Molecular classification of melanoma using real-time quantitative reverse transcriptase-polymerase chain reaction

被引:44
|
作者
Lewis, TB
Robison, JE
Bastien, R
Milash, B
Boucher, K
Samlowski, WE
Leachman, SA
Noyes, RD
Wittwer, CT
Perreard, L
Bernard, PS
机构
[1] Huntsman Canc Inst, Melanoma Program, Salt Lake City, UT 84112 USA
[2] ARUP Labs Inc, Res & Dev, Salt Lake City, UT USA
[3] Univ Utah, Dept Pathol, Sch Med, Salt Lake City, UT 84112 USA
[4] Univ Utah, Div Oncol, Sch Med, Salt Lake City, UT 84112 USA
[5] Univ Utah, Dept Dermatol, Sch Med, Salt Lake City, UT 84112 USA
[6] Huntsman Canc Inst, Dept Oncol Sci, Salt Lake City, UT 84112 USA
[7] LDS Hosp, Dept Surg, Salt Lake City, UT USA
关键词
melanoma; mRNA expression profiling; molecular staging; micrometastasis;
D O I
10.1002/cncr.21372
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BACKGROUND. The early detection and characterization of metastatic melanoma are important for prognosis and management of the disease. Molecular methods are more sensitive in detecting occult lymph node metastases compared with standard histopathology and are reported to have utility in clinical diagnostics. METHODS. Using real-time quantitative reverse transcriptase-polymerase chain reaction ([q]RT-PCR), the authors examined 36 samples (30 melanomas, 4 benign nevi, and 2 reactive lymph nodes) for the expression of 20 melanoma-related genes that function in cell growth and differentiation (epidermal growth factor receptor [EGFR], WNT5A, BRAF, FOS, JUN, A/L4TP, and TMP1), cell proliferation (KI-67, TOP2A, BUB1, BIRC5, and STK6), melanoma progression (CD63, MAGEA3, and GALG7), and melanin synthesis (TYR, MLANA, SILV, PAX3, and MITF). In addition, samples were tested for mutations in BRAF (exons 11 and 15) and NRAS (exons 2 and 3). RESULTS. Hierarchical clustering analysis of the expression data was able to distinguish between the melanoma and nonmelanorna samples and further strat- ified the melanoma samples into two groups differentiated by high expression of the genes involved in beta-catenin activation (EGFR and WNT5A) and the MAPK/ERK pathway (BRAF, FOS, and JUN). Eighteen of the 28 patients (64%) were found to of have mutations in either exon 15 of BRAF (V599 substitution) or codon 61 of NRAS. The mutations were mutually exclusive and did not appear to be associated with the different expression subtypes. CONCLUSIONS. The results of the current study demonstrate that real-time qRT- PCR can be analyzed using hierarchical Clustering to identify expression patterns that differentiate between melanomas and other tissue types. Using a supervised analysis of the data, the authors found that the best discriminators for molecularly distinguishing between melanoma, benign nevi, and lymph nodes were MLANA, CD63, and BUB1. These markers could have diagnostic utility for the detection of melanoma micrometastasis in sentinel lymph nodes.
引用
收藏
页码:1678 / 1686
页数:9
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