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ATHENA：一个独立验证的与自噬相关的头颈部鳞状细胞癌表观遗传预后预测模型。

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

机构信息

Jiangsu Key Laboratory of Oral Diseases, Nanjing Medical University, 136 Hanzhong Road, Nanjing, 210029, Jiangsu, China.

Department of Oral Special Consultation, Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.

出版信息

Clin Epigenetics. 2023 Jun 9;15(1):97. doi: 10.1186/s13148-023-01501-0.

DOI:10.1186/s13148-023-01501-0
PMID:37296474
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10257287/
Abstract

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/ ).

摘要

这些现有的头颈部鳞状细胞癌（HNSCC）预后模型大多数预测准确性都不理想，因为它们仅利用人口统计学和临床信息。我们利用自噬相关的表观遗传生物标志物，旨在开发一种更好的 HNSCC 预后预测模型，该模型结合了具有主要效应或基因-基因相互作用的 CpG 探针。基于来自三个独立队列的 DNA 甲基化数据，我们应用了 3-D 分析策略来开发一个独立验证的自噬相关表观遗传预测 HNSCC 预后的模型（ATHENA）。与仅具有人口统计学和临床信息的预测模型相比，ATHENA 具有显著提高的判别能力、预测准确性和更多的临床净收益，并且在不同的亚人群以及外部人群中表现出稳健性。此外，ATHENA 的表观遗传评分与肿瘤免疫微环境、肿瘤浸润免疫细胞丰度、免疫检查点、体细胞突变和免疫相关药物显著相关。总的来说，这些结果表明 ATHENA 具有预测 HNSCC 生存的可行性和实用性（http://bigdata.njmu.edu.cn/ATHENA/）。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4335/10257287/90cfe7753588/13148_2023_1501_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4335/10257287/5c803a6ec629/13148_2023_1501_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4335/10257287/2fe6e3df23d6/13148_2023_1501_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4335/10257287/a7b1393d8545/13148_2023_1501_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4335/10257287/1678e49ffafd/13148_2023_1501_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4335/10257287/77c1abf08b7a/13148_2023_1501_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4335/10257287/6e1b62ccf10e/13148_2023_1501_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4335/10257287/3f8932ae5269/13148_2023_1501_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4335/10257287/86e64a0b8cdb/13148_2023_1501_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4335/10257287/90cfe7753588/13148_2023_1501_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4335/10257287/5c803a6ec629/13148_2023_1501_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4335/10257287/2fe6e3df23d6/13148_2023_1501_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4335/10257287/a7b1393d8545/13148_2023_1501_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4335/10257287/1678e49ffafd/13148_2023_1501_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4335/10257287/77c1abf08b7a/13148_2023_1501_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4335/10257287/6e1b62ccf10e/13148_2023_1501_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4335/10257287/3f8932ae5269/13148_2023_1501_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4335/10257287/86e64a0b8cdb/13148_2023_1501_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4335/10257287/90cfe7753588/13148_2023_1501_Fig9_HTML.jpg

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