Evidence map›Paper›PMID 30356023›Full record

ArticleInternational journal of molecular sciences2018

Key Immunological Functions Involved in the Progression of Epithelial Ovarian Serous Carcinoma Discovered by the Gene Ontology-Based Immunofunctionome Analysis.

Cheng-Chang Chang, Kuo-Min Su, Kai-Hsi Lu, Chi-Kang Lin, Peng-Hui Wang, Hsin-Yang Li, Mong-Lien Wang, Cheng-Kuo Lin, Mu-Hsien Yu, Chia-Ming Chang

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2018. 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
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

12 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Immunology and ovarian cancers.Journal of the Chinese Medical Association : JCMA · 2020
    Review
  10. Aberrant sialylation in ovarian cancers.Journal of the Chinese Medical Association : JCMA · 2020
    Review
  11. Article
  12. 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

10 authors at 4 institutions in 1 country.

Cheng-Chang ChangDepartment of Obstetrics and Gynecology, Tri-service General Hospital, National Defense Medical Center, Taipei 114, Taiwan. obsgynchang@gmail.com.ORCID 0000-0002-7356-446X
Kuo-Min SuDepartment of Obstetrics and Gynecology, Tri-service General Hospital, National Defense Medical Center, Taipei 114, Taiwan. aeolusfield@hotmail.com.
Kai-Hsi LuDepartment of Medical Research and Education, Cheng-Hsin Hospital, Taipei 112, Taiwan. kung568@gmail.com.
Chi-Kang LinDepartment of Obstetrics and Gynecology, Tri-service General Hospital, National Defense Medical Center, Taipei 114, Taiwan. hsienhui@ms15.hinet.net.
Peng-Hui WangSchool of Medicine, National Yang-Ming University, Taipei 112, Taiwan. phwang@vghtpe.gov.tw.ORCID 0000-0002-6048-8541
Hsin-Yang LiSchool of Medicine, National Yang-Ming University, Taipei 112, Taiwan. doc3643h@yahoo.com.tw.
Mong-Lien WangDepartment of Medical Research and Education, Cheng-Hsin Hospital, Taipei 112, Taiwan. monglien@gmail.com.
Cheng-Kuo LinDepartment of Obstetrics and Gynecology, Taoyuan Armed Forces General Hospital, Taoyuan 325, Taiwan. medication0206@gmail.com.
Mu-Hsien YuDepartment of Obstetrics and Gynecology, Tri-service General Hospital, National Defense Medical Center, Taipei 114, Taiwan. hsienhui@ms15.hinet.net.
Chia-Ming ChangSchool of Medicine, National Yang-Ming University, Taipei 112, Taiwan. cm_chang@vghtpe.gov.tw.
National Yang Ming Chiao Tung University · TWCheng Hsin General Hospital · TWTaipei Veterans General Hospital · TWTaoyuan Armed Forces General Hospital · TW

Funding

Tri-Service General Hospital; MOST TSGH-C107-083, MOST 106-2314-B-016- 042
6 · The paper itself

Abstract

Serous carcinoma (SC) is the most common and lethal subtype of epithelial ovarian carcinoma; immunotherapy is a potential treatment for SC, however, the global immunological functions of SC as well as their change during the progression of SC have not been investigated in detail till now. We conducted a genome-wide integrative analysis to investigate the immunofunctionomes of SC at four tumor stages by quantifying the immunological functions defined by the Gene Ontology gene sets. DNA microarray gene expression profiles of 1100 SCs and 136 normal ovarian tissue controls were downloaded from the Gene Expression Omnibus database and converted to the functionome. Then the immunofunctionomes were reconstructed by extracting the offspring from the functionome for the four SC staging groups. The key immunological functions extracted from immunofunctionomes with a series of filters revealed that the immunopathy of SC consisted of a group of deregulated functions with the core members including B cell activation and differentiation, regulation of leukocyte chemotaxis/cellular extravasation, antigen receptor mediated signaling pathway, T helper mediated immunity and macrophage activation; and the auxiliary elements included leukocyte mediated immunity, regulation of inflammatory response, T cell differentiation, mononuclear cell migration, megakaryocyte differentiation, complement activation and cytokine production. These deregulated immunological functions reveal the candidates to target in the immunotherapy.

Indexed as

Gene Expression Regulation, NeoplasticCarcinoma, Ovarian EpithelialCase-Control StudiesFemaleHumansMachine LearningOvarian Neoplasmsgene expression microarraygene setimmunological functionintegrative analysismachine learningovarian carcinoma

Identifiers

PMID30356023
PMCPMC6274992
OpenAlexW2898277843

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.