Evidence map›Paper›PMID 25380303›Full record

ArticlePloS one2014

CD117 expression in fibroblasts-like stromal cells indicates unfavorable clinical outcomes in ovarian carcinoma patients.

Ruixia Huang, Dan Wu, Yuan Yuan, Xiaoran Li, Ruth Holm, Claes G Trope, Jahn M Nesland, Zhenhe Suo

Expression of concernOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It carries an expression of concern. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

19 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Computational pathology in ovarian cancer.Frontiers in oncology · 2022
    Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Nanotechniques Inactivate Cancer Stem Cells.Nanoscale research letters · 2017
    Article
  12. Article
  13. Article
  14. Article
  15. Cytokines and Prognostic Factors in Epithelial Ovarian Cancer.Clinical Medicine Insights. Oncology · 2016
    Article
  16. Article
  17. Article
  18. Article
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Ruixia HuangDepartments of Pathology, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway; Department of Pathology, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
Dan WuDepartment of Gynecology, International Peace Maternity and Child Health Hospital, Medical College of Shanghai, Jiaotong University, Shanghai, China.
Yuan YuanDepartment of Pathology, Capital Medical University, Beijing, China.
Xiaoran LiDepartments of Pathology, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway; Department of Pathology, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
Ruth HolmDepartments of Pathology, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway.
Claes G TropeDepartment of Gynecology, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway; Department of Gynecology, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway.
Jahn M NeslandDepartments of Pathology, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway; Department of Pathology, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
Zhenhe SuoDepartments of Pathology, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway; Department of Pathology, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
Oslo University Hospital · NOCapital Medical University · CNInternational Peace Maternity & Child Health Hospital · CNUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The stem cell factor (SCF) receptor CD117 (c-kit), is widely used for identification of hematopoietic stem cells and cancer stem cells. Moreover, CD117 expression in carcinoma cells indicates a poor prognosis in a variety of cancers. However the potential expression in tumor microenvironment and the biological and clinical impact are currently not reported. The expression of CD117 was immunohistochemically evaluated in a serial of 242 epithelial ovarian cancer (EOC) cases. Thirty-eight out of 242 cases were CD117 positive in fibroblast-like stromal cells and 22 cases were positive in EOC cells. Four cases were both positive in fibroblast-like stromal cells and EOC cells for CD117. CD117 expression in fibroblast-like stromal cells in ovarian carcinoma was closely linked to advanced FIGO stage, poor differentiation grade and histological subtype (p<0.05), and it was significantly associated with poor overall survival (OS) and progression free survival (PFS) (Kaplan-Meier analysis; p<0.05, log-rank test). CD117 expression in ovarian carcinoma cells was not associated with these clinicopathological variables. The CD117 positive fibroblast-like stromal cells were all positive for mesenchymal stem/stromal cell (MSC) marker CD73 but negative for fibroblast markers fibroblast activation protein (FAP) and α smooth muscle actin (α-SMA), indicating that the CD117+/CD73+ fibroblast-like stromal cells are a subtype of mesenchymal stem cells in tumor stroma, although further characterization of these cells are needed. It is concluded herewith that the presence of CD117+/CD73+ fibroblast-like stromal cells in ovarian carcinoma is an unfavorable clinical outcome indication.

Indexed as

AdultAgedAged, 80 and overDisease-Free SurvivalFemaleFibroblastsHumansKaplan-Meier EstimateMiddle AgedOvarian NeoplasmsOvaryPrognosisProto-Oncogene Proteins c-kitStromal CellsYoung AdultProto-Oncogene Proteins c-kit

Identifiers

PMID25380303
PMCPMC4224427
OpenAlexW2093631212

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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.