A study published in Science Immunology on March 8, 2024 by researchers at NYU Langone Health’s Perlmutter Cancer Center and the University of Oxford has upended a foundational assumption about one of immunology’s most important proteins — with significant implications for both cancer treatment and autoimmune disease therapy. The study received pilot funding from the Judith and Stewart Colton Center for Autoimmunity at NYU.
The protein in question is PD-1, a checkpoint receptor on the surface of T cells that acts as an off-switch for immune activity. Checkpoint inhibitor drugs that block PD-1 have revolutionized cancer treatment by making tumors visible to immune attack. Meanwhile, drugs that stimulate PD-1 — known as agonists — are now showing promise for dampening the overactive immune responses that drive autoimmune diseases like rheumatoid arthritis, lupus, and type 1 diabetes.
The new study reveals that PD-1 does not function alone as previously assumed, but instead forms pairs — called dimers — through interactions in its transmembrane segment. This challenges the longstanding view that PD-1 operates as a monomer. Crucially, the researchers found that encouraging PD-1 dimerization increases its ability to suppress T cell activity, while disrupting it reduces that suppression. A single change in the protein’s amino acid structure can tip the balance either way.
The findings suggest that future drug development should focus on modulating PD-1 dimerization — strengthening it to treat autoimmune disease, or weakening it to enhance anticancer immunotherapy — rather than exclusively targeting PD-1’s interactions with its signaling ligands, as has been the prevailing approach.
Featured Experts

Katsuo Kurabayashi, PhD
Colton Consortium Member
Department Chair, Mechanical and Aerospace Engineering, NYU Tandon School of Engineering
Carla R. Nowosad, PhD
Colton Consortium Member
Assistant Professor, Department of Pathology, NYU Grossman School of Medicine / NYU Langone Health
Jun Wang, PhD
Colton Consortium Member
Associate Professor, Department of Pathology, NYU Grossman School of Medicine / NYU Langone HealthFeatured Projects

Developing a Multi-parameter Prognostic Prediction Model for Disability Ranks and Progression of Patients with Multiple Sclerosis at the Early Stages of the Disease
Integrating clinical, imaging, and biological data from large real-world MS cohorts, this project builds a machine learning model to predict disability progression early and enable personalized treatment decisions.

Immunotherapy-Related Adverse Effects as Models for Fragile Tolerance in Humans
Using cancer patients experiencing immunotherapy-triggered autoimmunity as a unique human model, this project uncovers the molecular and epigenetic mechanisms by which self-reactive T cells escape immune tolerance.
Featured Publications
Understanding the spectrum from preclinical psoriatic arthritis to early diagnosis of the disease
Vessel wall MRI in giant cell arteritis: standardized protocol and scoring approach developed by an international working group
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