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Characterizing the role of the CD58-CD2 axis in anti-cancer immunity

Immune checkpoint blockade (ICB) therapies have transformed the treatment landscape for advanced melanoma, extending patient survival and improving quality of life for numerous patients with a disease that was once considered to be universally fatal. However, despite the success of ICB for many patients, over half are either resistant to initial therapy, or develop resistance over time after an initial response. The mechanisms underlying this therapy resistance remain unclear for the majority of patients. We have recently identified loss of the co-stimulatory and adhesion molecule CD58 on melanoma cells as a driver for cancer immune evasion and ICB resistance.

In this thesis, we use in vitro co-culture models of patient-derived melanoma cells and tumor infiltrating lymphocytes as well as in vivo patient-derived xenograft models to demonstrate the necessity of CD58 interactions with its ligand CD2 on T cells for T cell activation, tumor infiltration, and effector cytotoxicity. Furthermore, using genome-wide genetic and protein screening approaches, we identify CMTM6 as a positive regulator of CD58, and uncover its role in mediating CD58’s regulation of inhibitory PD-L1 signaling by binding to both proteins and preventing their lysosomal degradation. Thus, CMTM6 co-regulates these co- inhibitory and co-stimulatory signals such that, in the absence of CD58, CMTM6 becomes available to bind and stabilize additional PD-L1, enhancing its inhibitory signals to T cells.

Finally, we identify a potential role for CD58 on T cells as a marker of effector memory T cells with enhanced effector and progenitor function. The CD58-CD2 axis therefore serves a multi-faceted, underappreciated role in melanoma cancer immunity, and may serve as a therapeutic target for enhancing anti-tumor T cell responses.

Identiferoai:union.ndltd.org:columbia.edu/oai:academiccommons.columbia.edu:10.7916/9at8-yv29
Date January 2024
CreatorsHo, Patricia
Source SetsColumbia University
LanguageEnglish
Detected LanguageEnglish
TypeTheses

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