Evidence map›Paper›PMID 29368212›Full record

Trial reportActa neuropathologica2018

The DNA methylome of DDR genes and benefit from RT or TMZ in IDH mutant low-grade glioma treated in EORTC 22033.

Pierre Bady, Sebastian Kurscheid, Mauro Delorenzi, Thierry Gorlia, Martin J van den Bent, Khê Hoang-Xuan, Élodie Vauléon, Anja Gijtenbeek, Roelien Enting, Brian Thiessen and 12 more

Open access · hybridAbstract readClinical Trial, Phase IIIComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in Acta neuropathologica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
7.0field-weighted citation impact, top 2% 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

56 citing papers in PubMed, 1 synthesis or guideline pooled it, 87 citations in OpenAlex.

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  18. Signaling pathways in brain tumors and therapeutic interventions.Signal transduction and targeted therapy · 2023
    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

22 authors at 19 institutions in 10 countries.

Pierre BadyLaboratory of Brain Tumor Biology and Genetics, Neuroscience Research Center, Lausanne University Hospital, Chemin des Boveresses 155, CLE-C306, 1066 Epalinges, Lausanne, Switzerland.
Sebastian KurscheidLaboratory of Brain Tumor Biology and Genetics, Neuroscience Research Center, Lausanne University Hospital, Chemin des Boveresses 155, CLE-C306, 1066 Epalinges, Lausanne, Switzerland.
Mauro DelorenziBioinformatics Core Facility, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Thierry GorliaEORTC Headquarter, Brussels, Belgium.
Martin J van den BentThe Brain Tumor Center at Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Khê Hoang-XuanAPHP Pitié-Salpétrière, Sorbonne Universités, UPMC, UMR S 1127, Paris, France.
Élodie VauléonRegional Cancer Institute Eugène Marquis, Rennes, France.
Anja GijtenbeekRadboud University Medical Center, Nijmegen, The Netherlands.
Roelien EntingUMCG, University of Groningen, Groningen, The Netherlands.
Brian ThiessenBC Cancer Agency, Vancouver, BC, Canada.
Olivier ChinotAix-Marseille Université, AP-HM, Hôpital de la Timone, Marseille, France.
Frédéric DhermainInstitut Gustave Roussy, Villejuif, France.
Alba A BrandesOspedale Bellaria, Bologna, Italy.
Jaap C ReijneveldBrain Tumor Center and Department of Neurology, VU University Medical Center, Amsterdam, The Netherlands.
Christine MarosiClinical Division of Medical Oncology, Department of Internal Medicine I, Medical University of Vienna, Vienna, Austria.
Martin J B TaphoornHaaglanden Medical Center, The Hague, The Netherlands.
Wolfgang WickClinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.
Andreas von DeimlingGerman Cancer Consortium (DKTK) and CCU Neuropathology German Cancer Research Center (DKFZ), Heidelberg, Germany.
Pim FrenchThe Brain Tumor Center at Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Roger StuppDivision of Neurosurgery, Lausanne University Hospital, Lausanne, Switzerland.
Brigitta G BaumertDepartment of Radiation-Oncology (MAASTRO Clinic) & GROW (School for Oncology), Maastricht University Medical Centre, Maastricht, The Netherlands.
Monika E HegiLaboratory of Brain Tumor Biology and Genetics, Neuroscience Research Center, Lausanne University Hospital, Chemin des Boveresses 155, CLE-C306, 1066 Epalinges, Lausanne, Switzerland. Monika.Hegi@chuv.ch.ORCID 0000-0003-0855-6495
Erasmus MC Cancer Institute · NLGerman Cancer Research Center · DESIB Swiss Institute of Bioinformatics · CHAix-Marseille Université · FRAmsterdam UMC Location Vrije Universiteit Amsterdam · NLAustralian National University · AUBC Cancer Agency · CACentre Eugène Marquis · FREuropean Organisation for Research and Treatment of Cancer · BEInstitut Gustave Roussy · FRMaastricht University Medical Centre · NLMedical University of Vienna · ATMedisch Centrum Haaglanden · NLNorthwestern University · USOspedale Bellaria · ITRadboud University Nijmegen · NLSorbonne Université · FRUniversity Hospital of Lausanne · CHUniversity of Groningen · NL

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 3100A-163297Swiss Bridge Award 2011Swiss Cancer League KFS-29-02-2012
6 · The paper itself

Abstract

The optimal treatment for patients with low-grade glioma (LGG) WHO grade II remains controversial. Overall survival ranges from 2 to over 15 years depending on molecular and clinical factors. Hence, risk-adjusted treatments are required for optimizing outcome and quality of life. We aim at identifying mechanisms and associated molecular markers predictive for benefit from radiotherapy (RT) or temozolomide (TMZ) in LGG patients treated in the randomized phase III trial EORTC 22033. As candidate biomarkers for these genotoxic treatments, we considered the DNA methylome of 410 DNA damage response (DDR) genes. We first identified 62 functionally relevant CpG sites located in the promoters of 24 DDR genes, using the LGG data from The Cancer Genome Atlas. Then we tested their association with outcome [progression-free survival (PFS)] depending on treatment in 120 LGG patients of EORTC 22033, whose tumors were mutant for isocitrate dehydrogenase 1 or 2 (IDHmt), the molecular hallmark of LGG. The results suggested that seven CpGs of four DDR genes may be predictive for longer PFS in one of the treatment arms that comprised MGMT, MLH3, RAD21, and SMC4. Most interestingly, the two CpGs identified for MGMT are the same, previously selected for the MGMT-STP27 score that is used to determine the methylation status of the MGMT gene. This score was higher in the LGG with 1p/19q codeletion, in this and other independent LGG datasets. It was predictive for PFS in the TMZ, but not in the RT arm of EORTC 22033. The results support the hypothesis that a high score predicts benefit from TMZ treatment for patients with IDHmt LGG, regardless of the 1p/19q status. This MGMT methylation score may identify patients who benefit from first-line treatment with TMZ, to defer RT for long-term preservation of cognitive function and quality of life.

Indexed as

DNA MethylationAdultAntineoplastic Agents, AlkylatingBrain NeoplasmsCpG IslandsDiscoidin Domain ReceptorsDNADNA Modification MethylasesDNA Repair EnzymesEpigenesis, GeneticFemaleGliomaHumansIsocitrate DehydrogenaseMaleNeoplasm GradingAntineoplastic Agents, AlkylatingDiscoidin Domain ReceptorsDNADNA Modification MethylasesDNA Repair EnzymesIDH1 protein, humanIDH2 protein, humanIsocitrate DehydrogenaseMGMT protein, humanTemozolomideTumor Suppressor ProteinsDDR genesDNA methylationLow-grade gliomaMGMT-STP27Randomized trialTMZ

Identifiers

PMID29368212
PMCPMC5978935
OpenAlexW2787702713

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.