Evidence map›Paper›PMID 32555395›Full record

ArticleScientific reports2020

Identification of core genes in the progression of endometrial cancer and cancer cell-derived exosomes by an integrative analysis.

Shuang Shi, Qiang Tan, Fuqiang Feng, Heping Huang, Jingjie Liang, Dingren Cao, Zhengguang Wang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 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 1 institution in 1 country.

Shuang Shi *College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang, P. R. China.
Qiang Tan *College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang, P. R. China. tq19952010@126.com.
Fuqiang FengAgricultural Economic Service Center of Wuzhen Town, Tongxiang, Zhejiang, P. R. China.
Heping HuangCollege of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang, P. R. China.
Jingjie LiangCollege of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang, P. R. China.
Dingren CaoCollege of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang, P. R. China.
Zhengguang WangCollege of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang, P. R. China. wzhguang68@zju.edu.cn.
Zhejiang University · CN

Funding

NIEHS NIH HHS 27304C2054
6 · The paper itself

Abstract

Endometrial cancer is one of the most prevalent tumors of the female reproductive system causing serious health effects to women worldwide. Although numerous studies, including analysis of gene expression profile and cellular microenvironment have been reported in this field, pathogenesis of this disease remains unclear. In this study, we performed a system bioinformatics analysis of endometrial cancer using the Gene Expression Omnibus (GEO) datasets (GSE17025, GSE63678, and GSE115810) to identify the core genes. In addition, exosomes derived from endometrial cancer cells were also isolated and identified. First, we analyzed the differentially expressed genes (DEGs) between endometrial cancer tissues and normal tissues in clinic samples. We found that HAND2-AS1, PEG3, OGN, SFRP4, and OSR2 were co-expressed across all 3 datasets. Pathways analysis showed that several pathways associated with endometrial cancer, including "p53 signaling pathway", "Glutathione metabolism", "Cell cycle", and etc. Next, we selected DEGs with highly significant fold change and co-expressed across the 3 datasets and validated them in the TCGA database using Gene Expression Profiling Interactive Analysis (GEPIA). Finally, we performed a survival analysis and identified four genes (TOP2A, ASPM, EFEMP1, and FOXL2) that play key roles in endometrial cancer. We found up-regulation of TOP2A and ASPM in endometrial cancer tissues or cells, while EFEMP1 and FOXL2 were down-regulated. Furthermore, we isolated exosomes from the culturing supernatants of endometrial cancer cells (Ishikawa and HEC-1-A) and found that miR-133a, which regulates expression of FOXL2, were present in exosomes and that they could be delivered to normal endometrial cells. The common DEGs, pathways, and exosomal miRNAs identified in this study might play an important role in progression as well as diagnosis of endometrial cancer. In conclusion, our results provide insights into the pathogenesis and risk assessment of endometrial cancer. Even so, further studies are required to elucidate on the precise mechanism of action of these genes in endometrial cancer.

Indexed as

Disease ProgressionSystems BiologyCell Line, TumorDatabases, GeneticEndometrial NeoplasmsExosomesFemaleGene Expression ProfilingHumans

Identifiers

PMID32555395
PMCPMC7299953
OpenAlexW3036148659

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.