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Dynamic molecular monitoring reveals that SWI–SNF mutations mediate resistance to ibrutinib plus venetoclax in mantle cell lymphoma

  • Rishu Agarwal
  • , Yih Chih Chan
  • , Constantine S. Tam
  • , Tane Hunter
  • , Dane Vassiliadis
  • , Charis E. Teh
  • , Rachel Thijssen
  • , Paul Yeh
  • , Stephen Q. Wong
  • , Sarah Ftouni
  • , Enid Y.N. Lam
  • , Mary Ann Anderson
  • , Christiane Pott
  • , Omer Gilan
  • , Charles C. Bell
  • , Kathy Knezevic
  • , Piers Blombery
  • , Kathleen Rayeroux
  • , Adrian Zordan
  • , Jason Li
  • David C.S. Huang, Meaghan Wall, John F. Seymour, Daniel H.D. Gray, Andrew W. Roberts, Mark A. Dawson*, Sarah Jane Dawson
*Corresponding author for this work
  • Peter Maccallum Cancer Centre
  • University of Melbourne
  • St. Vincent's Hospital Melbourne
  • Walter and Eliza Hall Institute of Medical Research
  • Kiel University
  • Victorian Cancer Cytogenetics Service
  • St Vincent's Institute of Medical Research

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Ibrutinib plus venetoclax is a highly effective combination in mantle cell lymphoma. However, strategies to enable the evaluation of therapeutic response are required. Our prospective analyses of patients within the AIM study revealed genomic profiles that clearly dichotomized responders and nonresponders. Mutations in ATM were present in most patients who achieved a complete response, while chromosome 9p21.1–p24.3 loss and/or mutations in components of the SWI–SNF chromatin-remodeling complex were present in all patients with primary resistance and two-thirds of patients with relapsed disease. Circulating tumor DNA analysis revealed that these alterations could be dynamically monitored, providing concurrent information on treatment response and tumor evolution. Functional modeling demonstrated that compromise of the SWI–SNF complex facilitated transcriptional upregulation of BCL2L1 (Bcl-xL) providing a selective advantage against ibrutinib plus venetoclax. Together these data highlight important insights into the molecular basis of therapeutic response and provide a model for real-time assessment of innovative targeted therapies.

Original languageEnglish
Pages (from-to)119-129
Number of pages11
JournalNature medicine
Volume25
Issue number1
DOIs
Publication statusPublished - 1 Jan 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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