Evidence map›Paper›PMID 31515461›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2019

Transcriptomic Analysis Reveals Prognostic Molecular Signatures of Stage I Melanoma.

Rohit Thakur, Jonathan P Laye, Martin Lauss, Joey Mark S Diaz, Sally Jane O'Shea, Joanna Poźniak, Anastasia Filia, Mark Harland, Joanne Gascoyne, Juliette A Randerson-Moor and 7 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Functional characterization of the 9q34.13 locus identifiesbioRxiv : the preprint server for biology · 2026
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  7. SPP2 plays a role in the tumorigenesis of hepatocellular carcinoma: A bioinformatic based analysis.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023
    Article
  8. Review
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  16. Review
  17. Article
  18. Unsupervised Phenotype-Based Clustering of Clinicopathologic Features in Cutaneous Melanoma.JID innovations : skin science from molecules to population health · 2021
    Article
  19. Article
  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

17 authors.

Rohit ThakurUniversity of Leeds School of Medicine, Leeds, United Kingdom.
Jonathan P LayeUniversity of Leeds School of Medicine, Leeds, United Kingdom.
Martin LaussDivision of Oncology and Pathology, Department of Clinical Sciences Lund, Faculty of Medicine, Lund University, Lund, Sweden.
Joey Mark S DiazUniversity of Leeds School of Medicine, Leeds, United Kingdom.
Sally Jane O'SheaMater Private Hospital Cork, Mahon, Cork, Ireland.
Joanna PoźniakUniversity of Leeds School of Medicine, Leeds, United Kingdom.
Anastasia FiliaCentre for Translational Research, Biomedical Research Foundation of the Academy of Athens (BRFAA), Athens, Greece.
Mark HarlandUniversity of Leeds School of Medicine, Leeds, United Kingdom.
Joanne GascoyneUniversity of Leeds School of Medicine, Leeds, United Kingdom.
Juliette A Randerson-MoorUniversity of Leeds School of Medicine, Leeds, United Kingdom.
May ChanUniversity of Leeds School of Medicine, Leeds, United Kingdom.
Tracey MellUniversity of Leeds School of Medicine, Leeds, United Kingdom.
Göran JönssonDivision of Oncology and Pathology, Department of Clinical Sciences Lund, Faculty of Medicine, Lund University, Lund, Sweden.
D Timothy BishopUniversity of Leeds School of Medicine, Leeds, United Kingdom.ORCID 0000-0002-8752-8785
Julia Newton-Bishop *University of Leeds School of Medicine, Leeds, United Kingdom.ORCID 0000-0001-9147-6802
Jennifer H Barrett *University of Leeds School of Medicine, Leeds, United Kingdom.ORCID 0000-0002-1720-7724
Jérémie Nsengimana *University of Leeds School of Medicine, Leeds, United Kingdom. J.Nsengimana@leeds.ac.uk.

Funding

Genetic Epidermiology of MelanomaR01CA083115 · NCI · UNIVERSITY OF PENNSYLVANIA · PI BISHOP, DAVID TIMOTHY, ELDER, DAVID ERIC · 2001 to 2017
$13.0M
Cancer Research UK 10589Cancer Research UK 11963Cancer Research UK 19167Cancer Research UK A10721Cancer Research UK A19167Cancer Research UK A6129Cancer Research UK C588/A10721Cancer Research UK C588/A19167Cancer Research UK C8216/A6129Medical Research Council MR/L01629X/1NCI NIH HHS R01 CA083115
6 · The paper itself

Abstract

purposePreviously identified transcriptomic signatures have been based on primary and metastatic melanomas with relatively few American Joint Committee on Cancer (AJCC) stage I tumors, given difficulties in sampling small tumors. The advent of adjuvant therapies has highlighted the need for better prognostic and predictive biomarkers, especially for AJCC stage I and stage II disease. EXPERIMENTAL

designA total of 687 primary melanoma transcriptomes were generated from the Leeds Melanoma Cohort (LMC). The prognostic value of existing signatures across all the AJCC stages was tested. Unsupervised clustering was performed, and the prognostic value of the resultant signature was compared with that of sentinel node biopsy (SNB) and tested as a biomarker in three published immunotherapy datasets.

resultsPrevious Lund and The Cancer Genome Atlas signatures predicted outcome in the LMC dataset (

conclusionsA transcriptomic signature of primary melanoma was identified with prognostic value, including in stage I melanoma and in patients undergoing immunotherapy.

Indexed as

Gene Expression Regulation, NeoplasticTranscriptomeAdolescentAdultAgedAged, 80 and overBiomarkers, TumorCohort StudiesComputational BiologyCutaneous Malignant MelanomaFemaleHumansImmunotherapyMaleMelanomaMiddle AgedBiomarkers, Tumor

Identifiers

PMID31515461
PMCPMC7617074

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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.