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]
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 builds on findings from the CANTOS trial, which showed that IL-1β inhibition (canakinumab) reduces lung cancer incidence but requires better patient selection due to high number needed to treat. Using machine learning, the researchers developed and validated this protein signature across eight cohorts. The signature is elevated in current smokers and those exposed to particulate matter (PM), and it identifies 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, enabling molecular cancer prevention approaches.
Source
bsky14-protein plasma signature predicts lung cancer risk years before diagnosis and identifies candidates for preventive therapycell.comKey quotes
· 4 pulledUsing 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.
The study demonstrates how diverse tumor-promoting factors converge on the induction of an alveolar transitional state that underlies lung tumorigenesis.
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