Evidence map›Paper›PMID 39812592›Full record

ArticleClinical and translational medicine2025

RECQL4 affects MHC class II-mediated signalling and favours an immune-evasive signature that limits response to immune checkpoint inhibitor therapy in patients with malignant melanoma.

Sara Egea-Rodriguez, Renáta Váraljai, Thierry M Nordmann, Restuan Lubis, Manuel Philip, Florian Rambow, Alexander Roesch, Michael Flaig, Susanne Horn, Raphael Stoll and 7 more

Abstract read
In one paragraph

Article in Clinical and translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

17 authors.

Sara Egea-RodriguezDepartment of Dermatology and Allergy, University Hospital of Munich, Ludwig-Maximilian-University, Munich, Germany.
Renáta VáraljaiSkin Cancer Unit of the Dermatology Department, Medical Faculty, West German Cancer Center, University Duisburg-Essen, Essen, Germany.ORCID 0000-0001-6852-6859
Thierry M NordmannProteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
Restuan LubisLead Discovery Center GmbH, Dortmund, Germany.
Manuel PhilipSkin Cancer Unit of the Dermatology Department, Medical Faculty, West German Cancer Center, University Duisburg-Essen, Essen, Germany.
Florian RambowDepartment of Applied Computational Cancer Research, Institute for AI in Medicine (IKIM), University Hospital Essen, University Duisburg-Essen, Essen, Germany.
Alexander RoeschSkin Cancer Unit of the Dermatology Department, Medical Faculty, West German Cancer Center, University Duisburg-Essen, Essen, Germany.
Michael FlaigDepartment of Dermatology and Allergy, University Hospital of Munich, Ludwig-Maximilian-University, Munich, Germany.
Susanne HornRudolf Schönheimer Institute of Biochemistry, Medical Faculty of the University of Leipzig, Leipzig, Germany.
Raphael StollBiomolecular Spectroscopy and RUBiospec, NMR, Faculty of Chemistry and Biochemistry, Ruhr University of Bochum, Bochum, Germany.
Fang ZhaoSkin Cancer Unit of the Dermatology Department, Medical Faculty, West German Cancer Center, University Duisburg-Essen, Essen, Germany.
Annette PaschenSkin Cancer Unit of the Dermatology Department, Medical Faculty, West German Cancer Center, University Duisburg-Essen, Essen, Germany.
Bert KleblLead Discovery Center GmbH, Dortmund, Germany.
Ian D HicksonCenter for Chromosome Stability, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen N, Denmark.
Dirk SchadendorfSkin Cancer Unit of the Dermatology Department, Medical Faculty, West German Cancer Center, University Duisburg-Essen, Essen, Germany.
Matthias MannProteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
Iris HelfrichDepartment of Dermatology and Allergy, University Hospital of Munich, Ludwig-Maximilian-University, Munich, Germany.ORCID 0000-0001-6150-9570

Funding

Deutsche Forschungsgemeinschaft PA 2376/1-Deutsche Forschungsgemeinschaft Project-ID 418179183: HE 5294/2-1 (IH)Deutsche Forschungsgemeinschaft (German Research Foundation) 418179183Deutsche Krebshilfe 70113192Else Kröner-Fresenius-Stiftung/UMESciAEuropean Commission Horizon 2020-Research and Innovation Framework ProgrammeHiege Stiftung-Die Deutsche HautkrebsstiftungMarie Skłodowska-Curie Innovative Training Networks-AntiHelix 859853
6 · The paper itself

Abstract

backgroundCancer immunotherapy has transformed metastatic cancer treatment, yet challenges persist regarding therapeutic efficacy. RECQL4, a RecQ-like helicase, plays a central role in DNA replication and repair as part of the DNA damage response, a pathway implicated in enhancing efficacy of immune checkpoint inhibitor (ICI) therapies. However, its role in patient response to ICI remains unclear.

methodsWe analysed whole exome and bulk RNA sequencing data from a pan-cancer cohort of 25 775 patients and cutaneous melanoma cohorts (untreated: n = 471, anti-progressive disease [PD]-1 treated: n = 212). RECQL4 copy number variations and expression levels were assessed for patient outcomes. We performed gene set enrichment analysis to identify RECQL4-dependent signalling pathways and explored the association between RECQL4 levels and immunoscores. We evaluated the interplay of ICI response and RECQL4 expression in melanoma cohorts of 95 responders and 85 non-responders prior to and after ICI-targeted therapy and tested the prognostic power of RECQL4. Finally, we generated genetically engineered RECQL4 variants and conducted comprehensive multi-omic profiling, employing techniques such as liquid chromatography with tandem mass spectrometry, to elucidate mechanistic insights.

resultsWe identified RECQL4 as a critical negative regulator of poor prognosis and response to ICI therapy, but also demonstrated its suitability as an independent biomarker in melanoma. High tumour purity and limited signatures of tumour immunogenicity associated with response to anti-PD-1 correlated with high RECQL4 activity. We found alterations in the secretion profile of immune regulatory factors and immune-related pathways robustly suppressed in tumours with high RECQL4 levels, underscoring its crucial role in fostering immune evasion. Mechanistically, we identified RECQL4-mediated regulation of major histocompatibility complex class II molecule expression and uncovered class II major histocompatibility complex transactivator as a mediator bridging this regulation.

conclusionsOur findings unraveled the pivotal role of RECQL4 in immune modulation and its potential as both a predictive biomarker and therapeutic target for optimising immunotherapeutic strategies across various cancer types. HIGHLIGHTS: High RECQL4 expression limits survival and can act as an independent prognostic factor in melanoma patients. RECQL4 has the potential to act as a negative feedback mediator of immune checkpoint-targeted therapy by limiting signatures associated with therapeutic efficacy. RECQL4 favours an immune-evasive phenotype by downregulating major histocompatibility complex class II molecules.

Indexed as

Histocompatibility Antigens Class IIImmune Checkpoint InhibitorsMelanomaRecQ HelicasesFemaleHumansMaleMiddle AgedPrognosisSignal TransductionHistocompatibility Antigens Class IIImmune Checkpoint InhibitorsRecQ HelicasesRECQL4 protein, humanimmune evasionimmunotherapymelanomaMHC class IIRECQL4

Identifiers

PMID39812592
PMCPMC11734436

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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.