Evidence map›Paper›PMID 36423279›Full record

ReviewScience (New York, N.Y.)2022

The future of engineered immune cell therapies.

Darrell J Irvine, Marcela V Maus, David J Mooney, Wilson W Wong

Open access · greenAbstract readReview
In one paragraph

Review in Science (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed
17.2field-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

105 citing papers in PubMed, 177 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Engineering platelets as cancer therapeutics.Nature reviews. Clinical oncology · 2026
    Review
  14. Article
  15. Article
  16. Article
  17. Engineering Immune Cell to Counteract Aging and Aging-Associated Diseases.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  18. Article
  19. Review
  20. Review

45 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

4 authors at 3 institutions in 1 country.

Darrell J IrvineKoch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA.ORCID 0000-0002-8637-1405
Marcela V MausRagon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA.ORCID 0000-0002-7578-0393
David J MooneyJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.ORCID 0000-0001-6299-1194
Wilson W WongDepartment of Biomedical Engineering and Biological Design Center, Boston University, Boston, MA, USA.ORCID 0000-0001-8394-889X
Harvard University · USBoston University · USHoward Hughes Medical Institute · US

Funding

Th1 polarizing immune responses using DNA origamiU54CA244726 · NCI · HARVARD UNIVERSITY · PI HODI, FRANK S, MOONEY, DAVID J · 2019 to 2019
$8.2M
Synthetic toolkit for precision gene expression control and signal processing in mammalian cellsR01EB029483 · NIBIB · HARVARD UNIVERSITY · PI Ahmad Samir Khalil · 2020 to 2026
$5.0M
Targeted delivery of cytopathicity enhancing agents, and co-ordination with shock and kill, to reduce HIV reservoirsR01AI147845 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI IRVINE, DARRELL J, JONES, R. BRAD · 2019 to 2023
$4.0M
Precise targeting of T1D specific T cells using CAR and peptide-MHC chimeric antigen ligandsR01DK132576 · NIDDK · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI BIRNBAUM, MICHAEL, CETRULO, CURTIS LISANTE · 2022 to 2025
$2.9M
Precise tumor targeting with logic CAR circuitsU01CA265713 · NCI · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI COLSON, YOLONDA L, GRINSTAFF, MARK W. · 2021 to 2025
$2.5M
Delivery of cytokines for cancer immunotherapy using nanolayer-controlled trafficking of liposomal nanoparticlesR01CA235375 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Paula T Hammond, Darrell J Irvine · 2019 to 2026
$2.3M
Biomaterial Cancer Vaccines that Generate Patient-Specific Antigen In SituR01CA223255 · NCI · HARVARD UNIVERSITY · PI MOONEY, DAVID J · 2018 to 2022
$2.1M
Enhancing CAR-T cell activity against solid tumors by vaccine boosting through the chimeric receptorR01CA247632 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI IRVINE, DARRELL J · 2020 to 2024
$1.7M
Multiplexed and Logical Control of the Mammalian Transcriptome Using Cas13R01EB031904 · NIBIB · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI WONG, WILSON · 2021 to 2024
$1.6M
Howard Hughes Medical InstituteNCI NIH HHS R01 CA223255NCI NIH HHS R01 CA235375NCI NIH HHS R01 CA247632NCI NIH HHS U01 CA265713NCI NIH HHS U54 CA244726NIAID NIH HHS R01 AI147845NIBIB NIH HHS R01 EB029483NIBIB NIH HHS R01 EB031904NIDDK NIH HHS R01 DK132576
6 · The paper itself

Abstract

Immune cells are being engineered to recognize and respond to disease states, acting as a "living drug" when transferred into patients. Therapies based on engineered immune cells are now a clinical reality, with multiple engineered T cell therapies approved for treatment of hematologic malignancies. Ongoing preclinical and clinical studies are testing diverse strategies to modify the fate and function of immune cells for applications in cancer, infectious disease, and beyond. Here, we discuss current progress in treating human disease with immune cell therapeutics, emerging strategies for immune cell engineering, and challenges facing the field, with a particular emphasis on the treatment of cancer, where the most effort has been applied to date.

Indexed as

Adoptive TransferCell EngineeringHematologic NeoplasmsT-LymphocytesHumans

Identifiers

PMID36423279
PMCPMC9919886
OpenAlexW4310251912

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.