Evidence map›Paper›PMID 42056900›Full record

SynthesisCellular & molecular biology letters2026

Differentiation state affects PD-L1 expression in cutaneous melanoma: a systematic review.

Teitur Sævarsson, Hong Nhung Vu, Eiríkur Steingrímsson, Berglind Ósk Einarsdóttir

Abstract readSystematic Review
In one paragraph

Synthesis in Cellular & molecular biology letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Teitur SævarssonDepartment of Biomedical Science, Faculty of Medicine, University of Iceland, Reykjavík, Iceland.ORCID http://orcid.org/0009-0006-9828-8859
Hong Nhung VuDepartment of Biochemistry and Molecular Biology, Faculty of Medicine, BioMedical Center, University of Iceland, Reykjavík, Iceland.ORCID http://orcid.org/0000-0002-8262-900X
Eiríkur SteingrímssonDepartment of Biochemistry and Molecular Biology, Faculty of Medicine, BioMedical Center, University of Iceland, Reykjavík, Iceland.ORCID http://orcid.org/0000-0001-5826-7486
Berglind Ósk EinarsdóttirDepartment of Biomedical Science, Faculty of Medicine, University of Iceland, Reykjavík, Iceland. boe@hi.is.ORCID http://orcid.org/0000-0002-5227-8149

Funding

Icelandic Centre for Research 228528-051Icelandic Centre for Research 2410567
6 · The paper itself

Abstract

backgroundProgrammed death ligand-1 (PD-L1) is a widely used biomarker for immunotherapy in melanoma. The expression of PD-L1 in melanoma cells is known to vary considerably among and within patients' tumor samples. Recent studies suggest that there may be a link between PD-L1 expression and the differentiation status of melanoma cells which is known to fluctuate in response to external stimuli and to be influenced by a multitude of regulators. Here, we systematically review which differentiation regulators affect PD-L1 expression in melanoma.

methodsA systematic review was performed on studies collected through PubMed, Scopus, and Web of Knowledge up until February 13

resultsOut of 496 identified articles, 57 studies met the inclusion criteria. A total of 16 differentiation regulators were significantly associated with PD-L1 expression in melanoma cells. Most studies (45/57) reported a single regulator, while 12/57 reported multiple. STAT3 appeared in 20/57 studies; all other regulators were reported in eight or fewer. PD-L1 expression was positively associated with all dedifferentiation-linked regulators (9/9). Among differentiation-linked regulators, 3/4 (MITF, SOX10, IRF4) showed contrasting associations depending on the PD-L1 expression mode and study. In total, 120 human and 10 mouse melanoma cell lines were used. The A375, SK-MEL-28, and B16 cell lines were used in 20, 18, and 28 studies, respectively, suggesting lineage bias. Most studies had unclear risk of bias regarding imprecision (82%) and model validity (70%).

conclusionsPD-L1 expression is commonly affected by differentiation regulators in melanoma cells, linking high PD-L1 expression to dedifferentiated cell states. The various regulators and inducible pathways that affect PD-L1 may in turn explain the heterogeneity observed in PD-L1 expression between and within patients with melanoma. Owing to the clinical significance of PD-L1 expression as a predictive biomarker for immunotherapy response, it is crucial to better understand the impact of various regulators on its expression.

Indexed as

B7-H1 AntigenCell DifferentiationMelanomaSkin NeoplasmsAnimalsCutaneous Malignant MelanomaGene Expression Regulation, NeoplasticHumansB7-H1 AntigenCD274 protein, humanDifferentiationMelanomaMITFPD-L1

Identifiers

PMID42056900
PMCPMC13281310

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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.