黑色素瘤淋巴结转移的准确分子检测:多标记分析特异性、敏感性和检出率的评估。

V Davids, S H Kidson, G S Hanekom
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引用次数: 31

摘要

背景:在原发性黑色素瘤患者中应用淋巴闪烁成像和前哨淋巴结(SN)活检,已经彻底改变了准确而保守地识别隐匿淋巴结转移患者的能力。SN微转移的分子检测有助于使用多种标记物对整个SN进行经济有效的分析。目前,缺乏标志物特异性是阻碍SN组织分子评价进入临床应用的主要障碍。目的:建立一种可重复的多标记逆转录聚合酶链反应(RT-PCR)检测方法,重点是实现高特异性,准确检测黑色素瘤淋巴结组织转移。方法:选择三种色素细胞特异性(PCS)标记物酪氨酸酶、Pmel-17和mart -1和一种睾丸癌抗原(CTA)- mage -3进行多标记RT-PCR检测。对实验条件进行了优化。结果:通过优化PCR周期数,每个标记都可以实现高特异性,这样在适当的对照(正常内脏淋巴结)中仍然检测不到不需要的转录本(即非法转录本和/或来自其他低丰度淋巴结细胞类型的特定转录本)。酪氨酸酶在40个PCR循环中特异性100%,MAGE-3和MART-1在35个PCR循环中特异性100%,Pmel-17在30个PCR循环中特异性100%。酪氨酸酶被证明是最敏感的标志物,在0.1 g淋巴结组织中检测到10个黑色素瘤细胞。结论:整个淋巴结处理和RT-PCR方案在淋巴结组织中检测极低数量的黑色素瘤细胞具有良好的再现性,尽管单独使用PCS标记存在假阳性的风险,因为黑色素瘤引流SNs的淋巴结痣发生率约为4-8.5%(这些痣在所有其他正常淋巴结中都不存在)。MAGE-3是唯一不被黑素细胞表达的标记物。然而,由于并非所有黑色素瘤都表达MAGE-3,因此建议更重视开发一组CTA标记物,以确保零假阳性率并提供最佳检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accurate molecular detection of melanoma nodal metastases: an assessment of multimarker assay specificity, sensitivity, and detection rate.

Background: The application of lymphoscintigraphy followed by sentinel lymph node (SN) biopsy to patients with primary melanoma has revolutionised the ability to identify accurately, yet conservatively, those patients who harbour occult nodal metastases. The molecular detection of SN micrometastases facilitates the cost effective analysis of the entire SN using multiple markers. Currently, a lack of marker specificity is the main barrier preventing the molecular evaluation of SN tissue from becoming clinically applicable.

Aims: To develop a reproducible multimarker reverse transcription-polymerase chain reaction (RT-PCR) assay, with the emphasis on achieving high specificity for the accurate detection of melanoma metastases in nodal tissue.

Methods: Three pigment cell specific (PCS) markers-tyrosinase, Pmel-17, and MART-1-and one cancer testis antigen (CTA)-MAGE-3-were selected for use in a multimarker RT-PCR assay. The conditions for this assay were optimised.

Results: High specificity was achievable for each marker by optimising the PCR cycle number such that unwanted transcripts (that is, illegitimate transcripts and/or specific transcripts from other low abundance nodal cell types) remained undetectable in appropriate controls (normal visceral nodes). Tyrosinase was 100% specific at 40 PCR cycles, MAGE-3 and MART-1 at 35 PCR cycles, and Pmel-17 at 30 PCR cycles. Tyrosinase proved to be the most sensitive marker, detecting 10 melanoma cells in 0.1 g of nodal tissue.

Conclusions: Excellent reproducibility of the entire nodal processing and RT-PCR protocol for the detection of very low numbers of melanoma cells in nodal tissue was shown, although there is a risk of false positives using the PCS markers alone, because of an approximate 4-8.5% incidence rate of nodal nevi in melanoma draining SNs (these nevi being absent in all other normal nodes). MAGE-3 was shown to be the only marker that is not expressed by melanocytes. However, because not all melanomas express MAGE-3, it is recommended that more emphasis should be placed on the development of a panel of CTA markers to ensure a zero false positive rate and to provide optimum detection.

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