Evidence map›Paper›PMID 40335648›Full record

ReviewDermatologie (Heidelberg, Germany)2025

[Biomarkers in adjuvant and neoadjuvant treatment of melanoma].

Julian Kött, Christoffer Gebhardt

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Dermatologie (Heidelberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Julian KöttKlinik und Poliklinik für Dermatologie und Venerologie, Universitätsklinikum Hamburg-Eppendorf (UKE), Hamburg, Deutschland.
Christoffer GebhardtKlinik und Poliklinik für Dermatologie und Venerologie, Universitätsklinikum Hamburg-Eppendorf (UKE), Hamburg, Deutschland. ch.gebhardt@uke.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPersonalized treatment of melanoma is becoming increasingly more important. Biomarkers offer the possibility of controlling treatment more precisely and reducing side effects.

objectiveThe aim of this text is to provide an overview of current tissue-based, blood-based and radiological biomarkers and their clinical application in melanomas. MATERIAL AND

methodsA literature research and analysis of current studies on biomarkers in adjuvant and neoadjuvant treatment of melanomas were carried out and relevant congress contributions were additionally included.

resultsTissue-based programmed cell death 1 ligand 1 (PD-L1) expression, interferon gamma (IFNγ) signature, gene expression profiles (GEP) and tumor mutational burden (TMB) are of prognostic and predictive relevance. Blood-based circulating tumor DNA (ctDNA) in the sense of a liquid biopsy should be emphasized as a personalized biomarker for longitudinal tracking during treatment or aftercare. Positron emission tomography computed tomography (PET-CT) and body composition enable an improved assessment of treatment efficiency. There are currently no data from prospective validation studies on these biomarkers; initial data from the NivoMela study are awaited.

conclusionThe combination of tissue-based, blood-based and radiological biomarkers in terms of multiparametric approaches is promising but further prospective validation is needed for broad clinical use. These are currently not comprehensively implemented in the clinical routine in centers or in remuneration procedures.

Indexed as

Biomarkers, TumorMelanomaNeoadjuvant TherapySkin NeoplasmsB7-H1 AntigenChemotherapy, AdjuvantCirculating Tumor DNAHumansPositron Emission Tomography Computed TomographyPrecision MedicinePrognosisB7-H1 AntigenBiomarkers, TumorCirculating Tumor DNABody compositionGene expression profileImmune checkpoint inhibitionImmunotherapyMinimal residual disease

Identifiers

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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.