Evidence map›Paper›PMID 31970443›Full record

ReviewHNO2020

[Allergo-oncology: what allergologists and oncologists can learn from each other : Regulatory T cells in allergy and cancer].

Christoph Bergmann

Abstract readReview
PubMed Publisher
In one paragraph

Review in HNO, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 99% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

1 author at 1 institution in 1 country.

Christoph BergmannENT Research Institut für Klinische Studien, Bocholder Str. 2, 45355, Essen, Deutschland. bergmann@ent-research.de.
BG University Hospital Bergmannsheil Bochum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe immune system has substantial involvement in the pathophysiology of allergies and cancer. The complexity of the immune system is well balanced in health, in so-called immune homeostasis. In many diseases, as in allergies and cancer, this balance is disturbed. The tolerance to foreign but harmless substances, such as tree or grass pollen, is no longer sufficiently given in allergic patients. In cancer patients, the immune system is tolerant to harmful tumor cells. Thus, allergies and cancer show an opposing pattern in terms of immune tolerance. The group of regulatory T cells occupies a central position here.

objectiveThis article deals with the function of regulatory T cells in detail. This group of immune cells and its interaction with other involved immune cells and messenger signals in the pathophysiology and treatment of allergies and cancer are presented.

methodsA review article was compiled based on the pertinent literature.

resultsThe regulatory T cells of cancer patients are a mechanism of the so-called tumor escape phenomenon to hide from the immune system. The tumor uses danger signals, e.g., the HMGB1 protein, to mediate tolerance to the immune system through these cells and thus avoid elimination. In allergic patients, these cells are underrepresented and can be induced by a specific immunotherapy, in order to achieve tolerance to the allergens and thus a causal treatment.

conclusionRegulatory T cells play an important role in the pathogenesis of cancer and allergies, and thus represent a therapeutic target.

Indexed as

HypersensitivityNeoplasmsT-Lymphocytes, RegulatoryAllergensHumansImmune ToleranceAllergensHead and neck neoplasmsHMGB1 proteinImmune system phenomenaImmune toleranceRegulatory T lymphocytes

Identifiers

PMID31970443
OpenAlexW3002013962

What OpenQuestion holds

Textmetadata
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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.