Evidence map›Paper›PMID 30982140›Full record

ArticlePathology oncology research : POR2020

Identification of Pathogenic Genes and Transcription Factors in Osteosarcoma.

Chenggang Yang, Di Huang, Cui Ma, Jing Ren, Lina Fu, Cheng Cheng, Bangling Li, Xiaofeng Shi

Abstract read
PubMed Publisher
In one paragraph

Article in Pathology oncology research : POR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Predictive Study of the Active Ingredients and Potential Targets ofEvidence-based complementary and alternative medicine : eCAM · 2021
    Article
  4. Implication ofMolecular cancer therapeutics · 2020
    Article
  5. Article
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

8 authors at 2 institutions in 3 countries.

Chenggang YangGu'an Bojian Bio-Technology Co., LTD, Langfang, China.
Di HuangGu'an Bojian Bio-Technology Co., LTD, Langfang, China.
Cui MaGu'an Bojian Bio-Technology Co., LTD, Langfang, China.
Jing RenDepartment of BigData, Beijing Medintell Bioinformatic Technology Co., LTD, No. 1, Shanyuan Street, Haidian District, Beijing, 100081, China.
Lina FuDepartment of BigData, Beijing Medintell Bioinformatic Technology Co., LTD, No. 1, Shanyuan Street, Haidian District, Beijing, 100081, China.
Cheng ChengDepartment of BigData, Beijing Medintell Bioinformatic Technology Co., LTD, No. 1, Shanyuan Street, Haidian District, Beijing, 100081, China.
Bangling LiSchool of biotechnology, Jiangnan University, Wuxi, China.
Xiaofeng ShiGu'an Bojian Bio-Technology Co., LTD, Langfang, China. shi.xiaofeng@medintell.com.ORCID http://orcid.org/0000-0003-1484-4426
BioSurfaces (United States) · USJiangnan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma (OS) is an aggressive malignant tumor of the bones. Our study intended to identify and analyze potential pathogenic genes and upstream regulators for OS. We performed an integrated analysis to identify candidate pathogenic genes of OS by using three Gene Expression Omnibus (GEO) databases (GSE66673, GSE49003 and GSE37552). GO and KEGG enrichment analysis were utilized to predict the functional annotation and potential pathways of differentially expressed genes (DEGs). The OS-specific transcriptional regulatory network was established to study the crucial transcriptional factors (TFs) which target the DEGs in OS. From the three GEO datasets, we identified 759 DEGs between metastasis OS samples and non-metastasis OS samples. After GO and KEGG analysis, 'cell adhesion' (FDR = 1.27E-08), 'protein binding' (FDR = 1.13E-22), 'cytoplasm' (FDR = 5.63E-32) and 'osteoclast differentiation' (FDR = 0.000992221) were significantly enriched pathways for DEGs. HSP90AA1 exhibited a highest degree (degree = 32) and was enriched in 'pathways in cancer' and 'signal transduction'. BMP6, regulated by Pax-6, was enriched in the 'TGF-beta signaling pathway'. We indicated that BMP6 may be downregulated by Pax-6 in the non-metastasis OS samples. The up-regulated HSP90AA1 and down-regulated BMP6 and 'pathways in cancer' and 'signal transduction' were deduced to be involved in the pathogenesis of OS. The identified biomarkers and biological process in OS may provide foundation for further study.

Indexed as

Biomarkers, TumorBone Morphogenetic Protein 6Bone NeoplasmsGene Expression ProfilingGene Regulatory NetworksHSP90 Heat-Shock ProteinsHumansOsteosarcomaSignal TransductionTranscription FactorsBiomarkers, TumorBMP6 protein, humanBone Morphogenetic Protein 6HSP90AA1 protein, humanHSP90 Heat-Shock ProteinsTranscription FactorsDEGsIntegrated analysisOsteosarcomaTranscription factors

Identifiers

PMID30982140
OpenAlexW2939517667

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.