A multi-marker assay to distinguish malignant melanomas from benign nevi

被引:73
作者
Kashani-Sabet, Mohammed [1 ,2 ]
Rangel, Javier [1 ,2 ]
Torabian, Sima [1 ,2 ]
Nosrati, Mehdi [1 ,2 ]
Simko, Jeff [3 ]
Jablons, David M. [4 ]
Moore, Dan H. [5 ]
Haqq, Chris [6 ]
Miller, James R., III [1 ,2 ]
Sagebiel, Richard W. [1 ,2 ]
机构
[1] Univ Calif San Francisco, Ctr Comprehens Canc, Auerback Melanoma Res Lab, San Francisco, CA 94115 USA
[2] Univ Calif San Francisco, Dept Dermatol, San Francisco, CA 94115 USA
[3] Univ Calif San Francisco, Dept Pathol, San Francisco, CA 94115 USA
[4] Univ Calif San Francisco, Dept Surg, San Francisco, CA 94115 USA
[5] Univ Calif San Francisco, Ctr Comprehens Canc, Biostat Core, San Francisco, CA 94115 USA
[6] Univ Calif San Francisco, Dept Urol, San Francisco, CA 94115 USA
关键词
biomarkers; diagnosis; microarray analysis; PIGMENTED SKIN-LESIONS; MELANOCYTIC NEVI; BREAST-CANCER; KAPPA-B; PROMATRIX METALLOPROTEINASE-2; HISTOPATHOLOGIC DIAGNOSIS; TUMOR-GROWTH; EXPRESSION; CELLS; FIBRONECTIN;
D O I
10.1073/pnas.0901185106
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The histopathological diagnosis of melanoma can be challenging. No currently used molecular markers accurately distinguish between nevus and melanoma. Recent transcriptome analyses have shown the differential expression of several genes in melanoma progression. Here, we describe a multi-marker diagnostic assay using 5 markers (ARPC2, FN1, RGS1, SPP1, and WNT2) overexpressed in melanomas. Immunohistochemical marker expression was analyzed in 693 melanocytic neoplasms comprising a training set ( tissue microarray of 534 melanomas and nevi), and 4 independent validation sets: tissue sections of melanoma arising in a nevus; dysplastic nevi; Spitz nevi; and misdiagnosed melanocytic neoplasms. Both intensity and pattern of expression were scored for each marker. Based on the differential expression of these 5 markers between nevi and melanomas in the training set, a diagnostic algorithm was obtained. Using this algorithm, the lesions in the validation sets were diagnosed as nevus or melanoma, and the results were compared with the known histological diagnoses. Both the intensity and pattern of expression of each marker were significantly different in melanomas compared to nevi. The diagnostic algorithm exploiting these differences achieved a specificity of 95% and a sensitivity of 91% in the training set. In the validation sets, the multi-marker assay correctly diagnosed a high percentage of melanomas arising in a nevus, Spitz nevi, dysplastic nevi, and misdiagnosed lesions. The multi-marker assay described here can aid in the diagnosis of melanoma.
引用
收藏
页码:6268 / 6272
页数:5
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