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Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo
Published on: February 6, 2015
The Imperative for a New Approach to Toxicity Analysis in Oncology Clinical Trials
Gita Thanarajasingam1, Joleen M Hubbard2, Jeff A Sloan2
1Department of Medical Oncology (GT, JH, AG) and Alliance Statistics and Data Center (JAS), Mayo Clinic, Rochester, MN. thanarajasingam.gita@mayo.edu.
Abstract:
A consistent system for reporting adverse events (AEs) is paramount in cancer clinical trials and is crucial to ensure the safety and tolerability of chemotherapy. The shift towards individualized medicine in oncology over the last decade has brought with it an impressive array of novel, targeted therapies and increasingly complex clinical trials to investigate them. Many of the newer drugs are oral agents that are taken continuously over protracted periods of time. They stand sharply in contrast to conventional cytotoxic intravenous chemotherapy given over a prefixed number of cycles. With its narrow emphasis on high-grade events, the consensus method for reporting of AEs in current cancer trials has not evolved to reflect the longitudinal toxicity profiles of the newer agents. Current methods do not incorporate patient-reported outcomes, which are of rising importance when therapy lasts for months or even years in a patient's life. Additionally, tables focusing on worst-grade events do not depict evolution of toxicity over time and therefore cannot offer patients and clinicians information about the onset or duration of a given AE. Most importantly, current methods do not capture lower-grade but longer-lasting toxicity that may have important ramifications on patients' quality of life. The failure to include any time-related information in our current methods of toxicity reporting provides an incomplete and even inaccurate depiction of AEs. To remain in step with the advancing science of cancer and the vast array of new therapies with extended treatment durations, our consensus method of AE analysis in oncology clinical trials must modernize to include the dimension of time.
Insights
Current cancer trial adverse event reporting lacks time-based analysis, failing to capture longitudinal toxicity profiles of new therapies. Modernizing reporting methods to include time is essential for accurate patient safety assessment.
Area of Science:
- Oncology
- Clinical Trials
- Pharmacovigilance
Background:
- The evolution of individualized cancer medicine has introduced novel targeted therapies, often administered orally over extended durations.
- Conventional adverse event (AE) reporting in clinical trials primarily focuses on high-grade events and lacks a temporal dimension.
- Current methods do not adequately capture the longitudinal toxicity profiles or patient-reported outcomes associated with prolonged cancer treatments.
Purpose of the Study:
- To highlight the limitations of current adverse event reporting systems in oncology clinical trials.
- To advocate for the modernization of AE analysis to incorporate the dimension of time.
- To emphasize the need for reporting systems that reflect the complexities of novel cancer therapies and their long-term toxicity.
Main Methods:
- Review of current consensus methods for adverse event reporting in cancer clinical trials.
- Analysis of the limitations of existing AE reporting in capturing longitudinal toxicity and patient-reported outcomes.
- Comparison of traditional AE reporting with the needs posed by novel, continuous, and oral cancer therapies.
Main Results:
- Current AE reporting systems, focused on worst-grade events, fail to depict toxicity evolution over time.
- Existing methods do not incorporate patient-reported outcomes, which are crucial for therapies lasting months or years.
- The omission of time-related information leads to an incomplete and potentially inaccurate depiction of adverse events.
Conclusions:
- The current consensus method for AE reporting in cancer trials is insufficient for evaluating novel therapies with extended treatment durations.
- Modernizing AE analysis to include time-related information is critical for accurately assessing drug safety and tolerability.
- Incorporating temporal data and patient-reported outcomes will provide a more comprehensive understanding of treatment toxicity and its impact on patients' quality of life.
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