Evidence map›Paper›PMID 20719886›Full record

ArticleCancer research2010

Circulating levels of the innate and humoral immune regulators CD14 and CD23 are associated with adult glioma.

Mi Zhou, Joseph L Wiemels, Paige M Bracci, Margaret R Wrensch, Lucie S McCoy, Terri Rice, Jennette D Sison, Joseph S Patoka, John K Wiencke

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

25 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Glioblastoma: Is There Any Blood Biomarker with True Clinical Relevance?International journal of molecular sciences · 2020
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Approaching a Scientific Consensus on the Association between Allergies and Glioma Risk: A Report from the Glioma International Case-Control Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2016
    Article
  10. Circulating biomarkers for gliomas.Nature reviews. Neurology · 2015
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Epidemiology: allergy history, IgE, and cancer.Cancer immunology, immunotherapy : CII · 2012
    Review
  17. Article
  18. Eosinophils in glioblastoma biology.Journal of neuroinflammation · 2012
    Review
  19. Article
  20. Review
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

9 authors at 2 institutions in 1 country.

Mi ZhouDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California 94158, USA.
Joseph L Wiemels
Paige M Bracci
Margaret R Wrensch
Lucie S McCoy
Terri Rice
Jennette D Sison
Joseph S Patoka
John K Wiencke
Neurological Surgery · USUniversity of California, San Francisco · US

Funding

Tissue CoreP50CA097257 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Joseph F Costello · 2002 to 2026
$57.4M
GENETIC EPIDEMIOLOGY OF MALIGNANT GLIOMAR01CA052689 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WIENCKE, JOHN K., WRENSCH, MARGARET R. · 1991 to 2015
$20.5M
BIOMARKERS OF LUNG CANCER SUSCEPTIBILITY IN MINORITIESR01ES006717 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WIENCKE, JOHN K. · 1994 to 2009
$8.9M
Biomarkers of survival in glioma epidemiologyR01CA126831 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WIENCKE, JOHN K. · 2008 to 2013
$2.5M
Meningioma: Risk Factors and Quality of LifeR01CA109745 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WIEMELS, JOSEPH LEO · 2006 to 2010
$1.9M
NCI NIH HHS P50 CA097257NCI NIH HHS P50CA097257NCI NIH HHS R01 CA052689NCI NIH HHS R01 CA109745NCI NIH HHS R01CA109745NCI NIH HHS R01 CA126831NCI NIH HHS R01CA126831NCI NIH HHS R01CA52689NIEHS NIH HHS R01 ES006717NIEHS NIH HHS R01ES06717
6 · The paper itself

Abstract

Allergy history has been consistently inversely associated with glioma risk. Two serologic markers, soluble CD23 (sCD23) and soluble CD14 (sCD14), are part of the innate and adaptive humoral immune systems and modulate allergic responses in opposite directions, with sCD23 enhancing and sCD14 blunting inflammatory responses. We measured sCD23 and sCD14 in serum from blood that was drawn at a single time point from 1,079 glioma patients postdiagnosis and 736 healthy controls. Glioma was strongly associated with high sCD14 [highest versus lowest quartile odds ratio (OR), 3.94; 95% confidence interval (95% CI), 2.98-5.21] and low sCD23 (lowest versus highest quartile OR, 2.5; 95% CI, 1.89-3.23). Results were consistent across glioma histologic types and grades, but were strongest for glioblastoma. Whereas temozolomide treatment was not associated with either sCD14 or sCD23 levels among cases, those taking dexamethasone had somewhat lower sCD23 levels than those not taking dexamethasone. However, sCD23 was associated with case status regardless of dexamethasone treatment. These results augment the long-observed association between allergies and glioma and support a role for the innate and adaptive humoral functions of the immune system, in particular immunoregulatory proteins, in gliomagenesis.

Indexed as

AdultCase-Control StudiesDacarbazineDexamethasoneFemaleGliomaHumansHypersensitivityImmune ToleranceImmunity, HumoralImmunity, InnateImmunoglobulin ELipopolysaccharide ReceptorsMaleMiddle AgedReceptors, IgEDacarbazineDexamethasoneImmunoglobulin ELipopolysaccharide ReceptorsReceptors, IgETemozolomide

Identifiers

PMID20719886
PMCPMC3339633
OpenAlexW2155042437

What OpenQuestion holds

Textmetadata
LicenceTDM
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.