Signatures of H3K4me3 modification predict cancer immunotherapy response and identify a new immune checkpoint-SLAMF9
- Tao Fan 1, Chu Xiao 1, Ziqin Deng 1, Shuofeng Li 2, He Tian 1, Yujia Zheng 1, Bo Zheng 3, Chunxiang Li 4, Jie He 5
- Tao Fan 1, Chu Xiao 1, Ziqin Deng 1
- 1Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
- 2Department of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- 3Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
- 4Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. lichunxiang@cicams.ac.cn.
- 5Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. prof.jiehe@gmail.com.
- 0Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
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View abstract on PubMed
Summary
This summary is machine-generated.This study introduces a new H3K4me3 risk score to predict cancer immunotherapy response. This biomarker system, linked to tumor immune infiltration, shows promise in identifying patients likely to benefit from treatments like ICB therapy.
Area Of Science
- Epigenetics and Cancer Immunology
- Molecular Oncology
Background
- H3 lysine 4 trimethylation (H3K4me3) is a key epigenetic regulator of gene transcription in health and disease.
- The precise role of H3K4me3 modification in anti-tumor immunity remains incompletely understood.
- Understanding these regulatory mechanisms is crucial for developing novel cancer therapies.
Purpose Of The Study
- To investigate the relationship between H3K4me3 modification and anti-tumor immunity.
- To develop a predictive biomarker system for immunotherapy response based on H3K4me3-related genes.
- To explore the potential of SLAMF9 as a therapeutic target in cancer immunotherapy.
Main Methods
- Identified 72 prognostic genes in lung adenocarcinoma (LUAD) correlated with 27 H3K4me3 regulators.
- Constructed three H3K4me3 modification patterns and a H3K4me3 risk score (H3K4me3-RS) using principal component analysis (PCA).
- Validated H3K4me3-RS using deep learning on large cancer and immunotherapy cohorts, and employed a mice melanoma model.
Main Results
- H3K4me3 modification patterns correlated with distinct tumor immune infiltration profiles.
- H3K4me3-RS demonstrated significant correlation with cancer immune tolerance and sensitivity across multiple cancer types.
- H3K4me3-RS accurately predicted immunotherapy response, identifying SLAMF9 as an immunosuppressive gene associated with resistance.
- Slamf9 knockdown in a mouse model reduced tumor progression and enhanced anti-CTLA-4/anti-PD-L1 therapy efficacy.
Conclusions
- The developed H3K4me3 risk score system serves as a novel biomarker for predicting tumor immunotherapy response.
- SLAMF9 plays a critical role in immune evasion and immunotherapy resistance, suggesting its potential as a therapeutic target.
- This research provides a preclinical basis for targeting SLAMF9 to enhance cancer immunity and treatment outcomes.
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