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Usage Information

Auranofin attenuates TOPBP1-mediated ATR replication stress response and improves chemotherapeutic response in breast tumor models
Shuai Ma, Yingying Han, Rui Gu, Qi Chen, Qiushi Guo, Yuan Yue, Cheng Cao, Ling Liu, Zhenzhen Yang, Yan Qin, Ying Yang, Kai Zhang, Fei Liu, Lin Liu, Na Yang, Jihui Hao, Jie Yang, Zhi Yao, Xiaoyun Mao, Lei Shi
Shuai Ma, Yingying Han, Rui Gu, Qi Chen, Qiushi Guo, Yuan Yue, Cheng Cao, Ling Liu, Zhenzhen Yang, Yan Qin, Ying Yang, Kai Zhang, Fei Liu, Lin Liu, Na Yang, Jihui Hao, Jie Yang, Zhi Yao, Xiaoyun Mao, Lei Shi
View: Text | PDF
Research Article Cell biology Oncology

Auranofin attenuates TOPBP1-mediated ATR replication stress response and improves chemotherapeutic response in breast tumor models

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Abstract

Genome instability is most commonly caused by replication stress, which also renders cancer cells extremely vulnerable once their response to replication stress is impeded. Topoisomerase II binding protein 1 (TOPBP1), an allosteric activator of ataxia telangiectasia and Rad3-related kinase (ATR), coordinates ATR in replication stress response and has emerged as a potential therapeutic target for tumors. Here, we identify auranofin, the FDA-approved drug for rheumatoid arthritis, as a lead compound capable of binding to the BRCT 7–8 domains and blocking TOPBP1 interaction with PHF8 and FANCJ. The liquid-liquid phase separation of TOPBP1 is also disrupted by auranofin. Through targeting these TOPBP1-nucleated molecular machineries, auranofin leads to an accumulation of replication defects by impairing ATR activation and attenuating replication protein A loading on perturbed replication forks, and it shows significant anti–breast tumor activity in combination with a PARP inhibitor. This study provides mechanistic insights into how auranofin challenges replication integrity and expands the application of this FDA-approved drug in breast tumor intervention.

Authors

Shuai Ma, Yingying Han, Rui Gu, Qi Chen, Qiushi Guo, Yuan Yue, Cheng Cao, Ling Liu, Zhenzhen Yang, Yan Qin, Ying Yang, Kai Zhang, Fei Liu, Lin Liu, Na Yang, Jihui Hao, Jie Yang, Zhi Yao, Xiaoyun Mao, Lei Shi

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Usage data is cumulative from December 2025 through October 2026.

Usage JCI PMC
Text version 3,359 470
PDF 1,020 151
Figure 1,645 0
Supplemental data 904 61
Citation downloads 290 0
Totals 7,218 682
Total Views 7,900

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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