Evidence map›Paper›PMID 39707058›Full record

ReviewAmerican journal of clinical dermatology2025

Prognostic Biomarkers in Evolving Melanoma Immunotherapy.

Robin Reschke, Alexander H Enk, Jessica C Hassel

Abstract readReview
In one paragraph

Review in American journal of clinical dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
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  14. CST7Translational cancer research · 2025
    Article
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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

3 authors.

Robin ReschkeMedical Faculty Heidelberg, Department of Dermatology and National Center for Tumor Diseases (NCT), Heidelberg University, NCT Heidelberg, a partnership between DKFZ and University Hospital Heidelberg, Heidelberg, Germany. RobinNiklas.Reschke@med.uni-heidelberg.de.ORCID http://orcid.org/0000-0002-2850-2526
Alexander H EnkMedical Faculty Heidelberg, Department of Dermatology and National Center for Tumor Diseases (NCT), Heidelberg University, NCT Heidelberg, a partnership between DKFZ and University Hospital Heidelberg, Heidelberg, Germany.
Jessica C HasselMedical Faculty Heidelberg, Department of Dermatology and National Center for Tumor Diseases (NCT), Heidelberg University, NCT Heidelberg, a partnership between DKFZ and University Hospital Heidelberg, Heidelberg, Germany.

Funding

Deutsche Krebshilfe 70115384
6 · The paper itself

Abstract

Melanoma, a highly aggressive form of skin cancer, has seen significant advancements in treatment through the introduction of immunotherapy. However, the variability in patient responses underscores the need for reliable biomarkers to guide treatment decisions. This article reviews key biomarkers in melanoma immunotherapy, such as PD-L1 expression, tumor mutational burden (TMB), and gene expression profiles (GEPs). It also explores emerging biomarkers, including LAG-3 expression, immune cell phenotyping in tissue and blood, gut microbiota, and circulating tumor DNA (ctDNA). Notably, ctDNA may offer valuable insights into the efficacy of T cell-engaging bispecific molecules, such as tebentafusp. The review provides a comprehensive overview of the evolving landscape of melanoma biomarkers, their role in personalizing treatment, and future research directions, including neoadjuvant immune checkpoint inhibition.

Indexed as

Biomarkers, TumorImmunotherapyMelanomaSkin NeoplasmsAntigens, CDB7-H1 AntigenCirculating Tumor DNAGastrointestinal MicrobiomeGene Expression ProfilingHumansImmune Checkpoint InhibitorsLymphocyte Activation Gene 3 ProteinMutationPrecision MedicinePrognosisAntigens, CDB7-H1 AntigenBiomarkers, TumorCD274 protein, humanCirculating Tumor DNAImmune Checkpoint InhibitorsLag3 protein, humanLymphocyte Activation Gene 3 Protein

Identifiers

PMID39707058
PMCPMC11850490

What OpenQuestion holds

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LicenceCC BY-NC
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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.