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RecruitingNCT07623473NIMBLEUpdated Jun 3, 2026

Non-Invasive Malignancy Classifiers Using Blood-Biomarkers for Lung Nodule Evaluation

An observational study in Lung Cancer (Diagnosis) and Nodule, Solitary Pulmonary, sponsored by Herlev and Gentofte Hospital. Recruiting at 1 site in Denmark. Per ClinicalTrials.gov, last updated 2026-06-03.

Sponsored by Herlev and Gentofte Hospital · Observational

Study type
Observational
Model
Cohort
Time perspective
Retrospective
Enrollment
1,800
Sex
All
01

Study summary

The goal of the NIMBLE study is to evaluate blood-based biomarkers for lung cancer risk prediction in patients referred with a lung nodule.

Each blood biomarker will be evaluated for descriminating malignant from benign lung nodules alone and in combination with other blood biomarkers, patient characteristics and radiological features.

Read the detailed description

Lung nodules are frequent findings on chest CT scans. The majority of nodules are benign, but a substantial fraction will be malignant. The decision to pursue invasive diagnostics currently rely on a risk estimate based on patient characteristics and radiological features of the nodule.

Accurate risk estimation is crucial as invasive diagnostics comes with a significant risk of severe complications such as collapsed lung, bleeding, infections and in rare cases death. The NIMBLE project seeks to improve the early risk assessment by incorporation of blood biomarkers in the risk algorithm. The study will include 1,200 patients with a nodule when patients are referred to the dept. of pulmonology and perform an addition blood draw. The blood will be analyzed using a wide range of blood tests. These will include standard blood tests, novel protein tumor markers specifically targeting lung cancer, an epigenetic smoking marker (AHRR methylation), and combined fragmentome, mutational and methylome analysis of cell-free tumor DNA.

Blood tests will be evaluated following REMARK guidelines in terms of lung cancer predictive performance but also in terms of feasibility in implementation in daily routine testing at a Dept. of Clinical Biochemistry.

The study will perform all tests on patient material collected at baseline when patients are referred to work-up and use machine learning to optimally combine blood tests with patient characteristics and radiological features.

02

Conditions studied

  • Lung Cancer (Diagnosis)
  • Nodule, Solitary Pulmonary

Keywords

  • Biomarkers
  • Lung nodule
  • Fragmentomics
  • Methylome
  • Cell-free DNA
03

Who can participate

Ages eligible
Child (0–17), Adult (18–64), Older adult (65+)
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

Patients referred to the infiltrate unit at the Dept. of Pulmonology, Gentofte Hospital, Denmark

Inclusion criteria

  • Patients with a newly detected IPN suspected of lung cancer referred to the infiltrate unit
  • Having signed informed consent

Exclusion criteria

Exclusion Criteria:

  • Active cancer, excluding non-melanoma skin cancer
  • Comorbidities that exclude the patient from clinical follow-up and final diagnosis
04

Study design

Observational model
Cohort
Time perspective
Retrospective
Enrollment
1,800 participants (estimated)
Patient registry
No
Biospecimen retention
Samples with dna

Groups and cohorts

  • Patients referred for work-up suspected of lung cancer

    Patients are enrolled when these are referred to the Pulmonology Department suspected of lung cancer.

    Diagnostic Test: Blood tests

Interventions

  • Diagnostic testBlood tests

    Standard blood tests, Novel protein tumor markers specifically targeting lung cancer, Epigenetic smoking marker (AHRR methylation), Combined fragmentome, mutational and methylome analysis of cell-free tumor DNA

05

What researchers measure

Primary outcomes

  1. Lung cancer diagnosis during work-up

    Time frame: At least two years of followup

06

Study locations

1 of 1 sites recruiting
  • Gentofte Hospital
    Gentofte Municipality, Denmark
    Recruiting
07

References and documents

Individual participant data

Plan to share: Undecided

No publications or documents are linked to this record.

08

Registry details

Key details

Study ID
NCT07623473
Lead sponsor
Herlev and Gentofte Hospital
Collaborators
NEYE Foundation, Direktør Michael Hermann Nielsens mindelegat, afd B, Toyota Foundation Denmark, Grosserer L. F. Foghts Fond Denmark, Beckett Foundation, P. A. Messerschmidt & hustrus Fond
Responsible party
Søren Egstrand (MD, PhD, Herlev and Gentofte Hospital) — Principal investigator
First posted
Jun 3, 2026
Start date
May 22, 2024
Primary completion
Feb 1, 2028 (estimated)
Completion
Feb 1, 2028 (estimated)
Last update
Jun 3, 2026

Study contacts

Søren Egstrand, MD, PhD
Contact
soeren.egstrand@regionh.dk
0045 21682147

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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