ArticlePeerJ2018
Bioinformatic analysis and identification of potential prognostic microRNAs and mRNAs in thyroid cancer.
Article in PeerJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 46 citations in OpenAlex.
- Screening differentially expressed proteins to distinguish thymoma (B1 and B3) from thymic cysts based on tandem mass tag (TMT) technology.Journal of cardiothoracic surgery · 2024Article
- Identification of potential targetable genes in papillary, follicular, and anaplastic thyroid carcinoma using bioinformatics analysis.Endocrine · 2024Article
- Article
- Article
- Genome-wide cross-cancer analysis illustrates the critical role of bimodal miRNA in patient survival and drug responses to PI3K inhibitors.PLoS computational biology · 2022Article
- Thymosin β10 mediates the effects of microRNA-184 in the proliferation and epithelial-mesenchymal transition of BCPAP cells.Experimental and therapeutic medicine · 2021Article
- Identification of key biomarkers for thyroid cancer by integrative gene expression profiles.Experimental biology and medicine (Maywood, N.J.) · 2021Article
- The diagnostic and prognostic values of microRNA-196a in cancer.Bioscience reports · 2021Article
- TNRC6C-AS1 Promotes Thyroid Cancer Progression by Upregulating LPAR5 via miR-513c-5p.Cancer management and research · 2021Article
- miR-196a-2 Promotes Malignant Progression of Thyroid Carcinoma by Targeting NRXN1.Computational and mathematical methods in medicine · 2021Article
- Integrated bioinformatics analysis and screening of hub genes in papillary thyroid carcinoma.PloS one · 2021Article
- Integrative Analyses of Genes Associated with Hashimoto's Thyroiditis.Journal of immunology research · 2021Article
- Construction of Potential Gene Expression and Regulation Networks in Prostate Cancer Using Bioinformatics Tools.Oxidative medicine and cellular longevity · 2021Article
- Identification of modules and novel prognostic biomarkers in liver cancer through integrated bioinformatics analysis.FEBS open bio · 2020Article
- Identification of key differentially expressed mRNAs and microRNAs in non-small cell lung cancer using bioinformatics analysis.Experimental and therapeutic medicine · 2020Article
- Potential five-mRNA signature model for the prediction of prognosis in patients with papillary thyroid carcinoma.Oncology letters · 2020Article
- Integrated bioinformatics analysis for the identification of potential key genes affecting the pathogenesis of clear cell renal cell carcinoma.Oncology letters · 2020Article
- The stress-activated protein kinase pathway and the expression of stanniocalcin-1 are regulated by miR-146b-5p in papillary thyroid carcinogenesis.Cancer biology & therapy · 2020Article
- Article
- Six Immune Associated Genes Construct Prognostic Model Evaluate Low-Grade Glioma.Frontiers in immunology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Thyroid cancer is one of the most common endocrine malignancies. Multiple evidences revealed that a large number of microRNAs and mRNAs were abnormally expressed in thyroid cancer tissues. These microRNAs and mRNAs play important roles in tumorigenesis. In the present study, we identified 72 microRNAs and 1,766 mRNAs differentially expressed between thyroid cancer tissues and normal thyroid tissues and evaluated their prognostic values using Kaplan-Meier survival curves by log-rank test. Seven microRNAs (miR-146b, miR-184, miR-767, miR-6730, miR-6860, miR-196a-2 and miR-509-3) were associated with the overall survival. Among them, three microRNAs were linked with six differentially expressed mRNAs (miR-767 was predicted to target COL10A1, PLAG1 and PPP1R1C; miR-146b was predicted to target MMP16; miR-196a-2 was predicted to target SYT9). To identify the key genes in the protein-protein interaction network , we screened out the top 10 hub genes (NPY, NMU, KNG1, LPAR5, CCR3, SST, PPY, GABBR2, ADCY8 and SAA1) with higher degrees. Only LPAR5 was associated with the overall survival. Multivariate analysis demonstrated that miR-184, miR-146b, miR-509-3 and LPAR5 were an independent risk factors for prognosis. Our results of the present study identified a series of prognostic microRNAs and mRNAs that have the potential to be the targets for treatment of thyroid cancer.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.