Evidence map›Paper›PMID 34425868›Full record

ArticleJournal of orthopaedic surgery and research2021

Comprehensive analysis of metabolism-related lncRNAs related to the progression and prognosis in osteosarcoma from TCGA.

Xingyin Chen, Zhengyun Ye, Pan Lou, Wei Liu, Ying Liu

Abstract read
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Article in Journal of orthopaedic surgery and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

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0cells of the map it votes in
10citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xingyin ChenSpinal Surgery, The First People's Hospital of Jingmen, Jingmen, Hubei, China.
Zhengyun YeSpinal Surgery, The First People's Hospital of Jingmen, Jingmen, Hubei, China.
Pan LouSpinal Surgery, The First People's Hospital of Jingmen, Jingmen, Hubei, China.
Wei LiuSpinal Surgery, The First People's Hospital of Jingmen, Jingmen, Hubei, China.
Ying LiuDepartment of Gastroenterology, The First People's Hospital of Jingmen, Xiangshan Avenue 168, Jingmen, 448000, Hubei, China. rainly.1988@163.com.ORCID http://orcid.org/0000-0002-1017-0818

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteosarcoma is one of the most common malignant neoplasms in children and adolescents. Studies have shown that metabolism-related pathways are vital for the development and metastasis of osteosarcoma. Long non-coding RNA (lncRNA) plays a key role in the occurrence and progression of cancer in a variety of ways. However, the detailed molecular mechanisms of metabolism-related lncRNA in osteosarcoma remain to be deeply elucidated.

methodsIn this study, all metabolism-related mRNAs and lncRNAs in osteosarcoma were extracted and identified based on transcriptomic data from the TCGA database. Usingsurvival analysis, univariate and multivariate independent prognostic analysis, gene set enrichment analysis, and nomogram, a prognostic signature with metabolic lncRNAs as prognostic factors was constructed.

resultsNine prognostic factors included lncRNA AC009779.2, lncRNA AL591895.1, lncRNA AC026271.3, lncRNA LPP-AS2, lncRNA LINC01857, lncRNA AP005264.1, lncRNA LINC02454, lncRNA AL133338.1, and lncRNA AC135178.5, respectively. Survival analysis indicated that alterations of specific lncRNA expression were strongly correlated with poor prognosis in osteosarcoma. Univariate and multivariate independent prognostic analysis showed that the prognostic signature had a good independent predictive ability for patient survival. The results of GSEA suggested that these predictors may be involved in the metabolism of certain substances or energy in cancer. The nomogram was further drawn for clinical guidance and assistance in clinical decision-making.

conclusionsThis study identified multiple metabolism-related lncRNAs, which may be novel therapeutic targets for osteosarcoma, and contributed to better explore the specific metabolic regulatory mechanisms of lncRNA in osteosarcoma.

Indexed as

OsteosarcomaRNA, Long NoncodingAdolescentBiomarkers, TumorChildGene Expression Regulation, NeoplasticHumansPrognosisBiomarkers, TumorRNA, Long NoncodingGSEAMetabolism-related lncRNAOsteosarcomaPrognosis signature

Identifiers

PMID34425868
PMCPMC8381543

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