Elevated expression of TUBA1C in breast cancer predicts poor prognosis

Author:

Zhao YiORCID,Wang Wenwen,Li Jinming,Du Jiarui,Xie Qiqi,Wang Miaozhou,Liu Zhen,Huo Xingfa,Zhao Fuxing,Ren Dengfeng,Zhao Jiuda,Shen GuoShuang

Abstract

α1C-tubulin (TUBA1C) is a member of the α-tubulin family and has served as a potential biomarker in a variety of cancers in many studies. In this study, the gene expression profile of TUBA1C in The Cancer Genome Atlas (TCGA) was extracted for analysis, and the prognostic value of TUBA1C in breast cancer was comprehensively evaluated. The Wilcoxon signed-rank test, Kruskal-Wallis test, and logistic regression analysis were performed to confirm the correlations between TUBA1C expression and the clinical characteristics of breast cancer patients. The effect of TUBA1C expression on the survival of breast cancer patients was assessed by Kaplan-Meier curve, Cox regression analysis, and the Kaplan-Meier plotter (an online database). The TCGA data set was used for the Gene Set Enrichment Analysis (GSEA). The results confirmed that high TUBA1C expression in breast cancer was closely correlated with survival time, survival status, and tumor size. In addition, elevated TUBA1C expression can predict poor overall survival (OS), recurrence-free survival (RFS), and distant metastasis-free survival (DMFS). Univariate and multivariate analyses (Cox regression analyses) confirmed that TUBA1C was an independent prognostic factor for the OS of breast cancer patients. The GSEA identified that the high TUBA1C expression phenotype was differentially enriched in cell cycle, basal transcription factor, P53 signaling pathway, pathways in cancer, TOLL-like receptor signaling pathway, and NOD-like receptor signaling pathway. In summary, high messenger RNA (mRNA) expression of TUBA1C is an independent risk factor for poor prognosis of breast cancer.

Funder

Key Research & Development and Transformation Project of Qinghai Province for 2018

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference19 articles.

1. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.;H Sung;CA Cancer J Clin.,2021

2. Breast cancer diagnosis: Imaging techniques and biochemical markers;SH Jafari;J Cell Physiol,2018

3. Recent developments in tubulin polymerization inhibitors: An overview;R Kaur;Eur J Med Chem,2014

4. MAP4-dependent regulation of microtubule formation affects centrosome, cilia, and Golgi architecture as a central mechanism in growth regulation;D Zahnleiter;Hum Mutat,2015

5. Analysis of microtubule dynamic instability using a plus-end growth marker.;A Matov;Nat Methods.,2010

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