Matthias Fischer

ORCID: 0000-0003-1363-1242
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About
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Research Areas
  • Neuroblastoma Research and Treatments
  • Cancer, Hypoxia, and Metabolism
  • Lung Cancer Research Studies
  • Protein Degradation and Inhibitors
  • Cancer therapeutics and mechanisms
  • Ubiquitin and proteasome pathways
  • Mitochondrial Function and Pathology
  • Neuroendocrine Tumor Research Advances
  • Virus-based gene therapy research
  • Microtubule and mitosis dynamics
  • Signaling Pathways in Disease
  • Cancer Genomics and Diagnostics
  • Glioma Diagnosis and Treatment
  • RNA modifications and cancer
  • Chromatin Remodeling and Cancer
  • Lung Cancer Treatments and Mutations
  • Telomeres, Telomerase, and Senescence
  • Cancer-related molecular mechanisms research
  • Genomics and Chromatin Dynamics
  • Cell death mechanisms and regulation
  • Genetics and Neurodevelopmental Disorders
  • Neurofibromatosis and Schwannoma Cases
  • Epigenetics and DNA Methylation
  • interferon and immune responses
  • PARP inhibition in cancer therapy

University Hospital Cologne
2016-2025

University of Cologne
2016-2025

Uniwersytecki Szpital Dziecięcy
2025

Children's Clinical University Hospital
2025

Carl-Thiem-Klinikum Cottbus
2021-2024

Universitätsklinikum Würzburg
2015-2024

Martin Luther University Halle-Wittenberg
2005-2024

Helios Vogtland Klinikum Plauen
2012-2024

University of Wisconsin–River Falls
2023

Klinik und Poliklinik für Kinder- und Jugendmedizin
2005-2022

Martin Peifer Lynnette Fernández-Cuesta Martin L. Sos Julie George Danila Seidel and 88 more Lawryn H. Kasper Dennis Plenker Frauke Leenders Ruping Sun Thomas Zander Roopika Menon Mirjam Koker Ilona Dahmen Christian Müller Vincenzo Di Cerbo Hans‐Ulrich Schildhaus Janine Altmüller Ingelore Baessmann Christian Becker Bram De Wilde Jo Vandesompele Diana Böhm Sascha Ansén Franziska Gabler Ines Wilkening Stefanie Heynck Johannes M. Heuckmann Xin Lü Scott L. Carter Kristian Cibulskis Shantanu Banerji Gad Getz Kwon-Sik Park Daniel Rauh Christian Grütter Matthias Fischer Laura Pasqualucci Gavin Wright Zoe Wainer Prudence A. Russell Iver Petersen Yuan Chen Erich Stoelben Corinna Ludwig Philipp A. Schnabel Hans Hoffmann Thomas Muley Michael Brockmann Walburga Engel-Riedel Lucia Anna Muscarella Vito Michele Fazio Harry J.M. Groen Wim Timens Hannie Sietsma Erik Thunnissen Egbert F. Smit Daniëlle A.M. Heideman Peter J.F. Snijders Federico Cappuzzo Claudia Ligorio Stefania Damiani John K. Field Steinar Solberg Odd Terje Brustugun Marius Lund‐Iversen Jörg Sänger Joachim H. Clement Alex Soltermann Holger Moch Walter Weder Benjamin Solomon Jean‐Charles Soria Pierre Validire Benjamin Besse Élisabeth Brambilla Christian Brambilla Sylvie Lantuéjoul Philippe Lorimier Peter M. Schneider Michael Hallek William Pao Matthew Meyerson Julien Sage Jay Shendure Robert C. Schneider Reinhard Büttner Jürgen Wolf Peter Nürnberg Sven Perner Lukas C. Heukamp Paul K. Brindle Stefan A. Haas Roman K. Thomas

10.1038/ng.2396 article EN Nature Genetics 2012-09-02

10.1038/nbt.2957 article EN Nature Biotechnology 2014-08-21

10.1038/nbt.1665 article EN Nature Biotechnology 2010-07-30

Abstract Purpose: The effects of pan–histone deacetylase (HDAC) inhibitors on cancer cells have shown that HDACs are involved in fundamental tumor biological processes such as cell cycle control, differentiation, and apoptosis. However, because the unselective nature these compounds, little is known about contribution individual HDAC family members to tumorigenesis progression. purpose this study was evaluate role neuroblastoma tumorigenesis. Experimental Design: We investigated mRNA...

10.1158/1078-0432.ccr-08-0684 article EN Clinical Cancer Research 2008-12-31

Gene expression profiling is being widely applied in cancer research to identify biomarkers for clinical endpoint prediction. Since RNA-seq provides a powerful tool transcriptome-based applications beyond the limitations of microarrays, we sought systematically evaluate performance RNA-seq-based and microarray-based classifiers this MAQC-III/SEQC study prediction using neuroblastoma as model.We generate gene profiles from 498 primary neuroblastomas both 44 k microarrays. Characterization...

10.1186/s13059-015-0694-1 article EN cc-by Genome Biology 2015-06-24

A systematic look at a childhood tumor Neuroblastomas—the most common type in infants—develop from fetal nerve cells, and their clinical course is highly variable. Some neuroblastomas are fatal despite treatment, whereas others respond well to treatment some undergo spontaneous regression without treatment. Ackermann et al. sequenced more than 400 pretreatment identified molecular features that characterize the three distinct outcomes. Low-risk tumors lack telomere maintenance mechanisms,...

10.1126/science.aat6768 article EN Science 2018-12-07

Children diagnosed at age ≥ 18 months with metastatic MYCN-nonamplified neuroblastoma (NBL-NA) are high risk for disease relapse, whereas those < nearly always cured. In this study, we investigated the hypothesis that expression of genes related to tumor-associated inflammatory cells correlates observed differences in survival by diagnosis and contributes a prognostic signature.Tumor-associated macrophages (TAMs) localized neuroblastomas (n = 71) were assessed immunohistochemistry....

10.1200/jco.2011.40.9169 article EN Journal of Clinical Oncology 2012-08-28

Neuroblastoma is an embryonal malignancy of the sympathetic nervous system. Spontaneous regression and differentiation neuroblastoma observed in a subset patients, has been suggested to represent delayed activation physiologic molecular programs fetal neuroblasts. Homeobox genes constitute important family transcription factors, which play fundamental role morphogenesis cell during embryogenesis. In this study, we demonstrate that expression majority human HOX class I homeobox significantly...

10.1038/cddis.2013.84 article EN cc-by Cell Death and Disease 2013-04-11

Abstract INFORM is a prospective, multinational registry gathering clinical and molecular data of relapsed, progressive, or high-risk pediatric patients with cancer. This report describes long-term follow-up 519 in whom alterations were evaluated according to predefined seven-scale target prioritization algorithm. Mean turnaround time from sample receipt was 25.4 days. The highest priority level observed 42 (8.1%). Of these, 20 received matched targeted treatment median progression-free...

10.1158/2159-8290.cd-21-0094 article EN cc-by-nc-nd Cancer Discovery 2021-08-09

Abstract MYCN amplification drives one in six cases of neuroblastoma. The supernumerary gene copies are commonly found on highly rearranged, extrachromosomal circular DNA (ecDNA). exact amplicon structure has not been described thus far and the functional relevance its rearrangements is unknown. Here, we analyze using short-read Nanopore sequencing chromatin landscape ChIP-seq, ATAC-seq Hi-C. This reveals two distinct classes amplicons which explain regulatory requirements for...

10.1038/s41467-020-19452-y article EN cc-by Nature Communications 2020-11-16

Abstract Aberrant expression of MYC transcription factor family members predicts poor clinical outcome in many human cancers. Oncogenic profoundly alters metabolism and mediates an antioxidant response to maintain redox balance. Here we show that MYCN induces massive lipid peroxidation on depletion cysteine, the rate-limiting amino acid for glutathione (GSH) biosynthesis, sensitizes cells ferroptosis, oxidative, non-apoptotic iron-dependent type cell death. The high cysteine demand...

10.1038/s43018-022-00355-4 article EN cc-by Nature Cancer 2022-04-28

Abstract Telomerase-negative tumors maintain telomere length by alternative lengthening of telomeres (ALT), but the underlying mechanism behind ALT remains poorly understood. A proportion aggressive neuroblastoma (NB), particularly relapsed tumors, are positive for (ALT+), suggesting that a better dissection could lead to novel therapeutic opportunities. TERRA, long non-coding RNA (lncRNA) derived from ends, localizes in R-loop-dependent manner and plays crucial role maintenance. Here we...

10.1093/nar/gkad1242 article EN cc-by Nucleic Acids Research 2024-01-05

To develop a gene expression-based classifier for neuroblastoma patients that reliably predicts courses of the disease.Two hundred fifty-one specimens were analyzed using customized oligonucleotide microarray comprising 10,163 probes transcripts with differential expression in clinical subgroups disease. Subsequently, prediction analysis microarrays (PAM) was applied to first set maximally divergent (n = 77). The classification accuracy estimated by complete 10-times-repeated 10-fold cross...

10.1200/jco.2006.06.1879 article EN Journal of Clinical Oncology 2006-10-30

Amplified MYCN oncogene resulting in deregulated transcriptional activity is observed 20% of neuroblastomas and identifies a highly aggressive subtype. In single-copy neuroblastomas, elevated mRNA protein levels are paradoxically associated with more favorable clinical phenotype, including disseminated tumors that subsequently regress spontaneously (stage 4s-non-amplified). this study, we asked whether distinct or c-MYC activities specific neuroblastoma phenotypes.We defined core set direct...

10.1186/gb-2008-9-10-r150 article EN cc-by Genome biology 2008-10-13

In the INRG dataset, hypothesis that any segmental chromosomal alteration might be of prognostic impact in neuroblastoma without MYCN amplification (MNA) was tested. The presence (chromosome 1p deletion, 11q deletion and/or chromosome 17q gain) defined a genomic profile. Only tumours with confirmed unaltered status for all three arms were considered as having no alterations. Among 8800 patients database, type could attributed 505 MNA: 397 cases had type, whereas 108 an absence alteration. A...

10.1038/bjc.2012.375 article EN cc-by-nc-sa British Journal of Cancer 2012-09-13

Abstract Background Gene expression microarray has been the primary biomarker platform ubiquitously applied in biomedical research, resulting enormous data, predictive models, and biomarkers accrued. Recently, RNA-seq looked likely to replace microarrays, but there will be a period where both technologies co-exist. This raises two important questions: Can microarray-based models directly data? future RNA-seq-based data leverage past investment? Results We systematically evaluated...

10.1186/s13059-014-0523-y article EN cc-by Genome biology 2014-12-03
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