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Updated: Aug 20, 2025

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Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
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The Aetion Coalition to Advance Real-World Evidence through Randomized Controlled Trial Emulation Initiative:
David Merola1, Ulka Campbell1, Nileesa Gautam1
1Aetion, Inc., New York, New York, USA.
Clinical Pharmacology and Therapeutics
|November 21, 2022
Summary
Real-world data (RWD) offers unique advantages for oncology research, complementing traditional trials. This study will conduct 10 RWD studies emulating randomized controlled trials to assess drug effectiveness and safety.
Area of Science:
- Oncology
- Health Informatics
- Biostatistics
Background:
- Recent advancements have increased the volume of real-world data (RWD) from clinical practice.
- RWD holds potential for supporting clinical and regulatory decisions in healthcare.
- In oncology, RWD offers complementary advantages to randomized controlled trials (RCTs) and enables ethically or logistically challenging investigations.
Purpose of the Study:
- To evaluate the reliability of RWD for drawing conclusions on drug effectiveness in oncology.
- To conduct 10 RWD-based studies that emulate RCTs using a systematic, protocol-driven approach.
- To inform stakeholders on RWD applications for product labeling, drug safety, and comparative effectiveness.
Main Methods:
- Emulating randomized controlled trials (RCTs) using real-world data (RWD).
- Employing a systematic, protocol-driven approach for study design and analysis.
- Addressing concerns of unmeasured confounding and bias inherent in RWD.
Main Results:
- (Study results are pending and will be reported upon completion.)
- Anticipated to provide insights into the validity of RWD for oncology research.
- Expected to demonstrate the feasibility of emulating RCTs with RWD.
Conclusions:
- RWD holds significant promise for generating clinical evidence in oncology, complementing RCTs.
- Careful study design and analysis are crucial to mitigate bias and confounding when using RWD.
- This research aims to enhance the understanding and application of RWD in oncology decision-making.
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