ArticleComputational and mathematical methods in medicine2021
Novel lncRNA Panel as for Prognosis in Esophageal Squamous Cell Carcinoma Based on ceRNA Network Mechanism.
Article in Computational and mathematical methods in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 14 citations in OpenAlex.
- Construction of PANoptosis-related LncRNA Prognostic Signature and Functional Analysis of AC034229.4 in Hepatocellular Carcinoma.Current medicinal chemistry · 2026Article
- Knockdown of LINC01087 inhibits gastric cancer malignant behavior by regulating the miR-135a-5p/CAAP1 axis.Functional & integrative genomics · 2023Article
- Use of exosome transcriptome-based analysis to identify novel biomarkers in patients with locally advanced esophageal squamous cell carcinoma undergoing neoadjuvant chemoradiotherapy.Annals of translational medicine · 2023Article
- Systematic Investigation of the Diagnostic and Prognostic Impact of LINC01087 in Human Cancers.Cancers · 2022Article
- Identification of a key ceRNA network associated with ferroptosis in gastric cancer.Scientific reports · 2022Article
- Prognostic Roles of ceRNA Network-Based Signatures in Gastrointestinal Cancers.Frontiers in oncology · 2022Review
- Identification of novel lactate metabolism signatures and molecular subtypes for prognosis in hepatocellular carcinoma.Frontiers in cell and developmental biology · 2022Article
- Establishment of Prognostic Signatures of N6-Methyladenosine-Related lncRNAs and Their Potential Functions in Hepatocellular Carcinoma Patients.Frontiers in oncology · 2022Article
- Upregulation of OTX2-AS1 is Associated With Immune Infiltration and Predicts Prognosis of Gastric Cancer.Technology in cancer research & treatmentArticle
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe competitive endogenous RNA (ceRNA) mechanism has been discovered recently and regulating cancer-related gene expressions. The ceRNA network participates in multiple processes, such as cell proliferation and metastasis, and potentially drives the progression of cancer. In this study, we focus on the ceRNA networks of esophageal squamous cell carcinoma and discovered a novel biomarker panel for cancer prognosis.
methodsRNA expression data of esophageal carcinoma from the TCGA database were achieved and constructed ceRNA network in esophageal carcinoma using R packages.
resultsFour miRNAs were discovered as the core of the ceRNA model, including miR-93, miR-191, miR-99b, and miR-3615. Moreover, we constructed a ceRNA network in esophageal carcinoma, which included 4 miRNAs and 6 lncRNAs. After ceRNA network modeling, we investigated six lncRNAs which could be taken together as a panel for prognosis prediction of esophageal cancer, including LINC02575, LINC01087, LINC01816, AL136162.1, AC012073.1, and AC117402.1. Finally, we tested the predictive power of the panel in all TCGA samples.
conclusionsOur study discovered a new biomarker panel which may have potential values in the prediction of prognosis of esophageal carcinoma.
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