About this trial
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.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Patients with diagnosis of DLCBL, PMBCL, MCL and FL eligible for CAR-T treatment with commercialy available products in Italy.
Disqualifiers
Not applicable
Trial population
Patients with diagnosis of DLCBL, PMBCL, MCL and FL eligible for CAR-T treatment with commercialy available products in Italy.
Trial design
Cohort
Prospective
Treatments tested in this trial
Not listed
Trial groups
Trial outcomes
Primary outcomes
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.
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)
Secondary outcomes
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.
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.
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.
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.
Other outcomes
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.
Characterization of toxicity biomarkers
Biomarkers will be analysed in relation to toxicities occurrence on order to identify predictors of toxicity onset and severity
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)
Analysis of the CAR-T expression
Evaluate the persistence of CAR-T after administration
Sponsors and contacts
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Paolo Corradini
Lead sponsor
Fondazione IRCCS Istituto Nazionale dei Tumori, Milano
Sponsor institution
Annalisa Chiappella
Collaborator
Cristiana Carniti
Collaborator
Anna Dodero
Collaborator