کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
3166564 1199118 2016 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Image-based DNA ploidy analysis aids prediction of malignant transformation in oral lichen planus
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی دندانپزشکی، جراحی دهان و پزشکی
پیش نمایش صفحه اول مقاله
Image-based DNA ploidy analysis aids prediction of malignant transformation in oral lichen planus
چکیده انگلیسی

ObjectivesTo investigate the potential of image-based DNA ploidy analysis to predict malignant transformation in patients with oral lichen planus (OLP).Study DesignDNA ploidy analysis was performed on biopsy samples from 14 patients with OLP who underwent malignant transformation. As controls, 42 OLP lesions showing unusual clinical features suggesting a transformation risk and 68 samples of clinically and histologically typical OLP were included. Cases with dysplasia on initial biopsy were excluded. Eighty fibroepithelial polyps acted as methodologic controls. Epithelial nuclei were isolated from formalin-fixed paraffin embedded biopsy samples and monolayers stained with Feulgen for automated image cytometry to establish DNA content. Ploidy status was correlated to outcome using Kaplan-Meier analysis and log-rank Mantel-Cox tests.ResultsAll controls and typical OLP were diploid and none underwent malignant transformation in mean follow-up of 14 years (10-18 years). One unusual OLP developed carcinoma and all were diploid. The 14 patients with transformation developed 21 carcinomas. In the 11 patients who had a prior biopsy, 4 were aneuploid.ConclusionsDNA ploidy analysis predicted malignant transformation in more than one third (36.4%) of patients with OLP with a preceding biopsy (n = 11). This premalignant nature could not have been diagnosed clinically or by histologic dysplasia assessment.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology - Volume 121, Issue 6, June 2016, Pages 643–650
نویسندگان
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