Evidence map›Paper›PMID 25964862›Full record

ArticleOncoimmunology2014

Interleukin-6 receptor and its ligand interleukin-6 are opposite markers for survival and infiltration with mature myeloid cells in ovarian cancer.

McA Wouters, E M Dijkgraaf, M L Kuijjer, E S Jordanova, H Hollema, Mjp Welters, Jjm van der Hoeven, T Daemen, J R Kroep, H W Nijman and 1 more

Open access · goldAbstract read
In one paragraph

Article in Oncoimmunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 19% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Advances in immunotherapies in ovarian cancer.Journal for immunotherapy of cancer · 2026
    Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. CD163Journal for immunotherapy of cancer · 2020
    Article
  15. Article
  16. Review
  17. Article
  18. Myeloid-derived suppressor cells in ovarian cancer: friend or foe?Central-European journal of immunology · 2017
    Review
  19. Review
  20. 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

11 authors at 4 institutions in 2 countries.

McA WoutersDepartment of Gynecologic Oncology; University of Groningen; University Medical Center Groningen ; Hanzeplein ; Groningen, The Netherlands ; Department of Medical Microbiology; University of Groningen; University Medical Center Groningen ; Hanzeplein , Groningen, The Netherlands.
E M DijkgraafDepartment of ClinicalOncology; Leiden University Medical Center ; Albinusdreef , Leiden, The Netherlands.
M L KuijjerDepartment of Biostatistics and Computational Biology; Dana-Farber Cancer Institute ; Boston, MA USA ; Department of Biostatistics; Harvard School of Public Health ; Boston, MA USA.
E S JordanovaCenter for Gynaecological Oncology Amsterdam ; VUMC, De Boelelaan , Amsterdam, The Netherlands.
H HollemaDepartment of Pathology; University of Groningen; University Medical Center Groningen ; Hanzeplein , Groningen, The Netherlands.
Mjp WeltersDepartment of ClinicalOncology; Leiden University Medical Center ; Albinusdreef , Leiden, The Netherlands.
Jjm van der HoevenDepartment of ClinicalOncology; Leiden University Medical Center ; Albinusdreef , Leiden, The Netherlands.
T DaemenDepartment of Medical Microbiology; University of Groningen; University Medical Center Groningen ; Hanzeplein , Groningen, The Netherlands.
J R KroepDepartment of ClinicalOncology; Leiden University Medical Center ; Albinusdreef , Leiden, The Netherlands.
H W NijmanDepartment of Gynecologic Oncology; University of Groningen; University Medical Center Groningen ; Hanzeplein ; Groningen, The Netherlands.
S H van der BurgDepartment of ClinicalOncology; Leiden University Medical Center ; Albinusdreef , Leiden, The Netherlands.
Leiden University Medical Center · NLUniversity Medical Center Groningen · NLCentrum voor Gynaecologische Oncologie Amsterdam · NLHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An increased level of interleukin-6 (IL-6) in epithelial ovarian cancer (EOC) is correlated with a worse prognosis. IL-6 stimulates tumor-growth and inflammation. We investigated the intricate interaction between the IL-6 signaling pathway and tumor-infiltrating myeloid cells (TIMs) to determine their prognostic impact in EOC. 160 EOC samples were analyzed for the expression of IL-6, its receptor (IL-6R) and downstream signaling via pSTAT3 by immunohistochemistry. Triple color immunofluorescence confocal microscopy was used to identify myeloid cell populations by CD14, CD33, and CD163. The relationship between these markers, tumor-infiltrating immune cells, clinical-pathological characteristics and survival was investigated. EOC displayed a dense infiltration with myeloid cells, in particular of the CD163

Indexed as

DSS, disease-specific survivalEOC, epithelial ovarian cancerepithelial ovarian cancerFIGO, International Federation of Gynecology and ObstetricsIL-6, interleukin-6; IL-6R, interleukin-6 receptorIL-6R, interleukin-6, IL-6, interleukin-6 receptorMDSC, myeloid-derived suppressor cellpSTAT3pSTAT3, phosphorylated signal transducer and activator of transcription 3TAM, tumor-associated macrophageTIL, tumor-infiltrating lymphocytesTIM, tumor-infiltrating myeloid cellTMA, tissue microarrayT reg, regulatory T celltumor-infiltrating myeloid cells

Identifiers

PMID25964862
PMCPMC4353164
OpenAlexW1986718396

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.