A single sample classifier can predict cancer-associated fibroblast subtypes in patient samples

In a collaboration between several labs at UNC Lineberger, researchers have defined cancer-associated fibroblast (CAF) subtypes that are clinically robust, prognostic, and predictive of immunotherapy response and developed a clinical classifier designed to distinguish between these subtypes in patients.

This article was originally published on MedicalXpress.com

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