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Self-associated molecular patterns mediate cancer immune evasion by engaging Siglecs on T cells
Michal A. Stanczak, … , Alfred Zippelius, Heinz Läubli
Michal A. Stanczak, … , Alfred Zippelius, Heinz Läubli
Published August 21, 2018
Citation Information: J Clin Invest. 2018;128(11):4912-4923. https://doi.org/10.1172/JCI120612.
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Research Article Immunology Oncology

Self-associated molecular patterns mediate cancer immune evasion by engaging Siglecs on T cells

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Abstract

First-generation immune checkpoint inhibitors, including anti–CTLA-4 and anti–programmed death 1 (anti–PD-1) antibodies, have led to major clinical progress, yet resistance frequently leads to treatment failure. Thus, new targets acting on T cells are needed. CD33-related sialic acid–binding immunoglobulin-like lectins (Siglecs) are pattern-recognition immune receptors binding to a range of sialoglycan ligands, which appear to function as self-associated molecular patterns (SAMPs) that suppress autoimmune responses. Siglecs are expressed at very low levels on normal T cells, and these receptors were not until recently considered as interesting targets on T cells for cancer immunotherapy. Here, we show an upregulation of Siglecs, including Siglec-9, on tumor-infiltrating T cells from non–small cell lung cancer (NSCLC), colorectal, and ovarian cancer patients. Siglec-9–expressing T cells coexpressed several inhibitory receptors, including PD-1. Targeting of the sialoglycan-SAMP/Siglec pathway in vitro and in vivo resulted in increased anticancer immunity. T cell expression of Siglec-9 in NSCLC patients correlated with reduced survival, and Siglec-9 polymorphisms showed association with the risk of developing lung and colorectal cancer. Our data identify the sialoglycan-SAMP/Siglec pathway as a potential target for improving T cell activation for immunotherapy.

Authors

Michal A. Stanczak, Shoib S. Siddiqui, Marcel P. Trefny, Daniela S. Thommen, Kayluz Frias Boligan, Stephan von Gunten, Alexandar Tzankov, Lothar Tietze, Didier Lardinois, Viola Heinzelmann-Schwarz, Michael von Bergwelt-Baildon, Wu Zhang, Heinz-Josef Lenz, Younghun Han, Christopher I. Amos, Mohammedyaseen Syedbasha, Adrian Egli, Frank Stenner, Daniel E. Speiser, Ajit Varki, Alfred Zippelius, Heinz Läubli

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Figure 3

Sig9+CD8+ TILs are a distinct subset within intratumoral CD8+ T cells.

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Sig9+CD8+ TILs are a distinct subset within intratumoral CD8+ T cells.
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(A and B) Upregulation of the activation markers CD25 (A) and CD69 (B) on Sig9–CD8+ or Sig9+ TILs sorted from primary NSCLC samples and activated with anti-CD3/28 antibodies for 48 hours (n = 9). Statistical analysis by paired Student’s t test. (C) ELISA analysis of IFN-γ in the supernatant of sorted Sig9–CD8+ T cells or Sig9+CD8+ T cells (n = 3–7, independent patients). Cells were sorted from PBMCs of healthy donors or primary NSCLC samples (TILs). Act, activated. Supernatants from 50,000 cells were analyzed. (D) Analysis of TNF-α in the supernatant of sorted Sig9–CD8+ or Sig9+CD8+ cells from healthy donors or NSCLC patient samples (n = 3–7, independent donors/patients). Statistical analysis performed by 1-way ANOVA. (E) Expression level of CD5 in the CD8+PD-1hi population on Sig9– TILs and Sig9+ TILs (n = 9). (F) Percentage of Sig9–CD8+ TILs or Sig9+CD8+ TILs in primary NSCLC samples that express Ki67 within the PD-1hi population (n = 9). (G) Frequency of CD38hiCD101hi cells on Sig9– and Sig9+CD8+PD-1hi TILs determined by flow cytometric analysis (n = 13). Statistical analysis by paired Student’s t test. *P < 0.05; **P < 0.01; ***P < 0.001. Data are presented as mean ± SD.

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