Identification of a Set of Genes Improving Survival Prediction in Kidney Renal Clear Cell Carcinoma through Integrative Reanalysis of Transcriptomic Data

Background. With an enormous amount of research concerning kidney cancer being conducted, various treatments have been applied to its cure. However, high recurrence and metastasis rates continue to pose a threat to the survival of patients with kidney renal clear cell carcinoma (KIRC). Methods. Data...

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Bibliographic Details
Published in:Disease markers 2020, Vol.2020 (2020), p.1-20
Main Authors: Shi, Wenzhen, Wang, Man, Qian, Lu, Ding, Qianshan, Liu, Jie, Tian, Jinping, Xu, Kai, Wang, Qi, Dong, Zhiwei, Chen, Xueyi, Feng, Xianzhen, Ruan, Banlai, Chen, Ziyin
Format: Article
Language:English
Subjects:
Aged
Analysis
Bioinformatics
Biomarkers, Tumor - genetics
Cancer
Carcinoma
Carcinoma, Renal Cell - genetics
Carcinoma, Renal Cell - mortality
Carcinoma, Renal Cell - pathology
Clear cell-type renal cell carcinoma
Computational Biology - methods
Cyclin-dependent kinases
Cyclin-Dependent Kinases - genetics
Development and progression
Female
Gene expression
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Gene Regulatory Networks
Genes
Genetic aspects
Genetic research
Genomes
Genomics
Humans
Kidney cancer
Kidney Neoplasms - genetics
Kidney Neoplasms - mortality
Kidney Neoplasms - pathology
Kidneys
Kinases
Male
Mathematical models
Medical prognosis
Membrane Glycoproteins - genetics
Metastases
Metastasis
Middle Aged
Model accuracy
Multivariate analysis
Nerve Tissue Proteins - genetics
Network analysis
Oncology, Experimental
Operators (mathematics)
Parameter identification
Patients
Prognosis
Proportional Hazards Models
Proteins
Regression analysis
Stat2 protein
STAT2 Transcription Factor - genetics
Survival
Survival analysis
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Summary:Background. With an enormous amount of research concerning kidney cancer being conducted, various treatments have been applied to its cure. However, high recurrence and metastasis rates continue to pose a threat to the survival of patients with kidney renal clear cell carcinoma (KIRC). Methods. Data from The Cancer Genome Atlas were downloaded, and a series of analyses were performed, including differential analysis, Cox analysis, weighted gene coexpression network analysis, least absolute shrinkage and selection operator analysis, multivariate Cox analysis, survival analysis, and receiver operating characteristic curve and functional enrichment analysis. Results. A total of 5,777 differentially expressed genes were identified from the differential analysis. The Cox analysis showed 1,853 significant genes (P
ISSN:0278-0240
1875-8630
DOI:10.1155/2020/8824717