Ancestry and somatic profile predict acral melanoma origin and prognosis
Basurto-Lozada, P.; Vazquez-Cruz, M. E.; Molina-Aguilar, C.; Jiang, A.; Deacon, D. C.; Cerrato-Izaguirre, D.; Simonin-Wilmer, I.; Arriaga-Gonzalez, F. G.; Contreras-Ramirez, K. L.; Dawson, E. T.; Wong-Ramirez, J. R. C.; Ramos-Galguera, J. I.; Alvarez-Cano, A.; Garcia-Ortega, D. Y.; Garcia-Salinas, O. I.; Hidalgo-Miranda, A.; Cisneros-Villanueva, M.; Martinez-Said, H.; Arends, M. J.; Ferreira, I.; Tullett, M.; Olvera-Leon, R.; van der Weyden, L.; Del Castillo Velasco-Herrera, M.; Roldan-Marin, R.; Vidaurri de la Cruz, H.; Tavares-de-la-Paz, L. A.; Hinojosa-Ugarte, D.; Belote, R. L.; Bishop, D.
Show abstract
Acral melanoma, which is not ultraviolet (UV)-associated, is the most common type of melanoma in several low- and middle-income countries including Mexico. Latin American samples are significantly underrepresented in global cancer genomics studies, which directly affects patients in these regions as it is known that cancer risk and incidence may be influenced by ancestry and environmental exposures. To address this, we characterise the genome and transcriptome of 123 acral melanoma tumours from 92 Mexican patients, a population notable because of its genetic admixture. Compared with other studies of melanoma, we found fewer frequent mutations in classical driver genes such as BRAF, NRAS or NF1. While most patients had predominantly Amerindian genetic ancestry, those with higher European ancestry had increased frequency of BRAF mutations and a lower median number of structural variants. The tumours with activating BRAF mutations have a transcriptional profile more similar to cutaneous non-volar melanocytes, suggesting that acral melanomas in these patients may arise from a distinct cell of origin compared to other tumours arising in these locations. KIT mutations were found in a subset of these tumours, and quadruple wild-type samples (non BRAF/NRAS/NF1/KIT) differed from mutated samples in their structural genomic profile and overall and recurrence-free survival patterns. Transcriptional profiling defined three expression clusters; these characteristics were associated with recurrence-free and overall survival. We highlight potential novel low-frequency drivers, such as PTPRJ, NF2 and RDH5. Our study enhances knowledge of this understudied disease and underscores the importance of including samples from diverse ancestries in cancer genomics studies.
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