Evidence map›Paper›PMID 24904823›Full record

ReviewFrontiers in oncology2014

Targeting T cell immunometabolism for cancer immunotherapy; understanding the impact of the tumor microenvironment.

Mary B Mockler, Melissa J Conroy, Joanne Lysaght

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 88 citations in OpenAlex.

  1. Long Noncoding RNA KCNQ1OT1 is a Prognostic Biomarker and mediates CD8International journal of biological sciences · 2021
    Pooled it
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  15. Immunometabolism in biofilm infection: lessons from cancer.Molecular medicine (Cambridge, Mass.) · 2022
    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

3 authors at 1 institution in 1 country.

Mary B MocklerDepartment of Surgery, Trinity Centre for Health Sciences, St. James's Hospital, Trinity College Dublin , Dublin , Ireland.
Melissa J ConroyDepartment of Surgery, Trinity Centre for Health Sciences, St. James's Hospital, Trinity College Dublin , Dublin , Ireland.
Joanne LysaghtDepartment of Surgery, Trinity Centre for Health Sciences, St. James's Hospital, Trinity College Dublin , Dublin , Ireland.
St. James's Hospital · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The immune system has a key role to play in controlling cancer initiation and progression. T cell activation, which is central to anti-tumor immune responses, coincides with changes in cellular metabolism. Naïve T cells predominantly require an ATP generating metabolic profile, whereas proliferating effector T cells require anabolic metabolic profiles that promote rapid growth and proliferation. Furthermore, specific T cell subsets require distinct energetic and biosynthetic pathways to match their functional requirements. The often hostile tumor microenvironment can affect T cell immune responses by altering the resulting cellular metabolism. Tailoring immune responses by manipulating cellular metabolic pathways may provide an exciting new option for cancer immunotherapy. T cell responses might also be skewed via metabolic manipulation to treat the complications of obesity-associated inflammation, which is a rapidly growing global health problem and a major risk factor for many malignancies. In this review, the diverse metabolic requirements of T cells in anti-tumor immunity are discussed, as well as the profound influence of the tumor microenvironment and the possible avenues for manipulation to enhance anti-tumor immunity.

Indexed as

cancerimmunometabolismmetabolic targeting agentsobesityT cells

Identifiers

PMID24904823
PMCPMC4032940
OpenAlexW2130984411

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.