Evidence map›Paper›PMID 37043573›Full record

ArticleScience advances2023

Localized immune surveillance of primary melanoma in the skin deciphered through executable modeling.

Rowan Howell, James Davies, Matthew A Clarke, Anna Appios, Inês Mesquita, Yashoda Jayal, Ben Ringham-Terry, Isabel Boned Del Rio, Jasmin Fisher, Clare L Bennett

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. The roles of tissue resident macrophages in health and cancer.Experimental hematology & oncology · 2024
    Review
  7. Review
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

10 authors at 1 institution in 1 country.

Rowan HowellUCL Cancer Institute, University College London, 72 Huntley Street, London WC1E 6DD, UK.ORCID 0000-0002-2479-180X
James DaviesUCL Cancer Institute, University College London, 72 Huntley Street, London WC1E 6DD, UK.ORCID 0000-0002-4177-8842
Matthew A ClarkeUCL Cancer Institute, University College London, 72 Huntley Street, London WC1E 6DD, UK.ORCID 0000-0002-2582-9689
Anna AppiosUCL Cancer Institute, University College London, 72 Huntley Street, London WC1E 6DD, UK.ORCID 0000-0002-7111-5126
Inês MesquitaUCL Cancer Institute, University College London, 72 Huntley Street, London WC1E 6DD, UK.
Yashoda JayalUCL Cancer Institute, University College London, 72 Huntley Street, London WC1E 6DD, UK.
Ben Ringham-TerryUCL Cancer Institute, University College London, 72 Huntley Street, London WC1E 6DD, UK.ORCID 0000-0003-3791-6445
Isabel Boned Del RioUCL Cancer Institute, University College London, 72 Huntley Street, London WC1E 6DD, UK.ORCID 0000-0003-3038-3965
Jasmin FisherUCL Cancer Institute, University College London, 72 Huntley Street, London WC1E 6DD, UK.ORCID 0000-0003-4477-9047
Clare L BennettUCL Cancer Institute, University College London, 72 Huntley Street, London WC1E 6DD, UK.ORCID 0000-0001-9146-2347
University College London · GB

Funding

Biotechnology and Biological Sciences Research Council BB/T005246/1Cancer Research UK 28334Cancer Research UK 28870
6 · The paper itself

Abstract

While skin is a site of active immune surveillance, primary melanomas often escape detection. Here, we have developed an in silico model to determine the local cross-talk between melanomas and Langerhans cells (LCs), the primary antigen-presenting cells at the site of melanoma development. The model predicts that melanomas fail to activate LC migration to lymph nodes until tumors reach a critical size, which is determined by a positive TNF-α feedback loop within melanomas, in line with our observations of murine tumors. In silico drug screening, supported by subsequent experimental testing, shows that treatment of primary tumors with MAPK pathway inhibitors may further prevent LC migration. In addition, our in silico model predicts treatment combinations that bypass LC dysfunction. In conclusion, our combined approach of in silico and in vivo studies suggests a molecular mechanism that explains how early melanomas develop under the radar of immune surveillance by LC.

Indexed as

MelanomaSkinAnimalsCell MovementLangerhans CellsMice

Identifiers

PMID37043573
PMCPMC10096595
OpenAlexW4365140212

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.