已发表论文

减毒的 ZHX3 表达作为潜在的生物标志物预测乳腺癌患者的不良临床结果

 

Authors You Y, Ma Y, Wang Q, Ye Z, Deng Y, Bai F

Received 17 August 2018

Accepted for publication 4 January 2019

Published 5 February 2019 Volume 2019:11 Pages 1199—1210

DOI https://doi.org/10.2147/CMAR.S184340

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Andrew Yee

Peer reviewer comments 1

Editor who approved publication: Dr Rituraj Purohit

Background: The ZHX family has recently been in the spotlight as an integrator and an indispensable node in carcinogenesis, whose expression is frequently dysregulated in multiple cancers. The current study provides a novel investigation of the expression profiles of ZHX factors in breast cancer.
Materials and methods: The mRNA levels of ZHXs and follow-up periods in breast cancer patients were mined through the Oncomine, Cancer Cell Line Encyclopedia, bc-GenExMiner, cBioPortal and Kaplan–Meier plotter databases. In addition, ZHX3 protein expression was examined in 98 primary tumor samples by immunohistochemistry to investigate its association with clinicopathological parameters and patient outcomes.
Results: We found that the transcriptional levels of ZHX1, ZHX2 and ZHX3 were not significantly altered in tumor tissues compared with those in nontumor tissues. ZHX2 and ZHX3 mRNA levels were observed to be positively correlated with estrogen receptor and progesterone receptor expression, while ZHX2 mRNA levels were negatively associated with HER2 expression. Survival analyses revealed that high mRNA levels of ZHX2 and ZHX3 correlated with better overall survival in patients with breast cancer. Immunohistochemical analysis revealed that patients with decreased ZHX3 protein levels had poorer outcomes. Multivariate analysis exhibited that ZHX3 expression may serve as an independent high-risk prognostic predictor.
Conclusion: Dysregulated expression of ZHXs may be involved in the progression of breast cancer and could serve as a novel biomarker and potential target for breast cancer.
Keywords: ZHX, breast cancer, data mining, immunohistochemistry, prognosis




Figure 3 Correlation of mRNA expression of ZHX factors with SBR grade status.