ArticleBioMed research international2017
Cancer-Related Triplets of mRNA-lncRNA-miRNA Revealed by Integrative Network in Uterine Corpus Endometrial Carcinoma.
Article in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 32 citations in OpenAlex.
- Machine Learning-Based Identification of Candidate Serum miRNA Features for Pan-Cancer and Cancer Type Classification.Life (Basel, Switzerland) · 2026Article
- TPD52 as a Potential Prognostic Biomarker and its Correlation with Immune Infiltrates in Uterine Corpus Endometrial Carcinoma: Bioinformatic Analysis and Experimental Verification.Recent patents on anti-cancer drug discovery · 2025Article
- CXC chemokines: Potential biomarker and immunotherapeutic target for uterine corpus endometrial carcinoma.PloS one · 2024Article
- Deciphering DNA repair gene mutational landscape in uterine corpus endometrial carcinoma patients using next generation sequencing.American journal of cancer research · 2024Article
- The Role of miRNAs in the Development, Proliferation, and Progression of Endometrial Cancer.International journal of molecular sciences · 2023Review
- Long non‑coding RNA BLACAT2/miR‑378a‑3p/YY1 feedback loop promotes the proliferation, migration and invasion of uterine corpus endometrial carcinoma.Oncology reports · 2023Article
- Analysis of lncRNA sequences: FAM3D-AS1, LINC01230, LINC01315 and LINC01468 in endometrial cancer.BMC cancer · 2022Article
- Emerging Advances of Non-coding RNAs and Competitive Endogenous RNA Regulatory Networks in Asthma.Bioengineered · 2021Review
- The Role of lncRNAs in Gene Expression Regulation through mRNA Stabilization.Non-coding RNA · 2021Review
- Immune and Metabolic Dysregulated Coding and Non-coding RNAs Reveal Survival Association in Uterine Corpus Endometrial Carcinoma.Frontiers in genetics · 2021Article
- Identifying a Serum Exosomal-Associated lncRNA/circRNA-miRNA-mRNA Network in Coronary Heart Disease.Cardiology research and practice · 2021Article
- ZBTB7A, a potential biomarker for prognosis and immune infiltrates, inhibits progression of endometrial cancer based on bioinformatics analysis and experiments.Cancer cell international · 2020Article
- The lncRNA Gm15622 stimulates SREBP-1c expression and hepatic lipid accumulation by sponging the miR-742-3p in mice.Journal of lipid research · 2020Article
- Identification of aberrantly methylated differentially expressed genes and associated pathways in endometrial cancer using integrated bioinformatic analysis.Cancer medicine · 2020Article
- Investigation of miRNA and mRNA Co-expression Network in Ependymoma.Frontiers in bioengineering and biotechnology · 2020Article
- Large-scale inference of competing endogenous RNA networks with sparse partial correlation.Bioinformatics (Oxford, England) · 2019Article
- A novel alternative splicing-based prediction model for uteri corpus endometrial carcinoma.Aging · 2019Article
- The Identification and Analysis of mRNA-lncRNA-miRNA Cliques From the Integrative Network of Ovarian Cancer.Frontiers in genetics · 2019Article
- JAMI: fast computation of conditional mutual information for ceRNA network analysis.Bioinformatics (Oxford, England) · 2018Article
- Long Noncoding RNA XR007793 Regulates Proliferation and Migration of Vascular Smooth Muscle Cell via Suppressing miR-23b.Medical science monitor : international medical journal of experimental and clinical research · 2018Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The regulation of transcriptome expression level is a complex process involving multiple-level interactions among molecules such as protein coding RNA (mRNA), long noncoding RNA (lncRNA), and microRNA (miRNA), which are essential for the transcriptome stability and maintenance and regulation of body homeostasis. The availability of multilevel expression data enables a comprehensive view of the regulatory network. In this study, we analyzed the coding and noncoding gene expression profiles of 301 patients with uterine corpus endometrial carcinoma (UCEC). A new method was proposed to construct a genome-wide integrative network based on variance inflation factor (VIF) regression method. The cross-regulation relations of mRNA, lncRNA, and miRNA were then selected based on clique-searching algorithm from the network, when any two molecules of the three were shown as interacting according to the integrative network. Such relation, which we call the mRNA-lncRNA-miRNA triplet, demonstrated the complexity in transcriptome regulation process. Finally, six UCEC-related triplets were selected in which the mRNA participates in endometrial carcinoma pathway, such as CDH1 and TP53. The multi-type RNAs are proved to be cross-regulated as to each of the six triplets according to literature. All the triplets demonstrated the association with the initiation and progression of UCEC. Our method provides a comprehensive strategy for the investigation of transcriptome regulation mechanism.
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