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

Overview of attention for article published in Genome Medicine, July 2018
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Title
Epigenomic profiling of non-small cell lung cancer xenografts uncover LRP12 DNA methylation as predictive biomarker for carboplatin resistance
Published in
Genome Medicine, July 2018
DOI 10.1186/s13073-018-0562-1
Pubmed ID
Authors

Sabrina Grasse, Matthias Lienhard, Steffen Frese, Martin Kerick, Anne Steinbach, Christina Grimm, Michelle Hussong, Jana Rolff, Michael Becker, Felix Dreher, Uwe Schirmer, Stefan Boerno, Anna Ramisch, Gunda Leschber, Bernd Timmermann, Christian Grohé, Heike Lüders, Martin Vingron, Iduna Fichtner, Sebastian Klein, Margarete Odenthal, Reinhard Büttner, Hans Lehrach, Holger Sültmann, Ralf Herwig, Michal R. Schweiger

Abstract

Non-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. Here, 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. Comprehensive 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). Using 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 17%
Student > Master 7 12%
Student > Bachelor 6 10%
Researcher 4 7%
Student > Doctoral Student 2 3%
Other 6 10%
Unknown 24 41%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 27%
Agricultural and Biological Sciences 5 8%
Medicine and Dentistry 4 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Nursing and Health Professions 2 3%
Other 4 7%
Unknown 26 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 September 2018.
All research outputs
#15,154,259
of 25,743,152 outputs
Outputs from Genome Medicine
#1,355
of 1,611 outputs
Outputs of similar age
#176,383
of 341,123 outputs
Outputs of similar age from Genome Medicine
#24
of 25 outputs
Altmetric has tracked 25,743,152 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,611 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.5. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 341,123 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.