Identification of lncRNA TRPM2-AS/miR-140-3p/PYCR1 axis's proliferates and anti-apoptotic effect on breast cancer using co-expression network analysis

Cancer Biology & Therapy
Tong SunXiao Luo

Abstract

Breast cancer (BC) is one of the most common malignancies occurring in women worldwide. Weighted gene co-expression network analysis (WGCNA) has not been widely utilized in uncovering the biomarkers which played pivotal roles in BC treatment. This study aimed to verify the proliferative and anti-apoptotic effect of lncRNA TRPM2-AS/miR-140-3p/PYCR1 axis on BC based on WGCNA. WGCNA was applied for determining hub genes using gene expression data gained from breast cancer and adjacent tissues which were downloaded from the Cancer Genome Atlas (TCGA) database. The correlative curves showed the correlation between OS/DFS of BC patients and TRPM2-AS expression or PYCR1 expression based on the data of survival rate of BC patients obtained from the TCGA database. QRT-PCR was employed in detecting the expression levels of TRPM2-AS, miR-140-3p and PYCR1, and western blot analysis was adopted for determination of protein expression level of PYCR1. Dual luciferase assay was applied to verify the targeting relationship between TRPM2-AS and miR-140-3p, as well as miR-140-3p and PYCR1. The roles of TRPM2-AS, miR-140-3p, and PYCR1 in proliferation, migration, and apoptosis of BC cell were identified by CCK-8 assay, cell migration assay and flo...Continue Reading

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Citations

Jun 6, 2020·Frontiers in Oncology·Cristina D'AnielloGabriella Minchiotti
Oct 24, 2020·Molecules : a Journal of Synthetic Chemistry and Natural Product Chemistry·Peilin YuWei Yang
Jan 13, 2021·Biomedicine & Pharmacotherapy = Biomédecine & Pharmacothérapie·Soudeh Ghafouri-FardMohammad Taheri
Oct 31, 2020·International Journal of Molecular Sciences·Yoshihiko ChibaHiroyasu Sakai
Oct 7, 2021·Bioscience Reports·Ying Jing, Donghai Li

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