Related Experiment Video
Updated: May 5, 2026

Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo
Published on: February 6, 2015
Evaluating many treatments and biomarkers in oncology: a new design
Richard Kaplan1, Timothy Maughan, Angela Crook
1Richard Kaplan, Angela Crook, David Fisher, Louise Brown, and Mahesh Parmar, Medical Research Council Clinical Trials Unit, London; Timothy Maughan, University of Oxford, Oxford; and Richard Wilson, Queen's University Belfast, Belfast, United Kingdom.
Abstract:
There is a pressing need for more-efficient trial designs for biomarker-stratified clinical trials. We suggest a new approach to trial design that links novel treatment evaluation with the concurrent evaluation of a biomarker within a confirmatory phase II/III trial setting. We describe a new protocol using this approach in advanced colorectal cancer called FOCUS4. The protocol will ultimately answer three research questions for a number of treatments and biomarkers: (1) After a period of first-line chemotherapy, do targeted novel therapies provide signals of activity in different biomarker-defined populations? (2) If so, do these definitively improve outcomes? (3) Is evidence of activity restricted to the biomarker-defined groups? The protocol randomizes novel agents against placebo concurrently across a number of different biomarker-defined population-enriched cohorts: BRAF mutation; activated AKT pathway: PI3K mutation/absolute PTEN loss tumors; KRAS and NRAS mutations; and wild type at all the mentioned genes. Within each biomarker-defined population, the trial uses a multistaged approach with flexibility to adapt in response to planned interim analyses for lack of activity. FOCUS4 is the first test of a protocol that assigns all patients with metastatic colorectal cancer to one of a number of parallel population-enriched, biomarker-stratified randomized trials. Using this approach allows questions regarding efficacy and safety of multiple novel therapies to be answered in a relatively quick and efficient manner, while also allowing for the assessment of biomarkers to help target treatment.
Insights
This study introduces an efficient clinical trial design for biomarker-stratified cancer treatments. The FOCUS4 protocol rapidly evaluates novel therapies and biomarkers in advanced colorectal cancer patients.
Area of Science:
- Oncology
- Clinical Trial Design
- Translational Research
Background:
- Biomarker-stratified clinical trials require efficient designs to evaluate novel therapies.
- Current trial designs may not optimally integrate biomarker evaluation with treatment assessment.
Purpose of the Study:
- To introduce and describe the FOCUS4 protocol, a novel approach for biomarker-stratified clinical trials.
- To evaluate the efficacy and safety of novel targeted therapies in advanced colorectal cancer based on specific biomarkers.
- To assess if treatment benefits are restricted to biomarker-defined patient populations.
Main Methods:
- The FOCUS4 protocol employs a parallel, population-enriched, biomarker-stratified randomized trial design.
- Patients with metastatic colorectal cancer are assigned to cohorts based on biomarkers (e.g., BRAF, AKT, KRAS/NRAS).
- A multistaged approach with interim analyses allows for adaptation based on treatment activity.
Main Results:
- FOCUS4 is the first trial to assign all metastatic colorectal cancer patients to parallel biomarker-stratified randomized trials.
- This design enables efficient evaluation of multiple novel therapies and their associated biomarkers.
- The protocol facilitates rapid assessment of treatment efficacy and safety in targeted patient groups.
Conclusions:
- The FOCUS4 protocol offers an efficient strategy for evaluating novel therapies in biomarker-defined populations.
- This approach accelerates the process of answering key research questions regarding targeted treatments.
- Biomarker assessment within this trial design aids in targeting treatment to specific patient groups, optimizing outcomes.
More Related Videos
07:41Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
07:40Preparation of Peripheral Blood Mononuclear Cell Pellets and Plasma from a Single Blood Draw at Clinical Trial Sites for Biomarker Analysis
Published on: March 20, 2021
Related Concept Videos
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Cancer Survival Analysis
Comparing the Survival Analysis of Two or More Groups
Combination Therapies and Personalized Medicine
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...
Crossover Experiments
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.