ArticleBioengineered2021
Identification and in vitro validation of prognostic lncRNA signature in head and neck squamous cell carcinoma.
Article in Bioengineered, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Long Non-Coding RNA Expression in B-Cell Precursor Acute Lymphoblastic Leukemia: Analysis of LINC-PINT, MEG3, BALR6, and ZEB1-AS1.Life (Basel, Switzerland) · 2026Article
- Stemness-related lncRNAs signature as a biologic prognostic model for head and neck squamous cell carcinoma.Apoptosis : an international journal on programmed cell death · 2023Article
- Molecular Signature of Long Non-Coding RNA Associated with Areca Nut-Induced Head and Neck Cancer.Cells · 2023Article
- Review
- Article
- lncRNA LINC01315 promotes malignancy of triple-negative breast cancer and predicts poor outcomes by modulating microRNA-876-5p/GRK5.Bioengineered · 2022Article
- Characterization of tumor immune microenvironment and cancer therapy for head and neck squamous cell carcinoma through identification of a genomic instability-related lncRNA prognostic signature.Frontiers in genetics · 2022Article
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Long non-coding RNAs (lncRNAs) are promising cancer prognostic markers. However, the clinical significance of lncRNA signatures in evaluating overall survival (OS) outcomes of head and neck squamous cell carcinoma (HNSCC) has not been explored. This study aimed to assess the significance of lncRNA in HNSCC and to develop a lncRNA signature related to OS in HNSCC. LncRNA expression matrices were retrieved from the Cancer Genome Atlas (TCGA) data. Least Absolute Shrinkage and Selection of the Operator (LASSO), univariate and multivariate Cox regression were used for establishing a prognostic model. In vitro experiments were carried out to demonstrate the biological role of lncRNA. A prognosis model based on 7 DElncRNAs was finally established.The patients were then divided into high-risk and low-risk groups. Relative to the low-risk group, overall survival times for patients in the high-risk group were significantly low (P=2.466e-07). Risk score remained an independent prognostic factor in univariate (HR=1.329, 95%CI=1.239-1.425, p < 0.001) and multivariate (HR=1.279, 95%CI=1.184-1.382, p < 0.001) Cox regression analyses. The area under the curve (AUC) of the signature was as high as 0.78. Expressions of FOXD2-AS1 in tumor tissues were elevated, and significantly correlated with OS (P=0.008). FOXD2-AS1 silencing then significantly reduced HNSCC cell proliferation, invasion, and migration. In conclusion, a lncRNA signature was established for HNSCC prognostic prediction and FOXD2-AS1 was identified as an HNSCC oncogene.
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