Evidence map›Paper›PMID 35486592›Full record

ArticleInternational reviews of immunology2022

Scaling up and scaling out: Advances and challenges in manufacturing engineered T cell therapies.

Hannah W Song, Robert P Somerville, David F Stroncek, Steven L Highfill

Open access · greenAbstract read
In one paragraph

Article in International reviews of immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. The Expression of LDL-R in CD8In vivo (Athens, Greece)
    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

4 authors at 1 institution in 1 country.

Hannah W SongNational Institutes of Health, Clinical Center, Center for Cellular Engineering, Bethesda, USA.
Robert P SomervilleNational Institutes of Health, Clinical Center, Center for Cellular Engineering, Bethesda, USA.
David F StroncekNational Institutes of Health, Clinical Center, Center for Cellular Engineering, Bethesda, USA.
Steven L HighfillNational Institutes of Health, Clinical Center, Center for Cellular Engineering, Bethesda, USA.
National Institutes of Health Clinical Center · US

Funding

Intramural NIH HHS Z99 CL999999
6 · The paper itself

Abstract

Engineered T cell therapies such as CAR-T cells and TCR-T cells have generated impressive patient responses in previously incurable diseases. In the past few years there have been a number of technical innovations that enable robust clinical manufacturing in functionally closed and often automated systems. Here we describe the latest technology used to manufacture CAR- and TCR-engineered T cells in the clinic, including cell purification, transduction/transfection, expansion and harvest. To help compare the different systems available, we present three case studies of engineered T cells manufactured for phase I clinical trials at the NIH Clinical Center (CD30 CAR-T cells for lymphoma, CD19/CD22 bispecific CAR-T cells for B cell malignancies, and E7 TCR T cells for human papilloma virus-associated cancers). Continued improvement in cell manufacturing technology will help enable world-wide implementation of engineered T cell therapies.

Indexed as

NeoplasmsReceptors, Antigen, T-CellB-LymphocytesHumansImmunotherapy, AdoptiveT-LymphocytesReceptors, Antigen, T-CellCAR T cellsCell TherapyGMP manufacturingProcess developmentTCR T cells

Identifiers

PMID35486592
PMCPMC9815724
OpenAlexW4225112950

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.