Evidence map›Paper›PMID 32700092›Full record

ArticleCancer immunology, immunotherapy : CII2021

Impact of histamine H4 receptor deficiency on the modulation of T cells in a murine breast cancer model.

Melisa B Nicoud, Mónica A Táquez Delgado, María de la Paz Sarasola, Agustina Vidal, Daniela Speisky, Graciela A Cremaschi, Helena A Sterle, Vanina A Medina

Open access · greenAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Melisa B NicoudLaboratory of Tumour Biology and Inflammation, Institute for Biomedical Research (BIOMED), School of Medical Sciences, Pontifical Catholic University of Argentina (UCA), National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina.
Mónica A Táquez DelgadoLaboratory of Tumour Biology and Inflammation, Institute for Biomedical Research (BIOMED), School of Medical Sciences, Pontifical Catholic University of Argentina (UCA), National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina.
María de la Paz SarasolaLaboratory of Tumour Biology and Inflammation, Institute for Biomedical Research (BIOMED), School of Medical Sciences, Pontifical Catholic University of Argentina (UCA), National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina.
Agustina VidalInstitute for Biomedical Research (BIOMED), School of Medical Sciences, Pontifical Catholic University of Argentina (UCA), National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina.
Daniela SpeiskyPathology Department, British Hospital, Buenos Aires, Argentina.
Graciela A CremaschiNeuroimmunomodulation and Molecular Oncology Division, Institute for Biomedical Research (BIOMED), School of Medical Sciences, Pontifical Catholic University of Argentina (UCA), National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina.
Helena A SterleNeuroimmunomodulation and Molecular Oncology Division, Institute for Biomedical Research (BIOMED), School of Medical Sciences, Pontifical Catholic University of Argentina (UCA), National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina.
Vanina A MedinaLaboratory of Tumour Biology and Inflammation, Institute for Biomedical Research (BIOMED), School of Medical Sciences, Pontifical Catholic University of Argentina (UCA), National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina. vanina_medina@uca.edu.ar.ORCID http://orcid.org/0000-0002-7767-0729
Consejo Nacional de Investigaciones Científicas y Técnicas · ARHospital Británico de Buenos Aires · AR

Funding

Agencia Nacional de Promoción Científica y Tecnológica PICT2015-0863, PICT2018-03778
6 · The paper itself

Abstract

backgroundThe histamine H4 receptor (H4R) is preferentially expressed in immune cells and is a potential therapeutic target for inflammatory and autoimmune diseases. This study aimed at further exploring the role of H4R in the immunobiology of breast cancer.

methodsWe used wild type (WT) and H4R deficient mice (KO) to evaluate whether H4R genotypes show a different distribution of T cell subsets in spleens, tumours and tumour draining lymph nodes (TDLN) in a syngeneic ErbB2-positive breast cancer model developed orthotopically with LM3 cells and its impact on tumour growth.

resultsThe presence of tumours had a differential impact on the distribution of T cells in TDLN from KO mice compared to WT ones. At day 21 post-inoculation (p.i.) of cells, despite no significant changes in the tumour weight, TDLN from KO mice showed a significantly increased proportion of CD8

conclusionsH4R-mediated mechanisms may modulate the immune tumour microenvironment, promoting an immunosuppressive milieu. Results suggest that H4R could be explored as an immunotherapeutic target with potential benefit in combination with immunotherapy. Further preclinical and clinical studies are necessary to confirm this hypothesis.

Indexed as

AnimalsBreast NeoplasmsCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesDisease Models, AnimalFemaleHistamineInterleukin-2 Receptor alpha SubunitMiceMice, Inbred BALB CMice, KnockoutReceptors, Histamine H4T-Lymphocytes, RegulatoryTumor MicroenvironmentHistamineInterleukin-2 Receptor alpha SubunitReceptors, Histamine H4Antitumour immunityBreast cancerHistamine H4 receptorT regulatory cells

Identifiers

PMID32700092
PMCPMC10992963
OpenAlexW3044637166

What OpenQuestion holds

Textmetadata
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.