ArticleOncotarget2017
Identification of long non-coding RNAs biomarkers associated with progression of endometrial carcinoma and patient outcomes.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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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.
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Who cites it
21 citing papers in PubMed, 29 citations in OpenAlex.
- Evaluation of specific lncRNAs, miRNAs, and mRNAs in different groups of prostate cancer.BioImpacts : BI · 2025Article
- CRISPR du-HITI an attractive approach to targeting Long Noncoding RNA HCP5 as inhibitory factor for proliferation of ovarian cancer cell.Functional & integrative genomics · 2024Article
- Construction of Endometrial Carcinoma ceRNA Network and Screening of Key Genes Based on TCGA Database.Computational and mathematical methods in medicine · 2022Article
- COVID-19-associated lncRNAs as predictors of survival in uterine corpus endometrial carcinoma: A prognostic model.Frontiers in genetics · 2022Article
- Joint changes in RNA, RNA polymerase II, and promoter activity through the cell cycle identify non-coding RNAs involved in proliferation.Scientific reports · 2021Article
- The role of HOTAIR/miR-152-3p/LIN28B in regulating the progression of endometrial squamous carcinoma.Archives of medical science : AMS · 2021Article
- Identification of early stage recurrence endometrial cancer biomarkers using bioinformatics tools.Oncology reports · 2020Observational
- Aberrant Expression of Long Non-coding RNAs in Exosomes in Follicle Fluid From PCOS Patients.Frontiers in genetics · 2020Article
- Construction of a Competitive Endogenous RNA Network in Uterine Corpus Endometrial Carcinoma.Medical science monitor : international medical journal of experimental and clinical research · 2019Article
- Knockdown of differentiation antagonizing non-protein coding RNA exerts anti-tumor effect by up-regulating miR-214 in endometrial carcinoma.Molecular and cellular biochemistry · 2019Article
- Association of HOTAIR gene polymorphisms and haplotypes with uterine leiomyoma susceptibility in southeast of Iran.Molecular biology reports · 2019Article
- Identification of prognostic biomarkers of prostate cancer with long non-coding RNA-mediated competitive endogenous RNA network.Experimental and therapeutic medicine · 2019Article
- Review
- Novel Tumor Suppressor lncRNA Growth Arrest-Specific 5 (GAS5) In Human Cancer.OncoTargets and therapy · 2019Article
- Non-Coding RNAs in Glioma.Cancers · 2018Review
- Identification of a six-gene signature with prognostic value for patients with endometrial carcinoma.Cancer medicine · 2018Article
- Establishment of a nine-gene prognostic model for predicting overall survival of patients with endometrial carcinoma.Cancer medicine · 2018Article
- Non-Coding RNAs and Endometrial Cancer.Genes · 2018Review
- Long non-coding RNA: its evolutionary relics and biological implications in mammals: a review.Journal of animal science and technology · 2018Review
- Exploration of DNA methylation markers for diagnosis and prognosis of patients with endometrial cancer.Epigenetics · 2018Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Endometrial carcinoma is a complex disease characterized by both genetic, epigenetic and environmental factors. Increasing evidence has suggested that long non-coding RNAs (lncRNAs) play important roles in the development and progression of cancers. In this study, we performed a comparison analysis for lncRNA expression between patients with early-stage (stage I/II) and those with advanced-stage (stage III/IV) derived from The Cancer Genome Atlas (TCGA) project and identified 17 differentially expressed lncRNAs using student t-test. Five of the 17 differentially expressed lncRNAs were selected as optimal biomarkers that are significantly associated with progression of UCEC using random forest feature selection procedure. A risk classifier of five lncRNAs was developed to as a molecular signature that identifies patients at high risk for progression using support vector machine. Results of five-lncRNA risk classifier achieved high discriminatory performance in distinguishing advanced stage from early stage with 78% prediction accuracy, 96.6% sensitivity and 76.6% specificity. Functional analysis suggested that these five lncRNA biomarkers may play critical roles in the progression of UCEC by participating in important cancer-related biological processes. Our study will help to improve our understanding of underlying mechanisms in the progression of UCEC and provide novel lncRNAs as candidate predictive biomarkers for the identification of patients with high risk for progression.
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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.