Michael Zeschnigk

Michael Zeschnigk


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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23 June 2013 in Nature Genetics
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Journal Article
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MMMarcel Martin
Marcel Martin
LMLars Maßhöfer
Lars Maßhöfer
PTPetra Temming
Petra Temming
SRSven Rahmann
Sven Rahmann
CMClaudia Metz
Claudia Metz
MZMichael Zeschnigk
Michael Zeschnigk

15 May 2003
Verified
Journal Article
Closed access
FTFrank Tschentscher
Frank Tschentscher
JHJohannes Hüsing
Johannes Hüsing
THTanja Hölter
Tanja Hölter
EKElisabeth Kruse
Elisabeth Kruse
IDIrina Gana Dresen
Irina Gana Dresen
MZMichael Zeschnigk
Michael Zeschnigk

21 February 2012 in British Journal of Cancer
Verified
Journal Article
Open access
STS Thomas
S Thomas
CPC Pütter
C Pütter
SWS Weber
S Weber
NBN Bornfeld
N Bornfeld
DLD R Lohmann
D R Lohmann
MZMichael Zeschnigk
Michael Zeschnigk
Background: Methods: Results: Conclusion:

9 January 2008 in European Journal of Human Genetics
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Journal Article
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MZMichael Zeschnigk
Michael Zeschnigk
BABeate Albrecht
Beate Albrecht
KBKarin Buiting
Karin Buiting
DKDeniz Kanber
Deniz Kanber
TEThomas Eggermann
Thomas Eggermann
BHBernhard Horsthemke
Bernhard Horsthemke

26 August 2011 in BMC Cancer
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Journal Article
Open access
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LNLisa C Neumann
Lisa C Neumann
AWAndreas Weinhaeusel
Andreas Weinhaeusel
STStefanie Thomas
Stefanie Thomas
BHBernhard Horsthemke
Bernhard Horsthemke
DLDietmar Lohmann
Dietmar Lohmann
MZMichael Zeschnigk
Michael Zeschnigk
Background: Uveal melanoma (UM) is a rare eye tumor. There are two classes of UM, which can be discriminated by the chromosome 3 status or global mRNA expression profile. Metastatic progression is predominantly originated from class II tumors or from tumors showing loss of an entire chromosome 3 (monosomy 3). We performed detailed EFS (embryonal Fyn-associated substrate) methylation analyses in UM, cultured uveal melanocytes and normal tissues, to explore the role of the differentially methylated EFS promoter region CpG island in tumor classification and metastatic progression. Methods: EFS methylation was determined by direct sequencing of PCR products from bisulfite-treated DNA or by sequence analysis of individual cloned PCR products. The results were associated with clinical features of tumors and tumor-related death of patients. Results: Analysis of 16 UM showed full methylation of the EFS CpG island in 8 (50%), no methylation in 5 (31%) and partial methylation in 3 (19%) tumors. Kaplan-Meier analysis revealed a higher risk of metastatic progression for tumors with EFS methylation (p = 0.02). This correlation was confirmed in an independent set of 24 randomly chosen tumors. Notably, only UM with EFS methylation gave rise to metastases. Real-time quantitative RT-PCR expression analysis revealed a significant inverse correlation of EFS mRNA expression with EFS methylation in UM. We further found that EFS methylation is tissue-specific with full methylation in peripheral blood cells, and no methylation in sperm, cultured primary fibroblasts and fetal muscle, kidney and brain. Adult brain samples, cultured melanocytes from the uveal tract, fetal liver and 3 of 4 buccal swab samples showed partial methylation. EFS methylation always affects both alleles in normal and tumor samples. Conclusions: Biallelic EFS methylation is likely to be the result of a site-directed methylation mechanism. Based on partial methylation as observed in cultured melanocytes we hypothesize that there might be methylated and unmethylated precursor cells located in the uveal tract. The EFS methylation of a UM may depend on which type of precursor cell the tumor originated from.

30 October 2019 in Cancers
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Journal Article
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FPFrancesca Piaggio
Francesca Piaggio
VTVeronica Tozzo
Veronica Tozzo
CBCinzia Bernardi
Cinzia Bernardi
MCMichela Croce
Michela Croce
RProberto puzone
roberto puzone
AAAdriana Agnese Amaro
Adriana Agnese Amaro
Background: Uveal melanoma (UM), a rare cancer of the eye, is characterized by initiating mutations in the genes G-protein subunit alpha Q (GNAQ), G-protein subunit alpha 11 (GNA11), cysteinyl leukotriene receptor 2 (CYSLTR2), and phospholipase C beta 4 (PLCB4) and by metastasis-promoting mutations in the genes splicing factor 3B1 (SF3B1), serine and arginine rich splicing factor 2 (SRSF2), and BRCA1-associated protein 1 (BAP1). Here, we tested the hypothesis that additional mutations, though occurring in only a few cases (“secondary drivers”), might influence tumor development. Methods: We analyzed all the 4125 mutations detected in exome sequencing datasets, comprising a total of 139 Ums, and tested the enrichment of secondary drivers in Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways that also contained the initiating mutations. We searched for additional mutations in the putative secondary driver gene protein tyrosine kinase 2 beta (PTK2B) and we developed new mutational signatures that explain the mutational pattern observed in UM. Results: Secondary drivers were significantly enriched in KEGG pathways that also contained GNAQ and GNA11, such as the calcium-signaling pathway. Many of the secondary drivers were known cancer driver genes and were strongly associated with metastasis and survival. We identified additional mutations in PTK2B. Sparse dictionary learning allowed for the identification of mutational signatures specific for UM. Conclusions: A considerable part of rare mutations that occur in addition to known driver mutations are likely to affect tumor development and progression.