Evidence map›Paper›PMID 31088577›Full record

ArticleClinical epigenetics2019

Novel predictive epigenetic signature for temozolomide in non-G-CIMP glioblastomas.

An-An Yin, Ya-Long He, Amandine Etcheverry, Yu-He Liu, Marc Aubry, Jill Barnholtz-Sloan, Bo-Lin Liu, Jean Mosser, Zi-Fan Lu, Xiang Zhang

Abstract readComparative Study
In one paragraph

Article in Clinical epigenetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

10 authors.

An-An YinDepartment of Neurosurgery, Xijing Institute of Clinical Neuroscience, Xijing Hospital, Air Force Medical University, West Road, No. 169 Xi'an, Changle, 710032, Shaanxi Province, China.
Ya-Long HeDepartment of Neurosurgery, Xijing Institute of Clinical Neuroscience, Xijing Hospital, Air Force Medical University, West Road, No. 169 Xi'an, Changle, 710032, Shaanxi Province, China.
Amandine EtcheverryCNRS, UMR 6290, Institut de Génétique et Développement de Rennes (IGdR), 35043, Rennes, France.
Yu-He LiuDepartment of Neurosurgery, the 960th Hospital of the People's Liberation Army, Taian, Shandong Province, China.
Marc AubryCNRS, UMR 6290, Institut de Génétique et Développement de Rennes (IGdR), 35043, Rennes, France.
Jill Barnholtz-SloanCase Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, USA.
Bo-Lin LiuDepartment of Neurosurgery, Tangdu Hospital, Air Force Military Medical University, Xi'an, Shaanxi Province, China.
Jean MosserCNRS, UMR 6290, Institut de Génétique et Développement de Rennes (IGdR), 35043, Rennes, France.
Zi-Fan LuState Key Laboratory of Cancer Biology, Department of Pharmacogenomics, School of Pharmacy, Air Force Medical University, Xi'an, Shaanxi Province, China. lzffmmu@163.com.
Xiang ZhangDepartment of Neurosurgery, Xijing Institute of Clinical Neuroscience, Xijing Hospital, Air Force Medical University, West Road, No. 169 Xi'an, Changle, 710032, Shaanxi Province, China. xzhangneurosurgery@aliyun.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify novel epigenetic signatures that could provide predictive information that is complementary to promoter methylation status of the O-6-methylguanine-DNA methyltransferase (MGMT) gene for predicting temozolomide (TMZ) response, among glioblastomas (GBMs) without glioma-CpGs island methylator phenotype (G-CIMP)

methodsDifferent cohorts of primary non-G-CIMP GBMs with genome-wide DNA methylation microarray data were included for discovery and validation of a multimarker signature, combined using a RISK score model. Different statistical analyses and functional experiments were performed for clinical and biological validation.

resultsBy employing discovery cohorts with radiotherapy (RT) and TMZ versus RT alone and a strict multistep selection strategy, we identified seven CpGs, each of which was significantly correlated with overall survival (OS) of non-G-CIMP GBMs with RT/TMZ, independent of age, MGMT promoter methylation status, and other identified CpGs. A RISK score signature of the 7 CpGs was developed and validated to distinguish non-G-CIMP GBMs with differential survival outcomes to RT/TMZ, but not to RT alone. The interaction analyses also showed differential outcomes to RT/TMZ versus RT alone within the RISK score-based subgroups. The signature could also improve the risk classification by age and MGMT promoter methylation status. Functional experiments showed that HSBP2 appeared to be epigenetically regulated by one identified CpG and was associated with TMZ resistance, but it was not associated with cell proliferation or apoptosis in GBM cell lines. The predictive value of the single CpG methylation of HSBP2 by pyrosequencing was observed in a local cohort of isocitrate dehydrogenase 1 (IDH1)

conclusionsThis novel epigenetic signature might be a promising predictive (but not a general prognostic) biomarker and be helpful for refining the MGMT-based guiding approach to TMZ usage in non-G-CIMP GBMs.

Indexed as

Drug Resistance, NeoplasmAntineoplastic Agents, AlkylatingBrain NeoplasmsCell Line, TumorCell ProliferationCell SurvivalCpG IslandsDNA MethylationDNA Modification MethylasesDNA Repair EnzymesEpigenesis, GeneticFemaleGene Expression Regulation, NeoplasticGlioblastomaHSP27 Heat-Shock ProteinsHumansAntineoplastic Agents, AlkylatingDNA Modification MethylasesDNA Repair EnzymesHSP27 Heat-Shock ProteinsHSPB2 protein, humanIDH1 protein, humanIsocitrate DehydrogenaseMGMT protein, humanTemozolomideTumor Suppressor ProteinsDNA methylationGlioblastomaGlioma-CpGs island methylator phenotypeTemozolomide, Predictive biomarker

Identifiers

PMID31088577
PMCPMC6515684

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Registered trials

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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.