Evidence map›Paper›PMID 33015161›Full record

ArticleBioMed research international2020

Comprehensive Analysis of a ceRNA Network Identifies lncR-C3orf35 Associated with Poor Prognosis in Osteosarcoma.

Yi Shi, Jianhua Ren, Ze Zhuang, Wenhui Zhang, Zhe Wang, Yuangao Liu, Jinze Li, Tangzhao Liang, Ronghan He, Kun Wang

Open access · hybridAbstract read
In one paragraph

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 56% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. 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

10 authors at 1 institution in 1 country.

Yi ShiDepartment of Joint and Trauma Surgery, Third Affiliated Hospital of Sun Yat-sen University, China.
Jianhua RenDepartment of Joint and Trauma Surgery, Third Affiliated Hospital of Sun Yat-sen University, China.
Ze ZhuangDepartment of Joint and Trauma Surgery, Third Affiliated Hospital of Sun Yat-sen University, China.
Wenhui ZhangDepartment of Joint and Trauma Surgery, Third Affiliated Hospital of Sun Yat-sen University, China.
Zhe WangDepartment of Joint and Trauma Surgery, Third Affiliated Hospital of Sun Yat-sen University, China.
Yuangao LiuDepartment of Joint and Trauma Surgery, Third Affiliated Hospital of Sun Yat-sen University, China.
Jinze LiDepartment of Joint and Trauma Surgery, Third Affiliated Hospital of Sun Yat-sen University, China.
Tangzhao LiangDepartment of Joint and Trauma Surgery, Third Affiliated Hospital of Sun Yat-sen University, China.
Ronghan HeDepartment of Joint and Trauma Surgery, Third Affiliated Hospital of Sun Yat-sen University, China.ORCID https://orcid.org/0000-0001-6331-438X
Kun WangDepartment of Joint and Trauma Surgery, Third Affiliated Hospital of Sun Yat-sen University, China.ORCID https://orcid.org/0000-0003-1396-6325
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma is a highly malignant bone cancer which primarily occurs in children and young adults. Increasing evidence indicates that long noncoding RNAs (lncRNAs), which function as competing endogenous RNAs (ceRNAs) that sponge microRNAs (miRNAs) and messenger RNAs (mRNAs), play a pivotal role in the pathogenesis and progression of cancers. The regulatory mechanisms of lncRNA-mediated ceRNAs in osteosarcoma have not been fully elucidated. In this study, we identified differentially expressed lncRNAs, miRNAs, and mRNAs in osteosarcoma based on RNA microarray profiles in the Gene Expression Omnibus (GEO) database. A ceRNA network was constructed utilizing bioinformatic tools. Kaplan-Meier survival analysis showed that lncR-C3orf35 and HMGB1 were associated with poor prognosis of osteosarcoma patients. Furthermore, results of Gene Set Enrichment Analysis (GSEA) suggested that lncR-C3orf35 may be involved in cellular invasion, the Toll-like receptor signaling pathway, and immune cell infiltration in the tumor microenvironment. Further analysis showed that patients with osteosarcoma metastasis expressed higher levels of lncR-C3orf35 and HMGB1 compared to metastasis-free patients. Moreover, the metastasis-free survival rate of the high lncR-C3orf35/HMGB1 expression group was significantly lower than that of the low expression group. The ESTIMATE algorithm was used to calculate the immune score and stromal scores for each sample. High lncR-C3orf35 and HMGB1 levels were correlated with low immune scores. ImmuCellAI analysis revealed that a low proportion of macrophage infiltration was associated with high lncR-C3orf35 and HMGB1 expression. The differential expression of lncR-C3orf35, miR-142-3p, and HMGB1 was further verified by quantitative real-time PCR. This study indicates that lncR-C3orf35 could be considered as a novel potential biomarker and therapeutic target of osteosarcoma, which may contribute to a better understanding of ceRNA regulatory mechanisms.

Indexed as

AdolescentAdultBiomarkers, TumorChildFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene OntologyGene Regulatory NetworksHumansKaplan-Meier EstimateMaleMicroarray AnalysisOsteosarcomaPrognosisRNA, Long NoncodingBiomarkers, TumorRNA, Long Noncoding

Identifiers

PMID33015161
PMCPMC7525295
OpenAlexW3087068496

What OpenQuestion holds

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LicenceCC BY
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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.