Genome-scale analysis identifies NEK2, DLGAP5 and ECT2 as promising diagnostic and prognostic biomarkers in human lung cancer

Autor:	Wei Zhang, Yao Shen, Ji-Ye Yin, Hong-Hao Zhou, Yuan-Xiang Shi, Zhao-Qian Liu
Jazyk:	angličtina
Rok vydání:	2017
Předmět:	Male 0301 basic medicine Oncology medicine.medical_specialty Candidate gene Lung Neoplasms Science Kaplan-Meier Estimate Bioinformatics Article 03 medical and health sciences 0302 clinical medicine Text mining Proto-Oncogene Proteins Internal medicine Biomarkers Tumor Humans NIMA-Related Kinases Medicine Lung cancer Gene Aged Multidisciplinary Receiver operating characteristic business.industry Human lung cancer Gene Expression Profiling Middle Aged Prognosis medicine.disease Primary tumor Neoplasm Proteins Gene expression profiling 030104 developmental biology 030220 oncology & carcinogenesis Female business
Zdroj:	Scientific Reports, Vol 7, Iss 1, Pp 1-11 (2017) Scientific Reports
ISSN:	2045-2322
Popis:	This study aims to identify promising biomarkers for the early detection of lung cancer and evaluate the prognosis of lung cancer patients. Genome-wide mRNA expression data obtained from the Gene Expression Omnibus (GSE19188, GSE18842 and GSE40791), including 231 primary tumor samples and 210 normal samples, were used to discover differentially expressed genes (DEGs). NEK2, DLGAP5 and ECT2 were found to be highly expressed in tumor samples. These results were experimentally confirmed by quantitative reverse transcription-polymerase chain reaction (qRT-PCR). The elevated expression of the three candidate genes was also validated using the Cancer Genome Atlas (TCGA) datasets, which consist of 349 tumor and 58 normal tissues. Furthermore, we performed receiver operating characteristics (ROC) analysis to assess the diagnostic value of these lung cancer biomarkers, and the results suggested that NEK2, DLGAP5 and ECT2 expression levels could robustly distinguish lung cancer patients from normal subjects. Finally, Kaplan-Meier analysis revealed that elevated NEK2, DLGAP5 and ECT2 expression was negatively correlated with both overall survival (OS) and relapse-free survival (RFS). Taken together, these findings indicate that these three genes might be used as promising biomarkers for the early detection of lung cancer, as well as predicting the prognosis of lung cancer patients.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::122fe5bfa55940f5218d699e3b0359ac https://doaj.org/article/0f15c54d952b407e9ccc6da6024cb1a6 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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