ReviewImmunology2021
Post-transcriptional control of T-cell cytokine production: Implications for cancer therapy.
Review in Immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Carnosic acid alleviates 5-Fluorouracil chemoresistance and enhances CD8Frontiers in immunology · 2026Article
- Sez6L2 autoimmunity induces cerebellar ataxia in mice.Journal of neuroinflammation · 2025Article
- nELISA: a high-throughput, high-plex platform enables quantitative profiling of the inflammatory secretome.Nature methods · 2025Article
- Optimizing CAR-T cell therapy for solid tumors: current challenges and potential strategies.Journal of hematology & oncology · 2024Review
- Circ-CAMTA1 regulated by CaArthritis research & therapy · 2024Article
- Targeting a disintegrin and metalloprotease (ADAM) 17-CD122 axis enhances CD8Signal transduction and targeted therapy · 2024Article
- Employing CRISPR-Cas9 to Enhance T Cell Effector Function.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Multiple roles for AU-rich RNA binding proteins in the development of haematologic malignancies and their resistance to chemotherapy.RNA biology · 2024Review
- Interaction between gut microbiota and immune checkpoint inhibitor-related colitis.Frontiers in immunology · 2022Review
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As part of the adaptive immune system, T cells are vital for the eradication of infected and malignantly transformed cells. To perform their protective function, T cells produce effector molecules that are either directly cytotoxic, such as granzymes, perforin, interferon-γ and tumour necrosis factor α, or attract and stimulate (immune) cells, such as interleukin-2. As these molecules can also induce immunopathology, tight control of their production is required. Indeed, inflammatory cytokine production is regulated on multiple levels. Firstly, locus accessibility and transcription factor availability and activity determine the amount of mRNA produced. Secondly, post-transcriptional mechanisms, influencing mRNA splicing/codon usage, stability, decay, localization and translation rate subsequently determine the amount of protein that is produced. In the immune suppressive environments of tumours, T cells gradually lose the capacity to produce effector molecules, resulting in tumour immune escape. Recently, the role of post-transcriptional regulation in fine-tuning T-cell effector function has become more appreciated. Furthermore, several groups have shown that exhausted or dysfunctional T cells from cancer patients or murine models possess mRNA for inflammatory mediators, but fail to produce effector molecules, hinting that post-transcriptional events also play a role in hampering tumour-infiltrating lymphocyte effector function. Here, the post-transcriptional regulatory events governing T-cell cytokine production are reviewed, with a specific focus on the importance of post-transcriptional regulation in anti-tumour responses. Furthermore, potential approaches to circumvent tumour-mediated dampening of T-cell effector function through the (dis)engagement of post-transcriptional events are explored, such as CRISPR/Cas9-mediated genome editing or chimeric antigen receptors.
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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.