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Prognostic and predictive values of CDK1 and MAD2L1 in lung adenocarcinoma.
- Source :
-
Oncotarget [Oncotarget] 2016 Dec 20; Vol. 7 (51), pp. 85235-85243. - Publication Year :
- 2016
-
Abstract
- Lung cancer remains as the leading cause of cancer-related death worldwide, and lung adenocarcinoma (LUAD) is the most common histological subtype. This study aims to investigate biomarkers associated with cancer progression and prognosis of LUAD. We integrated expression profiles of 668 lung cancer patients in five datasets from the Gene Expression Omnibus (GEO) and identified a panel of differentially expressed genes (DEGs). Function enrichment analysis highlighted that these genes were closely associated with the carcinogenesis of LUAD, such as cell cycle, ECM-receptor interaction and p53 signaling pathway. Cyclin-dependent kinase 1 (CDK1) and MAD2 mitotic arrest deficient-like 1 (MAD2L1), two critical mitotic checkpoint genes, were selected for further study. Elevated expression of CDK1 and MAD2L1 was validated in an independent LUAD cohort. Kaplan-Meier analysis revealed that CDK1 and MAD2L1 expression was negatively correlated with both overall survival (OS) and relapse-free survival (RFS). In conclusion, CDK1 and MAD2L1 were adverse prognostic biomarkers for LUAD whose increased expression could render patients with LUAD a high risk of cancer recurrence and poor survival, suggesting that they might be applied as potential targets for LUAD treatment.
- Subjects :
- Adenocarcinoma mortality
Aged
Biomarkers, Tumor genetics
CDC2 Protein Kinase genetics
Carcinogenesis
Datasets as Topic
Female
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Humans
Lung Neoplasms mortality
Mad2 Proteins genetics
Male
Mitosis genetics
Predictive Value of Tests
Prognosis
Signal Transduction
Survival Analysis
Tumor Suppressor Protein p53 metabolism
Up-Regulation
Adenocarcinoma diagnosis
Biomarkers, Tumor metabolism
CDC2 Protein Kinase metabolism
Lung Neoplasms diagnosis
Mad2 Proteins metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1949-2553
- Volume :
- 7
- Issue :
- 51
- Database :
- MEDLINE
- Journal :
- Oncotarget
- Publication Type :
- Academic Journal
- Accession number :
- 27835911
- Full Text :
- https://doi.org/10.18632/oncotarget.13252