Evidence map›Paper›PMID 40887772›Full record

ArticleNeuro-oncology2026

DNA damage response profile distinguishes poor-acting gliomas with shared methylome signatures.

Nalin Leelatian, Charu Singh, Richard Bouffard, Ranjini K Sundaram, Kirsten E Diggins, William Sullivan, Sateja Paradkar, Zeynep Erson Omay, Bret C Mobley, Susan E Gueble and 2 more

Abstract read
In one paragraph

Article in Neuro-oncology, 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

12 authors.

Nalin LeelatianDepartment of Pathology, Microbiology, and Immunology, Vanderbilt University School of Medicine, Nashville, TN, USA.ORCID 0000-0003-4284-8272
Charu SinghDepartment of Therapeutic Radiology, Yale School of Medicine, New Haven, CT, USA.
Richard BouffardDepartment of Pathology, Yale School of Medicine, New Haven, CT, USA.
Ranjini K SundaramDepartment of Therapeutic Radiology, Yale School of Medicine, New Haven, CT, USA.
Kirsten E DigginsCyclo Technologies, Roswell, GA, USA.
William SullivanDepartment of Therapeutic Radiology, Yale School of Medicine, New Haven, CT, USA.
Sateja ParadkarDepartment of Therapeutic Radiology, Yale School of Medicine, New Haven, CT, USA.
Zeynep Erson OmayDepartment of Neurosurgery, Yale School of Medicine, New Haven, CT, USA.
Bret C MobleyDepartment of Pathology, Microbiology, and Immunology, Vanderbilt University School of Medicine, Nashville, TN, USA.
Susan E GuebleDepartment of Therapeutic Radiology, Yale School of Medicine, New Haven, CT, USA.
Juan C VasquezDepartment of Pediatric Hematology and Oncology, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0002-9031-7639
Ranjit S BindraDepartment of Therapeutic Radiology, Yale School of Medicine, New Haven, CT, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
American Cancer Society Institutional Research IRG-21-132-60-IRGCuresearch Catapult AwardDoris Duke Charitable Foundation 2015216Fund to Retain Clinical Scientists at YaleGateway for Cancer ResearchHyundai Hope on Wheels Scholar HopeNational Cancer Society 1DP5OD036128National Cancer Society 1K08CA258796National Cancer Society 5R01CA215453National Cancer Society 5R01CA276186-02National Center for Advancing Translational ScienceNCATS NIH HHS UL1 TR001863NIH HHSRobert Wood Johnson Harold Amos Medical Faculty Development ProgramSpector Family Fund for Clinical Research and Investigation
6 · The paper itself

Abstract

backgroundTherapies for diffuse glioma induce DNA damage response (DDR), and strategies to exploit DDR defects are active areas of investigation. While global DNA methylation profiling effectively classifies gliomas into subtypes, the epigenetic and gene expression patterns of DDR genes, and their contribution to tumor classification and outcomes, have yet to be fully elucidated. Thus, dissecting the DDR epigenetics, gene expression, and single-cell heterogeneity may reveal key molecular characteristics, refine prognosis, and identify novel treatment strategies and resistance mechanisms.

methodsWe characterized DDR epigenetics and gene expression of TCGA glioblastomas (GBM) and low-grade gliomas (LGG). Single-cell protein analysis by imaging mass cytometry (IMC) was performed on a separate cohort of 118 diffuse gliomas.

resultsAnalysis of TCGA cohorts revealed two DDR methylation groups that correlated with IDH mutation status and previously reported molecular groups. DDR transcription profiling further classified tumors into four groups. Those with high DDR transcription across pathways were linked to poor survival independent of IDH or MGMT status, and potentially improved prognostication beyond established biomarkers. Single-cell characterization of a separate cohort revealed intratumoral DDR diversity and identified proliferative tumor cells with high DDR protein expression across pathways that are associated with unfavorable grade and survival.

conclusionsTumor-level epigenetic and transcriptional DDR signatures alone can distinguish molecular-defined diagnosis and outcomes of gliomas beyond established biomarkers. A higher abundance of glioma cells with high DDR effector expression across pathways is associated with poor survival. Thus, clinical assessment of pan-DDR expression may inform prognosis and identify potential therapeutic targets.

Indexed as

Biomarkers, TumorBrain NeoplasmsDNA DamageDNA MethylationGliomaEpigenesis, GeneticFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedMutationPrognosisBiomarkers, TumorDNA damage responsegliomamethylationsingle celltranscriptomics

Identifiers

PMID40887772
PMCPMC12962623

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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.