ArticleOncoTargets and therapy2018
A ten-long non-coding RNA signature for predicting prognosis of patients with cervical cancer.
Article in OncoTargets and therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Identification of cuproptosis-related lncRNA for predicting prognosis and immunotherapeutic response in cervical cancer.Scientific reports · 2023Trial
- Immune-related LncRNAs scores predicts chemotherapeutic responses and prognosis in cervical cancer patients.Discover oncology · 2024Article
- An Independent Prognostic Model Based on Ten Autophagy-Related Long Noncoding RNAs in Pancreatic Cancer Patients.Genetics research · 2022Article
- Autophagy-related long non-coding RNA signature for potential prognostic biomarkers of patients with cervical cancer: a study based on public databases.Annals of translational medicine · 2021Article
- A 70-Gene Signature for Predicting Treatment Outcome in Advanced-Stage Cervical Cancer.Molecular therapy oncolytics · 2020Article
- A prognostic nomogram integrating novel biomarkers identified by machine learning for cervical squamous cell carcinoma.Journal of translational medicine · 2020Article
- Mining of prognosis-related genes in cervical squamous cell carcinoma immune microenvironment.PeerJ · 2020Article
- Comprehensive analysis of prognostic alternative splicing signature in cervical cancer.Cancer cell international · 2020Article
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Authors and funding
7 authors.
Funding
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Abstract
purposeThe aim of the present study was to construct a novel long non-coding RNA (lncRNA) signature to predict the prognosis of patients with cervical cancer (CC). MATERIALS AND
methodsWe downloaded lncRNA expression profiles and clinical characteristics from The Cancer Genome Atlas database and randomly divided them into a training dataset (n=200) and a testing dataset (n=87). Using a Cox-based iterative sure independence screening procedure combined with a resampling technique, a lncRNA signature was calculated from prognostic lncRNAs in the training dataset and was independently verified in the testing and the entire datasets. In addition, multivariate Cox regression and further stratified analyses were performed, taking into consideration the lncRNA signature as well as other clinical characteristics. Finally, we predicted the underlying functional effects of the prognostic lncRNAs by using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses.
resultsWe constructed a promising ten-lncRNA signature that was significantly associated with the prognosis of CC on the basis of a risk score formula. The risk score was used to classify patients into high-risk and low-risk groups with different overall survival in the training dataset, and was confirmed in the testing and entire datasets. Compared with the clinical factors, the ten-lncRNA signature was found to be an independent prognostic indicator and displayed robust prognostic performance. A functional analysis indicated that these ten lncRNAs were enriched in immune response, cell adhesion molecules and nuclear factor kappa B signaling.
conclusionOur results demonstrated that this ten-lncRNA signature may serve as a prognostic biomarker for patients with CC.
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