Evidence map›Paper›PMID 27527159›Full record

ArticleInternational journal of molecular sciences2016

Gene Set-Based Integrative Analysis Revealing Two Distinct Functional Regulation Patterns in Four Common Subtypes of Epithelial Ovarian Cancer.

Chia-Ming Chang, Chi-Mu Chuang, Mong-Lien Wang, Yi-Ping Yang, Jen-Hua Chuang, Ming-Jie Yang, Ming-Shyen Yen, Shih-Hwa Chiou, Cheng-Chang Chang

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Immunology and ovarian cancers.Journal of the Chinese Medical Association : JCMA · 2020
    Review
  6. Article
  7. The recent progress and therapy in endometriosis-associated ovarian cancer.Journal of the Chinese Medical Association : JCMA · 2020
    Review
  8. Article
  9. Article
  10. Review
  11. Article
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

9 authors.

Chia-Ming ChangInstitute of Oral Biology, National Yang-Ming University, Taipei 112, Taiwan. cm_chang@vghtpe.gov.tw.
Chi-Mu ChuangSchool of Medicine, National Yang-Ming University, Taipei 112, Taiwan. cmjuang@gmail.com.
Mong-Lien WangSchool of Medicine, National Yang-Ming University, Taipei 112, Taiwan. monglien@gmail.com.
Yi-Ping YangDepartment of Obstetrics and Gynecology, Taipei Veterans General Hospital, Taipei 112, Taiwan. molly0103@gmail.com.
Jen-Hua ChuangSchool of Medicine, National Yang-Ming University, Taipei 112, Taiwan. chuangjenhua5@gmail.com.
Ming-Jie YangSchool of Medicine, National Yang-Ming University, Taipei 112, Taiwan. mjyang@vghtpe.gov.tw.
Ming-Shyen YenSchool of Medicine, National Yang-Ming University, Taipei 112, Taiwan. msyen@vghtpe.gov.tw.
Shih-Hwa ChiouInstitute of Oral Biology, National Yang-Ming University, Taipei 112, Taiwan. shchiou@vghtpe.gov.tw.
Cheng-Chang ChangDepartment of Obstetrics and Gynecology, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, Taiwan. obsgynchang@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clear cell (CCC), endometrioid (EC), mucinous (MC) and high-grade serous carcinoma (SC) are the four most common subtypes of epithelial ovarian carcinoma (EOC). The widely accepted dualistic model of ovarian carcinogenesis divided EOCs into type I and II categories based on the molecular features. However, this hypothesis has not been experimentally demonstrated. We carried out a gene set-based analysis by integrating the microarray gene expression profiles downloaded from the publicly available databases. These quantified biological functions of EOCs were defined by 1454 Gene Ontology (GO) term and 674 Reactome pathway gene sets. The pathogenesis of the four EOC subtypes was investigated by hierarchical clustering and exploratory factor analysis. The patterns of functional regulation among the four subtypes containing 1316 cases could be accurately classified by machine learning. The results revealed that the ERBB and PI3K-related pathways played important roles in the carcinogenesis of CCC, EC and MC; while deregulation of cell cycle was more predominant in SC. The study revealed that two different functional regulation patterns exist among the four EOC subtypes, which were compatible with the type I and II classifications proposed by the dualistic model of ovarian carcinogenesis.

Indexed as

Gene Expression Regulation, NeoplasticGenes, NeoplasmCarcinoma, Ovarian EpithelialDatabases, GeneticDown-RegulationFactor Analysis, StatisticalFemaleGene OntologyGene Regulatory NetworksHumansMachine LearningNeoplasms, Glandular and EpithelialOligonucleotide Array Sequence AnalysisOvarian NeoplasmsTranscriptomeUp-Regulationepithelial ovarian cancerfunctiongene expression microarraygene setintegrative analysismachine learning

Identifiers

PMID27527159
PMCPMC5000670

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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.