Evidence map›Paper›PMID 38964783›Full record

ArticleJournal for immunotherapy of cancer2024

Genetically engineering glycolysis in T cells increases their antitumor function.

Raphaëlle Toledano Zur, Orna Atar, Tilda Barliya, Shiran Hoogi, Ifat Abramovich, Eyal Gottlieb, Noga Ron-Harel, Cyrille J Cohen

Abstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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

8 authors.

Raphaëlle Toledano ZurBar-Ilan University, Ramat Gan, Israel.
Orna AtarTechnion Israel Institute of Technology, Haifa, Haifa, Israel.
Tilda BarliyaBar-Ilan University, Ramat Gan, Israel.
Shiran HoogiBar-Ilan University, Ramat Gan, Israel.
Ifat AbramovichTechnion Israel Institute of Technology, Haifa, Haifa, Israel.
Eyal GottliebTechnion Israel Institute of Technology, Haifa, Haifa, Israel.
Noga Ron-HarelTechnion Israel Institute of Technology, Haifa, Haifa, Israel.
Cyrille J CohenFaculty of Life Sciences, Bar-Ilan University, Ramat Gan, Tel Aviv, Israel cyrille.cohen@biu.ac.il.ORCID http://orcid.org/0000-0002-0619-5959

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundT cells play a central role in the antitumor response. However, they often face numerous hurdles in the tumor microenvironment, including the scarcity of available essential metabolites such as glucose and amino acids. Moreover, cancer cells can monopolize these resources to thrive and proliferate by upregulating metabolite transporters and maintaining a high metabolic rate, thereby outcompeting T cells.

methodsHerein, we sought to improve T-cell antitumor function in the tumor vicinity by enhancing their glycolytic capacity to better compete with tumor cells. To achieve this, we engineered human T cells to express a key glycolysis enzyme, phosphofructokinase, in conjunction with Glucose transporter 3, a glucose transporter. We co-expressed these, along with tumor-specific chimeric antigen or T-cell receptors.

resultsEngineered cells demonstrated an increased cytokine secretion and upregulation of T-cell activation markers compared with control cells. Moreover, they displayed superior glycolytic capacity, which translated into an improved in vivo therapeutic potential in a xenograft model of human tumors.

conclusionIn summary, these findings support the implementation of T-cell metabolic engineering to enhance the efficacy of cellular immunotherapies for cancer.

Indexed as

GlycolysisT-LymphocytesAnimalsCell Line, TumorGenetic EngineeringHumansMiceNeoplasmsTumor MicroenvironmentXenograft Model Antitumor AssaysImmunotherapyReceptors, AntigenT-Lymphocytes

Identifiers

PMID38964783
PMCPMC11227835

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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.