Evidence map›Paper›PMID 34731350›Full record

ReviewBreast cancer research and treatment2022

Breast cancer immune microenvironment: from pre-clinical models to clinical therapies.

Brooke E Wilson, Chiara Gorrini, David W Cescon

Abstract readReview
PubMed Publisher
In one paragraph

Review in Breast cancer research and treatment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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

21 citing papers in PubMed.

  1. GALNT1 emerges as a potential therapeutic target in breast cancer.Journal of cancer research and clinical oncology · 2026
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  10. The Tumor Immune Microenvironment in Breast Cancer Progression.Acta oncologica (Stockholm, Sweden) · 2024
    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.

Brooke E WilsonDivision of Medical Oncology & Hematology, Department of Medicine, Princess Margaret Cancer Centre and the University of Toronto, 610 University Ave, 700U, 7-305W, Toronto, ON, M5G 2M9, Canada.
Chiara GorriniPrincess Margaret Cancer Centre, University Health Network, Toronto, China. chiara.gorrini@icr.ac.uk.
David W CesconDivision of Medical Oncology & Hematology, Department of Medicine, Princess Margaret Cancer Centre and the University of Toronto, 610 University Ave, 700U, 7-305W, Toronto, ON, M5G 2M9, Canada. dave.cescon@uhn.ca.ORCID http://orcid.org/0000-0002-1080-0998

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The breast cancer tumour microenvironment (BC-TME) is characterized by significant cellular and spatial heterogeneity that has important clinical implications and can affect response to therapy. There is a growing need to develop methods that reliably quantify and characterize the BC-TME and model its composition and functions in experimental systems, in the hope of developing new treatments for patients. In this review, we examine the role of immune-activating cells (including tumour-infiltrating lymphocytes and natural killer cells) and immune inhibitory cells (including T regulatory cells, tumour-associated macrophages and myeloid-derived suppressor cells) in the BC-TME. We summarize methods being used to characterize the microenvironment, with specific attention to pre-clinical models including co-cultures, organoids, and genetically modified and humanized mouse models. Finally, we explore the implications and applications of existing preclinical data for drug development and highlight several drugs designed to alter the BC-TME in order to improve treatment outcomes for patients.

Indexed as

Breast NeoplasmsMyeloid-Derived Suppressor CellsAnimalsFemaleHumansImmunotherapyLymphocytes, Tumor-InfiltratingMiceTumor MicroenvironmentBreast cancerImmunotherapyMicroenvironmentPreclinical models

Identifiers

PMID34731350

What OpenQuestion holds

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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.