A 3-DNA methylation signature as a novel prognostic biomarker in patients with sarcoma by bioinformatics analysis.

Content Provider	Europe PMC
Author	Wang, Xiao-Wei Sun, Qi Xu, Shi-Bin Xu, Chao Xia, Chen-Jie Zhao, Qi-Ming Zhang, Hua-Hui Tan, Wei-Qiang Zhang, Lei Yao, Shu-Dong
Editor	Niknamian., Sorush
Copyright Year	2021
Abstract	AbstractBackground:Tumor-specific DNA methylation can potentially be a useful indicator in cancer diagnostics and monitoring. Sarcomas comprise a heterogeneous group of mesenchymal neoplasms which cause life-threatening tumors occurring throughout the body. Therefore, potential molecular detection and prognostic evaluation is very important for early diagnosis and treatment.Methods:We performed a retrospective study analyzing DNA methylation of 261 patients with sarcoma from The Cancer Genome Atlas (TCGA) database. Cox regression analyses were conducted to identify a signature associated with the overall survival (OS) of patients with sarcoma, which was validated in a validation dataset.Results:Three DNA methylation signatures were identified to be significantly associated with OS. Kaplan–Meier analysis showed that the 3-DNA methylation signature could significantly distinguish the high- and low-risk patients in both training (first two-thirds) and validation datasets (remaining one-third). Receiver operating characteristic (ROC) analysis confirmed that the 3-DNA methylation signature exhibited high sensitivity and specificity in predicting OS of patients. Also, the Kaplan–Meier analysis and the area under curve (AUC) values indicated that the 3-DNA methylation signature was independent of clinical characteristics, including age at diagnosis, sex, anatomic location, tumor residual classification, and histological subtypes.Conclusions:The current study showed that the 3-DNA methylation model could efficiently function as a novel and independent prognostic biomarker and therapeutic target for patients with sarcoma.
ISSN	00257974
Journal	Medicine
Volume Number	100
PubMed Central reference number	PMC8137010
Issue Number	20
PubMed reference number	34011115
e-ISSN	15365964
DOI	10.1097/md.0000000000026040
Language	English
Publisher	Lippincott Williams & Wilkins
Publisher Date	2021-05-01
Publisher Place	Hagerstown, MD
Access Restriction	Open
Rights License	This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc.
Subject Keyword	DNA methylation prognosis model sarcoma signature The Cancer Genome Atlas
Content Type	Text
Resource Type	Article
Subject	Medicine