Identification of Candidate Biomarkers Correlated With the Pathogenesis and Prognosis of Non-small Cell Lung Cancer via Integrated Bioinformatics Analysis

Identification of Candidate Biomarkers Correlated With the Pathogenesis and Prognosis of Non-small Cell Lung Cancer via Integrated Bioinformatics Analysis

Background and Objective: Non-small cell lung cancer (NSCLC) accounts for 80–85% of all patients with lung cancer and 5-year relative overall survival (OS) rate is less than 20%, so that identifying novel diagnostic and prognostic biomarkers is urgently demanded. The present study attempted to ident...

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Bibliographic Details
Main Authors: Mengwei Ni, Xinkui Liu, Jiarui Wu, Dan Zhang, Jinhui Tian, Ting Wang, Shuyu Liu, Ziqi Meng, Kaihuan Wang, Xiaojiao Duan, Wei Zhou, Xiaomeng Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-10-01
Series:Frontiers in Genetics
Subjects:
non-small cell lung cancer
bioinformatics
differentially expressed genes
survival
biomarker
GEO
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2018.00469/full

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