ArticleBioMed research international2020
Comprehensive Characterization of Prognostic Long Noncoding RNAs in Osteosarcoma.
Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 5 citations in OpenAlex.
- The role of mitochondria-related lncRNAs in characterizing the immune landscape and supervising the prognosis of osteosarcoma.Journal of bone oncology · 2023Article
- Navigating the genomic instability mine field of osteosarcoma to better understand implications of non-coding RNAs.Biocell : official journal of the Sociedades Latinoamericanas de Microscopia Electronica ... et. al · 2022Article
- A four-lncRNA risk signature for prognostic prediction of osteosarcoma.Frontiers in genetics · 2022Article
- LncRNA MATN1-AS1 for Prediction of Prognosis in Osteosarcoma Patients and Its Cellular Function.Molecular biotechnology · 2022Article
- Biomarker potential of lncRNA GNAS-AS1 in osteosarcoma prognosis and effect on cellular function.Journal of orthopaedic surgery and research · 2021Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The molecular mechanism of osteosarcoma (OS) based on protein-coding genes has largely been studied in the past decades. However, much remains to be explored when it comes to the role that long noncoding RNAs (lncRNAs) play in the pathogenesis and progression of OS and how they are associated with OS metastasis. In the present study, we collected RNA-seq-based gene expression data of 82 OS samples from the Therapeutically Applicable Research To Generate Effective Treatments (TARGET) database, along with their clinical information. We found that 50 lncRNAs were significantly associated with patients' survival by univariable Cox regression model. Moreover, we built multivariable Cox regression model based on 7 lncRNAs and successfully stratified patients into two risk groups, which exhibited significantly different prognostic outcomes. Significantly enriched Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways detected by differential expression analysis on DEGs between the two groups with different prognostic outcomes were both immune-related, indicating that such GO terms and pathways are critical for OS survival. Among the seven lncRNA signatures,
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Registered trials
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