Evidence map›Paper›PMID 35054979›Full record

ArticleInternational journal of molecular sciences2022

Identification of Core Genes and Pathways in Melanoma Metastasis via Bioinformatics Analysis.

Renjian Xie, Bifei Li, Lee Jia, Yumei Li

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
11.5field-weighted citation impact, top 1% 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

60 citing papers in PubMed, 113 citations in OpenAlex.

  1. Article
  2. Autophagy in Melanoma: Molecular Mechanisms and Therapeutic Perspectives.International journal of molecular sciences · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Mutation-informed gene pairs to predict melanoma metastasis.Cell communication and signaling : CCS · 2026
    Article
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  15. 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

4 authors at 2 institutions in 1 country.

Renjian XieKey Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou 341000, China.ORCID 0000-0002-0523-9702
Bifei LiInstitute of Oceanography, Minjiang University, Fuzhou 350108, China.
Lee JiaInstitute of Oceanography, Minjiang University, Fuzhou 350108, China.
Yumei LiKey Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou 341000, China.ORCID 0000-0002-7910-6515
Gannan Medical University · CNMinjiang University · CN

Funding

the doctoral startup fund of Gannan Medical University QD202132 and QD202136
6 · The paper itself

Abstract

Metastasis is the leading cause of melanoma-related mortality. Current therapies are rarely curative for metastatic melanoma, revealing the urgent need to identify more effective preventive and therapeutic targets. This study aimed to screen the core genes and molecular mechanisms related to melanoma metastasis. A gene expression profile, GSE8401, including 31 primary melanoma and 52 metastatic melanoma clinical samples, was downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) between melanoma metastases and primary melanoma were screened using GEO2R tool. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genome (KEGG) analyses of DEGs were performed using the Database for Annotation Visualization and Integrated Discovery (DAVID). The Search Tool for the Retrieval of Interacting Genes (STRING) and Cytoscape with Molecular Complex Detection (MCODE) plug-in tools were utilized to detect the protein-protein interaction (PPI) network among DEGs. The top 10 genes with the highest degrees of the PPI network were defined as hub genes. In the results, 425 DEGs, including 60 upregulated genes and 365 downregulated genes, were identified. The upregulated genes were enriched in ECM-receptor interactions and the regulation of actin cytoskeleton, while 365 downregulated genes were enriched in amoebiasis, melanogenesis, and ECM-receptor interactions. The defined hub genes included

Indexed as

Biomarkers, TumorComputational BiologyGene Expression Regulation, NeoplasticSignal TransductionTranscriptomeDatabases, GeneticGene Expression ProfilingGene OntologyHumansMelanomaNeoplasm GradingNeoplasm MetastasisNeoplasm StagingProtein Interaction MappingProtein Interaction MapsReproducibility of ResultsBiomarkers, Tumorbioinformatics analysisdifferentially expressed geneshub geneKRT5melanoma metastasis

Identifiers

PMID35054979
PMCPMC8775799
OpenAlexW4205688086

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.