Personalized treatment options for patients with lung cancer have come a long way in the past two decades. For patients with non-small cell lung cancer, the most common subtype of lung cancer and the leading cause of cancer-related death worldwide, two major treatment strategies have emerged: tyrosine kinase inhibitors and immune checkpoint inhibitors. However, choosing the right therapy for a non-small cell lung cancer patient isn't always an easy decision, as biomarkers can change during therapy rendering that treatment ineffective. Moffitt Cancer Center researchers are developing a noninvasive, accurate method to analyze a patient's tumor mutations and biomarkers to determine the best course of treatment.
Nature Communications. Research paper: