Expression of BAG1 is associated with prognosis in kidney renal clear cell carcinoma based on bioinformatics

• Published in: BMC cancer Vol. 21; no. 1; p. 160
• Main Authors: Wu, Hongrong, Liu, Minjing, He, Yuejun, Meng, Guozhao, Guo, Wanbei, Guo, Qiong
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 13.02.2021; BioMed Central; BMC
• Subjects: Adult; Aged; Aged, 80 and over; Apoptosis; BAG1; Bioinformatics; Biomarkers, Tumor - genetics; Biomarkers, Tumor - metabolism; Carcinoma, Renal cell; Carcinoma, Renal Cell - genetics; Carcinoma, Renal Cell - metabolism; Carcinoma, Renal Cell - pathology; Care and treatment; Computational biology; Computational Biology - methods; Databases, Genetic - statistics & numerical data; Development and progression; DNA-Binding Proteins - genetics; DNA-Binding Proteins - metabolism; Esophagus; Fatty acid metabolism; Female; Gene expression; Gene Expression Regulation, Neoplastic; Gene Regulatory Networks; Genetic aspects; Genomes; Genotype; Health aspects; Hemoglobin; Humans; Kidney cancer; Kidney Neoplasms - genetics; Kidney Neoplasms - metabolism; Kidney Neoplasms - pathology; Kidneys; Kinases; KIRC; Lymphatic system; Male; Medical prognosis; Metastases; Metastasis; Middle Aged; Molecular modelling; Multivariate analysis; Neoplasm Staging; Oxidative metabolism; Oxidative phosphorylation; Patients; Phenotypes; Phosphorylation; Prognosis; Renal cell carcinoma; Survival Rate; Therapeutic targets; Transcription Factors - genetics; Transcription Factors - metabolism; Tumors; Variables; China; Prognosis; Fatty acid metabolism; Oxidative phosphorylation; KIRC; BAG1
• ISSN: 1471-2407; 1471-2407
• DOI: 10.1186/s12885-021-07874-w

BCL2 associated Athano-Gene 1 (BAG1) has been described to be involved in the development and progression of cancer. But the role of BAG1 in kidney renal clear cell carcinoma (KIRC) has remained largely unknown. We performed bioinformatic analysis of data from TCGA and GEO dataset. The role of BAG1 in KIRC was explored by Logistic and Cox regression model. The molecular mechanisms of BAG1 was revealed by GSEA. The current study found that the KIRC tumor samples have a low level of BAG1 mRNA expression compared to the matched normal tissues based on TCGA data and GEO databases. Low expression of BAG1 in KIRC was significantly associated with Sex, clinical pathological stage, tumor-node-metastasis (TNM) stage, hemoglobin levels, cancer status and history of neoadjuvant treatment. Kaplan-Meier survival analysis indicated that KIRC patients with BAG1 high expression have a longer survival time than those with BAG1 low expression (p < 0.000). Cox regression analysis showed that BAG1 remained independently associated with overall survival, with a hazard ratio (HR) of 1.75(CI:1.05-2.90; p = 0.029). GSEA indicated that the signaling pathways including fatty acid metabolism and oxidative phosphorylation were differentially enriched in high BAG1 expression phenotype. These findings suggested that BAG1 expression may act as a potential favorable prognostic marker and challenging therapeutic target.