Evidence map›Paper›PMID 39538305›Full record

ReviewExperimental hematology & oncology2024

High-throughput screening for optimizing adoptive T cell therapies.

Yuchen Zhang, Qinglong Xu, Zhifei Gao, Honghao Zhang, Xiaoling Xie, Meifang Li

Abstract readReview
In one paragraph

Review in Experimental hematology & oncology, 2024. 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. Article
  2. Review
  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

6 authors.

Yuchen Zhang *Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, People's Republic of China.
Qinglong Xu *Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, People's Republic of China.
Zhifei Gao *Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, People's Republic of China.
Honghao ZhangDepartment of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, People's Republic of China.
Xiaoling XieDepartment of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, People's Republic of China. xxl413@smu.edu.cn.
Meifang LiDepartment of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, People's Republic of China. lmf442887107@126.com.

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2021A1515110974the National Natural Science Foundation of China 82270233, U2001224the Science and Technology Program of Guangzhou 202201011041
6 · The paper itself

Abstract

Adoptive T cell therapy is a pivotal strategy in cancer immunotherapy, demonstrating potent clinical efficacy. However, its limited durability often results in primary resistance. High-throughput screening technologies, which include both genetic and non-genetic approaches, facilitate the optimization of adoptive T cell therapies by enabling the selection of biologically significant targets or substances from extensive libraries. In this review, we examine advancements in high-throughput screening technologies and their applications in adoptive T cell therapies. We highlight the use of genetic screening for T cells, tumor cells, and other promising combination strategies, and elucidate the role of non-genetic screening in identifying small molecules and targeted delivery systems relevant to adoptive T cell therapies, providing guidance for future research and clinical applications.

Indexed as

Adoptive T cell therapiesCAR-T cellsCRISPR screeningGenetic screeningHigh-throughput screeningNon-genetic screeningTCR-T cells

Identifiers

PMID39538305
PMCPMC11562648

What OpenQuestion holds

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LicenceCC BY
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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.