Literature DB >> 20081813

Classifying ambiguous melanocytic lesions with FISH and correlation with clinical long-term follow up.

Timo Gaiser1, Heinz Kutzner, Gabriele Palmedo, Markus D Siegelin, Thomas Wiesner, Thomas Bruckner, Wolfgang Hartschuh, Alexander H Enk, Maria R Becker.   

Abstract

Recently, initial studies describing the use of multicolor fluorescence in situ hybridization (FISH) for classifying melanocytic skin lesions have been published demonstrating a high sensitivity and specificity in discriminating melanomas from nevi. However, the majority of these studies included neither histologically ambiguous lesions nor a clinical long-term follow up. This study was undertaken to validate a special multicolor FISH test in histologically ambiguous melanocytic skin lesions with known clinical long-term follow up. FISH was scored by three independent pathologists in a series of 22 melanocytic skin lesions, including 12 ambiguous cases using four probes targeting chromosome 6p25, centromere 6, 6q23, and 11q13. The FISH results were compared with array comparative genomic hybridization data and correlated to the clinical long-term follow up (mean: 65 months). Pair-wise comparison between the interpretations of the observers showed a moderate to substantial agreement (kappa 0.47-0.61). Comparing the FISH results with the clinical behavior reached an overall sensitivity of 60% and a specificity of 50% (chi(2)=0.25; P=0.61) for later development of metastases. Comparison of array comparative genomic hybridization data with FISH analyses did not yield significant results but array comparative genomic hybridization data demonstrated that melanocytic skin lesions with the development of metastases showed significantly more chromosomal aberrations (P<0.01) compared with melanocytic skin lesions without the development of metastases. The FISH technique with its present composition of locus-specific probes for RREB1/MYB and CCND1 did not achieve a clinically useful sensitivity and specificity. However, a reassessment of the probes and better standardization of the method may lead to a valuable diagnostic tool.

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Year:  2010        PMID: 20081813     DOI: 10.1038/modpathol.2009.177

Source DB:  PubMed          Journal:  Mod Pathol        ISSN: 0893-3952            Impact factor:   7.842


  21 in total

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Authors:  Jeong Hee Cho-Vega
Journal:  Mod Pathol       Date:  2016-04-22       Impact factor: 7.842

2.  RREB1 transcription factor splice variants in urologic cancer.

Authors:  Matthew D Nitz; Michael A Harding; Steven C Smith; Shibu Thomas; Dan Theodorescu
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3.  Chromothripsis and focal copy number alterations determine poor outcome in malignant melanoma.

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Journal:  Cancer Res       Date:  2012-12-27       Impact factor: 12.701

4.  Imaging mass spectrometry--a new and promising method to differentiate Spitz nevi from Spitzoid malignant melanomas.

Authors:  Rossitza Lazova; Erin H Seeley; Megan Keenan; Ralitza Gueorguieva; Richard M Caprioli
Journal:  Am J Dermatopathol       Date:  2012-02       Impact factor: 1.533

5.  Morphological and molecular characteristics of nested melanoma of the elderly (evolved lentiginous melanoma).

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Journal:  Virchows Arch       Date:  2012-08-15       Impact factor: 4.064

6.  Comparison between melanoma gene expression score and fluorescence in situ hybridization for the classification of melanocytic lesions.

Authors:  Eugen C Minca; Rami N Al-Rohil; Min Wang; Paul W Harms; Jennifer S Ko; Angela M Collie; Ivanka Kovalyshyn; Victor G Prieto; Michael T Tetzlaff; Steven D Billings; Aleodor A Andea
Journal:  Mod Pathol       Date:  2016-05-13       Impact factor: 7.842

7.  Global microRNA profiling for diagnostic appraisal of melanocytic Spitz tumors.

Authors:  Nicholas Latchana; Kelly Regan; J Harrison Howard; Jennifer H Aldrink; Mark A Ranalli; Sara B Peters; Xiaoli Zhang; Alejandro Gru; Philip R O Payne; Lorena P Suarez-Kelly; William E Carson
Journal:  J Surg Res       Date:  2016-07-04       Impact factor: 2.192

Review 8.  Review of diagnostic, prognostic, and predictive biomarkers in melanoma.

Authors:  Jacob S Ankeny; Brian Labadie; Jason Luke; Eddy Hsueh; Jane Messina; Jonathan S Zager
Journal:  Clin Exp Metastasis       Date:  2018-05-02       Impact factor: 5.150

Review 9.  Through the looking glass and what you find there: making sense of comparative genomic hybridization and fluorescence in situ hybridization for melanoma diagnosis.

Authors:  Jayson Miedema; Aleodor A Andea
Journal:  Mod Pathol       Date:  2020-02-17       Impact factor: 7.842

Review 10.  Diagnostic and prognostic biomarkers in melanoma.

Authors:  David Weinstein; Jennifer Leininger; Carl Hamby; Bijan Safai
Journal:  J Clin Aesthet Dermatol       Date:  2014-06
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