Markus Metzler

Dr. Markus Metzler

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Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 April 2021 in Journal of Clinical Medicine
Verified
Journal Article
Open access
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SZStefan K. Zöllner
Stefan K. Zöllner
JAJames F. Amatruda
James F. Amatruda
SBSebastian Bauer
Sebastian Bauer
SCStéphane Collaud
Stéphane Collaud
ENRIQUE DE ALAVAENRIQUE DE ALAVA
ENRIQUE DE ALAVA
Uta DirksenUta Dirksen
Uta Dirksen
Ewing sarcoma, a highly aggressive bone and soft-tissue cancer, is considered a prime example of the paradigms of a translocation-positive sarcoma: a genetically rather simple disease with a specific and neomorphic-potential therapeutic target, whose oncogenic role was irrefutably defined decades ago. This is a disease that by definition has micrometastatic disease at diagnosis and a dismal prognosis for patients with macrometastatic or recurrent disease. International collaborations have defined the current standard of care in prospective studies, delivering multiple cycles of systemic therapy combined with local treatment; both are associated with significant morbidity that may result in strong psychological and physical burden for survivors. Nevertheless, the combination of non-directed chemotherapeutics and ever-evolving local modalities nowadays achieve a realistic chance of cure for the majority of patients with Ewing sarcoma. In this review, we focus on the current standard of diagnosis and treatment while attempting to answer some of the most pressing questions in clinical practice. In addition, this review provides scientific answers to clinical phenomena and occasionally defines the resulting translational studies needed to overcome the hurdle of treatment-associated morbidities and, most importantly, non-survival.

7 February 2017 in American Journal of Medical Genetics Part A
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Journal Article
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TRTim Ripperger
Tim Ripperger
SBStefan S. Bielack
Stefan S. Bielack
ABArndt Borkhardt
Arndt Borkhardt
IBInes B. Brecht
Ines B. Brecht
BBBirgit Burkhardt
Birgit Burkhardt
CKChristian Kratz
Christian Kratz

29 February 2016 in Acta Neuropathologica Communications
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Journal Article
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AHAnnett Hölsken
Annett Hölsken
MSMartin Sill
Martin Sill
JMJessica Merkle
Jessica Merkle
LSLeonille Schweizer
Leonille Schweizer
MBMichael Buchfelder
Michael Buchfelder
RBRolf Buslei
Rolf Buslei
Craniopharyngiomas (CP) are rare epithelial tumors of the sellar region. Two subtypes, adamantinomatous (adaCP) and papillary CP (papCP), were previously identified based on histomorphological and epidemiological aspects. Recent data indicates that both variants are defined by specific genetic alterations, and influenced by distinct molecular pathways and particular origins. The fact that CP is an uncommon tumor entity renders studies on large cohorts difficult and exceptional. In order to achieve further insights distinguishing CP variants, we conducted whole genome methylation (450 k array) and microarray-based gene expression studies in addition to CTNNB1 and BRAF mutation analysis using a comprehensive cohort of 80 adaCP and 35 papCP. BRAF V600E mutations were solely found in the papCP subgroup and were not detectable in adaCP samples. In contrast, CTNNB1 mutations were exclusively detected in adaCP. The methylome fingerprints assigned DNA specimens to entity-specific groups (papCP (n = 18); adaCP (n = 25)) matching perfectly with histology-based diagnosis, suggesting that they represent truly distinct biological entities. However, we were not able to detect within the adaCP group (including 11 pediatric and 14 adult cases) a significant difference in methylation signature by age. Integrative comparison of the papCP with the adaCP group based on differential gene expression and methylation revealed a distinct upregulation of Wnt- and SHH signaling pathway genes in adaCP. AdaCP and papCP thus represent distinct tumor subtypes that harbor mutually exclusive gene mutations and methylation patterns, further reflected in differences in gene expression. This study demonstrates that DNA methylation analyses are an additional method to classify CP into subtypes, and implicates a role of epigenetic mechanisms in the genesis of the respective CP variants. Detection of tumor-specific signaling pathway activation enables the possibility of target-oriented intervention.

28 January 2016 in Blood
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Journal Article
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NHNobuko Hijiya
Nobuko Hijiya
KSKirk R. Schultz
Kirk R. Schultz
MMMarkus Metzler
Markus Metzler
FMFrederic Millot
Frederic Millot
MSMeinolf Suttorp
Meinolf Suttorp
Chronic myelogenous leukemia (CML) in children is relatively rare. Because of a lack of robust clinical study evidence, management of CML in children is not standardized and often follows guidelines developed for adults. Children and young adults tend to have a more aggressive clinical presentation than older adults, and prognostic scores for adult CML do not apply to children. CML in children has been considered to have the same biology as in adults, but recent data indicate that some genetic differences exist in pediatric and adult CML. Because children with CML may receive tyrosine kinase inhibitor (TKI) therapy for many decades, and are exposed to TKIs during a period of active growth, morbidities in children with CML may be distinct from those in adults and require careful monitoring. Aggressive strategies, such as eradication of CML stem cells with limited duration and intensive regimens of chemotherapy and TKIs, may be more advantageous in children as a way to avoid lifelong exposure to TKIs and their associated adverse effects. Blood and marrow transplantation in pediatric CML is currently indicated only for recurrent progressive disease, and the acute and long-term toxicities of this option should be carefully evaluated against the complications associated with lifelong use of TKIs.

31 August 2018 in Science
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Journal Article
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NANathaniel D. Anderson
Nathaniel D. Anderson
RBRichard de Borja
Richard de Borja
MYMatthew D. Young
Matthew D. Young
FFFabio Fuligni
Fabio Fuligni
ARAndrej Rosic
Andrej Rosic
ASAdam Shlien
Adam Shlien
Looping together genes in cancer: A subset of human cancers are characterized by aberrant fusion of two specific genes. In some cases, the activity of the resultant fusion protein drives tumor growth. Most fusion genes in cancer appear to arise from simple reciprocal chromosomal translocations. Anderson et al. found that the characteristic fusion gene in a bone and soft tissue tumor called Ewing sarcoma is produced by a far more complicated mechanism (see the Perspective by Imielinski and Ladanyi). In nearly half of the tumors examined, the fusion gene was created by the formation of dramatic genomic loops that disrupt multiple genes. These complex rearrangements occur in early replicating and transcriptionally active regions of the genome and are associated with poor prognosis. Science , this issue p. eaam8419 ; see also p. 848

1 July 2015 in Clinical Chemistry
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Journal Article
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JZJakob Zierk
Jakob Zierk
FAFarhad Arzideh
Farhad Arzideh
TRTobias Rechenauer
Tobias Rechenauer
RHRainer Haeckel
Rainer Haeckel
WRWolfgang Rascher
Wolfgang Rascher
MRManfred Rauh
Manfred Rauh
Background: Pediatric laboratory test results must be interpreted in the context of interindividual variation and age- and sex-dependent dynamics. Reference intervals as presently defined for separate age groups can only approximate the age-related dynamics encountered in pediatrics. Continuous reference intervals from birth to adulthood are not available for most laboratory analytes because of the ethical and practical constraints of defining reference intervals with a population of healthy community children. We applied an indirect method to generate continuous reference intervals for 22 hematologic and biochemical analytes by analyzing clinical laboratory data from blood samples taken during clinical care of patients. Methods: We included samples from 32000 different inpatients and outpatients (167000 samples per analyte) from a German pediatric tertiary care center. Measurements were performed on a Sysmex-XE 2100 and a Cobas Integra 800 during clinical care over a 6-year period. We estimated the distribution of samples considered healthy by use of an established indirect statistical approach with which reference intervals were calculated. Results: We provide continuous reference intervals from birth to adulthood for 9 hematology analytes (hemoglobin, hematocrit, red cell indices, red cell count, red cell distribution width, white cell count, and platelet count) and 13 biochemical analytes (sodium, chloride, potassium, calcium, magnesium, phosphate, creatinine, aspartate transaminase, alanine transaminase, γ-glutamyltransferase, alkaline phosphatase, lactate dehydrogenase, and total protein). Conclusions: Continuous reference intervals capture the population changes in laboratory analytes during pediatric development more accurately than age groups. After local validation, the reference intervals provided should allow a more precise consideration of these dynamics in clinical decision making.