Biomarker Could Help Identify Difficult-to-Diagnose Kidney Cancer Subtype – Innovita Research

Biomarker Could Help Identify Difficult-to-Diagnose Kidney Cancer Subtype

High expression levels of the gene TRIM63 can serve as an accurate and sensitive biomarker of a subtype of kidney cancer known as microphthalmia-associated transcription factor family aberration-associated renal cell carcinomas — or MiTF renal cell carcinoma.

That’s according to a new, multi-institution study led by researchers at the University of Michigan Center for Translational Pathology and Department of Pathology. The findings appear in Modern Pathology.

MiTF aberrations occur in about 5% of adult kidney cancers and 40% of pediatric kidney cancers, and can be difficult to diagnose solely through clinical features and by looking at the cells under a microscope, explains study senior author, Rohit Mehra, MBBS, a clinical professor of pathology and member of the U-M Rogel Cancer Center.

“It’s important to distinguish MiTF from other subtypes of kidney cancers — clear cell, papillary and chromophobe — because these tumors may not respond well to standard, front-line treatments and may respond better to other approaches,” he says.

MiTF renal cell carcinoma is sometimes known as translocation renal cell carcinoma.

Using a technique known as RNA in situ hybridization, the researchers evaluated tissue samples from more than 175 cases — including 31 confirmed MiTF cases and 70 suspicious cases. They found TRIM63 mRNA was highly expressed across all three major subtypes of MiTF (TFE3 translocation, TFEB translocation and TFEB amplification), but had very little or no expression in other types of kidney cancer. The results were compared to those obtained through the current clinical standard, known as fluorescence in situ hybridization, or FISH.

“Our results suggest this new biomarker, in combination with standard assays, can help improve the accuracy and efficiency in diagnosing this challenging kidney cancer subtype,” Mehra says.

Source: University of Michigan Health System