ArticleBritish journal of cancer2013
A microRNA-based prediction algorithm for diagnosis of non-small lung cell carcinoma in minimal biopsy material.
Article in British journal of cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 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
- Novel Transcriptional and DNA Methylation Abnormalities of SORT1 Gene in Non-Small Cell Lung Cancer.Cancers · 2024Article
- 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
- Selection of reference genes for quantitative analysis of microRNA expression in three different types of cancer.PloS one · 2022Article
- miR-30b-5p up-regulation related to the dismal prognosis for patients with renal cell cancer.Journal of clinical laboratory analysis · 2021Article
- Long non-coding RNA dysregulation is a frequent event in non-small cell lung carcinoma pathogenesis.British journal of cancer · 2020Article
- MicroRNA profiling associated with non-small cell lung cancer: next generation sequencing detection, experimental validation, and prognostic value.Oncotarget · 2017Article
- An approach to forecast human cancer by profiling microRNA expressions from NGS data.BMC cancer · 2017Article
- Article
- Lung cancer screening: identifying the high risk cohort.Journal of thoracic disease · 2015Review
- Lung Cancer Gene Signatures and Clinical Perspectives.Microarrays (Basel, Switzerland) · 2013Review
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
backgroundDiagnosis is jeopardised when limited biopsy material is available or histological quality compromised. Here we developed and validated a prediction algorithm based on microRNA (miRNA) expression that can assist clinical diagnosis of lung cancer in minimal biopsy material to improve clinical management.
methodsDiscovery utilised Taqman Low Density Arrays (754 miRNAs) in 20 non-small cell lung cancer (NSCLC) tumour/normal pairs. In an independent set of 40 NSCLC patients, 28 miRNA targets were validated using qRT-PCR. A prediction algorithm based on eight miRNA targets was validated blindly in a third independent set of 47 NSCLC patients. The panel was also tested in formalin-fixed paraffin-embedded (FFPE) specimens from 20 NSCLC patients. The genomic methylation status of highly deregulated miRNAs was investigated by pyrosequencing.
resultsIn the final, frozen validation set the panel had very high sensitivity (97.5%), specificity (96.3%) and ROC-AUC (0.99, P=10(-15)). The panel provided 100% sensitivity and 95% specificity in FFPE tissue (ROC-AUC=0.97 (P=10(-6))). DNA methylation abnormalities contribute little to the deregulation of the miRNAs tested.
conclusionThe developed prediction algorithm is a valuable potential biomarker for assisting lung cancer diagnosis in minimal biopsy material. A prospective validation is required to measure the enhancement of diagnostic accuracy of our current clinical practice.
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