While structural variants (SVs) are a clear sign of genomic instability, they have not been systematically quantified per patient since declining costs have only recently enabled large-scale profiling. Therefore, the biological and clinical impact of high numbers of SVs in patients is unknown. We introduce tumor break load (TBL), defined as the sum of unbalanced SVs, as a measure for SV-associated genomic instability. Using pan-cancer data from TCGA, PCAWG, and CCLE, we show that a high TBL is associated with significant changes in gene expression in 26/31 cancer types that consistently involve upregulation of DNA damage repair and downregulation of immune response pathways. Patients with a high TBL show a higher risk of recurrence and shorter median survival times for 5/15 cancer types. Our data demonstrate that TBL is a biologically and clinically relevant feature of genomic instability that may aid patient prognostication and treatment stratification. For the datasets analyzed in this study, TBL has been made available in cBioPortal.

GATA1 is one of critical transcription factors for megakaryopoiesis and platelet production. Our study aimed to explore the correlations between GATA1 expression and dysmegakaryopoiesis in myelodysplastic syndromes/neoplasm (MDS). We assessed GATA1 expression level of megakaryocytes by performing immunohistochemical staining on bone marrow biopsy sections from MDS patients. According to GATA1 expression level of megakaryocytes and positive megakaryocyte percentage, we assigned each patient a GATA1 score. Compared with TP53-wildtype patients, GATA1 scores significantly decreased in TP53-mutated patients (P < 0.001). Patients with abnormal karyotypes showed decreased GATA1 scores than those with normal karyotypes (P = 0.024). GATA1 expression levels were significantly downregulated in dysplastic megakaryocytes, especially micromegakaryocytes (P < 0.001). Furthermore, we explored the correlation between GATA1 expression levels and cytogenetic abnormalities of the same megakaryocyte using the morphology antibody chromosome (MAC) technique on fresh bone marrow smears. We found that GATA1-negative megakaryocytes had higher frequencies of cytogenetic abnormalities. Our results indicated that decreased GATA1 expression level of megakaryocytes was significantly associated with TP53 mutations, abnormal karyotypes and dysmegakaryopoiesis in MDS, suggesting that downregulation of GATA1 expression levels of megakaryocytes plays a critical role in the pathogenesis of MDS.

To rapidly adapt to harmful changes to their environment, cells activate the integrated stress response (ISR). This results in an adaptive transcriptional and translational rewiring, and the formation of biomolecular condensates named stress granules (SGs), to resolve stress. In addition to this first line of defence, the mitochondrial unfolded protein response (UPRmt) activates a specific transcriptional programme to maintain mitochondrial homeostasis. We present evidence that the SG formation and UPRmt pathways are intertwined and communicate. UPRmt induction results in eIF2α phosphorylation and the initial and transient formation of SGs, which subsequently disassemble. The induction of GADD34 (also known as PPP1R15A) during late UPRmt protects cells from prolonged stress by impairing further assembly of SGs. Furthermore, mitochondrial functions and cellular survival are enhanced during UPRmt activation when SGs are absent, suggesting that UPRmt-induced SGs have an adverse effect on mitochondrial homeostasis. These findings point to a novel crosstalk between SGs and the UPRmt that might contribute to restoring mitochondrial functions under stressful conditions.

BackgroundMalignant tumors are serious diseases that endanger human health. Therefore, it is crucial to identify markers that facilitate tumor diagnosis and prognostic assessment.ObjectiveThis study analyzed the significance of Monocyte to macrophage differentiation-associated (MMD) in various tumors from multiple perspectives, to explore the possibility of using MMD as a novel tumor marker.MethodsUsing the R software, an examination of MMD levels was conducted across diverse human cancers and their influence on cancer outcomes. MMD methylation, mutations, and immune infiltration analyses of various tumors were performed. A Cox regression model was used to predict the survival rates of patients with hepatocellular carcinoma (HCC). Finally, MMD expression and function were validated in Hep-3B cells.ResultsMMD was aberrantly expressed in diverse tumors and can predict patient outcomes. Methylation and functional enrichment studies indicated possible function of MMD in tumor progression, whereas immune infiltration data suggested its involvement in tumor immune evasion. Cox regression analysis revealed that elevated MMD levels were independent predictors of HCC patient outcomes. The quantitative real-time polymerase chain reaction (qPCR) data demonstrated high MMD levels in Hep-3B cells, and its suppression impeded Hep-3B cell growth.ConclusionsMMD was abnormally expressed in various tumors and was closely associated with tumor prognosis. Thus, it had the potential to be used as a novel tumor marker.

The tumour microenvironment is composed of a complex cellular network involving cancer, stromal and immune cells in dynamic interactions. A large proportion of this network relies on direct physical interactions between cells, which may impact patient responses to clinical therapy. Doublets in scRNA-seq are usually excluded from analysis. However, they may represent directly interacting cells. To decipher the physical interaction landscape in relation to clinical prognosis, we inferred a physical cell-cell interaction (PCI) network from 'biological' doublets in a scRNA-seq dataset of approximately 18,000 cells, obtained from 7 treatment-naive ovarian cancer patients. Focusing on cancer-stromal PCIs, we uncovered molecular interaction networks and transcriptional landscapes that stratified patients in respect to their clinical responses to standard therapy. Good responders featured PCIs involving immune cells interacting with other cell types including cancer cells. Poor responders lacked immune cell interactions, but showed a high enrichment of cancer-stromal PCIs. To explore the molecular differences between cancer-stromal PCIs between responders and non-responders, we identified correlating gene signatures. We constructed ligand-receptor interaction networks and identified associated downstream pathways. The reconstruction of gene regulatory networks and trajectory analysis revealed distinct transcription factor (TF) clusters and gene modules that separated doublet cells by clinical outcomes. Our results indicate (i) that transcriptional changes resulting from PCIs predict the response of ovarian cancer patients to standard therapy, (ii) that immune reactivity of the host against the tumour enhances the efficacy of therapy, and (iii) that cancer-stromal cell interaction can have a dual effect either supporting or inhibiting therapy responses.

Weiqi Decoction (WQD) is an empirical prescription traditionally used in China for the treatment of precancerous gastric cancer (GC) lesions. This study aimed to elucidate the potential pharmacological mechanisms of WQD in GC therapy.

Active ingredients, corresponding targets, and GC-related genes were identified using public databases. A protein-protein interaction (PPI) network was constructed via the STRING database, and functional enrichment analyses were conducted using the DAVID platform. Gene expression and survival analyses were performed using the GEPIA database. Molecular docking was conducted with AutoDock Vina and visualized using PyMOL. The effects of WQD on GC cell viability, proliferation, migration, and invasion were evaluated through CCK-8, colony formation, and Transwell assays.

WQD contained 43 active ingredients targeting 751 potential genes, including 458 GC-related targets. Quercetin, luteolin, and kaempferol were identified as key active compounds. PPI network analysis revealed nine core targets, including TP53 and SRC, which may mediate the anti-GC effects of WQD. GO enrichment analysis indicated involvement in 726 biological processes, 91 cellular components, and 177 molecular functions, while KEGG pathway analysis suggested modulation of the AGE-RAGE, PI3K-Akt, and HIF-1 signaling pathways. GEPIA database analysis confirmed that EP300, HSP90AA1, HSP90AB1, SRC, and TP53 were highly expressed in GC. Molecular docking demonstrated strong binding affinities between the key active compounds and core targets. In vitro experiments further validated that WQD extract inhibited GC cell viability, proliferation, migration, and invasion.

WQD exhibits therapeutic potential against GC by regulating multiple targets and signaling pathways. These findings provide mechanistic insights into the pharmacological actions of WQD in GC treatment.

In EGFR-mutated lung adenocarcinoma (EGFRm LUAD), EGFR mutations do not necessarily result in increased EGFR expression (EGFR-exp), which differs among patients. However, the factors influencing EGFR-exp and the impact of EGFR-exp on tumor characteristics in patients with EGFRm LUAD remain unclear.

Whole-exome and RNA sequencing were performed for patients with early- and advanced-stage EGFRm LUAD. The patients were classified into low or high EGFR-exp groups based on the median transcripts per million. We retrospectively examined the association between EGFR-exp, genomic characteristics, downstream EGFR signaling activity, tumor microenvironment (TME) status, and clinical outcomes.

This study included 450 and 45 patients in the early- and advanced-stage cohorts, respectively. In both cohorts, the EGFR-exp low group exhibited a lower incidence of TP53 co-mutations and EGFR amplification and a higher incidence of EGFR subclonal mutations than the EGFR-exp high group. Furthermore, downstream EGFR signaling pathways, such as the MAPK signaling, were less activated in the EGFR-exp low group. However, this group showed significantly enriched adaptive immune response pathways (Q < 0.0001) and an immune-inflamed TME. Additionally, a low EGFR-exp was a significantly favorable factor for postoperative relapse (odds ratio [OR], 0.6; P = 0.04). However, in the advanced-stage cohort, a low EGFR-exp was a significant risk factor for non-responders to osimertinib (OR, 17.5; P = 0.03).

In EGFRm LUAD, significant associations were observed between EGFR-exp levels and both EGFR signaling pathways and adaptive immune status, which in turn influence clinical outcomes. This large-scale multi-omics analysis highlights the heterogeneity among patients with EGFRm LUAD and emphasizes the need to assess EGFR-exp levels alongside mutation status for optimal treatment strategies in EGFRm LUAD.

This study aimed to investigate the molecular characteristics associated with better prognosis in breast cancer.

We performed targeted sequencing of 962 genes in 56 samples, categorizing them into long-term and short-term survival groups as well as chemotherapy-sensitive and chemotherapy-resistant groups for further analyses.

The results indicated that the tumor mutational burden values were significantly higher in the short-term survival and chemotherapy-resistant groups (p = 0.008 and p = 0.003, respectively). Somatic mutation analysis revealed that the mutation frequencies of BCL9L and WHSC1 were significantly lower in the long-term survival group than those in the short-term survival group (p = 0.029 and p = 0.024, respectively). CREB-regulated transcription coactivator 1 (CRTC1) mutations occurred significantly more frequently in the chemotherapy-resistant group (p = 0.027) and were associated with shorter progression-free survival (p = 0.036). Signature weighting analysis showed a significant increase in Signature.3, which is associated with homologous recombination repair deficiency in the chemotherapy-sensitive group (p = 0.045). Conversely, signatures related to effective DNA repair mechanisms, Signature.1 and Signature.15, were significantly reduced (p = 0.002 and p < 0.001, respectively). Kyoto Encyclopedia of Genes and Genomes pathway analysis indicated that gene mutations were significantly enriched in the JAK-STAT signaling pathway.

This study, through intergroup comparative analysis, found that immunotherapy (using programmed death 1/programmed death-ligand 1 inhibitors) may improve the prognosis of patients with short survival and chemotherapy resistance. Additionally, the study revealed that mutations in BCL9L and WHSC1 could serve as biomarkers for breast cancer prognosis, while CRTC1 mutations and Signature.3 could predict chemotherapy response. The study also found that the JAK-STAT pathway might be a potential therapeutic target for chemotherapy resistance. Therefore, this study identifies molecular characteristics that influence the prognosis of breast cancer patients, providing important theoretical insights for the development of personalized treatment strategies.

Stroke refers to an abrupt neurological deficit, caused by an acute focal injury of the central nervous system via infarction or hemorrhage due to impaired vascularity, and remains among the leading causes of disability and death worldwide. Stroke is often preceded by an episode of neuronal deficit termed transient ischemic attack (TIA), which presents an effective opportunity for mitigating the risk of an eminent acute ischemic stroke (AIS). Circulating non-coding RNAs (ncRNAs) have emerged as important biomarkers for stroke, but PIWI-interacting RNAs (piRNAs), a class of small regulatory ncRNAs, have not been previously explored as diagnostic or prognostic biomarkers for stroke.

We conducted comprehensive circulating piRNA profiling of AIS and TIA patients using RNA-seq on serum samples collected within 24 h of clinical diagnosis. The study cohort was divided into discovery and cross-validation datasets to identify replicated piRNAs using stringent analysis cut-offs. The expression levels of the panel of differentially regulated piRNAs between AIS and TIA patients were also compared with healthy controls.

We identified a panel of 10 differentially regulated piRNAs between AIS and TIA patients; hsa-piR-28272, -piR-32972, -piR-28247, -piR-24553, -piR-24552, -piR-28275, -piR-28707 and -piR-32882 were upregulated, while hsa-piR-23058 and -piR-23136 were downregulated in AIS patients. Moreover, these 10 piRNAs were also differentially expressed in AIS patients compared to healthy controls. In addition, we investigated the potential gene targets of the dysregulated piRNAs and their plausible involvement in pathophysiological processes affected in stroke.

The imbalances in the circulating piRnome of AIS and TIA patients presented herein provide important insights into the roles of piRNAs following ischemic brain injury and potentially provide opportunities to mitigate stroke-induced mortality and morbidity.

Variations in the TP53 and KRAS genes indicate a particularly adverse prognosis in relapsed pediatric T-cell acute lymphoblastic leukemia (T-ALL). We hypothesized that these variations might be subclonally present at disease onset and contribute to relapse risk. To test this, we examined 2 cohorts of children diagnosed with T-ALL: cohort 1 with 81 patients who relapsed and 79 who matched nonrelapsing controls, and cohort 2 with 226 consecutive patients, 30 of whom relapsed. In cohort 1, targeted sequencing revealed TP53 clonal and subclonal variants in 6 of 81 relapsing patients but none in the nonrelapsing group (P = .014). KRAS alterations were found in 9 of 81 relapsing patients compared with 2 of 79 nonrelapsing patients (P = .032). Survival analysis showed that none of the relapsed patients with TP53 and/or KRAS alterations survived, whereas 19 of 67 relapsed patients without such variants did, with a minimum follow-up time of 3 years (P = .023). In cohort 2, none of the relapsing patients but 10 of 196 nonrelapsing patients carried TP53 or KRAS variants, indicating that mutation status alone does not predict poor prognosis. All 10 nonrelapsing patients with mutations had a favorable early treatment response. Among the total cohort of 386 patients, 188 showed poor treatment response, of whom 69 relapsed. Of these poor responders, 9 harbored TP53 or KRAS variants. In conclusion, subclonal TP53 and KRAS alterations identified at the time of initial diagnosis, along with a poor treatment response, characterize a subset of children with T-ALL who face a dismal prognosis and who may benefit from alternative treatment approaches.

This study was to investigated the inhibitory role of the tumour protein p53 (TP53)-activated PGM5-AS1 in lung cancer (LC) cell proliferation, invasion, and CSC-like properties and its underlying mechanisms.

The effect of PGM5-AS1 on LC cell development was determined. Stem cell markers, aldehyde dehydrogenase activity in cells were tested, as well as the ability of stem cells to form spheroids. The interaction of PGM5-AS1 and TP53 was determined. The binding link of PGM5-AS1, miR-1247-5p, and R-spondin1 (RSPO1) was verified.

PGM5-AS1 was elevated by a combination of TP53 and PGM5-AS1 promoters. PGM5-AS1 was a molecular sponge of miR-1247-5p in LC cells, and miR-1247-5p targeted RSPO1. Elevating PGM5-AS1 or repressing miR-1247-5p restrained LC cell growth and stemness, which were reversed by depression of RSPO1.

This study conveys that TP53-elevated PGM5-AS1 mediates miR-1247-5p to target RSPO1, thereby inhibiting LC growth and stemness, representing a novel avenue for LC therapy.

Accurate identification of single-nucleotide variants (SNVs) is paramount for disease diagnosis. Despite the facile design of DNA hybridization probes, their limited specificity poses challenges in clinical applications. Here, a differential reaction pathway probe (DRPP) based on a dynamic DNA reaction network is presented. DRPP leverages differences in reaction intermediate concentrations between SNV and WT groups, directing them into distinct reaction pathways. This generates a strong pulse-like signal for SNV and a weak unidirectional increase signal for wild-type (WT). Through the application of machine learning to fluorescence kinetic data analysis, the classification of SNV and WT signals is automated with an accuracy of 99.6%, significantly exceeding the 80.7% accuracy of conventional methods. Additionally, sensitivity for variant allele frequency (VAF) is enhanced down to 0.1%, representing a ten-fold improvement over conventional approaches. DRPP accurately identified D614G and N501Y SNVs in the S gene of SARS-CoV-2 variants in patient swab samples with accuracy over 99% (n = 82). It determined the VAF of ovarian cancer-related mutations KRAS-G12R, NRAS-G12C, and BRAF-V600E in both tissue and blood samples (n = 77), discriminating cancer patients and healthy individuals with significant difference (p < 0.001). The potential integration of DRPP into clinical diagnostics, along with rapid amplification techniques, holds promise for early disease diagnostics and personalized diagnostics.

Hepatocellular carcinoma (HCC), the most common form of primary liver cancer, is a leading cause of cancer-related mortality worldwide1,2. HCC occurs typically from a background of chronic liver disease, caused by a spectrum of predisposing conditions. Tumour development is driven by the expansion of clones that accumulate progressive driver mutations3, with hepatocytes the most likely cell of origin2. However, the landscape of driver mutations in HCC is broadly independent of the underlying aetiologies4. Despite an increasing range of systemic treatment options for advanced HCC, outcomes remain heterogeneous and typically poor. Emerging data suggest that drug efficacies depend on disease aetiology and genetic alterations5,6. Exploring subtypes in preclinical models with human relevance will therefore be essential to advance precision medicine in HCC7. Here we generated a suite of genetically driven immunocompetent in vivo and matched in vitro HCC models. Our models represent multiple features of human HCC, including clonal origin, histopathological appearance and metastasis. We integrated transcriptomic data from the mouse models with human HCC data and identified four common human-mouse subtype clusters. The subtype clusters had distinct transcriptomic characteristics that aligned with the human histopathology. In a proof-of-principle analysis, we verified response to standard-of-care treatment and used a linked in vitro-in vivo pipeline to identify a promising therapeutic candidate, cladribine, that has not previously been linked to HCC treatment. Cladribine acts in a highly effective subtype-specific manner in combination with standard-of-care therapy.

Gastric cancer (GC) is one of the leading causes of cancer-related mortality worldwide, characterised by poor prognosis and limited responsiveness to chemotherapy. There is a need for new and more effective anticancer agents. Antimicrobial peptides (AMPs) represent a promising class of biomolecules for this purpose. Naturally occurring in the innate immune system, these peptides can also exert cytotoxic effects against cancer cells, earning them the designation of "anticancer peptides" (ACPs). They have the potential to be a viable support for current chemotherapy schedules due to their selectivity against cancer cells and minor propensity to induce chemoresistance in cells. Insects are an excellent source of AMPs. Among them, due to its ability to thrive in hostile and microorganism-rich environments, we isolated a peptide fraction from Hermetia illucens L. (Diptera: Stratiomyidae) haemolymph to evaluate a possible anticancer activity. We tested Peptide Fractions (PFs) against AGS and KATO III gastric cancer cell lines. Data obtained indicated that PFs, especially those resulting from Escherichia coli and Micrococcus flavus infection (to boost immune response), were able to inhibit tumour cell growth by inducing apoptosis or cell cycle arrest in a cell line-specific manner. These results support further investigation into the use of antimicrobial peptides produced from insects as possible anticancer agents.

The tumor-suppressive function of p53 is frequently disrupted by mutations in cancers. Missense mutant p53 (mutp53) protein often stabilizes and accumulates to high levels in cancers to promote tumorigenesis through the gain-of-function (GOF) mechanism. Currently, the mechanism of mutp53 accumulation and GOF is incompletely understood. Here, we identify the lipogenic enzyme FASN as an important regulator of mutp53 accumulation and GOF. FASN interacts with mutp53 to enhance mutp53 palmitoylation, which inhibits mutp53 ubiquitination to promote mutp53 accumulation and GOF. Blocking FASN genetically or by small-molecule inhibitors suppresses mutp53 palmitoylation to inhibit mutp53 accumulation, which in turn inhibits the growth of mutp53 tumors in orthotopic and subcutaneous xenograft tumor models and transgenic mice, as well as the growth of human tumor organoids carrying mutp53. Our results reveal that mutp53 palmitoylation is an important mechanism underlying mutp53 accumulation and GOF, and targeting FASN is a potential therapeutic strategy for cancers carrying mutp53.

Mutations in the TP53 gene and chromosomal instability (CIN) are two of the most common alterations in cancer. CIN, marked by changes in chromosome numbers and structure, drives tumor development, but is poorly tolerated in healthy cells, where developmental and tissue homeostasis mechanisms typically eliminate cells with chromosomal abnormalities. Mechanisms that allow cancer cells to acquire and adapt to CIN remain largely unknown. Tumor suppressor protein p53, often referred to as the "guardian of the genome", plays a critical role in maintaining genomic stability. In cancer, CIN strongly correlates with TP53 mutations, and recent studies suggest that p53 prevents the propagation of cells with abnormal karyotypes arising from mitotic errors. Furthermore, p53 dysfunction is frequent in cells that underwent whole-genome doubling (WGD), a process that facilitates CIN onset, promotes aneuploidy tolerance, and is associated with poor patient prognosis across multiple cancer types. This review summarizes current insights into p53's role in protecting cells from chromosome copy number alterations and discusses the implications of its dysfunction for the adaption and propagation of cancer cells.

The canonical model of tumor suppressor gene (TSG)-mediated oncogenesis posits that loss of both alleles is necessary for inactivation. Here, through allele-specific analysis of sequencing data from 48,179 cancer patients, we define the prevalence, selective pressure for, and functional consequences of biallelic inactivation across TSGs. TSGs largely assort into distinct classes associated with either pan-cancer (Class 1) or lineage-specific (Class 2) patterns of selection for biallelic loss, although some TSGs are predominantly monoallelically inactivated (Class 3/4). We demonstrate that selection for biallelic inactivation can be utilized to identify driver genes in non-canonical contexts, including among variants of unknown significance (VUSs) of several TSGs such as KEAP1. Genomic, functional, and clinical data collectively indicate that KEAP1 VUSs phenocopy established KEAP1 oncogenic alleles and that zygosity, rather than variant classification, is predictive of therapeutic response. TSG zygosity is therefore a fundamental determinant of disease etiology and therapeutic sensitivity.

Gliomas, highly aggressive tumors of the central nervous system, present overwhelming challenges due to their heterogeneity and therapeutic resistance. Glioblastoma multiforme (GBM), the most malignant form, underscores this clinical urgency due to dismal prognosis despite aggressive treatment regimens. Recent advances in cancer research revealed signaling pathways and epigenetic mechanisms that intricately govern glioma progression, offering multifaceted targets for therapeutic intervention. This review explores the dynamic interplay between signaling events and epigenetic regulation in the context of glioma, with a particular focus on the crucial roles played by non-coding RNAs (ncRNAs). Through direct and indirect epigenetic targeting, ncRNAs emerge as key regulators shaping the molecular landscape of glioblastoma across its various stages. By dissecting these intricate regulatory networks, novel and patient-tailored therapeutic strategies could be devised to improve patient outcomes with this devastating disease.

The transcription factor p53 plays a key role in the cellular defense against cancer development. It is inactivated in virtually every tumor, and in every second tumor this inactivation is due to a mutation in the TP53 gene. In this perspective, we show that this diverse mutational spectrum is unique among all other cancer-associated proteins and discuss what drives the selection of TP53 mutations in cancer. We highlight that several factors conspire to make the p53 protein particularly vulnerable to inactivation by the mutations that constantly plague our genome. It appears that the TP53 gene has emerged as a victim of its own evolutionary past that shaped its structure and function towards a pluripotent tumor suppressor, but came with an increased structural fragility of its DNA-binding domain. TP53 loss of function - with associated dominant-negative effects - is the main mechanism that will impair TP53 tumor suppressive function, regardless of whether a neomorphic phenotype is associated with some of these variants.

Cervical cancer (CC) poses a persistent global health challenge, and it increases the mortality risk among women. P53 gene plays a pivotal role in CC regulation; yet, a comprehensive exploration of its expression levels and prognostic relevance is not fully understood.

The aim of this research was to utilize bioinformatics analysis on publicly available patient data to investigate and understand the expression patterns of the TP53 gene in CC.

The study utilizes the TIMER 2.0 and UALCAN databases to assess TP53 expression and its relationship with immune cell infiltration in CC. Additionally, genetic alterations in TP53 are explored using the cBioPortal database. Functional enrichment analysis unveils the molecular processes associated with TP53. Kaplan-Meier analysis examines TP53 prognostic significance.

The study reveals that TP53 expression is significantly up regulated in CC, potentially driven by genetic alterations. TP53 expression positively correlates with immune cell infiltration, including CD8 + T cells, CD4 + T cells, neutrophils, and macrophages, suggesting its role in shaping the tumor microenvironment. Functional analysis identifies TP53 involvement in essential cellular processes, including chromatin assembly, DNA conformation change, and carbohydrate kinase activity. Kaplan-Meier analysis highlights the prognostic significance of TP53, showing a poorer overall survival in CC patients with high TP53 expression.

The results underscore the prognostic potential of P53 in CC and its utility as a biomarker for assessing prognosis associated to tumor-immune infiltration. This study provides valuable insights into the multifaceted role of P53 in cervical carcinogenesis and its implications for therapeutic interventions and personalized medicine.

The p53 protein is a tumor-suppressing transcription factor that is critical in tumorigenesis. While TP53 mutations are rare in differentiated thyroid cancer (DTC), they are significantly more common in anaplastic thyroid cancer (ATC). This study presents original results and a meta-analysis reevaluating the prognostic value of TP53 mutations in thyroid cancer, including surrogate markers such as immunohistochemical p53 expression and serum p53-Abs levels. TP53 mutations were analyzed using SSSP and direct sequencing in a DTC group (15 patients), an ATC group (3 patients), and a control group (25 patients). The immunohistochemical p53 expression was assessed in tissue samples. A meta-analysis of 14 eligible studies identified through the PubMed, Scopus, Google Scholar, and Cochrane databases was conducted. Our results showed TP53 mutations in all ATC cases, 6.67% of DTC cases (1 out of 15), and none in the control group. Immunohistochemical p53 overexpression was observed in 4 out of 15 DTC (26.67%) and all ATC cases but absent in controls. A meta-analysis confirmed that TP53 mutations are significantly more frequent in ATC than controls (OR 8.95; 95% CI: 1.36-58.70; p = 0.02) but not in DTC vs. controls (OR 1.87; 95% CI: 0.53-6.58; p = 0.33). p53 overexpression was significantly higher in both DTC and ATC vs. controls (OR 7.99; 95% CI: 5.11-12.51; p < 0.01 and OR 64.37; 95% CI: 27.28-151.89; p < 0.01, respectively). The serum p53-Abs positivity was also elevated in patients with PTC vs. controls (OR 2.07; 95% CI: 1.24-3.47; p < 0.01). TP53 mutations are frequent events in the pathogenesis of ATC. In DTC, further prospective studies are needed to determine the prognostic value of TP53 mutations and related surrogate markers (immunohistochemical p53 expression, p53-Abs positivity).

Prostate cancer is one of the most prevalent malignant tumors in men, particularly in regions with a high Human Development Index. While the long-term survival rate for localized prostate cancer is relatively high, the mortality rate remains significantly elevated once the disease progresses to advanced stages, even with various intensive treatment modalities. The primary obstacle to curing advanced prostate cancer is the absence of comprehensive treatment strategies that effectively target the highly heterogeneous tumors at both genetic and molecular levels. Prostate cancer development is a complex, multigenic, and multistep process that involves numerous gene mutations, alteration in gene expression, and changes in signaling pathways. Key genetic and pathway alterations include the amplification and/or mutation of the androgen receptor, the loss of Rb, PTEN, and p53, the activation of the WNT signaling pathway, and the amplification of the MYC oncogene. This review summarizes the mechanisms by which these genes influence the progression of prostate cancer and highlights the interactions between multiple genes and their relationship with prostate cancer. Additionally, we reviewed the current state of treatments targeting these genes and signaling pathways, providing a comprehensive overview of therapeutic approaches in the context of prostate cancer.

Endometrial Cancer (EC) is one of the most common gynecological malignancies, ranking first in developed countries and regions. The occurrence and development of EC is closely associated with genetic mutations. TP53 mutation, in particular, can lead to the dysfunction of numerous regulatory factors and alteration of the tumor microenvironment (TME). The changes in the TME subsequently promote the development of tumors and assist in immune escape by tumor cells, making it more challenging to treat EC and resulting in a poor prognosis. Therefore, it is important to understand the effects of TP53 mutation in EC and to conduct further research in relation to the targeting of TP53 mutations. This article reviews current research progress on the role of TP53 mutations in regulating the TME and in the mechanism of EC tumorigenesis, as well as progress on drugs that target TP53 mutations.

Circular RNAs play an important role in regulating lung adenocarcinoma (LUAD). Bioinformatics analysis identified circ_0015278 as differentially expressed in LUAD. However, the biological mechanism of circ_0015278 in LUAD has not been fully clarified, especially in ferroptosis.

Bioinformatics analysis was employed to explore the downstream mechanisms of Circ_0015278, subsequently confirmed by luciferase reporter assays. The impact of Circ_0015278 on cell proliferation, migration, invasion, and ferroptosis was investigated through a loss-of-function experiment. A xenotransplantation mouse model elucidated the effect of Circ_0015278 on tumour growth.

Circ_0015278 exhibited downregulation in LUAD. It inhibited cell proliferation, migration, and invasion while promoting ferroptosis by interacting with miR-1228 to regulate P53 expression through a competitive endogenous RNA mechanism. Moreover, circ_0015278 suppressed tumour growth in mice.

Circ_0015278 was identified as a novel factor promoting ferroptosis in LUAD. Furthermore, it suppressed the malignant progression of LUAD through the miR-1228/P53 axis.

P53, a key tumor suppressor gene, usually produces mtp53 proteins with oncogenic functions due to missense mutations in the DNA-binding domain. P53 is the most commonly mutated gene in osteosarcoma and plays an important role in the development and metastasis of osteosarcoma. The ubiquitin proteasome system is an evolutionarily conserved post-translational modification that regulates a variety of disease processes, including tumors. Researches have shown that RFWD2, as a function of an E3 ubiquitin ligase, plays an important role in regulating tumor progression. However, the biological function of RFWD2 in osteosarcoma cells with different p53 status remains to be clarified. Initially, we found that sarcoma patients with high levels of RFWD2 expression tended to have shorter overall survival time by analyzing UALCAN-TCGA data. Subsequently, we used CCK-8, colony formation, Transwell, and xenograft methods to confirm that RFWD2 acts as an oncogene, regulating the proliferation and invasion of osteosarcoma cells (HOS(p53mut/-), U2OS(p53wt/wt) and Saos-2(p53-/-) cells) with different p53 status. Further co-IP experiments showed that in HOS(p53mut/-) and U2OS(p53wt/wt) cells, RFWD2 binds to p53 and participate in tumor progression. In addition, we demonstrated through both in vitro and in vivo experiments that RFWD2 regulates the sensitivity of osteosarcoma cells to CDDP. In conclusion, our study demonstrates that RFWD2 acts as an oncogene regulating osteosarcoma cell proliferation and sensitivity to CDDP. Our findings provide a new perspective and potential therapeutic target for the treatment of osteosarcoma.

All 11 metallothionein protein-coding genes are located on human chromosome 16q13. It is unique among human genetics to have an entire pathway's genes clustered in a short chromosomal region. Since solid tumors, particularly high-grade serous ovarian cancer (HGSC), exhibit high rates of monoallelic aneuploidy, this region is commonly lost. Studies have not yet been performed to determine what vulnerability may be created in cancer cells with low metallothionein expression. Here, a screen of FDA-approved cancer small molecule drugs for those best targeting low metallothionein ovarian cancer was completed.

Screening methods were tested and compared using vehicle-treated negative controls and cadmium chloride, a positive control for cell loss selective for low metallothionein cells. CAOV3 cells, which are unique in their expression of only two metallothionein isoforms, were used, with or without shRNA knockdown of the predominantly expressed MT2A gene. A library of FDA-approved molecules was then screened.

The optimal assay utilized Hoechst 33342 nuclear staining and mechanized fluorescent microscope counting of cell content. Encorafenib, an RAF inhibitor, was identified as the most selective for enhanced cytotoxicity in MT2A knockdown cells compared to scrambled controls.

The nuclear stain Hoechst 33342, assessed by fluorescence microscopy, provides a low variance, moderate throughput platform for cancer cell loss screens. Low metallothionein ovarian cancer cells exhibit a vulnerability to the RAF inhibitor encorafenib.

To explore tyrosine metabolism-related characteristics in liver hepatocellular carcinoma (LIHC) and to establish a risk signature for the prognostic prediction of LIHC. Novel prognostic signatures contribute to the mining of novel biomarkers, which are essential for the construction of a precision medicine system for LIHC and the improvement of survival.

Tyrosine metabolism plays a critical role in the initiation and development of LIHC. Based on the tyrosine metabolism-related characteristics in LIHC, this study developed a risk signature to improve the prognostic prediction of patients with LIHC.

To investigate the correlation between tyrosine metabolism and progression of LIHC and to develop a tyrosine metabolism-related prognostic model.

Gene expression and clinicopathological information of LIHC were obtained from The Cancer Genome Atlas (TCGA) database. Distinct subtypes of LIHC were classified by performing consensus cluster analysis on the tyrosine metabolism-related genes. Univariate and Lasso Cox regression were used to develop a RiskScore prognosis model. Kaplan-Meier (KM) survival analysis with log-rank test and area under the curve (AUC) of receiver operating characteristic (ROC) were employed in the prognostic evaluation and prediction validation. Immune infiltration, tyrosine metabolism score, and pathway enrichment were evaluated using single-sample gene set enrichment analysis (ssGSEA). Finally, a nomogram model was developed with the RiskScore and other clinicopathological features.

Based on the tyrosine metabolism genes in the TCGA cohort, we identified 3 tyrosine metabolism-related subtypes showing significant prognostic differences. Four candidate genes selected from the common differentially expressed genes (DEGs) between the 3 subtypes were used to develop a RiskScore model, which could effectively divide LIHC patients into high- and lowrisk groups. In both the training and validation sets, high-risk patients tended to have worse overall survival, less active immunotherapy response, higher immune infiltration and clinical grade, and higher oxidative, fatty, and xenobiotic metabolism pathways. Multivariate analysis confirmed that the RiskScore was an independent indicator for the prognosis of LIHC. The results from pan-- cancer analysis also supported that the RiskScore had a strong prognostic performance in other cancers. The nomogram demonstrated that the RiskScore contributed the most to the prediction of LIHC prognosis.

Our study developed a tyrosine metabolism-related risk model that performed well in survival prediction, showing the potential to serve as an independent prognostic predictor for LIHC treatment.

The tumour suppressor factor p53 plays an essential role in regulating numerous cellular processes, including the cell cycle, DNA repair, apoptosis, autophagy, cell metabolism and immune response. TP53 is the most commonly mutated gene in human cancers. These mutations are primarily non‑synonymous changes that produce mutant p53 proteins characterized by loss of function, a dominant negative effect on p53 tetramerisation and gain of function (GOF). GOF mutations not only disrupt the tumour‑suppressive activities of p53 but also endow the mutant proteins with new oncogenic properties. Recent studies analysing different pathogenic features of mutant p53 in cancer‑derived cell lines have demonstrated that restoring wild‑type p53, rather than removing GOF mutations, reduces cancer cell growth. These findings suggest that therapeutic strategies for reactivating wild‑type p53 function in cancer cells may bring a greater benefit than approaches halting mutant p53. This approach could involve the use of small molecules, gene therapy and other methods to re‑establish wild‑type p53 activity. This review describes the complexity of the biological activities of different p53 mutants and summarizes the current therapeutic approaches to restore p53 function.

The mutational landscape of TP53, a tumor suppressor mutated in about half of all cancers, includes over 2,000 known missense mutations. To fully leverage TP53 mutation status for personalized medicine, a thorough understanding of the functional diversity of these mutations is essential. We conducted a deep mutational scan using saturation genome editing with CRISPR-mediated homology-directed repair to engineer 9,225 TP53 variants in cancer cells. This high-resolution approach, covering 94.5% of all cancer-associated TP53 missense mutations, precisely mapped the impact of individual mutations on tumor cell fitness, surpassing previous deep mutational scan studies in distinguishing benign from pathogenic variants. Our results revealed even subtle loss-of-function phenotypes and identified promising mutants for pharmacological reactivation. Moreover, we uncovered the roles of splicing alterations and nonsense-mediated messenger RNA decay in mutation-driven TP53 dysfunction. These findings underscore the power of saturation genome editing in advancing clinical TP53 variant interpretation for genetic counseling and personalized cancer therapy.

Genomic instability, a hallmark of cancer, is a direct consequence of the inactivation of the tumor suppressor protein p53. Genetically modified mouse models and human tumor samples have revealed that p53 loss results in extensive chromosomal abnormalities, from copy number alterations to structural rearrangements. In this perspective article we explore the multifaceted relationship between p53, genomic stability, and epigenetic control, highlighting its significance in cancer biology. p53 emerges as a critical regulator of DNA repair mechanisms, influencing key components of repair pathways and directly participating in DNA repair processes. p53 role in genomic integrity however extends beyond its canonical functions. p53 influences also epigenetic landscape, where it modulates DNA methylation and histone modifications. This epigenetic control impacts the expression of genes involved in tumor suppression and oncogenesis. Notably, p53 ability to ensure cellular response to DNA demethylation contributes to the maintenance of genomic stability by preventing unscheduled transcription of repetitive non-coding genomic regions. This latter indicates a causative relationship between the control of epigenetic stability and the maintenance of genomic integrity in p53-mediated tumor suppression. Understanding these mechanisms offers promising avenues for innovative therapeutic strategies targeting epigenetic dysregulation in cancer and emphasizes the need for further research to unravel the complexities of this relationship. Ultimately, these insights hold the potential to transform cancer treatment and prevention strategies.

In chronic lymphocytic leukemia, the reliability of next-generation sequencing (NGS) to detect TP53 variants ≤10% allelic frequency (low-VAF) is debated. We tested the ability to detect 23 such variants in 41 different laboratories using their NGS method of choice. The sensitivity was 85.6%, 94.5%, and 94.8% at 1%, 2%, and 3% VAF cut-off, respectively. While only one false positive (FP) result was reported at >2% VAF, it was more challenging to distinguish true variants <2% VAF from background noise (37 FPs reported by 9 laboratories). The impact of low-VAF variants on time-to-second-treatment (TTST) and overall survival (OS) was investigated in a series of 1092 patients. Among patients not treated with targeted agents, patients with low-VAF TP53 variants had shorter TTST and OS versus wt-TP53 patients, and the relative risk of second-line treatment or death increased continuously with increasing VAF. Targeted therapy in ≥2 line diminished the difference in OS between patients with low-VAF TP53 variants and wt-TP53 patients, while patients with high-VAF TP53 variants had inferior OS compared to wild type-TP53 cases. Altogether, NGS-based approaches are technically capable of detecting low-VAF variants. No strict threshold can be suggested from a technical standpoint, laboratories reporting TP53 mutations should participate in a standardized validation set-up. Finally, whereas low-VAF variants affected outcomes in patients receiving chemoimmunotherapy, their impact on those treated with novel therapies remains undetermined. Our results pave the way for the harmonized and accurate TP53 assessment, which is indispensable for elucidating the role of TP53 mutations in targeted treatment.