ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016
Identification of miRNAs as non-invasive biomarkers for early diagnosis of lung cancers.
Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Clinically Correlated MicroRNAs in the Diagnosis of Non-Small Cell Lung Cancer: A Systematic Review and Meta-Analysis.BioMed research international · 2018Pooled it
- Reference Genes for qPCR-Based miRNA Expression Profiling in 14 Human Tissues.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2022Review
- Circulating miRNAs as Diagnostic and Prognostic Biomarkers in Common Solid Tumors: Focus on Lung, Breast, Prostate Cancers, and Osteosarcoma.Journal of clinical medicine · 2019Review
- Review
- Systematic review and critique of circulating miRNAs as biomarkers of stage I-II non-small cell lung cancer.Oncotarget · 2017Review
- The clinical use of circulating microRNAs as non-invasive diagnostic biomarkers for lung cancers.Oncotarget · 2017Article
Corrections and comments
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Authors and funding
9 authors.
Funding
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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.
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