Health-related quality of life data collected in chimeric antigen receptor T-cell (CAR-T) therapy clinical trials

Abstract

Introduction: Chimeric antigen receptor T-cell (CAR-T) therapy represents a novel approach to cancer treatment, particularly advanced cancer. Much of the current evidence for the effectiveness of these therapies is associated with considerable uncertainty. This uncertainty poses a challenge for decision-makers and health systems responsible for granting patients access to these therapies. While the stage of development of the technology is a component of this uncertainty, it can be reduced with relevant data collection alongside clinical trials that is meaningful to patients and decision-makers. The objective of this research was to investigate the frequency with which HRQoL data is collected in currently registered clinical trials investigating CAR-T cancer treatment.

Methods: We searched for current CAR-T clinical trials at a registry compiled at United States National Institutes of Health National Library of Medicine (NLM) database. Trials were required to be active, recruiting, or completed. Trials were required to be phase I-IV, listed as 'interventional', and specific to cancer treatment.

Results: There were 424 clinical trials that were included in our analysis. The majority of these trials (76 %) were investigating CAR-T therapy in haematological malignancies. Of the included studies, only 29 (6.8 %) included HRQoL as a primary or secondary outcome measure. Only 25 (5.9 %) trials reported collecting data on overall survival.

Conclusions: This investigation into clinical trials for CAR-T therapies has shown a failure to collect valuable HRQoL data. Sponsors of clinical trials need to appreciate that clinical trials for novel therapies need to collect relevant data that is paramount to informing decision-making and providing access to patients.

Policy statement: The effectiveness of innovative cancer therapies, such as CAR-T, remains associated with considerable uncertainty. This uncertainty can be reduced for decision-makers via the collection of critical HRQoL data. Sponsors of clinical trials should be incentivized to collect these data, particularly where the intention is to use that trial for a reimbursement submission and decision..

Keywords: Clinical trials; Cost-effectiveness analysis; Drug policy; Drug reimbursement; Economic evaluation; Health technology assessment; Quality of life.