Evidence map›Paper›PMID 33603158›Full record

ReviewNature reviews. Genetics2021

Genetic engineering of T cells for immunotherapy.

Gavin I Ellis, Neil C Sheppard, James L Riley

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed
8.8field-weighted citation impact, top 1% 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

88 citing papers in PubMed, 154 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Cellular immunotherapy in melanoma: the next frontier in cancer treatment.Journal of experimental & clinical cancer research : CR · 2026
    Review
  5. Adoptive T-cell therapies in the clinic.Bioengineering & translational medicine · 2026
    Review
  6. Ablation of prostaglandin ENature biomedical engineering · 2026
    Article
  7. Review
  8. Article
  9. Oncolytic viruses: advanced strategies in cancer therapy.Signal transduction and targeted therapy · 2026
    Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Optimal pairing of binder and co-stimulatory domains improves dual CART cell efficacy.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Article
  17. Review
  18. Review
  19. Review
  20. Review

28 more citing papers are in PubMed but not listed here.

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 1 country.

Gavin I Ellis *Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-8527-702X
Neil C Sheppard *Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-9551-9491
James L RileyDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. rileyj@upenn.edu.ORCID 0000-0002-1057-576X
University of Pennsylvania · USParker Institute for Cancer Immunotherapy · US

Funding

First-in-human study of two anti-SARS CoV-2 antibodies in health volunteersUM1AI126620 · NIAID · WISTAR INSTITUTE · PI MONTANER, LUIS J, RILEY, JAMES L. · 2016 to 2021
$24.5M
Modeling HIV CAR-T cell trafficking and persistence in Non-Human PrimatesU19AI149680 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI RILEY, JAMES L. · 2020 to 2024
$13.2M
Sequencing and Viral Evolution CoreU19AI117950 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI WHERRY, E. JOHN · 2015 to 2019
$12.0M
Microphysiological systems for modeling autoimmunity in type 1 diabetesUH3DK122644 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI GADUE, PAUL J, HUH, DONGEUN · 2021 to 2023
$3.4M
Microphysiological systems for modeling autoimmunity in type 1 diabetesUG3DK122644 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI GADUE, PAUL J, HUH, DONGEUN · 2019 to 2020
$2.3M
NIAID NIH HHS U19 AI117950NIAID NIH HHS U19 AI149680NIAID NIH HHS UM1 AI126620NIDDK NIH HHS UG3 DK122644NIDDK NIH HHS UH3 DK122644
6 · The paper itself

Abstract

Genetically engineered T cell immunotherapies have provided remarkable clinical success to treat B cell acute lymphoblastic leukaemia by harnessing a patient's own T cells to kill cancer, and these approaches have the potential to provide therapeutic benefit for numerous other cancers, infectious diseases and autoimmunity. By introduction of either a transgenic T cell receptor or a chimeric antigen receptor, T cells can be programmed to target cancer cells. However, initial studies have made it clear that the field will need to implement more complex levels of genetic regulation of engineered T cells to ensure both safety and efficacy. Here, we review the principles by which our knowledge of genetics and genome engineering will drive the next generation of adoptive T cell therapies.

Indexed as

Genetic EngineeringImmunotherapyAnimalsHumansT-LymphocytesTransgenes

Identifiers

PMID33603158
PMCPMC8217325
OpenAlexW3131020255

What OpenQuestion holds

Textmetadata
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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.