Evidence map›Paper›PMID 26884265›Full record

SynthesisMolecular neurobiology2016

CD105 Over-expression Is Associated with Higher WHO Grades for Gliomas.

Xiangyi Kong, Yu Wang, Shuai Liu, Bing Xing, Yi Yang, Yongning Li, Zuyuan Ren, Changbao Su, Wenbin Ma, Renzhi Wang

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Molecular neurobiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Glioblastoma CD105Acta neuropathologica communications · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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 2 institutions in 1 country.

Xiangyi KongDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan Hutong of Dongcheng District, Beijing, 100730, China.
Yu WangDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan Hutong of Dongcheng District, Beijing, 100730, China.
Shuai LiuDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan Hutong of Dongcheng District, Beijing, 100730, China.
Bing XingDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan Hutong of Dongcheng District, Beijing, 100730, China.
Yi YangDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan Hutong of Dongcheng District, Beijing, 100730, China.
Yongning LiDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan Hutong of Dongcheng District, Beijing, 100730, China.
Zuyuan RenDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan Hutong of Dongcheng District, Beijing, 100730, China.
Changbao SuDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan Hutong of Dongcheng District, Beijing, 100730, China.
Wenbin MaDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan Hutong of Dongcheng District, Beijing, 100730, China. mawb2001@hotmail.com.
Renzhi WangDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan Hutong of Dongcheng District, Beijing, 100730, China. wrzpumch@163.com.
Peking Union Medical College Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CD105 is an ancillary receptor of transforming growth factor beta (TGF-β), which has been suggested as a suitable biomarker for cancer-related angiogenesis and neovascularization (Nassiri et al. in Anticancer Res 31:2283-2290, 2011). However, the clinical significance of CD105 in WHO grade was rarely reported and the effects of CD105 signal transduction pathway on gliomas remain controversial and unclear. To get a convincing conclusion, performing a meta-analysis is essential. Relevant literature studies were included via careful evaluation, and standard mean difference (SMD) and hazard ratio (HR) with 95 % confidence intervals (95 % CIs) was calculated. We also made funnel plots to test the heterogeneity. In the present meta-analysis, a total of 11 eligible literatures involving 796 patients were incorporated. They were all conducted in China, revealing that CD105 overexpression in glioma tissues was strongly linked to high WHO grading (III+IV) (SMD -1.785, 95 % CI -2.133, -1.437; p = 0.000). No significant associations between CD105 and age (SMD -0.505, 95 % CI -1.054, 0.043; p = 0. 071), CD105 and gender (SMD 0.101, 95 % CI -0.103, 0.305; p = 0.333), and CD105 and tumor size (SMD -0.433, 95 % CI -1.326, 0.459; p = 0. 341) were detected. Besides, CD105 expression was closely associated with glioma patients' 3-year overall survival (OS; n = 2; HR = 4.357, 95 % CI 1.412, 7.303; p = 0.004). On the basis of Begg's and Egger's test or funnel plot, no publication bias was detected. In a nutshell, this meta-analysis demonstrated that CD105 overexpression correlates to higher WHO grade and poor survival and could be indicated as a helpful prognostic and diagnostic marker, or a useful therapy target.

Indexed as

World Health OrganizationAdultBrain NeoplasmsEndoglinFemaleGliomaHumansMaleMiddle AgedNeoplasm GradingPublication BiasEndoglinCD105GliomaGradeMeta-analysisPrognosis

Identifiers

PMID26884265
OpenAlexW2285695633

What OpenQuestion holds

Textmetadata
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.