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Original Research

23ME-00610, a genetically informed, first-in-class antibody targeting CD200R1 to enhance antitumor T cell function

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Article: 2217737 | Received 17 Jan 2023, Accepted 22 May 2023, Published online: 05 Jun 2023
 

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 (KD <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.

Acknowledgments

Scientific writing and editorial assistance was provided by Rand Miller, Ph.D. We would like to thank Steve Pitts, Adam Auton, Alex Owyang, Germaine Fuh, and Louise Scharf for their scientific guidance. We thank past and present 23andMe Therapeutics scientists who contributed to 23ME-00610, including Ben Chung, Pete Yeung, Patrick Koenig, Lance Larrabee, Jean Crilly, Mike Eby, Tina Thai, Shiteng Duan, Suk Lee, Dina Ayupova, Sushil Kumar, and Pierre Fontanillas. 23andMe is grateful to the millions of participants who consented to using their genetic and health survey data for research.

The results associated with TCGA are based upon data generated by the TCGA Research Network: https://www.cancer.gov/tcga.

Disclosure statement

XF, YH, CM, ELL, TP, AZ, MP, SRM, DG, MS, CCL: Employees of 23andMe JF, CB, CL, ZY, WC, AC: Employees of 23andMe at the time this work was performed

Data availability statement

The data that support the findings of this study are available upon reasonable request.

Supplementary material

Supplemental data for this article can be accessed online at https://doi.org/10.1080/2162402X.2023.2217737.

List of Abbreviations

ADCC=

antibody-dependent cellular cytotoxicity

CDC=

complement-dependent cytotoxicity

CTLA-4=

cytotoxic T-lymphocyte-associated protein 4

DEG=

differentially expressed gene

DOK=

downstream of tyrosine kinase

EC50=

half-maximal effective concentration

ELISA=

enzyme-linked immunosorbent assay

EMAD=

endometrial adenocarcinoma

Fc=

fragment crystallizable

FIH=

first-in-human

GFP=

green fluorescent protein

GWAS=

genome-wide association study

I/O=

immuno-oncology

ICI=

immune checkpoint inhibitor

Ig=

immunoglobulin

KCC=

kidney clear cell carcinoma

KD=

equilibrium dissociation constant

mAb=

monoclonal antibody

MoDC=

monocyte-derived dendritic cell

NSCLC=

non-small cell lung cancer

OC=

ovarian cancer

PBMC=

peripheral blood mononuclear cell

PCA=

principle component analysis

PD-1=

programmed cell death protein 1

RasGAP=

Ras GTPase activating protein

SD=

standard deviation

TCGA=

The Cancer Genome Atlas

TIL=

tumor-infiltrating lymphocyte

TME=

tumor microenvironment

Additional information

Funding

This work was funded by 23andMe.