DNA repair deficiency biomarkers and the 70-gene ultra-high risk signature as predictors of veliparib/carboplatin response in the I-SPY 2 breast cancer trial

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作者
Denise M. Wolf
Christina Yau
Ashish Sanil
Annuska Glas
Emanuel Petricoin
Julia Wulfkuhle
Tesa M. Severson
Sabine Linn
Lamorna Brown-Swigart
Gillian Hirst
Meredith Buxton
Angela DeMichele
Nola Hylton
Fraser Symmans
Doug Yee
Melissa Paoloni
Laura Esserman
Don Berry
Hope Rugo
Olufunmilayo Olopade
Laura van ‘t Veer
机构
[1] University of California,Department of Laboratory Medicine
[2] San Francisco,Department of Surgery
[3] University of California,Center for Applied Proteomics and Molecular Medicine
[4] San Francisco,Division of Molecular Pathology
[5] Berry Consultants,Division of Hematology Oncology
[6] LLC,Department of Radiology
[7] Agendia,Division of Pathology
[8] Inc.,Department of Medicine
[9] George Mason University,Department of Medicine
[10] Netherlands Cancer Institute,Department of Medicine
[11] QuantumLeap Healthcare Collaborative,undefined
[12] University of Pennsylvania,undefined
[13] University of California,undefined
[14] San Francisco,undefined
[15] University of Texas,undefined
[16] University of Minnesota,undefined
[17] University of California,undefined
[18] San Francisco,undefined
[19] University of Chicago,undefined
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Veliparib combined with carboplatin (VC) was an experimental regimen evaluated in the biomarker-rich neoadjuvant I-SPY 2 trial for breast cancer. VC showed improved efficacy in the triple negative signature. However, not all triple negative patients achieved pathologic complete response and some HR+HER2− patients responded. Pre-specified analysis of five DNA repair deficiency biomarkers (BRCA1/2 germline mutation; PARPi-7, BRCA1ness, and CIN70 expression signatures; and PARP1 protein) was performed on 116 HER2− patients (VC: 72 and concurrent controls: 44). We also evaluated the 70-gene ultra-high risk signature (MP1/2), one of the biomarkers used to define subtype in the trial. We used logistic modeling to assess biomarker performance. Successful biomarkers were combined using a simple voting scheme to refine the ‘predicted sensitive’ group and Bayesian modeling used to estimate the pathologic complete response rates. BRCA1/2 germline mutation status associated with VC response, but its low prevalence precluded further evaluation. PARPi-7, BRCA1ness, and MP1/2 specifically associated with response in the VC arm but not the control arm. Neither CIN70 nor PARP1 protein specifically predicted VC response. When we combined the PARPi-7 and MP1/2 classifications, the 42% of triple negative patients who were PARPi7-high and MP2 had an estimated pCR rate of 75% in the VC arm. Only 11% of HR+/HER2− patients were PARPi7-high and MP2; but these patients were also more responsive to VC with estimated pathologic complete response rates of 41%. PARPi-7, BRCA1ness and MP1/2 signatures may help refine predictions of VC response, thereby improving patient care.
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