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Fluorescence in situ hybridization test for detection of endometrial carcinoma cells by non-invasive vaginal swab.
- Source :
-
Journal of cellular and molecular medicine [J Cell Mol Med] 2023 Feb; Vol. 27 (3), pp. 379-391. Date of Electronic Publication: 2023 Jan 10. - Publication Year :
- 2023
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Abstract
- Endometrial cancer (EC) is the most common gynaecological malignancy with increasing incidence in developed countries. As gold standard, hysteroscopy confirms only 30% of suspected ECs. The detection of EC cells in the vagina by fluorescence in situ hybridization (FISH) after a smear test could reduce invasive procedures in the future. Using array-based comparative genome hybridization (aCGH) on 65 endometrial carcinomas, most frequently imbalanced regions of the tumour genome were identified. Bacterial artificial chromosomes were used to generate FISH-probes homologue to these human regions. The FISH test was hybridized on swabs specimens collected from the vaginal cavity. Samples from six patients without EC were selected as a negative control and on 13 patients with known EC as a positive control. To distinguish between benign and EC cases, the cut-off value has been defined. A first validation of this EC-FISH Test was performed with swabs from 41 patients with suspected EC. The most common genomic imbalances in EC are around the CTNNB1, FBXW7 and APC genes. The cut-off is defined at 32% of analysed cells without diploid signal pattern. This differs significantly between the positive and negative controls (p < 0.001). In a first validation cohort of 41 patients with suspected EC, the EC-FISH Test distinguishes patients with and without EC with a sensitivity of 91% and a specificity of 83%. The negative predictive value is 96%. This is the first report of a non-invasive EC-FISH Test to predict EC in women with suspected EC.<br /> (© 2023 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd.)
Details
- Language :
- English
- ISSN :
- 1582-4934
- Volume :
- 27
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Journal of cellular and molecular medicine
- Publication Type :
- Academic Journal
- Accession number :
- 36625073
- Full Text :
- https://doi.org/10.1111/jcmm.17658