Development of transcriptomic biomarker signature in human saliva to detect lung cancer.
Development of transcriptomic biomarker signature in human saliva to detect lung cancer.
复制标题
开发人类唾液中的转录组生物标志物特征来检测肺癌。
DOI:
10.1007/s00018-012-1027-0
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发表时间:
2012-10
影响因子:
8
通讯作者:
Wong, David T. W.
中科院分区:
文献类型:
--
作者:
Zhang, Lei;Xiao, Hua;Zhou, Hui;Santiago, Silverio;Lee, Jay M.;Garon, Edward B.;Yang, Jieping;Brinkmann, Ole;Yan, Xinmin;Akin, David;Chia, David;Elashoff, David;Park, No-Hee;Wong, David T. W.
Lung cancer is the leading cause of cancer death for both men and women worldwide. Since most of the symptoms found for lung cancer are nonspecific, diagnosis is mostly done at late and progressed stage with the consecutive poor therapy outcome. Effective early detection techniques are sorely needed. The emerging field of salivary diagnostics could provide scientifically credible, easy-to-use, non-invasive and cost-effective detection methods. Recent advances have allowed us to develop discriminatory salivary biomarkers for a variety of diseases from oral to systematic diseases. In this study, salivary transcriptomes of lung cancer patients were profiled and led to the discovery and pre-validation of seven highly discriminatory transcriptomic salivary biomarkers (BRAF, CCNI, EGRF, FGF19, FRS2, GREB1, and LZTS1). The logistic regression model combining five of the mRNA biomarkers (CCNI, EGFR, FGF19, FRS2, and GREB1) could differentiate lung cancer patients from normal control subjects, yielding AUC value of 0.925 with 93.75 % sensitivity and 82.81 % specificity in the pre-validation sample set. These salivary mRNA biomarkers possess the discriminatory power for the detection of lung cancer. This report provides the proof of concept of salivary biomarkers for the non-invasive detection of the systematic disease. These results poised the salivary biomarkers for the initiation of a multi-center validation in a definitive clinical context.
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影响因子:
3.7
作者:
Gao K;Zhou H;Zhang L;Lee JW;Zhou Q;Hu S;Wolinsky LE;Farrell J;Eibl G;Wong DT
通讯作者:
Wong DT
影响因子:
158.5
作者:
Kobayashi, S;Boggon, TJ;Halmos, B
通讯作者:
Halmos, B
影响因子:
11.2
作者:
Nonaka, D;Fabbri, A;Sozzi, G
通讯作者:
Sozzi, G
影响因子:
9.6
作者:
Gray, Robert D.;Duncan, Andrew;Boyd, A. Christopher
通讯作者:
Boyd, A. Christopher
影响因子:
4.4
作者:
Balko JM;Potti A;Saunders C;Stromberg A;Haura EB;Black EP
通讯作者:
Black EP