Evidence map›Paper›PMID 32608373›Full record

ArticleActa bio-medica : Atenei Parmensis2020

Adoptive immunotherapies in neuro-oncology: classification, recent advances, and translational challenges.

Sabino Luzzi, Alice Giotta Lucifero, Ilaria Brambilla, Mariasole Magistrali, Mario Mosconi, Salvatore Savasta, Thomas Foiadelli

Open access · greenAbstract read
In one paragraph

Article in Acta bio-medica : Atenei Parmensis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Human Herpes Virus 7-related encephalopathy in children.Acta bio-medica : Atenei Parmensis · 2022
    Article
  6. Article
  7. Therapeutic aspects of Sydenham's Chorea: an update.Acta bio-medica : Atenei Parmensis · 2022
    Review
  8. Review
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  11. Article
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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

7 authors at 2 institutions in 1 country.

Sabino LuzziNeurosurgery Unit, Department of Clinical-Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy; Neurosurgery Unit, Department of Surgical Sciences, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy. sabino.luzzi@unipv.it.
Alice Giotta LuciferoNeurosurgery Unit, Department of Clinical-Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy. alicelucifero@gmail.com.
Ilaria BrambillaPediatric Clinic, Department of Pediatrics, Fondazione IRCCS Policlinico San Matteo, Uni-versity of Pavia, Pavia, Italy. i.brambilla@smatteo.pv.it.
Mariasole MagistraliPediatric Clinic, Department of Pediatrics, Fondazione IRCCS Policlinico San Matteo, Uni-versity of Pavia, Pavia, Italy. giorgia.digiusto@gmail.com.
Mario MosconiOrthopaedic and Traumatology Unit, Department of Clinical-Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy. mario.mosconi@unipv.it.
Salvatore SavastaPediatric Clinic, Department of Pediatrics, Fondazione IRCCS Policlinico San Matteo, Uni-versity of Pavia, Pavia, Italy. S.Savasta@smatteo.pv.it.
Thomas FoiadelliPediatric Clinic, Department of Pediatrics, Fondazione IRCCS Policlinico San Matteo, Uni-versity of Pavia, Pavia, Italy. thomas.foiadelli@gmail.com.
Policlinico San Matteo Fondazione · ITUniversity of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdoptive immunotherapies are among the pillars of ongoing biological breakthroughs in neuro-oncology, as their potential applications are tremendously wide. The present literature review comprehensively classified adoptive immunotherapies in neuro-oncology, provides an update, and overviews the main translational challenges of this approach.

methodsThe PubMed/MEDLINE platform, Medical Subject Heading (MeSH) database, and ClinicalTrials.gov website were the sources. The MeSH terms "Immunotherapy, Adoptive," "Cell- and Tissue-Based Therapy," "Tissue Engineering," and "Cell Engineering" were combined with "Central Nervous System," and "Brain." "Brain tumors" and "adoptive immunotherapy" were used for a further unrestricted search. Only articles published in the last 5 years were selected and further sorted based on the best match and relevance. The search terms "Central Nervous System Tumor," "Malignant Brain Tumor," "Brain Cancer," "Brain Neoplasms," and "Brain Tumor" were used on the ClinicalTrials.gov website.

resultsA total of 79 relevant articles and 16 trials were selected. T therapies include chimeric antigen receptor T (CAR T) cell therapy and T cell receptor (TCR) transgenic therapy. Natural killer (NK) cell-based therapies are another approach; combinations are also possible. Trials in phase 1 and 2 comprised 69% and 31% of the studies, respectively, 8 of which were concluded. CAR T cell therapy targeting epidermal growth factor receptor variant III (EGFRvIII) was demonstrated to reduce the recurrence rate of glioblastoma after standard-of-care treatment.

conclusionAdoptive immunotherapies can be classified as T, NK, and NKT cell-based. CAR T cell therapy redirected against EGFRvIII has been shown to be the most promising treatment for glioblastoma. Overcoming immune tolerance and immune escape are the main translational challenges in the near future of neuro-oncology.

Indexed as

Brain NeoplasmsGlioblastomaHumansImmunotherapy, AdoptiveNeoplasm Recurrence, LocalReceptors, Antigen, T-CellReceptors, Antigen, T-Cell

Identifiers

PMID32608373
PMCPMC7975830
OpenAlexW3039220051

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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 Socratic graph.