Completed Cancer Lungs & Breathing

A new biology of clinical outcome in immune-mediated disease

In plain English

AI plain-English summary

Doctors can now predict how a patient’s immune disease will progress by reading the exhaustion level of their CD8 T-cells, regardless of the specific diagnosis. This matters because Western medicine sorts patients into diagnostic boxes—rheumatoid arthritis, type 1 diabetes, and so on—but two people with the same diagnosis can have wildly different outcomes. The biological drivers of that difference have been largely ignored. This research has already found that a signature of T-cell exhaustion, not disease type, predicts who will fare poorly across four major immune-mediated diseases. If this work succeeds, it could shift how clinicians treat chronic immune disease. Instead of treating the diagnosis, they could target the underlying prognostic pathway—for example, by repurposing existing drugs to reverse T-cell exhaustion. That would mean better outcomes for patients who currently face progressive disease despite being on standard therapy. The team is now testing candidate drugs in the lab and in animal models, while refining blood-based biomarkers that are already entering clinical trials.

View original technical description
Western medicine has developed by classifying disease into defined diagnostic categories. It is disease course after diagnosis, however, that determines a patient’s outcome, and the factors driving this variable prognosis have been largely ignored. We have focused on uncovering the biology underlying clinical outcome in immune-mediated disease. We have identified two CD8 T-cell transcription signatures that are associated with outcome but not diagnosis in four important immune-mediated diseases (Nat Med 2010, JCI 2011), and found that the signature associated with poor outcome is characterized by CD8 T cell “exhaustion” (Nature 2015). Genetic studies confirmed that pathways underlying prognosis are distinct from those underlying disease susceptibility (Cell 2013). We will explore this “biology of prognosis”. Our goals are to: 1) understand the biological basis of the CD8 T-cell transcription signature that determines prognosis. This will use in vitro and human in vivo studies, alongside genetic and epigenetic analyses informing our understanding of the mechanisms of prognosis in immune-mediated disease, and allowing the refinement of biomarkers now entering the clinic. 2) develop approaches to modulate CD8 T-cell exhaustion to treat disease, by re-purposing existing drugs, defining their mechanisms of action, and testing key candidates drugs in vitro and in animal models.

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Researchers

Kenneth Smith (EPMC Awardee)

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Original classification

Investigator Award in Science

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