Evidence map›Paper›PMID 34665390›Full record

ReviewNeuromolecular medicine2022

Chimeric Antigen Receptor (CAR) T Cell Therapy for Glioblastoma.

Lisa Feldman, Christine Brown, Behnam Badie

Open access · greenAbstract readReview
In one paragraph

Review in Neuromolecular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Efficacy Evaluation of "Enhanced" Natural Killers withSovremennye tekhnologii v meditsine · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. 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 1 institution in 1 country.

Lisa FeldmanDivision of Neurosurgery, City of Hope National Medical Center, Duarte, CA, 91010, USA. lfeldman@coh.org.ORCID 0000-0002-4405-6685
Christine BrownDepartments of Cancer Immunotherapy & Tumor Immunology and Hematology & Hematopoietic Call Transplantation, City of Hope National Medical Center, Duarte, CA, 91010, USA.
Behnam BadieDivision of Neurosurgery, City of Hope National Medical Center, Duarte, CA, 91010, USA.
City Of Hope National Medical Center · US

Funding

Oncology Research Career Development ProgramK12CA001727 · NCI · CITY OF HOPE NATIONAL MEDICAL CENTER · PI MORTIMER, JOANNE E. · 1992 to 2024
$14.6M
NCI NIH HHS K12 CA001727
6 · The paper itself

Abstract

Glioblastoma (GBM) are the most common and aggressive primary brain tumors in adults. Current mainstay treatments include surgery, chemotherapy, and radiation; however, these are ineffective. As a result, immunotherapy treatment strategies are being developed to harness the body's natural defense mechanisms against gliomas. Adoptive cell therapy with chimeric antigen receptor (CAR) T cells uses patients' own T cells that are genetically modified to target tumor-associated antigens. These cells are harvested from patients, engineered to target specific proteins expressed by the tumor and re-injected into the patient with the goal of destroying tumor cells. In this mini review, we outline the history of CAR T cell therapy, describe current antigen targets, and review challenges this treatment faces specifically in targeting GBM.

Indexed as

Brain NeoplasmsGlioblastomaReceptors, Chimeric AntigenCell- and Tissue-Based TherapyHumansImmunotherapy, AdoptiveReceptors, Chimeric AntigenAdoptive therapyChimeric antigen receptor (CAR) T cellClinical trialsGlioblastomaImmunotherapy

Identifiers

PMID34665390
PMCPMC11220928
OpenAlexW3206307198

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.