Technique Predicts Cancer Recurrence Risk for Melanoma Patients

Despite advances in molecular diagnostics for other forms of cancer, analysis of a skin cancer lesion is surprisingly simplistic. The lesion's thickness, patients with thinner melanomas tend to do better, and microscopic features, such as ulcerations, are considered, and a T stage of 1 through 4 is assigned.

An international team of scientists led by those at Brigham and Women's Hospital (Boston, MA, USA) determined if certain measurable features of T cells could predict recurrence in patients whose primary melanoma had been removed and were free of disease. T1 melanomas (<1mm) rarely metastasize, so they studied T2 (1-2mm), T3 (2-4mm) and T4 (>4mm) primary melanomas. The team’s analysis included more than 300 samples from patients across different sites. The team compared samples from patients whose primary melanoma progressed to metastatic disease to patients whose primary melanoma did not. They used high-throughput DNA sequencing, performed by Adaptive Biotechnologies (Seattle, WA, USA) to analyze the T cell repertoire of the tumors.

The investigators found that of all variables identified, the T-cell fraction (TCFr; or proportion of cells in the lesion that were T cells) was a powerful, independent predictor of which patients would progress. Even for patients whose lesion thickness (T) was the same, TCFr was able to predict which patients were more likely to have metastatic disease. Patients with a TCFr of lower than 20% were more at risk of disease progression than patients with a TCFr of higher than 20%. For example, for patients with T3 melanoma (2-4mm thickness), five years after having their primary lesion removed, 51% of those with lower TCFr experienced recurrence, compared to 24% with higher TCFr.

Thomas S. Kupper, MD, a dermatologist and senior author of the study, said, “This is a simple, elegant test. It's quantitative rather than subjective, and it may be able to add value to predictions about disease progression. In the future, such a test could help us tailor treatment; patients with high TCFr may further benefit from checkpoint inhibitor therapy, while low TCFr patients may need additional intervention.”

Related Links:
Brigham and Women's Hospital
Adaptive Biotechnologies