Expression Patterns of Histone Modification Regulators Predict Prognosis and Microenvironment Characteristics in Gastric Cancer
4 affiliations
- 1Department of Oncology Nanfang Hospital Southern Medical University Guangzhou China
- 2Affiliated Qingyuan Hospital Guangzhou Medical University Qingyuan People's Hospital Qingyuan Guangdong China
- 3Department of Anesthesiology Nanfang Hospital Southern Medical University Guangzhou China
- 4Medical Education Center Nanfang Hospital Southern Medical University Guangzhou China
Abstract
Multiple studies have demonstrated a significant correlation between histone modifications and tumour initiation and progression. However, it remains unclear whether the histone modification profile contributes to the classification of patients with gastric cancer (GC). After analysing transcriptomic data from 76 histone modification regulators (HMR), we identified four distinct patterns in 838 GC specimens. These patterns demonstrated associations with different prognoses, treatment responses, biological pathways, and tumour microenvironment characteristics. Therefore, we used the Least Absolute Shrinkage and Selection Operator (LASSO) regression and multivariate Cox regression analysis to explore GC's histone modification regulator characteristics and established a 10‐gene scoring scheme named “Histone Modification Regulator‐based Risk Score (HR_score)” to cluster tumours into high‐ and low‐risk subtypes. Patients with high scores are characterised by increased stromal cell infiltration and exhibit the activation of innate immunity. These observations may be linked to the immune‐exclusion phenotype and a poor prognosis. Further analysis revealed a direct correlation between higher HR_score and diminished response to adjuvant chemotherapy and immunotherapy treatments. In summary, this study indicates that HR_score can serve as a robust prognostic tool for GC, which can effectively perform patient risk stratification and predict treatment response, providing potential value for guiding individualised treatment strategies.
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BibTeX
@article{huang2026expression,
title = {{Expression Patterns of Histone Modification Regulators Predict Prognosis and Microenvironment Characteristics in Gastric Cancer}},
author = {Yue Huang and Ya Gao and Fuli Xie and Xiaoxiang Rong and Rui Zhou and Zhenhua Huang and Kuncai Liu and Jiayun Guan and Zewei Li and Siting Zheng and Jianhua Wu and Guangting He and Yanhua Ou and Huiying Sun},
journal = {IET Systems Biology},
year = {2026},
month = nov,
doi = {10.1049/syb2.70089},
url = {https://doi.org/10.1049/syb2.70089},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Expression Patterns of Histone Modification Regulators Predict Prognosis and Microenvironment Characteristics in Gastric Cancer
AU - Yue Huang
AU - Ya Gao
AU - Fuli Xie
AU - Xiaoxiang Rong
AU - Rui Zhou
AU - Zhenhua Huang
AU - Kuncai Liu
AU - Jiayun Guan
AU - Zewei Li
AU - Siting Zheng
AU - Jianhua Wu
AU - Guangting He
AU - Yanhua Ou
AU - Huiying Sun
PY - 2026
DA - 2026/11/04
JO - IET Systems Biology
DO - 10.1049/syb2.70089
UR - https://doi.org/10.1049/syb2.70089
AB - Multiple studies have demonstrated a significant correlation between histone modifications and tumour initiation and progression. However, it remains unclear whether the histone modification profile contributes to the classification of patients with gastric cancer (GC). After analysing transcriptomic data from 76 histone modification regulators (HMR), we identified four distinct patterns in 838 GC specimens. These patterns demonstrated associations with different prognoses, treatment responses, biological pathways, and tumour microenvironment characteristics. Therefore, we used the Least Absolute Shrinkage and Selection Operator (LASSO) regression and multivariate Cox regression analysis to explore GC's histone modification regulator characteristics and established a 10‐gene scoring scheme named “Histone Modification Regulator‐based Risk Score (HR_score)” to cluster tumours into high‐ and low‐risk subtypes. Patients with high scores are characterised by increased stromal cell infiltration and exhibit the activation of innate immunity. These observations may be linked to the immune‐exclusion phenotype and a poor prognosis. Further analysis revealed a direct correlation between higher HR_score and diminished response to adjuvant chemotherapy and immunotherapy treatments. In summary, this study indicates that HR_score can serve as a robust prognostic tool for GC, which can effectively perform patient risk stratification and predict treatment response, providing potential value for guiding individualised treatment strategies.
SN - 1751-8849
SN - 1751-8857
ER -