The prognostic value of cytoskeletal regulation and vesicle trafficking signaling pathway mutation in breast cancer.

Abstract

e13068 Background: Breast cancer (BC) is the most commonly diagnosed cancer in 2020, with an estimated 2.3 million new cases and the leading cause of cancer death in women. The cytoskeleton is a dynamic system of protein filaments that is regulated by dozens of proteins which are, in turn, regulated by phosphoinositides. Cytoskeletal regulation and vesicle trafficking (CRVT) signaling pathway is associated with many changes in the structure and movements of cells. Few studies addressing the association between genetic mutation of the CRVT pathway and the disease prognosis have been reported up to now. Here we investigate the genetic status of CRVT pathway as a biomarker for predicting overall survival (OS) and relapse-free survival (RFS) for breast cancer patients. Methods: We used cBioPortal platform to analyze a cohort of 10646 breast cancer samples. Mutations in 7 genes ( APC, BAP1, KEAP1, PAK1, PTEN, SRC, STAT3 ) are the most common indication in the CRVT signaling pathway. We define overall survival (OS) as the time between the procedure date when the tumor specimen was collected and the date of death or last follow-up visit. And we define relapse-free survival (RFS) as the time from surgical resection to relapse of disease. We estimated and compared the survival curves of these two groups using Kaplan-Meier method and log-rank tests. The statistical significance level was set to 5% ( p < 0.05). Results: Genomic alterations of the CRVT-indicator genes were found in 2582 (n = 2582/10646, 24.25%) samples with sorts of alterations identified including variants of non-synonymous mutations, splicing mutations, short in-frame insertion and deletion, short frame shift insertion and deletion, and copy number gain and loss. PTEN was most commonly altered (n = 2329), followed by PAK1 (n = 863), APC (n = 718), STAT3 (n = 341), KEAP1 (n = 317), BAP1(n = 292), and SRC (n = 278). Based on the result, patients were divided into the CRVT and non-CRVT group. The median OS of the CRVT group was 141.57 moth, which was significantly shorter than the OS of the non-CRVT group (log-rank test p= 0.000662). The median RFS of the CRVT group was 167.76 moth, which was also significantly shorter than the RFS of the non-CRVT group (log-rank test p= 0.0169). Conclusions: To the best of our knowledge, this study is the first investigation to evaluate the prognostic value of CRVT pathway mutation in patients with breast cancer. Our investigation shows that CRVT pathway mutation could significantly predict poor prognosis in breast cancer patients. The result of our analysis should be better confirmed with additional relevant research in the future using updated analyses.