Evidence map›Paper›PMID 32972417›Full record

ArticleBMC medical genomics2020

Identification of key genes and functions of circulating tumor cells in multiple cancers through bioinformatic analysis.

Yibing Guan, Fangshi Xu, Yiyuan Wang, Juanhua Tian, Ziyan Wan, Zhenlong Wang, Tie Chong

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  10. Circulating tumor cells: biology and clinical significance.Signal transduction and targeted therapy · 2021
    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

7 authors at 2 institutions in 1 country.

Yibing GuanDepartment of Urology, the Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, No 157 Xiwu Road, Xi'an, 710004, Shaan Xi Province, China.
Fangshi XuDepartment of Urology, the Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, No 157 Xiwu Road, Xi'an, 710004, Shaan Xi Province, China.
Yiyuan WangDepartment of Stomatology, the Second Affiliated Hospital of Shaanxi University of Traditional Chinese Medicine, Xianyang, China.
Juanhua TianDepartment of Urology, the Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, No 157 Xiwu Road, Xi'an, 710004, Shaan Xi Province, China.
Ziyan WanDepartment of Urology, the Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, No 157 Xiwu Road, Xi'an, 710004, Shaan Xi Province, China.
Zhenlong WangDepartment of Urology, the Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, No 157 Xiwu Road, Xi'an, 710004, Shaan Xi Province, China.
Tie ChongDepartment of Urology, the Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, No 157 Xiwu Road, Xi'an, 710004, Shaan Xi Province, China. chongtie@126.com.ORCID 0000-0002-2035-6544
Second Affiliated Hospital of Xi'an Jiaotong University · CNAffiliated Hospital of Shaanxi University of Chinese Medicine · CN

Funding

Xi'an science and technology planning project 201805096YX4SF30
6 · The paper itself

Abstract

backgroundCirculating tumor cells (CTCs) play a key role in cancer progression, especially metastasis, due to the rarity and heterogeneity of CTCs, fewer researches have been conducted on them at the molecular level. However, through the Gene Expression Omnibus (GEO) database, this kind of minority researches can be well integrated, the gene expression differences between CTCs and primary tumors can be identified, and molecular targets for CTCs can be found.

methodsWe analyzed 7 sets of gene chips (GSE82198, GSE99394, GSE31023, GSE65505, GSE67982, GSE76250, GSE50746) obtained by GEO. Analysis of differentially expressed genes (DEGs) between CTCs and corresponding primary tumors by NetworkAnalyst. Metascape tool for Gene Ontology (GO) / Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of differential genes and visual display. Cytoscape performs protein-protein interaction (PPI) analysis and obtains the hub genes. Renal cancer patients' clinical specimens to verify the correctness of enrichment results. Prognostic analysis of hub genes in kidney cancer patients using the Kaplan-Meier plotter survival analysis tool.

resultsWe obtained a total of 589 DEGs. The GO / KEGG enrichment results indicate that the DEGs are mainly concentrated in cell adhesion, epithelial-mesenchymal transition (EMT), and apoptosis. Renal cancer clinical specimens suggest that CTCs have epithelial and mesenchymal types. At the same time, PSMC2 can be used as a poor prognostic indicator for renal cancer patients.

conclusionsIn summary, our study suggests that compared with primary tumors, CTCs mainly change cell adhesion, EMT, and apoptosis. PSMC2 can be used as a poor prognostic factor.

Indexed as

Gene Expression Regulation, NeoplasticApoptosisATPases Associated with Diverse Cellular ActivitiesBiomarkers, TumorCell ProliferationComputational BiologyHumansKidney NeoplasmsNeoplasmsNeoplastic Cells, CirculatingPrognosisProteasome Endopeptidase ComplexSurvival RateTumor Cells, CulturedATPases Associated with Diverse Cellular ActivitiesBiomarkers, TumorProteasome Endopeptidase ComplexPSMC2 protein, humanCancerEMTExpression profiling dataHub genesPSMC2

Identifiers

PMID32972417
PMCPMC7513313
OpenAlexW3088287530

What OpenQuestion holds

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LicenceCC BY
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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.