A recurrent pathogenic BRCA2 truncating variant reveals a role for BRCA2-PCAF complex in modulating NF-κB-driven transcription.
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Germline monoallelic truncating mutations in BRCA2, a key mediator of homologous recombination (HR), predispose individuals to breast and ovarian cancer. Tumorigenesis is typically attributed to biallelic inactivation, yet evidence suggests haploinsufficiency can suffice in some contexts. We model two pathogenic BRCA2 truncating variants in heterozygosis in non-tumorigenic breast epithelial cells. One variant is not expressed and confers PARP inhibitor (PARPi) sensitivity and reduced HR, indicating haploinsufficiency. In contrast, the other produces a truncated protein that rewires transcription in cells and tumors. Mechanistically, this truncated product acts as a dominant negative by forming abnormal oligomers with full-length BRCA2 and sequestering the PCAF acetyltransferase. This interaction reduces global histone H4 acetylation and suppresses NF-κB transcriptional activity, ultimately altering epithelial migration. Our findings reveal a BRCA2-PCAF axis that modulates NF-κB signaling, a process co-opted by a recurrent BRCA2 pathogenic variant.
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Acknowledgements: We thank all the members of the Carreira lab for their insightful comments on the manuscript. We thank the CRB of Institut Curie (FR) for making available tissue samples used in this work and gratefully acknowledge the patients who donated. We thank Dr. Sandrine Caputo (Institut Curie, FR) for the clinical information on some of the tumor data presented in Supplementary Data 1. We thank MD Katherine L. Nathanson and MD Susan Domchek (Penn. University) for insightful discussions and for providing LOH status information on some of the c.5946delT tumors in Supplementary Data 1. We thank Miguel Angel Quintela’s lab (CNIO, SP) for their help in generating organoids. We also thank Maaike Vreeswijk (Leiden Univ.) for helping find information on tumors through the CIMBA consortium and for insightful comments. We thank Anna P. Sokolenko for providing the LOH analysis of some of the c.5946delT tumors in Supplementary Data 1. We also acknowledge Stéphan Vagner and Sarah Lambert (Institut Curie, FR) for insightful comments on the manuscript. We are grateful to Prof. Kyle M. Miller (University of Texas, US) for the plasmid expressing PCAF-GFP and GFP control vector. We thank Eva Sacristán from the Biocomputational Analysis Core Facility at the Centro de Biología Molecular Severo Ochoa (CBM) (CSIC-UAM) for her help in retrieving LOH information from public databases and her support in this project. We also thank the Advanced Light Microscopy and Flow Cytometry facilities of CBM for their technical support. This work was supported by funding from ICGex (Institut Curie), Innovation Award from the Basser Center for BRCA external grant program (Penn. Medicine, USA), the French Breast Cancer Association Ruban Rose “Avenir Prize”, Matmut, the Worldwide Cancer Research and the Spanish Association for Cancer Research (AECC) grant 22-0222 to A.C. A.M. was supported by a French governmental fellowship and a 4th year PhD Fellowship from the French Medical Research Foundation (FRM). S.R.C. was supported by Agencia Española de Investigación (MCIN/AEI) [PID2020115977RB-I00] and [PID2023-150953NB-I00] grants to A.C. E.I. was supported by the Russian Science Foundation (grant 21-75-30015). M.B. was supported by Göngum Saman. High-throughput sequencing was performed by the ICGex NGS platform of the Institut Curie, supported by the grants ANR-10-EQPX-03 (Equipex) and ANR-10-INBS-09-08 (France Génomique Consortium) from the Agence Nationale de la Recherche (“Investissements d’Avenir” program), by the ITMO-Cancer Aviesan (Plan Cancer III), and by the SiRIC-Curie program (SiRIC Grant INCa-DGOS-465 and INCa-DGOS-Inserm_12554). Data management, quality control, and primary analysis were performed by the Bioinformatics platform of the Institut Curie. The Carreira lab is part of the Conexion-Genoma and Conexion-Cancer CSIC hubs.
Funder: Ministère de l'Enseignement Supérieur, de la Recherche, de la Science et de la Technologie (MESRST); doi: https://doi.org/10.13039/501100004524
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2041-1723

