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Data from A Genome-Wide Pooled shRNA Screen Identifies PPP2R2A as a Predictive Biomarker for the Response to ATR and CHK1 Inhibitors

Posted on 2023-03-31 - 03:43
Abstract

There is currently a lack of precise predictive biomarkers for patient selection in clinical trials of inhibitors targeting replication stress (RS) response proteins ATR and CHK1. The objective of this study was to identify novel predictive biomarkers for the response to these agents in treating non–small cell lung cancer (NSCLC). A genome-wide loss-of-function screen revealed that tumor suppressor PPP2R2A, a B regulatory subunit of protein phosphatase 2 (PP2A), determines sensitivity to CHK1 inhibition. A synthetic lethal interaction between PPP2R2A deficiency and ATR or CHK1 inhibition was observed in NSCLC in vitro and in vivo and was independent of p53 status. ATR and CHK1 inhibition resulted in significantly increased levels of RS and altered replication dynamics, particularly in PPP2R2A-deficient NSCLC cells. Mechanistically, PPP2R2A negatively regulated translation of oncogene c-Myc protein. c-Myc activity was required for PPP2R2A deficiency-induced alterations of replication initiation/RS and sensitivity to ATR/CHK1 inhibitors. We conclude that PPP2R2A deficiency elevates RS by upregulating c-Myc activity, rendering cells reliant on the ATR/CHK1 axis for survival. Our studies show a novel synthetic lethal interaction and identify PPP2R2A as a potential new predictive biomarker for patient stratification in the clinical use of ATR and CHK1 inhibitors.

Significance:

This study reveals new approaches to specifically target PPP2R2A-deficient lung cancer cells and provides a novel biomarker that will significantly improve treatment outcome with ATR and CHK1 inhibitors.

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FUNDING

the National Cancer Institute and American Lung Association

Cure and NCI Comprehensive Cancer Center

The Ohio State University Comprehensive Cancer Center Basic Science

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Cancer Research

AUTHORS (16)

  • Zhaojun Qiu
    Pengyan Fa
    Tao Liu
    Chandra B. Prasad
    Shanhuai Ma
    Zhipeng Hong
    Ernest R. Chan
    Hongbing Wang
    Zaibo Li
    Kai He
    Qi-En Wang
    Terence M. Williams
    Chunhong Yan
    Steven T. Sizemore
    Goutham Narla
    Junran Zhang
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