Evidence map›Paper›PMID 42114486›Full record

ArticleESMO open2026

Peripheral blood DNA methylation profile and immune checkpoint inhibitor response in cancer patients.

M Kleinberger, V Sunder-Plassmann, A M Starzer, E Tomasich, C Zierfuss, B Niederdorfer, J M Berger, L Gottmann, I Solano Henao, M Korpan and 9 more

Abstract read
In one paragraph

Article in ESMO open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

M KleinbergerDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Personalized Immunotherapy, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
V Sunder-PlassmannDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Personalized Immunotherapy, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
A M StarzerDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Personalized Immunotherapy, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
E TomasichDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Personalized Immunotherapy, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
C ZierfussDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Personalized Immunotherapy, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
B NiederdorferDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Personalized Immunotherapy, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
J M BergerDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Personalized Immunotherapy, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
L GottmannDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Personalized Immunotherapy, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
I Solano HenaoDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
M KorpanDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
J FuerstDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
K FeldmannDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
C EnglischDivision of Hematology and Hemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
C AyDivision of Hematology and Hemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
H HaslacherDepartment of Laboratory Medicine, Medical University of Vienna, Vienna, Austria.
J FurtnerChristian Doppler Laboratory for Personalized Immunotherapy, Department of Medicine I, Medical University of Vienna, Vienna, Austria; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria; Research Center for Medical Image Analysis and Artificial Intelligence, Faculty of Medicine and Dentistry, Danube Private University, Krems, Austria.
M PreusserDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Personalized Immunotherapy, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
G HellerDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
A S BerghoffDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Personalized Immunotherapy, Department of Medicine I, Medical University of Vienna, Vienna, Austria. Electronic address: anna.berghoff@meduniwien.ac.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpigenome-wide association studies of blood DNA methylation have linked epigenetic changes to immune-related mechanisms. In oncology, DNA methylation profiling holds promise as a predictive biomarker. We aimed to evaluate peripheral blood DNA methylation profiles as a potential biomarker for predicting immune checkpoint inhibitor (ICI) response. PATIENTS AND

methodsPatients with advanced solid tumors who received palliative ICI treatment were prospectively enrolled. DNA methylation profiling was performed on peripheral blood specimens using Infinium MethylationEPIC BeadChip (Illumina Inc., San Diego, CA). Baseline and longitudinal samples were collected. Treatment response was evaluated using the iRECIST guidelines by a board-certified radiologist.

resultsA total of 274 peripheral blood samples from 233 patients (median age, 64 years; female, 35.6%; male, 64.4%) were analyzed (214 baseline, 41 matched baseline and follow-up samples; overlapping cohorts). Blood methylation profiles at baseline were used to distinguish responders from nonresponders, with differentially methylated CpG sites enriched in immune-related and tumor-associated pathways. Blood methylation profile differences were independent of immune cell composition and count as well as sex and entity, suggesting cell-intrinsic epigenetic features. In longitudinal samples from 41 patients with metastatic lung cancer, responders exhibited significant therapy-associated methylation changes, whereas no changes in the blood methylation profile were observed in the nonresponders.

conclusionsOur findings demonstrate that the blood-based DNA methylation profile correlates with the response to ICI therapy across solid cancer entities. Changes during treatment reflect the dynamic immune remodeling induced by the ICI response. Overall, blood-based DNA methylation profiles might serve as tumor-agnostic patient-specific biomarkers.

Indexed as

Biomarkers, TumorDNA MethylationImmune Checkpoint InhibitorsNeoplasmsAgedEpigenesis, GeneticFemaleHumansMaleMiddle AgedProspective StudiesBiomarkers, TumorImmune Checkpoint Inhibitorsbiomarkerepigeneticsimmunotherapymethylationprecision medicine

Identifiers

PMID42114486
PMCPMC13194638

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