Clinical Value of MLPA for Prognostic Assessment of Chromosomal Rearrangements and DNA Methylation in Uveal Melanoma.

MLPA在葡萄膜黑色素瘤染色体重排和DNA甲基化预后评估中的临床价值

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作者:Soltysova Andrea, Dvorska Dana, Ficek Andrej, Pecimonova Martina, Samec Marek, Kasubova Ivana, Horvathova Kajabova Viera, Demkova Lucia, Babal Pavel, Valaskova Jela, Dankova Zuzana, Smolkova Bozena, Furdova Alena
PURPOSE: Uveal melanoma (UM) is the most prevalent primary intraocular malignancy in adults, with prognosis significantly influenced by genetic and epigenetic factors. Reliable and cost-effective methods to detect chromosomal aberrations and DNA methylation changes are essential for improving prognostication and informing treatment strategies in UM. This study evaluated the effectiveness of multiplex ligation-dependent probe amplification (MLPA) in detecting UM-specific copy number variations (CNVs) and promoter methylation changes across 25 tumor suppressor genes (TSGs). METHODS: DNA from 58 UM tissues was analyzed with the SALSA MLPA Probemix P027 Uveal melanoma kit, and a subset of 18 samples was further assessed using the SALSA MLPA Probemix ME002-C1 Tumour suppressor mix 2 kit to identify key CNVs and methylation alterations linked to poor prognosis. Validation was carried out with a high-resolution comparative genomic hybridization (CGH) array on 10 samples and the Illumina Infinium Methylation EPIC v1.0 BeadChip array on 25 samples. RESULTS: Our findings indicate that MLPA is a versatile and robust method for detecting CNVs, showing strong correlations with CGH data and highlighting specific CNV patterns linked to clinical outcomes in UM. However, the ME002-C1 kit showed limited utility for comprehensive methylation analysis, as differential methylation was not observed in the studied TSG loci. CONCLUSIONS: Although MLPA effectively identifies CNVs relevant to UM prognosis, integrating additional methylation-specific approaches could broaden the scope of DNA methylation analysis, offering a more comprehensive molecular understanding of UM that may enhance prognostication and personalized treatment.

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