Evidence map›Paper›PMID 33418996›Full record

ReviewCancers2021

Cancer Cells Resistance Shaping by Tumor Infiltrating Myeloid Cells.

Marcin Domagala, Chloé Laplagne, Edouard Leveque, Camille Laurent, Jean-Jacques Fournié, Eric Espinosa, Mary Poupot

Abstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Innate Immune Cells in Melanoma: Implications for Immunotherapy.International journal of molecular sciences · 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

7 authors.

Marcin DomagalaCentre de Recherches en Cancérologie de Toulouse, Inserm UMR1037, 31037 Toulouse, France.
Chloé LaplagneCentre de Recherches en Cancérologie de Toulouse, Inserm UMR1037, 31037 Toulouse, France.
Edouard LevequeCentre de Recherches en Cancérologie de Toulouse, Inserm UMR1037, 31037 Toulouse, France.
Camille LaurentCentre de Recherches en Cancérologie de Toulouse, Inserm UMR1037, 31037 Toulouse, France.
Jean-Jacques FourniéCentre de Recherches en Cancérologie de Toulouse, Inserm UMR1037, 31037 Toulouse, France.
Eric EspinosaCentre de Recherches en Cancérologie de Toulouse, Inserm UMR1037, 31037 Toulouse, France.ORCID 0000-0002-3512-0921
Mary PoupotCentre de Recherches en Cancérologie de Toulouse, Inserm UMR1037, 31037 Toulouse, France.ORCID 0000-0002-2688-1091

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interactions between malignant cells and neighboring stromal and immune cells profoundly shape cancer progression. New forms of therapies targeting these cells have revolutionized the treatment of cancer. However, in order to specifically address each population, it was essential to identify and understand their individual roles in interaction between malignant cells, and the formation of the tumor microenvironment (TME). In this review, we focus on the myeloid cell compartment, a prominent, and heterogeneous group populating TME, which can initially exert an anti-tumoral effect, but with time actively participate in disease progression. Macrophages, dendritic cells, neutrophils, myeloid-derived suppressor cells, mast cells, eosinophils, and basophils act alone or in concert to shape tumor cells resistance through cellular interaction and/or release of soluble factors favoring survival, proliferation, and migration of tumor cells, but also immune-escape and therapy resistance.

Indexed as

cancer developmentmicroenvironmentmyeloid cellsresistance

Identifiers

PMID33418996
PMCPMC7825276

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.