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Updated: Oct 4, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Increased KIAA0101 gene expression associated with poor prognosis in breast cancer
Jiuyang Liu1, Yukun He1, Chengxin Li1
1Department of Breast & Thyroid Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Background:
Breast cancer (BC) has long been a major death threat facing women worldwide. With the development of comprehensive treatment methods, the prognosis of BC was improved but still unsatisfactory. This study was aimed to identify the key genes in BC tumorigenesis and investigate potential prognostic predictors.
Methods:
Differential expression genes were analyzed in TCGA BRCA dataset using Genevestigator software. The expression profile of target gene was explored, and the correlations between selected genes with important clinical parameters were evaluated as well. The prognostic values of target genes were also carried out through Kaplan-Meier plotter OncoLnc and BC gene-expression miner.
Results:
KIAA0101 gene was selected for further analysis from the differential expression genes identified. At both mRNA and protein levels, the expression of KIAA0101 in BC was higher than that in normal tissues. Further analysis indicated that overexpression of KIAA0101 was significantly correlated with worse clinical outcome parameters. KIAA0101 was highly expressed in older patients, in the luminal group, and in patients with advanced stages. Moreover, BC patients with elevated KIAA0101 expression had worse overall survival (OS), relapse-free survival (RFS), distant metastasis-free survival (DMFS) and disease-free survival (DFS).
Conclusions:
Taken together, KIAA0101 could be considered as a diagnostic biomarker or predictor for BC prognosis.
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