Identification of a Predictive Metabolic Signature of Response to Immune Checkpoint Inhibitors in Non-Small Cell Lung Carcinoma
- Conditions
- Non Small Cell Lung Cancer
- Interventions
- Other: Immune signature in serum associated to the metabolic signatureGenetic: Meta-genomic signature of intestinal flora
- Registration Number
- NCT04189679
- Lead Sponsor
- University Hospital, Grenoble
- Brief Summary
Immune checkpoints inhibitors (ICI) are becoming new standards of care for Non-Small Cell Lung Carcinoma (NSCLC) treatment. To date, no powerful predictive biomarker of response has been found.
The investigators hypothesize that metabolomics profile could represent a potent biomarker of response to ICI
- Detailed Description
Immune checkpoints inhibitors (ICI) are becoming new standards of care for Non-Small Cell Lung Carcinoma (NSCLC) treatment, both as first and second line of treatment. To date, no powerful predictive biomarker of response has been found. It has been recently shown that microbiota composition could dictate the ability of patients to respond to ICI. Since, the microbiota produces circulating metabolites that will subsequently act on immune system, the investigators hypothesized that metabolic signature, reflecting microbiota function, could represent a predictive biomarker of response to ICI.
Primary objective is to identify baseline metabolic signature (metabolomics analysis by Mass spectrometry) associated to ICI response. Secondary objectives are to link metabolic signature with microbiota composition (metagenomics analysis RNA 16S) and immune profile, and altogether with clinic response to ICI. Profile evolution (metabolic, metagenomics and immune) will be also analyzed at 2-month post ICI initiation and at tumor progression, if any.
In order to do so, the investigators thus plan to enroll 60 NSCLC patients treated by ICI as 1st, 2nd or 3rd line of treatment in CHUGA in 18 months. Blood as well feces will be collected prior to, and at 2 month following ICI treatment initiation as well as at progression. Will be excluded from this study, patients that have received antibiotic or corticotherapy 2 or 4 weeks before ICI initiation, respectively.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 62
- NSCLC diagnosis
- Patient treated by a ICI in first, second or third line of treatment, or by the combination of chemotherapy and IPCI in first line of treatment
- Patient with at least one measurable lesion as defined by RECIST
- Patient treated with antibiotic treatment within 2 weeks before the start of ICI or corticosteroids (>20 mg per day) within 4 weeks before the start of ICI
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description Second or third line Meta-genomic signature of intestinal flora 40 patients in second and third line of treatment First line Immune signature in serum associated to the metabolic signature 20 patients in first line of treatment First line Meta-genomic signature of intestinal flora 20 patients in first line of treatment Second or third line Immune signature in serum associated to the metabolic signature 40 patients in second and third line of treatment
- Primary Outcome Measures
Name Time Method Identification of the change from baseline Metabolic signature as predictive factor of the ICI response at 6 months or at the tumoral progression baseline, 6 months or tumoral progression To identify the link of the change from baseline of Metabolic signature in serum (metabolomics analysis performed using a Mass spectrometry) and the ICI response at 6 months or at the tumoral progression
- Secondary Outcome Measures
Name Time Method Description of the profile change of Meta-genomic signature 2 months or tumoral progression To describe the change from baseline of the Meta-genomic signature at 2 months or at the tumoral progression
Identification of change of immune signature and the ICI response at 2 months or at the tumoral progression Baseline and (2 months or tumoral progression) To identify the link between the profile change from baseline of immune signature and the ICI response at 2 months or at the tumoral progression
Description of the profile change of Immune signature at 2 months or at the tumoral progression Baseline and 2 months or tumoral progression To describe the change from baseline of the Immune signature at 2 months or at the tumoral progression
Description of the survival without progression under ICI at 6 months or at the tumoral progression 6 months or tumoral progression To describe the survival without progression under ICI at 6 months or at the tumoral progression
Identification of the link between the Meta-genomic and immune signatures and the metabolic signature at 6 months or at the tumoral progression 6 months or tumoral progression To identify the link between the Meta-genomic signature of intestinal flora (microbiota composition analysed by RNA 16 S) with the Immune signature in serum and the metabolic signature at 6 months or at the tumoral progression
Identification of the link between the profile change of meta-genomic signature and the ICI response at 2 months or at the tumoral progression Baseline and (2 months or tumoral progression) To identify the link between the profile change from baseline of meta-genomic signature and the ICI response at 2 months or at the tumoral progression
Identification of the link between the Meta-genomic and immune signatures and ICI response at 6 months or at the tumoral progression 6 months or tumoral progression To identify the link between the Meta-genomic signature of intestinal flora with the Immune signature in serum and the ICI response at 6 months or at the tumoral progression
Description of overall survival under ICI at 6 months or at the tumoral progression 6 months or tumoral progression To describe of the overall survival under ICI at 6 months or at the tumoral progression
Trial Locations
- Locations (1)
University Hospital, Grenoble
🇫🇷La Tronche, Isère, France