Evidence map›Paper›PMID 25516478›Full record

ArticleCancer immunology research2015

Checkpoint blockade immunotherapy relies on T-bet but not Eomes to induce effector function in tumor-infiltrating CD8+ T cells.

Melissa M Berrien-Elliott, Jinyun Yuan, Lauryn E Swier, Stephanie R Jackson, Collin L Chen, Maureen J Donlin, Ryan M Teague

Open access · bronzeAbstract read
In one paragraph

Article in Cancer immunology research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
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

22 citing papers in PubMed, 34 citations in OpenAlex.

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  10. Neoadjuvant FOLFIRINOX Therapy Is Associated with Increased Effector T Cells and Reduced Suppressor Cells in Patients with Pancreatic Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Article
  11. TargetingFrontiers in immunology · 2021
    Article
  12. CD8Journal for immunotherapy of cancer · 2020
    Article
  13. Article
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  18. Mitochondrial activation chemicals synergize with surface receptor PD-1 blockade for T cell-dependent antitumor activity.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  19. Review
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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

7 authors at 2 institutions in 2 countries.

Melissa M Berrien-ElliottDepartment of Molecular Microbiology and Immunology, Saint Louis University School of Medicine, St. Louis, Missouri.
Jinyun YuanDepartment of Molecular Microbiology and Immunology, Saint Louis University School of Medicine, St. Louis, Missouri.
Lauryn E SwierDepartment of Molecular Microbiology and Immunology, Saint Louis University School of Medicine, St. Louis, Missouri.
Stephanie R JacksonDepartment of Molecular Microbiology and Immunology, Saint Louis University School of Medicine, St. Louis, Missouri.
Collin L ChenDepartment of Molecular Microbiology and Immunology, Saint Louis University School of Medicine, St. Louis, Missouri.
Maureen J DonlinDepartment of Molecular Microbiology and Immunology, Saint Louis University School of Medicine, St. Louis, Missouri. Department of Biochemistry and Molecular Biology, Saint Louis University School of Medicine, St. Louis, Missouri.
Ryan M TeagueDepartment of Molecular Microbiology and Immunology, Saint Louis University School of Medicine, St. Louis, Missouri. Saint Louis University Cancer Center, St. Louis, Missouri. rteague@slu.edu.
Saint Louis University · USSaint Louis University · ES

Funding

Exploiting dual-TCR for rescue of CD8 T cell tolerance in adoptive immunotherapyR01AI087764 · NIAID · SAINT LOUIS UNIVERSITY · PI TEAGUE, RYAN M · 2010 to 2014
$1.8M
Defining the role of T-bet and Eomes in CD8 T cell tolerance versus immunityF30CA180375 · NCI · SAINT LOUIS UNIVERSITY · PI JACKSON, STEPHANIE RENAE · 2013 to 2015
$123k
NCI NIH HHS F30 CA180375NCI NIH HHS F30CA180375NIAID NIH HHS R01 AI087764NIAID NIH HHS R01AI087764
6 · The paper itself

Abstract

Coinhibitory receptor blockade is a promising strategy to boost T-cell immunity against a variety of human cancers. However, many patients still do not benefit from this treatment, and responders often experience immune-related toxicities. These issues highlight the need for advanced mechanistic understanding to improve patient outcomes and uncover clinically relevant biomarkers of treatment efficacy. However, the T-cell-intrinsic signaling pathways engaged during checkpoint blockade treatment are not well defined, particularly for combination approaches. Using a murine model to study how effector CD8(+) T-cell responses to tumors may be enhanced in a tolerizing environment, we identified a critical role for the T-box transcription factor T-bet. Combination blockade of CTLA-4, PD-1, and LAG-3 induced T-bet expression in responding tumor/self-reactive CD8(+) T cells. Eradication of established leukemia using this immunotherapy regimen depended on T-bet induction, which was required for IFNγ production and cytotoxicity by tumor-infiltrating T cells, and for efficient trafficking to disseminated tumor sites. These data provide new insight into the success of checkpoint blockade for cancer immunotherapy, revealing T-bet as a key transcriptional regulator of tumor-reactive CD8(+) T-cell effector differentiation under otherwise tolerizing conditions.

Indexed as

AnimalsCD8-Positive T-LymphocytesCell Line, TumorCytotoxicity, ImmunologicGene Expression Regulation, NeoplasticImmune ToleranceImmunotherapyLeukemia, ExperimentalLymphocytes, Tumor-InfiltratingMice, TransgenicNeoplasm TransplantationT-bet Transcription FactorT-Box Domain ProteinsEomes protein, mouseT-bet Transcription FactorT-Box Domain Proteins

Identifiers

PMID25516478
PMCPMC4324019
OpenAlexW2007386339

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.