BPG is committed to discovery and dissemination of knowledge
Review Open Access
Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
World J Gastroenterol. Apr 7, 2026; 32(13): 115536
Published online Apr 7, 2026. doi: 10.3748/wjg.v32.i13.115536
Reprogramming of amino acid metabolism in cholangiocarcinoma: A potential target for metabolic-targeted therapy
Kullanat Khawkhiaw, Worachart Lert-Itthiporn, Charupong Saengboonmee, Department of Biochemistry, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand
Kullanat Khawkhiaw, Worachart Lert-Itthiporn, Charupong Saengboonmee, Center for Translational Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand
Kullanat Khawkhiaw, Worachart Lert-Itthiporn, Charupong Saengboonmee, Cholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen 40002, Thailand
Naisana Seyedasli, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney 2006, New South Wales, Australia
Naisana Seyedasli, Centre for Cancer Research, The Westmead Institute for Medical Research, Sydney 2145, New South Wales, Australia
Ching-Feng Chiu, Graduate Institute of Obesity and Metabolism Sciences, Taipei Medical University, Taipei 110301, Taiwan
ORCID number: Kullanat Khawkhiaw (0009-0006-7922-629X); Worachart Lert-Itthiporn (0000-0002-7223-0169); Naisana Seyedasli (0000-0001-9012-3984); Ching-Feng Chiu (0000-0001-5591-0288); Charupong Saengboonmee (0000-0003-1476-1129).
Author contributions: Khawkhiaw K and Saengboonmee C conceptualized, reviewed, outlined, and wrote the first draft of the manuscript; Lert-Itthiporn W, Seyedasli N, and Chiu CF reviewed, supervised, and edited the manuscript; and all authors approved the final version of the manuscript.
Supported by Mekong - Lancang Cooperation Special Fund; and the Development and Promotion of Science and Technology Talents Project, Institute for the Promotion of Teaching Science and Technology of Thailand.
Conflict-of-interest statement: All authors declare that they do not have any conflicts of interest.
Corresponding author: Charupong Saengboonmee, MD, PhD, Associate Professor, Department of Biochemistry, Faculty of Medicine, Khon Kaen University, 123 Mittraphap Highway, Khon Kaen 40002, Thailand. charusa@kku.ac.th
Received: October 20, 2025
Revised: December 25, 2025
Accepted: February 9, 2026
Published online: April 7, 2026
Processing time: 159 Days and 9.5 Hours

Abstract

The incidence of cholangiocarcinoma (CCA), a highly aggressive malignancy of the bile duct epithelia, has been gradually increasing worldwide. However, curative treatments are still limited. Novel therapeutic strategies are urgently needed to improve patients’ survival and quality of life. Metabolic reprogramming has been well recognized as one of the hallmark processes supporting the development of several cancer types, including CCA. Apart from the Warburg effect and high glucose requirement in CCA cells, amino acid metabolism is also found to be essential in CCA development and progression. Upregulation of proteins and enzymes involved in amino acid metabolism is reported in CCA, typically associated with a poor prognosis for patients. Targeting these proteins and enzymes has been shown to retard CCA progression, and thus, they are promising targets for drug development. This article reviews the reprogramming of amino acid metabolism in CCA and its roles in CCA progression, such as aggressive phenotypes. The up-to-date development of therapeutic agents targeting particular proteins in amino acid metabolism is also discussed. A summary of the current knowledge gap and directions for further research are also provided and proposed.

Key Words: Amino acid; Biliary tract cancer; Cancer metabolism; Cholangiocarcinoma; Metabolic reprogramming

Core Tip: Metabolic reprogramming is a malignant hallmark found in many types of cancer, including cholangiocarcinoma (CCA). A higher requirement and dependency of certain amino acids is found in CCA and is generally associated with aggressive phenotypes of cancer cells, leading to poor prognosis of patients. In this article, amino acids with reports of their significance in CCA development and progression are reviewed. The mechanisms underlying amino acid metabolic reprogramming and their networks with intracellular signaling are also discussed. Up-to-date interventions and the opportunity for metabolic targeting in CCA treatment are proposed.



INTRODUCTION

Metabolic reprogramming is one of the malignant hallmarks of cancers[1]. Cancer cells exhibit metabolic plasticity, allowing them to utilize alternative metabolic pathways or alternative energy sources for rapid growth, survive under stressful conditions with high invasive ability[2]. Since the discovery of high aerobic glycolysis rates in cancer cells, also known as the Warburg effect, the metabolic reprogramming of cancers has drawn the attention of scientists and researchers to further investigate this unusual metabolism of cancer cells[3]. Growing evidence suggests that not only glucose metabolism, the primary energy-generating pathway for cells, but also the metabolism of other biomolecules, including fatty acids, nucleic acids, and amino acids, is significantly altered in cancer cells to support their malignant phenotypes[4]. The alterations of cellular metabolism involve not only catabolic pathways that yield high-energy compounds for the cells, but also anabolic pathways that synthesize building blocks and necessary molecules needed for the functional modifications of major biomolecules[5]. Interventions targeting these metabolic pathways are expected to be a promising strategy for cancer treatments[6]. A better understanding of the molecular basis and insights into the mechanisms of the metabolic alterations of these biomolecules is necessary for further development of anti-metabolic strategies to overcome cancer.

The reprogramming of amino acid metabolism has been relatively less studied than glucose and other carbohydrate metabolisms[7]. Amino acid metabolism is closely related to monosaccharide metabolism and could be integrated with the metabolic pathways of other nutrients[8]. The carbon skeleton of amino acids can be converted into intermediates in glucose metabolism and also in energy production pathways, such as the tricarboxylic acid (TCA) cycle. In addition to serving as the energy source, amino acids also function as the building blocks and nitrogenous backbones of other functional biomolecules, such as neurotransmitters and hormones[9]. In certain disorders, reprogramming of amino acid metabolism is associated with the occurrence of diseases[10]. For example, in specific cancer types, amino acids cannot be fully classified as essential or non-essential, because some cancer cell types become highly dependent on generally non-essential amino acids or become auxotrophic under specific circumstances[11,12]. Many types of invasive adenocarcinoma exhibit upregulated L-type amino acid transporters (LATs), which are predominantly associated with a poor prognosis in patients, including those with cholangiocarcinoma (CCA), a malignancy of bile duct epithelia[13-16]. These findings suggest the importance of high amino acid requirements in cancer cells and the potential significance of reprogramming amino acid metabolism as a therapeutic target[17].

CCA is a malignant transformation of epithelial cells lining the biliary trees. It can be classified according to anatomical location as intrahepatic (iCCA) and extrahepatic (eCCA) subtypes, in which the latter can be further subdivided into perihilar (pCCA) and distal (dCCA) types[18]. CCA accounts for 3% of all gastrointestinal cancers and ranks as the second most prevalent primary liver cancer[19]. Considered rare in Western countries, CCA has an exceptionally high incidence in East and Southeast Asia. Notably, its incidence is also increasing worldwide[20]. CCA is a cancer characterized by a highly heterogeneous genetic background and phenotypes[21,22]. Whole-genome and whole-exome sequencing studies across different regions have revealed distinct mutational landscapes among intrahepatic (iCCA), perihilar (pCCA), and distal (dCCA) subtypes. The variety of genetic backgrounds highlights the fundamental biological differences among these anatomical subtypes, which might include a unique metabolic reprogramming[19,23-25]. Actionable alterations, including fibroblast growth factor receptor 2 (FGFR2) fusions and isocitrate dehydrogenase 1 (IDH1) mutations, occur predominantly in iCCA, whereas pCCA and dCCA more frequently harbor human epidermal growth factor receptor 2 amplifications and KRAS mutations. In addition, mutation frequencies vary by geographic region and disease etiology; for example, IDH1 mutations are less common in Asian populations. Liver fluke-associated CCAs show lower IDH1 but higher TP53 mutation rates compared with CCAs of other etiologies[21,26,27]. IDH1 is directly functional in the TCA cycle, whereas KRAS and TP53 can regulate the expression of several genes involved in energy metabolism. These suggest the distinct patterns of metabolic preference and alteration in CCA originated from different etiologies and regions. A different pattern of metabolic reprogramming in CCA might, therefore, be an opportunity as well as a challenge in targeted therapeutic development of CCA.

Despite advanced understanding of pathogenesis and the development of new therapeutic modalities, the curative treatment of CCA remains limited. This resulted in poor 5-year survival rates of 7% to 20% among patients[28]. The challenges of CCA treatment stem from several factors, including the aggressive, silently progressive nature of the disease, which often leads to diagnosis at an advanced stage[18]. The only curative surgical tumor resection can be performed in approximately one-third of patients who have an early diagnosis[29]. Available targeted therapies for the FGFR2 fusion gene benefit only 10%-15% of patients with this mutation[30-32]. In contrast, the majority of patients in the region with the highest CCA incidence do not harbor this mutation[32]. Standard chemotherapy for advanced-stage CCA can prolong survival in those fit for the chemotherapeutic course; however, the improvement is modest, with a median survival of less than a year[28]. Therefore, appropriate and effective treatments for CCA have remained a challenge for decades and require further investigation to identify novel therapeutic modalities for curative treatment and to improve patients’ quality of life.

Metabolic reprogramming is also one of the malignant hallmarks of CCA[33], and aberrant metabolisms of glucose, fatty acids, and amino acids have been gradually reported. As mentioned earlier, upregulated LATs are common among invasive adenocarcinoma, including CCA[13,15,16]. High LAT expression has been reported in several biliary tract cancers, including intrahepatic CCA[16], primary sclerosing cholangitis-associated biliary tract cancer[34], and biliary tract adenocarcinoma[35]. These findings suggest increased amino acid uptake and, hence, a dependency on amino acids in CCA cells. In this context, tumor metabolism is of particular interest because metabolic reprogramming, a hallmark of cancer, is driven by oncogenic signaling and influences gene and protein expression. Metabolic reprogramming then provides metabolic enzymes and metabolites that can serve as diagnostic and prognostic biomarkers and as targets for treatment[36,37]. This review then includes evidence of the amino acid requirement for CCA, which may be targetable for CCA treatment. A comprehensive perspective on each amino acid metabolism and its associated pathways, as well as the potential for clinical translation, is also discussed.

REPROGRAMMING OF AMINO ACID METABOLISM IN CCA
Glutamine: A generally non-essential amino acid that is essential for CCA

Glutamine is recognized as an alternative energy source for cancer cells, in addition to glucose[38]. Many cancers increase glutamine uptake and utilize it as an energy source by replenishing the TCA cycle intermediate, also known as the anaplerotic pathway[39]. This pathway can be achieved through glutaminolysis, the conversion of imported glutamine into a TCA cycle intermediate. Mitochondrial glutaminolysis begins with the transportation of glutamine through the inner mitochondrial membrane via a glutamine transporter, solute carrier family 1 member 5[40], followed by the conversion of glutamine to glutamate by glutaminases (GLSs) that are localized in mitochondria[41,42]. Mitochondrial glutamate can be exported to the cytosol through the solute carrier family 25 member 18 and solute carrier family 25 member 22 transporters and then participate in the biosynthesis of glutathione, or undergo conversion into alpha-ketoglutarate (α-KG) by glutamate dehydrogenase 1 (GLUD1/GDH1). Mitochondrial α-KG enters the TCA cycle, contributing to either the oxidative phosphorylation process or the reductive carboxylation pathway. NADH or FADH2 derived from glutamine can serve as electron donors for energy production[43]. Citrate, generated by reductive carboxylation of α-KG, is especially crucial for lipid synthesis under low-oxygen conditions[44]. On the other hand, α-KG can also be exported from mitochondria through solute carrier family 25 member 11 to the cytoplasm[45] and participate in fatty acid biosynthesis and NADH generation[46]. Thus, glutamine can serve not only as an energy source for cancer cells but also as a building block for other anabolic pathways required for cancer cell proliferation and tumor growth.

In iCCA, combined data from the Oncomine database with immunohistochemistry suggest overexpression of glutaminase-1 (GLS1) in iCCA tissues compared with peritumoral areas[47]. Overexpression of GLS1 is associated with metastasis in patients with CCA and the increased invasive ability of CCA cells in vitro. High expression of GLS1 is negatively correlated with E-cadherin expression, an epithelial marker highly expressed in epithelial cells. Conversely, GLS1 expression is positively correlated with vimentin expression, a mesenchymal marker, suggesting that GLS1 is associated with epithelial-mesenchymal transition and is associated with the higher metastatic potential of CCA cells when GLS1 is overexpressed. Moreover, GLS1 expression was significantly associated with poor tumor differentiation and lymphatic metastasis in the patients. Patients with high GLS1 expression had poorer overall and disease-free survival than those with low GLS1 expression in tumor tissues. Collectively, GLS1 is, hence, proposed as a promising therapeutic target for iCCA treatment[47]. However, the molecular mechanisms need to be investigated to determine whether the anti-proliferative and anti-metastatic effects of suppressed GLS1 are direct effects of its functional loss in other biological processes or indirect effects from insufficient cellular energy.

Due to the high proliferative rates and active metabolism of cancer cells, significant amounts of energy are consumed to support their rapid growth[48]. When metabolic oxygen demand exceeds supply, oxygen-deficient areas in cancer cells are exacerbated, and their metabolism changes[49]. Substantial depletion of glutamine in the tumor core region is found to be a common event in solid tumors[49]. An in vitro study suggests that CCA cell growth is highly dependent on glutamine[50]. A resistance to cisplatin and gemcitabine, the standard chemotherapy for CCA, can also be overcome by glutamine depletion. Previous studies have shown that CCA cells with cisplatin resistance exhibit enhanced expression of glucose transporter and glutamine transporter, as well as genes associated with cancer progression, including L1CAM, AXL, and ZEB2. Thus, glucose starvation and treatment with the GLS1 inhibitor CB-839 (telaglenastat) exerted synergistic effects in reducing intrahepatic CCA cell proliferation and overcoming the cisplatin-resistant phenotype[50]. The underlying cisplatin resistance mechanisms in CCA cells may also result from adaptation that reprograms glutamine metabolism[51]. A recent study also demonstrated significantly higher glutamine levels in sera from patients with CCA compared with the normal control group. The in vitro and in vivo studies suggested that glutamine is beneficial for CCA cells, preventing ferroptosis and promoting tumor growth. The regulation of glutamine metabolism can also be modulated by gut microbiota via the anaplastic lymphoma kinase/NADPH oxidase 1 signaling axis[52]. Exogenous glutamine supplementation can also protect CCA cells from ferroptosis. Maintaining glutamine levels is thereby vital to CCA cells, in addition to replenishing the TCA cycle via glutamate and α-KG generation. Another study showed that glutamine synthetase (GS) was upregulated in CCA cells by the mediation of sirtuin 6. Inhibiting either GS or sirtuin 6 exerted significant anti-tumor effects and sensitized CCA cells to chemotherapy[53]. These findings affirm a significant role of glutamine in CCA progression and thus targeting glutamine is also promising for CCA cases with documented chemoresistance. In addition to preclinical models, a phase II clinical trial using telaglenastat for solid tumors, including biliary tract cancer, suggests that telaglenastat is safe with a recommended dose of 800 mg twice daily. At a dose with favorable pharmacokinetics and pharmacodynamics, it also demonstrates anti-tumor activity, supporting further clinical development, while the common adverse effects are fatigue (23%) and nausea (19%) among 120 patients enrolled in the trial[54].

Upregulation of glutamate-oxaloacetate transaminase (GOT1) has been associated with malignant phenotypes of various cancers, including pancreatic ductal adenocarcinoma[55], colorectal cancer[56], and prostate cancer[57]. Further, annexin A1 (ANXA1) can promote CCA proliferation via glutamine metabolism through GOT1 stabilization[58]. ANXA1 generally functions as a scaffold protein, connecting ubiquitin-specific protease 5 with GOT1 and facilitating their interaction. This scaffolding activity promotes GOT1 deubiquitylation and stabilization, thereby inhibiting its degradation via the ubiquitin-proteasome pathway[58]. The glutamine metabolism is thereby enhanced, supporting CCA tumor growth. All these studies reiterate the significance of glutamine, an amino acid classified as non-essential in most cells but highly essential in CCA cells for growth and progression. A schematic summary of the glutamine metabolism and its roles in CCA progression is shown in Figure 1.

Figure 1
Figure 1 The alteration of glutamine metabolism in cholangiocarcinoma cells. Glutaminolysis begins with the transportation of glutamine through the inner mitochondrial membrane through solute carrier family 1 member 5, followed by the conversion of glutamine to glutamate by GLSs. Mitochondrial glutamate can be converted to alpha-ketoglutarate by GDH1. Aspartate can be exported to the cytoplasm, undergo transamination, and converted to oxaloacetate by glutamate-oxaloacetate transaminase (GOT1). Annexin A1 generally functions as a scaffold protein, connecting ubiquitin-specific protease 5 with GOT1 and facilitating their interaction. This scaffolding activity promotes GOT1 deubiquitylation and stabilization, inhibiting its degradation via the ubiquitin-proteasome pathway. SLC1A5: Solute carrier family 1 member 5; AGC: Aspartate-glutamate carrier; GLS1: Glutaminase 1; GDH: Glutamate dehydrogenase; GOT: Glutamic-oxaloacetic transaminase; α-KG: Alpha-ketoglutarate; ANXA1: Annexin A1; USP5: Ubiquitin-specific protease 5; GAD1: Glutamate decarboxylase 1; SLC25A11: Solute carrier family 25 member 11; TCA: Tricarboxylic acid.
Gamma-aminobutyric acid: A glutamate derivative serving as a negative regulator of CCA

Gamma-aminobutyric acid (GABA) is a potent amino acid neurotransmitter with physiologic effects throughout the body[59,60]. Although classified as an amino acid containing both an amino and a carboxylic group, GABA is different from the other common amino acids in that its amino group is not attached to the α-carbon. GABA is not translated from genetic codons, but is mainly synthesized by the decarboxylation of glutamate by glutamate decarboxylase[61]. Glutamate, an essential precursor for GABA synthesis, is derived from glutamine and α-KG, the TCA cycle-derived intermediate. Glutamate dehydrogenase (GDH) catalyzes the reaction between glutamate, α-KG, and ammonia, using NAD+ or NADP+ as coenzymes. GDH directly regulates glutamate concentrations and indirectly regulates GABA levels by altering the availability of precursors[62]. A study in extrahepatic CCA models revealed that GDH promoted cell proliferation and metastasis, potentially via Smad-mediated induction of transforming growth factor-β signaling. GDH expression level was also correlated with CD34 expression, cellular differentiation, the presence or absence of capsular and vascular invasion, lymph node metastasis, neural invasion, and patient age[63].

Several studies suggest that GABA exerts antagonistic effects on CCA progression. GABA inhibits in vitro CCA cell proliferation via both cyclic AMP/protein kinase A- and d-myo-inositol-1,4,5-triphosphate/Ca2+-dependent pathways, leading to downregulation of phosphorylated extracellular signal-regulated kinase 1/2[64]. The in vivo study, GABA significantly decreased tumor volume, tumor cell proliferation, and vascular endothelial growth factor-A/C (VEGF-A/C) expression, thereby enhancing apoptosis in CCA. Additionally, GABA can inhibit the invasive ability of CCA cells by suppressing the activity and expression of 2 matrix metalloproteinases (MMPs), including MMP-2 and MMP-9[65]. A study in CCA cell lines under diabetogenic conditions revealed that treatment with baclofen, an aminobutyric acid B2 receptor agonist, can inhibit the phosphorylation of glycogen synthase kinase 3, thereby further phosphorylating β-catenin, leading to its degradation[66]. On the other hand, treatment with baclofen also suppresses phosphorylation of signal transducer and activator of transcription 3 (STAT3). Altogether, these inhibitions led to reduced CCA cell proliferation via downregulation of c-Myc and cyclin D1 expression[67]. Another study also suggested that the anti-proliferative and pro-apoptotic effects of GABA on CCA cells are mediated by downregulation of p-STAT3 (Tyr705) expression[67]. Collectively, all these studies have shown that, although GABA is derived from glutamine and glutamate, it exhibits anti-tumor effects in CCA. Therefore, the regulation of glutamine and glutamate metabolism in CCA cells, which maintains a balance between benefits and cytotoxicity, should be another potential point of investigation. Unveiling the metabolic networks of glutamine in CCA cells could help identify a metabolic vulnerability that could inform the development of a therapeutic strategy. The pathways involving GABA metabolism and the effects of its analogs on CCA cell biology are summarized in Figure 2.

Figure 2
Figure 2 Metabolic pathways of gamma-aminobutyric acid and the effects of gamma-aminobutyric acid analogs on cholangiocarcinoma cell biology. Gamma-aminobutyric acid (GABA) inhibits cholangiocarcinoma (CCA) cell proliferation via both cyclic AMP/protein kinase A and d-myo-inositol-1,4,5-triphosphate/Ca2+-dependent pathways, leading to downregulation of phosphorylated extracellular signal-regulated kinase 1/2. Moreover, an aminobutyric acid B2 receptor agonist can inhibit glycogen synthase kinase 3 phosphorylation, thereby further phosphorylating β-catenin, leading to its degradation. The up or down direction of the arrows indicates increased or decreased levels in CCA cells. Black arrows denote the pro-tumor effects of the genes or intermediates, while the white arrows denote their anti-tumor effects. GABA: γ-aminobutyric acid; GLS1: Glutaminase 1; GDH: Glutamate dehydrogenase; GAD1: Glutamate decarboxylase 1; cAMP: Cyclic adenosine monophosphate; IP3: Inositol trisphosphate; PKA: Protein kinase A; ERK: Extracellular signal-regulated kinase; GSK3: Glycogen synthase kinase-3.
Metabolic network of glutamine: The interaction among populations in the tumor microenvironment

As mentioned earlier, glutamine is an essential nutrient for cancer cells, including CCA. On the other hand, glutamine is a precursor for glutamate and GABA, derivatives that could be toxic to CCA cells at high concentrations. A balance between pro- and anti-tumor metabolic pathways of glutamine is crucial for tumor growth and survival. Understanding how the glutamine metabolic network in CCA cells regulates the balance between pro-tumor and anti-tumor metabolites is critically important but remains insufficiently explored. Resolving these missing pieces of information is essential for identifying effective metabolic therapeutic strategies in CCA, which requires an integrated analysis of the metabolic tug-of-war between tumor cells and immune cells within the tumor microenvironment (TME). Although direct evidence in CCA remains limited, relevant insights can be inferred from studies in other cancer types. Within the TME, cancer cells show a marked dependence on glutamine to sustain proliferation and metabolic activity, a phenomenon commonly referred to as glutamine addiction[68,69]. However, glutamine is also needed for non-tumor cells and immune cells. Tumor-associated macrophages, one of the most abundant immune populations in the TME, typically display an M2-like phenotype that supports tumor growth and immune evasion. Glutamine metabolism plays a central role in M2 macrophage activation and polarization. Specifically, the ratio of α-KG to succinate generated from glutamine metabolism regulates M2 activation, with an increased α-KG/succinate ratio favoring the M2 phenotype[70]. In addition, GS is required to maintain M2 macrophage phenotype, whereas GS inhibition can reprogram M2 macrophages toward an M1-like phenotype[71], thereby enhancing antitumor immunity and reducing immunosuppression and metastatic potential.

Beyond the macrophages, glutamine is also essential for adaptive immune cells. Activated T lymphocytes upregulate the glutamine transporter, solute carrier family 7 member 5, leading to increased glutamine uptake and entry into the TCA cycle to support cellular function[72]. Glutamine catabolism further promotes glutathione synthesis, thereby influencing T-cell differentiation and function[73]. Similarly, B-cell proliferation and metabolism within the TME are highly dependent on glutamine. Together, these findings indicate that glutamine metabolism orchestrates both tumor-promoting and tumor-suppressing processes by differentially regulating cancer cells and immune cells. Disrupting this metabolic balance may therefore represent a promising therapeutic window in CCA, although tumor-specific investigations are still needed.

Methionine: An essential amino acid for normal cells and CCA

Methionine typically serves as a key metabolite that plays crucial roles in regulating epigenetics through chromatin methylation and nuclear function, mediated by polyamines. It is also needed to maintain the redox status in cells via glutathione synthesis. In mammals, methionine is converted into S-adenosylmethionine (SAM/AdoMet), catalyzed by methionine adenosyl transferase (MAT), which facilitates the transfer of an adenosine group from ATP to the sulfur in methionine[74]. SAM serves as the methyl group donor for methylation processes involving DNA, proteins, and lipids, generating S-adenosylhomocysteine (SAH)[75]. This compound subsequently undergoes hydrolysis, producing adenosine and homocysteine by SAH hydrolase[76]. The methionine cycle is completed when homocysteine is remethylated by homocysteine methyltransferase (HMT) with 5-methyltetrahydrofolate as a methyl donor, linking the folate cycle to the conversion of homocysteine back into methionine. This reaction requires vitamin B12 (cobalamin) as a coenzyme.

The methylation of DNA and histones by DNA methyltransferases and HMTs requires SAM as a cofactor[76]. Methionine adenosyltransferase 1 (MAT1) interacts with and modulates the function of the well-known oncoprotein, c-Myc, which is overexpressed in human CCA[77,78]. On the other hand, methionine adenosyltransferase alpha (MATα1) and c-Myc/Maf proteins reciprocally regulate each other at the promoter level. The MAT1A promoter is hypermethylated from c-Myc-mediated transcriptional suppression. In the murine CCA model, knocking down MAT1A increased tumor growth, invasion, and metastasis. In primary biliary cholangitis, an autoimmune cholangiopathy associated with iCCA and eCCA[79,80], treatment of SAM protects cholangiocytes via its antioxidant and S-glutathionylation properties, thereby improving liver biochemistry[81].

Methionine salvage pathways are universally used to regenerate methionine from 5′-methylthioadenosine[82], a sulfur-containing nucleoside produced from SAM primarily via the polyamine biosynthetic pathway. 5-methylthioadenosine phosphorylase (MTAP) is a key enzyme in the methionine salvage pathway, and the MTAP gene is deleted in several cancers. The deletion of the MTAP gene is hypothesized to result from its chromosomal proximity to the tumor suppressor gene CDKN2A, and both gene deletions are frequently found together in cancers[83]. A study across 390 cell lines suggested that the viability of MTAP-deficient cancer cells is impaired by the depletion of the protein arginine methyltransferase (PRMT5). Loss of MTAP leads to the accumulation of MTA, thereby creating a hypomorphic state of PRMT5, which selectively sensitizes cells to PRMT5 inhibition[83]. PRMT5-targeting drugs significantly inhibited CCA cell proliferation and, in combination with cisplatin and gemcitabine, synergistically suppressed the growth of CCA organoids. A molecular mechanism study suggested that the inhibition blunted the expression of oncogenic genes involved in chromatin remodeling and DNA repair, leading to the formation of RNA loops and promoting DNA damage[84]. These studies suggested that methionine not only serves as a precursor for energy metabolism but also participates in several pro-tumorigenic pathways in CCA cells. Roles of methionine metabolism in CCA cells are summarized in Figure 3.

Figure 3
Figure 3 Metabolic pathways and the alteration of methionine metabolism in cholangiocarcinoma cells, including the methionine cycle and the methionine salvage pathway. Loss of methylthioadenosine phosphorylase in the methionine salvage pathway leads to the accumulation of 5'-methylthioadenosine, thereby creating a hypomorphic state of protein arginine methyltransferase 5 (PRMT5), which selectively sensitizes cells to PRMT5 inhibition. The methionine adenosyltransferase 1 promoter is hypermethylated due to c-Myc-mediated transcriptional suppression, leading to increased tumor growth, invasion, and metastasis. The up or down direction of the arrows indicates whether levels in cholangiocarcinoma cells are increased or decreased. MTR: 5-methylthioribose; MTAP: Methylthioadenosine phosphorylase; MTA: 5'-methylthioadenosine; MAT1: Methionine adenosyltransferase 1; MS: Methionine synthase; AHCY: Adenosylhomocysteinase; MT: Methyltransferase; PRMT5: Protein arginine methyltransferase 5.
Tryptophan: Different metabolic pathways provide different effects on CCA

Tryptophan is an essential amino acid that undergoes metabolism through 3 primary pathways - approximately 95% through the kynurenine (Kyn) pathway, 1% through the 5-hydroxytryptamine (serotonin, 5-HT) pathway[85], and the remaining 4% through the indole pathway[86]. Kyn pathway (KP) is the main pathway for tryptophan metabolism that leads to nicotinamide adenine dinucleotide production. The process begins with the action of indoleamine-2,3-dioxygenase-1 and -2 (IDO-1 and IDO-2), as well as tryptophan 2,3-dioxygenase, which serve as initial rate-limiting enzymes responsible for converting L-tryptophan into N-formyl-L-Kyn. This intermediate is then processed by formamidase, producing L-Kyn[87]. Studies in several diseases suggest that the KP also plays a crucial role in immune system regulation, contributing to immunosuppression during infections or inflammatory responses. Indoleamine 2,3-dioxygenase 1 (IDO1) has a significant impact on immune cell modulation. It helps maintain a balance between immune activation and suppression at sites of localized inflammation[88]. Evidence for tumoral immune resistance revealed that IDO can deplete tryptophan, leading to G1 phase arrest and halting the proliferation of T-lymphocytes[89,90]. A pilot study in CCA examined databases of patients with CCA for expression of 19 immune checkpoints and evaluated their prognostic significance[91]. The study revealed that IDO1 expression was associated with poor overall survival. Additionally, IDO1 gene expression in patients with CCA was associated with advanced stages II and III[91]. Immunohistochemical microarray analysis in extrahepatic CCA revealed that IDO1 expression was associated with decreased numbers of CD8+ tumor-infiltrating lymphocytes, elevated pN category in TNM staging, overall stage, and recurrence[92]. However, the molecular mechanisms linking IDO1 and the progression of CCA remain to be elucidated. Targeting Kyn metabolism as a potential treatment strategy for CCA remains unexplored and warrants further investigation.

Serotonin, or 5-HT, is another metabolite produced from tryptophan, which is first converted to 5-hydroxy-L-tryptophan through a hydroxylation (oxidation) process, and then decarboxylated to form 5-HT[86]. The hydroxylation step is facilitated by tryptophan hydroxylase (TPH), a key enzyme in serotonin synthesis that regulates the rate of production. At the same time, the decarboxylation is carried out by aromatic-L-amino acid decarboxylase. TPH is predominantly found in the brain's raphe nuclei and in the enterochromaffin cells of the gut lining, which are the primary sites for serotonin synthesis[86]. A study of tumor tissues from patients with CCA revealed that TPH expression in CCA cells is statistically significantly higher than in normal liver samples[93]. In contrast, mRNA levels and protein expression of monoamine oxidase (MAO), a mitochondrial-bound enzyme responsible for 5-HT degradation, are significantly decreased in CCA cell lines compared with a non-malignant cholangiocyte cell line, accompanied by increased 5-HT secretion[93]. Treatment with 5-HT promotes the growth of CCA cell lines, whereas treatment with p-chlorophenylalanine, a tryptophan hydroxylase inhibitor, suppresses CCA growth in vivo. Moreover, the use of telotristat ethyl, a prodrug with specific inhibitory activity against TPH and blocking serotonin synthesis[94,95], combined with chemotherapy resulted in reduced serotonin levels, enhanced tumor growth inhibition in vivo, and increased animal survival. However, phase 2 of the clinical trial still did not address significant safety issues noted with telotristat ethyl in combination with gemcitabine plus cisplatin chemotherapy[95]. Therefore, although highly promising at targeting serotonin metabolism for cancer treatment, further comprehensive studies are needed for clinical translation to patients in the real world.

A serotonin degradation enzyme, monoamine oxidase A (MAOA)-another isoform of MAO with an X-linked gene[96] suppresses CCA cells' growth and invasion after forced overexpression[97]. Interestingly, the CpGI 28 promoter region of MAOA is hypermethylated in CCA samples via unclear mechanisms, but not in non-malignant areas. Transcription factor SP-1 serves as a major transcription factor binding to the MAOA core promoter and positively regulates expression and catalytic activity of MAOA[98], with R1 repressor 2 (RAM2)[99] competitively binding to the SP1 site on the core promoter of MAOA and leading to suppression of MAOA gene expression. The balance between SP-1 and RAM2 can modulate MAOA expression. The study suggests that interleukin-6 signaling mediates the balance between SP-1 and RAM2 by increasing RAM2 association with the MAOA promoter, thereby preventing SP-1 from accessing the core promoter of MAOA.

The last metabolic pathway of tryptophan in humans, which accounts for approximately 4%, does not occur in human cells but rather in gut microorganisms[100]. Most dietary tryptophan derived from protein digestion is absorbed in the small intestine; however, a substantial amount of tryptophan is still passed to the large intestine, where commensal bacteria metabolize the remainder[101]. From this metabolic pathway, bioactive indole compounds are generated, including indole-3-propionic acid, indole-3-acetic acid, indole-3-aldehyde, indole-3-lactic acid, and indole-3-acrylic acid; hence, this tryptophan metabolism process is referred to as the indole pathway[102]. The effects of indolic metabolites from intestinal bacteria have been reported in a few studies on colorectal cancer, with immunomodulatory and anti-tumor effects[103,104]. However, the underlying mechanisms have not been clarified in most studies. To date, several studies have demonstrated the potential effects of indoles in hepatobiliary diseases; however, there is a lack of clear evidence on how tryptophan-derived indoles and the indole metabolic pathway influence the progression of CCA[105-107]. Given that the biliary tract microbiota is a homologous community to the intestinal microbiome, it is hypothesized that the production of indole by biliary tract commensal microorganisms may be another factor influencing CCA development and progression, similar to the roles of the intestinal microbiome in colorectal cancer[108-110]. However, systematic studies, both preclinical and clinical, are needed to support this hypothesis and could inform therapeutic designs based on the effects of the resident microbiome. A summary of tryptophan metabolism and its impact on CCA cells is depicted in Figure 4.

Figure 4
Figure 4 Metabolisms of tryptophan and its roles in cholangiocarcinoma cells, including the kynurenine pathway and serotonin pathway. In the serotonin pathway, monoamine oxidase A (MAOA) expression and catalytic activity can be regulated by the transcription factor SP-1, which binds to the MAOA promoter. R1 repressor competitively binds to the SP-1 site on the MAOA core promoter, leading to suppression of MAOA gene expression. The up or down direction of the arrows indicates increased or decreased levels in cholangiocarcinoma cells. MAOA: Monoamine oxidase A; RAM2: R1 repressor; TPH1: Tryptophan hydroxylase; DDC: Dopa decarboxylase; IDO1: Indoleamine 2,3-dioxygenase 1.
Branched-chain amino acids: Essential amino acids for both CCA cells and the TME

Branched-chain amino acids (BCAAs), including valine, leucine, and isoleucine, are essential amino acids[111]. In mammals, BCAA aminotransferases (BCAT) initially catalyze the transamination of BCAAs to branched α-keto acids (BCKAs), with α-KG as the most common nitrogen receiver, thus generating glutamate[112]. BCAT has low hepatic activity; therefore, the initial step of BCAA catabolism occurs in skeletal muscle, unlike other amino acids, whose catabolism occurs in liver cells. Branched chain amino acid transaminase 2 (BCAT2), a member of the BCAT family, encodes a ubiquitously expressed enzyme that catalyzes BCAA metabolism[113]. According to expression analysis of BCAT2 in pan-cancer, the Cancer Genome Atlas and the Genotype-Tissue Expression databases, BCAT2 was found to be upregulated in CCA compared with normal tissues[114]. This implies that the requirement for BCAA is increased in CCA cells and that the primary site of BCAA metabolism might shift from myocytes to malignantly transformed cholangiocytes. Expression of BCAT2 also demonstrates its modulatory potential in regulating immune cell infiltration into the TME[115]. However, a correlation between subtypes of immune cells and BCAT2 levels is largely dependent on cancer type, and the underlying mechanisms regulating tumor immune microenvironments remain to be elucidated[116,117].

Another study in CCA identified upregulation of a pancreatic progenitor cell differentiation and proliferation factor (PPDPF)[118]. This molecule disrupts the interaction between methylcrotonoyl-CoA carboxylase subunit alpha (MCCA) and methylcrotonoyl-CoA carboxylase subunit beta (MCCB). A disruption between MCCA and MCCB consequently leads to inhibited leucine catabolism and activated mammalian target of rapamycin (mTORC1), thereby promoting CCA cell growth and proliferation. Under amino acid starvation, Ariadne RBR E3 ubiquitin protein ligase 2 and OTU deubiquitinase 4 regulate PPDPF stability by modulating its ubiquitination. Moreover, interleukin-10 derived from monocytes and macrophages increases BCAA levels in CCA cells and further stabilizes PPDPF. An in vivo study reveals that PPDPF knockout or dietary leucine restriction significantly suppresses CCA progression[118]. This study suggests that BCAA metabolism is not only essential for intracellular energetic metabolism but also plays a role in the communication among stromal cells in CCA TMEs, where various mechanisms promote cancer aggressiveness and progression. A summary of the BCAA metabolism in CCA cells is shown in Figure 5.

Figure 5
Figure 5 Branch chain amino acid metabolism and its alteration in cholangiocarcinoma cells. The level of pancreatic progenitor cell differentiation and proliferation factor (PPDPF) protein is stabilized by OTU deubiquitinase 4, and leucine catabolism is inhibited, leading to its accumulation in the cytosol. Upon amino acid starvation, the PPDPF protein is ubiquitously degraded upon binding to ariadne homolog 2. The up or down direction of the arrows indicates increased or decreased levels in cholangiocarcinoma cells. The dashed arrow refers to unclarified mechanisms. IL-10: Interleukin-10; IL-10R: Interleukin-10 receptor; ARIH2: Ariadne homolog 2; OTUD4: OTU deubiquitinase 4; PPDPF: Pancreatic progenitor cell differentiation and proliferation factor; BCAT2: Branched chain amino acid transaminase 2; BCKD: Branched chain ketoacid dehydrogenase kinase; MCC: Methylcrotonyl-CoA carboxylase; mTOR: Mammalian target of rapamycin; GLS1: Glutaminase 1; GDH: Glutamate dehydrogenase.
Urea cycle: A nitrogen disposal pathway supporting CCA tumor growth

The urea cycle is the primary pathway for disposing of nitrogen in humans[98], which begins in the mitochondria of hepatocytes and terminates in the cytoplasm. The first step is a rate-limiting step that incorporates carbon monoxide and ammonia into carbamoyl phosphate by the enzyme carbamoyl phosphate synthetase I (CPS1), followed by the combination of carbamoyl phosphate and ornithine to generate citrulline by ornithine transcarbamoylase (OTC). The OTC is then transported into the cytoplasm, where it reacts with aspartate to form argininosuccinate, which is then converted into arginine by argininosuccinate lyase. Arginine undergoes hydrolysis by arginase to finally form urea and ornithine. Urea, as a nitrogen waste, is excreted from the body by the kidneys in urine. Dysregulation and reprogramming of the urea cycle are also reported in cancer cells[119-121]. Downregulation of CPS1, a rate-limiting enzyme that catalyzes the first reaction of the urea cycle, was significantly associated with higher pT status in TNM staging of iCCA and was an independent prognosticator predicting lower survival in patients[122]. However, co-expression of CPS1 and its long noncoding RNA, the CPS1 intronic transcript 1, was found to be associated with poor liver function and a poor prognosis in patients with intrahepatic CCA[123]. Levels of argininosuccinate synthetase, a key enzyme in the urea cycle, were also significantly lower in CCA cells than in non-tumor cells[124]. The in vitro study, depletion of extracellular arginine by pegylated arginine deiminase (ADI-PEG20) reduced cell proliferation and enhanced G0/G1 cell cycle arrest in CCA cell lines[124]. Although highly promising in vitro experiments, clinical investigations of ADI-PEG20 in CCA are still lacking. Early clinical trials in other cancers, such as melanoma, sarcoma, hepatocellular carcinoma, and biliary tract cancer, reported safety profiles and adverse effects of this agent[125,126]. However, phase II and III clinical trials in hepatocellular carcinoma did not demonstrate satisfactory therapeutic efficacy of ADI-PEG20[127,128]. In addition, using ADI-PEG20 can lead to intolerable immunological reactions in patients[125,129]. The immunogenicity of ADI-PEG20 is another concern that needs further investigation to reduce adverse effects while maintaining drug efficacy. The prognostic value of arginase-1 (Arg-1) in CCA was also explored, despite the lack of clarity regarding its underlying mechanism. Immunohistochemistry results reveal that high Arg-1 expression was associated with increased tumor size and shorter overall and disease-free survival in patients with iCCA[130]. These studies suggested that, although arginine is classified as a non-essential amino acid in normal tissues, it can become essential when cells become malignant. This potential metabolic vulnerability of CCA cells warrants further research to identify anti-metabolic targets for therapeutic development. A summary of the urea cycle and the alterations of its enzymes in CCA cells is shown in Figure 6.

Figure 6
Figure 6 The alteration of the urea cycle’s enzymes in cholangiocarcinoma progression. Alteration of enzymes in the urea cycle is associated with aggressive phenotypes of cholangiocarcinoma (CCA) cells and poor clinicopathological characteristics of patients. The up or down direction of the arrows indicates increased or decreased levels in CCA cells. CPS1: Carbamoyl phosphate synthetase 1; OTC: Ornithine transcarbamylase; ASS: Argininosuccinate synthetase; ASL: Argininosuccinate lyase; ARG: Arginase.
CHALLENGES FOR THE FUTURE DIRECTION OF CLINICAL TRANSLATION IN CCA

Despite a challenge and a greater theoretical limitation of inhibiting amino acid metabolism as a target of cancer treatment, several studies have investigated the potential of anti-metabolite agents, especially glutamine metabolism inhibitors, in clinical trials. Apart from telaglenastat, one of the glutaminase 1 inhibitors with the most advanced clinical studies, the trial results from other developed drugs have not yet been satisfactory and were terminated due to intolerable adverse effects. The glutamine antagonist, 6-diazo-5-oxo-L-norleucine (DON), demonstrated promising antitumor activity by inhibiting multiple glutamine-dependent enzymes in preclinical studies, but its clinical development was halted due to dose-limiting gastrointestinal toxicity[131]. Recent efforts to revive DON through tumor-targeted prodrugs aim to preferentially release DON at tumor sites or in protected compartments, such as the central nervous system, thereby minimizing gastrointestinal exposure. When administered at low concentrations but at metabolically effective doses, optimized DON prodrugs achieve sustained glutamine pathway inhibition with markedly improved tolerability, supporting renewed clinical interest in glutamine antagonism[132]. Another example is the selective GLS1 inhibitor bis-2-(5-phenylacetamido-1,3,4-thiadiazol-2-yl)ethyl sulfide (BPTES), whose clinical application has been limited by poor solubility[133] and unfavorable pharmacokinetics[134]. Innovative delivery approaches, such as a biomimetic, erythrocyte membrane-coated nanosystem (R-CM@MSN@BC) may overcome these barriers. This system enables controlled, reactive oxygen species-responsive release of BPTES and the photosensitizer Ce6 in combination with photodynamic therapy, resulting not only in direct tumor cell necroptosis but also in immunogenic cell death and remodeling of the immunosuppressive TME[135]. These examples illustrate that successful clinical translation of glutamine-targeted therapies depends on targeted drug delivery, rational combination strategies, and biomarker-driven trial designs, rather than further development of first-generation inhibitors alone. Nevertheless, because CCA is relatively rare, most clinical studies are initially conducted in other cancers. The safety and efficacy of using these agents in patients remain limited and may require additional information from other cancers before initiating trials in CCA and other biliary tract malignancies.

Reprogramming of amino acids in CCA is another potential avenue to investigate for cancer cells’ vulnerability and as a therapeutic target[136]. The currently available comprehensive view of amino acid alterations is summarized in Figure 7. However, several challenges arise in the research and development of therapeutic strategies targeting amino acids. First, amino acids are generally not a primary source of energy for metabolism, although some studies have shown that CCA is highly dependent on glutamine. Targeting amino acid metabolism may be helpful initially, but cancer cells may then undergo metabolic adaptation. Second, the enzymes involved in most amino acid metabolism in cancer cells are not cancer-specific isoforms and are also expressed in normal tissues. This could result in significant adverse effects after implementation in a clinical study, leading to the early termination of the trial. To address this concern, a delivery system that targets cancer cells precisely would help minimize side effects[137,138]. Third, CCA is a highly heterogeneous malignancy. Different cancer etiologies can give rise to distinct metabolic profiles, and molecular testing of the metabolic background of cancer cells in individual patients would be needed[139,140]. Fourth, comprehensive mathematical modeling approaches, including flux balance analysis, dynamic isotope tracing, and quantitative frameworks to estimate multi-pathway compensatory fluxes of amino acids, have not yet been elucidated in most cancers. At present, most studies focus on static measurements of gene expression or metabolite abundance, which are insufficient for modeling dynamic metabolic rewiring or ranking synergistic drug combinations. Finally, amino acids are essential nutrients required for protein synthesis to support the normal functions of tissues. Patients with cancer usually need protein supplementation to prevent frailty and prepare their health for intensive treatments. Therefore, simply restricting protein intake or the amino acid composition might not be as straightforward as controlling glucose intake or glycemic levels[138]. These challenges remain to be addressed and need further investigation, along with studies to develop treatment strategies targeting amino acid metabolism in cancer, including CCA.

Figure 7
Figure 7 A comprehensive view of amino acid metabolism alteration in cholangiocarcinoma. The up or down direction of the arrows indicates increased or decreased levels in cholangiocarcinoma cells. The black arrows denote the pro-tumor effects of the genes or intermediates, while the white arrow denotes their anti-tumor effects. AGC: Aspartate-glutamate carrier; GLS1: Glutaminase 1; GDH: Glutamate dehydrogenase; GOT: Glutamic-oxaloacetic transaminase; α-KG: Alpha-ketoglutarate; ANXA1: Annexin A1; USP5: Ubiquitin-specific protease 5; GAD1: Glutamate decarboxylase 1; GABA: γ-aminobutyric acid; cAMP: Cyclic adenosine monophosphate; IP3: Inositol trisphosphate; PKA: Protein kinase A; ERK: Extracellular signal-regulated kinase; GSK3: Glycogen synthase kinase-3; MTR: 5-Methylthioribose; MTAP: Methylthioadenosine phosphorylase; MTA: 5'-Methylthioadenosine; MAT1: Methionine adenosyltransferase 1; MS: Methionine synthase; AHCY: Adenosylhomocysteinase; MT: Methyltransferase; PRMT5: Protein arginine methyltransferase 5; MAOA: Monoamine oxidase A; TPH1: Tryptophan hydroxylase; DDC: Dopa decarboxylase; IDO1: Indoleamine 2,3-dioxygenase 1; ARIH2: Ariadne homolog 2; OTUD4: OTU deubiquitinase 4; PPDPF: Pancreatic progenitor cell differentiation and proliferation factor; BCAT2: Branched chain amino acid transaminase 2; BCKD: Branched chain ketoacid dehydrogenase kinase; MCC: Methylcrotonyl-CoA carboxylase; mTOR: Mammalian target of rapamycin; CPS1: Carbamoyl phosphate synthetase 1; OTC: Ornithine transcarbamylase; ASS: Argininosuccinate synthetase; ASL: Argininosuccinate lyase; ARG: Arginase.
CONCLUSION

CCA is a cancer with high metabolic adaptation, and its amino acid metabolism is significantly changed to meet the requirements of its malignant progression. Reprogramming of amino acids in CCA provides several vulnerabilities for developing therapeutic strategies targeting cancer cells. However, several challenges and limitations remain to be investigated. Comprehensive studies, not only focusing on the main metabolic pathways but also on associated metabolic networks, are needed to develop effective targeted therapy for aberrant amino acid metabolism with minimal adverse effects.

ACKNOWLEDGEMENTS

We would like to thank Professor John F Smith for editing this manuscript via the KKU Publication Clinic, Khon Kaen University, Thailand (PCO-1316).

References
1.  Hanahan D. Hallmarks of Cancer: New Dimensions. Cancer Discov. 2022;12:31-46.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 664]  [Cited by in RCA: 6191]  [Article Influence: 1547.8]  [Reference Citation Analysis (2)]
2.  Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell. 2011;144:646-674.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 51728]  [Cited by in RCA: 48986]  [Article Influence: 3265.7]  [Reference Citation Analysis (12)]
3.  Fendt SM. 100 years of the Warburg effect: A cancer metabolism endeavor. Cell. 2024;187:3824-3828.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 129]  [Reference Citation Analysis (0)]
4.  Faubert B, Solmonson A, DeBerardinis RJ. Metabolic reprogramming and cancer progression. Science. 2020;368:eaaw5473.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 501]  [Cited by in RCA: 1834]  [Article Influence: 305.7]  [Reference Citation Analysis (0)]
5.  Nong S, Han X, Xiang Y, Qian Y, Wei Y, Zhang T, Tian K, Shen K, Yang J, Ma X. Metabolic reprogramming in cancer: Mechanisms and therapeutics. MedComm (2020). 2023;4:e218.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 39]  [Cited by in RCA: 150]  [Article Influence: 50.0]  [Reference Citation Analysis (0)]
6.  Chiu CF, Guerrero JJG, Regalado RRH, Zhou J, Notarte KI, Lu YW, Encarnacion PC, Carles CDD, Octavo EM, Limbaroc DCI, Saengboonmee C, Huang SY. Insights into Metabolic Reprogramming in Tumor Evolution and Therapy. Cancers (Basel). 2024;16:3513.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 11]  [Reference Citation Analysis (0)]
7.  Pavlova NN, Zhu J, Thompson CB. The hallmarks of cancer metabolism: Still emerging. Cell Metab. 2022;34:355-377.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 1072]  [Cited by in RCA: 999]  [Article Influence: 249.8]  [Reference Citation Analysis (0)]
8.  Hosios AM, Hecht VC, Danai LV, Johnson MO, Rathmell JC, Steinhauser ML, Manalis SR, Vander Heiden MG. Amino Acids Rather than Glucose Account for the Majority of Cell Mass in Proliferating Mammalian Cells. Dev Cell. 2016;36:540-549.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 372]  [Cited by in RCA: 503]  [Article Influence: 50.3]  [Reference Citation Analysis (0)]
9.  Liu X, Ren B, Ren J, Gu M, You L, Zhao Y. The significant role of amino acid metabolic reprogramming in cancer. Cell Commun Signal. 2024;22:380.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 65]  [Reference Citation Analysis (0)]
10.  Qiu H, Shao N, Liu J, Zhao J, Chen C, Li Q, He Z, Zhao X, Xu L. Amino acid metabolism in tumor: New shine in the fog? Clin Nutr. 2023;42:1521-1530.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 25]  [Reference Citation Analysis (0)]
11.  Chen J, Cui L, Lu S, Xu S. Amino acid metabolism in tumor biology and therapy. Cell Death Dis. 2024;15:42.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 145]  [Reference Citation Analysis (0)]
12.  Vettore L, Westbrook RL, Tennant DA. New aspects of amino acid metabolism in cancer. Br J Cancer. 2020;122:150-156.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 223]  [Cited by in RCA: 354]  [Article Influence: 59.0]  [Reference Citation Analysis (0)]
13.  Yothaisong S, Namwat N, Yongvanit P, Khuntikeo N, Puapairoj A, Jutabha P, Anzai N, Tassaneeyakul W, Tangsucharit P, Loilome W. Increase in L-type amino acid transporter 1 expression during cholangiocarcinogenesis caused by liver fluke infection and its prognostic significance. Parasitol Int. 2017;66:471-478.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 15]  [Cited by in RCA: 19]  [Article Influence: 1.7]  [Reference Citation Analysis (0)]
14.  Janpipatkul K, Suksen K, Borwornpinyo S, Jearawiriyapaisarn N, Hongeng S, Piyachaturawat P, Chairoungdua A. Downregulation of LAT1 expression suppresses cholangiocarcinoma cell invasion and migration. Cell Signal. 2014;26:1668-1679.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 35]  [Cited by in RCA: 46]  [Article Influence: 3.8]  [Reference Citation Analysis (0)]
15.  Yothaisong S, Dokduang H, Anzai N, Hayashi K, Namwat N, Yongvanit P, Sangkhamanon S, Jutabha P, Endou H, Loilome W. Inhibition of l-type amino acid transporter 1 activity as a new therapeutic target for cholangiocarcinoma treatment. Tumour Biol. 2017;39:1010428317694545.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 33]  [Cited by in RCA: 60]  [Article Influence: 6.7]  [Reference Citation Analysis (0)]
16.  Selenge B, Yamada S, Morine Y, Ikemoto T, Saito Y, Takasu C, Teraoku H, Okikawa S, Shimada M. Impact of L-type amino acid transporter 1 on intrahepatic cholangiocarcinoma. J Med Invest. 2023;70:160-165.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 4]  [Reference Citation Analysis (0)]
17.  Puris E, Gynther M, Auriola S, Huttunen KM. L-Type amino acid transporter 1 as a target for drug delivery. Pharm Res. 2020;37:88.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 50]  [Cited by in RCA: 144]  [Article Influence: 24.0]  [Reference Citation Analysis (0)]
18.  Brindley PJ, Bachini M, Ilyas SI, Khan SA, Loukas A, Sirica AE, Teh BT, Wongkham S, Gores GJ. Cholangiocarcinoma. Nat Rev Dis Primers. 2021;7:65.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 100]  [Cited by in RCA: 601]  [Article Influence: 120.2]  [Reference Citation Analysis (2)]
19.  Ilyas SI, Affo S, Goyal L, Lamarca A, Sapisochin G, Yang JD, Gores GJ. Cholangiocarcinoma - novel biological insights and therapeutic strategies. Nat Rev Clin Oncol. 2023;20:470-486.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 45]  [Cited by in RCA: 147]  [Article Influence: 49.0]  [Reference Citation Analysis (0)]
20.  Pascale A, Rosmorduc O, Duclos-Vallée JC. New epidemiologic trends in cholangiocarcinoma. Clin Res Hepatol Gastroenterol. 2023;47:102223.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 27]  [Reference Citation Analysis (0)]
21.  Chan-On W, Nairismägi ML, Ong CK, Lim WK, Dima S, Pairojkul C, Lim KH, McPherson JR, Cutcutache I, Heng HL, Ooi L, Chung A, Chow P, Cheow PC, Lee SY, Choo SP, Tan IB, Duda D, Nastase A, Myint SS, Wong BH, Gan A, Rajasegaran V, Ng CC, Nagarajan S, Jusakul A, Zhang S, Vohra P, Yu W, Huang D, Sithithaworn P, Yongvanit P, Wongkham S, Khuntikeo N, Bhudhisawasdi V, Popescu I, Rozen SG, Tan P, Teh BT. Exome sequencing identifies distinct mutational patterns in liver fluke-related and non-infection-related bile duct cancers. Nat Genet. 2013;45:1474-1478.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 332]  [Cited by in RCA: 403]  [Article Influence: 31.0]  [Reference Citation Analysis (0)]
22.  Ong CK, Subimerb C, Pairojkul C, Wongkham S, Cutcutache I, Yu W, McPherson JR, Allen GE, Ng CC, Wong BH, Myint SS, Rajasegaran V, Heng HL, Gan A, Zang ZJ, Wu Y, Wu J, Lee MH, Huang D, Ong P, Chan-on W, Cao Y, Qian CN, Lim KH, Ooi A, Dykema K, Furge K, Kukongviriyapan V, Sripa B, Wongkham C, Yongvanit P, Futreal PA, Bhudhisawasdi V, Rozen S, Tan P, Teh BT. Exome sequencing of liver fluke-associated cholangiocarcinoma. Nat Genet. 2012;44:690-693.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 398]  [Cited by in RCA: 407]  [Article Influence: 29.1]  [Reference Citation Analysis (0)]
23.  Nakamura H, Arai Y, Totoki Y, Shirota T, Elzawahry A, Kato M, Hama N, Hosoda F, Urushidate T, Ohashi S, Hiraoka N, Ojima H, Shimada K, Okusaka T, Kosuge T, Miyagawa S, Shibata T. Genomic spectra of biliary tract cancer. Nat Genet. 2015;47:1003-1010.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 651]  [Cited by in RCA: 1010]  [Article Influence: 91.8]  [Reference Citation Analysis (0)]
24.  Lowery MA, Ptashkin R, Jordan E, Berger MF, Zehir A, Capanu M, Kemeny NE, O'Reilly EM, El-Dika I, Jarnagin WR, Harding JJ, D'Angelica MI, Cercek A, Hechtman JF, Solit DB, Schultz N, Hyman DM, Klimstra DS, Saltz LB, Abou-Alfa GK. Comprehensive Molecular Profiling of Intrahepatic and Extrahepatic Cholangiocarcinomas: Potential Targets for Intervention. Clin Cancer Res. 2018;24:4154-4161.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 215]  [Cited by in RCA: 445]  [Article Influence: 55.6]  [Reference Citation Analysis (0)]
25.  Jusakul A, Cutcutache I, Yong CH, Lim JQ, Huang MN, Padmanabhan N, Nellore V, Kongpetch S, Ng AWT, Ng LM, Choo SP, Myint SS, Thanan R, Nagarajan S, Lim WK, Ng CCY, Boot A, Liu M, Ong CK, Rajasegaran V, Lie S, Lim AST, Lim TH, Tan J, Loh JL, McPherson JR, Khuntikeo N, Bhudhisawasdi V, Yongvanit P, Wongkham S, Totoki Y, Nakamura H, Arai Y, Yamasaki S, Chow PK, Chung AYF, Ooi LLPJ, Lim KH, Dima S, Duda DG, Popescu I, Broet P, Hsieh SY, Yu MC, Scarpa A, Lai J, Luo DX, Carvalho AL, Vettore AL, Rhee H, Park YN, Alexandrov LB, Gordân R, Rozen SG, Shibata T, Pairojkul C, Teh BT, Tan P. Whole-Genome and Epigenomic Landscapes of Etiologically Distinct Subtypes of Cholangiocarcinoma. Cancer Discov. 2017;7:1116-1135.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 415]  [Cited by in RCA: 731]  [Article Influence: 81.2]  [Reference Citation Analysis (0)]
26.  Boscoe AN, Rolland C, Kelley RK. Frequency and prognostic significance of isocitrate dehydrogenase 1 mutations in cholangiocarcinoma: a systematic literature review. J Gastrointest Oncol. 2019;10:751-765.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 94]  [Cited by in RCA: 151]  [Article Influence: 21.6]  [Reference Citation Analysis (0)]
27.  Chaisaingmongkol J, Budhu A, Dang H, Rabibhadana S, Pupacdi B, Kwon SM, Forgues M, Pomyen Y, Bhudhisawasdi V, Lertprasertsuke N, Chotirosniramit A, Pairojkul C, Auewarakul CU, Sricharunrat T, Phornphutkul K, Sangrajrang S, Cam M, He P, Hewitt SM, Ylaya K, Wu X, Andersen JB, Thorgeirsson SS, Waterfall JJ, Zhu YJ, Walling J, Stevenson HS, Edelman D, Meltzer PS, Loffredo CA, Hama N, Shibata T, Wiltrout RH, Harris CC, Mahidol C, Ruchirawat M, Wang XW; TIGER-LC Consortium. Common Molecular Subtypes Among Asian Hepatocellular Carcinoma and Cholangiocarcinoma. Cancer Cell. 2017;32:57-70.e3.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 223]  [Cited by in RCA: 333]  [Article Influence: 37.0]  [Reference Citation Analysis (0)]
28.  Banales JM, Marin JJG, Lamarca A, Rodrigues PM, Khan SA, Roberts LR, Cardinale V, Carpino G, Andersen JB, Braconi C, Calvisi DF, Perugorria MJ, Fabris L, Boulter L, Macias RIR, Gaudio E, Alvaro D, Gradilone SA, Strazzabosco M, Marzioni M, Coulouarn C, Fouassier L, Raggi C, Invernizzi P, Mertens JC, Moncsek A, Ilyas SI, Heimbach J, Koerkamp BG, Bruix J, Forner A, Bridgewater J, Valle JW, Gores GJ. Cholangiocarcinoma 2020: the next horizon in mechanisms and management. Nat Rev Gastroenterol Hepatol. 2020;17:557-588.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 1940]  [Cited by in RCA: 1808]  [Article Influence: 301.3]  [Reference Citation Analysis (0)]
29.  Banales JM, Rodrigues PM, Affò S, Andersen JB, Aspichueta P, Boulter L, Bridgewater J, Calvisi DF, Cardenas A, Cardinale V, Carpino G, Coulouarn C, Dopazo C, Edeline J, Fabris L, Folseraas T, Forner A, Goeppert B, Heikenwalder M, Kendall TJ, Khan SA, Klümpen HJ, Koerkamp BG, Lamarca A, Lindsey S, Lleo A, Luedde T, Macias RIR, Morement H, Nault JC, Olaizola P, Perugorria MJ, Raggi C, Rimassa L, Saborowski A, Valle JW, Vithayathil M, Vogel A, Braconi C; International CCA Consensus Consortium. Cholangiocarcinoma 2026: status quo, unmet needs and priorities. Nat Rev Gastroenterol Hepatol. 2026;23:65-96.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 7]  [Cited by in RCA: 8]  [Article Influence: 8.0]  [Reference Citation Analysis (0)]
30.  Goyal L, Meric-Bernstam F, Hollebecque A, Valle JW, Morizane C, Karasic TB, Abrams TA, Furuse J, Kelley RK, Cassier PA, Klümpen HJ, Chang HM, Chen LT, Tabernero J, Oh DY, Mahipal A, Moehler M, Mitchell EP, Komatsu Y, Masuda K, Ahn D, Epstein RS, Halim AB, Fu Y, Salimi T, Wacheck V, He Y, Liu M, Benhadji KA, Bridgewater JA; FOENIX-CCA2 Study Investigators. Futibatinib for FGFR2-Rearranged Intrahepatic Cholangiocarcinoma. N Engl J Med. 2023;388:228-239.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 76]  [Cited by in RCA: 383]  [Article Influence: 127.7]  [Reference Citation Analysis (0)]
31.  Goyal L, Kongpetch S, Crolley VE, Bridgewater J. Targeting FGFR inhibition in cholangiocarcinoma. Cancer Treat Rev. 2021;95:102170.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 33]  [Cited by in RCA: 137]  [Article Influence: 27.4]  [Reference Citation Analysis (0)]
32.  Kongpetch S, Jusakul A, Lim JQ, Ng CCY, Chan JY, Rajasegaran V, Lim TH, Lim KH, Choo SP, Dima S, Popescu I, Duda DG, Kukongviriyapan V, Khuntikeo N, Pairojkul C, Rozen SG, Tan P, Teh BT. Lack of Targetable FGFR2 Fusions in Endemic Fluke-Associated Cholangiocarcinoma. JCO Glob Oncol. 2020;6:628-638.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 41]  [Cited by in RCA: 48]  [Article Influence: 8.0]  [Reference Citation Analysis (0)]
33.  Raggi C, Taddei ML, Rae C, Braconi C, Marra F. Metabolic reprogramming in cholangiocarcinoma. J Hepatol. 2022;77:849-864.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 10]  [Cited by in RCA: 121]  [Article Influence: 30.3]  [Reference Citation Analysis (0)]
34.  Branchi V, Hosni R, Kiwitz L, Ng S, van der Voort G, Bambi N, Kleinfelder E, Esser LK, Dold L, Langhans B, Gonzalez-Carmona MA, Ting S, Kristiansen G, Kalff JC, Thurley K, Hölzel M, Matthaei H, Toma MI. Expression of the large amino acid transporter SLC7A5/LAT1 on immune cells is enhanced in primary sclerosing cholangitis-associated cholangiocarcinoma and correlates with poor prognosis in cholangiocarcinoma. Hum Pathol. 2024;153:105670.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 4]  [Reference Citation Analysis (0)]
35.  Kaira K, Sunose Y, Ohshima Y, Ishioka NS, Arakawa K, Ogawa T, Sunaga N, Shimizu K, Tominaga H, Oriuchi N, Itoh H, Nagamori S, Kanai Y, Yamaguchi A, Segawa A, Ide M, Mori M, Oyama T, Takeyoshi I. Clinical significance of L-type amino acid transporter 1 expression as a prognostic marker and potential of new targeting therapy in biliary tract cancer. BMC Cancer. 2013;13:482.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 60]  [Cited by in RCA: 86]  [Article Influence: 6.6]  [Reference Citation Analysis (0)]
36.  Pavlova NN, Thompson CB. The Emerging Hallmarks of Cancer Metabolism. Cell Metab. 2016;23:27-47.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 3099]  [Cited by in RCA: 4326]  [Article Influence: 432.6]  [Reference Citation Analysis (0)]
37.  Pastore M, Lori G, Gentilini A, Taddei ML, Di Maira G, Campani C, Recalcati S, Invernizzi P, Marra F, Raggi C. Multifaceted Aspects of Metabolic Plasticity in Human Cholangiocarcinoma: An Overview of Current Perspectives. Cells. 2020;9:596.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 7]  [Cited by in RCA: 22]  [Article Influence: 3.7]  [Reference Citation Analysis (0)]
38.  Nan D, Yao W, Huang L, Liu R, Chen X, Xia W, Sheng H, Zhang H, Liang X, Lu Y. Glutamine and cancer: metabolism, immune microenvironment, and therapeutic targets. Cell Commun Signal. 2025;23:45.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 5]  [Cited by in RCA: 45]  [Article Influence: 45.0]  [Reference Citation Analysis (0)]
39.  Altman BJ, Stine ZE, Dang CV. From Krebs to clinic: glutamine metabolism to cancer therapy. Nat Rev Cancer. 2016;16:619-634.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1308]  [Cited by in RCA: 1439]  [Article Influence: 143.9]  [Reference Citation Analysis (0)]
40.  Yoo HC, Park SJ, Nam M, Kang J, Kim K, Yeo JH, Kim JK, Heo Y, Lee HS, Lee MY, Lee CW, Kang JS, Kim YH, Lee J, Choi J, Hwang GS, Bang S, Han JM. A Variant of SLC1A5 Is a Mitochondrial Glutamine Transporter for Metabolic Reprogramming in Cancer Cells. Cell Metab. 2020;31:267-283.e12.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 149]  [Cited by in RCA: 340]  [Article Influence: 56.7]  [Reference Citation Analysis (0)]
41.  Li B, Cao Y, Meng G, Qian L, Xu T, Yan C, Luo O, Wang S, Wei J, Ding Y, Yu D. Targeting glutaminase 1 attenuates stemness properties in hepatocellular carcinoma by increasing reactive oxygen species and suppressing Wnt/beta-catenin pathway. EBioMedicine. 2019;39:239-254.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 168]  [Cited by in RCA: 179]  [Article Influence: 25.6]  [Reference Citation Analysis (0)]
42.  Lukey MJ, Cluntun AA, Katt WP, Lin MJ, Druso JE, Ramachandran S, Erickson JW, Le HH, Wang ZE, Blank B, Greene KS, Cerione RA. Liver-Type Glutaminase GLS2 Is a Druggable Metabolic Node in Luminal-Subtype Breast Cancer. Cell Rep. 2019;29:76-88.e7.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 71]  [Cited by in RCA: 88]  [Article Influence: 12.6]  [Reference Citation Analysis (0)]
43.  Yang L, Venneti S, Nagrath D. Glutaminolysis: A Hallmark of Cancer Metabolism. Annu Rev Biomed Eng. 2017;19:163-194.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 720]  [Cited by in RCA: 663]  [Article Influence: 73.7]  [Reference Citation Analysis (0)]
44.  Yoo HC, Yu YC, Sung Y, Han JM. Glutamine reliance in cell metabolism. Exp Mol Med. 2020;52:1496-1516.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 452]  [Cited by in RCA: 735]  [Article Influence: 122.5]  [Reference Citation Analysis (0)]
45.  Stine ZE, Dang CV. Glutamine Skipping the Q into Mitochondria. Trends Mol Med. 2020;26:6-7.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 5]  [Cited by in RCA: 14]  [Article Influence: 2.0]  [Reference Citation Analysis (0)]
46.  Mullen AR, Hu Z, Shi X, Jiang L, Boroughs LK, Kovacs Z, Boriack R, Rakheja D, Sullivan LB, Linehan WM, Chandel NS, DeBerardinis RJ. Oxidation of alpha-ketoglutarate is required for reductive carboxylation in cancer cells with mitochondrial defects. Cell Rep. 2014;7:1679-1690.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 232]  [Cited by in RCA: 291]  [Article Influence: 24.3]  [Reference Citation Analysis (0)]
47.  Cao J, Zhang C, Jiang GQ, Jin SJ, Gao ZH, Wang Q, Yu DC, Ke AW, Fan YQ, Li DW, Wang AQ, Bai DS. Expression of GLS1 in intrahepatic cholangiocarcinoma and its clinical significance. Mol Med Rep. 2019;20:1915-1924.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 7]  [Cited by in RCA: 12]  [Article Influence: 1.7]  [Reference Citation Analysis (0)]
48.  Zhao Y, Hu X, Liu Y, Dong S, Wen Z, He W, Zhang S, Huang Q, Shi M. ROS signaling under metabolic stress: cross-talk between AMPK and AKT pathway. Mol Cancer. 2017;16:79.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 294]  [Cited by in RCA: 562]  [Article Influence: 62.4]  [Reference Citation Analysis (0)]
49.  Chen Z, Han F, Du Y, Shi H, Zhou W. Hypoxic microenvironment in cancer: molecular mechanisms and therapeutic interventions. Signal Transduct Target Ther. 2023;8:70.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 898]  [Reference Citation Analysis (0)]
50.  Yang SM, Kim J, Lee JY, Lee JS, Lee JM. Regulation of glucose and glutamine metabolism to overcome cisplatin resistance in intrahepatic cholangiocarcinoma. BMB Rep. 2023;56:600-605.  [PubMed]  [DOI]  [Full Text]
51.  Wappler J, Arts M, Röth A, Heeren RMA, Peter Neumann U, Olde Damink SW, Soons Z, Cramer T. Glutamine deprivation counteracts hypoxia-induced chemoresistance. Neoplasia. 2020;22:22-32.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 13]  [Cited by in RCA: 31]  [Article Influence: 4.4]  [Reference Citation Analysis (0)]
52.  Zhang Q, Zhou J, Zhai D, Jiang Q, Yang M, Zhou M. Gut microbiota regulates the ALK5/NOX1 axis by altering glutamine metabolism to inhibit ferroptosis of intrahepatic cholangiocarcinoma cells. Biochim Biophys Acta Mol Basis Dis. 2024;1870:167152.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 2]  [Cited by in RCA: 14]  [Article Influence: 7.0]  [Reference Citation Analysis (0)]
53.  Zhang M, Chen C, Zhang H, Long T, Wang T, Ding N, Long R, Wu H, Ma Z, Cheng Z, Tao J, Kuang D, Li L, Xu C. SIRT6 promotes intrahepatic cholangiocarcinoma development by reprogramming glutamine metabolism via enhanced GLUL. Gut. 2025;gutjnl-2025.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
54.  Harding JJ, Telli M, Munster P, Voss MH, Infante JR, DeMichele A, Dunphy M, Le MH, Molineaux C, Orford K, Parlati F, Whiting SH, Bennett MK, Tannir NM, Meric-Bernstam F. A Phase I Dose-Escalation and Expansion Study of Telaglenastat in Patients with Advanced or Metastatic Solid Tumors. Clin Cancer Res. 2021;27:4994-5003.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 11]  [Cited by in RCA: 72]  [Article Influence: 14.4]  [Reference Citation Analysis (0)]
55.  Chakrabarti G, Moore ZR, Luo X, Ilcheva M, Ali A, Padanad M, Zhou Y, Xie Y, Burma S, Scaglioni PP, Cantley LC, DeBerardinis RJ, Kimmelman AC, Lyssiotis CA, Boothman DA. Targeting glutamine metabolism sensitizes pancreatic cancer to PARP-driven metabolic catastrophe induced by ß-lapachone. Cancer Metab. 2015;3:12.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 88]  [Cited by in RCA: 107]  [Article Influence: 9.7]  [Reference Citation Analysis (0)]
56.  Hong C, Zheng J, Li X. Inhibition of GOT1 sensitizes colorectal cancer cells to 5-fluorouracil. Cancer Chemother Pharmacol. 2017;79:835-840.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 10]  [Cited by in RCA: 22]  [Article Influence: 2.4]  [Reference Citation Analysis (0)]
57.  Lee B, Mahmud I, Marchica J, Dereziński P, Qi F, Wang F, Joshi P, Valerio F, Rivera I, Patel V, Pavlovich CP, Garrett TJ, Schroth GP, Sun Y, Perera RJ. Integrated RNA and metabolite profiling of urine liquid biopsies for prostate cancer biomarker discovery. Sci Rep. 2020;10:3716.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 58]  [Cited by in RCA: 57]  [Article Influence: 9.5]  [Reference Citation Analysis (0)]
58.  Gong Y, Chen L, Wang H, Zheng D, Li F, Wu C, Li Y, Deng Y, He Z, Yu C. ANXA1 promotes intrahepatic cholangiocarcinoma proliferation and growth by regulating glutamine metabolism through GOT1 stabilization. J Exp Clin Cancer Res. 2025;44:151.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 4]  [Reference Citation Analysis (0)]
59.  Huang D, Alexander PB, Li QJ, Wang XF. GABAergic signaling beyond synapses: an emerging target for cancer therapy. Trends Cell Biol. 2023;33:403-412.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 16]  [Cited by in RCA: 50]  [Article Influence: 16.7]  [Reference Citation Analysis (0)]
60.  Hou D, Tang J, Feng Q, Niu Z, Shen Q, Wang L, Zhou S. Gamma-aminobutyric acid (GABA): a comprehensive review of dietary sources, enrichment technologies, processing effects, health benefits, and its applications. Crit Rev Food Sci Nutr. 2024;64:8852-8874.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 26]  [Cited by in RCA: 56]  [Article Influence: 18.7]  [Reference Citation Analysis (0)]
61.  Heli Z, Hongyu C, Dapeng B, Yee Shin T, Yejun Z, Xi Z, Yingying W. Recent advances of γ-aminobutyric acid: Physiological and immunity function, enrichment, and metabolic pathway. Front Nutr. 2022;9:1076223.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 40]  [Reference Citation Analysis (0)]
62.  Huang D, Wang Y, Thompson JW, Yin T, Alexander PB, Qin D, Mudgal P, Wu H, Liang Y, Tan L, Pan C, Yuan L, Wan Y, Li QJ, Wang XF. Cancer-cell-derived GABA promotes β-catenin-mediated tumour growth and immunosuppression. Nat Cell Biol. 2022;24:230-241.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 81]  [Cited by in RCA: 198]  [Article Influence: 49.5]  [Reference Citation Analysis (0)]
63.  Su Z, Liu G, Fang T, Zhang K, Yang S, Zhang H, Wang Y, Lv Z, Liu J. Expression and prognostic value of glutamate dehydrogenase in extrahepatic cholangiocarcinoma patients. Am J Transl Res. 2017;9:2106-2118.  [PubMed]  [DOI]
64.  Fava G, Marucci L, Glaser S, Francis H, De Morrow S, Benedetti A, Alvaro D, Venter J, Meininger C, Patel T, Taffetani S, Marzioni M, Summers R, Reichenbach R, Alpini G. gamma-Aminobutyric acid inhibits cholangiocarcinoma growth by cyclic AMP-dependent regulation of the protein kinase A/extracellular signal-regulated kinase 1/2 pathway. Cancer Res. 2005;65:11437-11446.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 81]  [Cited by in RCA: 81]  [Article Influence: 3.9]  [Reference Citation Analysis (0)]
65.  Huang Q, Liu C, Wang C, Hu Y, Qiu L, Xu P. Neurotransmitter γ-aminobutyric acid-mediated inhibition of the invasive ability of cholangiocarcinoma cells. Oncol Lett. 2011;2:519-523.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 6]  [Cited by in RCA: 9]  [Article Influence: 0.6]  [Reference Citation Analysis (0)]
66.  Saengboonmee C, Sorin S, Sangkhamanon S, Chomphoo S, Indramanee S, Seubwai W, Thithuan K, Chiu CF, Okada S, Gingras MC, Wongkham S. γ-aminobutyric acid B2 receptor: A potential therapeutic target for cholangiocarcinoma in patients with diabetes mellitus. World J Gastroenterol. 2023;29:4416-4432.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in CrossRef: 3]  [Cited by in RCA: 10]  [Article Influence: 3.3]  [Reference Citation Analysis (0)]
67.  Huang Q, Zhu CL, Liu CH, Xie F, Zhu K, Hu SY. Gamma-aminobutyric acid binds to GABAb receptor to inhibit cholangiocarcinoma cells growth via the JAK/STAT3 pathway. Dig Dis Sci. 2013;58:734-743.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 10]  [Cited by in RCA: 16]  [Article Influence: 1.2]  [Reference Citation Analysis (0)]
68.  Wise DR, Thompson CB. Glutamine addiction: a new therapeutic target in cancer. Trends Biochem Sci. 2010;35:427-433.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 1408]  [Cited by in RCA: 1395]  [Article Influence: 87.2]  [Reference Citation Analysis (0)]
69.  Lv H, Han X, Yang Y, Shen J, Yin Y, Liu Y. Glutamine: a new strategy for targeted metabolic therapy in the tumor microenvironment. Cell Death Discov. 2025;11:459.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
70.  Liu PS, Wang H, Li X, Chao T, Teav T, Christen S, Di Conza G, Cheng WC, Chou CH, Vavakova M, Muret C, Debackere K, Mazzone M, Huang HD, Fendt SM, Ivanisevic J, Ho PC. α-ketoglutarate orchestrates macrophage activation through metabolic and epigenetic reprogramming. Nat Immunol. 2017;18:985-994.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 444]  [Cited by in RCA: 982]  [Article Influence: 109.1]  [Reference Citation Analysis (0)]
71.  Palmieri EM, Menga A, Martín-Pérez R, Quinto A, Riera-Domingo C, De Tullio G, Hooper DC, Lamers WH, Ghesquière B, McVicar DW, Guarini A, Mazzone M, Castegna A. Pharmacologic or Genetic Targeting of Glutamine Synthetase Skews Macrophages toward an M1-like Phenotype and Inhibits Tumor Metastasis. Cell Rep. 2017;20:1654-1666.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 171]  [Cited by in RCA: 321]  [Article Influence: 40.1]  [Reference Citation Analysis (0)]
72.  Sinclair LV, Rolf J, Emslie E, Shi YB, Taylor PM, Cantrell DA. Control of amino-acid transport by antigen receptors coordinates the metabolic reprogramming essential for T cell differentiation. Nat Immunol. 2013;14:500-508.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 693]  [Cited by in RCA: 760]  [Article Influence: 58.5]  [Reference Citation Analysis (0)]
73.  Le A, Lane AN, Hamaker M, Bose S, Gouw A, Barbi J, Tsukamoto T, Rojas CJ, Slusher BS, Zhang H, Zimmerman LJ, Liebler DC, Slebos RJ, Lorkiewicz PK, Higashi RM, Fan TW, Dang CV. Glucose-independent glutamine metabolism via TCA cycling for proliferation and survival in B cells. Cell Metab. 2012;15:110-121.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 770]  [Cited by in RCA: 921]  [Article Influence: 65.8]  [Reference Citation Analysis (0)]
74.  Lauinger L, Kaiser P. Sensing and Signaling of Methionine Metabolism. Metabolites. 2021;11:83.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 18]  [Cited by in RCA: 99]  [Article Influence: 19.8]  [Reference Citation Analysis (0)]
75.  Petrossian TC, Clarke SG. Uncovering the human methyltransferasome. Mol Cell Proteomics. 2011;10:M110.000976.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 205]  [Cited by in RCA: 237]  [Article Influence: 15.8]  [Reference Citation Analysis (0)]
76.  Das AB, Seddon AR, O'Connor KM, Hampton MB. Regulation of the epigenetic landscape by immune cell oxidants. Free Radic Biol Med. 2021;170:131-149.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 6]  [Cited by in RCA: 14]  [Article Influence: 2.8]  [Reference Citation Analysis (0)]
77.  Yang H, Liu T, Wang J, Li TW, Fan W, Peng H, Krishnan A, Gores GJ, Mato JM, Lu SC. Deregulated methionine adenosyltransferase α1, c-Myc, and Maf proteins together promote cholangiocarcinoma growth in mice and humans(‡). Hepatology. 2016;64:439-455.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 35]  [Cited by in RCA: 48]  [Article Influence: 4.8]  [Reference Citation Analysis (1)]
78.  Boulter L, Guest RV, Kendall TJ, Wilson DH, Wojtacha D, Robson AJ, Ridgway RA, Samuel K, Van Rooijen N, Barry ST, Wigmore SJ, Sansom OJ, Forbes SJ. WNT signaling drives cholangiocarcinoma growth and can be pharmacologically inhibited. J Clin Invest. 2015;125:1269-1285.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 193]  [Cited by in RCA: 224]  [Article Influence: 20.4]  [Reference Citation Analysis (1)]
79.  He XS, Ansari AA, Ridgway WM, Coppel RL, Gershwin ME. New insights to the immunopathology and autoimmune responses in primary biliary cirrhosis. Cell Immunol. 2006;239:1-13.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 52]  [Cited by in RCA: 50]  [Article Influence: 2.5]  [Reference Citation Analysis (0)]
80.  Welzel TM, Graubard BI, El-Serag HB, Shaib YH, Hsing AW, Davila JA, McGlynn KA. Risk factors for intrahepatic and extrahepatic cholangiocarcinoma in the United States: a population-based case-control study. Clin Gastroenterol Hepatol. 2007;5:1221-1228.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 399]  [Cited by in RCA: 391]  [Article Influence: 20.6]  [Reference Citation Analysis (0)]
81.  Kilanczyk E, Banales JM, Wunsch E, Barbier O, Avila MA, Mato JM, Milkiewicz M, Milkiewicz P. S-adenosyl-L-methionine (SAMe) halts the autoimmune response in patients with primary biliary cholangitis (PBC) via antioxidant and S-glutathionylation processes in cholangiocytes. Biochim Biophys Acta Mol Basis Dis. 2020;1866:165895.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 7]  [Cited by in RCA: 19]  [Article Influence: 3.2]  [Reference Citation Analysis (0)]
82.  Pirkov I, Norbeck J, Gustafsson L, Albers E. A complete inventory of all enzymes in the eukaryotic methionine salvage pathway. FEBS J. 2008;275:4111-4120.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 73]  [Cited by in RCA: 64]  [Article Influence: 3.6]  [Reference Citation Analysis (0)]
83.  Mavrakis KJ, McDonald ER 3rd, Schlabach MR, Billy E, Hoffman GR, deWeck A, Ruddy DA, Venkatesan K, Yu J, McAllister G, Stump M, deBeaumont R, Ho S, Yue Y, Liu Y, Yan-Neale Y, Yang G, Lin F, Yin H, Gao H, Kipp DR, Zhao S, McNamara JT, Sprague ER, Zheng B, Lin Y, Cho YS, Gu J, Crawford K, Ciccone D, Vitari AC, Lai A, Capka V, Hurov K, Porter JA, Tallarico J, Mickanin C, Lees E, Pagliarini R, Keen N, Schmelzle T, Hofmann F, Stegmeier F, Sellers WR. Disordered methionine metabolism in MTAP/CDKN2A-deleted cancers leads to dependence on PRMT5. Science. 2016;351:1208-1213.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 266]  [Cited by in RCA: 437]  [Article Influence: 43.7]  [Reference Citation Analysis (0)]
84.  Elurbide J, Colyn L, Latasa MU, Uriarte I, Mariani S, Lopez-Pascual A, Valbuena E, Castello-Uribe B, Arnes-Benito R, Adan-Villaescusa E, Martinez-Perez LA, Azkargorta M, Elortza F, Wu H, Krawczyk M, Schneider KM, Sangro B, Aldrighetti L, Ratti F, Casadei Gardini A, Marin JJG, Amat I, Urman JM, Arechederra M, Martinez-Chantar ML, Trautwein C, Huch M, Cubero FJ, Berasain C, G Fernandez-Barrena M, Avila MA. Identification of PRMT5 as a therapeutic target in cholangiocarcinoma. Gut. 2024;74:116-127.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 4]  [Cited by in RCA: 17]  [Article Influence: 8.5]  [Reference Citation Analysis (0)]
85.  Neavin DR, Liu D, Ray B, Weinshilboum RM. The Role of the Aryl Hydrocarbon Receptor (AHR) in Immune and Inflammatory Diseases. Int J Mol Sci. 2018;19:3851.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 95]  [Cited by in RCA: 231]  [Article Influence: 28.9]  [Reference Citation Analysis (2)]
86.  Yan J, Chen D, Ye Z, Zhu X, Li X, Jiao H, Duan M, Zhang C, Cheng J, Xu L, Li H, Yan D. Molecular mechanisms and therapeutic significance of Tryptophan Metabolism and signaling in cancer. Mol Cancer. 2024;23:241.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 94]  [Reference Citation Analysis (0)]
87.  Török N, Tanaka M, Vécsei L. Searching for Peripheral Biomarkers in Neurodegenerative Diseases: The Tryptophan-Kynurenine Metabolic Pathway. Int J Mol Sci. 2020;21:9338.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 77]  [Cited by in RCA: 101]  [Article Influence: 16.8]  [Reference Citation Analysis (0)]
88.  Krupa A, Kowalska I. The Kynurenine Pathway-New Linkage between Innate and Adaptive Immunity in Autoimmune Endocrinopathies. Int J Mol Sci. 2021;22:9879.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 42]  [Cited by in RCA: 71]  [Article Influence: 14.2]  [Reference Citation Analysis (0)]
89.  Passarelli A, Pisano C, Cecere SC, Di Napoli M, Rossetti S, Tambaro R, Ventriglia J, Gherardi F, Iannacone E, Venanzio SS, Fiore F, Bartoletti M, Scognamiglio G, Califano D, Pignata S. Targeting immunometabolism mediated by the IDO1 Pathway: A new mechanism of immune resistance in endometrial cancer. Front Immunol. 2022;13:953115.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 22]  [Reference Citation Analysis (0)]
90.  Uyttenhove C, Pilotte L, Théate I, Stroobant V, Colau D, Parmentier N, Boon T, Van den Eynde BJ. Evidence for a tumoral immune resistance mechanism based on tryptophan degradation by indoleamine 2,3-dioxygenase. Nat Med. 2003;9:1269-1274.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1642]  [Cited by in RCA: 1778]  [Article Influence: 77.3]  [Reference Citation Analysis (0)]
91.  Cao L, Prithviraj P, Shrestha R, Sharma R, Anaka M, Bridle KR, Kannourakis G, Crawford DHG, Jayachandran A. Prognostic Role of Immune Checkpoint Regulators in Cholangiocarcinoma: A Pilot Study. J Clin Med. 2021;10:2191.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 4]  [Cited by in RCA: 16]  [Article Influence: 3.2]  [Reference Citation Analysis (0)]
92.  Noh BJ, Choi GM, Jang HJ, Ma CH, Oh HS, Kim M, Eom DW. Prognostic implications of immune classification using IDO1 expression in extrahepatic bile duct carcinoma. Oncol Lett. 2022;24:373.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
93.  Alpini G, Invernizzi P, Gaudio E, Venter J, Kopriva S, Bernuzzi F, Onori P, Franchitto A, Coufal M, Frampton G, Alvaro D, Lee SP, Marzioni M, Benedetti A, DeMorrow S. Serotonin metabolism is dysregulated in cholangiocarcinoma, which has implications for tumor growth. Cancer Res. 2008;68:9184-9193.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 90]  [Cited by in RCA: 95]  [Article Influence: 5.3]  [Reference Citation Analysis (0)]
94.  Saavedra C, Barriuso J, McNamara MG, Valle JW, Lamarca A. Spotlight on telotristat ethyl for the treatment of carcinoid syndrome diarrhea: patient selection and reported outcomes. Cancer Manag Res. 2019;11:7537-7556.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 3]  [Cited by in RCA: 5]  [Article Influence: 0.7]  [Reference Citation Analysis (0)]
95.  Kim RD, Joseph-Ridge N, Du J, North J, Warren C, Iyer RV. A phase 2, open-label, safety and efficacy study of telotristat ethyl plus first-line chemotherapy in patients with advanced biliary tract cancer. J Clin Oncol. 2024;42:472-472.  [PubMed]  [DOI]  [Full Text]
96.  Pinsonneault JK, Papp AC, Sadée W. Allelic mRNA expression of X-linked monoamine oxidase a (MAOA) in human brain: dissection of epigenetic and genetic factors. Hum Mol Genet. 2006;15:2636-2649.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 82]  [Cited by in RCA: 86]  [Article Influence: 4.3]  [Reference Citation Analysis (0)]
97.  Huang L, Frampton G, Rao A, Zhang KS, Chen W, Lai JM, Yin XY, Walker K, Culbreath B, Leyva-Illades D, Quinn M, McMillin M, Bradley M, Liang LJ, DeMorrow S. Monoamine oxidase A expression is suppressed in human cholangiocarcinoma via coordinated epigenetic and IL-6-driven events. Lab Invest. 2012;92:1451-1460.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 41]  [Cited by in RCA: 56]  [Article Influence: 4.0]  [Reference Citation Analysis (0)]
98.  Zhu QS, Chen K, Shih JC. Bidirectional promoter of human monoamine oxidase A (MAO A) controlled by transcription factor Sp1. J Neurosci. 1994;14:7393-7403.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 48]  [Cited by in RCA: 43]  [Article Influence: 1.4]  [Reference Citation Analysis (0)]
99.  Chen K, Ou XM, Chen G, Choi SH, Shih JC. R1, a novel repressor of the human monoamine oxidase A. J Biol Chem. 2005;280:11552-11559.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 55]  [Cited by in RCA: 55]  [Article Influence: 2.6]  [Reference Citation Analysis (0)]
100.  Liu Y, Pei Z, Pan T, Wang H, Chen W, Lu W. Indole metabolites and colorectal cancer: Gut microbial tryptophan metabolism, host gut microbiome biomarkers, and potential intervention mechanisms. Microbiol Res. 2023;272:127392.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 41]  [Reference Citation Analysis (0)]
101.  Ye X, Li H, Anjum K, Zhong X, Miao S, Zheng G, Liu W, Li L. Dual Role of Indoles Derived From Intestinal Microbiota on Human Health. Front Immunol. 2022;13:903526.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 3]  [Cited by in RCA: 156]  [Article Influence: 39.0]  [Reference Citation Analysis (0)]
102.  Lin J, Sun-Waterhouse D, Cui C. The therapeutic potential of diet on immune-related diseases: based on the regulation on tryptophan metabolism. Crit Rev Food Sci Nutr. 2022;62:8793-8811.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 4]  [Cited by in RCA: 26]  [Article Influence: 5.2]  [Reference Citation Analysis (0)]
103.  Lee JY, Lim HM, Lee CM, Park SH, Nam MJ. Indole-3-carbinol inhibits the proliferation of colorectal carcinoma LoVo cells through activation of the apoptotic signaling pathway. Hum Exp Toxicol. 2021;40:2099-2112.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 1]  [Cited by in RCA: 12]  [Article Influence: 2.4]  [Reference Citation Analysis (0)]
104.  Sugimura N, Li Q, Chu ESH, Lau HCH, Fong W, Liu W, Liang C, Nakatsu G, Su ACY, Coker OO, Wu WKK, Chan FKL, Yu J. Lactobacillus gallinarum modulates the gut microbiota and produces anti-cancer metabolites to protect against colorectal tumourigenesis. Gut. 2021;71:2011-2021.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 84]  [Cited by in RCA: 204]  [Article Influence: 40.8]  [Reference Citation Analysis (0)]
105.  Asghar K, Brain J, Palmer JM, Douglass S, Naemi FMA, O'Boyle G, Kirby J, Ali S. Potential role of indoleamine 2,3-dioxygenase in primary biliary cirrhosis. Oncol Lett. 2017;14:5497-5504.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 4]  [Cited by in RCA: 8]  [Article Influence: 0.9]  [Reference Citation Analysis (0)]
106.  Zhou Q, Shi Y, Chen C, Wu F, Chen Z. A narrative review of the roles of indoleamine 2,3-dioxygenase and tryptophan-2,3-dioxygenase in liver diseases. Ann Transl Med. 2021;9:174.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 6]  [Cited by in RCA: 30]  [Article Influence: 6.0]  [Reference Citation Analysis (0)]
107.  Li X, Zhang B, Hu Y, Zhao Y. New Insights Into Gut-Bacteria-Derived Indole and Its Derivatives in Intestinal and Liver Diseases. Front Pharmacol. 2021;12:769501.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 51]  [Cited by in RCA: 140]  [Article Influence: 28.0]  [Reference Citation Analysis (0)]
108.  Wang L, Zhao H, Wu F, Chen J, Xu H, Gong W, Wen S, Yang M, Xia J, Chen Y, Chen D. Bile-Liver phenotype: Exploring the microbiota landscape in bile and intratumor of cholangiocarcinoma. Comput Struct Biotechnol J. 2025;27:1173-1186.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 4]  [Reference Citation Analysis (0)]
109.  Ito Z, Koido S, Kato K, Odamaki T, Horiuchi S, Akasu T, Saruta M, Hata T, Kumagai Y, Fujioka S, Misawa T, Xiao JZ, Sato N, Ohkusa T. Dysbiosis of the Fecal and Biliary Microbiota in Biliary Tract Cancer. Cancers (Basel). 2022;14:5379.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 4]  [Cited by in RCA: 19]  [Article Influence: 4.8]  [Reference Citation Analysis (0)]
110.  Mizutani H, Fukui S, Oosuka K, Ikeda K, Kobayashi M, Shimada Y, Nakazawa Y, Nishiura Y, Suga D, Moritani I, Yamanaka Y, Inoue H, Nakagawa H, Dohi K, Kaiju H, Takaba K, Wada H, Shiraki K. Biliary microbiome profiling via 16 S rRNA amplicon sequencing in patients with cholangiocarcinoma, pancreatic carcinoma and choledocholithiasis. Sci Rep. 2025;15:16966.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 6]  [Reference Citation Analysis (0)]
111.  Choi BH, Hyun S, Koo SH. The role of BCAA metabolism in metabolic health and disease. Exp Mol Med. 2024;56:1552-1559.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 58]  [Reference Citation Analysis (0)]
112.  Zhang X, Xia M, Wu Y, Zhang F. Branched-Chain Amino Acids Metabolism and Their Roles in Retinopathy: From Relevance to Mechanism. Nutrients. 2023;15:2161.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 17]  [Reference Citation Analysis (0)]
113.  Dimou A, Tsimihodimos V, Bairaktari E. The Critical Role of the Branched Chain Amino Acids (BCAAs) Catabolism-Regulating Enzymes, Branched-Chain Aminotransferase (BCAT) and Branched-Chain α-Keto Acid Dehydrogenase (BCKD), in Human Pathophysiology. Int J Mol Sci. 2022;23:4022.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 4]  [Cited by in RCA: 149]  [Article Influence: 37.3]  [Reference Citation Analysis (0)]
114.  Cao Q, Fan J, Zou J, Wang W. Multi-omics analysis identifies BCAT2 as a potential pan-cancer biomarker for tumor progression and immune microenvironment modulation. Sci Rep. 2024;14:23371.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 5]  [Reference Citation Analysis (0)]
115.  Cai Z, Chen J, Yu Z, Li H, Liu Z, Deng D, Liu J, Chen C, Zhang C, Ou Z, Chen M, Hu J, Zu X. BCAT2 Shapes a Noninflamed Tumor Microenvironment and Induces Resistance to Anti-PD-1/PD-L1 Immunotherapy by Negatively Regulating Proinflammatory Chemokines and Anticancer Immunity. Adv Sci (Weinh). 2023;10:e2207155.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 40]  [Cited by in RCA: 52]  [Article Influence: 17.3]  [Reference Citation Analysis (0)]
116.  Xiong H, Liu R, Xu K, Chen X, Huang L, Shou Y, Huang Y, Sheng H, Lu Y, Zhang H. Branched-chain amino acid and cancer: metabolism, immune microenvironment and therapeutic targets. J Transl Med. 2025;23:636.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 6]  [Cited by in RCA: 8]  [Article Influence: 8.0]  [Reference Citation Analysis (0)]
117.  Wang L, Shi F, Cao Y, Xie L. Multiple roles of branched-chain amino acid metabolism in tumour progression. J Biomed Sci. 2025;32:41.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 6]  [Reference Citation Analysis (0)]
118.  Li Z, Guan Y, Gao J, Zhu L, Zeng Z, Jing Q, Wan Q, Fan Q, Ren X, Pei H, Zhang D, Rong Y, Rong Z, He J, Zhang Y, Li N, Chen P, Sun L, Xu B, Nie Y, Deng Y. PPDPF-mediated regulation of BCAA metabolism enhances mTORC1 activity and drives cholangiocarcinoma progression. Oncogene. 2025;44:1415-1433.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 4]  [Reference Citation Analysis (0)]
119.  Shou Y, Liu R, Xiong H, Xu K, Chen X, Huang L, Zhang Y, Sheng H, Zhang H, Lu Y. Urea cycle dysregulation: a new frontier in cancer metabolism and immune evasion. Cell Commun Signal. 2025;23:307.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 7]  [Reference Citation Analysis (0)]
120.  Ghosh N, Mahalanobish S, Sil PC. Reprogramming of urea cycle in cancer: Mechanism, regulation and prospective therapeutic scopes. Biochem Pharmacol. 2024;228:116326.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 4]  [Cited by in RCA: 16]  [Article Influence: 8.0]  [Reference Citation Analysis (0)]
121.  Hajaj E, Sciacovelli M, Frezza C, Erez A. The context-specific roles of urea cycle enzymes in tumorigenesis. Mol Cell. 2021;81:3749-3759.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 6]  [Cited by in RCA: 69]  [Article Influence: 13.8]  [Reference Citation Analysis (0)]
122.  Ong KH, Hsieh YY, Sun DP, Huang SK, Tian YF, Chou CL, Shiue YL, Joseph K, Chang IW. Underexpression of Carbamoyl Phosphate Synthetase I as Independent Unfavorable Prognostic Factor in Intrahepatic Cholangiocarcinoma: A Potential Theranostic Biomarker. Diagnostics (Basel). 2023;13:2296.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
123.  Ma SL, Li AJ, Hu ZY, Shang FS, Wu MC. Coexpression of the carbamoylphosphate synthase 1 gene and its long noncoding RNA correlates with poor prognosis of patients with intrahepatic cholangiocarcinoma. Mol Med Rep. 2015;12:7915-7926.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 34]  [Cited by in RCA: 48]  [Article Influence: 4.4]  [Reference Citation Analysis (0)]
124.  Roeksomtawin S, Navasumrit P, Waraprasit S, Parnlob V, Sricharunrat T, Bhudhisawasdi V, Savaraj N, Ruchirawat M. Decreased argininosuccinate synthetase expression in Thai patients with cholangiocarcinoma and the effects of ADI-PEG20 treatment in CCA cell lines. Oncol Lett. 2018;16:1529-1538.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 4]  [Cited by in RCA: 8]  [Article Influence: 1.0]  [Reference Citation Analysis (0)]
125.  Yao S, Janku F, Subbiah V, Stewart J, Patel SP, Kaseb A, Westin SN, Naing A, Tsimberidou AM, Hong D, Piha-Paul SA, Shi N, Johnston A, Bomalaski J, Fu S. Phase 1 trial of ADI-PEG20 plus cisplatin in patients with pretreated metastatic melanoma or other advanced solid malignancies. Br J Cancer. 2021;124:1533-1539.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 11]  [Cited by in RCA: 30]  [Article Influence: 6.0]  [Reference Citation Analysis (0)]
126.  Chang KY, Chiang NJ, Wu SY, Yen CJ, Chen SH, Yeh YM, Li CF, Feng X, Wu K, Johnston A, Bomalaski JS, Wu BW, Gao J, Subudhi SK, Kaseb AO, Blando JM, Yadav SS, Szlosarek PW, Chen LT. Phase 1b study of pegylated arginine deiminase (ADI-PEG 20) plus Pembrolizumab in advanced solid cancers. Oncoimmunology. 2021;10:1943253.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 28]  [Cited by in RCA: 34]  [Article Influence: 6.8]  [Reference Citation Analysis (0)]
127.  Glazer ES, Piccirillo M, Albino V, Di Giacomo R, Palaia R, Mastro AA, Beneduce G, Castello G, De Rosa V, Petrillo A, Ascierto PA, Curley SA, Izzo F. Phase II study of pegylated arginine deiminase for nonresectable and metastatic hepatocellular carcinoma. J Clin Oncol. 2010;28:2220-2226.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 150]  [Cited by in RCA: 146]  [Article Influence: 9.1]  [Reference Citation Analysis (0)]
128.  Abou-Alfa GK, Qin S, Ryoo BY, Lu SN, Yen CJ, Feng YH, Lim HY, Izzo F, Colombo M, Sarker D, Bolondi L, Vaccaro G, Harris WP, Chen Z, Hubner RA, Meyer T, Sun W, Harding JJ, Hollywood EM, Ma J, Wan PJ, Ly M, Bomalaski J, Johnston A, Lin CC, Chao Y, Chen LT. Phase III randomized study of second line ADI-PEG 20 plus best supportive care versus placebo plus best supportive care in patients with advanced hepatocellular carcinoma. Ann Oncol. 2018;29:1402-1408.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 122]  [Cited by in RCA: 166]  [Article Influence: 23.7]  [Reference Citation Analysis (0)]
129.  Yang TS, Lu SN, Chao Y, Sheen IS, Lin CC, Wang TE, Chen SC, Wang JH, Liao LY, Thomson JA, Wang-Peng J, Chen PJ, Chen LT. A randomised phase II study of pegylated arginine deiminase (ADI-PEG 20) in Asian advanced hepatocellular carcinoma patients. Br J Cancer. 2010;103:954-960.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 124]  [Cited by in RCA: 134]  [Article Influence: 8.4]  [Reference Citation Analysis (0)]
130.  Qiang Z, Zhang H, Jin S, Yan C, Li Z, Tao L, Yu H. The prognostic value of arginase-1 and glypican-3 expression levels in patients after surgical intrahepatic cholangiocarcinoma resection. World J Surg Oncol. 2021;19:316.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 1]  [Cited by in RCA: 12]  [Article Influence: 2.4]  [Reference Citation Analysis (0)]
131.  Lemberg KM, Vornov JJ, Rais R, Slusher BS. We're Not "DON" Yet: Optimal Dosing and Prodrug Delivery of 6-Diazo-5-oxo-L-norleucine. Mol Cancer Ther. 2018;17:1824-1832.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 81]  [Cited by in RCA: 186]  [Article Influence: 26.6]  [Reference Citation Analysis (0)]
132.  Novotná K, Tenora L, Slusher BS, Rais R. Therapeutic resurgence of 6-diazo-5-oxo-l-norleucine (DON) through tissue-targeted prodrugs. Adv Pharmacol. 2024;100:157-180.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 7]  [Cited by in RCA: 8]  [Article Influence: 4.0]  [Reference Citation Analysis (0)]
133.  Zimmermann SC, Wolf EF, Luu A, Thomas AG, Stathis M, Poore B, Nguyen C, Le A, Rojas C, Slusher BS, Tsukamoto T. Allosteric Glutaminase Inhibitors Based on a 1,4-Di(5-amino-1,3,4-thiadiazol-2-yl)butane Scaffold. ACS Med Chem Lett. 2016;7:520-524.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 38]  [Cited by in RCA: 55]  [Article Influence: 5.5]  [Reference Citation Analysis (0)]
134.  Elgogary A, Xu Q, Poore B, Alt J, Zimmermann SC, Zhao L, Fu J, Chen B, Xia S, Liu Y, Neisser M, Nguyen C, Lee R, Park JK, Reyes J, Hartung T, Rojas C, Rais R, Tsukamoto T, Semenza GL, Hanes J, Slusher BS, Le A. Combination therapy with BPTES nanoparticles and metformin targets the metabolic heterogeneity of pancreatic cancer. Proc Natl Acad Sci U S A. 2016;113:E5328-E5336.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 127]  [Cited by in RCA: 196]  [Article Influence: 19.6]  [Reference Citation Analysis (0)]
135.  Zheng Q, Zou T, Wang W, Zhang C, Hu S, Cheng X, Liu R, Wang G, Sun P, Zhou X, Yang B, Xu J, Gao Y, Gu J. Necroptosis-Mediated Synergistic Photodynamic and Glutamine-Metabolic Therapy Enabled by a Biomimetic Targeting Nanosystem for Cholangiocarcinoma. Adv Sci (Weinh). 2024;11:e2309203.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 9]  [Cited by in RCA: 10]  [Article Influence: 5.0]  [Reference Citation Analysis (0)]
136.  Wang Q, Long T, Tang P, Xu C, Wang L, Liu J. Metabolic reprogramming in cholangiocarcinoma cancer stem cells: Emerging therapeutic paradigms. Cancer Lett. 2025;622:217714.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 5]  [Reference Citation Analysis (0)]
137.  Do LK, Lee HM, Ha YS, Lee CH, Kim J. Amino acids in cancer: Understanding metabolic plasticity and divergence for better therapeutic approaches. Cell Rep. 2025;44:115529.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 13]  [Reference Citation Analysis (0)]
138.  Pathria G, Ronai ZA. Harnessing the Co-vulnerabilities of Amino Acid-Restricted Cancers. Cell Metab. 2021;33:9-20.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 11]  [Cited by in RCA: 32]  [Article Influence: 6.4]  [Reference Citation Analysis (0)]
139.  Jinawath N, Chamgramol Y, Furukawa Y, Obama K, Tsunoda T, Sripa B, Pairojkul C, Nakamura Y. Comparison of gene expression profiles between Opisthorchis viverrini and non-Opisthorchis viverrini associated human intrahepatic cholangiocarcinoma. Hepatology. 2006;44:1025-1038.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 91]  [Cited by in RCA: 102]  [Article Influence: 5.1]  [Reference Citation Analysis (0)]
140.  Alsaleh M, Sithithaworn P, Khuntikeo N, Loilome W, Yongvanit P, Hughes T, O'Connor T, Andrews RH, Wadsworth CA, Williams R, Koomson L, Cox IJ, Holmes E, Taylor-Robinson SD. Urinary Metabolic Profiling of Liver Fluke-Induced Cholangiocarcinoma-A Follow-Up Study. J Clin Exp Hepatol. 2023;13:203-217.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
Footnotes

Peer review: Externally peer reviewed.

Peer-review model: Single blind

Corresponding Author's Membership in Professional Societies: The Medical Council of Thailand, No. 62243; The Medical Association of Thailand, No. 28796; and Science Society of Thailand under the Patronage of HM the King, No. 3891.

Specialty type: Gastroenterology and hepatology

Country of origin: Thailand

Peer-review report’s classification

Scientific quality: Grade A, Grade C

Novelty: Grade A, Grade C

Creativity or innovation: Grade B, Grade C

Scientific significance: Grade B, Grade B

P-Reviewer: Zan LK, MD, PhD, Chief Physician, Professor, China; Zheng BH, MD, PhD, China S-Editor: Li L L-Editor: A P-Editor: Wang WB