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A novel CpG-based signature for survival prediction of lung adenocarcinoma patients
Rongjiong Zheng1, Haiqi Xu1, Wenjie Mao1
1Department of Pulmonology, Ningbo Yinzhou Second Hospital, Ningbo, Zhejiang 315192, P.R. China.
Abstract:
Lung adenocarcinoma (LACA) is the leading cause of cancer-associated death worldwide. The present study intended to identify DNA methylation patterns that may serve as diagnostic and prognostic biomarkers for LACA. Data on DNA methylation and the survival data of the patients of LACA were obtained from The Cancer Genome Atlas. Kaplan-Meier curves and receiver operating characteristic curve analysis were utilized to build diagnostic and prognostic models. A total of 13 CpG sites were identified and validated as the optimal diagnostic and prognostic signature for overall survival. It was concluded that the CpG-based signature is a reliable predictor for the diagnosis and prognosis of patients with LACA.
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