Blood biomarkers to help tell if a lung nodule is cancer or not
Official title: NIMBLE | Non-Invasive Malignancy Classifiers Using Blood-Biomarkers for Lung Nodule Evaluation
Run by Herlev and Gentofte Hospital · NCT07623473 · Data updated 2026-11-12
A blood test-based approach is being tested to see if biomarkers can help determine whether a detected lung nodule is malignant or benign in patients referred for further evaluation.
Quick facts
| Study type | Observational |
|---|---|
| Sex | All |
| Enrollment | 1800 (estimated) |
| Sponsor | Herlev and Gentofte Hospital Academic / other |
| Locations | 1 site (Gentofte Municipality) |
| Status | Recruiting |
| Started | May 22, 2024 |
| Main results expected | February 1, 2028 |
| Study ends | February 1, 2028 |
| Registry record updated | June 3, 2026 |
| Trial ID | NCT07623473 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults referred for evaluation of a newly detected solitary pulmonary nodule with suspected lung cancer who consent to participate.
✕Probably not a fit
Patients with non-lung cancer conditions or those not benefiting from biomarker-based risk prediction may not experience a direct benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
The NIMBLE study tests multiple blood biomarkers, including protein markers, AHRR methylation, and fragmentome/methylome analyses of cell-free DNA, to predict lung cancer risk in patients with an incident lung nodule. Researchers will collect baseline blood samples from about 1,200 patients and use machine learning to combine biomarker results with clinical and radiologic features to improve risk estimates. The study follows REMARK guidelines to assess predictive performance and practicality for routine clinical use in a pulmonology/biochemistry setting. It is an observational study focusing on risk stratification to potentially reduce unnecessary invasive procedures. All participants are patients referred for work-up of a new solitary pulmonary nodule who sign informed consent.
Why it matters
Potential benefit: If successful, the approach could improve accuracy in distinguishing malignant from benign nodules and reduce unnecessary invasive diagnostics.
How similar studies have gone: Previous work with biomarker-based risk prediction for nodules shows promising signals, but this exact combination of markers and machine learning is an innovative approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients with a newly detected IPN suspected of lung cancer referred to the infiltrate unit * Having signed informed consent Exclusion Criteria: * Active cancer, excluding non-melanoma skin cancer * Comorbidities that exclude the patient from clinical follow-up and final diagnosis
Where it's running
-
Gentofte Hospital
Gentofte Municipality, Denmark Recruiting
Study contacts
- Study coordinator: Søren Egstrand, MD, PhD
- Email: soeren.egstrand@regionh.dk
- Phone: 0045 21682147
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.