AI Article Synopsis

  • Immune checkpoint inhibition (ICI) has changed cancer therapy, but only some patients experience long-term benefits, highlighting the need for new targets and treatments.* -
  • Researchers utilized the 23andMe database to find a genetic signature linking variations that affect both cancer and immune disease risks, discovering key genes like CD200 and CD200R1.* -
  • They developed a high-affinity antibody (23ME-00610) that inhibits the CD200:CD200R1 interaction, which enhances T-cell activity and reduces tumor growth in mouse models of melanoma.*

Article Abstract

Immune checkpoint inhibition (ICI) has revolutionized cancer treatment; however, only a subset of patients benefit long term. Therefore, methods for identification of novel checkpoint targets and development of therapeutic interventions against them remain a critical challenge. Analysis of human genetics has the potential to inform more successful drug target discovery. We used genome-wide association studies of the 23andMe genetic and health survey database to identify an immuno-oncology signature in which genetic variants are associated with opposing effects on risk for cancer and immune diseases. This signature identified multiple pathway genes mapping to the immune checkpoint comprising CD200, its receptor CD200R1, and the downstream adapter protein DOK2. We confirmed that CD200R1 is elevated on tumor-infiltrating immune cells isolated from cancer patients compared to the matching peripheral blood mononuclear cells. We developed a humanized, effectorless IgG1 antibody (23ME-00610) that bound human CD200R1 with high affinity (K <0.1 nM), blocked CD200 binding, and inhibited recruitment of DOK2. 23ME-00610 induced T-cell cytokine production and enhanced T cell-mediated tumor cell killing in vitro. Blockade of the CD200:CD200R1 immune checkpoint inhibited tumor growth and engaged immune activation pathways in an S91 tumor cell model of melanoma in mice.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10243377PMC
http://dx.doi.org/10.1080/2162402X.2023.2217737DOI Listing

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