Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois.
Cancer. 2010 Apr 1;116(7):1674-80. doi: 10.1002/cncr.24893.
: Although patients with chronic pancreatitis (CP) have an increased risk of pancreatic cancer (PanCa), the timely detection of PanCa often is difficult, because the symptoms of CP and PanCa are very similar. Moreover, secondary inflammation may be identified in PanCa, further complicating diagnosis. To improve the survival of patients with PanCa, a reliable test to differentiate CP from PanCa is needed. In this article, the authors describe a methylation profile of cell-free plasma DNA that distinguished CP from PanCa with >90% accuracy.
: Methylation in cell-free, plasma DNA was compared among 30 samples from patients with CP, 30 samples from patients with PanCa, and 30 samples from healthy controls (N) using a microarray-mediated methylation analysis of 56 fragments in each sample (MethDet56). Statistical analysis was done by using the Fisher exact test, a naive Bayes algorithm, and 25 rounds of 5-fold cross-validation.
: The MethDet56 methylation analysis technique identified 17 gene promoters as informative (8 for distinguishing N from CP and 14 for distinguishing CP from PanCa). It achieved 81.7% sensitivity and 78% specificity (P<.01) in the detection of CP (N vs CP) and 91.2% sensitivity and 90.8% specificity (P<.01) in the differential detection of PanCa (PanCa vs CP).
: The current data suggested that, among patients with pancreatic disease, the methylation profiles of inflammatory disease and cancer are different and open a new venue for the development of biomarkers for differential diagnosis. Further investigation of diagnostic biomarkers for pancreatic cancer based on methylation in cell-free, circulating DNA appears to be warranted. Cancer 2010. (c) 2010 American Cancer Society.
尽管慢性胰腺炎(CP)患者患胰腺癌(PanCa)的风险增加,但 PanCa 的及时检测往往很困难,因为 CP 和 PanCa 的症状非常相似。此外,在 PanCa 中可能会发现继发性炎症,这进一步使诊断复杂化。为了提高 PanCa 患者的生存率,需要一种可靠的测试方法将 CP 与 PanCa 区分开来。本文作者描述了一种游离血浆 DNA 的甲基化谱,该谱可将 CP 与 PanCa 区分开来,准确率超过 90%。
使用微阵列介导的 56 个样本中每个样本的甲基化分析(MethDet56),比较 30 例 CP 患者、30 例 PanCa 患者和 30 例健康对照者(N)的游离、血浆 DNA 中的甲基化情况。统计分析采用 Fisher 确切检验、朴素贝叶斯算法和 25 轮 5 倍交叉验证。
MethDet56 甲基化分析技术确定了 17 个基因启动子具有信息性(8 个用于区分 N 与 CP,14 个用于区分 CP 与 PanCa)。它在 CP(N 与 CP)的检测中实现了 81.7%的灵敏度和 78%的特异性(P<.01),在 PanCa(PanCa 与 CP)的差异检测中实现了 91.2%的灵敏度和 90.8%的特异性(P<.01)。
目前的数据表明,在患有胰腺疾病的患者中,炎症性疾病和癌症的甲基化谱是不同的,为开发用于鉴别诊断的生物标志物开辟了新途径。进一步研究基于游离循环 DNA 甲基化的胰腺癌诊断生物标志物似乎是合理的。癌症 2010。(c)2010 年美国癌症协会。