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Identification of Genes Associated with Lung Adenocarcinoma Prognosis.

Abstract：

OBJECTIVE:Lung cancer is the most prevalent cancer in the world, and lung adenocarcinoma is the most common lung cancer subtype. Identification and determination of relevant prognostic markers are the key steps to personalized cancer management. METHODS:We collected the gene expression profiles from 265 tumor tissues of stage I patients from The Cancer Genome Atlas (TCGA) databases. Using Cox regression model, we evaluated the association between gene expression and the overall survival time of patients adjusting for gender and age at initial pathologic diagnosis. RESULTS:Age at initial pathologic diagnosis was identified to be associated with the survival, while gender was not. We identified that 15 genes were significantly associated with overall survival time of patients (FDR < 0.1). The 15-mRNA signature- based risk score was helpful to distinguish patients of high-risk group from patients of low-risk group. CONCLUSION:Our findings reveal novel genes associated with lung adenocarcinoma survival and extend our understanding of how gene expression contributes to lung adenocarcinoma survival. These results are helpful for the prediction of the prognosis and personalized cancer management.

journal_name

Comb Chem High Throughput Screen

journal_title

Combinatorial chemistry & high throughput screening

authors

He ZH,Lv W,Wang LM,Wang YQ,Hu J

doi

10.2174/1386207322666190404152140

subject

Has Abstract

pub_date

2019-01-01 00:00:00

pages

220-224

issue

4

eissn

1386-2073

issn

1875-5402

pii

CCHTS-EPUB-97791

journal_volume

22

pub_type

杂志文章

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