Carcinoma, Non-Small-Cell Lung Clinical Trial
— IBFICOfficial title:
Imaging Biomarkers for Immune Checkpoint Inhibitor Treatment in Patients With Non-small Cell Lung Cancer: Prospective Observational Study
NCT number | NCT05260606 |
Other study ID # | SMO1220071 |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | May 9, 2022 |
Est. completion date | December 2025 |
1. Hypothesis : imaging biomarkers of tumor measured by F-18 fluorodeoxyglucose (FDG) positron emission tomography(PET)/computed tomography(CT) is correlated with immune checkpoint inhibitor (ICI) treatment response and patient prognosis. 2. Purpose: To evaluate the association between metabolic imaging parameters measured by F-18 FDG PET/CT and clinical outcomes in patients with non-small cell lung cancer treated with ICIs. 3. Study subject: patients with non-small cell lung cancer who will be treated with ICIs. 4. Study design: prospective observational study 5. Intervention: F-18 FDG PET/CT
Status | Recruiting |
Enrollment | 100 |
Est. completion date | December 2025 |
Est. primary completion date | December 2025 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: 1. 18 years old or over 2. pathologically proven non-small cell lung cancer: adenocarcinoma or squamous cell carcinoma 3. patients to be treated with immune checkpoint inhibitors (nivolumab or pembrolizumab or atezolizumab) 4. ECOG performance status = 2 5. A person who have heard the detailed explanation of this clinical trial and are willing to voluntarily decide to participate and sign the informed consent form Exclusion Criteria: 1. subjects without measurable lesion: They must have at least one measurable lesion with a diameter of 10 mm by spiral CT or multi-detector CT (MD CT) or 20 mm or larger by conventional CT. 2. subjects with a history of other malignant diseases within the past 5 years, except for treated basal cell carcinoma of the skin, carcinoma in situ of the cervix, cured thyroid cancer, and early gastric cancer 3. subjects with clinically significant uncontrolled seizures, central nervous system disease, or psychiatric disorders that, in the investigator's judgment, interferes with or is likely to interfere with the understanding of informed consent 4. subjects with uncontrolled diabetes 5. subjects with severe uncontrolled infection 6. subjects who underwent major surgery within 4 weeks prior to the start of the clinical trial or who have not fully recovered from the effects of major surgery 7. pregnant or lactating patients 8. subjects who have not received a pregnancy test or have a positive result during the basic test (menopause women with amenorrhea period of at least 12 months or longer are considered infertile subjects) 9. women or men of childbearing potential who are unwilling to use contraception during the clinical trial period |
Country | Name | City | State |
---|---|---|---|
Korea, Republic of | Samsung Medical Center | Seoul |
Lead Sponsor | Collaborator |
---|---|
Samsung Medical Center |
Korea, Republic of,
Goldfarb L, Duchemann B, Chouahnia K, Zelek L, Soussan M. Monitoring anti-PD-1-based immunotherapy in non-small cell lung cancer with FDG PET: introduction of iPERCIST. EJNMMI Res. 2019 Jan 29;9(1):8. doi: 10.1186/s13550-019-0473-1. — View Citation
Humbert O, Cadour N, Paquet M, Schiappa R, Poudenx M, Chardin D, Borchiellini D, Benisvy D, Ouvrier MJ, Zwarthoed C, Schiazza A, Ilie M, Ghalloussi H, Koulibaly PM, Darcourt J, Otto J. 18FDG PET/CT in the early assessment of non-small cell lung cancer response to immunotherapy: frequency and clinical significance of atypical evolutive patterns. Eur J Nucl Med Mol Imaging. 2020 May;47(5):1158-1167. doi: 10.1007/s00259-019-04573-4. Epub 2019 Nov 23. — View Citation
Seban RD, Mezquita L, Berenbaum A, Dercle L, Botticella A, Le Pechoux C, Caramella C, Deutsch E, Grimaldi S, Adam J, Ammari S, Planchard D, Leboulleux S, Besse B. Baseline metabolic tumor burden on FDG PET/CT scans predicts outcome in advanced NSCLC patients treated with immune checkpoint inhibitors. Eur J Nucl Med Mol Imaging. 2020 May;47(5):1147-1157. doi: 10.1007/s00259-019-04615-x. Epub 2019 Nov 21. — View Citation
Takada K, Toyokawa G, Yoneshima Y, Tanaka K, Okamoto I, Shimokawa M, Wakasu S, Haro A, Osoegawa A, Tagawa T, Oda Y, Nakanishi Y, Mori M. 18F-FDG uptake in PET/CT is a potential predictive biomarker of response to anti-PD-1 antibody therapy in non-small cell lung cancer. Sci Rep. 2019 Sep 16;9(1):13362. doi: 10.1038/s41598-019-50079-2. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Correlation between metabolic imaging parameters and treatment response | Analyze the correlation between metabolic imaging indicators (SUVmax, SULpeak, MTV, TLG, SLR of tumor lesions on 1st scan, % change of SUVmax, % change of SULpeak, % change of MTV, % change of TLG, % change of SLR between 1st and 2nd scans) and treatment response.
Treatment response: If the patient maintains a stable disease state or above based on the CT response evaluation criteria for more than 6 months, it is considered to have a response. % change = [((Value of SCAN2 - value of SCAN1)/value of SCAN1) X 100] Analysis model: point-biserial correlation analysis (Two-tailed test) |
The primary analysis can be performed when all study subjects have elapsed more than 6 months after the start of treatment. | |
Secondary | Correlation between metabolic imaging parameters and patient prognosis | - Analyze the correlation between the metabolic imaging indicators and patient's overall survival (OS) and progression free survival (PFS) using Cox proportional hazard model | The primary analysis can be performed when all study subjects have elapsed more than 12 months after the start of treatment. | |
Secondary | Comparison of clinical outcome according to FDG PET/CT evaluation criteria (PERCIST vs. iPERCIST) | - Compare clinical outcome according to the FDG PET/CT evaluation criteria (PERCIST vs. iPERCIST) using Pearson chi-square test | The primary analysis can be performed when all study subjects have elapsed more than 12 months after the start of treatment. | |
Secondary | Correlation between metabolic imaging parameters and CT imaging parameters obtained from contrast-enhanced CT | - Analyze the correlation between PET parameters and contrast CT parameters using Pearson or Spearman correlation analysis | Analysis can be performed at the time when all target subjects underwent pre-treatment and interim F-18 FDG PET/CT scans. | |
Secondary | Comparison of FDG PET/CT evaluation criteria with CT evaluation criteria (iRECIST and imRECIST) | - Compare FDG PET/CT evaluation criteria and CT evaluation criteria using Pearson chi-square test | Analysis can be performed at the time when all target subjects underwent pre-treatment and interim F-18 FDG PET/CT scans. | |
Secondary | Correlation between imaging markers and non-imaging biomarkers | - Analyze correlation between imaging parameters and non-imaging biomarker such as NLR using Pearson or Spearman correlation analysis/ biserial correlation analysis | Analysis can be performed at the time when all target subjects underwent pre-treatment and interim F-18 FDG PET/CT scans. | |
Secondary | Correlation between biomarkers and treatment response | - Analyze correlation between biomarkers and treatment response using Point-biserial correlation analysis | The primary analysis can be performed when all study subjects have elapsed more than 6 months after the start of treatment. | |
Secondary | Correlation between biomarkers and patient prognosis | - Analyze the correlation between biomarkers and prognosis (OS, PFS) using Cox proportional hazard model | The primary analysis can be performed when all study subjects have elapsed more than 12 months after the start of treatment. |
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