Evidence map›Paper›PMID 30221743›Full record

ArticleMolecular medicine reports2018

Identification of key genes and associated pathways in KIT/PDGFRA wild‑type gastrointestinal stromal tumors through bioinformatics analysis.

Wen-Jie Wang, Hong-Tao Li, Jian-Ping Yu, Yu-Min Li, Xiao-Peng Han, Peng Chen, Wen-Wen Yu, Wei-Kai Chen, Zuo-Yi Jiao, Hong-Bin Liu

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2018. 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
0.7field-weighted citation impact, top 29% 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, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
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 3 institutions in 1 country.

Wen-Jie WangSecond Clinical Medical College, Lanzhou University, Lanzhou, Gansu 730030, P.R. China.
Hong-Tao LiSecond Clinical Medical College, Lanzhou University, Lanzhou, Gansu 730030, P.R. China.
Jian-Ping YuSecond Clinical Medical College, Lanzhou University, Lanzhou, Gansu 730030, P.R. China.
Yu-Min LiSecond Clinical Medical College, Lanzhou University, Lanzhou, Gansu 730030, P.R. China.
Xiao-Peng HanSecond Clinical Medical College, Lanzhou University, Lanzhou, Gansu 730030, P.R. China.
Peng ChenDepartment of General Surgery, Lanzhou General Hospital of Chinese People's Liberation Army, Lanzhou, Gansu 730050, P.R. China.
Wen-Wen YuDepartment of General Surgery, Lanzhou General Hospital of Chinese People's Liberation Army, Lanzhou, Gansu 730050, P.R. China.
Wei-Kai ChenDepartment of General Surgery, Lanzhou General Hospital of Chinese People's Liberation Army, Lanzhou, Gansu 730050, P.R. China.
Zuo-Yi JiaoSecond Clinical Medical College, Lanzhou University, Lanzhou, Gansu 730030, P.R. China.
Hong-Bin LiuSecond Clinical Medical College, Lanzhou University, Lanzhou, Gansu 730030, P.R. China.
Lanzhou University · CNChinese People's Liberation Army · CNLanzhou University Second Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastrointestinal stromal tumors (GISTs) are the most common type of mesenchymal tumor in the gastrointestinal tract. The present study aimed to identify the potential candidate biomarkers that may be involved in the pathogenesis and progression of v‑kit Hardy‑Zuckerman 4 feline sarcoma viral oncogene homolog (KIT)/platelet‑derived growth factor receptor α (PDGFRA) wild‑type GISTs. A joint bioinformatics analysis was performed to identify the differentially expressed genes (DEGs) in wild‑type GIST samples compared with KIT/PDGFRA mutant GIST samples. Gene Ontology function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of DEGs was conducted using Database for Annotation, Visualization and Integrated Discovery and KEGG Orthology‑Based Annotation System (KOBAS) online tools, respectively. Protein‑protein interaction (PPI) networks of the DEGs were constructed using Search Tool for the Retrieval of Interacting Genes online tool and Cytoscape, and divided into sub‑networks using the Molecular Complex Detection (MCODE) plug‑in. Furthermore, enrichment analysis of DEGs in the modules was analyzed with KOBAS. In total, 546 DEGs were identified, including 238 upregulated genes primarily enriched in 'cell adhesion', 'biological adhesion', 'cell‑cell signaling', 'PI3K‑Akt signaling pathway' and 'ECM‑receptor interaction', while the 308 downregulated genes were predominantly involved in 'inflammatory response', 'sterol metabolic process' and 'fatty acid metabolic process', 'small GTPase mediated signal transduction', 'cAMP signaling pathway' and 'proteoglycans in cancer'. A total of 25 hub genes were obtained and four modules were mined from the PPI network, and sub‑networks also revealed these genes were primarily involved in significant pathways, including 'PI3K‑Akt signaling pathway', 'proteoglycans in cancer', 'pathways in cancer', 'Rap1 signaling pathway', 'ECM‑receptor interaction', 'phospholipase D signaling pathway', 'ras signaling pathway' and 'cGMP‑PKG signaling pathway'. These results suggested that several key hub DEGs may serve as potential candidate biomarkers for wild‑type GISTs, including phosphatidylinositol‑4,5‑bisphosphate 3‑kinase, catalytic subunit γ, insulin like growth factor 1 receptor, hepatocyte growth factor, thrombospondin 1, Erb‑B2 receptor tyrosine kinase 2 and matrix metallopeptidase 2. However, further experiments are required to confirm these results.

Indexed as

Biomarkers, TumorComputational BiologyGastrointestinal Stromal TumorsGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansNeoplasm ProteinsProtein Interaction MappingProtein Interaction MapsProto-Oncogene Proteins c-kitReceptor, Platelet-Derived Growth Factor alphaTranscriptomeBiomarkers, TumorKIT protein, humanNeoplasm ProteinsProto-Oncogene Proteins c-kitReceptor, Platelet-Derived Growth Factor alpha

Identifiers

PMID30221743
PMCPMC6172374
OpenAlexW2889862489

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.