Reliable prediction of treatment responses is crucial for optimal patient care during treatment. However, in daily clinical practice, we almost exclusively rely on imaging-based staging with estimation of the tumor volume. Particularly in the era of immuno-oncology, imaging-only staging has several limitations, especially in the patient subset with stable disease (SD) while taking immune checkpoint inhibitors (ICIs), which encompasses a wide range of clinical outcomes across entities.
1 In this context, there is an unmet need for complementary markers that enable real-time assessment of therapy response and outcomes in conjunction with imaging.