Yuanzi Song1, Guishan Zhuang2, Jiazhen Li3, Mingqing Zhang4. 1. Department of Urology, Zibo First Hospital, Emeishan East Road, Zibo, China. 2. Department of Urology, Weifang People's Hospital, 151 Guangwen Street, Kuiwen District, Weifang, 261041, Shandong, China. 3. Intravenous Medication Center of Binzhou People's Hospital, Binzhou, Shandong, China. 4. Department of Urology, Weifang People's Hospital, 151 Guangwen Street, Kuiwen District, Weifang, 261041, Shandong, China. zmq2568@126.com.
Abstract
BACKGROUND: Prostate cancer (PCa) is the second most common type of male cancer in western. Despite key roles of brain-specific angiogenesis inhibitor 1-associated protein like 2 (BAIAP2L2) in several cancers, the function of BAIAP2L2 in PCa is never reported. OBJECTIVE: We aimed to investigate the role of BAIAP2L2 in the progression of PCa and decipher the underlying mechanisms. METHODS: RNA sequencing data from TCGA database were used to evaluate the expression of BAIAP2L2 in PCa. Survival analysis and Cox regression model analysis were conducted to evaluate the prognostic value of BAIAP2L2. BAIAP2L2-associated pathways were preliminary analyzed by Gene Set Enrichment Analysis (GSEA) method and confirmed by western blot assays. Cell proliferation and transwell assays were performed to determine biological behaviors in BAIAP2L2 knocked-down or overexpressed PCa cell lines including LNCaP and PC-3 cells. RESULTS: In our study, BAIAP2L2 was significantly up-regulated in PCa tissues and cell lines and independently associated with the poor prognosis of PCa patients. Knockdown of BAIAP2L2 notably repressed proliferation, migration and invasion of PCa cells. And overexpression of BAIAP2L2 obtained the contrary results. Mechanically, GSEA method and western blot results of key molecules in signaling pathways implicated that the depletion of BAIAP2L2 inactivated the vascular endothelial growth factors (VEGFs) and induced apoptosis signaling pathways in PCa cells. CONCLUSIONS: Overall, these findings revealed that BAIAP2L2 may support tumorigenesis and malignant development of prostate cancer cells via VEGF and apoptosis signaling pathways, and it could be considered as a promising biomarker and independent prognostic predictor of prostate cancer.
BACKGROUND: Prostate cancer (PCa) is the second most common type of male cancer in western. Despite key roles of brain-specific angiogenesis inhibitor 1-associated protein like 2 (BAIAP2L2) in several cancers, the function of BAIAP2L2 in PCa is never reported. OBJECTIVE: We aimed to investigate the role of BAIAP2L2 in the progression of PCa and decipher the underlying mechanisms. METHODS: RNA sequencing data from TCGA database were used to evaluate the expression of BAIAP2L2 in PCa. Survival analysis and Cox regression model analysis were conducted to evaluate the prognostic value of BAIAP2L2. BAIAP2L2-associated pathways were preliminary analyzed by Gene Set Enrichment Analysis (GSEA) method and confirmed by western blot assays. Cell proliferation and transwell assays were performed to determine biological behaviors in BAIAP2L2 knocked-down or overexpressed PCa cell lines including LNCaP and PC-3 cells. RESULTS: In our study, BAIAP2L2 was significantly up-regulated in PCa tissues and cell lines and independently associated with the poor prognosis of PCa patients. Knockdown of BAIAP2L2 notably repressed proliferation, migration and invasion of PCa cells. And overexpression of BAIAP2L2 obtained the contrary results. Mechanically, GSEA method and western blot results of key molecules in signaling pathways implicated that the depletion of BAIAP2L2 inactivated the vascular endothelial growth factors (VEGFs) and induced apoptosis signaling pathways in PCa cells. CONCLUSIONS: Overall, these findings revealed that BAIAP2L2 may support tumorigenesis and malignant development of prostate cancer cells via VEGF and apoptosis signaling pathways, and it could be considered as a promising biomarker and independent prognostic predictor of prostate cancer.
Entities:
Keywords:
BAIAP2L2; Biomarker; Malignancy; Prognostic predictor; Prostate cancer
Authors: Abdulkader Albasri; Wakkas Fadhil; John H Scholefield; Lindy G Durrant; Mohammad Ilyas Journal: Anticancer Res Date: 2014-08 Impact factor: 2.480