Literature DB >> 35857626

Genomic and epigenomic BRCA alterations predict adaptive resistance and response to platinum-based therapy in patients with triple-negative breast and ovarian carcinomas.

Francesca Menghi1, Kalyan Banda2,3, Pooja Kumar1, Robert Straub1, Lacey Dobrolecki4, Isabel V Rodriguez5, Susan E Yost6, Harshpreet Chandok1, Marc R Radke5, George Somlo6, Yuan Yuan6, Michael T Lewis7, Elizabeth M Swisher5, Edison T Liu1.   

Abstract

Triple-negative breast cancer (TNBC) and ovarian carcinomas (OvCas) with BRCA1 promoter methylation (BRCA1meth) respond more poorly to alkylating agents compared to those bearing mutations in BRCA1 and BRCA2 (BRCAmut). This is a conundrum given the biologically equivalent homologous recombination deficiency (HRD) induced by these genetic and epigenetic BRCA perturbations. We dissected this problem through detailed genomic analyses of TNBC and OvCa cohorts and experimentation with patient-derived xenografts and genetically engineered cell lines. We found that despite identical downstream genomic mutational signatures associated with BRCA1meth and BRCAmut states, BRCA1meth uniformly associates with poor outcomes. Exposure of BRCA1meth TNBCs to platinum chemotherapy, either as clinical treatment of a patient or as experimental in vivo exposure of preclinical patient derived xenografts, resulted in allelic loss of BRCA1 methylation and increased BRCA1 expression and platinum resistance. These data suggest that, unlike BRCAmut cancers, where BRCA loss is a genetically "fixed" deficiency state, BRCA1meth cancers are highly adaptive to genotoxin exposure and, through reversal of promoter methylation, recover BRCA1 expression and become resistant to therapy. We further found a specific augmented immune transcriptional signal associated with enhanced response to platinum chemotherapy but only in patients with BRCA-proficient cancers. We showed how integrating both this cancer immune signature and the presence of BRCA mutations results in more accurate predictions of patient response when compared to either HRD status or BRCA status alone. This underscores the importance of defining BRCA heterogeneity in optimizing the predictive precision of assigning response probabilities in TNBC and OvCa.

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Year:  2022        PMID: 35857626      PMCID: PMC9585706          DOI: 10.1126/scitranslmed.abn1926

Source DB:  PubMed          Journal:  Sci Transl Med        ISSN: 1946-6234            Impact factor:   19.319


  57 in total

1.  Germline and somatic mutations in homologous recombination genes predict platinum response and survival in ovarian, fallopian tube, and peritoneal carcinomas.

Authors:  Kathryn P Pennington; Tom Walsh; Maria I Harrell; Ming K Lee; Christopher C Pennil; Mara H Rendi; Anne Thornton; Barbara M Norquist; Silvia Casadei; Alexander S Nord; Kathy J Agnew; Colin C Pritchard; Sheena Scroggins; Rochelle L Garcia; Mary-Claire King; Elizabeth M Swisher
Journal:  Clin Cancer Res       Date:  2013-11-15       Impact factor: 12.531

2.  CREST maps somatic structural variation in cancer genomes with base-pair resolution.

Authors:  Jianmin Wang; Charles G Mullighan; John Easton; Stefan Roberts; Sue L Heatley; Jing Ma; Michael C Rusch; Ken Chen; Christopher C Harris; Li Ding; Linda Holmfeldt; Debbie Payne-Turner; Xian Fan; Lei Wei; David Zhao; John C Obenauer; Clayton Naeve; Elaine R Mardis; Richard K Wilson; James R Downing; Jinghui Zhang
Journal:  Nat Methods       Date:  2011-06-12       Impact factor: 28.547

3.  ROCK inhibitor and feeder cells induce the conditional reprogramming of epithelial cells.

Authors:  Xuefeng Liu; Virginie Ory; Sandra Chapman; Hang Yuan; Chris Albanese; Bhaskar Kallakury; Olga A Timofeeva; Caitlin Nealon; Aleksandra Dakic; Vera Simic; Bassem R Haddad; Johng S Rhim; Anatoly Dritschilo; Anna Riegel; Alison McBride; Richard Schlegel
Journal:  Am J Pathol       Date:  2011-12-18       Impact factor: 4.307

4.  Clinical characteristics and outcomes of patients with BRCA1 or RAD51C methylated versus mutated ovarian carcinoma.

Authors:  Sarah S Bernards; Kathryn P Pennington; Maria I Harrell; Kathy J Agnew; Rochelle L Garcia; Barbara M Norquist; Elizabeth M Swisher
Journal:  Gynecol Oncol       Date:  2017-12-09       Impact factor: 5.482

Review 5.  Association of Pathologic Complete Response with Long-Term Survival Outcomes in Triple-Negative Breast Cancer: A Meta-Analysis.

Authors:  Min Huang; Joyce O'Shaughnessy; Jing Zhao; Amin Haiderali; Javier Cortés; Scott D Ramsey; Andrew Briggs; Peter Hu; Vassiliki Karantza; Gursel Aktan; Cynthia Z Qi; Chenyang Gu; Jipan Xie; Muhan Yuan; John Cook; Michael Untch; Peter Schmid; Peter A Fasching
Journal:  Cancer Res       Date:  2020-09-14       Impact factor: 12.701

6.  The tandem duplicator phenotype as a distinct genomic configuration in cancer.

Authors:  Francesca Menghi; Koichiro Inaki; XingYi Woo; Pooja A Kumar; Krzysztof R Grzeda; Ankit Malhotra; Vinod Yadav; Hyunsoo Kim; Eladio J Marquez; Duygu Ucar; Phung T Shreckengast; Joel P Wagner; George MacIntyre; Krishna R Murthy Karuturi; Ralph Scully; James Keck; Jeffrey H Chuang; Edison T Liu
Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-07       Impact factor: 11.205

7.  The Immune Landscape of Cancer.

Authors:  Vésteinn Thorsson; David L Gibbs; Scott D Brown; Denise Wolf; Dante S Bortone; Tai-Hsien Ou Yang; Eduard Porta-Pardo; Galen F Gao; Christopher L Plaisier; James A Eddy; Elad Ziv; Aedin C Culhane; Evan O Paull; I K Ashok Sivakumar; Andrew J Gentles; Raunaq Malhotra; Farshad Farshidfar; Antonio Colaprico; Joel S Parker; Lisle E Mose; Nam Sy Vo; Jianfang Liu; Yuexin Liu; Janet Rader; Varsha Dhankani; Sheila M Reynolds; Reanne Bowlby; Andrea Califano; Andrew D Cherniack; Dimitris Anastassiou; Davide Bedognetti; Younes Mokrab; Aaron M Newman; Arvind Rao; Ken Chen; Alexander Krasnitz; Hai Hu; Tathiane M Malta; Houtan Noushmehr; Chandra Sekhar Pedamallu; Susan Bullman; Akinyemi I Ojesina; Andrew Lamb; Wanding Zhou; Hui Shen; Toni K Choueiri; John N Weinstein; Justin Guinney; Joel Saltz; Robert A Holt; Charles S Rabkin; Alexander J Lazar; Jonathan S Serody; Elizabeth G Demicco; Mary L Disis; Benjamin G Vincent; Ilya Shmulevich
Journal:  Immunity       Date:  2018-04-05       Impact factor: 43.474

Review 8.  Growth rate analysis and efficient experimental design for tumor xenograft studies.

Authors:  Gregory Hather; Ray Liu; Syamala Bandi; Jerome Mettetal; Mark Manfredi; Wen-Chyi Shyu; Jill Donelan; Arijit Chakravarty
Journal:  Cancer Inform       Date:  2014-12-09

9.  Standardized high-throughput evaluation of cell-based compound screens.

Authors:  Peter Frommolt; Roman K Thomas
Journal:  BMC Bioinformatics       Date:  2008-11-12       Impact factor: 3.169

10.  Role of M1-polarized tumor-associated macrophages in the prognosis of advanced ovarian cancer patients.

Authors:  Antonio Macciò; Giulia Gramignano; Maria Cristina Cherchi; Luciana Tanca; Luca Melis; Clelia Madeddu
Journal:  Sci Rep       Date:  2020-04-08       Impact factor: 4.379

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