Related Experiment Video

Updated: Oct 5, 2025

Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo
09:19

Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo

Published on: February 6, 2015

8.8K

Application of Real-World Data to External Control Groups in Oncology Clinical Trial Drug Development

Timothy A Yap1, Ira Jacobs2, Elodie Baumfeld Andre2

  • 1Department of Investigational Cancer Therapeutics (Phase I Program), Division of Cancer Medicine, the University of Texas MD Anderson Cancer Center, Houston, TX, United States.

Frontiers in Oncology
|January 24, 2022
PubMed

Insights

Real-world data (RWD) offers a promising alternative for constructing external control arms in oncology clinical trials. This approach can enhance decision-making for drug sponsors and regulatory bodies, especially for precision oncology drugs.

Area of Science:

  • Oncology Drug Development
  • Clinical Trial Design
  • Real-World Data (RWD) Applications

Background:

  • Randomized controlled trials (RCTs) are the gold standard for evaluating oncology interventions, but are resource-intensive.
  • Single-arm trials using surrogate endpoints support accelerated approval for precision oncology drugs but lack comparator arms.
  • Interpreting efficacy in single-arm trials is challenging due to the absence of a standard-of-care control.

Purpose of the Study:

  • To review the benefits and challenges of using real-world data (RWD) to construct external control arms in oncology clinical trials.
  • To explore the relevance of RWD in early-stage oncology drug development.
  • To provide insights for improving decision-making by study sponsors and regulatory authorities.

Main Methods:

  • Review of existing literature and methodologies for constructing external control arms using real-world data.
  • Analysis of the advantages and disadvantages of RWD-based external control arms compared to traditional trial designs.
  • Exploration of RWD's role in supporting regulatory submissions and early-phase oncology research.

Main Results:

  • Leveraging RWD for external control arms can provide a valuable alternative to RCTs and uncontrolled single-arm trials.
  • RWD can potentially improve the efficiency and informativeness of oncology clinical trials, particularly for rare or specific patient populations.
  • Challenges include data quality, standardization, and methodological considerations for robust RWD utilization.

Conclusions:

  • Real-world data presents a significant opportunity to enhance oncology clinical trial design and drug development.
  • The strategic use of RWD for external control arms can aid in evaluating drug efficacy and safety, supporting regulatory decisions.
  • Further research and methodological development are needed to optimize the application of RWD in oncology research.
Keywords:
RCTcancerclinical trialdesigndrug developmentexternal control grouponcologyreal-world data

More Related Videos

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts10:27

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts

Published on: July 25, 2020

7.4K
Ovarian Cancer Patient-Derived Organoid Models for Pre-Clinical Drug Testing05:35

Ovarian Cancer Patient-Derived Organoid Models for Pre-Clinical Drug Testing

Published on: September 15, 2023

1.7K

Related Concept Videos

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
190
Clinical Trials: Overview01:11

Clinical Trials: Overview

Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
3.7K
Clinical Trials01:16

Clinical Trials

Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
9.5K
Controls in Experiments01:13

Controls in Experiments

When conducting an experiment, it is crucial to have control to reduce bias and accurately measure the dependent variables. It also marks the results more reliable. Controls are elements in an experiment that have the same characteristics as the treatment groups but are not affected by the independent variable. By sorting these data into control and experimental conditions, the relationship between the dependent and independent variables can be drawn. A randomized experiment always includes a...
13.3K
Data Collection by Experiments01:13

Data Collection by Experiments

Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
25.5K
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...
476