Evidence map›Paper›PMID 40883169›Full record

ReviewTrends in cancer2025

CRISPR tools for T cells: targeting the genome, epigenome, and transcriptome.

Tassilo L A Wachsmann, Lei S Qi

Abstract readReview
In one paragraph

Review in Trends in cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
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

2 authors.

Tassilo L A WachsmannDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
Lei S QiDepartment of Bioengineering, Stanford University, Stanford, CA, USA; Sarafan ChEM-H, Stanford University, Stanford, CA, USA; Chan Zuckerberg Biohub - San Francisco, San Francisco, CA, USA. Electronic address: slqi@stanford.edu.

Funding

High resolution dissection of oncogene enhancer networks via CRISPR screening and live-cell imaging.R01CA266470 · NCI · STANFORD UNIVERSITY · PI Lei Stanley Qi · 2022 to 2026
$1.9M
NCI NIH HHS R01 CA266470
6 · The paper itself

Abstract

T cell therapy has curative potential for many cancers. Despite impressive clinical efficacy in hematological malignancies, current T cell therapy still faces challenges related to sustaining responses, antigen escape, cytotoxicity, limited accessibility, and difficulties in treating solid tumors. The advent of CRISPR (clustered regularly interspaced short palindromic repeats) technologies provides a promising solution to these challenges. CRISPR technologies have grown from merely tools for gene knockout to sophisticated tools that can engineer cells at various levels of the genome, epigenome, and transcriptome. In this review we discuss recent technological advancements and how their application to T cells has the potential to steer the next generation of cellular therapy. We highlight emerging applications and current technological limitations that future tool development aims to overcome.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsEpigenomeImmunotherapy, AdoptiveNeoplasmsT-LymphocytesTranscriptomeAnimalsGene EditingHumanschimeric antigen receptor (CAR)CRISPR-Casepigenome engineeringT cell receptor (TCR)transcriptome engineeringtumor-infiltrating lymphocyte (TIL)

Identifiers

PMID40883169
PMCPMC12397615

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.