Evidence map›Paper›PMID 30029672›Full record

ArticleGenome medicine2018

Epigenomic profiling of non-small cell lung cancer xenografts uncover LRP12 DNA methylation as predictive biomarker for carboplatin resistance.

Sabrina Grasse, Matthias Lienhard, Steffen Frese, Martin Kerick, Anne Steinbach, Christina Grimm, Michelle Hussong, Jana Rolff, Michael Becker, Felix Dreher and 16 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

30 citing papers in PubMed, 50 citations in OpenAlex.

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  11. Recent Multiomics Approaches in Endometrial Cancer.International journal of molecular sciences · 2022
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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

26 authors at 5 institutions in 2 countries.

Sabrina GrasseTranslational Epigenetics and Tumor Genetics, University Hospital Cologne, Cologne, Germany.
Matthias LienhardDepartment of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany.
Steffen FreseELK Berlin Chest Hospital, Berlin, Germany.
Martin KerickDepartment of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Berlin, Germany.
Anne SteinbachTranslational Epigenetics and Tumor Genetics, University Hospital Cologne, Cologne, Germany.
Christina GrimmTranslational Epigenetics and Tumor Genetics, University Hospital Cologne, Cologne, Germany.
Michelle HussongTranslational Epigenetics and Tumor Genetics, University Hospital Cologne, Cologne, Germany.
Jana RolffExperimental Pharmacology and Oncology Berlin-Buch GmbH, Berlin, Germany.
Michael BeckerExperimental Pharmacology and Oncology Berlin-Buch GmbH, Berlin, Germany.
Felix DreherAlacris Theranostics GmbH Berlin, Berlin, Germany.
Uwe SchirmerCancer Genome Research Group, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), and National Center for Tumor Diseases (NCT), Heidelberg, Germany.
Stefan BoernoSequencing Core Facility, Max Planck Institute for Molecular Genetics, Berlin, Germany.
Anna RamischDepartment of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany.
Gunda LeschberELK Berlin Chest Hospital, Berlin, Germany.
Bernd TimmermannSequencing Core Facility, Max Planck Institute for Molecular Genetics, Berlin, Germany.
Christian GrohéELK Berlin Chest Hospital, Berlin, Germany.
Heike LüdersELK Berlin Chest Hospital, Berlin, Germany.
Martin VingronDepartment of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany.
Iduna FichtnerExperimental Pharmacology and Oncology Berlin-Buch GmbH, Berlin, Germany.
Sebastian KleinInstitute of Pathology, University of Cologne, Cologne, Germany.
Margarete OdenthalInstitute of Pathology, University of Cologne, Cologne, Germany.
Reinhard BüttnerInstitute of Pathology, University of Cologne, Cologne, Germany.
Hans LehrachDepartment of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Berlin, Germany.
Holger SültmannCancer Genome Research Group, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), and National Center for Tumor Diseases (NCT), Heidelberg, Germany.
Ralf HerwigDepartment of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany.
Michal R SchweigerTranslational Epigenetics and Tumor Genetics, University Hospital Cologne, Cologne, Germany. mschweig@uni-koeln.de.ORCID 0000-0002-4672-0623
Max Planck Institute for Molecular Genetics · DEUniversity of Cologne · DEUniversity Hospital Cologne · DEGerman Cancer Research Center · DEAlacris (Germany) · DE

Funding

Deutsche Forschungsgemeinschaft DFG KFO286German Federal Ministry of Education and Research 0316190ANorth Rhine-Westphalia EFRE-0800397
6 · The paper itself

Abstract

backgroundNon-small cell lung cancer (NSCLC) is the most common cause of cancer-related deaths worldwide and is primarily treated with radiation, surgery, and platinum-based drugs like cisplatin and carboplatin. The major challenge in the treatment of NSCLC patients is intrinsic or acquired resistance to chemotherapy. Molecular markers predicting the outcome of the patients are urgently needed.

methodsHere, we employed patient-derived xenografts (PDXs) to detect predictive methylation biomarkers for platin-based therapies. We used MeDIP-Seq to generate genome-wide DNA methylation profiles of 22 PDXs, their parental primary NSCLC, and their corresponding normal tissues and complemented the data with gene expression analyses of the same tissues. Candidate biomarkers were validated with quantitative methylation-specific PCRs (qMSP) in an independent cohort.

resultsComprehensive analyses revealed that differential methylation patterns are highly similar, enriched in PDXs and lung tumor-specific when comparing differences in methylation between PDXs versus primary NSCLC. We identified a set of 40 candidate regions with methylation correlated to carboplatin response and corresponding inverse gene expression pattern even before therapy. This analysis led to the identification of a promoter CpG island methylation of LDL receptor-related protein 12 (LRP12) associated with increased resistance to carboplatin. Validation in an independent patient cohort (n = 35) confirmed that LRP12 methylation status is predictive for therapeutic response of NSCLC patients to platin therapy with a sensitivity of 80% and a specificity of 84% (p < 0.01). Similarly, we find a shorter survival time for patients with LRP12 hypermethylation in the TCGA data set for NSCLC (lung adenocarcinoma).

conclusionsUsing an epigenome-wide sequencing approach, we find differential methylation patterns from primary lung cancer and PDX-derived cancers to be very similar, albeit with a lower degree of differential methylation in primary tumors. We identify LRP12 DNA methylation as a powerful predictive marker for carboplatin resistance. These findings outline a platform for the identification of epigenetic therapy resistance biomarkers based on PDX NSCLC models.

Indexed as

EpigenomicsXenograft Model Antitumor AssaysAnimalsBiomarkers, TumorCarboplatinCarcinoma, Non-Small-Cell LungDisease-Free SurvivalDNA MethylationDrug Resistance, NeoplasmGenes, Tumor SuppressorGenome, HumanHumansLow Density Lipoprotein Receptor-Related Protein-1Lung NeoplasmsMice, NudePromoter Regions, GeneticBiomarkers, TumorCarboplatinLow Density Lipoprotein Receptor-Related Protein-1LRP12 protein, humanCarboplatin resistanceDNA methylationEpigenomicsNon-small cell lung cancerNSCLCPatient-derived xenograftsPredictive biomarkerTherapy response

Identifiers

PMID30029672
PMCPMC6054719
OpenAlexW2884260991

What OpenQuestion holds

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LicenceCC BY
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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.