ArticlePloS one2017
Construction and analyses of the microRNA-target gene differential regulatory network in thyroid carcinoma.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 19 citations in OpenAlex.
- A novel long non-coding RNA, PICSAR, promotes thyroid cancer progression through the hsa-miR-320A/hsa-miR-485/RAPGEFL1 axis.Medical oncology (Northwood, London, England) · 2025Article
- Regulation and function of microRNA-152 in various types of cancers: its upstream regulators and downstream targets.Clinical and experimental medicine · 2025Review
- Mechanism of microRNA-152-3p-Mediated Regulation of Autophagy and Sensitivity in Paclitaxel-Resistant Ovarian Cancer Cells.OncoTargets and therapy · 2025Article
- From sequencing to validation: NGS-based exploration of plasma miRNA in papillary thyroid carcinoma.Frontiers in oncology · 2024Article
- MicroRNAs in thyroid cancer with focus on medullary thyroid carcinoma: potential therapeutic targets and diagnostic/prognostic markers and web based tools.Oncology research · 2024Review
- Identification of non-coding RNA related prognosis biomarkers based on ceRNA network in thyroid cancer.Frontiers in genetics · 2023Article
- Integrated microRNA-mRNA Expression Profiling Identifies Novel Targets and Networks Associated with Autism.Journal of personalized medicine · 2022Article
- Expression Profile and Diagnostic Significance of MicroRNAs in Papillary Thyroid Cancer.Cancers · 2022Article
- Mesenchymal stem cells-originated exosomal microRNA-152 impairs proliferation, invasion and migration of thyroid carcinoma cells by interacting with DPP4.Journal of endocrinological investigation · 2020Article
- Argonaute4 Modulates Resistance toPlant physiology · 2020Article
- Long non-coding RNA NR2F1-AS1 promoted proliferation and migration yet suppressed apoptosis of thyroid cancer cells through regulating miRNA-338-3p/CCND1 axis.Journal of cellular and molecular medicine · 2019Article
- Clinical roles of miR-136-5p and its target metadherin in thyroid carcinoma.American journal of translational research · 2019Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Thyroid-carcinoma (THCA) is the most common malignancy with an increasing incidence. Recent evidence has emphasized the role of microRNA (miRNA) in THCA. However, knowledge concerning the roles of miRNAs in THCA is still limited. We therefore use a miRNA-target gene differential regulatory network (MGDRN) to identify key miRNAs and characterize their synergistic regulation in THCA. Both miRNA-target gene interactions from multiple databases and negative expression correlations between miRNA-target genes were used to characterize the interactions. Then, two regulatory networks involving normal and tumor conditions were constructed, respectively. The MGDRN was finally constructed using different interactions between the above two regulatory networks. By analyzing topological features of the MGDRN, four miRNAs (hsa-mir-152-3p, hsa-mir-148a, hsa-mir-130b and hsa-mir-15b) are identified as key miRNAs in THCA. Over-expression of mir-152-3p inhibited proliferation and colony formation of TPC-1 cells. Furthermore, mir-152-3p negatively regulated ERBB3 by binding to the 3'-UTR of ERBB3, and down-regulation of ERBB3 by small interfering (si)RNAs inhibited proliferation and colony formation of TPC-1 cells, indicating that mir-152-3p acted as an anti-tumor miRNA by negatively regulating ERBB3. Finally, two synergistically dysregulated modules were identified which may contribute to the initiation and progression of THCA. Overall, the results provided a better understanding of the molecular basis of THCA, and suggested novel treatment strategies for this cancer.
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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.