- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06833229
Prospective Cohort Study Evaluating 18FDG PET-CT for the Early Prediction of the Efficacy of Immunotherapy Associated or Not With Chemotherapy in Patients With Locally Advanced or Metastatic Non-Small Cell Broncho-Pulmonary Carcinoma (FDG Immun Comb)
May 27, 2026 updated by: Centre Antoine Lacassagne
The hypothesis of this prospective observational pilot study of diagnostic diagnostic performance is that, for patients with NSCLC treated with immunotherapy associated or not with chemotherapy, certain metabolic biomarkers on 18FDG PET scans allow early identification of treatment response (or lack of response to treatment) and optimize prediction of tumor response compared with current standards.
Study Overview
Status
Recruiting
Conditions
Intervention / Treatment
Study Type
Observational
Enrollment (Estimated)
200
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Study Coordinator
- Phone Number: +33 04 92 03 14 76
- Email: DRCI-Promotion@nice.unicancer.fr
Study Locations
-
-
-
Nice, France, 06189
- Recruiting
- Centre Antoine Lacassagne
-
Contact:
- Olivier HUMBERT
- Phone Number: +33 0492031697
- Email: Olivier.HUMBERT@univ-cotedazur.fr
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Sampling Method
Non-Probability Sample
Study Population
All patients with locally advanced or metastatic NSCLC with an indication for immunotherapy combined with concomitant chemotherapy as standard treatment and managed at the Centre Antoine Lacassagne will be eligible.
Description
Inclusion Criteria:
- Age greater than or equal to 18 years,
- Patients with histologically proven, metastatic or locally advanced NSCLC, with indication for immunotherapy (Nivolumab, pembrolizumab, atezolizumab, durvalumab, avelumab), in combination or not with chemotherapy molecules (carboplatin, cisplatin, pemetrexed, paclitaxel or nab-paclitaxel), validated by a Multidisciplinary Team and prescribed within the scope of their Marketed Authorization, whatever the line of treatment treatment line,
- ECOG 0 to 3,
- The patient's understanding of the protocol and the note of non-opposition, with oral agreement,
- Patient has not objected to the use of his or her data for medical research. research,
- Patient has social security coverage.
Exclusion Criteria:
- Age under 18,
- Contraindication to 18FDG PET-CT examinations: severe claustrophobia, unbalanced diabetes at the time of the first PET-CT scan (fasting capillary glucose ≥ 11 mmol),
- Hemoglobin less than 7 g/dL at inclusion. If the patient has a respiratory or or cardiovascular pathology, hemoglobin must not be less than 9.0 g/dL,
- Any participation in other biomedical studies involving the drug, medical devices or medical devices or imaging techniques is prohibited, with the exception of biomedical studies,
- Refusal to participate in the present study,
- Contraindication (e.g. hypersensitivity to the active substance or to one of the excipients of immunotherapy or chemotherapy treatments...).
Vulnerable persons are defined in article L1121-5 to -8:
- Pregnant women, parturients and nursing mothers, persons deprived of their liberty by judicial or administrative decision, persons hospitalized without consent under articles L. 3212-1 and L. 3213-1 who are not covered by the provisions of the provisions of article L. 1121-8,
- and persons admitted to a health or social establishment for purposes other than research purposes,
- adults who are the subject of a legal protection measure, or who are unable to exercise their non opposition
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Metabolic criteria for PET imaging that can distinguish true tumor progression from pseudo-progression of inflammatory origin (leukocyte infiltrate)
Time Frame: 36 months
|
Calculation of the area of the ROC curve and determination of the optimal threshold of different metabolic parameters extracted from the standard PET image (ΔSUVmax, ΔTLG, appearance of new visceral lesion(s)) and parametric PET image (metabolic glucose rate (Ki), volume of distribution (VD)) to distinguish lesions between true progression from inflammatory pseudoprogressions.
|
36 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Incidence of pseudo-progressions versus true tumor progressions at the first PET scan at 6 weeks.
Time Frame: 6 weeks
|
Evaluation of the ratio between lesions with pseudo-inflammatory progression and those with true tumor progression (defined a posteriori on control PET-CT).
A analysis per lesion and per patient.
Two groups of patients will be compared: the group treated with immunotherapy alone and the group treated with a combination of immunotherapy and chemotherapy
|
6 weeks
|
|
Prognostic value of metabolic response PET-CT at 6 weeks and 12 weeks on overall survival at 12, 24 and 36 months
Time Frame: 36 months
|
Overall survival at 12, 24 and 36 months as a function of changes in tumor metabolism on the first interim PET-CT scans (PERCIST and ΔSUV analysis).
Overall survival: time from date of inclusion to date of death from any cause.
|
36 months
|
|
Evaluation of overall survival of patients with oligometastatic progression with maintenance of immunotherapy and targeted irradiation of progressing lesions.
Time Frame: 36 months
|
Overall survival at 24 months as a function of whether or not irradiation (as part of standard practices) of progressing lesions in patients with metastatic oligo-progression on 18FDG PET (between 1 and 3 progressive lesions).
|
36 months
|
|
Use of supervised deep-learning algorithms (neural networks) to classify patients as immunotherapy responders or non-responders.
Time Frame: 6 months
|
Non-responders will be defined as patients who discontinue immunotherapy within the first 6 months of treatment due to tumor progression.
Responders will be defined by continuation of immunotherapy beyond 6 months of treatment.
|
6 months
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
January 27, 2022
Primary Completion (Estimated)
May 27, 2028
Study Completion (Estimated)
January 27, 2031
Study Registration Dates
First Submitted
February 13, 2025
First Submitted That Met QC Criteria
February 13, 2025
First Posted (Actual)
February 18, 2025
Study Record Updates
Last Update Posted (Actual)
May 29, 2026
Last Update Submitted That Met QC Criteria
May 27, 2026
Last Verified
May 1, 2026
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2021/11
- 2021-A00352-39 (Other Identifier: ANSM)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
UNDECIDED
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
product manufactured in and exported from the U.S.
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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