Evidence map›Paper›PMID 25967234›Full record

SynthesisJournal of experimental & clinical cancer research : CR2015

Do relevant markers of cancer stem cells CD133 and Nestin indicate a poor prognosis in glioma patients? A systematic review and meta-analysis.

Bin Wu, Caixing Sun, Fang Feng, Minghua Ge, Liang Xia

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of experimental & clinical cancer research : CR, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 4 pooled it
5.3field-weighted citation impact, top 3% 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

55 citing papers in PubMed, 4 syntheses or guidelines pooled it, 83 citations in OpenAlex.

  1. Pooled it
  2. CD147 and glioma: a meta-analysis.Journal of neuro-oncology · 2017
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Article
  8. Biogenic ZnO Nanoparticles Synthesized byNanomaterials (Basel, Switzerland) · 2025
    Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Can CD133 Be Regarded as a Prognostic Biomarker in Oncology: Pros and Cons.International journal of molecular sciences · 2023
    Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  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

5 authors at 1 institution in 1 country.

Bin WuZhejiang Cancer Hospital, 38 Guangji Road, Hangzhou, Zhejiang Province, 310022, China. Wubintop@sina.cn.
Caixing SunZhejiang Cancer Hospital, 38 Guangji Road, Hangzhou, Zhejiang Province, 310022, China. 2226124552@qq.com.
Fang FengZhejiang Cancer Hospital, 38 Guangji Road, Hangzhou, Zhejiang Province, 310022, China. 408318197@qq.com.
Minghua GeZhejiang Cancer Hospital, 38 Guangji Road, Hangzhou, Zhejiang Province, 310022, China. f38865319@dlmu.edu.cn.
Liang XiaZhejiang Cancer Hospital, 38 Guangji Road, Hangzhou, Zhejiang Province, 310022, China. xialiang@zjcc.org.cn.
Zhejiang Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCD133 and Nestin, as the markers of cancer stem cells, have recently been reported frequently in the pathogenesis and development of human gliomas. However, the prognostic role of CD133 and Nestin in gliomas still remains controversial. In this study, we aimed to evaluate the association between the expression of CD133 and Nestin and the outcome of glioma patients by conducting a systematic review and meta-analysis.

methodsWe performed systematically electronic and manual searches through the database of Pubmed and embase (until to December 25, 2014) for titles and abstracts which investigated the relationships between CD133 and Nestin expression and outcome of glioma patients. A systematic review and meta-analysis was executed to generate Pooled hazard ratios (HRs) with 95 % confidence intervals (CIs) for overall survival (OS) and progression-free survival (PFS).

resultsA total of 1,490 patients from 32 studies (13 articles) were included in the analysis. 19 studies and 13 studies investigated correlation between CD133 expression or Nestin and survival in gliomas, respectively. Our results showed that high CD133 expression in patients with glioma was associated with poor prognosis in terms of OS (HR 1.69; 95 % CI, 1.16-2.47; P =0.0060) and PFS (HR, 1.64; 95 % CI, 1.12-2.39; P = 0.010). In addition, high Nestin expression were associated with worse OS (HR 1.751; 95 % CI, 1.19-2.58, p = 0.004) but has no significant association with PFS (HR 1.55; 95 % CI, 0.96-2.51, p = 0.074). Even more important, the results of the subgroup meta-analyses show that that high CD133 expression was associated with worse prognosis in terms of OS and PFS in patients with WHO IV glioma but not WHO II-III. On the other hand, Nestin high expression was associated with worse prognosis in terms of OS and PFS in patients with WHO II-III glioma but not WHO IV.

conclusionHigh level of CD133 expression trends to correlate with a worse OS and PFS in glioma patients, especially WHO IV gliomas and Nestin high expression trends to correlate with a worse OS in glioma patients especially WHO II-III, revealing both the markers of cancer stem cells may as the potential pathological prognostic markers for glioma patients.

Indexed as

Biomarkers, TumorAC133 AntigenAntigens, CDFemaleGene ExpressionGliomaGlycoproteinsHumansMaleNeoplastic Stem CellsNestinPeptidesPrognosisProportional Hazards ModelsPublication BiasSurvival AnalysisAC133 AntigenAntigens, CDBiomarkers, TumorGlycoproteinsNestinPeptidesPROM1 protein, human

Identifiers

PMID25967234
PMCPMC4436020
OpenAlexW2151425315

What OpenQuestion holds

Textmetadata
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.