ArticlePloS one2022
Pan-cancer analysis of microRNA expression profiles highlights microRNAs enriched in normal body cells as effective suppressors of multiple tumor types: A study based on TCGA database.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 18 citations in OpenAlex.
- A Pan-Cancer Analysis of microRNA Tissue Specificity and Its Association with Dysregulation.International journal of molecular sciences · 2026Article
- MicroRNA Signatures of Fulvestrant-Treated Luminal Breast Cancer Cells: Identification of Therapeutic Targets Regulated byInternational journal of molecular sciences · 2026Article
- Pan-cancer and single-cell analysis identifies MAGI2-AS3 as an immune regulator and prognostic biomarker with a focus on colorectal cancer.Discover oncology · 2026Article
- Stem cell research and regenerative medicine: meeting report from the Royan International Stem Cell Congress 2025.Journal of biological engineering · 2026Article
- miRNA-Mediated Signaling Networks in Non-Small Cell Lung Cancer: Linking Tumor Progression to Sarcopenia.International journal of molecular sciences · 2026Article
- The harmonies played by miR-302/367 cluster in pluripotency, reprogramming, and rejuvenation.Stem cells translational medicine · 2026Review
- The mutual impacts of stem cells and sleep: opportunities for improved stem cell therapy.Stem cell research & therapy · 2025Review
- MiR-124-3p inhibits proliferation, migration, and epithelial-mesenchymal transformation in gastric cancer by targeting ITGB1.American journal of translational research · 2025Article
- Neural network prediction model based on Levy flight and natural biomimetic technology for its application in cancer prediction.PloS one · 2025Article
- MicroRNA-mediated regulation of autophagy in lung cancer: role in tumourigenesis and chemotherapy resistance.Academia oncology · 2025Article
- miR-218-5p, miR-124-3p and miR-23b-3p act synergistically to modulate the expression of NACC1, proliferation, and apoptosis in C-33A and CaSki cells.Non-coding RNA research · 2024Article
- Advances in research on the anti-tumor mechanism ofFrontiers in oncology · 2024Review
- Circulating miRNA Expression Profiles and Machine Learning Models in Association with Response to Irinotecan-Based Treatment in Metastatic Colorectal Cancer.International journal of molecular sciences · 2022Article
- MiRNA-148a inhibits cell growth and drug resistance by regulatingTranslational andrology and urology · 2022Article
Corrections and comments
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Authors and funding
8 authors at 6 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMicroRNAs (miRNAs) are frequently deregulated in various types of cancer. While antisense oligonucleotides are used to block oncomiRs, delivery of tumour-suppressive miRNAs holds great potential as a potent anti-cancer strategy. Here, we aim to determine, and functionally analyse, miRNAs that are lowly expressed in various types of tumour but abundantly expressed in multiple normal tissues.
methodsThe miRNA sequencing data of 14 cancer types were downloaded from the TCGA dataset. Significant differences in miRNA expression between tumor and normal samples were calculated using limma package (R programming). An adjusted p value < 0.05 was used to compare normal versus tumor miRNA expression profiles. The predicted gene targets were obtained using TargetScan, miRanda, and miRDB and then subjected to gene ontology analysis using Enrichr. Only GO terms with an adjusted p < 0.05 were considered statistically significant. All data from wet-lab experiments (cell viability assays and flow cytometry) were expressed as means ± SEM, and their differences were analyzed using GraphPad Prism software (Student's t test, p < 0.05).
resultsBy compiling all publicly available miRNA profiling data from The Cancer Genome Atlas (TCGA) Pan-Cancer Project, we reveal a small set of tumour-suppressing miRNAs (which we designate as 'normomiRs') that are highly expressed in 14 types of normal tissues but poorly expressed in corresponding tumour tissues. Interestingly, muscle-enriched miRNAs (e.g. miR-133a/b and miR-206) and miRNAs from DLK1-DIO3 locus (e.g. miR-381 and miR-411) constitute a large fraction of the normomiRs. Moreover, we define that the CCCGU motif is absent in the oncomiRs' seed sequences but present in a fraction of tumour-suppressive miRNAs. Finally, the gain of function of candidate normomiRs across several cancer cell types indicates that miR-206 and miR-381 exert the most potent inhibition on multiple cancer types in vitro.
conclusionOur results reveal a pan-cancer set of tumour-suppressing miRNAs and highlight the potential of miRNA-replacement therapies for targeting multiple types of tumour.
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