| Literature DB >> 35437609 |
Myeong Joon Kim1,2, Kyeong Hee Hong1,2, Bo Ryeong Lee1,2, Sang-Jun Ha3,4.
Abstract
Cancer immunotherapy, which blocks immune checkpoint molecules, is an effective therapeutic strategy for human cancer patients through restoration of tumor-infiltrating (TI) cell function. However, evaluating the efficacy of immune checkpoint inhibitors (ICIs) is difficult because no standard in vitro assay for ICI efficacy evaluation exists. Additionally, blocking a particular immune checkpoint receptor (ICR) is insufficient to restore T cell functionality, because other ICRs still transduce inhibitory signals. Therefore, limiting inhibitory signals transduced via other ICRs is needed to more accurately assess the efficacy of ICIs targeting a particular immune checkpoint. Here, we introduce a newly developed in vitro coculture assay using human peripheral blood mononuclear cells (hPBMCs) and engineered human cancer cell lines. We enriched CD8+ T cells from hPBMCs of healthy donors through low-dose T cell receptor stimulation and cytokine (human IL-2 and IL-7) addition. These enriched CD8+ T cells were functional and expressed multiple ICRs, especially TIM-3 and TIGIT. We also established immune checkpoint ligand (ICL) knockout (KO) cancer cell lines with the CRISPR-Cas9 system. Then, we optimized the in vitro coculture assay conditions to evaluate ICI efficacy. For example, we selected the most effective anti-TIM-3 antibody through coculture of TIM-3+CD8+ T cells with PD-L1-/-PVR-/- cancer cells. In summary, we developed a mechanism-based in vitro coculture assay with hPBMCs and ICL KO cancer cell lines, which could be a useful tool to identify promising ICIs by providing reliable ICI efficacy information.Entities:
Keywords: Human peripheral blood mononuclear cells; Immune checkpoint ligand knockout cell lines; Immune checkpoint receptor-blocking antibody; In vitro coculture assay
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Year: 2022 PMID: 35437609 DOI: 10.1007/s00262-022-03201-9
Source DB: PubMed Journal: Cancer Immunol Immunother ISSN: 0340-7004 Impact factor: 6.630