Literature DB >> 20357814

Melanoma-specific marker expression in skin biopsy tissues as a tool to facilitate melanoma diagnosis.

Doru T Alexandrescu1, C Lisa Kauffman, Timothy A Jatkoe, Dan P Hartmann, Tatiana Vener, Haiying Wang, Carlo Derecho, Yashoda Rajpurohit, Yixin Wang, John F Palma.   

Abstract

Diagnosis of cutaneous melanoma requires accurate differentiation of true malignant tumors from highly atypical lesions, which lack the capacity to develop uncontrolled proliferation and to metastasize. We used melanoma markers from previous work to differentiate benign and atypical lesions from melanoma using paraffin-embedded tissue. This critical step in diagnosis generates the most uncertainty and discrepancy between dermatopathologists. A total of 193 biopsy tissues were selected: 47 melanomas, 48 benign nevi, and 98 atypical/suspicious, including 48 atypical nevi and 50 melanomas as later assigned by expert dermatopathologists. Performance for SILV, GDF15, and L1CAM normalized to TYR in unequivocal melanoma versus benign nevi resulted in an area under the curve (AUC) of 0.94, 0.67, and 0.5, respectively. SILV also differentiated atypical cases classified as melanoma from atypical nevi with an AUC=0.74. Furthermore, SILV showed a significant difference between suspicious melanoma and each suspicious atypia group: melanoma versus severe atypia and melanoma versus moderate atypia had P-values of 0.0077 and 0.0009, respectively. SILV showed clear discrimination between melanoma and benign unequivocal cases as well as between different atypia subgroups in the group of suspicious samples. The role and potential utility of this molecular assay as an adjunct to the morphological diagnosis of melanoma are discussed.

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Year:  2010        PMID: 20357814     DOI: 10.1038/jid.2010.61

Source DB:  PubMed          Journal:  J Invest Dermatol        ISSN: 0022-202X            Impact factor:   8.551


  5 in total

1.  A quantitative proteomic analysis of FFPE melanoma.

Authors:  Stephanie Byrum; Nathan L Avaritt; Samuel G Mackintosh; Josie M Munkberg; Brian D Badgwell; Wang L Cheung; Alan J Tackett
Journal:  J Cutan Pathol       Date:  2011-08-23       Impact factor: 1.587

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

Review 3.  Prognostic significance of L1 cell adhesion molecule in cancer patients: A systematic review and meta-analysis.

Authors:  Teng Hua; Shuangge Liu; Xiaoyan Xin; Zhishan Jin; Qibin Liu; Shuqi Chi; Xiaoxiao Wang; Hongbo Wang
Journal:  Oncotarget       Date:  2016-12-20

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.  High LIFr expression stimulates melanoma cell migration and is associated with unfavorable prognosis in melanoma.

Authors:  Hongwei Guo; Yabin Cheng; Magdalena Martinka; Kevin McElwee
Journal:  Oncotarget       Date:  2015-09-22
  5 in total

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