Study type

Study topic

DiseaseĀ /health condition
Human medicinal product

Study type

Non-interventional study

Scope of the study

Effectiveness study (incl. comparative)
Safety study (incl. comparative)
Non-interventional study

Non-interventional study design

Other

Non-interventional study design, other

Secondary use of EBMT and CIBMTR data
Study drug and medical condition

Name of medicine

TECARTUS

Study drug International non-proprietary name (INN) or common name

BREXUCABTAGENE AUTOLEUCEL

Anatomical Therapeutic Chemical (ATC) code

(L01X) OTHER ANTINEOPLASTIC AGENTS
OTHER ANTINEOPLASTIC AGENTS

Medical condition to be studied

Mantle cell lymphoma
Population studied

Age groups

Adults (18 to < 46 years)
Adults (46 to < 65 years)
Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)

Estimated number of subjects

1600
Study design details

Main study objective

The primary objective is to evaluate effectiveness of Tecartus in terms of overall response rate.

Outcomes

Overall response rate, Overall survival, complete remission, duration of response, time to next treatment, relapse or progression of the primary disease, safety & effectiveness profile by gender, age, and in special populations. Incidence rates & severity of adverse drug reactions, including secondary malignancies, Cytokine Release Syndrome (CRS), neurologic events, serious infections, prolonged cytopenias, non-relapse mortality (NRM) and hypogammaglobulinemia causes of death, risk of tumor lysis syndrome & aggravated Graft Versus Host Disease, and detection of replication-competent retrovirus.

Data analysis plan

Analysis of all endpoints will include all eligible patients who are documented within the EBMT, CIBMTR, and are treated with Tecartus.
Categorical variables will be summarized descriptively by number and percentage of patients in each categorical definition with 95% confidence intervals.
Continuous variables will be summarized descriptively by mean, standard deviation, median, lower quartile, upper quartile, minimum and maximum. Patient incidence of endpoint events will be provided. Poisson regression will be used to determine follow-up adjusted incidence rate.
Kaplan-Meier (KM) curves will be used to illustrate all time-to-event data without competing risks. For endpoints with competing risks, cumulative incidence will be provided based on competing risks methods.