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Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo
Published on: February 6, 2015
Target trial emulation in oncology: current use and future directions
Hui-Yao Huang1, Le Wang2, Sheng Xu3
1Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021 China.
Abstract:
Target trial emulation (TTE) has demonstrated popularity because of its ability to improve the reliability of causal inference from observational data. Nevertheless, knowledge about the current use, potential challenges, and insights of target trials in oncology is scarce. A total of 90 TTE studies in cancer areas were identified through systematic reviews in PubMed and Embase. Among the 54 applications in cancer treatment, registry databases (44.4%) and overall survival (OS, 63.0%) were predominantly used as data sources and primary endpoints, respectively. Approximately 30 (55.6%) of the included TTE cases were associated with immortal time bias, and 21 (38.9%) were associated with prevalent user bias. Among the 21 trials from 13 studies that aimed to calibrate the results from preexisting randomized controlled trials (RCTs), only 42.9% met both statistical agreement and estimate agreement. The availability of fit-for-purpose data sources and uncertainty about result concordance were the main hurdles limiting the quantity and quality of TTE in oncology areas. Promoting regulatory acceptance by initiating special projects could be crucial for the expanded application of real-world data (RWD) using TTE. Potential solutions, such as the integration of electronic medical records at the regional or country level, linkage with insurance claims databases, the modernization of eligibility criteria, the use of OS as the primary endpoint, and other best practices, were recommended for improving the feasibility and quality of oncology TTE.
Supplementary Information:
The online version contains supplementary material available at 10.1186/s40779-026-00685-9.
Insights
Target trial emulation (TTE) in oncology faces challenges like bias and data limitations. Improving data sources and regulatory acceptance is key to enhancing TTE
Area of Science:
- Observational studies
- Causal inference
- Oncology research
Background:
- Target trial emulation (TTE) enhances causal inference from observational data.
- Knowledge gaps exist regarding TTE application, challenges, and insights in oncology.
Purpose of the Study:
- To systematically review TTE studies in oncology.
- To identify common data sources, endpoints, biases, and challenges.
- To assess TTE's role in calibrating randomized controlled trials (RCTs).
Main Methods:
- Systematic review of 90 TTE studies in cancer areas via PubMed and Embase.
- Analysis of data sources, primary endpoints, biases, and RCT calibration.
- Evaluation of statistical and estimate agreement for RCT calibration.
Main Results:
- Registry databases and overall survival (OS) were common.
- Significant immortal time bias (55.6%) and prevalent user bias (38.9%) were noted.
- Only 42.9% of TTE studies calibrating RCTs met agreement criteria.
Conclusions:
- Limited fit-for-purpose data and uncertainty in result concordance hinder oncology TTE.
- Promoting regulatory acceptance and improving data integration are crucial.
- Recommendations include enhancing data sources, standardizing endpoints like OS, and modernizing criteria.
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