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14-protein plasma signature predicts lung cancer risk years before diagnosis and identifies candidates for preventive therapy

By

William Hill1,65,68 Send email to [email protected]

3h ago· 100 min readenInsight

Summary

This article presents a scientific study identifying a 14-protein plasma signature that can predict lung cancer risk more than 5 years before diagnosis. The research, validated across eight cohorts, builds on findings from the CANTOS trial which showed that IL-1β inhibition reduced lung cancer incidence. The protein signature is elevated in current smokers and individuals exposed to particulate matter (PM), and it helps identify individuals who would benefit most from anti-IL-1β-based lung cancer risk reduction. The study demonstrates how diverse tumor-promoting factors converge on an alveolar transitional state underlying lung tumorigenesis, potentially enabling more targeted molecular cancer prevention strategies.

Key quotes

· 3 pulled
Using machine learning, we identified a 14-protein plasma signature predicting lung cancer more than 5 years before diagnosis.
The signature, validated across eight cohorts, was elevated in current smokers and individuals exposed to particulate matter (PM)
A 14-protein plasma signature identifies individuals benefiting from anti-IL-1β-based lung cancer risk reduction
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A 14-protein plasma signature identifies individuals benefiting from anti-IL-1β-based lung cancer risk reduction and demonstrates how diverse tumor-promoting factors converge on the induction of an alveolar transitional state that underlies lung tumorigen

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