ArticleOncotarget2017
Identification of a RNA-Seq based prognostic signature with five lncRNAs for lung squamous cell carcinoma.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
- A phylogeny-guided framework for decoding mechanisms of human endogenous retrovirus regulation in health and disease.bioRxiv : the preprint server for biology · 2026Article
- The potential of targeting autophagy-related non-coding RNAs in the treatment of lung cancer.Frontiers in pharmacology · 2025Review
- Article
- LncRNA in tumorigenesis of non-small-cell lung cancer: From bench to bedside.Cell death discovery · 2022Review
- Long Intergenic Nonprotein Coding RNA 00174 Aggravates Lung Squamous Cell Carcinoma Progression via MicroRNA-185-5p/Nuclear Factor IX axis.BioMed research international · 2022Article
- From bulk, single-cell to spatial RNA sequencing.International journal of oral science · 2021Review
- Identification of key pseudogenes in nasopharyngeal carcinoma based on RNA-Seq analysis.BMC cancer · 2021Article
- Prognostic gene biomarker identification in liver cancer by data mining.American journal of translational research · 2021Article
- Integrative Genomic and Transcriptomic Analyses of Tumor Suppressor Genes and Their Role on Tumor Microenvironment and Immunity in Lung Squamous Cell Carcinoma.Frontiers in immunology · 2021Article
- Construction of a 6-gene prognostic signature to assess prognosis of patients with pancreatic cancer.Medicine · 2020Observational
- Identification of prognostic gene biomarkers for metastatic skin cancer using data mining.Biomedical reports · 2020Article
- A prognostic 11-DNA methylation signature for lung squamous cell carcinoma.Journal of thoracic disease · 2020Article
- Integrated Analysis to Evaluate the Prognostic Value of Signature mRNAs in Glioblastoma Multiforme.Frontiers in genetics · 2020Article
- Efficacy of Compound Herbal Medicine Tong-Xie-Yao-Fang for Acute Radiation Enteritis and Its Potential Mechanisms: Evidence from Transcriptome Analysis.BioMed research international · 2020Article
- Construction and Validation of a Protein Prognostic Model for Lung Squamous Cell Carcinoma.International journal of medical sciences · 2020Article
- Changing Technologies of RNA Sequencing and Their Applications in Clinical Oncology.Frontiers in oncology · 2020Review
- Systematic analysis identifies three-lncRNA signature as a potentially prognostic biomarker for lung squamous cell carcinoma using bioinformatics strategy.Translational lung cancer research · 2019Article
- Long non‑coding RNAs in lung cancer: Regulation patterns, biologic function and diagnosis implications (Review).International journal of oncology · 2019Review
- Prognosis of clear cell renal cell carcinoma (ccRCC) based on a six-lncRNA-based risk score: an investigation based on RNA-sequencing data.Journal of translational medicine · 2019Article
- Analysis of Survival-Related lncRNA Landscape Identifies A Role for LINC01537 in Energy Metabolism and Lung Cancer Progression.International journal of molecular sciences · 2019Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Long non-coding RNAs (lncRNAs) expression profile signature for survival assessment in lung squamous cell carcinoma (LUSC) are largely inconsistent due to distinct detecting approaches and small sample size. Systematic and integrative investigation of RNA-Seq based data from The Cancer Genome Atlas (TCGA) herein was performed to determine candidate lncRNAs for prognosis evaluation of LUSC. A total of 60483 genes, including 7589 lncRNAs were assessed in a cohort including 478 LUSC cases with follow-up data. Firstly, 4225 differentially expressed lncRNAs were obtained via R packages. Next, univariate and multivariate Cox proportional hazards regression revealed that 41 lncRNAs were closely related to the survival of LUSC. Finally, lncRNA based prognosis index (PI) could predict overall survival of LUSC with high accuracy (AUC = 0.652, CI: 0.598, 0.705), PI = exp
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