Evidence map›Paper›PMID 23648695›Full record

ReviewMolecular therapy : the journal of the American Society of Gene Therapy2013

Cell-based immunotherapy against gliomas: from bench to bedside.

M Sarah S Bovenberg, M Hannah Degeling, Bakhos A Tannous

Open access · bronzeAbstract readReview
In one paragraph

Review in Molecular therapy : the journal of the American Society of Gene Therapy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

17 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Carbon Dots: An Innovative Tool for Drug Delivery in Brain Tumors.International journal of molecular sciences · 2021
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. The biology and mathematical modelling of glioma invasion: a review.Journal of the Royal Society, Interface · 2017
    Review
  14. Article
  15. Review
  16. Article
  17. 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

3 authors at 2 institutions in 2 countries.

M Sarah S BovenbergDepartment of Neurology, Experimental Therapeutics and Molecular Imaging Laboratory, Neuroscience Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
M Hannah Degeling
Bakhos A Tannous
Massachusetts General Hospital · USLeiden University Medical Center · NL

Funding

Glioblastoma stem cells therapyR01NS064983 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI TANNOUS, BAKHOS A · 2009 to 2019
$4.0M
Screening for modulators of glioma stem cells differentiationR01CA166077 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI TANNOUS, BAKHOS A · 2013 to 2015
$1.0M
NCI NIH HHS 1R01CA166077NCI NIH HHS R01 CA166077NINDS NIH HHS 1R01NS064983NINDS NIH HHS R01 NS064983
6 · The paper itself

Abstract

Glioblastoma (GBM) comprises 51% of all gliomas and is the most malignant form of brain tumors with a median survival of 18-21 months. Standard-of-care treatment includes maximal surgical resection of the tumor mass in combination with radiation and chemotherapy. However, as the poor survival rate indicates, these treatments have not been effective in preventing disease progression. Cellular immunotherapy is currently being explored as therapeutic approach to treat malignant brain tumors. In this review, we discuss advances in active, passive, and vaccine-based immunotherapeutic strategies for gliomas both at the bench and in the clinic.

Indexed as

Cell- and Tissue-Based TherapyGlioblastomaGliomaHumansImmunotherapy

Identifiers

PMID23648695
PMCPMC3702108
OpenAlexW2006960645

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.