Evidence map›Paper›PMID 38401029›Full record

ArticleTargeted oncology2024

DNA Methylation Signatures Correlate with Response to Immune Checkpoint Inhibitors in Metastatic Melanoma.

Julia Maria Ressler, Erwin Tomasich, Teresa Hatziioannou, Helmut Ringl, Gerwin Heller, Rita Silmbrod, Lynn Gottmann, Angelika Martina Starzer, Nina Zila, Philipp Tschandl and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Targeted oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
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  3. Epigenetic regulation in gynecological cancers: a paradigm shift in immunotherapy strategies.Journal of experimental & clinical cancer research : CR · 2025
    Review
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  6. Review
  7. A review on trends in development and translation of omics signatures in cancer.Computational and structural biotechnology journal · 2024
    Review
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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

13 authors at 2 institutions in 1 country.

Julia Maria ResslerDepartment of Dermatology, Medical University of Vienna, Vienna, Austria.
Erwin TomasichDepartment of Medicine I, Division of Oncology, Christian Doppler Laboratory for Personalized Immunotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Teresa HatziioannouDepartment of Medicine I, Division of Oncology, Christian Doppler Laboratory for Personalized Immunotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Helmut RinglWiener Gesundheitsverbund, Klinik Donaustadt, Vienna, Austria.
Gerwin HellerDepartment of Medicine I, Division of Oncology, Medical University of Vienna, Vienna, Austria.
Rita SilmbrodDepartment of Dermatology, Medical University of Vienna, Vienna, Austria.
Lynn GottmannDepartment of Medicine I, Division of Oncology, Christian Doppler Laboratory for Personalized Immunotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Angelika Martina StarzerDepartment of Medicine I, Division of Oncology, Medical University of Vienna, Vienna, Austria.
Nina ZilaDepartment of Dermatology, Medical University of Vienna, Vienna, Austria.
Philipp TschandlDepartment of Dermatology, Medical University of Vienna, Vienna, Austria.
Christoph HoellerDepartment of Dermatology, Medical University of Vienna, Vienna, Austria.
Matthias PreusserDepartment of Medicine I, Division of Oncology, Christian Doppler Laboratory for Personalized Immunotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Anna Sophie BerghoffDepartment of Medicine I, Division of Oncology, Christian Doppler Laboratory for Personalized Immunotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria. anna.berghoff@meduniwien.ac.at.
Medical University of Vienna · ATWiener Krankenanstaltenverbund · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDNA methylation profiles have emerged as potential predictors of therapeutic response in various solid tumors.

objectiveThis study aimed to analyze the DNA methylation profiles of patients with stage IV metastatic melanoma undergoing first-line immune checkpoint inhibitor treatment and evaluate their correlation with a radiological response according to immune-related Response Evaluation Criteria in Solid Tumors (iRECIST).

methodsA total of 81 tissue samples from 71 patients with metastatic melanoma (27 female, 44 male) were included in this study. We utilized Illumina Methylation EPIC Beadchips to retrieve their genome-wide methylation profile by interrogating >850,000 CpG sites. Clustering based on the 500 most differentially methylated genes was conducted to identify distinct methylation patterns associated with immune checkpoint inhibitor response. Results were further aligned with an independent, previously published data set.

resultsThe median progression-free survival was 8.5 months (range: 0-104.1 months), and the median overall survival was 30.6 months (range: 0-104.1 months). Objective responses were observed in 29 patients (40.8%). DNA methylation profiling revealed specific signatures that correlated with radiological response to immune checkpoint inhibitors. Three distinct clusters were identified based on the methylation patterns of the 500 most differentially methylated genes. Cluster 1 (12/12) and cluster 2 (12/24) exhibited a higher proportion of responders, while cluster 3 (39/45) predominantly consisted of non-responders. In the validation data set, responders also showed more frequent hypomethylation although differences in the data sets limit the interpretation.

conclusionsThese findings suggest that DNA methylation profiling of tumor tissues might serve as a predictive biomarker for immune checkpoint inhibitor response in patients with metastatic melanoma. Further validation studies are warranted to confirm the efficiency of DNA methylation profiling as a predictive tool in the context of immunotherapy for metastatic melanoma.

Indexed as

MelanomaDNA MethylationFemaleHumansImmune Checkpoint InhibitorsMaleImmune Checkpoint Inhibitors

Identifiers

PMID38401029
PMCPMC10963567
OpenAlexW4392131034

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.