BackgroundSERPINE1 has attracted considerable attention in tumor biology, but its clinical importance in head and neck squamous cell carcinoma (HNSCC) is not yet clear. We therefore examined whether SERPINE1 expression is related to survival in patients with HNSCC.MethodsWe searched three major databases (PubMed, EMBASE, and the Cochrane Library) and identified observational studies reporting survival outcomes in relation to SERPINE1 expression through November 11, 2024. From eligible reports we extracted data on progression-free survival (PFS), overall survival (OS), disease-specific survival (DSS) and disease-free survival (DFS), and calculated pooled hazard ratios (HRs) using random-effects models.ResultsEleven studies including 733 individuals with HNSCC met the inclusion criteria. Across these cohorts, higher SERPINE1 expression was consistently linked with shorter OS (HR 2.81, P = 0.003) and shorter DFS (HR 1.57, P = 0.004). In contrast, no clear associations were observed for PFS or DSS (P ≥ 0.05).ConclusionCurrent evidence suggests that increased SERPINE1 expression is associated with an unfavorable prognosis in HNSCC, particularly for OS and DFS. Larger prospective studies are needed to confirm these findings and to determine how SERPINE1 assessment might be incorporated into risk stratification and treatment planning for patients with HNSCC.

Background/Objective: Although most melanocytic lesions are diagnosed as benign or malignant by histopathologic evaluation, with or without the aid of immunohistochemistry, diagnosis may remain uncertain in a minority of cases. Assessment of copy number abnormalities (CNAs) may provide sufficient additional evidence to favor either a benign or malignant diagnosis in both pediatric and adult cases and in melanocytic lesions of various subtypes, including Spitzoid, mucosal, and acral. CNAs are common in melanomas, while they are rare, with few exceptions, in benign lesions. Detection of CNAs by fluorescence in situ hybridization (FISH) and chromosomal microarray (CMA) has been well established for melanocytic lesions, with advantages and disadvantages for each. The objective of this meta-analysis was to evaluate the utility of CNA testing for the diagnosis of melanoma, across subtypes, when a lesion remains ambiguous after histopathologic and immunohistochemical assessment. In addition, the utility of CNAs to determine prognosis in established diagnoses of melanoma was also evaluated. Methods: The Cancer Genomics Consortium Working Group for Melanocytic Lesions reviewed published data from January 1998 through September 2022 of CNAs in melanocytic lesions detected by either FISH or CMA and conducted a meta-analysis of the findings. Results: Specific abnormalities common in primary cutaneous melanomas of various subtypes and uveal melanomas were enumerated. Differences in CNAs found in primary versus metastatic lesions were also determined, and published evidence for prognosis was summarized. Conclusions: The working group established evidence-based recommendations for the use of CNA testing for evaluation of ambiguous melanocytic lesions.

L1 cell adhesion molecule (L1CAM) has emerged as a potential prognostic biomarker in endometrial cancer. This systematic review and meta-analysis aimed to comprehensively evaluate the prevalence of L1CAM expression across molecular subtypes of endometrial cancer and its prognostic significance for survival outcomes.

Leptomeningeal disease (LMD) is a devastating complication of advanced solid tumors with limited prognostic and response-assessment tools. Because LMD molecular evolution is frequently compartmentalized behind CNS barriers, cerebrospinal fluid (CSF) circulating tumor DNA (ctDNA) may provide CNS-specific molecular readouts of disease activity. We evaluated whether baseline CSF ctDNA profiles and longitudinal ctDNA kinetics associate with survival in LMD.

Metastatic castration-resistant prostate cancer (mCRPC) remains a clinically aggressive and lethal disease. Circulating tumor DNA (ctDNA), as a minimally invasive biomarker, has shown prognostic utility in several solid tumors. However, its clinical relevance in mCRPC has not been comprehensively elucidated.

Microsatellite instability (MSI), programmed death-ligand 1 (PD-L1) expression, and Epstein-Barr virus (EBV) positivity are emerging biomarkers in gastric cancer prognosis and treatment selection, particularly in immunotherapy. This review evaluates their prognostic significance through a systematic review and meta-analysis.

In proficient mismatch repair (pMMR) non metastatic rectal cancer, standard neoadjuvant chemoradiotherapy (nCRT) yields low pathological and clinical complete response rates. Early randomized trials suggest adding PD 1 inhibitors may increase response but randomized evidence has not been synthesized.

Breast cancer remains one of the most common types of cancer, including the subtype triple-negative breast cancer (TNBC) which is challenging to treat due to its aggressiveness. Cancer-testis antigens (CTAs), especially New York Esophageal Squamous Cell Carcinoma 1 (NY-ESO-1), have become promising immunotherapeutic targets attributable to their restricted expression profile in normal tissues but overexpressed in TNBC, leading to immunogenicity. This review provides comprehensive discussion of NY-ESO-1 including its structural basis of NY-ESO-1 recognition by T cell receptors (TCRs) and antibodies, epigenetic regulation via DNA methylation or histone modifications, and expression patterns or clinical relevance in TNBC. A systematic meta-analysis of 12 studies comprising 1,545 TNBC patients showed a pooled NY-ESO-1 expression prevalence of 16.1% (95% CI: 11.4-22.2%), with heterogeneity (I2=83.7%) attributable to antibody clone used for NY-ESO-1 detection (E978: 15.1% vs. D8.38: 32.6%, p<0.0001) and scoring methods (composite scoring: 15.9% vs. dual scoring: 16.9% vs. H-score: 10.1% vs. simple threshold: 32.6%, p<0.001). Structural analyses reveal NY-ESO-1157-165 recognition by TCRs, antibodies, and engineered binding scaffolds. We examine preclinical and clinical evidence for NY-ESO-1-targeted therapies, including adoptive cell therapy and peptide vaccines, which show manageable safety profiles and induce immunological responses. Epigenetic regulation is a therapeutic avenue, whereby hypomethylating agents and histone deacetylase inhibitors can upregulate NY-ESO-1 expressions that promote tumor immunogenicity. Nonetheless, challenges persist such as NY-ESO-1 expression heterogeneity, lack of TNBC-specific clinical trials, and inadequate immunogenicity. Future research should standardize NY-ESO-1 detection protocols to identify TNBC patients for NY-ESO-1-targeted immunotherapy, prioritize TNBC-specific trials and combinations with epigenetic priming agents.

Ovarian cancer (OC) remains one of the most lethal gynecologic malignancies, with nearly 80% of patients diagnosed at advanced stages due to the absence of early symptoms and the nonspecific nature of later clinical manifestations. This highlights the urgent need for robust molecular biomarkers that can refine patient stratification and guide personalized therapeutic approaches. A major determinant of OC aggressiveness is the epithelial-to-mesenchymal transition (EMT), a transcriptionally driven program that represses epithelial identity while promoting mesenchymal traits, thereby enhancing invasion, dissemination, recurrence, and resistance to therapy. EMT dysregulation is widespread in OC and fuels tumor heterogeneity, metastatic spread, and chemoresistance. To investigate the contribution of EMT-related genes in OC biology, we analyzed whole-genome sequencing and RNA-seq data from 419 patients in The Cancer Genome Atlas (TCGA) Pan-Cancer Atlas, assessing their genomic and transcriptomic alterations. We integrated these findings with transcriptomic and drug-sensitivity data from the CTRPv2 portal, performing Pearson correlation analyses to identify therapeutic vulnerabilities associated with EMT gene expression. Our analysis identifies recurrent genomic and transcriptomic alterations across several EMT-associated genes. Notably, we identified a four-EMT gene signature (EFNA1, OVOL2, GATA3, and DSG2) whose expression correlates with differential sensitivity to VEGFR and EGFR inhibitors in OC cell lines. Overall, these results suggest that EMT-driven molecular changes contribute to the onset and progression of OC and highlight a subset of EMT genes as promising predictive biomarkers for targeted therapy responses.

Colorectal cancer (CRC) remains a major global health burden, and genetic factors such as vitamin D receptor (VDR) polymorphisms have been implicated in its pathogenesis. However, the translational relevance of these variants in clinical risk stratification remains unclear.

The incidence and mortality of colorectal cancer (CRC) are steadily rising. Phosphatase-Tensin Homolog Deleted on Chromosome 10 (PTEN) expression is often dysregulated during tumourigenesis; however, its prognostic value in CRC remains debated. This study evaluated the correlation between PTEN expression and the clinicopathological characteristics of CRC patients, and its prognostic significance. A systematic literature review was conducted across Web of Science, PubMed, Cochrane Library, and CNKI up to June 2023. Thirteen studies with a total of 2,377 participants were included. PTEN expression was significantly lower in CRC tissues than in normal mucosa tissues. Positive PTEN expression was associated with better overall survival and favourable pathological features. No significant correlation was found with age, gender, differentiation grade, tumour size, or distant metastasis. Negative PTEN expression is a poor prognostic marker in CRC and may serve as a potential indicator for disease monitoring and outcome prediction. Key Words: PTEN, Colorectal cancer, Prognosis, Meta-analysis, Clinical characteristics.

Many studies using measured Body Mass Index (BMI) report an inverse association with lung cancer, but a few recent Mendelian randomization (MR) studies using genetically proxied BMI suggest a possible risk association. The aim of this study was to systematically evaluate and synthesize evidence on the association between lung cancer risk and both directly measured (i.e., clinically measured or self-reported) and genetically proxied BMI.

Neuroblastoma (NB) is the most prevalent extracranial solid tumor in children. Therefore, urgent exploration of novel therapeutic targets and more effective approaches is imperative to enhance the prognosis of these children.

Gliomas are intracranial tumors characterized by limited diagnostics and treatment approaches. Blood-circulating miRNAs represent a regulatory class of molecules that change their expression under pathological conditions and can relatively easily be detected. The present study evaluates the diagnostic potential of blood-circulating miRNAs in glioma. All grades of gliomas are included in the analysis. The articles were retrieved from the PubMed, Web of Science and Scopus databases up to October 2025. The studies were considered to be eligible if they used glioma patients and healthy controls and compared their miRNA levels, indicating sensitivity and specificity values. Risk of bias was assessed using the QUADAS-2 tool. The collected data was pooled by the STATA 19.0 MP bivariate random effects model and indicated heterogeneity using the I2 statistic value. To identify possible reasons for heterogeneity, we utilized subgroup analysis and meta-regression. Publication bias was assessed with Deeks' funnel plot, and the test diagnostic potential was evaluated with Fagan's nomogram. We analyzed 31 original reports covering 2299 glioma patients and 1719 healthy controls. A meta-analysis on 59 data points extracted from the analyzed papers was conducted. The combined pooled sensitivity was found to be equal to 0.83 (95%CI: 0.80-0.86), the specificity 0.88 (95%CI: 0.85-0.90), the positive likelihood ratio 6.7 (95%CI: 5.4-8.5), the negative likelihood ratio 0.19 (95%CI: 0.16-0.23), and the diagnostic odds ratio 35 (95%CI: 25-50). An SROC analysis revealed an AUC equal to 0.92 (95%CI: 0.90-0.94). The reported diagnostic parameters imply that blood-circulating miRNAs hold the potential to be developed into diagnostic biomarkers for glioma identification. However, the high heterogeneity in the analyzed studies suggests that the results should be considered as exploratory only.

The high prevalence (>5%) of autoimmune hypothyroidism (AIHT) provides a unique opportunity to dissect genetic contributions to systemic and organ-specific autoimmunity. Here we performed a genome-wide association meta-analysis of 81,718 AIHT cases in FinnGen and the UK Biobank, identifying 418 independent signals (P < 5 × 10-8). At 48 of these loci, a protein-coding variant is, or is highly correlated (r2 > 0.95) with, the lead variant, including Finnish-enriched coding variants in LAG3, ZAP70 and TG. We demonstrated that ZAP70:T155M reduces T cell activation and broadly compare large-scale scans of nonthyroid autoimmunity and thyroid-stimulating hormone levels with a Bayesian classifier to assign loci into distinct groupings, estimating that 38% are involved in general autoimmunity whereas 20% are thyroid specific. We further identified substantial antagonistic pleiotropy, with 10% of AIHT loci showing a consistent protective effect against skin cancer. The AIHT results, including numerous genes encoding checkpoint proteins, support the causal role of natural immune variation influencing cancer outcomes.

Mismatch repair deficiency (dMMR) and microsatellite instability (MSI-H) cancers exhibit high immunogenicity and are highly responsive to immune checkpoint inhibitors. In patients with locally advanced dMMR/MSI-H colorectal cancer (CRC), neoadjuvant immunotherapy (NIT) has demonstrated unprecedented pathological complete response (pCR) rates, suggesting nonoperative management strategies may be possible. There remains a discrepancy between radiological assessment and pathological responses to NIT in CRC.

Epstein-Barr virus (EBV)-associated nasopharyngeal carcinoma (NPC) is characterized by extensive immune infiltration, yet immune evasion remains a hallmark. In this study, we aimed to leverage publicly available datasets to identify EBV-host gene interactions and re-map their expression at single-cell resolution. We conducted a meta-analysis to identify differentially expressed genes, mapped these genes to EBV-host interaction data, constructed a network, and performed pathway enrichment. Single-cell RNA sequencing datasets were used to map these genes at cellular resolution. We analysed differences in cell cycle, immune signaling, cell-cell interactions, and assessed prognostic associations of UPS signature using the GEPIA2 platform. We identified 85 EBV-interacting DEGs regulated by lytic-phase proteins. Clustering highlighted genes related to the ubiquitin-proteasome system (UPS). Single-cell analyses confirmed elevated UPS-related gene expression in NPC. UPS-High cells exhibited lower proliferative activity, enriched stemness signaling, and reduced antigen presentation and immune activation, whereas UPS-Low cells showed marked upregulation of growth-promoting pathways. High UPS expression was associated with poorer outcomes in pan-cancer, head and neck squamous cell carcinoma, and marginally significant in the small NPC datasets. The proportion of UPS-High cells varied widely across patients. UPS activity, influenced by EBV lytic proteins, is linked to immune evasion, stemness, proliferation, and adverse prognosis. These findings support UPS as a potential biomarker and therapeutic target in NPC, warranting validation and functional studies.

The long non-coding RNA HOTAIR has been implicated in tumor initiation and progression, and multiple case-control studies have explored whether common HOTAIR single-nucleotide polymorphisms influence susceptibility to gastrointestinal (digestive system) malignancies. However, published findings remain inconsistent across populations and cancer types.

Antibody-related immune phenotypes reflect long-term host-pathogen interactions and immunogenetic regulation, and have been increasingly implicated in cancer susceptibility. In ovarian cancer, observational associations between immune responses and disease risk remain difficult to interpret due to confounding and potential reverse causation. Genetic analyses may help clarify whether specific antibody immune response profiles are linked to ovarian cancer risk. We investigated the associations between 46 genetically predicted antibody immune response phenotypes and ovarian cancer using a 2-sample Mendelian randomization framework. Genetic instruments for antibody traits were obtained from large genome-wide association studies, while ovarian cancer summary statistics were derived independently from the FinnGen R12 and OpenGWAS resources. Causal estimates were derived primarily using inverse-variance weighted models and subsequently synthesized across datasets to improve precision. Multiple testing adjustment was applied, and additional analyses were conducted to assess robustness and causal directionality. Across the evaluated antibody phenotypes, most showed no evidence of a causal association with ovarian cancer risk. After meta-analysis and correction for multiple comparisons, genetically predicted anti-polyomavirus 2 immunoglobulin G (IgG) seropositivity was associated with a modest increase in ovarian cancer risk (odds ratio = 1.062, 95% confidence interval: 1.027-1.099). Sensitivity analyses did not indicate substantial pleiotropic bias, and reverse-direction analyses provided no support for ovarian cancer influencing anti-polyomavirus 2 IgG levels. These findings suggest that genetic liability to anti-polyomavirus 2 IgG seropositivity, as a marker of immune response rather than active infection, is modestly associated with ovarian cancer risk in individuals of European ancestry. Although the effect size is small, the results highlight a potential role for antibody-mediated immune processes in ovarian cancer etiology and warrant further investigation in diverse populations and experimental settings.

Circulating tumor DNA (ctDNA) has emerged as a promising noninvasive biomarker for monitoring minimal residual disease (MRD) and predicting recurrence in early-stage breast cancer (EBC). Despite growing interest, the prognostic impact of ctDNA detection in this setting remains to be fully elucidated.