Blood-borne miRNA profile-based diagnostic classifier for lung adenocarcinoma.
Blood-borne miRNA profile-based diagnostic classifier for lung adenocarcinoma.
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DOI:
10.1038/srep31389
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发表时间:
2016-08-10
影响因子:
4.6
通讯作者:
Takahashi T
中科院分区:
文献类型:
--
作者:
Tai MC;Yanagisawa K;Nakatochi M;Hotta N;Hosono Y;Kawaguchi K;Naito M;Taniguchi H;Wakai K;Yokoi K;Takahashi T
Accumulated evidence indicates that various types of miRNA are aberrantly expressed in lung cancer and secreted into the bloodstream. For this study, we constructed a serum diagnostic classifier based on detailed bioinformatics analysis of miRNA profiles from a training cohort of 143 lung adenocarcinoma patients and 49 healthy subjects, resulting in a 20 miRNA-based classifier. Validation performed with an independent cohort of samples from lung adenocarcinoma patients (n = 110), healthy subjects (n = 52), and benign pulmonary disease patients (n = 47) showed a sensitivity of 89.1% and specificity of 94.9%, with an area under the curve value of 0.958. Notably, 90.8% of Stage I lung adenocarcinoma cases were correctly diagnosed. Interestingly, this classifier also detected squamous and large cell lung carcinoma cases at relatively high rates (70.4% and 70.0%, respectively), which appears to be consistent with organ site-dependent miRNA expression in cancer tissues. In contrast, we observed significantly lower rates (0–35%) using samples from 96 cases of cancer in other major organs, with breast cancer the lowest. These findings warrant a future study to realize its clinical application as a part of diagnostic procedures for lung cancers, for which early detection and surgical removal is presently the only hope for eventual cure.