Identification of miRNAs as non-invasive biomarkers for early diagnosis of lung cancers

Wang, Wenzhe, Li, Weili, Ding, Mingjian, Yuan, Haining, Yang, Jian, Meng, Wen, Jin, Er, Wang, Xiaoju and Ma, Shenglin (2016) Identification of miRNAs as non-invasive biomarkers for early diagnosis of lung cancers. Tumor Biology, 37 12: 16287-16293. doi:10.1007/s13277-016-5442-y

Author Wang, Wenzhe
Li, Weili
Ding, Mingjian
Yuan, Haining
Yang, Jian
Meng, Wen
Jin, Er
Wang, Xiaoju
Ma, Shenglin
Title Identification of miRNAs as non-invasive biomarkers for early diagnosis of lung cancers
Journal name Tumor Biology   Check publisher's open access policy
ISSN 1423-0380
Publication date 2016-12-01
Year available 2016
Sub-type Article (original research)
DOI 10.1007/s13277-016-5442-y
Open Access Status Not yet assessed
Volume 37
Issue 12
Start page 16287
End page 16293
Total pages 7
Place of publication Dordrecht, Netherlands
Publisher Springer Netherlands
Language eng
Subject 1306 Cancer Research
Abstract Current clinical diagnostic methods lack the specificity in detecting lung cancer patients. The issue is particularly critical for stage I and II patients. Considerable evidence showed microRNA plays a very important role in lung carcinogenesis. Here, we identified a panel of 41 miRNAs significantly elevated in patients with lung cancer, of which eight miRNAs were further validated in an independent sample cohort. Classification analysis using the panel of eight miRNAs generated a discriminatory power of 93.3 % sensitivity and 93.8 % specificity in separating non-small-cell lung cancer (NSCLC) patients from normal controls, indicating the miRNAs have a potential clinical utility in discriminating NSCLC. Interestingly, miR-1244 was found significantly elevated in the serum samples of lung cancer patients, and the test characteristics of the single miRNA were area under the curve (AUC) of 0.832 in NSCLC vs healthy controls, and 0.861 in NSCLC vs patients with unidentified pulmonary nodules. This is the first study showing serum miR-1244 could be a biomarker to screen lung cancer patients from the high-risk population.
Keyword Biomarker
Lung cancer
Q-Index Code C1
Q-Index Status Provisional Code
Grant ID 81172072
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
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Queensland Brain Institute Publications
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