Jürgen C. Becker

ORCID: 0000-0001-9183-653X
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About
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Research Areas
  • Polyomavirus and related diseases
  • Immunotherapy and Immune Responses
  • CAR-T cell therapy research
  • Antenna Design and Analysis
  • Full-Duplex Wireless Communications
  • Cancer Immunotherapy and Biomarkers
  • Cutaneous Melanoma Detection and Management
  • Cutaneous lymphoproliferative disorders research
  • Bacteriophages and microbial interactions
  • Plant Virus Research Studies
  • Melanoma and MAPK Pathways
  • T-cell and B-cell Immunology
  • Immune Cell Function and Interaction
  • Nonmelanoma Skin Cancer Studies
  • Lymphoma Diagnosis and Treatment
  • Dental Implant Techniques and Outcomes
  • Cell Adhesion Molecules Research
  • Monoclonal and Polyclonal Antibodies Research
  • vaccines and immunoinformatics approaches
  • Fungal Infections and Studies
  • Periodontal Regeneration and Treatments
  • Cancer and Skin Lesions
  • T-cell and Retrovirus Studies
  • Peptidase Inhibition and Analysis
  • Nail Diseases and Treatments

Essen University Hospital
2016-2025

German Cancer Research Center
2016-2025

Heidelberg University
2016-2025

University of Duisburg-Essen
2016-2025

Deutschen Konsortium für Translationale Krebsforschung
2016-2025

University Hospital Heidelberg
2006-2025

DKFZ-ZMBH Alliance
2019-2025

Heinrich Heine University Düsseldorf
2013-2024

German Marine Research Consortium
2015-2024

Düsseldorf University Hospital
2003-2024

Activating mutations in serine–threonine protein kinase B-RAF (BRAF) are found 50% of patients with advanced melanoma. Selective BRAF-inhibitor therapy improves survival, as compared chemotherapy, but responses often short-lived. In previous trials, MEK inhibition appeared to be promising this population.

10.1056/nejmoa1203421 article EN New England Journal of Medicine 2012-06-14

The primary objective of this study was to confirm the efficacy romidepsin in patients with treatment refractory cutaneous T-cell lymphoma (CTCL).This international, pivotal, single-arm, open-label, phase II conducted stage IB IVA CTCL who had received one or more prior systemic therapies. Patients as an intravenous infusion at a dose 14 mg/m(2) on days 1, 8, and 15 every 28 days. Response determined by composite assessment total tumor burden including disease, lymph node involvement, blood...

10.1200/jco.2010.28.9066 article EN Journal of Clinical Oncology 2010-08-10

Merkel cell carcinoma (MCC) is the most aggressive skin cancer. Recently, it was demonstrated that human polyomavirus (MCV) clonally integrated in approximately 80% of MCC tumors. However, direct evidence for whether oncogenic viral proteins are needed maintenance cells still missing. To address this question, we knocked down MCV T-antigen (TA) expression MCV-positive lines using three different short hairpin RNA (shRNA)-expressing vectors targeting exon 1 TAs. The used include newly...

10.1128/jvi.02400-09 article EN Journal of Virology 2010-05-06

Induction of p53 activity in cells undergoing DNA synthesis represents a molecular conflict that can lead to apoptosis. During angiogenesis, proliferative endothelial become apoptotic response antagonists integrin alphavbeta3 and this leads the regression angiogenic blood vessels, thereby blocking growth various human tumors. Evidence is presented administration during angiogenesis vivo selectively caused activation cell increased expression p53-inducible cycle inhibitor p21WAF1/CIP1. In...

10.1172/jci118808 article EN Journal of Clinical Investigation 1996-07-15

Merkel cell polyomavirus (MCV) is a newly-discovered human tumor virus found in approximately 80% of carcinoma (MCC). The rate MCV infection among persons without MCC unknown. We developed virus-like particle (VLP) enzyme-linked immunoassay (EIA) that does not cross-react with BK or murine polyomaviruses. Peptide mapping the VP1 gene and immunoblotting denatured VLP are less sensitive than EIA detecting antibodies suggesting antibody reactivity this assay primarily targets conformational but...

10.1002/ijc.24509 article EN cc-by International Journal of Cancer 2009-04-14
Achim Hekler Jochen Utikal Alexander Enk Axel Hauschild Michael Weichenthal and 95 more Roman C. Maron Carola Berking Sebastian Haferkamp Joachim Klode Dirk Schadendorf Bastian Schilling Tim Holland‐Letz Benjamin Izar Christof von Kalle Stefan Fröhling Titus J. Brinker Laurenz Schmitt Wiebke K. Peitsch Friederike Hoffmann Jürgen C. Becker Christina Drusio Philipp Jansen Joachim Klode Georg Lodde Stefanie Sammet Dirk Schadendorf Wiebke Sondermann Selma Ugurel Jeannine Zader Alexander Enk Martin Salzmann Sarah K. Schäfer Knut Schäkel Julia K. Winkler Priscilla Wölbing Hiba Asper Ann‐Sophie Bohne Victoria Brown Bianca Burba Sophia Deffaa Cecilia Dietrich Matthias Dietrich Katharina Drerup Friederike Egberts Anna‐Sophie Erkens Salim Greven Viola Harde Marion Jost Merit Kaeding Katharina Kosova S. Lischner Maria Maagk Anna Laetitia Messinger Malte Metzner Rogina Motamedi Ann-Christine Rosenthal Ulrich Seidl Jana Stemmermann Kaspar Torz Juliana Giraldo Velez Jennifer Haiduk Mareike Alter Claudia Bär Paul Bergenthal Anne Gerlach Christian Holtorf Ante Karoglan Sophie Kindermann Luise Kraas Moritz Felcht Maria Rita Gaiser Claus‐Detlev Klemke Hjalmar Kurzen Thomas Leibing Verena Müller Raphael Reinhard Jochen Utikal Franziska Winter Carola Berking Laurie Eicher Daniela Hartmann Markus V. Heppt Katharina Kilian Sebastian Krammer Diana Lill Anne‐Charlotte Niesert Eva Oppel Elke Sattler Sonja Senner Jens Wallmichrath Hans Wolff Anja Gesierich Tina Giner Valerie Glutsch Andreas Kerstan Dagmar Presser Philipp Schrüfer Patrick Schummer Ina Stolze Judith Weber

BackgroundIn recent studies, convolutional neural networks (CNNs) outperformed dermatologists in distinguishing dermoscopic images of melanoma and nevi. In these artificial intelligence were considered as opponents. However, the combination classifiers frequently yields superior results, both machine learning among humans. this study, we investigated potential benefit combining human for skin cancer classification.MethodsUsing 11,444 images, which divided into five diagnostic categories,...

10.1016/j.ejca.2019.07.019 article EN cc-by-nc-nd European Journal of Cancer 2019-09-10

Schwarz F, Sahm N, Iglhaut G, Becker J. Impact of the method surface debridement and decontamination on clinical outcome following combined surgical therapy peri-implantitis: a randomized controlled study. J Clin Peridontol 2011; 38: 276–284. doi: 10.1111/j.1600-051X.2010.01690.x. Abstract Objectives: The study aimed at investigating impact two debridement/decontamination (DD) methods outcomes treatment peri-implantitis. Material Methods: Thirty-two patients suffering from advanced...

10.1111/j.1600-051x.2010.01690.x article EN Journal Of Clinical Periodontology 2011-01-11
Roman C. Maron Michael Weichenthal Jochen Utikal Achim Hekler Carola Berking and 95 more Axel Hauschild Alexander Enk Sebastian Haferkamp Joachim Klode Dirk Schadendorf Philipp Jansen Tim Holland‐Letz Bastian Schilling Christof von Kalle Stefan Fröhling Maria Rita Gaiser Daniela Hartmann Anja Gesierich Katharina C. Kähler Ulrike Wehkamp Ante Karoglan Claudia Bär Titus J. Brinker Laurenz Schmitt Wiebke K. Peitsch Friederike Hoffmann Jürgen C. Becker Christina Drusio Philipp Jansen Joachim Klode Georg Lodde Stefanie Sammet Dirk Schadendorf Wiebke Sondermann Selma Ugurel Jeannine Zader Alexander Enk Martin Salzmann Sarah K. Schäfer Knut Schäkel Julia K. Winkler Priscilla Wölbing Hiba Asper Ann‐Sophie Bohne Victoria Brown Bianca Burba Sophia Deffaa Cecilia Dietrich Matthias Dietrich Katharina Drerup Friederike Egberts Anna‐Sophie Erkens Salim Greven Viola Harde Marion Jost Merit Kaeding Katharina Kosova S. Lischner Maria Maagk Anna Laetitia Messinger Malte Metzner Rogina Motamedi Ann-Christine Rosenthal Ulrich Seidl Jana Stemmermann Kaspar Torz Juliana Giraldo Velez Jennifer Haiduk Mareike Alter Claudia Bär Paul Bergenthal Anne Gerlach Christian Holtorf Ante Karoglan Sophie Kindermann Luise Kraas Moritz Felcht Maria Rita Gaiser Claus‐Detlev Klemke Hjalmar Kurzen Thomas Leibing Verena Müller Raphael Reinhard Jochen Utikal Franziska Winter Carola Berking Laurie Eicher Daniela Hartmann Markus V. Heppt Katharina Kilian Sebastian Krammer Diana Lill Anne‐Charlotte Niesert Eva Oppel Elke Sattler Sonja Senner Jens Wallmichrath Hans Wolff Tina Giner Valerie Glutsch

BackgroundRecently, convolutional neural networks (CNNs) systematically outperformed dermatologists in distinguishing dermoscopic melanoma and nevi images. However, such a binary classification does not reflect the clinical reality of skin cancer screenings which multiple diagnoses need to be taken into account.MethodsUsing 11,444 images, covered dermatologic comprising majority commonly pigmented lesions faced screenings, CNN was trained through novel deep learning techniques. A test set...

10.1016/j.ejca.2019.06.013 article EN cc-by-nc-nd European Journal of Cancer 2019-08-14

Anti-PD-1 therapy is used as a front-line treatment for many cancers, but mechanistic insight into this resistance still lacking. Here we generate humanized (Hu)-mouse melanoma model by injecting fetal liver-derived CD34+ cells and implanting autologous thymus in immune-deficient NOD-scid IL2Rγnull (NSG) mice. Reconstituted Hu-mice are challenged with HLA-matched melanomas treated anti-PD-1, which results restricted tumor growth not complete regression. Tumor RNA-seq, multiplexed imaging...

10.1038/s41467-020-20600-7 article EN cc-by Nature Communications 2021-01-12
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