What can real-world data tell us about the prognostic significance of an emerging biomarker?

Summary of: Shao C, Li G, Huang L, Pruitt S, Castellanos E, Frampton G, Carson K, Snow T, Singal G, Fabrizio BS, Alexander BM, Jin F, Zhou W. Prevalence of High Tumor Mutational Burden and Association With Survival in Patients With Less Common Solid Tumors. JAMA Netw Open. 2020;3(10):e2025109.

Our summary

While tumor mutational burden (TMB) is an emerging biomarker that may be associated with response to immune checkpoint inhibitor therapies, the prognostic value associated with TMB in the absence of immunotherapy is uncertain.

This study sought to assess the prevalence of high TMB and its association with overall survival among patients with the same tumor types as the clinical trial cohort but who hadn’t been treated with immunotherapy.

Interested in working with Flatiron data?

Contact our Life Sciences Partnerships team to get started.

arrow

Sales CTA Form

Why this matters

While immune checkpoint inhibitors have revolutionized cancer therapy, the understanding of how to optimize patient selection for treatment with immunotherapy is still evolving. The potential role of tumor mutational burden (TMB) in this regard continues to be an area of active investigation.

In order to validate TMB as a biomarker, specifically predictive of benefit with immune checkpoint inhibitors, investigators have to first characterize the overall prognostic effect (if any) that this marker may have. This report addresses that stepping stone; by determining that TMB in and of itself appears not to have any influence on outcomes, it will be easier to attribute outcome differences associated with high or low TMB in patients treated with immune checkpoint inhibitors to the specific interaction between the marker and this therapeutic class.

Read the research