Specific Gene Expression Differentiates Moles from Melanoma
By LabMedica International staff writers
Posted on 08 Dec 2016
Most melanomas are driven by mutations that spur out-of-control cell replication, while nevi which are moles composed of non-cancerous cells at the skin surface, that harbor the same mutations do not grow wildly.Posted on 08 Dec 2016
Dermatologists surmise that 30% to 40% of melanomas, approximately 30,000 cases per year, may arise in association with a nevus. However, clinicians would like to be able to better distinguish between the two, especially in borderline cases when they examine skin tissue after a patient biopsy.
Scientists at the University of Pennsylvania (Philadelphia, PN, USA) stained human nevus and melanoma tissue samples with p15 and p16 antibodies. Staining was evaluated and graded for percentage and intensity to determine an “H score,” which correlates with the level of protein in the cells. This approach could also form the basis of a clinical determination, taking the form of an antibody test for p15 from a patient’s biopsy specimen. Ribonucleic acid (RNA) was also extracted from 14 nevus and melanoma tissue samples to determine levels of p15 messenger RNA (mRNA). The expression of p15 mRNA was significantly increased in melanocytic nevi compared with melanomas as determined by real-time quantitative real-time quantitative polymerase chain reaction (RT-PCR) analysis.
John T. Seykora, MD, PhD, a professor of Dermatology and senior author of the study, said, “We showed that p15 expression is a robust biomarker for distinguishing nevus from melanoma. Making this distinction has been a long-standing issue for dermatologists. We hope that this new finding will help doctors determine if a nevus has transformed to melanoma. This could help doctors and patients in difficult cases. If the staining level is high then that would be most consistent with a benign nevus. If the staining level is low then that would be consistent with a melanoma.” The study was published in the December 2016 issue of the American Journal of Pathology.
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