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Data from Kinome Reprogramming Is a Targetable Vulnerability in ESR1 Fusion-Driven Breast Cancer

Posted on 2023-10-02 - 07:20
Abstract

Transcriptionally active ESR1 fusions (ESR1-TAF) are a potent cause of breast cancer endocrine therapy (ET) resistance. ESR1-TAFs are not directly druggable because the C-terminal estrogen/anti-estrogen–binding domain is replaced with translocated in-frame partner gene sequences that confer constitutive transactivation. To discover alternative treatments, a mass spectrometry (MS)–based kinase inhibitor pulldown assay (KIPA) was deployed to identify druggable kinases that are upregulated by diverse ESR1-TAFs. Subsequent explorations of drug sensitivity validated RET kinase as a common therapeutic vulnerability despite remarkable ESR1-TAF C-terminal sequence and structural diversity. Organoids and xenografts from a pan-ET–resistant patient-derived xenograft model that harbors the ESR1-e6>YAP1 TAF were concordantly inhibited by the selective RET inhibitor pralsetinib to a similar extent as the CDK4/6 inhibitor palbociclib. Together, these findings provide preclinical rationale for clinical evaluation of RET inhibition for the treatment of ESR1-TAF–driven ET-resistant breast cancer.

Significance:

Kinome analysis of ESR1 translocated and mutated breast tumors using drug bead-based mass spectrometry followed by drug-sensitivity studies nominates RET as a therapeutic target.

See related commentary by Wu and Subbiah, p. 3159

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FUNDING

Adrienne Helis Malvin Medical Research Foundation

National Cancer Institute (NCI)

United States Department of Health and Human Services

Cancer Prevention and Research Institute of Texas (CPRIT)

NIH Office of the Director (OD)

Robert and Janice McNair Foundation (McNair Foundation)

Susan G. Komen (SGK)

DOD Breast Cancer Research Program

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AUTHORS (16)

  • Xuxu Gou
    Beom-Jun Kim
    Meenakshi Anurag
    Jonathan T. Lei
    Meggie N. Young
    Matthew V. Holt
    Diana Fandino
    Craig T. Vollert
    Purba Singh
    Mohammad A. Alzubi
    Anna Malovannaya
    Lacey E. Dobrolecki
    Michael T. Lewis
    Shunqiang Li
    Charles E. Foulds
    Matthew J. Ellis

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