Deconvolving Clinically Relevant Cellular Immune Cross-talk from Bulk Gene Expression Using CODEFACS and LIRICS Stratifies Patients with Melanoma to Anti-PD-1 Therapy.
Kun WangSushant PatkarJoo Sang LeeEdward Michael GertzWelles RobinsonFiorella SchischlikDavid R CrawfordAlejandro A SchäfferEytan RuppinPublished in: Cancer discovery (2022)
This work presents two new computational methods that can deconvolve a large collection of bulk tumor gene expression profiles into their respective cell type-specific gene expression profiles and identify cell type-specific ligand-receptor interactions predictive of response to immune-checkpoint blockade therapy. This article is highlighted in the In This Issue feature, p. 873.