A clinical and genetic overview of 18 years neurofibromatosis type 1 molecular diagnostics in the Netherlands.

NF1 mutations are the underlying cause of neurofibromatosis type 1 (NF1), a neuro-cardio-facio-cutaneous syndrome (NCFC). Because of the clinical overlap between NCFCs, genetic analysis of NF1 is necessary to confirm a clinical diagnosis NF1. This report describes the clinical and genetic findings of 18 years of NF1 molecular diagnostics in the Netherlands. A pathogenic mutation was found in 59.3% (1178/1985) of the index patients, mostly de novo (73.8%). The majority of the index patients (64.3%) fulfilled the National Institute of Health NF1 criteria, a pathogenic mutation was found in 80.9% of these patients. Seventy-four percent of the index patients with an NF1 pathogenic mutation and not fulfilling the NF1 criteria is <12 years, in agreement with the fact that some NF1 symptoms appear after puberty. Genotype-phenotype correlations were studied for 527 index patients. NF1 patients with a type 1 microdeletion have a sixfold higher risk of special education vs NF1 patients with an intragenic mutation. No evidently milder NF1 phenotype for patients with a missense mutation was observed. Forty-six prenatal analyses were performed in 28 (2.4%) families, of which 29 (63%) showed heterozygosity for the familial pathogenic mutation. This indicates that there is a need for prenatal NF1 testing.

Quantitation of borderline and malignant mucinous ovarian tumours.

Discrimination between borderline and malignant mucinous ovarian tumours is a well-known diagnostic problem. In order to obtain objective reproducible and consistent features for differential diagnosis, 32 quantitative microscopical features were assessed in 10 benign, 10 borderline and 22 malignant mucinous ovarian tumours. There were many significant differences between the three groups, but using multivariate analysis there was 93% agreement between the histopathological assessment of these sections and the qualitative analyses. The following features were useful in the quantitative classification: the mean area, the mean perimeter and the mean of short axis of the nucleus; the volume percentage of the epithelium; the mitotic activity. In three cases, there was a difference between the original histopathological and computer classification. It was debatable whether the original diagnosis was correct, and therefore, all the cases were independently reassessed blind by three pathologists. Their diagnoses lend strong support to the computer classification in two of the three cases. The computer classification seems therefore to be even better than 93%. The present quantitative techniques are inexpensive, relatively easy to use, and, we believe, have a useful place in diagnostic histopathology.