Pan-cancer analysis of the transcriptional expression of histone acetylation enzymes in solid tumors defines a new classification scheme for gliomas DOI Creative Commons
Junhao Zhang, Lingbo Li, Aiwei Tang

et al.

Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 21, 2025

Introduction The altered expression of genes encoding histone acetyltransferases (HATs) and deacetylases (HDACs) has been implicated in the tumorigenesis progression various solid tumors. However, systematic characterization transcriptomic landscape clinical relevance HATs HDACs pan-cancer contexts remains lacking. Methods Transcriptome data 9,483 patients across 31 tumor types from Cancer Genome Atlas were collected for analysis. Additional glioma-specific datasets (Chinese Glioma Atlas, GlioVis, GSE43378, GSE182109) also to validate transcriptional characteristics gliomas. Consensus clustering analysis was applied identify distinct patterns HDACs. Results Based on 25 9 16 HDACs, we identified five major subtypes cancer (AC-I AC-V). Notably, AC-V subtype comprised over 95% glioma patients, suggesting exhibited acetylation-modifying enzymes compared with other Therefore, re-conducted consensus specifically within context gliomas subtypes, denoted “AC-GI” “AC-GV”, which characterized by differences HATs/HDACs patterns, biological immune status, genetic alterations, outcomes. AC-GII best prognosis sensitive temozolomide, while AC-GV had poorest lowest sensitivity temozolomide among all subtypes. Moreover, based Connectivity Map database experimental verification, several pan-HDAC inhibitors that could serve as sensitizers therapy such panobinostat scriptaid. Considering distinctive AC-GV, constructed “ACG score” model capable effectively recognizing these predicting patient prognosis. Conclusion Herein, established novel biologically clinically relevant molecular classifications pan-solid tumors profiles ACG score model, calculated 29 genes, not only an independent prognostic factor but can provide valuable references promoting more effective therapeutic strategies.

Language: Английский

Pan-cancer analysis of the transcriptional expression of histone acetylation enzymes in solid tumors defines a new classification scheme for gliomas DOI Creative Commons
Junhao Zhang, Lingbo Li, Aiwei Tang

et al.

Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 21, 2025

Introduction The altered expression of genes encoding histone acetyltransferases (HATs) and deacetylases (HDACs) has been implicated in the tumorigenesis progression various solid tumors. However, systematic characterization transcriptomic landscape clinical relevance HATs HDACs pan-cancer contexts remains lacking. Methods Transcriptome data 9,483 patients across 31 tumor types from Cancer Genome Atlas were collected for analysis. Additional glioma-specific datasets (Chinese Glioma Atlas, GlioVis, GSE43378, GSE182109) also to validate transcriptional characteristics gliomas. Consensus clustering analysis was applied identify distinct patterns HDACs. Results Based on 25 9 16 HDACs, we identified five major subtypes cancer (AC-I AC-V). Notably, AC-V subtype comprised over 95% glioma patients, suggesting exhibited acetylation-modifying enzymes compared with other Therefore, re-conducted consensus specifically within context gliomas subtypes, denoted “AC-GI” “AC-GV”, which characterized by differences HATs/HDACs patterns, biological immune status, genetic alterations, outcomes. AC-GII best prognosis sensitive temozolomide, while AC-GV had poorest lowest sensitivity temozolomide among all subtypes. Moreover, based Connectivity Map database experimental verification, several pan-HDAC inhibitors that could serve as sensitizers therapy such panobinostat scriptaid. Considering distinctive AC-GV, constructed “ACG score” model capable effectively recognizing these predicting patient prognosis. Conclusion Herein, established novel biologically clinically relevant molecular classifications pan-solid tumors profiles ACG score model, calculated 29 genes, not only an independent prognostic factor but can provide valuable references promoting more effective therapeutic strategies.

Language: Английский

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