Abstract | BACKGROUND: The subtypes of NSCLC have unique characteristics of pathogenic mechanism and responses to targeted therapies. Thus, non-invasive markers for diagnosis of different subtypes of NSCLC at early stage are needed. RESULTS: Based on the results from the screening and validation process, 3 miRNAs (miR-532, miR-628-3p and miR-425-3p) were found to display significantly different expression levels in early-stage lung adenocarcinoma, as compared to those in healthy controls. ROC analysis showed that the miRNA-based biomarker could distinguish lung adenocarcinoma from healthy controls with high AUC (0.974), sensitivity (91.5%), and specificity (97.8%). Importantly, these three miRNAs could also distinguish lung adenocarcinoma from lung benigh diseases and other subtypes of lung cancer. METHODS: Two hundreds and one early-stage lung adenocarcinoma cases and one hundreds seventy eight age- and sex-matched healthy controls were recruited to this study. We screened the differentially expressed plasma miRNAs using TaqMan Low Density Arrays (TLDA) followed by three-phase qRT-PCR validation. A risk score model was established to evaluate the diagnostic value of the plasma miRNA profiling system. CONCLUSIONS: Taken together, these findings suggest that the 3 miRNA-based biomarker might serve as a novel non-invasive approach for diagnosis of early-stage lung adenocarcinoma.
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Authors | Yang Wang, Hua Zhao, Xujie Gao, Feng Wei, Xinwei Zhang, Yanjun Su, Changli Wang, Hui Li, Xiubao Ren |
Journal | Oncotarget
(Oncotarget)
Vol. 7
Issue 18
Pg. 26070-86
(May 03 2016)
ISSN: 1949-2553 [Electronic] United States |
PMID | 27036025
(Publication Type: Journal Article)
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Chemical References |
- Biomarkers, Tumor
- MicroRNAs
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Topics |
- Adenocarcinoma
(blood, diagnosis, genetics)
- Adult
- Aged
- Aged, 80 and over
- Biomarkers, Tumor
(blood, genetics)
- Case-Control Studies
- Early Detection of Cancer
- Female
- Follow-Up Studies
- Humans
- Lung Neoplasms
(blood, diagnosis, genetics)
- Male
- MicroRNAs
(blood, genetics)
- Middle Aged
- Prognosis
- Survival Rate
- Young Adult
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