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 notably fueled by the inflammatory cytokine IL-1β. Crucially, the 14-protein signature effectively identifies individuals most likely to benefit from preventative anti-inflammatory therapy, specifically IL-1β inhibition, which was shown to restrain early tumor development. By linking environmental pollutants and oncogenic mutations to detectable blood signals, this research offers a framework for molecular cancer prevention and more precise risk stratification.References:Pandya T, Swanton C. Plasma signals of lung tumor promotion for molecular cancer prevention. Cell. 2026 Jun 4:S0092-8674(26)00522-2. doi: 10.1016/j.cell.2026.05.005. Epub ahead of print. PMID: 42242224.前往小宇宙评论区与主播互动