ArticleJournal of translational medicine2025
Dynamic screening initiation using 16 plasma protein biomarkers with polygenic risk and PLCOm2012: a precision prevention framework for lung cancer.
Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06422637 (INFORM), which is not on this map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
INFORM: A Prospective Interventional Study on Early Screening for Lung Cancer Using Liquid Biopsy
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundlow-dose computed tomography (LDCT) screening strategies for lung cancer are primarily targeted at high-risk groups based on smoking history and age, leading to over-screening of low-risk individuals while delaying timely detection in high-risk groups. This study aimed to develop a precision screening framework integrating plasma proteomics, polygenic risk score (PRS), and the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial 2012 model (PLCOm2012) to enable dynamic and optimized screening strategies.
methodsA multicenter, multimodal study was conducted across two prospective cohorts. Plasma protein profiling identified 16 biomarkers, which were combined with PRS and PLCOm2012 to develop a prediction model. Protein score, PRS, and PLCOm2012 score were used to develop a combined risk score (CRS). Risk advancement period (RAP) analysis quantified personalized screening initiation ages based on 10-year cumulative risk thresholds.
resultsThe CRS demonstrated superior predictive accuracy, with 3-, 5-, and 10-year AUCs of 0.85 (95% CI: 0.80–0.93), 0.88 (95% CI: 0.83–0.92), and 0.85 (95% CI: 0.81–0.87), respectively. High-risk individuals yielded HR of 3.18 (95% CI: 2.34–4.31) with thresholds reached 11.71 (RAP: -11.71, 95% CI: –15.58 - −6.16) years earlier than those at medium-risk, while low-risk individuals could delay screening by 11.78 (RAP: 11.78, 95% CI: 6.95 - 15.08) years. Risk stratification revealed distinct differences in cumulative lung cancer incidence across groups. Personalized screening initiation ages suggested that high-risk individuals begin screening before age 40, while low-risk individuals could postpone screening until age 55 or later.
conclusionThis study developed a precision lung cancer screening framework by integrating plasma proteomics, genetic profiling, and clinical data. This approach enhanced early detection in high-risk individuals while safely delaying screening for low-risk groups.
trial registrationClinical trial number: NCT06422637.
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