Mantle Cell Lymphoma Clinical Trial
— CART-SIEOfficial title:
A Multicenter Prospective Observational Study on Chimeric Antigen Receptor (CAR) T-cell Therapy for Lymphoma: Monitoring Feasibility, Efficacy, Toxicity and Biomarkers in a Real Life Setting
The goal of this observational study on chimeric antigen receptor T-cell therapy is to monitor the feasibility, efficacy, toxicity and biomarkers in a real life setting. Partecipants will be asked to agree to their clinical data collection and to partecipate to the optional biological study that aims to evaluate biomarkers of toxicity and response (clinical characteristics, cytokine profile, cellcomposition and type of the CAR-T cell product, lymphoma genomics). The study will evaluate even the disease response according to lugano criteria by PET and CT in routine clinical activity.
Status | Recruiting |
Enrollment | 5300 |
Est. completion date | December 31, 2029 |
Est. primary completion date | December 31, 2028 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Patients with diagnosis of DLCBL, PMBCL, MCL and FL eligible for CAR-T treatment with commercialy available products in Italy. Exclusion Criteria: - Not applicable |
Country | Name | City | State |
---|---|---|---|
Italy | Fondazione IRCCS Istituto Nazionale Tumori | Milan |
Lead Sponsor | Collaborator |
---|---|
Paolo Corradini | Anna Dodero, Annalisa Chiappella, Cristiana Carniti |
Italy,
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* Note: There are 25 references in all — Click here to view all references
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Characterization of biomarkers of early response (circulating tumor cell free DNA versus PET and CT scans) | To study the circulating cell free DNA modulation during time, besides descriptive statistical analyses, we will use non parametric factorial models for longitudinal data [Brunner E, Domhof S, Langer F. Nonparametric analysis of longitudinal data in factorial experiments. John Wiley & Sons 2002, New York]. Such models were chosen because they allow take into account measurement incompleteness and positive asymmetry of biomarker distribution, and because they are robust to outliers. The models also allow to test the difference in the longitudinal profiles according to specific covariates. | 10 years, minimum f-up 1 year | |
Other | Characterization of toxicity biomarkers | Biomarkers will be analysed in relation to toxicities occurrence on order to identify predictors of toxicity onset and severity | 10 years, minimum f-up 1 year | |
Other | Analysis of the immune reconstitution | Evaluate disease response and immune recovery biomarkers at different time-points up after CAR-T (when clinically indicated or using blood sampling leftover) | 10 years, minimum f-up 1 year | |
Other | Analysis of the CAR-T expression | Evaluate the persistence of CAR-T after administration | 10 years, minimum f-up 1 year | |
Other | Influence of PET quantitative parameters: tMTV changes between baseline and +30 and +90 after CAR T-cell infusion (?SUV max) related to outcome | In our study, the PET scans will be collected and anonymized. A central review with analyses of quantitative parameters will be performed. Evaluation of baseline tMTV calculated by MTV4 method which automatically segments area with SUV =4.0. | 10 years, minimum f-up 1 year | |
Other | Influence of PET quantitative parameters: Distance max | In our study, the PET scans will be collected and anonymized. A central review with analyses of quantitative parameters will be performed. Dmax between baseline and +30 and +90 after CAR-T cells infusion | 10 years, minimum f-up 1 year | |
Other | Influence of PET quantitative parameters: Distance max bulky | In our study, the PET scans will be collected and anonymized. A central review with analyses of quantitative parameters will be performed. Dmax bulk is the maximum distance to the bulk and we wil analyse its change between baseline and day +30 and +90. | 10 years, minimum f-up 1 year | |
Primary | Feasibility of the CAR-T cells treatment in lymphomas in the italian real life practice | Evaluate the feasibility of CAR T-cell treatment in the real-life setting, with particular regard to eligible patients versus those subjected to leukapheresis versus those finally treated. The percentage of patients infused will be estimated as the number of patients infused divided by the total number of those declared eligible; the corresponding exact confidence intervals at 95% will also be estimated. | 10 years enrollment, minimum 1 year follow-up | |
Primary | Efficacy of the CAR-T cells treatment in lymphomas in the italian real life practice | Evaluate the survival outcome of PMBCL, DLBCL, MCL and FL patients treated with CAR T-cells versus those potentially eligible, but excluded from cellular therapy for other causes (either related to the patient or to the manufacturing) | 10 years enrollment, minimum 1 year follow-up | |
Secondary | Evaluation of Outcome: Overall Response rate (ORR), according to Lugano criteria. | Overall response rate (ORR): the percentage of responding patients will be estimated as the number of patients with complete response (CR) + partial response (PR) divided by the total number of patients assessable at each specific timepoint (3-6-12-18 months). Patients not assessable for response for any reason will be considered as non-responding in the calculation of the response rate. The exact 95% confidence intervals of the response percentage will also be estimated. | 10 years, minimum f-up 1 year | |
Secondary | Evaluation of Outcome: Overall survival (OS), according to Lugano criteria. | Overall survival (OS): time will be measured as the interval between the date of CAR-T infusion and the date of death for all causes, with censoring at the date of the latest follow-up in alive patients. OS curves will be estimated with the Kaplan Meier method. | 10 years, minimum f-up 1 year | |
Secondary | Evaluation of Outcome: Progression free survival (PFS) | Progression-free survival (PFS): time will be measured as the interval between the CAR-T infusion and the date of progression disease (PD), or death, whichever occurs first. | 10 years, minimum f-up 1 year | |
Secondary | Evaluation of Outcome: duration of response (DoR) | Duration of Response (DoR): for patients who will respond to treatment, the duration of response will be measured as the interval between the response achievement and the date of progression or death, whichever occurs first, with censoring at the date of the latest follow-up in alive patients without progression. DoR curves will be estimated with the Kaplan Meier method. | 10 years, minimum f-up 1 year | |
Secondary | Evaluation of Outcome: Overall Response rate (ORR) | Overall response rate (ORR): the percentage of responding patients will be estimated as the number of patients with complete response (CR) + partial response (PR) divided by the total number of patients assessable at each specific timepoint (3-6-12-18 months). Patients not assessable for response for any reason will be considered as non-responding in the calculation of the response rate. The exact 95% confidence intervals of the response percentage will also be estimated. | 10 years, minimum f-up 1 year | |
Secondary | Evaluation of Outcome: Overall survival (OS) | Overall survival (OS): time will be measured as the interval between the date of CAR-T infusion and the date of death for all causes, with censoring at the date of the latest follow-up in alive patients. OS curves will be estimated with the Kaplan Meier method. | 10 years, minimum f-up 1 year | |
Secondary | Evaluation of Outcome: non-relapse mortality (NRM) | Non-relapse mortality (NRM) after CAR-T cell therapy: time will be measured as the interval between the date of treatment start and the date of non-relapse death, with censoring at the date of the latest follow-up in alive patients without relapse. NRM cumulative incidence curves will be estimated regarding disease recurrence as competing event, and between groups comparisons will be performed using the Gray test. | 10 years, minimum f-up 1 year | |
Secondary | Evaluation of safety (CRS, neurotoxicity, infections, cytopenias, B cell aplasia, second malignancies) with particular attention to the safety in the new indications | CRS and ICANS will be measured according to ASCTC. Other toxicities will be measured according to CTCAE. | 10 years, minimum f-up 1 year | |
Secondary | Evaluation of bridging therapy: safety | Bridging therapy will be analysed in terms of safety as per adverse event occurrence (according to CTCAE). | 10 years, minimum f-up 1 year | |
Secondary | Evaluation of bridging therapy: efficay | Bridging therapy will be analysed in terms of efficacy in terms of response achievement compared to response assessment prior to bridging therapy. | 10 years, minimum f-up 1 year | |
Secondary | Evaluation of salvage therapy after CAR-T failure | In case of relapse after CAR-T, data regarding salvage therapy will be collected in terms of reponse (PFS) | 10 years, minimum f-up 1 year | |
Secondary | Evaluation of salvage therapy after CAR-T failure | In case of relapse after CAR-T, data regarding salvage therapy will be collected in terms of survival (OS). | 10 years, minimum f-up 1 year | |
Secondary | Comparison of the different CAR T-cell products (time from patient screening to infusion, disease response and safety) | Time form screening to infusion will be compared between CAR-T products, disease response will be evaluated in terms of CR, PR and SD. | 10 years, minimum f-up 1 year | |
Secondary | Comparison of the different histotypes (PMBCL, DLBCL, MCL FL) according to CAR-T cell products | Study popoulation will be analysed in terms of reponse and type CAR-T product. | 10 years, minimum f-up 1 year |
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