Evidence map›Paper›PMID 31641119›Full record

ArticleNature communications2019

A multiscale signalling network map of innate immune response in cancer reveals cell heterogeneity signatures.

Maria Kondratova, Urszula Czerwinska, Nicolas Sompairac, Sebastian D Amigorena, Vassili Soumelis, Emmanuel Barillot, Andrei Zinovyev, Inna Kuperstein

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

32 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
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  3. Review
  4. Article
  5. Tumor-associated myeloid cells in cancer immunotherapy.Journal of hematology & oncology · 2023
    Review
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  7. Review
  8. Article
  9. Article
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  12. Article
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  15. Article
  16. Article
  17. Multiscale modeling in disease.Current opinion in systems biology · 2021
    Article
  18. Review
  19. Review
  20. Article
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 1 institution in 1 country.

Maria KondratovaInstitut Curie, PSL Research University, Mines Paris Tech, Inserm, U900, 75005, Paris, France.
Urszula CzerwinskaInstitut Curie, PSL Research University, Mines Paris Tech, Inserm, U900, 75005, Paris, France.ORCID http://orcid.org/0000-0002-5244-0708
Nicolas SompairacInstitut Curie, PSL Research University, Mines Paris Tech, Inserm, U900, 75005, Paris, France.ORCID http://orcid.org/0000-0001-8759-2077
Sebastian D AmigorenaInstitut Curie, PSL Research University, Inserm, U932, 75005, Paris, France.
Vassili SoumelisInstitut Curie, PSL Research University, Inserm, U932, 75005, Paris, France.ORCID http://orcid.org/0000-0003-1849-9834
Emmanuel BarillotInstitut Curie, PSL Research University, Mines Paris Tech, Inserm, U900, 75005, Paris, France.ORCID http://orcid.org/0000-0003-2724-2002
Andrei ZinovyevInstitut Curie, PSL Research University, Mines Paris Tech, Inserm, U900, 75005, Paris, France.ORCID http://orcid.org/0000-0002-9517-7284
Inna KupersteinInstitut Curie, PSL Research University, Mines Paris Tech, Inserm, U900, 75005, Paris, France. inna.kuperstein@curie.fr.ORCID http://orcid.org/0000-0001-8086-8915
Inserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lack of integrated resources depicting the complexity of the innate immune response in cancer represents a bottleneck for high-throughput data interpretation. To address this challenge, we perform a systematic manual literature mining of molecular mechanisms governing the innate immune response in cancer and represent it as a signalling network map. The cell-type specific signalling maps of macrophages, dendritic cells, myeloid-derived suppressor cells and natural killers are constructed and integrated into a comprehensive meta map of the innate immune response in cancer. The meta-map contains 1466 chemical species as nodes connected by 1084 biochemical reactions, and it is supported by information from 820 articles. The resource helps to interpret single cell RNA-Seq data from macrophages and natural killer cells in metastatic melanoma that reveal different anti- or pro-tumor sub-populations within each cell type. Here, we report a new open source analytic platform that supports data visualisation and interpretation of tumour microenvironment activity in cancer.

Indexed as

Immunity, InnateDendritic CellsHumansKiller Cells, NaturalMacrophagesNeoplasmsSignal TransductionTumor Microenvironment

Identifiers

PMID31641119
PMCPMC6805895
OpenAlexW2981988492

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.