Evidence map›Paper›PMID 35331339›Full record

ArticleActa neuropathologica communications2022

DNA methylation-based age acceleration observed in IDH wild-type glioblastoma is associated with better outcome-including in elderly patients.

Pierre Bady, Christine Marosi, Michael Weller, Bjørn H Grønberg, Henrik Schultz, Martin J B Taphoorn, Johanna M M Gijtenbeek, Martin J van den Bent, Andreas von Deimling, Roger Stupp and 2 more

Open access · goldAbstract read
In one paragraph

Article in Acta neuropathologica communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Optimal managements of elderly patients with glioblastoma.Japanese journal of clinical oncology · 2022
    Review
  9. Article
  10. Article
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

12 authors at 12 institutions in 8 countries.

Pierre BadySwiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.
Christine MarosiMedical Oncology, University of Vienna, Vienna, Austria.
Michael WellerDepartment of Neurology, University Hospital and University of Zurich, Zurich, Switzerland.
Bjørn H GrønbergDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology and Department of Oncology, St. Olavs Hospital, Trondheim, Norway.
Henrik SchultzAarhus University Hospital, Aarhus, Denmark.
Martin J B TaphoornDepartments of Neurology, Leiden University Medical Center and Haaglanden Medical Center, Leiden and The Hague, Netherlands.
Johanna M M GijtenbeekDepartment of Neurology, Radboud University Medical Centre, Nijmegen, Netherlands.
Martin J van den BentBrain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands.
Andreas von DeimlingDepartment of Neuropathology, Institute of Pathology, University of Heidelberg, and CCU Neuropathology, German Cancer Center (DKFZ), Heidelberg, Germany.
Roger StuppMalnati Brain Tumor Institute of the Lurie Comprehensive Cancer Center, Department of Neurological Surgery and Department of Neurology, Northwestern Medicine and Northwestern University, Chicago, IL, USA.
Annika MalmströmDepartment of Biomedical and Clinical Sciences and Department of Advanced Home Care, Linköping University, Linköping, Sweden.
Monika E HegiLausanne University Hopital and University of Lausanne, Chemin des Boveresses 155, CLE-C306, 1066, Epalinges, Switzerland. monika.hegi@chuv.ch.
Aarhus University Hospital · DKErasmus MC Cancer Institute · NLHeidelberg University · DELeiden University Medical Center · NLLinköping University · SEMedical University of Vienna · ATNeurological Surgery · USNorwegian University of Science and Technology · NORadboud University Nijmegen · NLSIB Swiss Institute of Bioinformatics · CHUniversity of Lausanne · CHUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elderly patients represent a growing proportion of individuals with glioblastoma, who however, are often excluded from clinical trials owing to poor expected prognosis. We aimed at identifying age-related molecular differences that would justify and guide distinct treatment decisions in elderly glioblastoma patients. The combined DNA methylome (450 k) of four IDH wild-type glioblastoma datasets, comprising two clinical trial cohorts, was interrogated for differences based on the patients' age, DNA methylation (DNAm) age acceleration (DNAm age "Horvath-clock" minus patient age), DNA methylation-based tumor classification (Heidelberg), entropy, and functional methylation of DNA damage response (DDR) genes. Age dependent methylation included 19 CpGs (p-value ≤ 0.1, Bonferroni corrected), comprising a CpG located in the ELOVL2 gene that is part of a 13-gene forensic age predictor. Most of the age related CpGs (n = 16) were also associated with age acceleration that itself was associated with a large number of CpGs (n = 50,551). Over 70% age acceleration-associated CpGs (n = 36,348) overlapped with those associated with the DNA methylation based tumor classification (n = 170,759). Gene set enrichment analysis identified associated pathways, providing insights into the biology of DNAm age acceleration and respective commonalities with glioblastoma classification. Functional methylation of several DDR genes, defined as correlation of methylation with gene expression (r ≤ -0.3), was associated with age acceleration (n = 8), tumor classification (n = 12), or both (n = 4), the latter including MGMT. DNAm age acceleration was significantly associated with better outcome in both clinical trial cohorts, whereof one comprised only elderly patients. Multivariate analysis included treatment (RT, RT/TMZ→TMZ; TMZ, RT), MGMT promoter methylation status, and interaction with treatment. In conclusion, DNA methylation features of age acceleration are an integrative part of the methylation-based tumor classification (RTK I, RTK II, MES), while patient age seems hardly reflected in the glioblastoma DNA methylome. We found no molecular evidence justifying other treatments in elderly patients, not owing to frailty or co-morbidities.

Indexed as

Brain NeoplasmsGlioblastomaAccelerationAgedAntineoplastic Agents, AlkylatingDNA MethylationDNA Modification MethylasesDNA Repair EnzymesHumansPrognosisTemozolomideTumor Suppressor ProteinsAntineoplastic Agents, AlkylatingDNA Modification MethylasesDNA Repair EnzymesTemozolomideTumor Suppressor ProteinsAgeDNA methylation age accelerationGlioblastoma IDHwtMethylomeSurvival

Identifiers

PMID35331339
PMCPMC8944086
OpenAlexW4225260192

What OpenQuestion holds

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LicenceCC BY
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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.