Evidence map›Paper›PMID 32878513›Full record

ArticleThe Journal of international medical research2020

Transcriptome sequencing identifies genes associated with invasion of ovarian cancer.

Xiandong Peng, Min Yu, Jiazhou Chen

Open access · goldAbstract read
In one paragraph

Article in The Journal of international medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

12 citing papers in PubMed, 18 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

3 authors at 1 institution in 1 country.

Xiandong PengShanghai Ji Ai Genetics and IVF Institute, Obstetrics and Gynaecology Hospital of Fudan University, Shanghai, China.
Min YuShanghai Ji Ai Genetics and IVF Institute, Obstetrics and Gynaecology Hospital of Fudan University, Shanghai, China.
Jiazhou ChenShanghai Ji Ai Genetics and IVF Institute, Obstetrics and Gynaecology Hospital of Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0003-2969-8652
Obstetrics and Gynecology Hospital of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify key genes in ovarian cancer using transcriptome sequencing in two cell lines: MCV152 (benign ovarian epithelial tumour) and SKOV-3 (ovarian serous carcinoma).

methodsDifferentially expressed genes (DEGs) between SKOV-3 and MCV152 were identified. Candidate genes were assessed for enrichment in gene ontology function and Kyoto Encyclopaedia of Genes and Genomes pathway. Candidate gene expression in SKOV-3 and MCV152 cells was validated using Western blots.

resultsA total of 2020 upregulated and 1673 downregulated DEGs between SKOV3 and MCV152 cells were identified that were significantly enriched in the cell adhesion function. Upregulated DEGs, such as angiopoietin 2 (

conclusionCandidate genes enriched in cell adhesion, extracellular matrix-receptor interaction and PI3K-Akt signalling pathways were identified that may be closely associated with ovarian cancer invasion and potential targets for ovarian cancer treatment.

Indexed as

Ovarian NeoplasmsTranscriptomeFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene OntologyHumansPhosphatidylinositol 3-KinasesPlacenta Growth FactorProto-Oncogene MasMAS1 protein, humanPhosphatidylinositol 3-KinasesPlacenta Growth FactorProto-Oncogene MasGO functionKEGG pathwayOvarian cancerPI3Ktranscriptome sequencing

Identifiers

PMID32878513
PMCPMC7780583
OpenAlexW3082995690

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.