Colorectal cancer (CRC) is a highly prevalent cancer worldwide, but treatment outcomes can vary significantly among patients with similar clinical or historical stages. This study aimed to investigate the differences in immune cell abundance associated with malignant progression in CRC patients. We utilized data from patients with CRC obtained from The Cancer Genome Atlas as our training set. To assess immune cell infiltration levels, an immune cell risk score (ICRS) was calculated. Furthermore, we performed network analysis to identify effective T cell-related genes (ETRGs) and subsequently constructed an effective T cell prognostic index (ETPI). The performance of the ETPI was evaluated through external validation using four Gene Expression Omnibus datasets. Additionally, a nomogram analysis and drug sensitivity analysis were conducted to explore the clinical utility of the ETRGs. We also examined the expression of ETRGs in clinical samples. Based on the ICRS, we identified activated CD4+ and CD8+ T cells as protective factors in terms of prognosis. Six ETRGs were identified to develop the ETPI, which exhibited remarkable prognostic performance. In the external validation of immunotherapy, the low ETPI group demonstrated a significantly lower recurrence rate. To optimize therapeutic strategies, we developed a nomogram. Notably, patients with different ETPI values exhibited varying responses to tumor pathway inhibitors. Finally, we observed higher protein expression of certain ETRGs in normal tissues compared to tumors. Our findings suggest that the ETPI may contribute to the precise selection of patients based on tumor microenvironment and key genomic landscape interactions, thereby optimizing drug benefits and informing clinical strategies in future.

BRAF mutated colorectal cancer (CRC) often demonstrates distinct molecular profiles characterized by a high methylator phenotype with two different microsatellite statuses (MSI and MSS) and corresponding methylation spectra. Prognostic disparities between these two different BRAF mutated CRC arise from divergent carcinogenic pathways, with BRAF-mutated MSS CRC exhibiting particularly unfavorable clinical outcomes. The underlying mechanism of these phenomena stems from epigenetic heterogeneity in methylation landscapes. Emerging evidences linking cholelithiasis and deoxycholic acid (DCA) to BRAF-mutated CRC pathogenesis warrant systematic investigation into their potential mechanistic relationships. Elucidating these connections could unravel novel pathogenetic pathways and inform targeted strategies for risk mitigation, molecular diagnostics, and therapeutic intervention of BRAF-mutated CRC.

Colorectal cancer (CRC) is a multifaceted disease influenced by genetic mutations and environmental factors, especially oxidative stress. Driver mutations are pivotal in CRC initiation and progression and alter key signaling pathways involved in cell proliferation, apoptosis, and genomic stability. Concurrently, oxidative stress, characterized by an imbalance between reactive oxygen species (ROS) production and antioxidant defenses, plays a crucial role in CRC development by promoting DNA damage, lipid peroxidation, and redox signaling dysregulation. The molecular mechanisms linking driver mutations and oxidative stress pathways underscore their collective or antagonistic impact on CRC heterogeneity, therapeutic responses, and clinical outcomes. Insights into mutation-specific vulnerabilities and redox modulation offer promising avenues for targeted therapies and personalized medicine approaches in CRC treatment. Here, we discuss the intricate interplay between driver mutations and oxidative stress, highlight emerging trends, and propose future research directions to advance our understanding of CRC pathogenesis and optimize therapeutic interventions.

Colorectal cancer is the third most common cancer in terms of incidence rate in adults and the second most common cause of cancer-related death in Europe. Despite an increase in overall survival throughout the years, the prognosis of metastatic colorectal cancer remains poor. Until recently, its treatment was based on the use of standard chemotherapy combined with, anti-epidermal growth factor receptor (for RAS wild-type tumors) or anti-vascular endothelial growth factor, or immunotherapy for tumors with mismatch repair deficiency. Over the last years, precision medicine has become a challenge in oncology and there has been an increasing development of biomarker-driven therapies for metastatic colorectal cancer leading to better outcomes for specific molecular subgroups of patients. Human epidermal growth factor receptor 2 (HER2) amplification/overexpression has been identified in about 6 % of patients with RAS wild-type metastatic CRC and established as an important and drugable biomarker. Its prognostic and predictive implications are still debated but HER2 becoming a therapeutic target with promising results of anti-HER2 therapies for HER2-positive metastatic CRC. Multiple HER2-targeted regimens are now part of National Comprehensive Cancer Network and European Society for Medical Oncology guidelines with two recent Food and Drug Administration approvals for previously treated HER2-positive metastatic colorectal cancer for tucatinib (in combination with trastuzumab) and for trastuzumab-deruxtecan in patients with previously treated HER2-positive metastatic colorectal cancer. This review explores the prognostic and predictive value of HER2 as a biomarker in CRC, describing its molecular structure, the clinical characteristics of patients with HER2 alterations, diagnostic approaches and the most relevant clinical trials assessing its current and future role as a therapeutic target in metastatic colorectal cancer.

Metastatic colorectal cancer (mCRC) remains a major cause of cancer-related mortality worldwide and requires the development of new biomarkers to improve patient management. Traditional markers, such as RAS mutations and microsatellite instability (MSI), have revolutionized therapeutic decisions, but emerging evidence underlines the importance of integrating multi-omics sciences for a deeper understanding of tumor biology and therapeutic resistance. Although these omics technologies hold great promise for the advancement of precision oncology, significant challenges remain. However, the integration of multi-omics data is opening the way to more accurate diagnostics, personalized therapies, and improved outcomes for mCRC patients. This review provides an in-depth description of the various omics sciences and explores their advantages and critical issues.

Metastatic colorectal cancer (mCRC) patients in trials are selected. The aim was to study mCRC features population-based.

All 765 mCRC patients in the Uppsala region, Sweden, 2010-2020 were identified and analysed for RAS (n = 356/708) and BRAF-V600E (n = 123/708) mutations (mt) and deficient mismatch repair (dMMR, n = 58/643).

Right colon primary tumours were associated with BRAF-V600Emt and dMMR and had worse median overall survival (mOS) than left colon or rectal mCRC. RAS&BRAF wildtype (wt) and proficient MMR were seen in 22%, 45%, and 31% of right colon, left colon, and rectum, respectively. Patients with right colon primaries received best supportive care only more often (34% vs 25% vs 24%) and metastasectomy less often (21% vs 31% vs 33%) than left colon and rectal primaries. In molecularly homogeneous subgroups (RAS&BRAFwt/RASmt/BRAF-V600Emt/dMMR) no difference in mOS were seen between right and left colon primaries, whereas rectal primaries had better mOS (26/15/8/9 vs 24/21/8/8 vs 32/23/6/NA months, respectively). This was also the case in homogenous treatment groups. Primary tumour location turned non-significant in multivariable OS analyses.

The high variation of BRAF-V600Emt, RASmt, dMMR, and treatment allocation population-based per primary tumour location explain the poor outcome in right-sided cancers.

Colorectal cancer (CRC) is linked to the WNT/β-catenin signaling as its primary driver. Aberrant activation of WNT/β-catenin signaling is closely correlated with increased incidence, malignancy, poorer prognosis, and even higher cancer-related death. Research over the years has postulated various experimental models that have facilitated an understanding of the complex mechanisms underlying WNT signaling in CRC. In the present review, we have comprehensively summarized the in vitro, in vivo, patient-derived, and computational models used to study the role of WNT signaling in CRC. We discuss the use of CRC cell lines and organoids in capturing the molecular intricacies of WNT signaling and implementing xenograft and genetically engineered mouse models to mimic the tumor microenvironment. Patient-derived models, including xenografts and organoids, provide valuable insights into personalized medicine approaches. Additionally, we elaborated on the role of computational models in simulating WNT signaling dynamics and predicting therapeutic outcomes. By evaluating the advantages and limitations of each model, this review highlights the critical contributions of these systems to our understanding of WNT signaling in CRC. We emphasize the need to integrate diverse model systems to enhance translational research and clinical applications, which is the primary goal of this review.

Admixed populations, including the Hispanic/Latino/a community, are underrepresented in cancer genetic/genomic studies. Leveraging the Latino Colorectal Cancer Consortium (LC3) and other existing datasets, we analyzed whole-exome sequencing data on tumor/normal pairs from 718 individuals with colorectal cancer to map somatic mutational features by ethnicity and genetic similarity. Global proportions of African, Asian, European, and Native American genetic ancestries were estimated using ADMIXTURE. Associations between these proportions and somatic mutational features were examined using logistic regression. APC, TP53, and KRAS were the top three mutated genes across all participants and in the subset of Latino individuals in LC3. In analyses examining recurrently mutated genes, tumors from patients of Latino ethnicity had fewer KRAS and PIK3CA mutations compared with tumors from non-Latino patients. Genetic ancestry overall was associated with CDC27 mutation status, and African genetic ancestry was associated with SMAD2 mutation status. In exome-wide analyses, African genetic ancestry was significantly associated with higher odds of mutation in KNCN and TMEM184B. Native American genetic ancestry was associated with a lower frequency of microsatellite instability-high tumors. The SBS11 mutational signature was associated with Native American genetic ancestry as well as Latino ethnicity. In an independent replication dataset, MSK-IMPACT, estimates of association were largely consistent in direction but nonsignificant. A meta-analysis of LC3 and MSK-IMPACT showed that African genetic ancestry was significantly associated with KRAS mutation status and MSI status. This work facilitates precision medicine initiatives by providing insights into the contribution of genetic ancestry to molecular features of colorectal tumors. Significance: Analysis of tumors from various populations can broadly characterize genomic landscapes and enhance precision medicine strategies.

The anti-EGFR agents, cetuximab and panitumumab, were the first targeted agents to be licensed in colorectal cancer and marked a significant advancement in personalized care. Initial biomarkers provided poor discrimination between responders and non-responders. Through hypothesis-led translational studies, tumor genomic negative predictive markers were identified, and treatment is now limited to patients with RAS and BRAF wild-type disease. Guidelines further recommend treatment limitation to those with left-primary tumor location (PTL). Despite such progress, anti-EGFR response remains variable within the biomarker-selected population, indicating the presence of additional mechanisms of resistance and underscoring the need for novel positive predictive biomarkers, and novel targeted agents. This review explores established and emerging predictive biomarkers of anti-EGFR efficacy, including tumor genetic alterations beyond RAS and BRAF, as well as the EGFR ligands, amphiregulin (AREG) and epiregulin (EREG). To date, biomarker discovery and validation have largely been performed within post hoc analyses of existing clinical trial datasets. We highlight ongoing prospective clinical trials aiming to validate earlier findings and describe how novel biomarkers are being used to re-evaluate anti-EGFR agents in treatment settings where earlier trials, among non-biomarker selected populations, yielded negative results - including right-PTL, locally advanced disease, and anti-EGFR rechallenge strategies. Additionally, we discuss how our improved understanding of the molecular mechanisms underpinning anti-EGFR response and resistance is being leveraged to develop novel targeted agents.

Colorectal cancer (CRC) continues to rank among the deadliest and most prevalent cancers worldwide, necessitating an innovative and comprehensive approach that addresses this serious health challenge at various stages, from screening and diagnosis to treatment and prognosis. As CRC research progresses, the adoption of an omics-centered approach holds transformative potential to revolutionize the management of this disease. Advances in omics technologies encompassing genomics, transcriptomics, proteomics, metabolomics, and epigenomics allow to unravel the oncogenic alterations at these levels, elucidating the intricacies and the heterogeneous nature of CRC. By providing a comprehensive molecular landscape of CRC, omics technologies enable the discovery of potential biomarkers for early non-invasive detection of CRC, definition of CRC subtypes, prediction of its staging, prognosis, and overall survival of CRC patients. They also allow the identification of potential therapeutic targets, prediction of drug response, tracking treatment efficacy, detection of residual disease and cancer relapse, and deciphering the mechanisms of drug resistance. Moreover, they allow the distinction of non-metastatic CRC patients from metastatic ones as well as the stratification of metastatic risk. Importantly, omics technologies open up new opportunities to establish molecular-based criteria to guide the selection of effective treatment paving the way for the personalization of therapy for CRC patients. This review consolidates current knowledge on the omics-based preclinical discoveries in CRC research emphasizing the significant potential of these technologies to improve CRC screening, diagnosis, and prognosis and promote the implementation of personalized medicine to ultimately reduce CRC prevalence and mortality.

This study aimed to expand on existing systematic literature reviews (SLRs) by assessing the prevalence of neurotrophic tyrosine receptor kinase (NTRK) fusion-positive mutations across solid tumors in adult U.S populations. It further evaluated incidence, testing, treatment, mortality, and progression rates by tumor type, extending evidence through 2023.

A SLR was conducted following Cochrane and PRISMA guidelines, with searches across Ovid Embase, Ovid MEDLINE, and Cochrane Library databases for studies published from 2013 to August 2023. Eligibility criteria included studies on NTRK fusion-positive tumors in patients aged ≥12 years. Data were extracted and assessed using the Newcastle-Ottawa Scale and JBI checklist.

This SLR identified 160 studies, reporting NTRK fusion prevalence ranging from 0.03% to 0.70% across solid tumors. TRK inhibitors, particularly larotrectinib and entrectinib, were commonly used treatments. Prevalence varied significantly by cancer type, being higher in rarer cancers, such as papillary thyroid carcinoma (up to 21.4%).

NTRK fusions are rare, with wide prevalence variability among cancer types. The findings highlight the need for standardized diagnostic methods and larger real-world studies to improve prevalence estimates and assess the impact of NTRK fusions on outcomes, ultimately aiding in the optimization of targeted treatments for affected patients.

Colorectal cancer (CRC) is a heterogeneous disease that is associated with several genetic or somatic mutations. Cancer immunotherapy has become a novel and revolutionary method of treatment for patients with advanced tumors. However, effective biomarkers that can reflect the response of CRC patients to immunotherapy have still not been identified. Our study aimed to explore the expression and functional role of KCNC3 in CRC.

The correlation between KCNC3 expression levels and CRC progression was explored and validated using data from The Cancer Genome Atlas (TCGA) and patient's samples from the Affiliated Hospital of Nantong University. Univariate and multivariate Cox regression models were developed to determine the predictive value of KCNC3 on the prognosis and immune activation of patients with CRC. We predicted the immunotherapy response in both the high and low KCNC3 expression subgroups. Finally, we confirmed that KCNC3 promotes the proliferation and invasion of colon cancer cells.

In this study, data from TCGA database and clinical patient parameters showed that high KCNC3 expression was associated with tumor immune infiltration and poor prognosis of CRC. KCNC3 expression was positively correlated with the infiltration levels of CD4+ cells, regulatory T cells (Tregs), and myeloid-derived suppressor cells (MDSCs), which contributed to the formation of an immunosuppressive tumor microenvironment (TME). The high expression of KCNC3 was accompanied by the upregulation of immune checkpoint molecules, including PDCD1, LAG3, FOXP3, and CTLA4, which stimulated tumor cells to evade immune surveillance. In vitro experiment, KCNC3 knockdown inhibited the growth and metastasis of SW1116 cells.

This study demonstrated that the high expression of KCNC3 contributes to the growth and invasion of CRC and confers with immunosuppressive microenvironment that can promote tumor progression and can be used to predict the poor clinical outcome of CRC patients.

This study aimed to investigate the impact of the mutational status of multiple genes on survival in Chinese patients with colorectal liver metastases (CRLM) undergoing liver resection.

This study included 519 Chinese patients undergoing curative liver resection for CRLM between 2011 and 2021 and had genomic sequencing data of 620 genes available for analysis. The genes associated with overall survival (OS) were identified using Cox regression analyses. The patients were stratified according to a novel scoring system based on the number of genes with a deleterious status (mutation or wild type), and OS was compared among the groups. The prognostic capacity of the scoring system was assessed using Harrell's C-index.

Twelve genes were mutated in more than 10% of the patients. RAS mutation, SMAD4 mutation, and APC wild-type status were significantly associated with worse OS. A scoring system was built based on the mutational status of RAS, SMAD4, and APC. Higher scores were significantly associated with worse OS (HR > 1, p < 0.05, for any two groups), and the patients with a score of 3 had poor survival with a median OS of only 17.1 months. The scoring system demonstrated moderate discriminative capacity (Harrell's C-index = 0.627).

In Chinese patients, the mutational status of RAS, SMAD4, and APC was significantly associated with survival after CRLM resection. The three-gene scoring system provided information on prognostic stratification for survival, which can be used to improve precision surgery for CRLM.

Colorectal cancer (CRC) patients benefit more from immune checkpoint inhibitor therapy, but they only account for around 15% of all patients. The remaining patients still lack effective therapeutic biomarkers to predict their prognosis.

We performed whole-exome sequencing (WES) to analyze 84 CRC specimens, classifying them into different groups based on their microsatellite status (MS), tumor mutation burden (TMB), homologous recombination deficiency (HRD) score, and clinicopathological features, which might be associated with clinical outcomes. Survival analysis and multivariable Cox regression modeling were employed to identify prognostic indicators. Comparative genomic profiling evaluated somatic mutations, copy number variations (CNVs), and pathway activation patterns across clinical subgroups.

The characteristics of the cohort (N = 84) revealed a median age of 52 years, with a male predominance (61.9%) and a majority of patients presenting with stage IV disease (77%). The HRD-high (HRD-H) subgroup accounted for 16.7%, while 19.0% of cases were microsatellite instability-high (MSI-H) and 22.6% were TMB-high (TMB-H). Multivariable analysis identified HRD-H as an independent predictor of overall survival (OS: HR = 0.19, 95% CI 0.12-0.94, p = 0.002). Comparative genomics demonstrated distinct mutation landscapes between HRD-H and HRD-low subgroups. In microsatellite-stable (MSS) patients, HRD-H status correlated with enriched SMAD4 mutations (p < 0.01) and differential activation of TGF-β/MYC signaling pathways compared to HRD-H-MSI counterparts.

HRD status serves as a novel independent prognostic biomarker in CRC. Our multi-parametric genomic framework delineates stratification-specific molecular signatures, advocating for HRD-integrated molecular diagnostics to optimize CRC management.

Colorectal cancer (CRC) remains a leading cause of cancer death because of metastatic spread. LIN28B is overexpressed in 30% of CRCs and promotes metastasis, yet its mechanisms remain unclear. In this study, we genetically modified CRC cell lines to overexpress LIN28B, resulting in enhanced PI3K/AKT pathway activation and liver metastasis in mice. We developed genetically modified mouse models with constitutively active Pik3ca that form intestinal tumors progressing to liver metastases with an intact immune system, addressing the limitations of previous Pik3ca-mutant models, including long tumor latency, mixed histology, and lack of distant metastases. The PI3Kα-specific inhibitor alpelisib reduced migration and invasion in vitro and metastasis in vivo. We present a comprehensive analysis of vertical inhibition of the PI3K/AKT pathway in CRC using the FDA-approved drugs alpelisib and capivasertib (an AKT inhibitor) in combination with LY2584702 (a ribosomal protein S6 kinase inhibitor) in CRC cell lines and mouse- and patient-derived organoids. Tissue microarrays from patients with CRC verified that LIN28B and PI3K/AKT pathway activation correlate with CRC progression. These findings highlight the critical role of the LIN28B-mediated PI3K/AKT pathway in CRC metastasis, the therapeutic potential of targeted inhibition, and the promise of patient-derived organoids in precision medicine in metastatic CRC.

Application of machine learning (ML) on cancer-specific pharmacogenomic datasets shows immense promise for identifying predictive response biomarkers to enable personalized treatment. We introduce CAN-Scan, a precision oncology platform, which applies ML on next-generation pharmacogenomic datasets generated from a freeze-viable biobank of patient-derived primary cell lines (PDCs). These PDCs are screened against 84 Food and Drug Administration (FDA)-approved drugs at clinically relevant doses (Cmax), focusing on colorectal cancer (CRC) as a model system. CAN-Scan uncovers prognostic biomarkers and alternative treatment strategies, particularly for patients unresponsive to first-line chemotherapy. Specifically, it identifies gene expression signatures linked to resistance against 5-fluorouracil (5-FU)-based drugs and a focal copy-number gain on chromosome 7q, harboring critical resistance-associated genes. CAN-Scan-derived response signatures accurately predict clinical outcomes across four independent, ethnically diverse CRC cohorts. Notably, drug-specific ML models reveal regorafenib and vemurafenib as alternative treatments for BRAF-expressing, 5-FU-insensitive CRC. Altogether, this approach demonstrates significant potential in improving biomarker discovery and guiding personalized treatments.

Microbial alterations in different tumor locations of colorectal cancer (CRC) remain unclear. Here, 1,375 fecal metagenomes from six in-house and published datasets were analyzed, including 128 right-sided CRC (rCRC), 168 left-sided CRC (lCRC), 250 rectal cancer (RC), and 829 controls. Firmicutes progressively increase from rCRC, lCRC, to RC, in contrast to the gradual decrease of Bacteroidetes. Tumor location-associated fecal microbes are identified, including Veillonella parvula for rCRC, Streptococcus angionosus for lCRC, and Peptostreptococcus anaerobius for RC, while Fusobacterium nucleatum is enriched in all tumor locations. Tumor location-associated bacteria correlate with patient survival. Clinically, we establish a microbial biomarker panel for each tumor location that accurately diagnoses rCRC (area under the receiver operating characteristic curve [AUC] = 91.59%), lCRC (AUC = 91.69%), or RC (AUC = 90.53%) from controls. Tumor location-specific biomarkers also have higher diagnostic accuracy (AUC = 91.38%) than location-non-specific biomarkers (AUC = 82.92%). Overall, we characterize fecal microbes associated with different CRC tumor locations, highlighting that tumor location should be considered in non-invasive diagnosis.

MAPK signaling activation is an important driver event in colorectal cancer (CRC) tumorigenesis that informs therapy selection, but detection by liquid biopsy can be challenging. We analyze real-world comprehensive genomic profiling (CGP) data to explore the landscape of alterations in BRAF or RAS in CRC patients (N = 51 982) and co-occurrence with other biomarkers. A pathogenic RAS or BRAF alteration was found in 63.2% and 57.9% of colon and rectal cancer samples, respectively. In a subset of 140 patients with both tissue- and liquid-based CGP, the sensitivity of liquid for results found by tissue was 100% when ctDNA tumor fraction was at least 1%, illustrating the utility of tissue and liquid biopsy in detecting driver alterations in CRC.

Comprehensive genomic profiling (CGP) is being increasingly adopted in clinical practice to guide the use of molecularly guided treatment options (MGTOs). To optimize the integration of MGTOs in routine cancer care, molecular tumour boards (MTBs) have been established. Limited data are available to address the clinical value of implementing MTBs to inform treatment decision making in patients with gastrointestinal (GI) cancers.

We retrospectively retrieved medical records from patients with advanced GI cancers discussed at the European Institute of Oncology's MTB between August 2019 and December 2024. We evaluated clinical outcomes resulting from applying MGTOs in cancer care according to MTB recommendations, describing real-world progression-free (rwPFS) and overall survival (OS), and used the growth modulation index (GMI) (ratio of PFSMTB to PFSprior) to quantify the effectiveness of MTB's recommended cancer treatment in extending PFS.

Among 192 patients with GI cancers discussed at MTB, 139 (72.3%) received an MTB treatment recommendation. For patients with available follow-up data (n = 82), 31 patients (41.4%, 17.7% overall) received MGTOs, while 51 patients received standard treatments. Patients receiving MGTOs exhibited a longer rwPFS compared with cases receiving standard therapies [5.35 versus 3.55 months, hazard ratio (HR) 0.62, 95% confidence interval (CI) 0.36-1.08, P = 0.08] and with unmatched cases showing actionable biomarkers but not treated with targeted agents (n = 31) (rwPFS 5.35 versus 2.40 months, HR 0.49, 95% CI 0.27-0.90, P = 0.02). The use of MGTOs resulted in a GMI of 1.12 (interquartile range 0.68-2.36). The European Society for Medical Oncology (ESMO) Scale for Clinical Actionability of molecular Targets (ESCAT) tier I-III treatments resulted in a restricted mean PFS gain of 4.87 months compared with standard therapies (95% CI 1.02-8.72 months, P = 0.01). No OS difference was observed between patients receiving MGTOs and standard treatments (P = 0.89).

Our results suggest that MTB-informed clinical decision making could provide valuable clinical benefits and expanded therapeutic options in patients affected by advanced GI cancers.

Dysregulation of the phosphatidylinositol 3-kinase (PI3K) pathway is a key contributor to cancer, making PI3K inhibitors a promising approach for targeted therapy. The selectivity of available inhibitors varies across different PI3K isoforms. Alpelisib and inavolisib are selective for the α-isoform, while duvelisib targets the δ- and γ-isoforms, and copanlisib is a pan-PI3K inhibitor, active against all isoforms. This study investigated the activity of these four PI3K inhibitors in combination with other targeted agents using multi-cell type tumor spheroids composed of 60% malignant cells, 25% endothelial cells, and 15% mesenchymal stem cells. Twenty-nine tumor spheroid models were evaluated, including twenty-six patient-derived cancer cell lines from the NCI Patient-Derived Models Repository and three established cell lines from the NCI-60 human tumor cell line panel. Additive and/or synergistic effects were observed with alpelisib or inavolisib or copanlisib in combination with a RAS/MEK/ERK pathway inhibitor, either selumetinib (MEK), ravoxertinib (ERK 1/2), or tovorafenib (DAY101, RAF). Combinations of each of these three PI3K inhibitors with the KRAS mutation specific inhibitors MTRX1133 (KRAS G12D) or sotorasib (KRAS G12C) had selective activity in cell lines harboring the corresponding target. Lastly, combination effects were observed from vertical inhibition of the PI3K/AKT/mTOR pathway with a PI3K inhibitor in combination with either the mTORC1/2 inhibitor sapanisertib or an AKT inhibitor, ipatasertib or afuresertib.

BRAF mutations in colorectal cancer comprise three functional classes: class 1 (V600E) with strong constitutive activation, class 2 with pathogenic kinase activity lower than that of class 1, and class 3 which paradoxically lacks kinase activity. Non-class 1 mutations associate with better prognosis, microsatellite stability, distal tumor location, and better anti-EGFR response. An analysis of 13 colorectal cancer cohorts (n = 6,605 tumors) compared class 1 (n = 709, 10.7% of colorectal cancers), class 2 (n = 31, 0.47%), and class 3 (n = 81, 1.22%) mutations. Class 2-mutant and class 3-mutant colorectal cancers frequently co-occurred with additional Ras pathway mutations (29.0% and 45.7%, respectively, vs. 2.40% in class 1; P < 0.001), often at atypical sites (KRAS noncodon 12/13/61, NRAS, or NF1). Ras pathway activation was highest in class 1 and lowest in class 3, with a greater distal expression of EGFR ligands (amphiregulin/epiregulin) supporting weaker BRAF driver mutations. Unlike class 1 mutants, class 3 tumors resembled chromosomally unstable colorectal cancers in mutation burdens, signatures, driver mutations, and transcriptional subtypes, whereas class 2 mutants displayed intermediate characteristics. Atypical BRAF mutations were associated with longer overall survival than class 1 mutations (HR = 0.25; P = 0.011) but lost this advantage in cancers with additional Ras mutations (HR = 0.94; P = 0.86). This study supports the suggestion that class 3 BRAF mutations amplify existing Ras signaling in a two-mutation model and that the enhancement of weak/atypical Ras mutations may suffice for tumorigenesis, with potentially clinically important heterogeneity in the class 2/3 subgroup. Implications: The heterogeneous nature of BRAF-mutant colorectal cancers, particularly among class 2/3 mutations which frequently harbor additional Ras mutations, highlights the necessity of comprehensive molecular profiling.

Despite the discovery of numerous oncogenes in colorectal cancer (CRC), the development of associated drugs is limited, posing a significant challenge for CRC treatment. Identification of novel druggable targets is therefore crucial for the therapeutic development of CRC. Here, we report the first investigation on therapeutics targeting the potent oncogene NUCKS1 to suppress cancer progression. NUCKS1-orientated bioinformatics screening of NUCKS1 inhibitors from our library of tRNA fragments originated from medicinal plants identified tRF-T36, a 5' tRNA fragment of tRNAAsn(GUU) of Chinese yew (Taxus chinensis), exhibiting stronger inhibitory effects than taxol against CRC progression. Mechanistically, tRF-T36 binds directly to the 3' UTR of NUCKS1 mRNA to downregulate its expressions via RNAi pathway. High-throughput RNA sequencing indicated that the downregulated NUCKS1 induced by tRF-T36 further inhibits PI3K/Akt pathway, as verified by the significantly efficacy decrease of tRF-T36 mimic in co-treatment with 740Y-P, an agonist of PI3K/Akt pathway. Collectively, our findings emphasize the importance of NUCKS1 as a promising druggable target for CRC. Furthermore, the present study provides the first siRNA sequence, tRF-T36 mimic, as small RNA drug candidate, thereby shedding light on CRC therapeutics.

This study analyzed targeted sequencing data from 6530 tissue samples from patients with metastatic Chinese colorectal cancer (CRC) to identify low mutation frequency and subgroup-specific driver genes, using three algorithms for overall CRC as well as across different clinicopathological subgroups. We analyzed 425 cancer-related genes, identifying 101 potential driver genes, including 36 novel to CRC. Notably, some genes demonstrated subgroup specificity; for instance, ERBB4 was found as a male-specific driver gene and mutations of ERBB4 only influenced the prognosis of male patients with CRC. This sex disparity of ERBB4 was validated in an independent large-scale Memorial Sloan Kettering Cancer Center CRC cohort with 2444 samples. Furthermore, using network-based stratification based on protein-protein interaction, we classified the microsatellite stable (MSS) and unstable (MSI) CRCs into six and three major subtypes, respectively, each showing unique phenotypes and prognoses. In MSS CRC, cluster 5 (APCAMER1-KRAS) and cluster 2 (RNF43-BRAF-PIK3CA) were predominant, and cluster 5 showed a superior overall survival compared with cluster 2. This extensive heterogeneity in driver gene mutations underscores the complexity of CRC and suggests significant implications for treatment and prognostic assessments.

This review article aims to address the challenges associated with targeted therapy for the treatment of metastatic colorectal cancer (mCRC). We will first provide an overview of approved targeted therapies for treating mCRC, which include antiangiogenic therapy, as well as inhibitors of EGFR, BRAFV600E, HER2 inhibitors, and immune checkpoints. Second, we discuss the different mechanisms of primary resistance, including tumor heterogeneity, both as inter-patient and intra-patient heterogeneity, and mechanisms of secondary resistance which include: driver oncogene alterations, downstream or parallel bypass signaling, presence of co-dominant driver oncogenes, tumor lineage plasticity, and epithelial to mesenchymal transition. Resistance mechanisms towards the different drug classes targeting mCRC are discussed in detail. Strategies to overcome resistance primarily involve combination of therapies, although this approach is typically linked to increased drug toxicity, manifesting as on and off-target effects. Moreover, the cost and accessibility of targeted therapies pose significant challenges for diverse populations. Addressing these challenges necessitates further research efforts aimed at optimizing the use of targeted therapy in mCRC. Integration of genomic biomarkers, such as sequencing and liquid biopsy, into routine clinical practice holds promise in enhancing treatment outcomes. In conclusion, this comprehensive review underscores the complex challenges encountered in targeted therapy for mCRC.

Patients treated with radiotherapy (RT) for prostate cancer (PC) have increased risk of secondary rectal cancer (SRC) and more limited treatment options.

To assess the tumor molecular profile, clinical characteristics, and oncologic outcomes of SRC after PC and compare them with those of primary rectal cancer (PRC).

This case-control study included patients with SRC diagnosed 5 or more years after RT for PC and patients with PRC who were treated at Memorial Sloan Kettering Cancer Center in New York between February 1, 1994, and September 31, 2022.

Clinical information and DNA sequencing data were analyzed. Oncologic outcomes were compared between patients with SRC and clinically matched patients with PRC using log-rank tests and Cox proportional hazards regression models. Numerical and categorical variables were compared using the Wilcoxon rank sum test and Fisher exact test, respectively.

The analysis included 604 male patients with PRC (71.6%; median age, 55 [IQR, 46-66] years) and 64 male patients with SRC (median age, 78 [IQR, 72-82] years). Patients with SRC had more distal rectum (37 of 63 [58.7%] vs 131 of 581 [22.5%]; P < .001) and anterior rectal wall (20 of 57 [35.1%] vs 67 of 496 [13.5%]; P < .001) tumors, were less likely to receive neoadjuvant treatment (33 of 64 [51.6%] vs 570 of 604 [94.4%]), and had shorter 5-year overall survival (45.7% vs 64.9%; P = .01) and disease-free survival (40.3% vs 71.2%; P = .006) compared with clinically matched patients with PRC. Targeted DNA sequencing data from 31 SRC tumors identified lower mutational burden (median, 4.4 [IQR, 3.2-6.7] per megabase [Mb] vs 5.8 [IQR, 4.4-7.0] per Mb; P = .047), lower frequency of APC alterations (15 [48.4%] vs 432 [79.9%]; P < .001), and higher rates of SMAD4 inactivation (8 [25.8%] vs 54 [10.0%]; P = .01) compared with 541 PRC tumors. Whole-exome sequencing data from 17 SRC tumors identified a higher rate of frameshift deletions compared with 28 PRC tumors (median, 5.0 [IQR, 4.0-9.0] vs 2.5 [IQR, 1.0-4.2] variants; P < .001).

In this case-control study, patients with SRC after RT for PC had worse survival and different molecular profiles than patients with PRC. These findings may help improve the clinical management of SRC.

Genetic alterations to serine-threonine kinase 11 (STK11) have been implicated in Peutz-Jeghers syndrome and tumorigenesis. Further exploration of the context-specific roles of liver kinase B1 (LKB1; encoded by STK11) observed that it regulates AMP-activated protein kinase (AMPK) and AMPK-related kinases. Given that both migration and proliferation are enhanced with the loss of LKB1 activity combined with the prevalence of STK11 genetic alterations in cancer biopsies, LKB1 was marked as a tumor suppressor. However, the role of LKB1 in tumorigenesis is paradoxical as LKB1 activates autophagy and reactive oxygen species scavenging while dampening anoikis, which contribute to cancer cell survival. Due to the pro-tumorigenic properties of LKB1, targeting LKB1 pathways is now relevant for cancer treatment. With the recent successes of targeting LKB1 signaling in research and clinical settings, and enhanced cytotoxicity of chemical compounds in LKB1-deficient tumors, there is now a need for LKB1 inhibitors. However, validating LKB1 inhibitors is challenging as LKB1 adaptor proteins, nucleocytoplasmic shuttling, and splice variants all manipulate LKB1 activity. Furthermore, STE-20-related kinase adaptor protein (STRAD) and mouse protein 25 dictate LKB1 cellular localization and kinase activity. For these reasons, prior to assessing the efficacy and potency of pharmacological candidates, the functional status of LKB1 needs to be defined. Therefore, to improve the understanding of LKB1 in physiology and oncology, this review highlights the role of LKB1 in tumorigenesis and addresses the therapeutic relevancy of LKB1 inhibitors.

Mismatch repair deficiency (MMR-d) and microsatellite instability (MSI) are prognostic and predictive biomarkers in oncology. Current testing for MMR/MSI relies on immunohistochemistry (IHC) for MMR proteins and molecular assays for MSI detection. This combined diagnostic strategy, however, lacks tumor specificity and does not account for gene variants. This study provides an in-depth analysis of MMR mutations frequency, spectrum, and distribution in solid tumors. Data from 23,893 patients across 11 tumor types, using 66 publicly available studies, were analyzed. MMR-mutated (MMR-m) status was defined by alterations in MLH1, PMS2, MSH2, and/or MSH6; MSI was assessed by MSIsensor. Cases with indeterminate labelling were excluded. Survival was analyzed using the Kaplan-Meier method. Among 19,353 tumors, 949 MMR variants were identified, comprising 432 pathogenic and 517 variants of unknown significance (VUS), as defined by OncoKB. MSH6 mutations were the most frequent (n = 279, 29.4 %), followed by MSH2 (n = 198, 20.9 %), MLH1 (n = 187, 19.7 %), and PMS2 (n = 161, 16.9 %). MMR-m cases were more frequent in endometrial (EC, 20.5 %), colorectal (CRC, 8.2 %), bladder (BLCA, 8.7 %), and gastroesophageal cancers (GEC, 5.4 %). Pathogenic mutations were more common than non-pathogenic in EC, CRC, and GEC (p < 0.001, p = 0.01, p = 0.32, respectively). MMR-m status was not associated with MSI in 247 (48.9 %) cases, including 67 (13.2 %) with pathogenic mutations. The highest concordance between MMR-m and MSI was observed in CRC (65.7 %), EC (91.2 %), and GEC (69.6 %), while the lowest in pancreatic (0.2 %) and lung cancers (0.1 %). MMR-m GECs showed improved overall survival compared to MMR-wt (p = 0.009), a relationship not observed in other tumor types. This study demonstrates that the MMR spectrum is extremely hetoerogeneous in solid tumors, highliting the need for comprehensive and tumor-specific testing strategies.

Peritoneal carcinomatosis is a common yet deadly manifestation of gastrointestinal cancers, with few effective treatments. To identify targetable determinants of peritoneal metastasis, we focused on appendiceal adenocarcinoma (AC), a gastrointestinal cancer that metastasizes almost exclusively to the peritoneum. Current treatments are extrapolated from colorectal cancer (CRC), yet AC has distinct genomic alterations, mucinous morphology and peritoneum restricted metastatic pattern. Further, no stable preclinical models of AC exist, limiting drug discovery and representing an unmet clinical need. We establish a first-in-class stable biobank of 16 long-term cultured AC patient-derived organoids (PDOs), including 3 matched, simultaneously resected primary AC-peritoneal carcinomatosis (AC-PC) pairs. By enriching for cancer cells, AC PDOs enable accurate genomic characterization relative to paucicellular AC tissue. We establish an organoid orthotopic intraperitoneal xenograft model that recapitulates diffuse peritoneal carcinomatosis and show that PC-organoids retain increased metastatic capacity, decreased growth factor dependency and sensitivity to standard of care chemotherapy relative to matched primary AC organoids. Single cell profiling of AC-PC pairs reveals dedifferentiation from mucinous differentiated states in primary AC into intestinal stem cell and fetal progenitor states in AC-PC, with upregulation of oncogenic signaling pathways. Through hypothesis-driven drug testing, we identify KRASMULTI-ON inhibitor RMC-7977 and Wnt-targeting tyrosine kinase inhibitor WNTinib as novel, clinically actionable strategies to target AC-PC more effectively.

Patients with colorectal cancer (CRC) harboring BRAF mutation have a poor prognosis. The median survival time for patients with advanced BRAFV600E-mutant CRC is only approximately one year. Owing to the insensitivity to standard chemotherapy, there are still no effective and highly specific treatment strategies available in clinical practice for CRC patients with BRAF mutation. Therefore, targeting the BRAFV600E mutation site, researching and exploring novel targeted therapies are essential to improve the survival rate of patients with this CRC subtype.

This study aims to develop a precise therapeutic system for BRAFV600E CRC, based on the carrier properties of extracellular vesicles (EVs) and gene therapy targeting BRAFV600E.

We first obtained engineered cells capable of stably producing EVs loaded with BRAFV600E nucleic acid drugs (siBRAFV600E). Next, BRAFV600E-mutant and wild-type CRC cell lines, as well as corresponding subcutaneous and metastasis models, were used to evaluate the therapeutic efficacy of EVs-siBRAFV600E and explored the mechanism. Notably, patient-derived xenograft (PDX) models, which share the same molecular characteristics, pathological features, and heterogeneity as patients do, were utilized to further explore the therapeutic efficacy and mechanisms.

EVs-siBRAFV600E specifically inhibited BRAFV600E CRC but didn't affect BRAF wild-type CRC in vitro and vivo. EVs-siBRAFV600E exerts its therapeutic effect by regulating the MEK1/2-ERK1/2 pathway, and it has demonstrated excellent therapeutic efficacy in PDX models.

The therapeutic EVs we constructed are effective and specific for the BRAFV600E-mutant CRC. This study provides a novel strategy for the treatment of CRC patients with BRAFV600E mutation.

Different colorectal cancer (CRC) studies rarely report overlapping prognostic genes. This study aimed to investigate the effects of sample size on prognostic genes analysis in CRC.

We included 418 CRC cases detected by whole-exome sequencing (WES) in the TCGA PanCancer cohort and 931 CRC cases detected by targeted sequencing in the MSK cohort. Prognostic genes analysis was repeated 200 times at each sample size level using a random resampling method.

For WES data, the number of prognostic genes increased in a power-law with increasing sample size in CRC cases with stage III and IV. This pattern also applied to CRC patients with stage II after the removal of patients with MSI-H or POLE mutations. However, for targeted sequencing data, the number of prognostic genes increased linearly with increasing sample size in CRC cases with stage III and IV. About 550 cases were required for stage IV CRC to reach the plateau of prognostic genes. In both cohorts, the proportion of true prognostic genes relative to sample size was consistent with a binomial distribution, indicating a significant effect of sample size on the reliability of prognostic genes. At the same sample size level, the number of prognostic genes from the WES data was higher than that from the targeted sequencing data, while the reliability of prognostic genes from the WES data was lower.

This study shows the relationship between the number of prognostic genes and sample size in CRC and how mutation data affects this relationship. This will contribute to the trial design for prognostic genetic analysis in CRC.

Lung adenocarcinoma, the most common subtype of lung cancer, is genomically complex, with tumors containing tens to hundreds of non-synonymous mutations. However, little is understood about how genes interact with each other to enable the evolution of cancer in vivo, largely due to a lack of methods for investigating genetic interactions in a high-throughput and quantitative manner. Here, we employed a novel platform to generate tumors with inactivation of pairs of ten diverse tumor suppressor genes within an autochthonous mouse model of oncogenic KRAS-driven lung cancer. By quantifying the fitness of tumors with every single and double mutant genotype, we show that most tumor suppressor genetic interactions exhibited negative epistasis, with diminishing returns on tumor fitness. In contrast, Apc inactivation showed positive epistasis with the inactivation of several other genes, including synergistic effects on tumor fitness in combination with Lkb1 or Nf1 inactivation. Sign epistasis was extremely rare, suggesting a surprisingly accessible fitness landscape during lung tumorigenesis. These findings expand our understanding of the interactions that drive tumorigenesis in vivo.

The transcription factor p53 is the most frequently impaired tumor suppressor in human cancers. In response to various stress stimuli, p53 activates transcription of genes that mediate its tumor-suppressive functions. Distinctive characteristics of p53 outlined here enable a well-defined program of genes involved in cell cycle arrest, apoptosis, senescence, differentiation, metabolism, autophagy, DNA repair, anti-viral response, and anti-metastatic functions, as well as facilitating autoregulation within the p53 network. This versatile, anti-cancer network governed chiefly by a single protein represents an immense opportunity for targeted cancer treatment, since about half of human tumors retain unmutated p53. During the last two decades, numerous compounds have been developed to block the interaction of p53 with the main negative regulator MDM2. However, small molecule inhibitors of MDM2 only induce a therapeutically desirable apoptotic response in a limited number of cancer types. Moreover, clinical trials of the MDM2 inhibitors as monotherapies have not met expectations and have revealed hematological toxicity as a characteristic adverse effect across this drug class. Currently, combination treatments are the leading strategy for enhancing efficacy and reducing adverse effects of MDM2 inhibitors. This review summarizes efforts to identify and test therapeutics that work synergistically with MDM2 inhibitors. Two main types of drugs have emerged among compounds used in the following combination treatments: first, modulators of the p53-regulated transcriptome (including chromatin modifiers), translatome, and proteome, and second, drugs targeting the downstream pathways such as apoptosis, cell cycle arrest, DNA repair, metabolic stress response, immune response, ferroptosis, and growth factor signaling. Here, we review the current literature in this field, while also highlighting overarching principles that could guide target selection in future combination treatments.