Evidence map›Paper›PMID 24987395›Full record

ReviewFrontiers in immunology2014

Modulation of antigen-specific T-cells as immune therapy for chronic infectious diseases and cancer.

Suling Li, Alistair L J Symonds, Tizong Miao, Ian Sanderson, Ping Wang

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Reactivation of low avidity tumor-specific CD8Journal for immunotherapy of cancer · 2023
    Article
  3. Article
  4. Article
  5. Protein-based nanoparticles in cancer vaccine development.Nanomedicine : nanotechnology, biology, and medicine · 2019
    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

5 authors at 1 institution in 1 country.

Suling LiBioscience, Brunel University , London , UK.
Alistair L J SymondsBlizard Institute (BICMS), Barts and the London School of Medicine and Dentistry , London , UK.
Tizong MiaoBlizard Institute (BICMS), Barts and the London School of Medicine and Dentistry , London , UK.
Ian SandersonBlizard Institute (BICMS), Barts and the London School of Medicine and Dentistry , London , UK.
Ping WangBlizard Institute (BICMS), Barts and the London School of Medicine and Dentistry , London , UK.
Queen Mary University of London · GB

Funding

Medical Research Council G0300520
6 · The paper itself

Abstract

T-cell responses are induced by antigen presenting cells (APC) and signals from the microenvironment. Antigen persistence and inflammatory microenvironments in chronic infections and cancer can induce a tolerant state in T-cells resulting in hyporesponsiveness, loss of effector function, and weak biochemical signaling patterns in response to antigen stimulation. Although the mechanisms of T-cell tolerance induced in chronic infection and cancer may differ from those involved in tolerance to self-antigen, the impaired proliferation and production of IL-2 in response to antigen stimulation are hallmarks of all tolerant T cells. In this review, we will summarize the evidence that the immune responses change from non-self to "self"-like in chronic infection and cancer, and will provide an overview of strategies for re-balancing the immune response of antigen-specific T cells in chronic infection and cancer without affecting the homeostasis of the immune system.

Indexed as

antigen-specific T cellsbystander T-cellsnanoAPCreverse tolerancetolerance induction

Identifiers

PMID24987395
PMCPMC4060297
OpenAlexW2097353137

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.