Moshayoff Vardit, Faktor Ouriel, Laghi Luigi, Celesti Giuseppe, Peretz Tamar, Keret Dan, Cohen Dana, Israeli Eran
Bio-Marcare Technologies, BioPark, Jerusalem, Israel.
Humanitas Clinical and Research Center, Rozzano, Milan, Italy.
PLoS One. 2016 Jul 21;11(7):e0159522. doi: 10.1371/journal.pone.0159522. eCollection 2016.
Despite recent advances in molecular profiling of colorectal cancer (CRC), as of yet this has not translated into an unbiased molecular liquid biopsy profile which can accurately screen for early CRC. In this study we depict the profile of early stage CRC as well as for advanced adenomas (AA) by combination of current molecular knowledge with microarray technology, using efficient circulating free plasma RNA purification from blood and RNA amplification technologies. We joined literature search with Affymetrix gene chip experimental procedure to draw the circulating free plasma RNA profile of colorectal cancer disease reflected in blood. The RNA panel was tested by two datasets comparing patients with CRC with healthy subjects and patients with AA to healthy subjects. For the CRC patient cohort (28 CRC cases vs. 41 healthy controls), the ROC analysis of the selected biomarker panel generated a sensitivity of 75% and a specificity of 93% for the detection of CRC using 8-gene classification model. For the AA patient cohort (28 subjects vs. 46 healthy controls), a sensitivity of 60% and a specificity of 87% were calculated using a 2-gene classification model. We have identified a panel of 8 plasma RNA markers as a preliminary panel for CRC detection and subset markers suitable for AA detection. Subjected to extensive clinical validation we suggest that this panel represents a feasible approach and a potential strategy for noninvasive early diagnosis, as a first-line screening test for asymptomatic, average-risk population before colonoscopy.
尽管近年来在结直肠癌(CRC)的分子谱分析方面取得了进展,但截至目前,这尚未转化为一种能够准确筛查早期CRC的无偏倚分子液体活检谱。在本研究中,我们通过将当前分子知识与微阵列技术相结合,利用从血液中高效纯化循环游离血浆RNA和RNA扩增技术,描绘了早期CRC以及进展性腺瘤(AA)的谱图。我们将文献检索与Affymetrix基因芯片实验程序相结合,以绘制血液中反映的结直肠癌疾病的循环游离血浆RNA谱。通过两个数据集对RNA面板进行了测试,这两个数据集分别比较了CRC患者与健康受试者以及AA患者与健康受试者。对于CRC患者队列(28例CRC病例对41例健康对照),使用8基因分类模型对所选生物标志物面板进行ROC分析,检测CRC的灵敏度为75%,特异性为93%。对于AA患者队列(28名受试者对46名健康对照),使用2基因分类模型计算出的灵敏度为60%,特异性为87%。我们已经确定了一组8种血浆RNA标志物作为CRC检测的初步面板以及适合AA检测的子集标志物。经过广泛的临床验证,我们认为该面板代表了一种可行的方法和潜在的策略,可用于无创早期诊断,作为在结肠镜检查前对无症状、平均风险人群进行一线筛查的测试。