ArticleOncotarget2016
Integrative microRNA and gene profiling data analysis reveals novel biomarkers and mechanisms for lung cancer.
Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.
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Who cites it
40 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The accuracy of microRNA-210 in diagnosing lung cancer: a systematic review and meta-analysis.Oncotarget · 2016Pooled it
- Functional significance of miR-218 in lung cancer.Journal of cancer metastasis and treatment · 2026Article
- Insight into the Role of the miR-584 Family in Human Cancers.International journal of molecular sciences · 2024Review
- Customizing EV-CATCHER to Purify Placental Extracellular Vesicles from Maternal Plasma to Detect Placental Pathologies.International journal of molecular sciences · 2024Article
- Mitochondria-derived small RNAs as diagnostic biomarkers in lung cancer patients through a novel ratio-based expression analysis methodology.Genes & diseases · 2023Article
- Circular RNA circFBXO7 attenuates non-small cell lung cancer tumorigenesis by sponging miR-296-3p to facilitate KLF15-mediated transcriptional activation of CDKN1A.Translational oncology · 2023Article
- Prostate Cancer Secretome and Membrane Proteome fromInternational journal of molecular sciences · 2022Article
- Roles and regulatory mechanisms of miR-30b in cancer, cardiovascular disease, and metabolic disorders (Review).Experimental and therapeutic medicine · 2021Review
- Comprehensive Analysis of a tRNA-Derived Small RNA in Colorectal Cancer.Frontiers in oncology · 2021Article
- Identification of lncRNA biomarkers for lung cancer through integrative cross-platform data analyses.Aging · 2020Article
- Article
- miR-9 Does Not Regulate Lamin A Expression in Metastatic Cells from Lung Adenocarcinoma.International journal of molecular sciences · 2020Article
- Long noncoding RNA ZFAS1 promotes tumorigenesis and metastasis in nasopharyngeal carcinoma by sponging miR-892b to up-regulate LPAR1 expression.Journal of cellular and molecular medicine · 2020Article
- Effects of β-carotene on Expression of Selected MicroRNAs, Histone Acetylation, and DNA Methylation in Colon Cancer Stem Cells.Journal of cancer prevention · 2019Article
- MicroRNA-150-5p and SRC kinase signaling inhibitor 1 involvement in the pathological development of gastric cancer.Experimental and therapeutic medicine · 2019Article
- Effect of miR-140-5p on the regulation of proliferation and apoptosis in NSCLC and its underlying mechanism.Experimental and therapeutic medicine · 2019Article
- Inferring the Disease-Associated miRNAs Based on Network Representation Learning and Convolutional Neural Networks.International journal of molecular sciences · 2019Article
- Overexpressed long noncoding RNA CRNDE with distinct alternatively spliced isoforms in multiple cancers.Frontiers of medicine · 2019Article
- Correlative analysis of miR-34b and p53 with pathological characteristics of NSCLC.Oncology letters · 2019Article
- Downregulation of microRNA-425-5p suppresses cervical cancer tumorigenesis by targeting AIFM1.Experimental and therapeutic medicine · 2019Article
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Authors and funding
9 authors.
Funding
Abstract
backgroundStudies on the accuracy of microRNAs (miRNAs) in diagnosing non-small cell lung cancer (NSCLC) have still controversial. Therefore, we conduct to systematically identify miRNAs related to NSCLC, and their target genes expression changes using microarray data sets.
methodsWe screened out five miRNAs and six genes microarray data sets that contained miRNAs and genes expression in NSCLC from Gene Expression Omnibus.
resultsOur analysis results indicated that fourteen miRNAs were significantly dysregulated in NSCLC. Five of them were up-regulated (miR-9, miR-708, miR-296-3p, miR-892b, miR-140-5P) while nine were down-regulated (miR-584, miR-218, miR-30b, miR-522, miR486-5P, miR-34c-3p, miR-34b, miR-516b, miR-592). The integrating diagnosis sensitivity (SE) and specificity (SP) were 82.6% and 89.9%, respectively. We also found that 4 target genes (p < 0.05, fold change > 2.0) were significant correlation with the 14 discovered miRNAs, and the classifiers we built from one training set predicted the validation set with higher accuracy (SE = 0.987, SP = 0.824).
conclusionsOur results demonstrate that integrating miRNAs and target genes are valuable for identifying promising biomarkers, and provided a new insight on underlying mechanism of NSCLC. Further, our well-designed validation studies surely warrant the investigation of the role of target genes related to these 14 miRNAs in the prediction and development of NSCLC.
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