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Title:
Gene expression profiling and pathway analysis in head and neck squamous cell carcinoma: focus on disulfidptosis | Discover Oncology
Description:
This study aimed to characterize the prognostic and therapeutic implications of disulfidptosis-related genes (DRGs) in head and neck squamous cell carcinoma (HNSCC). Using multi-omics data from the Cancer Genome Atlas (TCGA) (n = 500) and Gene Expression Omnibus (GEO) cohorts (n = 270), we performed unsupervised consensus clustering, functional enrichment, immune deconvolution, and survival analyses to identify DRG-driven molecular subtypes. A disulfidptosis score (DRGscore) was developed via principal component analysis of prognosis-associated genes and validated across immunotherapy cohorts. Key results revealed eight DRGs with prognostic significance (P < 0.05), including RAC1 and SLC7A11, which form interaction networks linked to redox regulation and immune evasion. Four DRGclusters stratified patients into subgroups with distinct survival outcomes (P = 0.002), immune profiles, and pathway activities. DRGscore effectively predicted survival (P < 0.001), immunotherapy response (anti-PD1/PD-L1 cohorts: P = 0.0099–0.018), and drug sensitivity (A443654 IC50 = 0.12 μM vs. AICAR = 8.3 μM). Mutational profiling identified TP53 and MUC16 as high-risk biomarkers. These findings establish DRGscore as a robust prognostic tool integrating disulfidptosis biology and immune contexture, enabling risk-stratified therapeutic strategies for HNSCC.
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Keywords {🔍}
pubmed, article, cell, analysis, immune, google, scholar, genes, fig, cancer, survival, gene, cas, data, prognostic, hnscc, expression, head, neck, carcinoma, subtypes, squamous, correlation, central, disulfidptosis, clusters, disulfidptosisrelated, score, patients, identified, package, drgs, enrichment, drgscore, immunotherapy, clinical, supplementary, full, therapeutic, functional, analyses, molecular, drgclusters, cells, pathways, infiltration, drg, size, material, cohorts,
Topics {✒️}
anti-pd-1/pd-l1 agents anti-pd1/pd-l1 cohorts integrating multi-omics analyses minimal mhc-ii involvement deg-related gene-cluster subtypes article download pdf disulfidptosis-related prognostic model hpv/ebv integration signatures lrpprc-exhibit prognostic relevance potentiating anti-pd-1 efficacy middle-income countries due risk-subtype-survival relationships lrpprc/nckap1-suggest coordinated regulation hpv-related molecular classifications early-stage hepatocellular carcinoma pd-l1-mediated immunosuppression disulfide-centric interaction network platform-specific annotation files disulfidptosis-related gene signatures sex-specific immune modulation disulfidptosis-related lncrna signature mrna stemness indices univariate cox regression rna-based liquid biopsy observed gene–gene interactions yueyang central hospital leveraging immune-active subtypes drg-driven subtypes overlap neck squamous carcinoma univariate regression analysis tumor cell migration interferon-γ/α signaling multi-omics analyses supplementary figures s1-s2 kaplan–meier survival analysis gene expression profiling inter-subtype survival differences immune-related functional activities high/low-risk groups myc-driven metabolic reprogramming high/low-risk cohorts intrinsic/acquired resistance mechanisms exosome rna profiling emphasized epidermal differentiation myeloid-derived suppressor cells harboring advanced-stage patients multi-omics data inputted gene set expression network analysis hnscc tumor-initiating cells
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headline:Gene expression profiling and pathway analysis in head and neck squamous cell carcinoma: focus on disulfidptosis
description:This study aimed to characterize the prognostic and therapeutic implications of disulfidptosis-related genes (DRGs) in head and neck squamous cell carcinoma (HNSCC). Using multi-omics data from the Cancer Genome Atlas (TCGA) (n = 500) and Gene Expression Omnibus (GEO) cohorts (n = 270), we performed unsupervised consensus clustering, functional enrichment, immune deconvolution, and survival analyses to identify DRG-driven molecular subtypes. A disulfidptosis score (DRGscore) was developed via principal component analysis of prognosis-associated genes and validated across immunotherapy cohorts. Key results revealed eight DRGs with prognostic significance (P < 0.05), including RAC1 and SLC7A11, which form interaction networks linked to redox regulation and immune evasion. Four DRGclusters stratified patients into subgroups with distinct survival outcomes (P = 0.002), immune profiles, and pathway activities. DRGscore effectively predicted survival (P < 0.001), immunotherapy response (anti-PD1/PD-L1 cohorts: P = 0.0099–0.018), and drug sensitivity (A443654 IC50 = 0.12 μM vs. AICAR = 8.3 μM). Mutational profiling identified TP53 and MUC16 as high-risk biomarkers. These findings establish DRGscore as a robust prognostic tool integrating disulfidptosis biology and immune contexture, enabling risk-stratified therapeutic strategies for HNSCC.
datePublished:2025-04-18T00:00:00Z
dateModified:2025-04-18T00:00:00Z
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license:http://creativecommons.org/licenses/by-nc-nd/4.0/
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keywords:
Head and neck squamous cell carcinoma (HNSCC)
Disulfidptosis-related genes (DRGs)
Prognostic model
Immunotherapy response
Drug sensitivity
Oncology
Cancer Research
Surgical Oncology
Molecular Medicine
Radiotherapy
Internal Medicine
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headline:Gene expression profiling and pathway analysis in head and neck squamous cell carcinoma: focus on disulfidptosis
description:This study aimed to characterize the prognostic and therapeutic implications of disulfidptosis-related genes (DRGs) in head and neck squamous cell carcinoma (HNSCC). Using multi-omics data from the Cancer Genome Atlas (TCGA) (n = 500) and Gene Expression Omnibus (GEO) cohorts (n = 270), we performed unsupervised consensus clustering, functional enrichment, immune deconvolution, and survival analyses to identify DRG-driven molecular subtypes. A disulfidptosis score (DRGscore) was developed via principal component analysis of prognosis-associated genes and validated across immunotherapy cohorts. Key results revealed eight DRGs with prognostic significance (P < 0.05), including RAC1 and SLC7A11, which form interaction networks linked to redox regulation and immune evasion. Four DRGclusters stratified patients into subgroups with distinct survival outcomes (P = 0.002), immune profiles, and pathway activities. DRGscore effectively predicted survival (P < 0.001), immunotherapy response (anti-PD1/PD-L1 cohorts: P = 0.0099–0.018), and drug sensitivity (A443654 IC50 = 0.12 μM vs. AICAR = 8.3 μM). Mutational profiling identified TP53 and MUC16 as high-risk biomarkers. These findings establish DRGscore as a robust prognostic tool integrating disulfidptosis biology and immune contexture, enabling risk-stratified therapeutic strategies for HNSCC.
datePublished:2025-04-18T00:00:00Z
dateModified:2025-04-18T00:00:00Z
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Head and neck squamous cell carcinoma (HNSCC)
Disulfidptosis-related genes (DRGs)
Prognostic model
Immunotherapy response
Drug sensitivity
Oncology
Cancer Research
Surgical Oncology
Molecular Medicine
Radiotherapy
Internal Medicine
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