Jones Jeffrey J, Wilcox Bruce E, Benz Ryan W, Babbar Naveen, Boragine Genna, Burrell Ted, Christie Ellen B, Croner Lisa J, Cun Phong, Dillon Roslyn, Kairs Stefanie N, Kao Athit, Preston Ryan, Schreckengaust Scott R, Skor Heather, Smith William F, You Jia, Hillis W Daniel, Agus David B, Blume John E
Applied Proteomics, Inc., San Diego, CA.
Applied Minds, Glendale, CA.
Clin Colorectal Cancer. 2016 Jun;15(2):186-194.e13. doi: 10.1016/j.clcc.2016.02.004. Epub 2016 Mar 25.
Colorectal cancer (CRC) testing programs reduce mortality; however, approximately 40% of the recommended population who should undergo CRC testing does not. Early colon cancer detection in patient populations ineligible for testing, such as the elderly or those with significant comorbidities, could have clinical benefit. Despite many attempts to identify individual protein markers of this disease, little progress has been made. Targeted mass spectrometry, using multiple reaction monitoring (MRM) technology, enables the simultaneous assessment of groups of candidates for improved detection performance.
A multiplex assay was developed for 187 candidate marker proteins, using 337 peptides monitored through 674 simultaneously measured MRM transitions in a 30-minute liquid chromatography-mass spectrometry analysis of immunodepleted blood plasma. To evaluate the combined candidate marker performance, the present study used 274 individual patient blood plasma samples, 137 with biopsy-confirmed colorectal cancer and 137 age- and gender-matched controls. Using 2 well-matched platforms running 5 days each week, all 274 samples were analyzed in 52 days.
Using one half of the data as a discovery set (69 disease cases and 69 control cases), the elastic net feature selection and random forest classifier assembly were used in cross-validation to identify a 15-transition classifier. The mean training receiver operating characteristic area under the curve was 0.82. After final classifier assembly using the entire discovery set, the 136-sample (68 disease cases and 68 control cases) validation set was evaluated. The validation area under the curve was 0.91. At the point of maximum accuracy (84%), the sensitivity was 87% and the specificity was 81%.
These results have demonstrated the ability of simultaneous assessment of candidate marker proteins using high-multiplex, targeted-mass spectrometry to identify a subset group of CRC markers with significant and meaningful performance.
结直肠癌(CRC)检测项目可降低死亡率;然而,约40%应接受CRC检测的推荐人群并未进行检测。在不适合检测的患者群体中,如老年人或患有严重合并症的人群中早期发现结肠癌可能具有临床益处。尽管人们多次尝试识别该疾病的个体蛋白质标志物,但进展甚微。使用多反应监测(MRM)技术的靶向质谱分析能够同时评估多组候选物,以提高检测性能。
针对187种候选标志物蛋白开发了一种多重检测方法,在对免疫耗尽血浆进行的30分钟液相色谱 - 质谱分析中,通过674个同时测量的MRM跃迁监测337种肽段。为评估联合候选标志物的性能,本研究使用了274份个体患者血浆样本,其中137份经活检确诊为结直肠癌,137份为年龄和性别匹配的对照。使用两个匹配良好的平台,每周各运行5天,在52天内对所有274份样本进行了分析。
将一半数据用作发现集(69例疾病病例和69例对照病例),在交叉验证中使用弹性网络特征选择和随机森林分类器组装来识别一个15跃迁分类器。训练集的平均曲线下面积为0.82。在使用整个发现集进行最终分类器组装后,对136个样本(68例疾病病例和68例对照病例)的验证集进行了评估。验证集的曲线下面积为0.91。在最大准确率(84%)时,灵敏度为87%,特异性为81%。
这些结果证明了使用高多重靶向质谱同时评估候选标志物蛋白的能力,以识别一组具有显著且有意义性能的CRC标志物。