Fackler Mary Jo, Malone Kara, Zhang Zhe, Schilling Eric, Garrett-Mayer Elizabeth, Swift-Scanlan Theresa, Lange Julie, Nayar Ritu, Davidson Nancy E, Khan Seema A, Sukumar Saraswati
Department of Oncology, Johns Hopkins University School of Medicine, Baltimore Maryland, USA.
Clin Cancer Res. 2006 Jun 1;12(11 Pt 1):3306-10. doi: 10.1158/1078-0432.CCR-05-2733.
The challenges of cytology for accurate diagnosis of breast cancer are well recognized. We previously showed that normal and tumor tissue can be distinguished using a technique called quantitative multiplex methylation-specific PCR (QM-MSP). We hypothesized that quantitative analysis of methylated genes will provide enhanced detection of cancer cells present in cytologic specimens.
QM-MSP was done on ductal lavage cells from a set of 37 ductal lavage samples from women undergoing mastectomy (27 with cancer and 3 without). Duct histology information was available for each lavaged duct. QM-MSP data was assessed by measuring cumulative methylation index and by receiver operating characteristic threshold analysis. To determine the baseline level of methylation for each gene in this population, cells from 60 ducts of women at high risk of developing breast cancer were analyzed.
QM-MSP findings on a panel of nine genes were correlated to duct histology and ductal lavage cytology. Cytology detected cancer in 33% (7 of 21 ducts) with a specificity of 99% (92 of 93). QM-MSP detected cancer as calculated by cumulative methylation index with a sensitivity of 62% (13 of 21) and specificity of 82% (62 of 76) and by receiver operating characteristic threshold analysis with a sensitivity of 71% (15 of 21) and specificity of 83% (63 of 76).
Compared with cytology, QM-MSP doubled the sensitivity of detection of cancer. This study provides proof of principle by showing the advantages of using methylation analyses to query cytologic specimens and indicates its potential use in diagnosis and in stratifying risk.
细胞学在乳腺癌准确诊断方面面临的挑战已得到广泛认可。我们之前表明,使用一种称为定量多重甲基化特异性PCR(QM-MSP)的技术可以区分正常组织和肿瘤组织。我们推测,对甲基化基因进行定量分析将提高对细胞学标本中癌细胞的检测能力。
对一组37例接受乳房切除术的女性的导管灌洗样本(27例患有癌症,3例未患癌症)中的导管灌洗细胞进行QM-MSP检测。每个灌洗导管都有导管组织学信息。通过测量累积甲基化指数和接受者操作特征阈值分析来评估QM-MSP数据。为了确定该人群中每个基因的甲基化基线水平,分析了60例乳腺癌高危女性的导管细胞。
对一组9个基因的QM-MSP检测结果与导管组织学和导管灌洗细胞学相关。细胞学检测到癌症的比例为33%(21个导管中的7个),特异性为99%(93个中的92个)。通过累积甲基化指数计算,QM-MSP检测癌症的灵敏度为62%(21个中的13个),特异性为82%(76个中的62个);通过接受者操作特征阈值分析,灵敏度为71%(21个中的15个),特异性为83%(76个中的63个)。
与细胞学相比,QM-MSP使癌症检测的灵敏度提高了一倍。本研究通过展示使用甲基化分析来检测细胞学标本的优势,提供了原理证明,并表明其在诊断和风险分层中的潜在用途。