Evidence map›Paper›PMID 29545604›Full record

ArticleOncogene2018

Collagen abundance controls melanoma phenotypes through lineage-specific microenvironment sensing.

Zsofia Miskolczi, Michael P Smith, Emily J Rowling, Jennifer Ferguson, Jorge Barriuso, Claudia Wellbrock

Open access · hybridAbstract read
In one paragraph

Article in Oncogene, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

83 citing papers in PubMed, 124 citations in OpenAlex.

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23 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

6 authors at 1 institution in 1 country.

Zsofia MiskolcziManchester Cancer Research Centre, Faculty of Biology, Medicine and Health, School of Medical Sciences, Division of Cancer Sciences, The University of Manchester, Michael Smith Building, Oxford Road, Manchester, M13 9PT, UK.
Michael P SmithManchester Cancer Research Centre, Faculty of Biology, Medicine and Health, School of Medical Sciences, Division of Cancer Sciences, The University of Manchester, Michael Smith Building, Oxford Road, Manchester, M13 9PT, UK.
Emily J RowlingManchester Cancer Research Centre, Faculty of Biology, Medicine and Health, School of Medical Sciences, Division of Cancer Sciences, The University of Manchester, Michael Smith Building, Oxford Road, Manchester, M13 9PT, UK.
Jennifer FergusonManchester Cancer Research Centre, Faculty of Biology, Medicine and Health, School of Medical Sciences, Division of Cancer Sciences, The University of Manchester, Michael Smith Building, Oxford Road, Manchester, M13 9PT, UK.
Jorge BarriusoManchester Cancer Research Centre, Faculty of Biology, Medicine and Health, School of Medical Sciences, Division of Cancer Sciences, The University of Manchester, Michael Smith Building, Oxford Road, Manchester, M13 9PT, UK.
Claudia WellbrockManchester Cancer Research Centre, Faculty of Biology, Medicine and Health, School of Medical Sciences, Division of Cancer Sciences, The University of Manchester, Michael Smith Building, Oxford Road, Manchester, M13 9PT, UK. Claudia.Wellbrock@manchester.ac.uk.ORCID http://orcid.org/0000-0002-3825-6381
University of Manchester · GB

Funding

Cancer Research UK 16416Cancer Research UK A16416Medical Research Council MR/L011840/1Wellcome Trust
6 · The paper itself

Abstract

Despite the general focus on an invasive and de-differentiated phenotype as main driver of cancer metastasis, in melanoma patients many metastatic lesions display a high degree of pigmentation, indicative for a differentiated phenotype. Indeed, studies in mice and fish show that melanoma cells switch to a differentiated phenotype at secondary sites, possibly because in melanoma differentiation is closely linked to proliferation through the lineage-specific transcriptional master regulator MITF. Importantly, while a lot of effort has gone into identifying factors that induce the de-differentiated/invasive phenotype, it is not well understood how the switch to the differentiated/proliferative phenotype is controlled. We identify collagen as a contributor to this switch. We demonstrate that collagen stiffness induces melanoma differentiation through a YAP/PAX3/MITF axis and show that in melanoma patients increased collagen abundance correlates with nuclear YAP localization. However, the interrogation of large patient datasets revealed that in the context of the tumour microenvironment, YAP function is more complex. In the absence of fibroblasts, YAP/PAX3-mediated transcription prevails, but in the presence of fibroblasts tumour growth factor-β suppresses YAP/PAX3-mediated MITF expression and induces YAP/TEAD/SMAD-driven transcription and a de-differentiated phenotype. Intriguingly, while high collagen expression is correlated with poorer patient survival, the worst prognosis is seen in patients with high collagen expression, who also express MITF target genes such as the differentiation markers TRPM1, TYR and TYRP1, as well as CDK4. In summary, we reveal a distinct lineage-specific route of YAP signalling that contributes to the regulation of melanoma pigmentation and uncovers a set of potential biomarkers predictive for poor survival.

Indexed as

AcyltransferasesAdaptor Proteins, Signal TransducingBiomarkers, TumorCell AdhesionCell DifferentiationCell LineageCell Line, TumorCell NucleusCell ProliferationCollagenExtracellular MatrixFibroblastsGene Expression Regulation, NeoplasticHumansMelanomaMicrophthalmia-Associated Transcription FactorAcyltransferasesAdaptor Proteins, Signal TransducingBiomarkers, TumorCollagenMicrophthalmia-Associated Transcription FactorMITF protein, humanPhosphoproteinsTAFAZZIN protein, humanTranscription FactorsYAP1 protein, humanYAP-Signaling Proteins

Identifiers

PMID29545604
PMCPMC5992128
OpenAlexW2787222113

What OpenQuestion holds

Textmetadata
LicenceTDM
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.