LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

The predictive power of tumor mutational burden in lung cancer immunotherapy response is influenced by patients’ sex

Photo from wikipedia

Immunotherapy, represented by immune checkpoint inhibitors (ICI), is transforming the treatment of cancer. However, only a fraction of patients show response to ICI, and there is an unmet need for… Click to show full abstract

Immunotherapy, represented by immune checkpoint inhibitors (ICI), is transforming the treatment of cancer. However, only a fraction of patients show response to ICI, and there is an unmet need for biomarkers that will identify patients more likely to respond to ICI. Here we report that the ICI response prediction biomarker tumor mutational burden (TMB) shows significant sex differences. TMB's predictive power is significantly better for female than for male lung cancer patients. Receiver operating characteristic curve analysis was performed and the area under the curve (AUC) was reported to evaluate the predictive power of TMB in lung cancer ICI response. Hazard ratios (HR) of TMB‐high vs. TMB‐low patients were compared between male and female patients. Both AUC and HR differences between female and male are significant in all available independent lung cancer datasets. However, the AUC of programmed death ligand 1 (PD‐L1) expression does not show a difference between female and male, suggesting TMB, but not PD‐L1 expression has a better predictive power for female than for male lung cancer patients. Our study suggests significant sex differences in the performance of TMB in ICI response prediction. Future development of ICI biomarker should consider sex differences and special efforts should be paid to improve the performance of ICI predictive biomarkers for male lung cancer patients.

Keywords: response; predictive power; sex; lung cancer; cancer

Journal Title: International Journal of Cancer
Year Published: 2019

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.