Tumor-Infiltrating Lymphocytes and Prognosis: A Pooled Individual Patient Analysis of Early-Stage Triple-Negative Breast Cancers

Sherene Loi(The University of Melbourne), Damien Drubay(Université Paris-Sud), Sylvia Adams(New York University), Giancarlo Pruneri(University of Milan), Prudence A. Francis(The University of Melbourne), Magali Lacroix‐Triki(Université Paris-Saclay), Heikki Joensuu(Helsinki University Hospital), Maria Vittoria Dieci(University of Padua), Sunil Badve(Indiana University – Purdue University Indianapolis), Sandra Demaria(Cornell University), Robert J. Gray(Dana-Farber Cancer Institute), Elisabetta Munzone(European Institute of Oncology), Jérôme Lemonnier(UniCancer Group), Christos Sotiriou(Université Libre de Bruxelles), Martine Piccart(Université Libre de Bruxelles), Pirkko‐Liisa Kellokumpu‐Lehtinen(Tampere University Hospital), Andrea Vingiani(University of Milan), Kathryn P. Gray(Dana-Farber Cancer Institute), Fabrice André(Université Paris-Sud), Carsten Denkert(Charité - Universitätsmedizin Berlin), Roberto Salgado(The University of Melbourne), Stefan Michiels(Université Paris-Sud)
Journal of Clinical Oncology
January 16, 2019
Cited by 882Open Access
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Abstract

Purpose The aim of the current study was to conduct a pooled analysis of studies that have investigated the prognostic value of tumor-infiltrating lymphocytes (TILs) in early-stage triple negative breast cancer (TNBC). Methods Participating studies had evaluated the percentage infiltration of stromally located TILs (sTILs) that were quantified in the same manner in patient diagnostic samples of early-stage TNBC treated with anthracycline-based chemotherapy with or without taxanes. Cox proportional hazards regression models stratified by trial were used for invasive disease-free survival (iDFS; primary end point), distant disease-free survival (D-DFS), and overall survival (OS), fitting sTILs as a continuous variable adjusted for clinicopathologic factors. Results We collected individual data from 2,148 patients from nine studies. Average age was 50 years (range, 22 to 85 years), and 33% of patients were node negative. The average value of sTILs was 23% (standard deviation, 20%), and 77% of patients had 1% or more sTILs. sTILs were significantly lower with older age ( P = .001), larger tumor size ( P = .01), more nodal involvement ( P = .02), and lower histologic grade ( P = .001). A total of 736 iDFS and 548 D-DFS events and 533 deaths were observed. In the multivariable model, sTILs added significant independent prognostic information for all end points (likelihood ratio χ 2 , 48.9 iDFS; P < .001; χ 2 , 55.8 D-DFS; P < .001; χ 2 , 48.5 OS; P < .001). Each 10% increment in sTILs corresponded to an iDFS hazard ratio of 0.87 (95% CI, 0.83 to 0.91) for iDFS, 0.83 (95% CI, 0.79 to 0.88) for D-DFS, and 0.84 (95% CI, 0.79 to 0.89) for OS. In node-negative patients with sTILs ≥ 30%, 3-year iDFS was 92% (95% CI, 89% to 98%), D-DFS was 97% (95% CI, 95% to 99%), and OS was 99% (95% CI, 97% to 100%). Conclusion This pooled data analysis confirms the strong prognostic role of sTILs in early-stage TNBC and excellent survival of patients with high sTILs after adjuvant chemotherapy and supports the integration of sTILs in a clinicopathologic prognostic model for patients with TNBC. This model can be found at www.tilsinbreastcancer.org .


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