Project description:ObjectiveDisulfidptosis is a newly discovered disulfide stress-induced cell death form. Clinical significance and biological mechanisms of disulfidptosis in human cancers need to be further elucidated. Thus, this study was designed to characterize pan-cancer landscape of disulfidptosis across human tumors.MethodsMulti-omics features (transcriptomics, genomics, and DNA methylation) of disulfidptosis genes were investigated in TCGA pan-cancer cohorts. A disulfidptosis score system was defined across human tumors via ssGSEA. The activity of classical oncogenic pathways and hallmarks of cancer as well as the infiltration of immunocyte subpopulations were estimated, respectively. Drug sensitivity was inferred, and immune checkpoint blockade (ICB) response was evaluated in an independent cohort IMvigor210. ACHN, CAL-27, and NCI-H23 cells were transiently transfected with GYS1 siRNAs, and cell apoptosis and proliferation were measured through TUNEL and EdU assays, respectively.ResultsAberrant mRNA expression and DNA methylation of disulfidptosis genes as well as their genomic alterations were found in human tumors. The disulfidptosis score was utilized for quantifying the activity of disulfidptosis, which enabled to estimate patient prognosis. The disulfidptosis score presented positive correlations to angiogenesis and EMT, indicating the role of disulfidptosis in mediating tumor malignant features. Moreover, the score was negatively linked with infiltrating immune and stromal cells in the immune microenvironment. In the ICB cohort, shorter survival time was observed in patients with high disulfidptosis score, indicating the potential of disulfidptosis score in influencing clinical benefits from ICB. Additionally, tumors with low disulfidptosis score exhibited higher sensitivity to a few small molecular compounds, e.g., Sabutoclax, PRIMA-1MET, BIBR-1532, and Elephantin. Knockdown of disulfidptosis gene GYS1 effectively hindered tumor progression.ConclusionCollectively, our findings depict a pan-cancer map of disulfidptosis to inform functional and therapeutic research.

Project description:BackgroundIn recent years, it has been proved that necroptosis plays an important role in the occurrence, development, invasion, metastasis and drug resistance of malignant tumors. Hence, further evaluation and targeting of necroptosis may be of clinical benefit for gynecologic cancers (GCs).MethodsTo compare consistency and difference, we explored the expression pattern and prognostic value of necroptosis-related genes (NRGs) in pan-GC analysis through Linear regression and Empirical Bayesian, Univariate Cox analysis, and public databases from TCGA and Genotype-Tissue Expression (GTEx), including CESC, OV, UCEC, and UCS. We explored the copy number variation (CNV), methylation level and enrichment pathways of NRGs in the four GCs. Based on LASSO Cox regression analysis or principal component analysis, we established the prognostic NRG-signature or necroptosis-score for the four GCs. In addition, we predicted and compared functional pathways, tumor mutational burden (TMB), somatic mutation features, immunity status, immunotherapy, chemotherapeutic drug sensitivity of the NRG-signature based on NRGs. We also examined the expression level of several NRGs in OV samples that we collected using Quantitative Real-time PCR.ResultsWe confirmed the presence of NRGs in expression, prognosis, CNV, and methylation for four GCs, thus comparing the consistency and difference among the four GCs. The prognosis and independent prognostic value of the risk signatures based on NRGs were determined. Through the results of subclass mapping, we found that GC patients with lower risk score may be more sensitive to PDL1 response and more sensitive to immune checkpoint blockade therapy. Drug susceptibility analysis showed that, 51, 45, 64, and 29 drugs with differences between risk groups were yielded in CESC, OV, UCEC, and UCS respectively. For OV, the expression differences of several NRGs in the tissues we collected were similar to that in TCGA.ConclusionOur comprehensive analysis of NRGs and NRG-signature demonstrated their similarity and difference, as well as their potential roles in prognosis and could guide therapeutic strategies, thus improving the outcome of GC patients.

Project description:Background The TYMP gene encodes an important nucleoside metabolism enzyme which is a rate-limiting enzyme for chemotherapeutic drug metabolism. Previous studies have shown that TYMP is highly expressed in many different tumors, promoting invasiveness and progression, and that it helps to predict the response to chemotherapeutic drugs. However, the role of TYMP in tumor immunity and prognosis remains largely unclear. The purpose of this pan-cancer analysis was to acquire more data on the function of TYMP function and its clinical significance. Methods To access the TYMP expression, we accessed datasets from The Cancer Genome Atlas (TCGA), Oncomine, Gene Expression Profiling Interactive Analysis (GEPIA), Cancer Cell Line Encyclopedia (CCLE) databases, and analyzed its differential expression between paired tumor and normal samples. We employed PrognoScan and Kaplan-Meier plotter for survival analyses. TYMP mutations were analyzed using cBioPortal. Correlations of TYMP with tumor stage, tumor mutational burden (TMB), microsatellite instability (MSI), immune checkpoint genes (ICGs), and immune cell infiltration were estimated via bioinformatics tools and methods. The CellMiner database was used to predict drug response. Gene set enrichment analysis (GSEA) was applied to explore the biological functions of TYMP in different tumors. Results Our results indicated that TYMP was overexpressed and also significantly associated with a worse prognosis in several human cancers, such as kidney clear cell carcinoma (KIRC) and lower grade glioma (LGG). TYMP was also associated with TMB, MSI, and ICGs across a variety of malignancies. TYMP was most significantly correlated with immune cell infiltration in five tumors, namely, breast cancer (BRCA), cervical cancer (CESC), KIRC, skin cutaneous melanoma (SKCM), and stomach adenocarcinoma (STAD). Moreover, TYMP expression predicted sensitivity to chemotherapy drugs and also influenced relevant biological pathways, according to enrichment analysis. Conclusions According to the results of this comprehensive analysis, TYMP is associated with prognosis and tumor immunology, which might make it be a potential therapeutic target for cancer treatment.

Project description:BackgroundPrevious studies have reported the potential of aryl hydrocarbon receptor (AhR) in cancer immunotherapy. However, the mechanisms underpinning its therapeutic value have yet to be comprehensively investigated. Thus, this research aimed to explore the underlying association between AhR and cancer immunotherapy in 33 human cancers.MethodsThe gene expression data and clinical characteristics of 33 cancers were retrieved from The Cancer Genome Atlas database. The immunotherapeutic cohorts included GSE67501 and GSE78220 as well as IMvigor210, which were obtained from the Gene Expression Omnibus database and included in a previously published study respectively. Clinical parameters, including patient age, gender, survival, and tumor stage were analyzed to assess the prognostic value of AhR. The activity of AhR was generated by single sample gene set enrichment analysis and used to evaluate the difference between the AhR transcriptome and protein expression level. To better understand the role of AhR in cancer immunotherapy, the correlation between AhR and tumor microenvironment, as well as its relation to immune processes/elements, such as immune cell infiltration, immune inhibitors and stimulators, and the major histocompatibility complex were analyzed. The relevant underlying pathways associated with AhR signaling in cancer were also explored. Furthermore, the correlation between AhR and two immunotherapeutic biomarkers (tumor mutational burden and microsatellite instability) was investigated. Finally, the relationship between AhR and immunotherapeutic response was explored using three independent immunotherapeutic cohorts.ResultsAlthough AhR was not closely associated with age (5/33), gender (3/33), or tumor stage (3/21) in any of the studied human cancers, it exhibited potential prognostic value for predicting patient survival. Consistency has been observed between AhR activity and expression in some cancers (7/33). Generally, AhR presented a robust correlation with immune cell infiltration, immune modulators, and immunotherapeutic markers. Moreover, high AhR expression was significantly related to immune-relevant pathways. However, no significant correlation was observed between AhR and the immunotherapeutic response.ConclusionsThis research investigated the immunotherapeutic value of AhR in 33 human cancers, providing evidence regarding the function of AhR and its role in clinical treatment. However, considering that a bioinformatics approach was adopted, the current results are preliminary and require further validation.

Project description:Growing evidence has shown the oncogenic function of matrix metallopeptidase 7 (MMP7) in various tumors. However, no systemic pan-cancer analysis on the association between MMP7 and different cancers based on big clinical data is available. TIMER2, GEPIA2, UALCAN, cBioPortal, String, Metascape, and other web databases were searched in the present study. Generally, MMP7 expression is significantly upregulated in most The Cancer Genome Atlas (TCGA) cancer types compared to the paired normal controls, yet is downregulated in tumor tissues of invasive breast carcinoma (BRCA), kidney chromophobe (KICH), kidney renal clear cell carcinoma (KIRC), liver hepatocellular carcinoma (LIHC), and skin cutaneous melanoma (SKCM). MMP7 protein expression is notably higher in the primary tumor tissues of colon cancer, lung adenocarcinoma (LUAD), and uterine corpus endometrial carcinoma (UCEC) than in normal tissues and is significantly lower in the primary tumor tissues of breast cancer, clear cell renal carcinoma, and ovarian cancer. Furthermore, MMP7 expression is strongly associated with pathological stages, clinical outcomes, tumor mutational burden (TMB), and microsatellite instability (TSI). Gene amplification was detected in most TCGA cancer types. In addition, the missense mutation is the primary type of MMP7 genetic alteration in tumors. Significant positive correlations between MMP7 expression and cancer-associated fibroblasts (CAFs) have been demonstrated in most TCGA cancers. MMP7 expression was also found to be positively correlated with infiltration of dendritic cells and macrophages in some specific tumor types. Functional enrichment analysis by the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and gene ontology (GO) methods revealed that RNA processing and DNA damage checkpoints might reveal the pathogenetic mechanisms of MMP7. This pan-cancer analysis provides a clear panorama for the tumorigenic roles of MMP7 across different cancer types. Moreover, MMP7 could be a potential drug therapeutic target in such cancers.

Project description:BackgroundENOPH1 (Enolase-phosphatase 1), a member of the HAD-like hydrolase superfamily, has been linked to a range of physiological conditions, including neurological disorders. However, its involvement in tumorigenesis remains underexplored. This study is the first to conduct a pan-cancer analysis of ENOPH1, aiming to elucidate its role in multiple cancers through various bioinformatics platforms.MethodsWe conducted a thorough analysis using data from UCSC databases. ENOPH1 expression in tumor and normal tissues was evaluated using R language software. Survival analyses, genetic alterations, and RNA modifications were assessed through the GEPIA2 and cBioPortal platforms. The relationships between ENOPH1 and immune infiltration, tumor mutational burden (TMB), microsatellite instability (MSI), and homologous recombination deficiency (HRD) were examined using TIMER2 and R software. ENOPH1-related gene enrichment analysis was performed using the STRING and GEPIA2 databases, followed by Gene Ontology (GO) and KEGG pathway enrichment analyses.ResultsENOPH1 expression was significantly upregulated in various cancers, including ACC, BLCA, BRCA, and COAD. High ENOPH1 expression was associated with poor overall survival (OS) in cancers such as KICH, LIHC, BRCA and LUAD. High ENOPH1 expression was associated with poor disease specific survival (DSS) in cancers such as KICH, LIHC, BRCA and MESO. Genetic alterations of ENOPH1, primarily mutations and deep deletions, were identified in UCEC, BLCA, and OV. ENOPH1 showed significant correlations with RNA modifications (m1A, m5C, m6A), immune checkpoints, and immune modulators across multiple cancer types. ENOPH1 was positively correlated with TMB, MSI, and HRD in cancers like BLCA, BRCA, and STAD. Furthermore, enrichment analysis revealed that ENOPH1 interacts with proteins involved in critical pathways such as AMPK, Hippo, and PI3K-AKT, suggesting its role in cancer progression.ConclusionThis pan-cancer analysis reveals ENOPH1's potential as a prognostic biomarker and its involvement in key signaling pathways across multiple cancers. Our findings provide new insights into the role of ENOPH1 in tumorigenesis and highlight its potential as a therapeutic target in cancer treatment.

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Comprehensive characterization of cell disulfidptosis in human cancers: An integrated pan-cancer analysis

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