Literature DB >> 27174586

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

Eugen C Minca1,2, Rami N Al-Rohil3, Min Wang4, Paul W Harms4, Jennifer S Ko1,2, Angela M Collie1,2, Ivanka Kovalyshyn1,2, Victor G Prieto3,5, Michael T Tetzlaff3,6, Steven D Billings1,2, Aleodor A Andea4.   

Abstract

Melanoma accounts for most skin cancer-related deaths and has an increasing incidence. Accurate diagnosis and distinction from atypical nevi can be at times difficult using light microscopy alone. Fluorescence in situ hybridization (FISH) and melanoma gene expression score (myPath, Myriad Genetics) have emerged as ancillary tools to further aid in this differential diagnosis. Our aim in this study was to correlate FISH results, gene expression score, consensus histopathologic impression and clinical outcome on a series of 117 challenging melanocytic lesions collected from three separate institutions. The lesions were separated into two groups: 39 histopathologically unequivocal lesions (15 malignant, 24 benign) and 78 challenging lesions interpreted by expert consensus (27 favor malignant, 30 favor benign, and 21 ambiguous). Melanoma-FISH was performed using probes for 6p25, 11q13, 8q24, and 9p21/CEP9 and scored according to established criteria. Analysis by myPath gene expression score was performed and interpreted by the manufacturer as 'benign', 'indeterminate,' or 'malignant'. In the unequivocal group, melanoma-FISH and myPath score showed 97 and 83% agreement with the histopathologic diagnosis, respectively, with 93 and 62% sensitivity, 100 and 95% specificity, and 80% inter-test agreement. In the challenging group, FISH and the myPath score showed 70 and 64% agreement with the histopathologic interpretation, respectively, with 70% inter-test agreement and similar sensitivities and specificities. The inter-test agreement was 73% overall, excluding indeterminate results. Discordant test results occurred in 27/117 cases from both unequivocal and challenging groups. Melanoma-FISH and gene expression score are valuable ancillary tools, though both have limitations and return discordant results in a subset of cases. Follow-up studies with more extensive clinical outcome data are warranted to establish the accuracy of these tests for the classification of melanocytic lesions.

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Year:  2016        PMID: 27174586     DOI: 10.1038/modpathol.2016.84

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


  25 in total

1.  Intermediate, indeterminate, and uninterpretable diagnostic test results.

Authors:  D L Simel; J R Feussner; E R DeLong; D B Matchar
Journal:  Med Decis Making       Date:  1987 Apr-Jun       Impact factor: 2.583

Review 2.  Fluorescence in situ hybridization for ambiguous melanocytic tumors.

Authors:  B Gammon; P Gerami
Journal:  Histol Histopathol       Date:  2012-12       Impact factor: 2.303

3.  Fluorescence in situ hybridization as an ancillary tool in the diagnosis of ambiguous melanocytic neoplasms: a review of 804 cases.

Authors:  Jeffrey P North; Maria C Garrido; Nicholas A Kolaitis; Philip E LeBoit; Timothy H McCalmont; Boris C Bastian
Journal:  Am J Surg Pathol       Date:  2014-06       Impact factor: 6.394

4.  Sensitivity of fluorescence in situ hybridization for melanoma diagnosis using RREB1, MYB, Cep6, and 11q13 probes in melanoma subtypes.

Authors:  Pedram Gerami; Mariam Mafee; Teekay Lurtsbarapa; Joan Guitart; Zahra Haghighat; Marissa Newman
Journal:  Arch Dermatol       Date:  2010-03

5.  Fluorescence in situ hybridization for distinguishing cellular blue nevi from blue nevus-like melanoma.

Authors:  Bryan Gammon; Beth Beilfuss; Joan Guitart; Klaus J Busam; Pedram Gerami
Journal:  J Cutan Pathol       Date:  2011-01-19       Impact factor: 1.587

6.  Fluorescence in situ hybridization, a diagnostic aid in ambiguous melanocytic tumors: European study of 113 cases.

Authors:  Beatrice Vergier; Martina Prochazkova-Carlotti; Arnaud de la Fouchardière; Lorenzo Cerroni; Daniela Massi; Vincenzo De Giorgi; Christiane Bailly; Ulrich Wesselmann; Apollon Karlseladze; Marie-Francoise Avril; Thomas Jouary; Jean-Philippe Merlio
Journal:  Mod Pathol       Date:  2010-12-10       Impact factor: 7.842

7.  Interobserver variability on the histopathologic diagnosis of cutaneous melanoma and other pigmented skin lesions.

Authors:  R Corona; A Mele; M Amini; G De Rosa; G Coppola; P Piccardi; M Fucci; P Pasquini; T Faraggiana
Journal:  J Clin Oncol       Date:  1996-04       Impact factor: 44.544

8.  Ambiguous melanocytic tumors in a tertiary referral center: the contribution of fluorescence in situ hybridization (FISH) to conventional histopathologic and immunophenotypic analyses.

Authors:  Michael T Tetzlaff; Wei-Lien Wang; Tiffani L Milless; Jonathan L Curry; Carlos A Torres-Cabala; Michael S McLemore; Doina Ivan; Roland L Bassett; Victor G Prieto
Journal:  Am J Surg Pathol       Date:  2013-12       Impact factor: 6.394

9.  Distinction of conjunctival melanocytic nevi from melanomas by fluorescence in situ hybridization.

Authors:  Klaus J Busam; Yuqiang Fang; Suresh C Jhanwar; Melissa P Pulitzer; Brian Marr; David H Abramson
Journal:  J Cutan Pathol       Date:  2010-02       Impact factor: 1.587

10.  FISH as an effective diagnostic tool for the management of challenging melanocytic lesions.

Authors:  Mathew W Moore; Robert Gasparini
Journal:  Diagn Pathol       Date:  2011-08-11       Impact factor: 2.644

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  7 in total

1.  lncRNA AGAP2-AS1 Facilitates Tumorigenesis and Ferroptosis Resistance through SLC7A11 by IGF2BP2 Pathway in Melanoma.

Authors:  Lifeng An; Jingwen Huang; Shihui Ge; Xin Zhang; Jing Wang
Journal:  Comput Math Methods Med       Date:  2022-06-06       Impact factor: 2.809

Review 2.  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 3.  Addressing the challenges of applying precision oncology.

Authors:  Seung Ho Shin; Ann M Bode; Zigang Dong
Journal:  NPJ Precis Oncol       Date:  2017-09-04

Review 4.  Molecular Biomarkers for Melanoma Screening, Diagnosis and Prognosis: Current State and Future Prospects.

Authors:  Dekker C Deacon; Eric A Smith; Robert L Judson-Torres
Journal:  Front Med (Lausanne)       Date:  2021-04-16

5.  Amelanotic metastatic gastric malignant melanoma: a case report.

Authors:  Min Zhu; Da-Ya Zhang; Guan-Jun Zhang; Zhan-Bo Wang; Ming-Yang Lid
Journal:  Anticancer Drugs       Date:  2022-01-01       Impact factor: 2.248

Review 6.  Dermatologic Disease-Directed Targeted Therapy (D3T2): The Application of Biomarker-Based Precision Medicine for the Personalized Treatment of Skin Conditions-Precision Dermatology.

Authors:  Philip R Cohen; Razelle Kurzrock
Journal:  Dermatol Ther (Heidelb)       Date:  2022-09-19

7.  MicroRNA Ratios Distinguish Melanomas from Nevi.

Authors:  Rodrigo Torres; Ursula E Lang; Miroslav Hejna; Samuel J Shelton; Nancy M Joseph; A Hunter Shain; Iwei Yeh; Maria L Wei; Michael C Oldham; Boris C Bastian; Robert L Judson-Torres
Journal:  J Invest Dermatol       Date:  2019-09-30       Impact factor: 8.551

  7 in total

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