Evidence map›Paper›PMID 32583000›Full record

ArticleOncology reports2020

Minichromosome maintenance 6 complex component identified by bioinformatics analysis and experimental validation in esophageal squamous cell carcinoma.

Xuebing Li, Zhenzhen Ren, Chao Xiong, Jie Geng, Yuqing Li, Cong Liu, Chunfeng Ren, Hongchun Liu

Open access · hybridAbstract read
In one paragraph

Article in Oncology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 1 country.

Xuebing LiDepartment of Medical Laboratory, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China.
Zhenzhen RenDepartment of Medical Laboratory, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China.
Chao XiongDepartment of Medical Laboratory, The Second Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou, Henan 450000, P.R. China.
Jie GengDepartment of Medical Laboratory, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China.
Yuqing LiDepartment of Medical Laboratory, The Second Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou, Henan 450000, P.R. China.
Cong LiuDepartment of Medical Laboratory, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China.
Chunfeng RenDepartment of Medical Laboratory, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China.
Hongchun LiuDepartment of Medical Laboratory, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China.
First Affiliated Hospital of Zhengzhou University · CNHenan University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal squamous cell carcinoma (ESCC), the main subtype of esophageal cancer (EC), is a common lethal type of cancer with a high mortality rate. The aim of the present study was to select key relevant genes and identify potential mechanisms involved in the development of ESCC based on bioinformatics analysis. Minichromosome maintenance 6 complex component (MCM6) has been identified to be upregulated in multiple malignancies; however, its contributions to ESCC remain unclear. For the purposes of the present study, four datasets were downloaded from the Gene Expression Omnibus (GSE63941, GSE26886, GSE17351 and GSE77861), and the intersection of the differentially expressed genes was obtained using a Venn diagram. The protein‑protein interaction was then constructed, and the modules were verified by Cytoscape, in which the key genes have a high connectivity degree with other genes. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway were subsequently filtered out to analyze the development of ESCC. MCM6, an upregulated gene, was selected and connected with most of the other genes, for further research validation. The expression levels of MCM6 were then assessed using the Oncomine, GEPIA and UALCAN databases and validated in both ESCC tissues samples and cell lines by immunohistochemistry and RT‑qPCR. Cell counting kit‑8 (CCK‑8), flow cytometry, wound healing and Transwell assays were used to determine the proliferation, apoptosis, cell cycle, migration and invasion of ESCC cells. A total of 24 genes were identified by a series of bioinformatics analyses and the results revealed that the genes were associated with DNA replication and cell cycle. Experimental validation revealed that MCM6 expression was significantly elevated in both ESCC tissues and cell lines. The results were consistent with those of bioinformatics analysis. Furthermore, the knockdown of MCM6 inhibited cell proliferation, migration and invasion and promoted cell apoptosis, and made cells arrested in S stage. In summary, the findings of bioinformatics analysis provided a novel hypothesis for ESCC progression. In particular, the aberrantly elevated expression of MCM6 is a potential biomarker for ESCC diagnosis and treatment.

Indexed as

Cell Line, TumorCell MovementCell SurvivalComputational BiologyDatabases, GeneticDisease ProgressionDown-RegulationEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaFemaleHumansImmunohistochemistryMaleMiddle AgedMinichromosome Maintenance Complex Component 6Neoplasm StagingMCM6 protein, humanMinichromosome Maintenance Complex Component 6bioinformatics analysisdifferentially expressed genesesophageal squamous cell carcinomaexperimental validationGEO databaseminichromosome maintenance complex component 6

Identifiers

PMID32583000
PMCPMC7388536
OpenAlexW3036665441

What OpenQuestion holds

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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.