Evidence map›Paper›PMID 33564309›Full record

ArticleJournal of oncology2021

Identification and Analysis of Three Hub Prognostic Genes Related to Osteosarcoma Metastasis.

Jianye Tan, Haofeng Liang, Bingsheng Yang, Shuang Zhu, Guofeng Wu, Lutao Li, Zhengwei Liu, Lin Li, Weizhong Qi, Sijing Li and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

17 citing papers in PubMed, 20 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Jianye TanDepartment of Orthopedics, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Haofeng LiangDepartment of Orthopedics, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Bingsheng YangDepartment of Orthopedics, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Shuang ZhuDepartment of Orthopedics, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Guofeng WuDepartment of Orthopedics, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Lutao LiDepartment of Orthopedics, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Zhengwei LiuDepartment of Orthopedics, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Lin LiDepartment of Orthopedics, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Weizhong QiDepartment of Orthopedics, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Sijing LiDepartment of Orthopedics, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Lijun LinDepartment of Orthopedics, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0002-4077-1198
Zhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma (OS) often occurs in children and often undergoes metastasis, resulting in lower survival rates. Information on the complexity and pathogenic mechanism of OS is limited, and thus, the development of treatments involving alternative molecular and genetic targets is hampered. We categorized transcriptome data into metastasis and nonmetastasis groups, and 400 differential RNAs (230 messenger RNAs (mRNAs) and 170 long noncoding RNAs (lncRNAs)) were obtained by the edgeR package. Prognostic genes were identified by performing univariate Cox regression analysis and the Kaplan-Meier (KM) survival analysis. We then examined the correlation between the expression level of prognostic lncRNAs and mRNAs. Furthermore, microRNAs (miRNAs) corresponding to the coexpression of lncRNA-mRNA was predicted, which was used to construct a competitive endogenous RNA (ceRNA) regulatory network. Finally, multivariate Cox proportional risk regression analysis was used to identify hub prognostic genes. Three hub prognostic genes (ABCG8, LOXL4, and PDE1B) were identified as potential prognostic biomarkers and therapeutic targets for OS. Furthermore, transcriptions factors (TFs) (DBP, ESX1, FOS, FOXI1, MEF2C, NFE2, and OTX2) and lncRNAs (RP11-357H14.16, RP11-284N8.3, and RP11-629G13.1) that were able to affect the expression levels of genes before and after transcription were found to regulate the prognostic hub genes. In addition, we identified drugs related to the prognostic hub genes, which may have potential clinical applications. Immunohistochemistry (IHC) and quantitative real-time polymerase chain reaction (qRT-PCR) confirmed that the expression levels of ABCG8, LOXL4, and PDE1B coincided with the results of bioinformatics analysis. Moreover, the relationship between the hub prognostic gene expression and patient prognosis was also validated. Our study elucidated the roles of three novel prognostic biomarkers in the pathogenesis of OS as well as presenting a potential clinical treatment for OS.

Identifiers

PMID33564309
PMCPMC7867449
OpenAlexW3126312814

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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.