Creation of a Prognostic Risk Prediction Model for Lung Adenocarcinoma Based on Gene Expression, Methylation, and Clinical Characteristics

BACKGROUND This study aimed to identify important marker genes in lung adenocarcinoma (LACC) and establish a prognostic risk model to predict the risk of LACC in patients. MATERIAL AND METHODS Gene expression and methylation profiles for LACC and clinical information about cases were downloaded from...

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Veröffentlicht in:	Medical science monitor 2020-10, Vol.26, p.e925833-e925833
Hauptverfasser:	Ke, Honggang, Wu, Yunyu, Wang, Runjie, Wu, Xiaohong
Format:	Artikel
Sprache:	eng
Schlagworte:	Adenocarcinoma of Lung - diagnosis Adenocarcinoma of Lung - genetics Adenocarcinoma of Lung - metabolism Biomarkers, Tumor - genetics Biomarkers, Tumor - metabolism Database Analysis Databases, Genetic DNA Methylation DNA, Neoplasm - genetics DNA, Neoplasm - metabolism Gene Expression Regulation, Neoplastic Humans Lung Neoplasms - diagnosis Lung Neoplasms - genetics Lung Neoplasms - metabolism Models, Biological Predictive Value of Tests Transcriptome
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