<p>The co-occurrence of germline and somatic oncogenic alterations is frequently observed in breast cancer, yet their combined influence on tumour evolution and therapy resistance remains poorly defined. Through an integrated clinicogenomic analysis of more than 5,800 patients, we show that germline (g) pathogenic variants dictate the evolutionary trajectory of acquired resistance. We specifically find that g<i>BRCA2</i>-associated tumours are uniquely predisposed to develop acquired <i>RB1</i> loss-of-function alterations, resulting in poor outcomes on standard-of-care frontline CDK4/6 inhibitor (CDK4/6i) combinations. This vulnerability is driven by a dual mechanism: baseline <i>RB1</i> hemizygosity (heterozygous loss resulting in a single functional <i>RB1</i> allele), which lowers the evolutionary barrier to biallelic inactivation, and ongoing homologous recombination deficiency, which promotes acquisition of <i>RB1</i> loss-of-function alterations under the selective pressure of CDK4/6i. Preclinical models from g<i>BRCA2</i> carriers showed near-uniform resistance to CDK4/6i, with consistent post-treatment Rb loss. Across multiple independent models and in our clinical data, PARP inhibition consistently outperformed CDK4/6i. Our findings suggest that prioritizing PARP inhibition in g<i>BRCA2</i> carriers may intercept <i>RB1</i>-loss trajectories and delay resistance. More broadly, we establish a predictive framework for forecasting drug-resistant trajectories based on pre-treatment allelic configuration and mutational signatures.</p>

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Homologous recombination deficiency and hemizygosity drive resistance in breast cancer

  • Anton Safonov,
  • Minna Lee,
  • David N. Brown,
  • Luca Boscolo Bielo,
  • Miika Mehine,
  • Chaitanya Bandlamudi,
  • Ben O’Leary,
  • Hong Shao,
  • Laia Vicente,
  • Daniel Muldoon,
  • Allen Zhu,
  • Susana Ros,
  • Antonio Marra,
  • Pier Selenica,
  • Ivan Bieche,
  • Bradley Wubbenhorst,
  • Emanuela Ferraro,
  • Laura Courtois,
  • Rania El Botty,
  • Mehnaj Ahmed,
  • Enrico Moiso,
  • Julia Ah-Reum An,
  • Mark T. A. Donoghue,
  • Marie Will,
  • Fresia Pareja,
  • Emily Nizialek,
  • Natalia Lukashchuk,
  • Eleni Sofianopoulou,
  • Yuan Liu,
  • Xin Huang,
  • Colombe Chappey,
  • Anna D. Staniszewska,
  • Dara Ross,
  • Diana Mandelker,
  • Marc Ladanyi,
  • Nikolaus Schultz,
  • Michael F. Berger,
  • Maurizio Scaltriti,
  • Jorge S. Reis-Filho,
  • Bob T. Li,
  • Kenneth Offit,
  • Larry Norton,
  • Ronglai Shen,
  • Kara N. Maxwell,
  • Fergus Couch,
  • Susan M. Domchek,
  • Elisabetta Marangoni,
  • Sohrab Shah,
  • Mark R. Albertella,
  • Violeta Serra,
  • Britta Weigelt,
  • David B. Solit,
  • Katherine L. Nathanson,
  • Mark E. Robson,
  • Nicholas C. Turner,
  • Sarat Chandarlapaty,
  • Pedram Razavi

摘要

The co-occurrence of germline and somatic oncogenic alterations is frequently observed in breast cancer, yet their combined influence on tumour evolution and therapy resistance remains poorly defined. Through an integrated clinicogenomic analysis of more than 5,800 patients, we show that germline (g) pathogenic variants dictate the evolutionary trajectory of acquired resistance. We specifically find that gBRCA2-associated tumours are uniquely predisposed to develop acquired RB1 loss-of-function alterations, resulting in poor outcomes on standard-of-care frontline CDK4/6 inhibitor (CDK4/6i) combinations. This vulnerability is driven by a dual mechanism: baseline RB1 hemizygosity (heterozygous loss resulting in a single functional RB1 allele), which lowers the evolutionary barrier to biallelic inactivation, and ongoing homologous recombination deficiency, which promotes acquisition of RB1 loss-of-function alterations under the selective pressure of CDK4/6i. Preclinical models from gBRCA2 carriers showed near-uniform resistance to CDK4/6i, with consistent post-treatment Rb loss. Across multiple independent models and in our clinical data, PARP inhibition consistently outperformed CDK4/6i. Our findings suggest that prioritizing PARP inhibition in gBRCA2 carriers may intercept RB1-loss trajectories and delay resistance. More broadly, we establish a predictive framework for forecasting drug-resistant trajectories based on pre-treatment allelic configuration and mutational signatures.