Literature DB >> 32869930

Biomarkers in Breast Cancer: An Integrated Analysis of Comprehensive Genomic Profiling and PD-L1 Immunohistochemistry Biomarkers in 312 Patients with Breast Cancer.

Richard S P Huang1, Xinyan Li1, James Haberberger1, Ethan Sokol2, Eric Severson1, Daniel L Duncan1, Amanda Hemmerich1, Claire Edgerly1, Erik Williams2, Julia Elvin2, Jo-Anne Vergilio2, Jonathan Keith Killian2, Douglas Lin2, Matthew Hiemenz2, Jinpeng Xiao1, Deborah McEwan2, Oliver Holmes2, Natalie Danziger2, Rachel Erlich2, Garrett Frampton2, Michael B Cohen3, Kimberly McGregor2, Prasanth Reddy2, Dawn Cardeiro2, Rachel Anhorn2, Jeffrey Venstrom2, Brian Alexander2, Charlotte Brown1, Lajos Pusztai4, Jeffrey S Ross2,5, Shakti H Ramkissoon1,3.   

Abstract

BACKGROUND: We examined the current biomarker landscape in breast cancer when programmed death-ligand 1 (PD-L1) testing is integrated with comprehensive genomic profiling (CGP).
MATERIAL AND METHODS: We analyzed data from samples of 312 consecutive patients with breast carcinoma tested with both CGP and PD-L1 (SP142) immunohistochemistry (IHC) during routine clinical care. These samples were stratified into hormone receptor positive (HR+)/human epidermal growth factor receptor negative (HER2-; n = 159), HER2-positive (n = 32), and triple-negative breast cancer (TNBC) cohorts (n = 121).
RESULTS: We found that in the TNBC cohort, 43% (52/121) were immunocyte PD-L1-positive, and in the HR+/HER2- cohort, 30% (48/159) had PIK3CA companion diagnostics mutations, and hence were potentially eligible for atezolizumab plus nab-paclitaxel or alpelisib plus fulvestrant, respectively. Of the remaining 212 patients, 10.4% (22/212) had a BRCA1/2 mutation, which, if confirmed by germline testing, would allow olaparib plus talazoparib therapy. Of the remaining 190 patients, 169 (88.9%) were positive for another therapy-associated marker or a marker that would potentially qualify the patient for a clinical trial. In addition, we examined the relationship between immunocyte PD-L1 positivity and different tumor mutation burden (TMB) cutoffs and found that when a TMB cutoff of ≥9 mutations per Mb was applied (cutoff determined based on prior publication), 11.6% (14/121) patients were TMB ≥9 mutations/Mb and of these, TMB ≥9 mutations per Mb, 71.4% (10/14) were also positive for PD-L1 IHC.
CONCLUSION: Our integrated PD-L1 and CGP methodology identified 32% of the tested patients as potentially eligible for at least one of the two new Food and Drug Administration approved therapies, atezolizumab or alpelisib, and an additional 61.2% (191/312) had other biomarker-guided potential therapeutic options. IMPLICATIONS FOR PRACTICE: This integrated programmed death-ligand 1 immunohistochemistry and comprehensive genomic profiling methodology identified 32% of the tested patients as eligible for at least one of the two new Food and Drug Administration-approved therapies, atezolizumab or alpelisib, and an additional 61.2% (191/312) had other biomarker-guided potential therapeutic options. These findings suggest new research opportunities to evaluate the predictive utility of other commonly seen PIK3CA mutations in hormone receptor-positive breast cancers and to standardize tumor mutation burden cutoffs to evaluate its potentially predictive role in triple-negative breast cancer. © AlphaMed Press 2020.

Entities:  

Keywords:  Biomarkers; Breast carcinoma; Comprehensive genomic profiling; PD-L1 immunohistochemistry

Mesh:

Substances:

Year:  2020        PMID: 32869930      PMCID: PMC7648336          DOI: 10.1634/theoncologist.2020-0449

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  19 in total

1.  Multiple hypothesis testing in genomics.

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Authors:  Jennifer K Litton; Hope S Rugo; Johannes Ettl; Sara A Hurvitz; Anthony Gonçalves; Kyung-Hun Lee; Louis Fehrenbacher; Rinat Yerushalmi; Lida A Mina; Miguel Martin; Henri Roché; Young-Hyuck Im; Ruben G W Quek; Denka Markova; Iulia C Tudor; Alison L Hannah; Wolfgang Eiermann; Joanne L Blum
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Journal:  Science       Date:  2019-11-08       Impact factor: 47.728

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Journal:  Breast Cancer Res Treat       Date:  2008-02-01       Impact factor: 4.872

6.  Features of triple-negative breast cancer: Analysis of 38,813 cases from the national cancer database.

Authors:  Magdalena L Plasilova; Brandon Hayse; Brigid K Killelea; Nina R Horowitz; Anees B Chagpar; Donald R Lannin
Journal:  Medicine (Baltimore)       Date:  2016-08       Impact factor: 1.889

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Authors: 
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Journal:  Onco Targets Ther       Date:  2015-11-11       Impact factor: 4.147

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5.  MYC as a therapeutic target for the treatment of triple-negative breast cancer: preclinical investigations with the novel MYC inhibitor, MYCi975.

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

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