Literature DB >> 28377414

Diagnostic Distinction of Malignant Melanoma and Benign Nevi by a Gene Expression Signature and Correlation to Clinical Outcomes.

Jennifer S Ko1, Balwir Matharoo-Ball2, Steven D Billings1, Brian J Thomson2, Jean Y Tang3, Kavita Y Sarin3, Emily Cai3, Jinah Kim3, Colleen Rock4, Hillary Z Kimbrell4, Darl D Flake4, M Bryan Warf4, Jonathan Nelson4, Thaylon Davis4, Catherine Miller4, Kristen Rushton4, Anne-Renee Hartman4, Richard J Wenstrup4, Loren E Clarke5.   

Abstract

Background: Histopathologic examination alone can be inadequate for diagnosis of certain melanocytic neoplasms. Recently, a 23-gene expression signature was clinically validated as an ancillary diagnostic test to differentiate benign nevi from melanoma. The current study assessed the performance of this test in an independent cohort of melanocytic lesions against clinically proven outcomes.
Methods: Archival tissue from primary cutaneous melanomas and melanocytic nevi was obtained from four independent institutions and tested with the gene signature. Cases were selected according to pre-defined clinical outcome measures. Malignant lesions were defined as stage I-III primary cutaneous melanomas that produced distant metastases (metastatic to sites other than proximal sentinel lymph node(s)) following diagnosis of the primary lesion. Melanomas that were metastatic at the time of diagnosis, all re-excisions, and lesions with <10% tumor volume were excluded. Benign lesions were defined as cutaneous melanocytic lesions with no adverse long-term events reported.
Results: Of 239 submitted samples, 182 met inclusion criteria and produced a valid gene expression result. This included 99 primary cutaneous melanomas with proven distant metastases and 83 melanocytic nevi. Median time to melanoma metastasis was 18 months. Median follow-up time for nevi was 74.9 months. The gene expression score differentiated melanoma from nevi with a sensitivity of 93.8% and a specificity of 96.2%.Conclusions: The results of gene expression testing closely correlate with long-term clinical outcomes of patients with melanocytic neoplasms.Impact: Collectively, this provides strong evidence that the gene signature adds valuable adjunctive information to aid in the accurate diagnosis of melanoma. Cancer Epidemiol Biomarkers Prev; 26(7); 1107-13. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 28377414     DOI: 10.1158/1055-9965.EPI-16-0958

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  12 in total

1.  Association of Clinical, Dermoscopic, and Histopathologic Findings With Gene Expression in Patients With Balloon Cell Melanoma.

Authors:  Ben J Friedman; Rebecca Stoner; Joya Sahu; Jason B Lee
Journal:  JAMA Dermatol       Date:  2018-01-01       Impact factor: 10.282

2.  Identification of a Robust Methylation Classifier for Cutaneous Melanoma Diagnosis.

Authors:  Kathleen Conway; Sharon N Edmiston; Joel S Parker; Pei Fen Kuan; Yi-Hsuan Tsai; Pamela A Groben; Daniel C Zedek; Glynis A Scott; Eloise A Parrish; Honglin Hao; Michelle V Pearlstein; Jill S Frank; Craig C Carson; Matthew D Wilkerson; Xiaobei Zhao; Nathaniel A Slater; Stergios J Moschos; David W Ollila; Nancy E Thomas
Journal:  J Invest Dermatol       Date:  2018-12-06       Impact factor: 8.551

3.  PRAME Expression in Melanocytic Tumors.

Authors:  Cecilia Lezcano; Achim A Jungbluth; Kishwer S Nehal; Travis J Hollmann; Klaus J Busam
Journal:  Am J Surg Pathol       Date:  2018-11       Impact factor: 6.394

Review 4.  PRAME Immunohistochemistry as an Ancillary Test for the Assessment of Melanocytic Lesions.

Authors:  Cecilia Lezcano; Achim A Jungbluth; Klaus J Busam
Journal:  Surg Pathol Clin       Date:  2021-04-28

5.  Comparison of Immunohistochemistry for PRAME With Cytogenetic Test Results in the Evaluation of Challenging Melanocytic Tumors.

Authors:  Cecilia Lezcano; Achim A Jungbluth; Klaus J Busam
Journal:  Am J Surg Pathol       Date:  2020-07       Impact factor: 6.298

6.  Cyanidin-3-o-Glucoside Pharmacologically Inhibits Tumorigenesis via Estrogen Receptor β in Melanoma Mice.

Authors:  Mei Liu; Yaqi Du; Haiwen Li; Li Wang; Donata Ponikwicka-Tyszko; Weronika Lebiedzinska; Agata Pilaszewicz-Puza; Huijiao Liu; Lijun Zhou; Hanlu Fan; Mingming Wang; Hua You; Slawomir Wolczynnski; Nafis Rahman; Yang-Dong Guo; Xiangdong Li
Journal:  Front Oncol       Date:  2019-10-22       Impact factor: 6.244

Review 7.  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

8.  Shared Gene Expression and Immune Pathway Changes Associated with Progression from Nevi to Melanoma.

Authors:  Elizabeth S Borden; Anngela C Adams; Kenneth H Buetow; Melissa A Wilson; Julie E Bauman; Clara Curiel-Lewandrowski; H-H Sherry Chow; Bonnie J LaFleur; Karen Taraszka Hastings
Journal:  Cancers (Basel)       Date:  2021-12-21       Impact factor: 6.575

9.  Diagnosis of melanoma by imaging mass spectrometry: Development and validation of a melanoma prediction model.

Authors:  Rami N Al-Rohil; Jessica L Moore; Nathan Heath Patterson; Sarah Nicholson; Nico Verbeeck; Marc Claesen; Jameelah Z Muhammad; Richard M Caprioli; Jeremy L Norris; Sara Kantrow; Margaret Compton; Jason Robbins; Ahmed K Alomari
Journal:  J Cutan Pathol       Date:  2021-07-02       Impact factor: 1.587

10.  Reply to Reimann et al.

Authors:  Loren E Clarke; Sancy A Leachman
Journal:  Mod Pathol       Date:  2019-01-21       Impact factor: 7.842

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