Phase I clinical trial designs in oncology: A systematic literature review from 2020 to 2022

Ning Li1,2, Xitong Zhou3, Donglin Yan2

  • 1Department of Biostatistics, College of Public Health, University of Kentucky, Lexington, KY, USA.

Abstract

Insights

Phase I clinical trials in oncology are evolving. While the traditional 3+3 design remains common, model-based designs are increasing, offering potential improvements for safe dose escalation.

Area of Science:

  • Oncology
  • Clinical Pharmacology
  • Biostatistics

Background:

  • Phase I clinical trials are crucial for determining the maximum tolerated dose (MTD) of novel cancer drugs.
  • Model-based designs are gaining traction in dose-finding studies.
  • This study provides an overview of current practices in Phase I oncology trials.

Purpose of the Study:

  • To analyze trends and methodologies in Phase I oncology clinical trials.
  • To compare industry-sponsored versus academia-sponsored research in this domain.

Main Methods:

  • Retrospective analysis of Phase I oncology trials published between January 2020 and December 2022.
  • Data extraction from PubMed focusing on dose escalation/expansion studies.
  • Comparison of study, design, and patient parameters between industry and academic sponsorships.

Main Results:

  • 256 Phase I oncology trials were analyzed; 71.1% used a single cohort.
  • The traditional 3+3 design was used in 73.85% of trials, though its use decreased to 74%.
  • Model-based designs increased to approximately 10%; over 50% of trials did not reach MTDs.

Conclusions:

  • Traditional 3+3 designs are still prevalent but show a slight decrease in usage.
  • There is a growing adoption of model-based designs in Phase I oncology trials.
  • Further development of novel model-based dose-escalation designs is warranted for clinical practice.

Related Concept Videos

Cancer Therapies02:49

Cancer Therapies

Cancer therapies are various modes of treatment, such as surgery, radiation therapy, and chemotherapy that are administered to cancer patients.
However, cancer treatments can pose several challenges, as therapies used to kill cancer cells are generally also toxic to normal cells. Moreover, cancer cells mutate rapidly and can develop resistance to chemical agents or radiation therapy. Besides, all types of cancer cells may not respond to the same therapy. Some cancer cells respond to one...
7.6K
Targeted Cancer Therapies02:57

Targeted Cancer Therapies

The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
There are several types of targeted therapies against...
7.5K
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
4.9K
Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
329
Hazard Ratio01:12

Hazard Ratio

The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
91