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1168-Plasma Signatures for Early Lung Cancer Risk Prediction

The paper details a scientific study published in the journal Cell concerning the identification of a 14-protein plasma signature that predicts lung cancer risk up to five years before a clinical diagnosis. Researchers utilized machine learning to analyze proteomic data, discovering that this molecular signal arises from lung injury and the emergence of a transitional cell state (KAC) triggered by particulate matter exposure and inflammatory signaling. The study demonstrates that diverse lung epithelial lineages converge into this transitional state during early tumorigenesis, a process…

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