Exploration of histone protein γ‐ H2AX as a prognostic factor in soft tissue sarcomas and its association with biological behavior, immune cell environment and survival in leiomyosarcoma
Year: 2024
Type: article
Study design: Observational Study
Abstract: This study evaluates the H2AX /γ‐H2AX expression in soft tissue sarcomas (STS), its implications for biological behavior and immune environment, and its potential as a prognostic biomarker. RNA‐Seq data from 237 STS were obtained from The Cancer Genome Atlas project. Patients were stratified by H2AX mRNA expression using a survival‐associated cutoff. Differentially expressed genes and pathways as well as immune signatures between H2AX high ‐ and H2AX low tumors were identified with DESeq2 analysis, gene set enrichment analyses (GSEA), Enrichr pathway analysis and CIBERSORTx. Tissue microarrays of a different cohort of 291 STS were generated for immunohistochemical staining to assess γ‐H2AX protein expression, followed by statistical evaluation. High H2AX mRNA expression was associated with shorter overall survival (OS) in STS ( p = 0.02), particularly in leiomyosarcomas (LMS) ( p < 0.001), and was a negative prognostic factor in LMS (HR 11.15, p < 0.001). H2AX high LMS tumors showed upregulation of cell cycle‐related pathways, while H2AX low LMS exhibited increased inflammatory activity, including elevated M1 macrophage signatures and resting mast cell signatures (both p < 0.001). High γ‐H2AX protein levels were an independent negative prognostic factor in the total LMS cohort (HR 12.12, p = 0.025) and in the subgroup of non‐uterine LMS (HR 153.80, p = 0.013). Consistent with CIBERSORTx analysis, γ‐H2AX low LMS showed higher mast cell infiltration than γ‐H2AX high LMS ( p = 0.038). In conclusion, H2AX mRNA and γ‐H2AX protein expression are associated with distinct biological behavior, differences in the immune cell environment, and might serve as useful prognostic biomarkers in LMS.
Source: International Journal of Cancer
DOI: 10.1002/ijc.35310
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,840
OpenAlex ID: W4405674832
