Evaluation of predictive biomarkers for AR therapy and to identify the LAR subtype of TNBC.

Authors

null

Sahil Seth

The University of Texas MD Anderson Cancer Center, Houston, TX

Sahil Seth , James Crespo , Lei Huo , Alastair Mark Thompson , Elizabeth A. Mittendorf , Kenneth R. Hess , Jennifer Keating Litton , Gaiane M Rauch , Beatriz E Adrada , Senthil Damodaran , Rosalind P Candelaria , Banu Arun , Wei Tse Yang , Lumarie Santiago , Rashmi Krishna Murthy , Aysegul A. Sahin , William Fraser Symmans , Stacy L. Moulder , Naoto T. Ueno , Bora Lim

Organizations

The University of Texas MD Anderson Cancer Center, Houston, TX, University of Texas MD Anderson Cancer Center, Houston, TX, The Morgan Welch Inflammatory Breast Cancer Program and Clinic, University of Texas M. D. Anderson Cancer Center, Houston, TX, Baylor College of Medicine, Houston, TX, Dana-Farber/Brigham and Women’s Cancer Center, Boston, MA, Morgan Welch Inflammatory Breast Cancer Research Program and Clinic, The University of Texas MD Anderson Cancer Center, Houston, TX, Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX

Research Funding

Other

Background: Androgen-receptor-like (LAR) triple-negative breast cancer (TNBC) is a subtype identified using Vanderbilt’s molecular signature. LAR subtype has the lowest pCR rate for NACT among all TNBC subtypes (10% vs. 28% for TNBC in general). We launched a clinical trial to determine the effectiveness of enzalutamide and paclitaxel (ZT) in improving this poor chemo. response in the neoadjuvant setting for pts with anthracycline-refractory, androgen receptor (AR)+ TNBC (NCT02689427). However, we do not yet have a robust predictive biomarker to detect an activated AR pathway and have not seen a robust correlation between molecular LAR subtype and AR IHC staining intensity. Methods: Molecular profiling and immunohistochemical analysis of key biomarkers (LAR, Ki67, and vimentin) was performed for all pts enrolled in A Randomized triple negative breast cancer enrolling Trial to Confirm Molecular Profiling Improves Survival (ARTEMIS; NCT02276443). Patients receive 4 cycles of AC, followed by an experimental arm or standard taxane, tailored using nuclear IHC staining. IHC staining of ≥30% AR+ was used as a threshold for selection for enzalutamide combination arm. We evaluated the concordance between LAR-subtype using molecular profiling vs % AR+ cells via IHC. Results: As part of the clinical trial, tumors with ≥30% AR+ cells were classified as LAR. In addition, we used RNA profiling to assign Vanderbilt subtype scores, resulting in classification of 15 tumors as LAR+. We observed a significant correlation (r=0.75) between LAR score and %AR+ cells, with 13 of 15 LAR tumors having ≥30% AR+ cells. Among patients with high % of AR+ tumor cells, 11 received enzalutamide, with 43% (3/7) having responses (pCR or RCB-I). Conclusions: Comparison on numerical scores for Vanderbilt subtype and IHC scores suggests ≥30% AR+ IHC staining as the threshold (ppv=0.65, npv=0.98, Table) to identify the molecular LAR subtype. We observed a trend where response rate was higher in patients with ≥ AR+ IHC scores treated with enzalutamide; however, these results need confirmation in a larger cohort of patients. Clinical trial information: NCT02689427, NCT02276443

AR >=30%OtherLAR
No1272
Yes713
PPV0.65
NPV0.98

PPV, positive predictive value; NPV, negative predictive value.

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Abstract Details

Meeting

2019 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Breast Cancer—Local/Regional/Adjuvant

Track

Breast Cancer

Sub Track

Neoadjuvant Therapy

Clinical Trial Registration Number

NCT02689427, NCT02276443

Citation

J Clin Oncol 37, 2019 (suppl; abstr 595)

DOI

10.1200/JCO.2019.37.15_suppl.595

Abstract #

595

Poster Bd #

87

Abstract Disclosures