ATHENA: an independently validated autophagy-related epigenetic prognostic prediction model of head and neck squamous cell carcinoma

Clinical Epigenetics

Research

Yunjie Song¹  Maojie Xue¹  Xinxin Kong¹  Jiajin Chen¹  Ruyang Zhang²  Changyue Xue³  Xinlei Chen⁴  Lin Qiu⁴  Ziang Xu⁴  Mingzhu Geng⁴  Wei Zhang⁴  Xiaomeng Song⁵ 

[1] Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, SPH Building Room 406, 101 Longmian Avenue, 211166, Nanjing, Jiangsu, China;Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, SPH Building Room 406, 101 Longmian Avenue, 211166, Nanjing, Jiangsu, China;China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing, China;Changzhou Medical Center, Nanjing Medical University, 213164, Changzhou, Jiangsu, China;Jiangsu Key Laboratory of Oral Diseases, Nanjing Medical University, 136 Hanzhong Road, 210029, Nanjing, Jiangsu, China;Department of Implant Dentistry, Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, Jiangsu, China;Jiangsu Key Laboratory of Oral Diseases, Nanjing Medical University, 136 Hanzhong Road, 210029, Nanjing, Jiangsu, China;Department of Oral Special Consultation, Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, Jiangsu, China;Jiangsu Key Laboratory of Oral Diseases, Nanjing Medical University, 136 Hanzhong Road, 210029, Nanjing, Jiangsu, China;Department of Oral and Maxillofacial Surgery, Affiliated Hospital of Stomatology, Nanjing Medical University, Nanjing, Jiangsu, China;

关键词: Head and neck squamous cell carcinoma;    DNA methylation;    Gene–gene interaction;    Autophagy;    Prognostic prediction;    Immune landscape;   

DOI  :  10.1186/s13148-023-01501-0

 received in 2022-11-16, accepted in 2023-05-09,  发布年份 2023

来源: Springer

【 摘 要 】

The majority of these existing prognostic models of head and neck squamous cell carcinoma (HNSCC) have unsatisfactory prediction accuracy since they solely utilize demographic and clinical information. Leveraged by autophagy-related epigenetic biomarkers, we aim to develop a better prognostic prediction model of HNSCC incorporating CpG probes with either main effects or gene–gene interactions. Based on DNA methylation data from three independent cohorts, we applied a 3-D analysis strategy to develop An independently validated auTophagy-related epigenetic prognostic prediction model of HEad and Neck squamous cell carcinomA (ATHENA). Compared to prediction models with only demographic and clinical information, ATHENA has substantially improved discriminative ability, prediction accuracy and more clinical net benefits, and shows robustness in different subpopulations, as well as external populations. Besides, epigenetic score of ATHENA is significantly associated with tumor immune microenvironment, tumor-infiltrating immune cell abundances, immune checkpoints, somatic mutation and immunity-related drugs. Taken together these results, ATHENA has the demonstrated feasibility and utility of predicting HNSCC survival (http://bigdata.njmu.edu.cn/ATHENA/).

【 授权许可】

CC BY   
© The Author(s) 2023

【 图 表 】

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