ArticleInternational journal of clinical and experimental medicine2015
Expression profile of long non-coding RNAs is altered in endometrial cancer.
Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 22 citations in OpenAlex.
- Ellagic acid inhibits human colon cancer HCT-116 cells by regulating long noncoding RNAs.Anti-cancer drugs · 2023Article
- Combined proteomics and transcriptomics identifies serpin family C member 1 associated protein as a biomarker of endometriosis.Annals of medicine · 2023Article
- Integration of Genomic and Clinical Retrospective Data to Predict Endometrioid Endometrial Cancer Recurrence.International journal of molecular sciences · 2022Article
- Ontologies and Knowledge Graphs in Oncology Research.Cancers · 2022Review
- Long noncoding RNA SNHG25 promotes the malignancy of endometrial cancer by sponging microRNA-497-5p and increasing FASN expression.Journal of ovarian research · 2021Article
- LncRNA MCTP1-AS1 Regulates EMT Process in Endometrial Cancer by Targeting the miR-650/SMAD7 Axis.OncoTargets and therapy · 2021Article
- Long Non-Coding RNA SNHG14 Impedes Viability, Migration and Invasion of Endometrial Carcinoma Cells Through Modulating miR-93-5p/Cancer management and research · 2020Article
- Review
- The role of lncRNAs in the development of endometrial carcinoma.Oncology letters · 2018Review
- Gene microarray analysis of lncRNA and mRNA expression profiles in patients with high‑grade ovarian serous cancer.International journal of molecular medicine · 2018Article
- Non-Coding RNAs and Endometrial Cancer.Genes · 2018Review
- Genome-Wide Analysis Identified a Number of Dysregulated Long Noncoding RNA (lncRNA) in Human Pancreatic Ductal Adenocarcinoma.Technology in cancer research & treatment · 2018Article
- Transcriptomic profiling of long non-coding RNAs in dermatomyositis by microarray analysis.Scientific reports · 2016Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study was to uncover the role of long non-coding RNA (lncRNA) in the process of endometrial cancer (EC) development using microarray technique to obtain the expression profiles of lncRNAs in EC and its adjacent normal tissues. A total of 45 pieces of pathologically-proven EC tissues were used in this study. All samples were frozen in liquid nitrogen immediately after resection and stored at -80°C for future use. The detection of lncRNA and transcripts was conducted using microarray analysis. To understand the biochemical function of lncRNA, bioinformatics analyses (gene ontology and pathway analyses) were performed. To further investigate the relationship between lncRNAs and EC, subgroup analysis was conducted. In order to validate the consistency of the lncRNAs with microarray data, qRT-PCR was performed. In this study, 30586 lncRNAs and 26109 transcripts (fold change ≥ 2.0) were found in the tested EC. In particular, compared with normal tissues, 4010 the lncRNA were up-regulated, and 3350 of them were down-regulated. Seven of the lncRNAs were in accordance with microarray data in qRT-PCR. Among these lncRNAs, 3 were up-regulated and 4 were down-regulated. Furthermore, pathway analysis revealed that 24 pathways were correlated to the up-regulated transcripts, while 27 pathways were associated with the down-regulated transcripts. Our study demonstrated that the expressions of a large amount of lncRNAs were altered in EC in comparison to normal tissues, suggesting that lncRNAs could potentially serve as a diagnostic biomarker that is beneficial for the diagnosis and therapy of EC.
Indexed as
Identifiers
26131074PMC4483839W2223549427What 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.