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CD4+ follicular helper T cell infiltration predicts breast cancer survival
Chunyan Gu-Trantien, … , Christos Sotiriou, Karen Willard-Gallo
Chunyan Gu-Trantien, … , Christos Sotiriou, Karen Willard-Gallo
Published June 17, 2013
Citation Information: J Clin Invest. 2013;123(7):2873-2892. https://doi.org/10.1172/JCI67428.
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Research Article Oncology

CD4+ follicular helper T cell infiltration predicts breast cancer survival

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Abstract

CD4+ T cells are critical regulators of immune responses, but their functional role in human breast cancer is relatively unknown. The goal of this study was to produce an image of CD4+ T cells infiltrating breast tumors using limited ex vivo manipulation to better understand the in vivo differences associated with patient prognosis. We performed comprehensive molecular profiling of infiltrating CD4+ T cells isolated from untreated invasive primary tumors and found that the infiltrating T cell subpopulations included follicular helper T (Tfh) cells, which have not previously been found in solid tumors, as well as Th1, Th2, and Th17 effector memory cells and Tregs. T cell signaling pathway alterations included a mixture of activation and suppression characterized by restricted cytokine/chemokine production, which inversely paralleled lymphoid infiltration levels and could be reproduced in activated donor CD4+ T cells treated with primary tumor supernatant. A comparison of extensively versus minimally infiltrated tumors showed that CXCL13-producing CD4+ Tfh cells distinguish extensive immune infiltrates, principally located in tertiary lymphoid structure germinal centers. An 8-gene Tfh signature, signifying organized antitumor immunity, robustly predicted survival or preoperative response to chemotherapy. Our identification of CD4+ Tfh cells in breast cancer suggests that they are an important immune element whose presence in the tumor is a prognostic factor.

Authors

Chunyan Gu-Trantien, Sherene Loi, Soizic Garaud, Carole Equeter, Myriam Libin, Alexandre de Wind, Marie Ravoet, Hélène Le Buanec, Catherine Sibille, Germain Manfouo-Foutsop, Isabelle Veys, Benjamin Haibe-Kains, Sandeep K. Singhal, Stefan Michiels, Françoise Rothé, Roberto Salgado, Hugues Duvillier, Michail Ignatiadis, Christine Desmedt, Dominique Bron, Denis Larsimont, Martine Piccart, Christos Sotiriou, Karen Willard-Gallo

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Figure 11

An 8-gene Tfh signature strongly predicts positive clinical outcome in BC.

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An 8-gene Tfh signature strongly predicts positive clinical outcome in B...
(A) Our Tfh (plus CXCL13 alone) and Th1 signatures were tested on public microarray data sets from 794 primary systemically untreated patients with BC for 10-year DFS (Supplemental Table 7). Kaplan-Meier survival curves were generated for the total patient population and 3 major BC subsets: ER–/HER2–, HER2+, and ER+/HER2–; 1 patient was unclassified). Gene expression levels are defined as tertiles of the continuous signature scores: blue, low; green, intermediate; and red, high. P values in red are significant (P < 0.05). (B) Our Tfh (plus CXCL13 alone) and Th1 signatures were also tested on a group of 966 patients for predicting pCR to neoadjuvant chemotherapy (44). Forest plots show the odds ratios (ORs) for pCR in the total patient population and the indicated subtypes. The size of the square (P < 0.05 in red indicates a nominal significant effect) is inversely proportional to the standard error, with the horizontal bars representing the 95% CI of the odds ratio. Signature genes and additional data, including comparisons with published immune signatures, are in Supplemental Table 7.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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