ArticleScientific reports2018
A Prognostic 5-lncRNA Expression Signature for Head and Neck Squamous Cell Carcinoma.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Artificial Intelligence in the Diagnosis of Tongue Cancer: A Systematic Review with Meta-Analysis.Biomedicines · 2025Review
- Molecular Signature of Long Non-Coding RNA Associated with Areca Nut-Induced Head and Neck Cancer.Cells · 2023Article
- Transcriptomics data mining to uncover signature genes in head and neck squamous cell carcinoma: a bioinformatics analysis and RNA-sequencing based validation.American journal of cancer research · 2023Article
- The role of long non-coding RNAs in the pathogenesis of head and neck squamous cell carcinoma.Molecular therapy oncolytics · 2022Review
- 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
- A novel immune-related long non-coding RNA signature improves the prognosis prediction in the context of head and neck squamous cell carcinoma.Bioengineered · 2021Article
- H19- and hsa-miR-338-3p-mediated NRP1 expression is an independent predictor of poor prognosis in glioblastoma.PloS one · 2021Article
- Identification and Construction of a Predictive Immune-Related lncRNA Signature Model for Melanoma.International journal of general medicine · 2021Article
- Multifaceted Roles of Long Non-coding RNAs in Head and Neck Cancer.Advances in experimental medicine and biology · 2021Review
- Integrative Analysis of DNA Methylation Data and Transcriptome Data Identified a DNA Methylation-Dysregulated Four-LncRNA Signature for Predicting Prognosis in Head and Neck Squamous Cell Carcinoma.Frontiers in cell and developmental biology · 2021Article
- Immune-Related lncRNA Signature for Predicting the Immune Landscape of Head and Neck Squamous Cell Carcinoma.Frontiers in molecular biosciences · 2021Article
- Identification of a Novel Signature Predicting Overall Survival in Head and Neck Squamous Cell Carcinoma.Frontiers in surgery · 2021Article
- Systematic Analysis and Identification of Dysregulated Panel lncRNAs Contributing to Poor Prognosis in Head-Neck Cancer.Frontiers in oncology · 2021Article
- Expression scoring of a small-nucleolar-RNA signature identified by machine learning serves as a prognostic predictor for head and neck cancer.Journal of cellular physiology · 2020Article
- Article
- A transcriptional metabolic gene-set based prognostic signature is associated with clinical and mutational features in head and neck squamous cell carcinoma.Journal of cancer research and clinical oncology · 2020Article
- miR-30e-5p represses angiogenesis and metastasis by directly targeting AEG-1 in squamous cell carcinoma of the head and neck.Cancer science · 2020Article
- Identification and Clinical Validation of 4-lncRNA Signature for Predicting Survival in Head and Neck Squamous Cell Carcinoma.OncoTargets and therapy · 2020Article
- Article
- Transcriptomics and Epigenomics in head and neck cancer: available repositories and molecular signatures.Cancers of the head & neck · 2020Review
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Authors and funding
13 authors.
Funding
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Abstract
Head and neck squamous cell carcinoma (HNSCC) is a common malignant cancer that accounts for 5-10% of all cancers. This study aimed to identify essential genes associated with the prognosis of HNSCC and construct a powerful prognostic model for the risk assessment of HNSCC. RNAseq expression profile data for the patients with HNSCC were obtained from the TCGA database (GEO). A total of 500 samples with full clinical following-up were randomly divided into a training set and a validation set. The training set was used to screen for differentially expressed lncRNAs. Single-factor survival analysis was performed to obtain lncRNAs that associated with prognosis. A robust likelihood-based survival model was constructed to identify the lncRNAs that are essential for the prognosis of HNSCC. A co-expression network between genes and lncRNAs was also constructed to identify lncRNAs co-expressed with genes to serve as the final signature lncRNAs for prognosis. Finally, the prognostic effect of the signature lncRNAs was tested by multi-factor survival analysis and a scoring model for the prognosis of HNSCC was constructed. Moreover, the results of the validation set and the relative expression levels of the signature lncRNAs in the tumour and the adjacent tissue were consistent with the results of the training set. The 5 lncRNAs were distributed among 3 expression modules. Further KEGG pathway enrichment analysis showed that these 3 co-expressed modules participate in different pathways, and many of these pathways are associated with the development and progression of disease. Therefore, we proposed that the 5 validated lncRNAs can be used to predict the prognosis of HNSCC patients and can be applied in postoperative treatment and follow-up.
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