Evidence map›Paper›PMID 30816442›Full record

ArticleInternational journal of molecular medicine2019

Identification of biomarkers associated with the recurrence of osteosarcoma using ceRNA regulatory network analysis.

Shanyong Zhang, Lei Ding, Xin Li, Hongwu Fan

Open access · hybridAbstract read
In one paragraph

Article in International journal of molecular medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.8field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
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  8. Immuno-Modulatory Effects of Intervertebral Disc Cells.Frontiers in cell and developmental biology · 2022
    Review
  9. Article
  10. The Potential Role of Small Nucleolar RNAs in Cancers - An Evidence Map.International journal of general medicine · 2022
    Review
  11. Article
  12. Article
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  15. Article
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  17. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Shanyong ZhangDepartment of Spinal Surgery, The Second Hospital of Jilin University, Changchun, Jilin 130041, P.R. China.
Lei DingDepartment of Rehabilitation, The Second Hospital of Jilin University, Changchun, Jilin 130041, P.R. China.
Xin LiDepartment of Joint Surgery, The Second Hospital of Jilin University, Changchun, Jilin 130041, P.R. China.
Hongwu FanDepartment of Orthopedics, China Japan Union Hospital of Jilin University, Changchun, Jilin 130021, P.R. China.
Second Affiliated Hospital of Jilin University · CNJilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to identify the important mRNAs, micro (mi)RNAs and long non‑coding (lnc)RNAs that are associated with osteosarcoma recurrence. The GSE3905 dataset, which contains two sub‑datasets (GSE39040 and GSE39055), was downloaded from the Gene Expression Omnibus (GEO). Prognosis‑associated RNAs were identified by performing Cox regression univariate analysis and were subsequently used to construct a competing endogenous (ce)RNA regulatory network for Gene Set Enrichment Analysis (GSEA). Kaplan‑Meier survival analysis was used to determine the associations between expression levels and survival prognosis. In addition, another independent miRNA profile, GSE79181, was downloaded from GEO for validation. Among the differentially expressed RNAs, 417 RNAs (5 lncRNAs, 19 miRNAs, and 393 mRNAs) were observed to be associated with prognosis. The GSEA for the ceRNA regulatory network revealed that 'Mitogen‑activated protein kinase (MAPK) signaling pathway', 'Chemokine signaling pathway' and 'Spliceosome' were markedly associated with osteosarcoma. In addition, three lncRNAs [long intergenic non‑protein coding RNA 28 (LINC00028), LINC00323, and small nucleolar RNA host gene 1 (SNHG1)] and two miRNAs (hsa‑miR‑124 and hsa‑miR‑7) regulating three mRNAs [Ras‑related protein Rap‑1b (RAP1B), activating transcription factor 2 (ATF2) and protein phosphatase Mg2+/Mn2+ dependent 1B (PPM1B)] participated in the MAPK signaling pathway. The Kaplan‑Meier survival analysis also demonstrated that samples with lower expression levels of LINC00323 and SNHG1 had better prognosis, and samples with increased expression levels of LINC00028, hsa‑miR‑124 and hsa‑miR‑7 had better prognosis. Overexpression of RAP1B, ATF2 and PPM1B was positively associated with osteosarcoma recurrence. The roles of hsa‑miR‑124 and hsa‑miR‑7 in osteosarcoma recurrence were also validated using GSE79181. Thus, in conclusions, the three lncRNAs (LINC00028, LINC00323 and SNHG1), two miRNAs (hsa‑miR‑124 and hsa‑miR‑7) and three mRNAs (RAP1B, ATF2, and PPM1B) were associated with osteosarcoma recurrence.

Indexed as

Gene Regulatory NetworksBiomarkers, TumorCluster AnalysisGene Expression Regulation, NeoplasticGene OntologyHumansKaplan-Meier EstimateMAP Kinase Signaling SystemMicroRNAsNeoplasm Recurrence, LocalOsteosarcomaPrognosisReproducibility of ResultsRNA, Long NoncodingRNA, MessengerRNA, NeoplasmBiomarkers, TumorMicroRNAsRNA, Long NoncodingRNA, MessengerRNA, Neoplasm

Identifiers

PMID30816442
PMCPMC6414158
OpenAlexW2917542443

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.