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Targeting PILRα, an immune checkpoint mediating T cell suppression, for cancer immunotherapy

GSE254013 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2025/02/22 Platform GPL20795
Summary
One of the most successful therapies in cancer treatment involves immune checkpoint blockade using the anti-programmed death-1 (anti-PD-1)/programmed death-ligand 1 (PD-L1) antibody, which targets the interaction between tumors and T cells. However, the overall response rate is < 30% in patients with cancer. Therefore, there is an urgent need to identify additional immune checkpoints that can modulate T-cell function. In this study, we identified the tumor cell-expressed paired Ig-like type 2 receptor α (PILRα) as an immune suppressor that targets T cells, using a high-throughput screening approach. PILRα suppresses T-cell activation, proliferation, and effector function in both cultured cells and mouse xenograft and allograft models. It specifically targets CD99, a T cell surface antigen, to suppress the ZAP70/NFAT/IL2/JAK/STAT signaling in T cells. The cluster of O-glycosylated serine (Ser)/threonine (Thr) residues within the stalk region plays a critical role in PILRα–CD99 interactions, thereby influencing the immunosuppressive function of PILRα. Blocking interactions between PILRα and CD99 using an anti-PILRα antibody that targets the stalk region potently enhances T cell antitumor immunity and suppresses tumor growth. Additionally, when combined anti-PILRα with anti-PD-1 antibodies, synergistic effects on tumor suppression were observed. Notably, PILRα is highly expressed in various human cancers, and its expression levels serve as a predictive marker for poor prognosis in patients with cancer. Taken together, our results unveil PILRα as an immune checkpoint and highlight the promising therapeutic potential of targeting PILRα in clinical cancer immunotherapy.
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Direct links to NCBI, no account and no request form: the whole study as GSE254013_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1068114 and SRA study SRP485461. Searching any of these in the dataset finder brings you back here.

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