Evidence map›Paper›PMID 31173190›Full record

ArticleMolecular medicine reports2019

Identification of key candidate genes involved in melanoma metastasis.

Jia Chen, Fei Wu, Yu Shi, Degang Yang, Mingyuan Xu, Yongxian Lai, Yeqiang Liu

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

45 citing papers in PubMed, 69 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

7 authors at 2 institutions in 1 country.

Jia ChenDepartment of Dermatopathology, Tongji University Affiliated Shanghai Skin Disease Hospital, Shanghai 200443, P.R. China.
Fei WuDepartment of Dermatopathology, Tongji University Affiliated Shanghai Skin Disease Hospital, Shanghai 200443, P.R. China.
Yu ShiDepartment of Medical Cosmetology, Tongji University Affiliated Shanghai Skin Disease Hospital, Shanghai 200443, P.R. China.
Degang YangDepartment of Treatment, Tongji University Affiliated Shanghai Skin Disease Hospital, Shanghai 200443, P.R. China.
Mingyuan XuDepartment of Dermatopathology, Tongji University Affiliated Shanghai Skin Disease Hospital, Shanghai 200443, P.R. China.
Yongxian LaiDepartment of Dermatologic Surgery, Tongji University Affiliated Shanghai Skin Disease Hospital, Shanghai 200443, P.R. China.
Yeqiang LiuDepartment of Dermatopathology, Tongji University Affiliated Shanghai Skin Disease Hospital, Shanghai 200443, P.R. China.
Shanghai Skin Disease Hospital · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastasis is the most lethal stage of cancer progression. The present study aimed to investigate the underlying molecular mechanisms of melanoma metastasis using bioinformatics. Using the microarray dataset GSE8401 from the Gene Expression Omnibus database, which included 52 biopsy specimens from patients with melanoma metastasis and 31 biopsy specimens from patients with primary melanoma, differentially expressed genes (DEGs) were identified, subsequent to data preprocessing with the affy package, followed by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. A protein‑protein interaction (PPI) network was constructed. Mutated genes were analyzed with 80 mutated cases with melanoma from The Cancer Genome Atlas. The overall survival of key candidate DEGs, which were within a filtering of degree >30 criteria in the PPI network and involved three or more KEGG signaling pathways, and genes with a high mutation frequency were delineated. The expression analysis of key candidate DEGs, mutant genes and their associated genes were performed on UALCAN. Of the 1,187 DEGs obtained, 505 were upregulated and 682 were downregulated. 'Extracellular exosome' processes, the 'amoebiasis' pathway, the 'ECM‑receptor interaction' pathway and the 'focal adhesion' signaling pathway were significantly enriched and identified as important processes or signaling pathways. The overall survival analysis of phosphoinositide‑3‑kinase regulator subunit 3 (PIK3R3), centromere protein M (CENPM), aurora kinase A (AURKA), laminin subunit α 1 (LAMA1), proliferating cell nuclear antigen (PCNA), adenylate cyclase 1 (ADCY1), BUB1 mitotic checkpoint serine/threonine kinase (BUB1), NDC80 kinetochore complex component (NDC80) and protein kinase C α (PRKCA) in DEGs was statistically significant. Mutation gene analysis identified that BRCA1‑associated protein 1 (BAP1) had a higher mutation frequency and survival analysis, and its associated genes in the BAP1‑associated PPI network, including ASXL transcriptional regulator 1 (ASXL1), proteasome 26S subunit, non‑ATPase 3 (PSMD3), proteasome 26S subunit, non ATPase 11 (PSMD11) and ubiquitin C (UBC), were statistically significantly associated with the overall survival of patients with melanoma. The expression levels of PRKCA, BUB1, BAP1 and ASXL1 were significantly different between primary melanoma and metastatic melanoma. Based on the present study, 'extracellular exosome' processes, 'amoebiasis' pathways, 'ECM‑receptor interaction' pathways and 'focal adhesion' signaling pathways may be important in the formation of metastases from melanoma. The involved genes, including PIK3R3, CENPM, AURKA, LAMA1, PCNA, ADCY1, BUB1, NDC80 and PRKCA, and mutation associated genes, including BAP1, ASXL1, PSMD3, PSMD11 and UBC, may serve important roles in metastases of melanoma.

Indexed as

Gene Expression Regulation, NeoplasticGene Regulatory NetworksAdenylyl CyclasesAurora Kinase ACell Cycle ProteinsCytoskeletal ProteinsDatabases, GeneticGene Expression ProfilingGene OntologyHumansLamininMelanomaMolecular Sequence AnnotationMutationNeoplasm MetastasisNeoplasm Proteinsadenylyl cyclase 1Adenylyl CyclasesAURKA protein, humanAurora Kinase ABUB1 protein, humanCell Cycle ProteinsCENPM protein, humanCytoskeletal ProteinsLamininlaminin ANDC80 protein, humanNeoplasm ProteinsPCNA protein, humanPhosphatidylinositol 3-KinasesPIK3R3 protein, humanProliferating Cell Nuclear AntigenProtein Serine-Threonine Kinases

Identifiers

PMID31173190
PMCPMC6625188
OpenAlexW2947767219

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.