Identification and Validation of Constructing the Prognostic Model With Four DNA Methylation-Driven Genes in Pancreatic Cancer

被引:8
|
作者
Chen, Guangyu [1 ,2 ]
Long, Junyu [2 ,3 ]
Zhu, Ruizhe [1 ,2 ]
Yang, Gang [1 ,2 ]
Qiu, Jiangdong [1 ,2 ]
Zhao, Fangyu [1 ,2 ]
Liu, Yuezhe [1 ,2 ]
Tao, Jinxin [1 ,2 ]
Zhang, Taiping [1 ,2 ,4 ]
Zhao, Yupei [1 ,2 ]
机构
[1] Chinese Acad Med Sci, Peking Union Med Coll Hosp, Gen Surg Dept, State Key Lab Complex Severe & Rare Dis, Beijing, Peoples R China
[2] Peking Union Med Coll, Beijing, Peoples R China
[3] Chinese Acad Med Sci, Peking Union Med Coll Hosp, Dept Liver Surg, Beijing, Peoples R China
[4] Chinese Acad Med Sci, Clin Immunol Ctr, Beijing, Peoples R China
来源
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY | 2022年 / 9卷
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
pancreatic cancer; DNA methylation; nomogram; prognosis; The Cancer Genome Atlas; STATISTICS;
D O I
10.3389/fcell.2021.709669
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Background: Pancreatic cancer (PC) is a highly aggressive gastrointestinal tumor and has a poor prognosis. Evaluating the prognosis validly is urgent for PC patients. In this study, we utilized the RNA-sequencing (RNA-seq) profiles and DNA methylation expression data comprehensively to develop and validate a prognostic signature in patients with PC.Methods: The integrated analysis of RNA-seq, DNA methylation expression profiles, and relevant clinical information was performed to select four DNA methylation-driven genes. Then, a prognostic signature was established by the univariate, multivariate Cox, and least absolute shrinkage and selection operator (LASSO) regression analyses in The Cancer Genome Atlas (TCGA) dataset. GSE62452 cohort was utilized for external validation. Finally, a nomogram model was set up and evaluated by calibration curves.Results: Nine DNA methylation-driven genes that were related to overall survival (OS) were identified. After multivariate Cox and LASSO regression analyses, four of these genes (RIC3, MBOAT2, SEZ6L, and OAS2) were selected to establish the predictive signature. The PC patients were stratified into two groups according to the median risk score, of which the low-risk group displayed a prominently favorable OS compared with the high-risk group, whether in the training (p < 0.001) or validation (p < 0.01) cohort. Then, the univariate and multivariate Cox regression analyses showed that age, grade, risk score, and the number of positive lymph nodes were significantly associated with OS in PC patients. Therefore, we used these clinical variables to construct a nomogram; and its performance in predicting the 1-, 2-, and 3-year OS of patients with PC was assessed via calibration curves.Conclusion: A prognostic risk score signature was built with the four alternative DNA methylation-driven genes. Furthermore, in combination with the risk score, age, grade, and the number of positive lymph nodes, a nomogram was established for conveniently predicting the individualized prognosis of PC patients.
引用
收藏
页数:12
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