Home Page > Research areas > Methodology > Applied stat methodology > Design and analysis of trials involving biomarkers

Design and analysis of trials involving biomarkers

Evaluating stratified approaches to treatment, typically according to the value of one or more biomarkers, is an important area of medical research. This is particularly in cancer where personalised medicine is becoming a real possibility.

At the CTU, examples of such biomarker trials are FOCUS3 and FOCUS4 (currently in design) in colorectal cancer. We are planning to run further trials, but there are competing approaches to evaluating strategies based on biomarkers.

One consists of randomising patients to one of two or more treatment strategies according to their values of a biomarker. An alternative design is to randomise patients to each of two or more treatments, independently of the biomarker, and then analyse the treatment effects according to the value of the biomarker (taken at baseline).

In this area, we are reviewing the different approaches, with the aim of making recommendations to researchers to fill any identified gaps in the methodology. If required, we will carry out simulation studies to identify risks and benefits (power and false positive rates) of the different approaches under feasible scenarios.

The speed of science means that potential new biomarkers are being discovered each year, and in the lifetime of a long-term trial, the biomarker that led to the trial design may not ultimately be the most appropriate one for the therapy under investigation. Therefore, one of the key practical issues is to try to develop designs of biomarker trials that are ‘future-proof’.

 

Key projects

  • Review of competing trial designs, and approaches to sample size calculation
  • Evaluation and possible further development of statistical methods for the analysis of biomarker trials, particularly in terms of new biomarkers emerging during the course of the trial