Literature DB >> 34994596

Insights for Quantifying the Long-Term Benefit of Immunotherapy Using Quantile Regression.

Bassirou Mboup1,2, Christophe Le Tourneau1,3, Aurélien Latouche1,2.   

Abstract

PURPOSE: Immunotherapy has been approved to treat many tumor types. However, one characteristic of this therapeutic class is that survival benefit is due to late immune response, which leads to a delayed treatment effect. Quantifying the benefit, if any, of such treatment, will thus require other metrics than the usual hazard ratio and different approaches have been proposed to quantify the long-term response of immunotherapy.
METHOD: In this paper, we suggest to use quantile regression for survival data to quantify the long-term benefit of immunotherapy. Our motivation is that this approach is not trial-specific and provides clinically understandable results without specifying arbitrary time points or the necessity to reach median survival, as is the case with other methods. We use reconstructed data from published Kaplan-Meier curves to illustrate our method.
RESULTS: On average, patients from the immunotherapy group have 60% chance to survive 5.46 months (95% CI, 2.57 to 9.02) more than patients in the chemotherapy group.

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Year:  2021        PMID: 34994596     DOI: 10.1200/PO.20.00164

Source DB:  PubMed          Journal:  JCO Precis Oncol        ISSN: 2473-4284


  1 in total

Review 1.  Analysis of patient reported outcomes included in the registrational clinical trials of nivolumab for advanced non-small cell lung cancer.

Authors:  Remziye Zaim; Ken Redekop; Carin A Uyl-de Groot
Journal:  Transl Oncol       Date:  2022-04-13       Impact factor: 4.803

  1 in total

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