Literature DB >> 32067680

Prevalence and mutational determinants of high tumor mutation burden in breast cancer.

R Barroso-Sousa1, E Jain2, O Cohen2, D Kim2, J Buendia-Buendia2, E Winer3, N Lin3, S M Tolaney3, N Wagle4.   

Abstract

BACKGROUND: High tumor mutation burden (TMB) can benefit immunotherapy for multiple tumor types, but the prevalence of hypermutated breast cancer is not well described. The aim of this study was to evaluate the frequency, mutational patterns, and genomic profile of hypermutated breast cancer. PATIENTS AND METHODS: We used de-identified data from individuals with primary or metastatic breast cancer from six different publicly available genomic studies. The prevalence of hypermutated breast cancer was determined among 3969 patients' samples that underwent whole exome sequencing or gene panel sequencing. The samples were classified as having high TMB if they had ≥10 mutations per megabase (mut/Mb). An additional eight patients were identified from a Dana-Farber Cancer Institute cohort for inclusion in the hypermutated cohort. Among the patients with high TMB, the mutational patterns and genomic profiles were determined. A subset of patients was treated with regimens containing PD-1 inhibitors.
RESULTS: The median TMB was 2.63 mut/Mb. The median TMB significantly varied according to the tumor subtype (HR-/HER2- >HER2+ >HR+/HER2-, P < 0.05) and sample type (metastatic > primary, P = 2.2 × 10-16). Hypermutated tumors were found in 198 patients (5%), with enrichment in metastatic versus primary tumors (8.4% versus 2.9%, P = 6.5 × 10-14). APOBEC activity (59.2%), followed by mismatch repair deficiency (MMRd; 36.4%), were the most common mutational processes among hypermutated tumors. Three patients with hypermutated breast cancer-including two with a dominant APOBEC activity signature and one with a dominant MMRd signature-treated with pembrolizumab-based therapies derived an objective and durable response to therapy.
CONCLUSION: Hypermutation occurs in 5% of all breast cancers with enrichment in metastatic tumors. Different mutational signatures are present in this population with APOBEC activity being the most common dominant process. Preliminary data suggest that hypermutated breast cancers are more likely to benefit from PD-1 inhibitors.
Copyright © 2019 European Society for Medical Oncology. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  APOBEC; breast cancer; immunotherapy; mismatch repair deficiency; mutational signatures; tumor mutational burden

Mesh:

Year:  2020        PMID: 32067680     DOI: 10.1016/j.annonc.2019.11.010

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  71 in total

1.  Tumor Mutational Burden and PTEN Alterations as Molecular Correlates of Response to PD-1/L1 Blockade in Metastatic Triple-Negative Breast Cancer.

Authors:  Romualdo Barroso-Sousa; Tanya E Keenan; Eliezer M Van Allen; Sara M Tolaney; Sonia Pernas; Pedro Exman; Esha Jain; Ana C Garrido-Castro; Melissa Hughes; Brittany Bychkovsky; Renato Umeton; Janet L Files; Neal I Lindeman; Laura E MacConaill; F Stephen Hodi; Ian E Krop; Deborah Dillon; Eric P Winer; Nikhil Wagle; Nancy U Lin; Elizabeth A Mittendorf
Journal:  Clin Cancer Res       Date:  2020-02-04       Impact factor: 12.531

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Journal:  Breast Care (Basel)       Date:  2020-10-07       Impact factor: 2.860

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Review 5.  Emerging Therapeutics for Patients with Triple-Negative Breast Cancer.

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Authors:  Leisha A Emens; Sylvia Adams; Ashley Cimino-Mathews; Mary L Disis; Margaret E Gatti-Mays; Alice Y Ho; Kevin Kalinsky; Heather L McArthur; Elizabeth A Mittendorf; Rita Nanda; David B Page; Hope S Rugo; Krista M Rubin; Hatem Soliman; Patricia A Spears; Sara M Tolaney; Jennifer K Litton
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Review 7.  Biomarkers of Immune Checkpoint Blockade Response in Triple-Negative Breast Cancer.

Authors:  James Isaacs; Carey Anders; Heather McArthur; Jeremy Force
Journal:  Curr Treat Options Oncol       Date:  2021-03-20

Review 8.  Optimal Systemic Treatment for Early Triple-Negative Breast Cancer.

Authors:  Jenny Furlanetto; Sibylle Loibl
Journal:  Breast Care (Basel)       Date:  2020-06-02       Impact factor: 2.860

9.  Clinicopathologic and Genomic Landscape of Breast Carcinoma Brain Metastases.

Authors:  Richard S P Huang; James Haberberger; Kimberly McGregor; Douglas A Mata; Brennan Decker; Matthew C Hiemenz; Mirna Lechpammer; Natalie Danziger; Kelsie Schiavone; James Creeden; Ryon P Graf; Roy Strowd; Glenn J Lesser; Evangelia D Razis; Rupert Bartsch; Athina Giannoudis; Talvinder Bhogal; Nancy U Lin; Lajos Pusztai; Jeffrey S Ross; Carlo Palmieri; Shakti H Ramkissoon
Journal:  Oncologist       Date:  2021-06-23

10.  ITGA3 Is Associated With Immune Cell Infiltration and Serves as a Favorable Prognostic Biomarker for Breast Cancer.

Authors:  Yue Li; Fan Li; Xiaoyu Bai; Yanlei Li; Chunsheng Ni; Xiulan Zhao; Danfang Zhang
Journal:  Front Oncol       Date:  2021-05-20       Impact factor: 6.244

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