Methylated Biomarkers of Smoking as a Selection Tool in Participants for Lung Cancer Screening

Recruiting now · Not applicable

Conditions studied: Epigenetics, DNA Methylation, Lung Cancer Screening, Risk Stratification With Biomarker, Saliva

In brief

The MET-SELS study aims to revolutionize how we identify individuals for lung cancer screening by moving beyond the limitations of self-reported smoking history. Currently, eligibility for low-dose CT (LDCT) scans relies on "pack-years"-a metric often compromised by recall bias, under-reporting, and an inability to account for the biological nuances of smoke inhalation or environmental exposure. Consequently, current criteria miss nearly half of incidental lung cancers. To bridge this gap, the study investigates DNA methylation as a stable, objective "biological footprint" of smoking. Unlike short-term biomarkers like nicotine or CO levels, specific epigenetic changes in genes such as AHRR and F2RL3 persist long after cessation and correlate accurately with cumulative tobacco exposure. Led by Professor Dr. Annemiek Snoeckx and a multidisciplinary team at UZA and the Centre for Medical Genetics, the research will analyze saliva samples from two groups: roughly 900 participants from the ZORALCS screening trial and 150 volunteers. By comparing saliva-derived genomic signatures against both self-reported data and professional interviews, the team aims to validate a panel of methylation markers that can pinpoint high-risk individuals with far greater precision. The ultimate vision for MET-SELS is to implement a population-based "saliva-first" triage system, similar to the FIT test used for colorectal cancer. In this model, high-risk candidates would provide a saliva sample at home; only those with a confirmed epigenetic risk profile would be invited for a LDCT scan, significantly increasing the yield of early-stage lung cancer detection while streamlining healthcare resources.

Key facts

Study ID
NCT07631624
Run by
University Hospital, Antwerp
People needed
1000
Starts
2025-10-04
Expected to finish
2028-01-01
Last updated by the study team
2026-06-08

Who can join

Age: 50 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

Where it is running

Full record on ClinicalTrials.gov

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