Nectin-2 Expression on Malignant Plasma Cells Is Associated with Better Response to TIGIT Blockade in Multiple Myeloma.

Lozano, Ester; Mena, Mari-Pau; Díaz, Tania; Martin-Antonio, Beatriz; León, Sheila; Rodríguez-Lobato, Luis-Gerardo; Oliver-Caldés, Aina; Cibeira, Maria Teresa et al. · Clin Cancer Res · 2020

basic_science · Level V

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Abstract

T-cell immunoreceptor with Ig and ITIM domain (TIGIT) blockade could represent an alternative therapeutic option to release the immune response in patients with multiple myeloma. Here we analyzed the expression of TIGIT and its ligands poliovirus receptor (PVR) and nectin-2 in the bone marrow (BM) of patients with monoclonal gammopathies and the efficacy of TIGIT blockade activating antimyeloma immunity. Expression levels of TIGIT and its ligands were characterized by flow cytometry and ELISA. TIGIT blockade was analyzed in <i>in vitro</i> functional assays with peripheral T cells. BM cells were studied with NanoString technology, real-time PCR, and <i>ex vivo</i> patient BM cell models. TIGIT and its ligands are highly expressed in the BM of patients with multiple myeloma, suggesting that may play a role in restraining immune activation. TIGIT blockade depleted FoxP3<sup>+</sup> Tregs while increasing proliferation of IFNγ-producing CD4<sup>+</sup> T cells from patients with multiple myeloma. PVR ligation inhibited CD8<sup>+</sup> T-cell signaling and cell proliferation which could be overcome with anti-TIGIT mAb. However, BM cells showed a remarkable heterogeneity in immune signature. Accordingly, functional <i>ex vivo</i> BM assays revealed that only some patients respond to checkpoint blockade. Thus, response to TIGIT blockade correlated with low frequency of TIGIT<sup>+</sup> cells and high nectin-2 expression on malignant plasma cells. TIGIT blockade efficiently reinvigorated peripheral T cells from patients with multiple myeloma. However, in the BM, the efficacy of blocking anti-TIGIT mAb to achieve tumor cell death may depend on the expression of TIGIT and nectin-2, becoming potential predictive biomarkers for identifying patients who may benefit from TIGIT blockade.

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