The Weighted Toxicity Score: Confirmation of a Simple Metric to Communicate Toxicity in Randomized Trials of Systemic Cancer Therapy

Author:

Jordan Jacob1,Maki Robert G123ORCID

Affiliation:

1. Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

2. Abramson Cancer Center, University of Pennsylvania , Philadelphia, PA , USA

3. Department of Medicine, Memorial Sloan Kettering Cancer Center , New York, NY , USA

Abstract

Abstract Introduction FDA’s Project Optimus was developed in part to better identify appropriate dose and schedule of cancer therapeutics. The tabular method to summarize patients’ maximum toxicity in a clinical trial does not allow for ready comparison to the treatment’s benefit. In this manuscript, we apply a simple tool, the weighted toxicity score (WTS), to trials involving lung cancer immunotherapy and chemotherapy, as well as those cited in a recent publication as examples of trials that represent successful reduction of the appropriate dose of anti-cancer agents. Methods PubMed was queried for randomized controlled trials of therapy involving immune checkpoint inhibitors in lung cancer. Trial data from studies highlighting initial success with dose adjustments after FDA approval also were assembled and analyzed according to the WTS procedure described previously, compared to clinical outcomes data. Results The WTS provided, with the clinical outcome(s), a data pair that leads to easy interpretation of the expected benefit versus relative toxicity of studies involving immunotherapy or chemoimmunotherapy in lung cancers. The WTS was consistent with the conclusions of the primary studies, helping to quantitate the toxicity difference between treatments in a previously unavailable way. Conclusion The WTS provides a tool to show the cost in toxicity of therapy in a randomized clinical trial, with applicability to studies involving chemotherapy, immunotherapy, or kinase-directed therapy. Inclusion of a running tally of WTS during conduct of a trial could serve as one means to adjust dosing or to provide feedback during data safety monitoring of a clinical trial.

Funder

Fondazione Enrico Pallazzo and Cycle for Survival

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology

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