Evidence map›Paper›PMID 31692912›Full record

ArticleInternational journal of medical sciences2019

Investigating Novel Genes Potentially Involved in Endometrial Adenocarcinoma using Next-Generation Sequencing and Bioinformatic Approaches.

Feng-Hsiang Tang, Wei-An Chang, Eing-Mei Tsai, Ming-Ju Tsai, Po-Lin Kuo

Open access · goldAbstract read
In one paragraph

Article in International journal of medical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

18 citing papers in PubMed, 34 citations in OpenAlex.

  1. Trial
  2. Article
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  4. Brain metastases from endometrial carcinoma in two dogs.Veterinary research communications · 2025
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  5. Review
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  8. Frontiers in oncology · 2025
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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

5 authors at 3 institutions in 1 country.

Feng-Hsiang TangGraduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan.
Wei-An ChangGraduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan.
Eing-Mei TsaiDepartment of Obstetrics and Gynecology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan.
Ming-Ju TsaiGraduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan.
Po-Lin KuoGraduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan.
Kaohsiung Medical University · TWKaohsiung Municipal Ta-Tung Hospital · TWNational Sun Yat-sen University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endometrial cancer is one of the most common cancers in women worldwide, affecting more than 300,000 women annually. Dysregulated gene expression, especially those mediated by microRNAs, play important role in the development and progression of cancer. This study aimed to investigate differentially expressed genes in endometrial adenocarcinoma using next generation sequencing (NGS) and bioinformatics. The gene expression profiles and microRNA profiles of endometrial adenocarcinoma (cancer part) and normal endometrial tissue (non-cancer part) were assessed with NGS. We identified 56 significantly dysregulated genes, including 47 upregulated and 9 downregulated genes, in endometrial adenocarcinoma. Most of these genes were associated with defense response, response to stimulus, and immune system process, and further pathway analysis showed that human papillomavirus infection was the most significant pathway in endometrial adenocarcinoma. In addition, these genes were also associated with decreased cell death and survival as well as increased cellular movement. The analyses using Human Protein Atlas, identified 6 genes (

Indexed as

Gene Expression Regulation, NeoplasticAdenocarcinomaAgedBiomarkers, TumorComputational BiologyCystatin BDown-RegulationEndometrial NeoplasmsEndometriumFemaleFollow-Up StudiesGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansHydroxyprostaglandin DehydrogenasesKaplan-Meier Estimate15-hydroxyprostaglandin dehydrogenaseBiomarkers, TumorCSTB protein, humanCystatin BHydroxyprostaglandin DehydrogenasesMicroRNAsMIRN127 microRNA, humanMIRN218 microRNA, humanbioinformaticsCSTBendometrial cancerHPGDmiR-127-5pmiR-218-5pnext generation sequencingpapillomavirus

Identifiers

PMID31692912
PMCPMC6818189
OpenAlexW2976746448

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.