Resumen
We previously reported a gene signature, ?Chromophobe-Oncocytoma Gene Signature? (COGS), to differentiate chromophobe renal cell carcinoma from oncocytoma. Current clinical workflow with histology and immunohistochemistry can fail to distinguish these two renal cancers. We have evaluated the potential of COGS genes to classify these two renal tumors, on a single-molecule counting platform by measuring the expression of the COGS genes in archival tissue at Augusta University Medical Center. We show the expression level difference of the COGS signature in these tumors is able to classify these cancers accurately using machine learning. The assay has the potential to be instituted in clinically complex cases to differentiate these renal tumors.