Evidence map›Paper›PMID 36747021›Full record

ReviewNature reviews. Cancer2023

Therapeutic targeting of tumour myeloid cells.

Simon T Barry, Dmitry I Gabrilovich, Owen J Sansom, Andrew D Campbell, Jennifer P Morton

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 206 papers.

0numbers the graph read from it
0cells of the map it votes in
206citing papers in PubMed
43.4field-weighted citation impact, top 1% 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

206 citing papers in PubMed, 264 citations in OpenAlex.

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  11. Combinatorial Delivery of Low-Dose Radiotherapy and Immunotherapy to Patients with Immune-Excluded Tumors Enhances CD8+ T-cell Functionality.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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  20. Multiregional profiling revealsScience advances · 2026
    Article

146 more citing papers are in PubMed but not listed here.

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 3 institutions in 4 countries.

Simon T BarryBioscience, Early Oncology, AstraZeneca, Cambridge, UK. simon.t.barry@astrazeneca.com.ORCID 0000-0002-8511-0588
Dmitry I GabrilovichBioscience, Early Oncology, AstraZeneca, Gaithersburg, MD, USA.ORCID 0000-0001-9913-6407
Owen J SansomCancer Research UK Beatson Institute, Glasgow, UK.ORCID 0000-0001-9540-3010
Andrew D CampbellCancer Research UK Beatson Institute, Glasgow, UK.
Jennifer P MortonCancer Research UK Beatson Institute, Glasgow, UK.
Cancer Research UK Scotland Institute · GBAstraZeneca (United Kingdom) · GBAstraZeneca (United States) · US

Funding

Cancer Research UK 29996
6 · The paper itself

Abstract

Myeloid cells are pivotal within the immunosuppressive tumour microenvironment. The accumulation of tumour-modified myeloid cells derived from monocytes or neutrophils - termed 'myeloid-derived suppressor cells' - and tumour-associated macrophages is associated with poor outcome and resistance to treatments such as chemotherapy and immune checkpoint inhibitors. Unfortunately, there has been little success in large-scale clinical trials of myeloid cell modulators, and only a few distinct strategies have been used to target suppressive myeloid cells clinically so far. Preclinical and translational studies have now elucidated specific functions for different myeloid cell subpopulations within the tumour microenvironment, revealing context-specific roles of different myeloid cell populations in disease progression and influencing response to therapy. To improve the success of myeloid cell-targeted therapies, it will be important to target tumour types and patient subsets in which myeloid cells represent the dominant driver of therapy resistance, as well as to determine the most efficacious treatment regimens and combination partners. This Review discusses what we can learn from work with the first generation of myeloid modulators and highlights recent developments in modelling context-specific roles for different myeloid cell subtypes, which can ultimately inform how to drive more successful clinical trials.

Indexed as

Myeloid-Derived Suppressor CellsNeoplasmsHumansImmunotherapyMyeloid CellsNeutrophilsTumor Microenvironment

Identifiers

PMID36747021
OpenAlexW4319298155

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.