ReviewGene and genome editing2021
Genome editing of therapeutic T cells.
Review in Gene and genome editing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The potential of engineered TCRαβ T cells as potent mediators of leukemic clearance has been demonstrated in clinical trials, and authorised therapies are being deployed against B cell malignancies in particular. While most applications have relied on harvest and manipulation of autologous lymphocytes, the emerging application of genome editing technology has demonstrated that allogeneic TCRαβ cells can be engineered to overcome Human Leukocyte Antigen (HLA) barriers and provides a route to more cost effective and widely accessible 'off-the-shelf' therapies. Genome editing also offers the prospect of addressing other hurdles such as shared-antigen expression and has been applied to direct site-specific transgene integration, for improved transcriptional regulation and function.
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Registered trials
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.