Evidence map›Paper›PMID 35737508›Full record

ArticleInternational journal of cancer2022

Genetic and methylation profiles distinguish benign, malignant and spitzoid melanocytic tumors.

Anne Zaremba, Philipp Jansen, Rajmohan Murali, Anand Mayakonda, Anna Riedel, Manuel Philip, Christian Rose, Jörg Schaller, Hansgeorg Müller, Heinz Kutzner and 14 more

Open access · hybridAbstract read
In one paragraph

Article in International journal of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

24 authors at 6 institutions in 2 countries.

Anne ZarembaDepartment of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.ORCID 0000-0002-6932-0489
Philipp JansenDepartment of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.ORCID 0000-0003-3139-2118
Rajmohan MuraliDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0001-6988-4295
Anand MayakondaDivision of Cancer Epigenomics, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0003-1162-687X
Anna RiedelDivision of Cancer Epigenomics, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0002-0626-3894
Manuel PhilipDepartment of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.ORCID 0000-0003-4704-5778
Christian RoseDermatohistology Laboratory Lübeck, Lübeck, Germany.ORCID 0000-0002-3882-1256
Jörg SchallerDermatopathology Duisburg-Essen, Essen, Germany.ORCID 0000-0003-0477-5877
Hansgeorg MüllerDermatohistology am Stachus, Munich, Germany.ORCID 0000-0002-9987-1986
Heinz KutznerDermatopathology Friedrichshafen, Friedrichshafen, Germany.ORCID 0000-0001-6248-3050
Inga MöllerDepartment of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.ORCID 0000-0003-0607-971X
Nadine StadtlerDepartment of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.ORCID 0000-0002-1262-676X
Julia KretzDepartment of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.ORCID 0000-0002-5408-4583
Antje SuckerDepartment of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.ORCID 0000-0002-2753-9626
Agnes BankfalviDepartment of Pathology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Elisabeth LivingstoneDepartment of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.ORCID 0000-0001-8279-9239
Lisa ZimmerDepartment of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.ORCID 0000-0002-3680-3521
Susanne HornDepartment of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.ORCID 0000-0002-2902-0377
Annette PaschenDepartment of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.ORCID 0000-0003-1651-1262
Christoph PlassDivision of Cancer Epigenomics, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0003-2554-3952
Dirk SchadendorfDepartment of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.ORCID 0000-0003-3524-7858
Eva HadaschikDepartment of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.ORCID 0000-0001-6305-5963
Pavlo LutsikDivision of Cancer Epigenomics, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0001-9383-8555
Klaus GriewankDepartment of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.ORCID 0000-0003-3899-9449
German Cancer Research Center · DEEssen University Hospital · DEDermatopathologie Friedrichshafen · DEMemorial Sloan Kettering Cancer Center · USMünchen Klinik · DEUniversity of Duisburg-Essen · DE

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Accurate classification of melanocytic tumors is important for prognostic evaluation, treatment and follow-up protocols of patients. The majority of melanocytic proliferations can be classified solely based on clinical and pathological criteria, however in select cases a definitive diagnostic assessment remains challenging and additional diagnostic biomarkers would be advantageous. We analyzed melanomas, nevi, Spitz nevi and atypical spitzoid tumors using parallel sequencing (exons of 611 genes and 507 gene translocation analysis) and methylation arrays (850k Illumina EPIC). By combining detailed genetic and epigenetic analysis with reference-based and reference-free DNA methylome deconvolution we compared Spitz nevi to nevi and melanoma and assessed the potential for these methods in classifying challenging spitzoid tumors. Results were correlated with clinical and histologic features. Spitz nevi were found to cluster independently of nevi and melanoma and demonstrated a different mutation profile. Multiple copy number alterations and TERT promoter mutations were identified only in melanomas. Genome-wide methylation in Spitz nevi was comparable to benign nevi while the Leukocytes UnMethylation for Purity (LUMP) algorithm in Spitz nevi was comparable to melanoma. Histologically difficult to classify Spitz tumor cases were assessed which, based on methylation arrays, clustered between Spitz nevi and melanoma and in terms of genetic profile or copy number variations demonstrated worrisome features suggesting a malignant neoplasm. Comprehensive sequencing and methylation analysis verify Spitz nevi as an independent melanocytic entity distinct from both nevi and melanoma. Combined genetic and methylation assays can offer additional insights in diagnosing difficult to classify Spitzoid tumors.

Indexed as

MelanomaNevus, Epithelioid and Spindle CellParagangliomaSkin NeoplasmsDiagnosis, DifferentialDNA Copy Number VariationsHumansMethylationSyndromeatypical spitzoid lesionmalignant melanomamethylation profilingmutation profilingSpitz nevusspitzoid melanoma

Identifiers

PMID35737508
PMCPMC9474633
OpenAlexW4283330540

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.