Evidence mapPaperPMID 41707655Full record

ReviewCell reports. Medicine2026

Cell therapy for brain tumors: The first 60 years.

Sanya Mehta, Giedre Krenciute, Stephen Gottschalk

Abstract readReviewHistorical Article
In one paragraph

Review in Cell reports. Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sanya MehtaDepartment of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Graduate School of Biomedical Sciences, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
Giedre KrenciuteDepartment of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, TN 38105, USA. Electronic address: giedre.krenciute@stjude.org.
Stephen GottschalkDepartment of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, TN 38105, USA. Electronic address: stephen.gottschalk@stjude.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary brain tumors remain among the most lethal cancers, but immunotherapy holds immense potential to overcome limitations of current standard treatment modalities. Since the late 1960s, early-phase clinical trials have iteratively tested cellular immunotherapies for the treatment of brain tumors. Six decades ago, in the earliest studies, brain tumor patients were treated with infusions of nonspecific leukocytes, peripheral blood mononuclear cells (PBMCs), and bone marrow cells. These earliest studies demonstrated safety and occasional durable antitumor responses, particularly when cell therapies were combined with conventional modalities or administered in the upfront setting. These early cell therapy approaches were chronologically followed by lymphokine-activated killer (LAK) cells, tumor-infiltrating lymphocytes (TILs), ex vivo nonspecifically expanded and antigen-specific T cells, natural killer (NK) cells, and chimeric antigen receptor (CAR) T cells. In this historical review, we summarize the clinical experience with adoptive cell therapies for brain tumors and review key findings from published clinical studies.

Indexed as

Brain NeoplasmsCell- and Tissue-Based TherapyImmunotherapy, AdoptiveAnimalsHistory, 20th CenturyHistory, 21st CenturyHumansKiller Cells, Lymphokine-ActivatedKiller Cells, NaturalLymphocytes, Tumor-InfiltratingT-Lymphocytes

Identifiers

PMID41707655
PMCPMC12923960

What Socratic holds

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LicenceCC BY
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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 Socratic graph.