Predictive Roles of Baseline Stromal Tumor-Infiltrating Lymphocytes and Ki-67 in Pathologic Complete Response in an Early-Stage Triple-Negative Breast Cancer Prospective Trial

Author:

Abuhadra Nour1,Sun Ryan2,Yam Clinton1,Rauch Gaiane M.3,Ding Qingqing4,Lim Bora5ORCID,Thompson Alastair M.6,Mittendorf Elizabeth A.7,Adrada Beatriz E.3,Damodaran Senthil1,Virani Kiran8,White Jason1,Ravenberg Elizabeth1,Sun Jia2,Choi Jaihee9,Candelaria Rosalind3,Arun Banu1,Ueno Naoto T.1ORCID,Santiago Lumarie3,Saleem Sadia1,Abouharb Sausan1,Murthy Rashmi K.1,Ibrahim Nuhad1,Sahin Aysegul4,Valero Vicente1,Symmans William Fraser4,Litton Jennifer K.1,Tripathy Debu1ORCID,Moulder Stacy1,Huo Lei4

Affiliation:

1. Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA

2. Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA

3. Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA

4. Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA

5. Department of Oncology, Baylor College of Medicine, Houston, TX 77030, USA

6. Division of Surgical Oncology, Section of Breast Surgery, Baylor College of Medicine, Houston, TX 77030, USA

7. Division of Breast Surgery, Department of Surgery, Brigham and Women’s Hospital, Boston, MA 02115, USA

8. Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA

9. Department of Statistics, Rice University, Houston, TX 77005, USA

Abstract

High stromal tumor-infiltrating lymphocytes (sTILs) are associated with improved pathologic complete response (pCR) in triple-negative breast cancer (TNBC). We hypothesize that integrating high sTILs and additional clinicopathologic features associated with pCR could enhance our ability to predict the group of patients on whom treatment de-escalation strategies could be tested. In this prospective early-stage TNBC neoadjuvant chemotherapy study, pretreatment biopsies from 408 patients were evaluated for their clinical and demographic features, as well as biomarkers including sTILs, Ki-67, PD-L1 and androgen receptor. Multivariate logistic regression models were developed to generate a computed response score to predict pCR. The pCR rate for the entire cohort was 41%. Recursive partitioning analysis identified ≥20% as the optimal cutoff for sTILs to denote 35% (143/408) of patients as having high sTILs, with a pCR rate of 59%, and 65% (265/408) of patients as having low sTILs, with a pCR rate of 31%. High Ki-67 (cutoff > 35%) was identified as the only predictor of pCR in addition to sTILs in the training set. This finding was verified in the testing set, where the highest computed response score encompassing both high sTILa and high Ki-67 predicted a pCR rate of 65%. Integrating Ki67 and sTIL may refine the selection of early stage TNBC patients for neoadjuvant clinical trials evaluating de-escalation strategies.

Funder

Conquer Cancer Foundation ASCO Merit Award

Still Water Foundation

CPRIT Multi-Investigator Research Award

University of Texas MD Anderson Cancer Center

Amgen Inc.

Astellas Pharma Global Development, Inc.

Genentech, USA Inc.

Novartis AG

Pfizer Inc.

Publisher

MDPI AG

Subject

Cancer Research,Oncology

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