Supporting Evidence in Phase 2 Cancer Trial Protocols: A Content Analysis

Cette étude examine, pour 50 essais cliniques de phase II, la pertinence des données utilisées pour démontrer l'efficacité d'une monothérapie anticancéreuse

Journal of the National Cancer Institute, sous presse, 2024, article en libre accès

Résumé en anglais

Background : Phase 2 trials are instrumental for designing definitive efficacy trials or attaining accelerated approval. However, high attrition of drug candidates in phase 2 raises questions about their supporting evidence.

Methods : We developed a typology of supporting evidence for phase 2 cancer trials. We also devised a scheme for capturing elements that enable an assessment of the strength of such evidence. Using this framework, we content analyzed supporting evidence provided in protocols of 50 randomly sampled phase 2 cancer monotherapy trials starting between January 2014 and January 2019, available on ClinicalTrials.gov.

Results : Of the 50 protocols in our sample, 52% were industry funded. Most invoked supporting evidence deriving from trials against different cancers (n = 28, 56%) or preclinical studies (n = 48, 96%), but not from clinical studies involving the target drug-indication pairing (n = 23, 46%). When presenting evidence from models, only one protocol (2%) explained their translational relevance. Instead, protocols implied translatability by describing molecular (86%) and pathophysiological (84%) processes shared by model and target systems. Protocols often provided information for assessing the magnitude, precision and risk of bias for supporting trials (n = 43, 93%, 91%, 47%, respectively). However, such information was often unavailable for preclinical studies (n = 49, 53%, 22%, 59%).

Conclusion : Supporting evidence is key to justifying the commitment of scientific resources and patients to a clinical hypothesis. Protocols often omit elements that would enable critical assessment of supporting evidence for phase 2 monotherapy cancer trials. These gaps suggest the promise of more structured approaches for presenting supporting evidence.