<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Zhu H</submitter><funding>Science and Technology Plan Project of Taizhou</funding><pagination>739</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11615178</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>15(1)</volume><pubmed_abstract>Disulfidptosis is a newfound programmed cell death (PCD) mode characterized by disulfide stress. Nevertheless, the characteristics and functional significance of disulfidptosis-related genes in head and neck squamous cell carcinoma (HNSCC) are still largely unknown. In this study, several computer-aided bioinformatic analyses were performed. The Nonnegative Matrix Factorization (NMF) method classified The Cancer Genome Atlas (TCGA) patients into two clusters according to the expression of disulfidptosis-related genes. The relative compositions of cells in the tumor microenvironment (TME), mutant landscape, lasso regression analysis, and predicted clinical outcome were performed by analyzing bulk RNA-sequencing data. Besides, single-cell sequencing data (scRNA) was analyzed by Seurat, CopyK</pubmed_abstract><journal>Discover oncology</journal><pubmed_title>The characteristics and functional significance of disulfidptosis-related genes in head and neck squamous cell carcinoma.</pubmed_title><pmcid>PMC11615178</pmcid><funding_grant_id>23ywa20</funding_grant_id><pubmed_authors>Hu C</pubmed_authors><pubmed_authors>Zhao C</pubmed_authors><pubmed_authors>Zhang Z</pubmed_authors><pubmed_authors>Zhu H</pubmed_authors><pubmed_authors>Xu X</pubmed_authors></additional><is_claimable>false</is_claimable><name>The characteristics and functional significance of disulfidptosis-related genes in head and neck squamous cell carcinoma.</name><description>Disulfidptosis is a newfound programmed cell death (PCD) mode characterized by disulfide stress. Nevertheless, the characteristics and functional significance of disulfidptosis-related genes in head and neck squamous cell carcinoma (HNSCC) are still largely unknown. In this study, several computer-aided bioinformatic analyses were performed. The Nonnegative Matrix Factorization (NMF) method classified The Cancer Genome Atlas (TCGA) patients into two clusters according to the expression of disulfidptosis-related genes. The relative compositions of cells in the tumor microenvironment (TME), mutant landscape, lasso regression analysis, and predicted clinical outcome were performed by analyzing bulk RNA-sequencing data. Besides, single-cell sequencing data (scRNA) was analyzed by Seurat, CopyK</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Dec</publication><modification>2025-04-04T00:45:51.21Z</modification><creation>2025-04-04T00:45:51.21Z</creation></dates><accession>S-EPMC11615178</accession><cross_references><pubmed>39625660</pubmed><doi>10.1007/s12672-024-01629-2</doi></cross_references></HashMap>