Author
Listed:
- Yi Zhao
- Wenwen Wang
- Jinming Li
- Jiarui Du
- Qiqi Xie
- Miaozhou Wang
- Zhen Liu
- Xingfa Huo
- Fuxing Zhao
- Dengfeng Ren
- Jiuda Zhao
- GuoShuang Shen
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.
Suggested Citation
Yi Zhao & Wenwen Wang & Jinming Li & Jiarui Du & Qiqi Xie & Miaozhou Wang & Zhen Liu & Xingfa Huo & Fuxing Zhao & Dengfeng Ren & Jiuda Zhao & GuoShuang Shen, 2023.
"Elevated expression of TUBA1C in breast cancer predicts poor prognosis,"
PLOS ONE, Public Library of Science, vol. 18(11), pages 1-13, November.
Handle:
RePEc:plo:pone00:0263710
DOI: 10.1371/journal.pone.0263710
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