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


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.

SUBMITTER: Huang RSP 

PROVIDER: S-EPMC7648336 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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

Huang Richard S P RSP   Li Xinyan X   Haberberger James J   Sokol Ethan E   Severson Eric E   Duncan Daniel L DL   Hemmerich Amanda A   Edgerly Claire C   Williams Erik E   Elvin Julia J   Vergilio Jo-Anne JA   Killian Jonathan Keith JK   Lin Douglas D   Hiemenz Matthew M   Xiao Jinpeng J   McEwan Deborah D   Holmes Oliver O   Danziger Natalie N   Erlich Rachel R   Frampton Garrett G   Cohen Michael B MB   McGregor Kimberly K   Reddy Prasanth P   Cardeiro Dawn D   Anhorn Rachel R   Venstrom Jeffrey J   Alexander Brian B   Brown Charlotte C   Pusztai Lajos L   Ross Jeffrey S JS   Ramkissoon Shakti H SH  

The oncologist 20200914 11


<h4>Background</h4>We examined the current biomarker landscape in breast cancer when programmed death-ligand 1 (PD-L1) testing is integrated with comprehensive genomic profiling (CGP).<h4>Material and methods</h4>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 negat  ...[more]

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