Friederike Egberts

ORCID: 0000-0003-0839-4350
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About
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Research Areas
  • Cutaneous Melanoma Detection and Management
  • Melanoma and MAPK Pathways
  • Nonmelanoma Skin Cancer Studies
  • Immunotherapy and Immune Responses
  • CAR-T cell therapy research
  • Protein Degradation and Inhibitors
  • Cutaneous lymphoproliferative disorders research
  • Cancer Immunotherapy and Biomarkers
  • Cancer therapeutics and mechanisms
  • Computational Drug Discovery Methods
  • AI in cancer detection
  • Nail Diseases and Treatments
  • Cell Image Analysis Techniques
  • Cancer Genomics and Diagnostics
  • Genetic and rare skin diseases.
  • Hedgehog Signaling Pathway Studies
  • Peptidase Inhibition and Analysis
  • Cancer Diagnosis and Treatment
  • Fungal Infections and Studies
  • Polyomavirus and related diseases
  • Plant Pathogens and Fungal Diseases
  • Lymphoma Diagnosis and Treatment
  • Epigenetics and DNA Methylation
  • Male Breast Health Studies
  • Breast Cancer Treatment Studies

University Hospital Schleswig-Holstein
2011-2021

University of Lübeck
2011-2021

National and Kapodistrian University of Athens
2019

Andreas Sygros Hospital
2019

Universitäts Hautklinik Kiel
2010-2018

Kiel University
2006-2016

University Hospital Heidelberg
2013

Massachusetts General Hospital
2013

Dana-Farber Cancer Institute
2013

Harvard–MIT Division of Health Sciences and Technology
2013

Most patients with BRAF(V600)-mutant metastatic melanoma develop resistance to selective RAF kinase inhibitors. The spectrum of clinical genetic mechanisms inhibitors and options for salvage therapy are incompletely understood. We performed whole-exome sequencing on formalin-fixed, paraffin-embedded tumors from 45 who received vemurafenib or dabrafenib monotherapy. Genetic alterations in known putative inhibitor genes were observed 23 (51%). Besides previously characterized alterations, we...

10.1158/2159-8290.cd-13-0617 article EN Cancer Discovery 2013-11-22
Titus J. Brinker Achim Hekler Alexander Enk Joachim Klode Axel Hauschild and 95 more Carola Berking Bastian Schilling Sebastian Haferkamp Dirk Schadendorf Tim Holland‐Letz Jochen Utikal Christof von Kalle Wiebke Ludwig‐Peitsch Judith Sirokay Lucie Heinzerling Magarete Albrecht Katharina Baratella Lena Bischof Eleftheria Chorti Anna Dith Christina Drusio Nina Giese Emmanouil Gratsias Klaus Griewank Sandra Hallasch Zdenka Hanhart Saskia Herz Katja Hohaus Philipp Jansen Finja Jockenhöfer Theodora Kanaki Sarah Knispel Katja Leonhard Anna Martaki Liliana Matei Johanna Matull Alexandra Olischewski Maximilian Petri Jan‐Malte Placke Simon Raub Katrin Salva Swantje Schlott Elsa Sody Nadine Steingrube Ingo Stoffels Selma Ugurel Anne Zaremba Christoffer Gebhardt Nina Booken Maria Christolouka Kristina Buder‐Bakhaya Therezia Bokor‐Billmann Alexander Enk Patrick Gholam Holger Hänßle Martin Salzmann Sarah K. Schäfer Knut Schäkel Timo Schank Ann‐Sophie Bohne Sophia Deffaa Katharina Drerup Friederike Egberts Anna‐Sophie Erkens Benjamin Ewald Sandra Falkvoll Sascha Gerdes Viola Harde Axel Hauschild Marion Jost Katja Kosova Laetitia Messinger Malte Metzner Kirsten Morrison Rogina Motamedi Anja Pinczker Anne Rosenthal Natalie Scheller Thomas Schwarz Dora Stölzl Federieke Thielking Elena Tomaschewski Ulrike Wehkamp Michael Weichenthal Oliver Wiedow Claudia Bär Sophia Bender-Säbelkampf Marc Horbrügger Ante Karoglan Luise Kraas Jörg Faulhaber Cyrill Géraud Ze Guo Philipp Koch Miriam Linke Nolwenn Maurier Verena Müller Benjamin Thomas Jochen Utikal Ali Saeed M. Alamri

Recent studies have successfully demonstrated the use of deep-learning algorithms for dermatologist-level classification suspicious lesions by excessive proprietary image databases and limited numbers dermatologists. For first time, performance a algorithm trained open-source images exclusively is compared to large number dermatologists covering all levels within clinical hierarchy.We used methods from enhanced deep learning train convolutional neural network (CNN) with 12,378 dermoscopic...

10.1016/j.ejca.2019.04.001 article EN cc-by-nc-nd European Journal of Cancer 2019-04-10
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
Titus J. Brinker Achim Hekler Alexander Enk Joachim Klode Axel Hauschild and 95 more Carola Berking Bastian Schilling Sebastian Haferkamp Dirk Schadendorf Stefan Fröhling Jochen Utikal Christof von Kalle Wiebke Ludwig‐Peitsch Judith Sirokay Lucie Heinzerling Magarete Albrecht Katharina Baratella Lena Bischof Eleftheria Chorti Anna Dith Christina Drusio Nina Giese Emmanouil Gratsias Klaus Griewank Sandra Hallasch Zdenka Hanhart Saskia Herz Katja Hohaus Philipp Jansen Finja Jockenhöfer Theodora Kanaki Sarah Knispel Katja Leonhard Anna Martaki Liliana Matei Johanna Matull Alexandra Olischewski Maximilian Petri Jan-Malte Placke Simon Raub Katrin Salva Swantje Schlott Elsa Sody Nadine Steingrube Ingo Stoffels Selma Ugurel Wiebke Sondermann Anne Zaremba Christoffer Gebhardt Nina Booken Maria Christolouka Kristina Buder‐Bakhaya Therezia Bokor‐Billmann Alexander Enk Patrick Gholam Holger Hänßle Martin Salzmann Sarah K. Schäfer Knut Schäkel Timo Schank Ann-Sophie Bohne Sophia Deffaa Katharina Drerup Friederike Egberts Anna-Sophie Erkens Benjamin Ewald Sandra Falkvoll Sascha Gerdes Viola Harde Axel Hauschild Marion Jost Katja Kosova Laetitia Messinger Malte Metzner Kirsten Morrison Rogina Motamedi Anja Pinczker Anne Rosenthal Natalie Scheller Thomas Schwarz Dora Stölzl Federieke Thielking Elena Tomaschewski Ulrike Wehkamp Michael Weichenthal Oliver Wiedow Claudia Bär Sophia Bender-Säbelkampf Marc Horbrügger Ante Karoglan Luise Kraas Jörg Faulhaber Cyrill Géraud Ze Guo Philipp Koch Miriam Linke Nolwenn Maurier Verena Müller Benjamin Thomas Jochen Utikal

10.1016/j.ejca.2019.02.005 article EN cc-by-nc-nd European Journal of Cancer 2019-03-07

Selective inhibition of mutant BRAF by using class I RAF inhibitors in patients with metastatic melanoma has resulted impressive clinical activity. However, there is also evidence that might induce carcinogenesis or promote tumor progression via stimulation MAPK signaling wild-type cells. We analyzed melanocytic lesions arising under inhibitor treatment for dignity, specific genetic mutations, expression signal transduction molecules.In all, 22 cutaneous had either developed considerably...

10.1200/jco.2011.41.1660 article EN Journal of Clinical Oncology 2012-05-22
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

We previously demonstrated that the aspartate protease cathepsin D is activated by ceramide derived from acid sphingomyelinase. Increased expression of in skin has been reported wound healing, psoriasis and tumors. explored specific functions during epidermal differentiation. Protein enzymatic activity increased differentiated keratinocytes both stratified organotypic cultures mouse barrier repair. Treatment cultured with exogenous transglutaminase 1, known to cross-link cornified envelope...

10.1242/jcs.01075 article EN Journal of Cell Science 2004-05-01

Abstract Purpose: To determine the prognostic significance of a multimarker assay incorporating expression levels three molecular markers in primary cutaneous melanoma. Experimental Design: We assessed NCOA3, SPP1, and RGS1 using immunohistochemical analysis tissue microarray cohort 395 patients. For each marker, we identified optimal cut-points for intensity to predict disease-specific survival (DSS) and, as secondary endpoint, sentinel lymph node (SLN) status. The cumulative overexpression...

10.1158/1078-0432.ccr-09-1777 article EN Clinical Cancer Research 2009-11-04

PURPOSE Low-dose (LD) interferon (IFN) alfa (LDI) has demonstrated a consistent disease-free survival benefit for patients with clinically lymph node-negative melanoma in clinical trials. However, the optimal duration of treatment is still under discussion, and no previous trial evaluated this question specifically. A prolongation LDI from 18 months to 60 might be intermediate or high-risk melanoma. PATIENTS AND METHODS Eight hundred fifty resected cutaneous at least 1.5 mm tumor thickness...

10.1200/jco.2009.23.1704 article EN Journal of Clinical Oncology 2010-01-05

Abstract Background Nodular melanoma (NM) is more likely to be fatal compared with other subtypes, an effect attributed its greater Breslow thickness. Methods Clinicopathological features of NM and superficial spreading (SSM) diagnosed in 17 centers Europe (n = 15), the United States, Australia between 2006 2015, were analyzed by multivariable logistic regression analysis, emphasis on thin (T1 ≤ 1.0 mm) melanomas. Cox analysis assessed melanoma-specific survival. All statistical tests two...

10.1093/jnci/djz034 article EN JNCI Journal of the National Cancer Institute 2019-03-11

At present there is no international consensus on laboratory testing during the follow-up of melanoma patients. We carried out a prospective monitoring study usefulness lactate dehydrogenase (LDH) and protein S-100B assessment in high-risk Ninety-seven patients treated within randomized trials adjuvant treatment received quarterly clinical visits blood examinations. During median observation period 30 months disease progression was observed 52 97 (53.1%). The course correlated to elevated...

10.1097/cmr.0b013e32831993cc article EN Melanoma Research 2009-01-19

Commonly, in patients with melanoma metastases of an unknown primary tumor (MUP), extensive search for the is carried out. Recently, highly recurrent telomerase reverse transcriptase (TERT)-promoter mutations were found malignant melanomas, which may function as driver skin cancer. The aim this study was to test hypothesis that MUP and mucosal melanomas harbor different prevalences TERT-promoter mutations. Thirty-nine 53 retrieved. In total, 152 paraffin samples 92 analyzed, 38 patients,...

10.1097/cmr.0000000000000048 article EN Melanoma Research 2014-01-24

Subcutaneous T-cell lymphoma (STCL) represents a controversial entity and confused concept in the field of cutaneous lymphomas (CTCLs). Recently, alpha/beta+/CD8+ STCL has been recognized by new World Health Organization (WHO)-European for Research Treatment Cancer (EORTC) classification primary as distinct group CTCLs.We reviewed series 53 biopsies from 26 patients (F : M = 19:7; median age: 48; range 18-87) B- characterized prominent involvement subcutaneous tissue. We could classify our...

10.1111/j.0303-6987.2006.00493.x article EN Journal of Cutaneous Pathology 2006-06-01

Background: The prognosis of metastatic melanoma is poor. purpose this study was to perform a long-term survival analysis on patients with advanced determine clinical and laboratory prognostic factors for treatment outcome survival. importance S100B serum levels overall compared lactate dehydrogenase (LDH) evaluated. Patients Methods: medical records 105 AJCC (American Joint Committee Cancer) stage IV from 1994 2001 were analyzed retrospectively. Median time progression assessed. Univariate...

10.1159/000135492 article EN Onkologie 2008-01-01

Adjuvant treatment with interferon-α (IFN-α) for patients malignant melanoma can improve relapse-free and overall survival, but IFN-associated side effects may reduce patient's quality of life. The aim the study was to prospectively evaluate health-related life (HRQoL) in before during Low-Dose IFN-α therapy. In a prospective multicenter trial conducted by Dermatologic Cooperative Oncology Group, 850 cutaneous stage II received standard IFN-α-2a. We evaluated HRQoL using European...

10.1097/cji.0b013e31821b7a4b article EN Journal of Immunotherapy 2011-04-15
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