Evidence map›Paper›PMID 32293980›Full record

ArticleCell cycle (Georgetown, Tex.)2020

Identifying the hub gene in gastric cancer by bioinformatics analysis and in vitro experiments.

Feiran Wang, Qiang Xue, Dong Xu, Yasu Jiang, Chong Tang, Xianchen Liu

Open access · greenAbstract read
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.8field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. World journal of gastrointestinal oncology · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Collagen Family as Promising Biomarkers and Therapeutic Targets in Cancer.International journal of molecular sciences · 2022
    Review
  11. Morphological and Molecular Responses ofInternational journal of molecular sciences · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Article
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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

6 authors at 4 institutions in 1 country.

Feiran WangDepartment of General Surgery, Affiliated Hospital of Nantong University , Nantong, Jiangsu, China.
Qiang XueDepartment of Radiation Oncology, Affiliated Hospital of Nantong University , Nantong, Jiangsu, China.
Dong XuDepartment of General Surgery, Huai'an First People's Hospital , Huai'an, Jiangsu, China.
Yasu JiangDepartment of General Surgery, Affiliated Hospital 2 of Nantong University, Nantong University , Nantong, Jiangsu, China.
Chong TangDepartment of General Surgery, Affiliated Hospital 2 of Nantong University, Nantong University , Nantong, Jiangsu, China.
Xianchen LiuDepartment of Radiation Oncology, Affiliated Hospital of Nantong University , Nantong, Jiangsu, China.
Affiliated Hospital of Nantong University · CNHuaian First People’s Hospital · CNNantong University · CNSecond Affiliated Hospital of Nantong University

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) is one of the main causes of the high death rate in the world. But the molecular mechanisms of GC carcinogenesis remain little known. This study aimed to identify novel promising biomarkers of GC and reveal its potential molecular mechanisms by integrating bioinformatics analysis. We screened the overlapped differentially expressed genes (DEGs) of TCGA and several GEO datasets. Among these DEGs, we used protein-protein interactions network analysis to recognize the hub genes. Moreover, functional enrichment analysis including GO and KEGG pathway analysis and gene set enrichment analysis (GSEA) were performed to study the role of DEGs and potential underlying mechanisms of GC. Based on integrated bioinformatics analysis, SERPINH1, COL1A2, COL8A1, COL4A1, COL5A1, COL12A1, and COL1A1 were screened as candidate diagnostic marker genes. In addition, SERPINH1 was identified as a core gene in the regulation of GC development. Furthermore, we confirmed that SERPINH1 could promote the proliferation, migration, and cell cycle of GC cells. Our present study demonstrated that SERPINH1 was a core therapeutic biomarker in the regulation of candidate genes involved in GC progression.

Indexed as

Computational BiologyGene Regulatory NetworksApoptosisCell CycleCell Line, TumorCell MovementCell ProliferationGene Expression ProfilingGene Expression Regulation, NeoplasticGene OntologyHSP47 Heat-Shock ProteinsHumansProtein Interaction MappingStomach NeoplasmsTumor Stem Cell AssayUp-RegulationHSP47 Heat-Shock ProteinsSERPINH1 protein, humanbioinformaticsGastric cancermigrationproliferationserpinh1

Identifiers

PMID32293980
PMCPMC7469508
OpenAlexW3015561690

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.