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Uncovering the Relationship Between Yap/ Wwtr1 (Taz) Genes Expression and Lncrnas of Snhg15, Hcp5 and Linc01433 in Breast Cancer Tissues Publisher Pubmed



Beyrami M1 ; Khodadadi I1 ; Tavilani H1 ; Razavi ANE2 ; Karimi J1
Authors
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Authors Affiliations
  1. 1. Department of Clinical Biochemistry, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
  2. 2. Iran National Tumor Bank, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran

Source: Pathology Research and Practice Published:2024


Abstract

In spite of the decrease in breast cancer (BC) death rates, it has remained a significant public health concern. Dysregulation of the Hippo pathway contributes to breast cancer development and progression by enhancing cancerous cell proliferation, survival, invasion, and migration. Investigating the connection between specific lncRNAs (SNHG15, HCP5, and LINC01433) and YAP and WWTR1, and the impact of these lncRNAs on the expression of YAP and WWTR1 proteins in the Hippo pathway, may offer valuable understanding for BC diagnosis and treatment. Forty BC tissue samples were acquired from the Tumor Bank and utilized for RNA and protein extraction. Real-time PCR and western blotting techniques were performed to assess the gene and protein expressions, respectively. Correlations between variables and their associations with clinicopathological features in BC were evaluated using Mann-Whitney U or Student's t-test. Additionally, the analysis of the GEO database was utilized to validate the findings. In cancerous tissue, the up-regulation of YAP, WWTR1, HCP5, SNHG15, and Linc01433 at both the mRNA and protein levels corresponds to the findings in GEO datasets. A significant association was found between YAP and histological grade, while WWTR1 showed a correlation with family history and HER-2. The distinct and notable expression of YAP, WWTR1, SNHG15, HCP5, and Linc01433 in BC tissues, together with the results of combined ROC curve analysis derived from our finding and GEO database suggest that a combined panel of these 5 RNAs may have great potential in predicting of BC and its management. © 2024 Elsevier GmbH