ArticleOncotarget2016
Identification of associations between small molecule drugs and miRNAs based on functional similarity.
Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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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
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Integrated analysis reveals down-regulation of SPARCL1 is correlated with cervical cancer development and progression.Cancer biomarkers : section A of Disease markers · 2018Pooled it
- Therapeutic rewiring of ceRNA networks: a computational pipeline for drug repurposing in acute kidney injury via circRNA-miRNA-mRNA axis disruption.Human genomics · 2026Review
- Transforming Cancer Diagnostics: The Emergence of Liquid Biopsy and Epigenetic Markers.MedComm · 2025Review
- MHESMMR: a multilevel model for predicting the regulation of miRNAs expression by small molecules.BMC bioinformatics · 2024Article
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- Identification of miRNA-Small Molecule Associations by Continuous Feature Representation Using Auto-Encoders.Pharmaceutics · 2021Article
- Drug Repositioning and Subgroup Discovery for Precision Medicine Implementation in Triple Negative Breast Cancer.Cancers · 2021Article
- MicroRNA regulation of B cell receptor signaling.Immunological reviews · 2021Review
- Upregulation ofBioMed research international · 2021Article
- Integrative Analysis of Regulatory Module Reveals Associations of Microgravity with Dysfunctions of Multi-body Systems and Tumorigenesis.International journal of molecular sciences · 2020Article
- SNMFSMMA: using symmetric nonnegative matrix factorization and Kronecker regularized least squares to predict potential small molecule-microRNA association.RNA biology · 2020Article
- Integrated miRNA profiling and bioinformatics analyses reveal upregulated miRNAs in gastric cancer.Oncology letters · 2019Article
- In Silico Prediction of Small Molecule-miRNA Associations Based on the HeteSim Algorithm.Molecular therapy. Nucleic acids · 2019Article
- Inferring potential small molecule-miRNA association based on triple layer heterogeneous network.Journal of cheminformatics · 2018Article
- A review of connectivity map and computational approaches in pharmacogenomics.Briefings in bioinformatics · 2018Review
- Prediction of Potential Small Molecule-Associated MicroRNAs Using Graphlet Interaction.Frontiers in pharmacology · 2018Article
- Integrated analysis of dosage effect lncRNAs in lung adenocarcinoma based on comprehensive network.Oncotarget · 2017Article
- Integrated transcriptomic analysis of distance-related field cancerization in rectal cancer patients.Oncotarget · 2017Article
- Identification of potential cancer-related pseudogenes in lung adenocarcinoma based on ceRNA hypothesis.Oncotarget · 2017Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MicroRNAs (miRNAs) are a class of small non-coding RNA molecules that regulate gene expression at post-transcriptional level. Increasing evidences show aberrant expression of miRNAs in varieties of diseases. Targeting the dysregulated miRNAs with small molecule drugs has become a novel therapy for many human diseases, especially cancer. Here, we proposed a novel computational approach to identify associations between small molecules and miRNAs based on functional similarity of differentially expressed genes. At the significance level of p < 0.01, we constructed the small molecule and miRNA functional similarity network involving 111 small molecules and 20 miRNAs. Moreover, we also predicted associations between drugs and diseases through integrating our identified small molecule-miRNA associations with experimentally validated disease related miRNAs. As a result, we identified 2265 associations between FDA approved drugs and diseases, in which ~35% associations have been validated by comprehensive literature reviews. For breast cancer, we identified 19 potential drugs, in which 12 drugs were supported by previous studies. In addition, we performed survival analysis for the patients from TCGA and GEO database, which indicated that the associated miRNAs of 4 drugs might be good prognosis markers in breast cancer. Collectively, this study proposed a novel approach to predict small molecule and miRNA associations based on functional similarity, which may pave a new way for miRNA-targeted therapy and drug repositioning.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.