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Identification of 17 mRNAs and a miRNA as an integrated prognostic signature for lung squamous cell carcinoma

文献类型：期刊论文

作者Bing, Zhitong2,3,4; Tian, Jinhui2,3; Shi, Xiue6,7; Wang, Yongfeng1; Yang, Kehu2,3,5,7; Yan, Peijing5; Zhang, Jingyun2,3
刊名JOURNAL OF GENE MEDICINE
出版日期2019-08-01
卷号21期号:8页码:12
关键词data mining gene signatures lung squamous cell carcinoma meta-analysis prognosis
ISSN号1099-498X
DOI10.1002/jgm.3105
通讯作者Wang, Yongfeng(wangyongfeng2020@126.com) ; Yang, Kehu(kehuyangebm2006@126.com)
英文摘要Background Gene signatures for predicting the outcome of lung squamous cell carcinoma (LUSC) have been employed for many years. However, various signatures have been applied in clinical practice. Therefore, in the present study, we aimed to filter out an effective LUSC prognostic gene signature by simultaneously integrating mRNA and microRNA (miRNA). Methods First, based on data from the Cancer Genome Atlas (TCGA) (https://www.cancer.gov/tcga), mRNAs and miRNAs that were related to overall survival of LUSC were obtained by the least absolute shrinkage and selection operator method. Subsequently, the predicting effect was tested by time-dependent receiver operating characteristic curve analysis and Kaplan-Meier survival analysis. Next, related clinical indices were added to evaluate the efficiency of the selected gene signatures. Finally, validation and comparison using three independent gene signatures were performed using data from the Gene Expression Omnibus database (https://www.ncbi.nlm.nih.gov/geo). Results Our data showed that the prognostic index (PI) contained 17 mRNAs and one miRNA. According to the best normalized cut-off of PI (0.0247), the hazard ratio of the PI was 3.40 (95% confidence interval = 2.33-4.96). Moreover, when clinical factors were introduced, the PI was still the most significant index. In addition, only two Gene Ontology terms with p < 0.05 were reported. Furthermore, validation implied that, using our 18-gene signature, only hazard ratio = 1.36 (95% confidence interval = 1.01-1.83) was significant compared to the other three groups of gene biomarkers. Conclusions The 18-gene signature selected based on data from the TCGA database had an effective prognostic value for LUSC patients.
WOS关键词EXPRESSION SIGNATURE ; CANCER STATISTICS ; GENE SIGNATURE ; BIOMARKER ; SURVIVAL ; METAANALYSIS ; ASSOCIATION ; VALIDATION ; PREDICTION ; PHENOTYPE
WOS研究方向Biotechnology & Applied Microbiology ; Genetics & Heredity ; Research & Experimental Medicine
语种英语
WOS记录号WOS:000481908100004
出版者WILEY
源URL[http://119.78.100.186/handle/113462/132876]  
专题中国科学院近代物理研究所
通讯作者Wang, Yongfeng; Yang, Kehu
作者单位1.Gansu Univ Chinese Med, Lanzhou 730000, Gansu, Peoples R China
2.Lanzhou Univ, Sch Basic Med Sci, Evidence Based Med Ctr, Lanzhou, Gansu, Peoples R China
3.Key Lab Evidence Based Med & Knowledge Translat G, Lanzhou, Gansu, Peoples R China
4.Chinese Acad Sci, Inst Modern Phys, Dept Computat Phys, Lanzhou, Gansu, Peoples R China
5.Gansu Prov Hosp, Inst Clin Res & Evidence Based Med, Lanzhou, Gansu, Peoples R China
6.Gansu Rehabil Ctr Hosp, Lanzhou, Gansu, Peoples R China
7.Gansu Evidence Based Rehabil Med Ctr, Lanzhou, Gansu, Peoples R China
推荐引用方式
GB/T 7714		 Bing, Zhitong,Tian, Jinhui,Shi, Xiue,et al. Identification of 17 mRNAs and a miRNA as an integrated prognostic signature for lung squamous cell carcinoma[J]. JOURNAL OF GENE MEDICINE,2019,21(8):12.
APA Bing, Zhitong.,Tian, Jinhui.,Shi, Xiue.,Wang, Yongfeng.,Yang, Kehu.,...&Zhang, Jingyun.(2019).Identification of 17 mRNAs and a miRNA as an integrated prognostic signature for lung squamous cell carcinoma.JOURNAL OF GENE MEDICINE,21(8),12.
MLA Bing, Zhitong,et al."Identification of 17 mRNAs and a miRNA as an integrated prognostic signature for lung squamous cell carcinoma".JOURNAL OF GENE MEDICINE 21.8(2019):12.

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来源：近代物理研究所

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