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泛癌中 m6A“读码器” YTH 家族的生物信息学分析作为临床预后生物标志物。

Bioinformatic analysis of m6A "reader" YTH family in pan-cancer as a clinical prognosis biomarker.

机构信息

Department of Urology, The Third Affiliated Hospital of Second Military Medical University, 700 North Moyu Road, Shanghai, 201805, China.

National Clinical Research Center for Child Health of the Children's Hospital, Zhejiang University School of Medicine, No. 3333, Binsheng Road, Hangzhou, 310052, China.

出版信息

Sci Rep. 2023 Oct 13;13(1):17350. doi: 10.1038/s41598-023-44143-1.

Abstract

The m6A methylation of mRNA has been demonstrated to interact with the "Reader". YTH domain family is one of the readers containing five members involved in the progression of multiple tumors. The present study aimed to explore the YTH family's role in seventeen cancer types. Data were downloaded from The Cancer Genome Atlas (TCGA) dataset and analyzed by Software R 3.6.3. Using different bioinformatics methods, including analyses of the overall survival (OS) and disease-free survival (DFS), Gene Set Variation Analysis (GSVA) enrichment. Genomics of Drug Sensitivity in Cancer (GDSC), CIBERSORT algorithm, multivariate and lasso cox regression analysis our results reveal that, while the expression of the YTH domain family varies distinctively in different cancer types the expression of YTH family is upregulated in most cancer types, especially in liver cancer, and the liver cancer prediction model established herein includes YTHDF1 and YTHDF2. Therefore, the results of the present study have demonstrated that the YTH domain family has the potential to predict the prognosis of cancer and the sensitivity to immunotherapy.

摘要

mRNA 的 m6A 甲基化已被证明与“读码器”相互作用。YTH 结构域家族是读码器家族之一,包含五个参与多种肿瘤进展的成员。本研究旨在探讨 YTH 家族在十七种癌症类型中的作用。从癌症基因组图谱(TCGA)数据集下载数据,并使用软件 R 3.6.3 进行分析。通过不同的生物信息学方法,包括总生存(OS)和无病生存(DFS)分析、基因集变异分析(GSVA)富集、癌症药物敏感性基因组学(GDSC)、CIBERSORT 算法、多变量和套索 cox 回归分析,我们的结果表明,尽管 YTH 结构域家族在不同的癌症类型中表达存在明显差异,但在大多数癌症类型中 YTH 家族的表达上调,尤其是在肝癌中,本研究建立的肝癌预测模型包括 YTHDF1 和 YTHDF2。因此,本研究的结果表明,YTH 结构域家族具有预测癌症预后和免疫治疗敏感性的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd9b/10575994/8c0e587666e0/41598_2023_44143_Fig1_HTML.jpg

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