NCT07631624

Brief Summary

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.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
1,000

participants targeted

Target at P75+ for not_applicable

Timeline
17mo left

Started Oct 2025

Typical duration for not_applicable

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress37%
Oct 2025Jan 2028

Study Start

First participant enrolled

October 4, 2025

Completed
7 months until next milestone

First Submitted

Initial submission to the registry

May 4, 2026

Completed
1 month until next milestone

First Posted

Study publicly available on registry

June 8, 2026

Completed
7 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

January 1, 2027

Expected
1 year until next milestone

Study Completion

Last participant's last visit for all outcomes

January 1, 2028

Last Updated

June 8, 2026

Status Verified

April 1, 2026

Enrollment Period

1.2 years

First QC Date

May 4, 2026

Last Update Submit

June 3, 2026

Conditions

Keywords

DNA-methylationLung Cancer ScreeningRisk stratificationSmokingSaliva

Outcome Measures

Primary Outcomes (1)

  • DNA-methylation

    DNA Methylation Status, measured as a continuous variable across a panel of specific genes (e.g., AHRR, F2RL3, ALPPL2).

    3 years

Secondary Outcomes (1)

  • Comparative smoking accuracy

    2 years

Study Arms (2)

Cohort - volunteers

EXPERIMENTAL

Reference group: people who smoked less than 10 years

Genetic: DNA-methylation in saliva

Cohort: Lung cancer screening participants

EXPERIMENTAL

Participants of the ZORALCS-study

Genetic: DNA-methylation in saliva

Interventions

Participants provide a simple 2 ml saliva sample, which is far less invasive and more cost-effective for mass screening than blood-based liquid biopsies. These samples undergo rigorous genomic and methylomic analysis at the Centre for Medical Genetics, employing techniques such as whole-genome sequencing (WGS) and quantitative methylation-specific PCR (qMSP). These biological results are then cross-referenced against two types of behavioral data: self-reported questionnaires and intensive, structured interviews led by specialized healthcare providers. By using ROC analysis and linear regression, the study aims to validate how accurately these salivary biomarkers can predict smoking status, pack-years, and duration of abstinence compared to traditional reporting.

Cohort - volunteersCohort: Lung cancer screening participants

Eligibility Criteria

Age50 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Age: Must be \> 50 years of age
  • Smoking History: Includes individuals with and without a smoking history
  • Cohort 2: ZORALCS-study participants
  • Age: 55-74 years old
  • Smoking History: Includes individuals with a smoking history

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Antwerp University Hospital

Antwerp, Antwerpen, 2650, Belgium

RECRUITING

MeSH Terms

Conditions

Smoking

Interventions

DNA Methylation

Condition Hierarchy (Ancestors)

Behavior

Intervention Hierarchy (Ancestors)

MethylationAlkylationBiochemical PhenomenaChemical PhenomenaMetabolismGenetic Phenomena

Study Officials

  • Annemiek Snoeckx, MD, PhD

    University Of Antwerp / Antwerp University Hospital

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NON RANDOMIZED
Masking
NONE
Purpose
SCREENING
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

May 4, 2026

First Posted

June 8, 2026

Study Start

October 4, 2025

Primary Completion (Estimated)

January 1, 2027

Study Completion (Estimated)

January 1, 2028

Last Updated

June 8, 2026

Record last verified: 2026-04

Locations