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Immune Phenotype and Response to Neoadjuvant Therapy in Triple-Negative Breast Cancer.

Authors :
Yam C
Yen EY
Chang JT
Bassett RL
Alatrash G
Garber H
Huo L
Yang F
Philips AV
Ding QQ
Lim B
Ueno NT
Kannan K
Sun X
Sun B
Parra Cuentas ER
Symmans WF
White JB
Ravenberg E
Seth S
Guerriero JL
Rauch GM
Damodaran S
Litton JK
Wargo JA
Hortobagyi GN
Futreal A
Wistuba II
Sun R
Moulder SL
Mittendorf EA
Source :
Clinical cancer research : an official journal of the American Association for Cancer Research [Clin Cancer Res] 2021 Oct 01; Vol. 27 (19), pp. 5365-5375.
Publication Year :
2021

Abstract

Purpose: Increasing tumor-infiltrating lymphocytes (TIL) is associated with higher rates of pathologic complete response (pCR) to neoadjuvant therapy (NAT) in patients with triple-negative breast cancer (TNBC). However, the presence of TILs does not consistently predict pCR, therefore, the current study was undertaken to more fully characterize the immune cell response and its association with pCR.<br />Experimental Design: We obtained pretreatment core-needle biopsies from 105 patients with stage I-III TNBC enrolled in ARTEMIS (NCT02276443) who received NAT from Oct 22, 2015 through July 24, 2018. The tumor-immune microenvironment was comprehensively profiled by performing T-cell receptor (TCR) sequencing, programmed death-ligand 1 (PD-L1) IHC, multiplex immunofluorescence, and RNA sequencing on pretreatment tumor samples. The primary endpoint was pathologic response to NAT.<br />Results: The pCR rate was 40% (42/105). Higher TCR clonality (median = 0.2 vs. 0.1, P = 0.03), PD-L1 positivity (OR: 2.91, P = 0.020), higher CD3+:CD68+ ratio (median = 14.70 vs. 8.20, P = 0.0128), and closer spatial proximity of T cells to tumor cells (median = 19.26 vs. 21.94 μm, P = 0.0169) were associated with pCR. In a multivariable model, closer spatial proximity of T cells to tumor cells and PD-L1 expression enhanced prediction of pCR when considered in conjunction with clinical stage.<br />Conclusions: In patients receiving NAT for TNBC, deep immune profiling through detailed phenotypic characterization and spatial analysis can improve prediction of pCR in patients receiving NAT for TNBC when considered with traditional clinical parameters.<br /> (©2021 American Association for Cancer Research.)

Details

Language :
English
ISSN :
1557-3265
Volume :
27
Issue :
19
Database :
MEDLINE
Journal :
Clinical cancer research : an official journal of the American Association for Cancer Research
Publication Type :
Academic Journal
Accession number :
34253579
Full Text :
https://doi.org/10.1158/1078-0432.CCR-21-0144