4.6 Article

Stepwise molecular mechanisms responsible for chemoresistance in bladder cancer cells

期刊

CELL DEATH DISCOVERY
卷 8, 期 1, 页码 -

出版社

SPRINGERNATURE
DOI: 10.1038/s41420-022-01242-8

关键词

-

资金

  1. National Research Foundation of Korea (NRF) - Korea government [2020R1A2C1007356, 2022R1A2C1012173]
  2. National Research Foundation of Korea [2020R1A2C1007356, 2022R1A2C1012173] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

This study establishes a gemcitabine-resistant bladder cancer cell line to investigate the molecular mechanisms of chemoresistance. The analysis of gene expression profiles reveals a multigene signature and a chemoresistance score that can predict the responsiveness to gemcitabine treatment. These findings are important for predicting chemoresistance and improving the prognosis of bladder cancer patients.
Chemotherapy resistance is an obstacle to cancer therapy and is considered a major cause of recurrence. Thus, understanding the mechanisms of chemoresistance is critical to improving the prognosis of patients. Here, we have established a stepwise gemcitabine-resistant T24 bladder cancer cell line to understand the molecular mechanisms of chemoresistance within cancer cells. The characteristics of the stepwise chemoresistance cell line were divided into 4 phases (parental, early, intermediate, and late phases). These four phase cells showed increasingly aggressive phenotypes in vitro and in vivo experiments with increasing phases and revealed the molecular properties of the biological process from parent cells to phased gemcitabine-resistant cell line (GRC). Taken together, through the analysis of gene expression profile data, we have characterized gene set of each phase indicating the response to anticancer drug treatment. Specifically, we identified a multigene signature (23 genes including GATA3, APOBEC3G, NT5E, MYC, STC1, FOXD1, SMAD9) and developed a chemoresistance score consisting of that could predict eventual responsiveness to gemcitabine treatment. Our data will contribute to predicting chemoresistance and improving the prognosis of bladder cancer patients.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据