Evidence map›Paper›PMID 27275818›Full record

ArticleInternational journal of molecular sciences2016

Gene Set-Based Functionome Analysis of Pathogenesis in Epithelial Ovarian Serous Carcinoma and the Molecular Features in Different FIGO Stages.

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

Open access · goldAbstract 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 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
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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 2 institutions in 1 country.

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.
Ming-Jie YangSchool of Medicine, National Yang-Ming University, Taipei 112, Taiwan. mjyang@vghtpe.gov.tw.
Cheng-Chang ChangDepartment of Obstetrics and Gynecology, Tri-Service General Hospital, National Defense Medical Center, Taipei 112, Taiwan. sundoor66@gmail.com.
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.
National Yang Ming Chiao Tung University · TWTri-Service General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serous carcinoma (SC) is the most common subtype of epithelial ovarian carcinoma and is divided into four stages by the Federation of Gynecologists and Obstetrics (FIGO) staging system. Currently, the molecular functions and biological processes of SC at different FIGO stages have not been quantified. Here, we conducted a whole-genome integrative analysis to investigate the functions of SC at different stages. The function, as defined by the GO term or canonical pathway gene set, was quantified by measuring the changes in the gene expressional order between cancerous and normal control states. The quantified function, i.e., the gene set regularity (GSR) index, was utilized to investigate the pathogenesis and functional regulation of SC at different FIGO stages. We showed that the informativeness of the GSR indices was sufficient for accurate pattern recognition and classification for machine learning. The function regularity presented by the GSR indices showed stepwise deterioration during SC progression from FIGO stage I to stage IV. The pathogenesis of SC was centered on cell cycle deregulation and accompanied with multiple functional aberrations as well as their interactions.

Indexed as

Gene Expression ProfilingTranscriptomeCarcinoma, Ovarian EpithelialCell Transformation, NeoplasticCluster AnalysisComputational BiologyCystadenocarcinoma, SerousDatabases, Nucleic AcidFemaleGene Expression Regulation, NeoplasticGene OntologyGene Regulatory NetworksHumansMachine LearningNeoplasms, Glandular and EpithelialNeoplasm Stagingepithelial serous ovarian cancerfunctiongene expression microarraygene setintegrative analysismachine learning

Identifiers

PMID27275818
PMCPMC4926420
OpenAlexW2410666091

What OpenQuestion holds

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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.