Comprehensive analysis of the value of RAB family genes in prognosis of breast invasive carcinoma

Autor: Peipei Gao, Ting Peng, Yifan Meng, Ping Wu, Canhui Cao, Wenhua Zhi, Peng Wu, Shitong Lin, Lingli Gui
Rok vydání: 2020
Předmět:
0301 basic medicine
Bioinformatics
Biophysics
Breast Neoplasms
Genomics
GTPase
Biology
Biochemistry
03 medical and health sciences
0302 clinical medicine
Databases
Genetic
Biomarkers
Tumor
medicine
Humans
Genetic Predisposition to Disease
Neoplasm Invasiveness
Protein Interaction Maps
Molecular Biology
Gene
Diagnostics & Biomarkers
Research Articles
Survival analysis
Cancer
Messenger RNA
Gene Expression & Regulation
Biologic biomarkers
Gene Expression Profiling
Computational Biology
Cell Biology
Prognosis
medicine.disease
Gene Expression Regulation
Neoplastic
rab1 GTP-Binding Proteins
Gene expression profiling
rab2 GTP-Binding Protein
Phenotype
030104 developmental biology
rab GTP-Binding Proteins
030220 oncology & carcinogenesis
Cancer research
Female
RAB family genes
Rab
Transcriptome
Breast invasive carcinoma
Zdroj: Bioscience Reports
ISSN: 1573-4935
0144-8463
Popis: Purpose: Several RAB family genes have been studied extensively and proven to play pivotal roles in the occurrence and development of certain cancers. Here, we explored commonly expressed RAB family genes in humans and their prognostic significance using bioinformatics, and then identified potential biomarkers of breast invasive carcinoma (BRCA). Materials and methods: The prognostic values (overall survival) of RAB family genes in BRCA were obtained using Gene Expression Profiling Interactive Analysis (GEPIA). The expression patterns of RAB family genes and their relationships with clinicopathological parameters in BRCA were measured using the ONCOMINE and UALCAN databases, respectively. Genetic mutations and survival analysis were investigated using the cBio Cancer Genomics Portal (c-BioPortal). Interacting genes of potential biomarkers were identified using STRING, and functional enrichment analyses were performed using FunRich v3.1.3. Results: In total, 64 RAB genes were identified and analyzed in our study. Results showed that RAB1B, RAB2A, and RAB18 were up-regulated and significantly associated with poor overall survival in BRCA. Furthermore, their higher expression was positively correlated with clinicopathological parameters (e.g. cancer stage and nodal metastasis status). DNA copy number amplifications and mRNA up-regulation were the main genetic mutations, and the altered group showed significantly poorer overall survival compared with the unaltered group. Functional enrichment analysis of RAB1B, RAB2A, and RAB18 indicated they were closely involved in GTPase activity. Conclusions:RAB1B, RAB2A, and RAB18 were up-regulated and significantly correlated with poor prognosis in BRCA. Thus, they could be applied as novel biomarkers of BRCA in future studies.
Databáze: OpenAIRE
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