AI Summary
This study identifies five factors that can predict cancer patients' response to checkpoint inhibitors, validated in over 1,400 patients with various cancer types. These findings offer a way to interpret biomarkers for CPI response and could improve personalized cancer treatment in the future.
Researchers have identified five independent factors that predict cancer patients’ response to checkpoint inhibitors (CPIs). The study validates these factors in more than 1,400 patients and diverse types of cancer. These findings provide a framework to interpret biomarkers of response to CPIs and suggest a future pathway to improve personalized cancer medicine.