TY - JOUR
T1 - 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
AU - Abuhadra, Nour
AU - Sun, Ryan
AU - Yam, Clinton
AU - Rauch, Gaiane M.
AU - Ding, Qingqing
AU - Lim, Bora
AU - Thompson, Alastair M.
AU - Mittendorf, Elizabeth A.
AU - Adrada, Beatriz E.
AU - Damodaran, Senthil
AU - Virani, Kiran
AU - White, Jason
AU - Ravenberg, Elizabeth
AU - Sun, Jia
AU - Choi, Jaihee
AU - Candelaria, Rosalind
AU - Arun, Banu
AU - Ueno, Naoto T.
AU - Santiago, Lumarie
AU - Saleem, Sadia
AU - Abouharb, Sausan
AU - Murthy, Rashmi K.
AU - Ibrahim, Nuhad
AU - Sahin, Aysegul
AU - Valero, Vicente
AU - Symmans, William Fraser
AU - Litton, Jennifer K.
AU - Tripathy, Debu
AU - Moulder, Stacy
AU - Huo, Lei
N1 - Publisher Copyright:
© 2023 by the authors.
PY - 2023/7
Y1 - 2023/7
N2 - 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.
AB - 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.
KW - Ki-67
KW - neoadjuvant chemotherapy
KW - pathologic complete response
KW - predictor
KW - triple-negative breast cancer
KW - tumor-infiltrating lymphocytes
UR - http://www.scopus.com/inward/record.url?scp=85164821592&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85164821592&partnerID=8YFLogxK
U2 - 10.3390/cancers15133275
DO - 10.3390/cancers15133275
M3 - Article
C2 - 37444385
AN - SCOPUS:85164821592
SN - 2072-6694
VL - 15
JO - Cancers
JF - Cancers
IS - 13
M1 - 3275
ER -