Non-invasive prenatal testing leading to a maternal diagnosis of Charcot-Marie-Tooth neuropathy.

Non-invasive prenatal testing (NIPT) is increasingly used in routine practice due to its high sensitivity and specificity in detecting fetal chromosomal anomalies. Several reports have highlighted that NIPT can diagnose previously unsuspected malignancy or benign copy number variation in the expectant mother. We report a case in which NIPT detected a duplication involving the 17p11.2-17p12 region with possible Potocki-Lupski syndrome in the fetus. However, on further questioning, the mother revealed that she had Charcot-Marie-Tooth neuropathy type IA (CMT1A) and thus using array CGH, we were able to confirm that the 17p duplication was maternal in origin, included only the typical CMT1A region and that the fetus had a normal chromosome complement. Although it may be rare for a mother to have a pathogenic chromosome duplication/deletion, with the expansion in scope of NIPT from classic trisomies to global chromosome coverage and monogenic conditions, more examples of fortuitous maternal diagnosis will certainly be forthcoming and this should be taken into account during pre-test genetic counseling.

Network-guided analysis of genes with altered somatic copy number and gene expression reveals pathways commonly perturbed in metastatic melanoma.

Cancer genomes frequently contain somatic copy number alterations (SCNA) that can significantly perturb the expression level of affected genes and thus disrupt pathways controlling normal growth. In melanoma, many studies have focussed on the copy number and gene expression levels of the BRAF, PTEN and MITF genes, but little has been done to identify new genes using these parameters at the genome-wide scale. Using karyotyping, SNP and CGH arrays, and RNA-seq, we have identified SCNA affecting gene expression ('SCNA-genes') in seven human metastatic melanoma cell lines. We showed that the combination of these techniques is useful to identify candidate genes potentially involved in tumorigenesis. Since few of these alterations were recurrent across our samples, we used a protein network-guided approach to determine whether any pathways were enriched in SCNA-genes in one or more samples. From this unbiased genome-wide analysis, we identified 28 significantly enriched pathway modules. Comparison with two large, independent melanoma SCNA datasets showed less than 10% overlap at the individual gene level, but network-guided analysis revealed 66% shared pathways, including all but three of the pathways identified in our data. Frequently altered pathways included WNT, cadherin signalling, angiogenesis and melanogenesis. Additionally, our results emphasize the potential of the EPHA3 and FRS2 gene products, involved in angiogenesis and migration, as possible therapeutic targets in melanoma. Our study demonstrates the utility of network-guided approaches, for both large and small datasets, to identify pathways recurrently perturbed in cancer.