Identification of DNA methylation signature to predict prognosis in gastric adenocarcinoma

被引:18
|
作者
Hu, Sifeng [1 ]
Yin, Xiankun [1 ]
Zhang, Guangyong [2 ]
Meng, Fanmei [3 ]
机构
[1] Zoucheng Peoples Hosp, Dept Gen Surg, Zoucheng, Shandong, Peoples R China
[2] Shandong Univ, Dept Gen Surg, Qilu Hosp, Jinan, Shandong, Peoples R China
[3] Zoucheng Peoples Hosp, Dept Surg, Zoucheng 273500, Shandong, Peoples R China
关键词
DNA methylation genes signature; gastric adenocarcinoma; overall survival; PROMOTER METHYLATION; TUMOR-SUPPRESSOR; CANCER; ALPHA-1-ANTICHYMOTRYPSIN; ASSOCIATION; EXPRESSION; CARCINOMA; PATTERNS; SURVIVAL; MARKERS;
D O I
10.1002/jcb.28450
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Gastric adenocarcinoma is an important death-related cancer. To find factors related to survival and prognosis, and thus improve recovery prospects, a powerful signature is needed. DNA methylation plays an important role in gastric adenocarcinoma processes and development, and here we report on the search for a significant DNA methylation gene to aid with the earlier diagnosis of gastric adenocarcinoma patients. A Cox proportional risk regression analysis and random survival forest algorithm were used to analyze gastric adenocarcinoma patients' DNA methylation data from The Cancer Genome Atlas, a public database. DNA methylation gene signature consisting of five genes (SERPINA3, AP000357.4, GZMA, AC004702.2, and GREB1L) were selected. As the most accurate predictor, the area under the curve in the training and test group were 0.72 and 0.61, respectively. The signature was able to sort patients into high- and low-risk groups with meaningful overall survival rates (median: 18.36 vs 72.23 months, log-rank test, P<0.001) in the training group, which predictive ability was validated in a test data set (median: 25.56 vs 58.80 months, log-rank test, P<0.016). A multivariate Cox regression analysis showed the significant DNA methylation was an independent prediction prognostic factor for gastric adenocarcinoma patients. Functional analysis suggests that these signature genes may be related to pathways and biological processes associated with tumorigenesis. The significant DNA methylation gene could be a novel prediction and prognostic biomarker that both aids in the treatment and predicts the overall survival likelihoods of gastric adenocarcinoma patients.
引用
收藏
页码:11708 / 11715
页数:8
相关论文
共 50 条
  • [41] Identification of natural killer cell associated subtyping and gene signature to predict prognosis and drug sensitivity of lung adenocarcinoma
    Zhang, Dexin
    Zhao, Yujie
    FRONTIERS IN GENETICS, 2023, 14
  • [42] Identification of a DNA methylation signature to predict disease-free survival in locally advanced rectal cancer
    Gaedcke, Jochen
    Leha, Andreas
    Claus, Rainer
    Weichenhan, Dieter
    Jung, Klaus
    Kitz, Julia
    Grade, Marian
    Wolff, Hendrik A.
    Jo, Peter
    Doyen, Jerome
    Gerard, Jean-Pierre
    Johnsen, Steven A.
    Plass, Christoph
    Beissbarth, Tim
    Ghadimi, Michael
    ONCOTARGET, 2014, 5 (18) : 8123 - 8135
  • [43] Identification of a lysosome-related prognostic signature to predict prognosis, tumor microenvironment and therapeutic responses in lung adenocarcinoma
    Jingze Yan
    Zeyuan Liu
    Xinchen Sun
    Xiaojie Xia
    Clinical Cancer Bulletin, 4 (1):
  • [44] DNA methylation molecular subtypes for prognosis prediction in lung adenocarcinoma
    Duoduo Xu
    Cheng Li
    Youjing Zhang
    Jizhou Zhang
    BMC Pulmonary Medicine, 22
  • [45] DNA methylation molecular subtypes for prognosis prediction in lung adenocarcinoma
    Xu, Duoduo
    Li, Cheng
    Zhang, Youjing
    Zhang, Jizhou
    BMC PULMONARY MEDICINE, 2022, 22 (01)
  • [46] Systematic Identification of Methylation Sites Associated with Lung Adenocarcinoma Prognosis
    Shi, X.
    Dong, X.
    Zhai, J.
    Liu, X.
    Lu, D.
    Ni, Z.
    Chen, A.
    Cai, K.
    JOURNAL OF THORACIC ONCOLOGY, 2021, 16 (03) : S535 - S535
  • [47] An Immunity-Associated lncRNA Signature for Predicting Prognosis in Gastric Adenocarcinoma
    Zhao, Xiaowen
    Wu, Pingfan
    Liu, Dongling
    Li, Changtian
    Xue, Ling
    Liu, Zhe
    Zhu, Meng
    Yang, Jie
    Chen, Ziyi
    Li, Yaling
    She, Yali
    JOURNAL OF HEALTHCARE ENGINEERING, 2022, 2022
  • [48] A DNA methylation signature to improve survival prediction of gastric cancer
    Yaojun Peng
    Qiyan Wu
    Lingxiong Wang
    Huan Wang
    Fan Yin
    Clinical Epigenetics, 2020, 12
  • [49] A DNA methylation signature to improve survival prediction of gastric cancer
    Peng, Yaojun
    Wu, Qiyan
    Wang, Lingxiong
    Wang, Huan
    Yin, Fan
    CLINICAL EPIGENETICS, 2020, 12 (01)
  • [50] DNA methylation patterns predict clinical outcome in esophageal adenocarcinoma
    Wajed, SA
    Long, TI
    Eads, CA
    Wickramasinghe, K
    Lord, RV
    Hagan, JA
    Peters, JH
    DeMeester, TR
    Laird, PW
    GASTROENTEROLOGY, 2001, 120 (05) : A31 - A31