Skip to content

Predictive Gene Profiles and Dynamic Measurement of Treatment Response in Metastatic Non-small Cell Lung Cancer

Predictive Gene Profiles and Dynamic Measurement of Treatment Response in Metastatic Non-small Cell Lung Cancer

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03512847
Enrollment
150
Registered
2018-05-01
Start date
2018-05-29
Completion date
2022-11-06
Last updated
2023-02-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Metastatic Nonsmall Cell Lung Cancer

Keywords

liquid biopsy, genomic profiling, ctDNA

Brief summary

The study aims include: * Exploring potential predictive molecular profiles to immunotherapy/chemotherapy * Investigating the role of circulating tumor DNA as a dynamic biomarker during immunotherapy/chemotherapy * Identifying possible resistance mechanisms to immunotherapy/chemotherapy Materials and methods: Approximately 150 patients diagnosed with metastatic NSCLC assigned for immunotherapy or chemotherapy will be candidates for inclusion during a 1-2 years period. A comprehensive molecular profiling will be made from the diagnostic biopsy. Before every treatment-cycle a blood sample will be taken to quantify ctDNA. At time of progressive disease during/after first line treatment, patients will be asked to participate in a new biopsy and a comprehensive molecular profiling will be performed. The tissue and blood samples collected will be stored in a biobank. Clinical data will be collected to perform a comprehensive database. Analysis: Potentially predictive molecular profiles for immunotherapy/chemotherapy will be found by comparison of treatment outcome for patients with specific molecular characteristics. Through quantification of ctDNA during treatment and upon progression, the role of ctDNA as a dynamic biomarker will be further strengthened. Differences in molecular profiles pre- and post-treatment may reveal resistance mechanisms to treatment. Molecular profiling on progression can be valuable in second-line treatment guidance.

Interventions

None listed

Sponsors

Zealand University Hospital
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Age \> 18 years * Able to understand and read Danish * WHO Performance status 0-2 * Acceptable organ function (liver/kidney/heart) for treatment * The disease has to be: evaluable or measurable according to RECIST/iRECIST accessible for biopsy metastatic or not suitable for curative intended treatment

Exclusion criteria

* Other active cancers * Contraindications for systemic therapy * ALK-positive, ROS-1 or EGFR mutations

Design outcomes

Primary

MeasureTime frameDescription
Predictive gene profilesuntil progression or death, an average of 3 yearsConcordance between specific gene profiles and treatment outcomes
Resistance mechanisms toward chemotherapy and immunotherapyuntil progression or death, an average of 3 yearsDifferences in molecular profiles pre- and post-treatment
ctDNA as a dynamic biomarkeruntil progression or death, an average of 3 yearsQuantification of ctDNA during treatment linked to treatment outcome

Countries

Denmark

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 26, 2026