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Updated: Jun 8, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Modernizing the assessment and reporting of adverse events in oncology clinical trials using complementary
Mathilde Morisseau1, Carlos Gomez-Roca2, Marie Viala3
1Biostatistics & Health Data Science Unit, Oncopole Claudius Regaud- IUCT-O, 1 Avenue Irène Joliot-Curie, Toulouse, Cedex 9, 31059, France.
Abstract:
The reporting of adverse events (AEs) is fundamental to characterize safety profiles of novel therapeutic drug classes, however, conventional analysis strategies are suboptimal tools for this task. We therefore attempted to contribute to the modernization of AE analysis by encompassing the dimension of time, the duration and the recurrent nature of AEs induced by these extended treatment durations. This paper presents and highlights the benefits of alternative approaches to modernize AE analysis based on the MOTIVATE prospective study modeling immune-related AEs (irAEs) in patients with solid tumors (regardless of the primary site) treated with immune checkpoint inhibitor irrespective of disease stage. The probability of presenting an irAE over time was estimated using the prevalence function. The time-to-onset (TTO) and the mean number of recurrent irAEs were also assessed. Among the 147 patients analyzed, 39.7% had a melanoma, 37.7% a non-small cell lung cancer (NSCLC) and 74.8% were treated for metastatic disease. Despite a higher proportion of melanoma patients presenting at least one irAE, the prevalence of irAEs was lower in melanoma than in NSCLC patients over time. TTO analysis showed that irAEs occurred earlier in NSCLC patients whereas melanoma patients experienced more recurrent irAEs over the long-term. The prevalence function of non-metastatic and metastatic patients revealed different long-term toxicity profiles. These alternative methodologies capture different toxicity patterns (time-to-onset, recurrent, acute episodic or long-term moderate AEs) and provide a more consistent safety assessment for new therapeutics, thereby assisting clinicians and health authorities in their therapeutic decision-making processes.
Insights
New methods for analyzing adverse events (AEs) over time reveal distinct safety profiles for immune checkpoint inhibitors in solid tumors. This improves safety assessment for novel therapeutics.
Area of Science:
- Pharmacovigilance and Clinical Safety Analysis
- Oncology and Immunotherapy Research
Background:
- Conventional adverse event (AE) analysis is suboptimal for novel therapeutics, particularly immune checkpoint inhibitors (ICIs).
- Characterizing safety profiles requires methods that account for the temporal dynamics of AEs, including duration and recurrence.
Purpose of the Study:
- To modernize AE analysis by incorporating time, duration, and recurrence of immune-related AEs (irAEs).
- To evaluate alternative AE analysis approaches using data from the MOTIVATE prospective study.
- To compare irAE patterns in patients with melanoma and non-small cell lung cancer (NSCLC) treated with ICIs.
Main Methods:
- Utilized the MOTIVATE prospective study data from 147 patients with solid tumors treated with ICIs.
- Estimated the probability of irAEs over time using the prevalence function.
- Assessed time-to-onset (TTO) and the mean number of recurrent irAEs.
Main Results:
- Melanoma patients had a higher proportion of irAEs, but NSCLC patients showed a higher prevalence of irAEs over time.
- NSCLC patients experienced earlier irAE onset (TTO), while melanoma patients had more recurrent irAEs long-term.
- Distinct long-term toxicity profiles were observed between non-metastatic and metastatic patients.
Conclusions:
- Alternative AE analysis methodologies capture diverse toxicity patterns (e.g., time-to-onset, recurrent).
- These modernized approaches provide a more comprehensive safety assessment for new therapeutics.
- Improved safety data assists clinicians and health authorities in therapeutic decision-making.
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