C
Cristina Cadenas
Researcher at Technical University of Dortmund
Publications - 47
Citations - 2075
Cristina Cadenas is an academic researcher from Technical University of Dortmund. The author has contributed to research in topics: Breast cancer & Cancer. The author has an hindex of 22, co-authored 41 publications receiving 1582 citations. Previous affiliations of Cristina Cadenas include Leibniz Institute for Neurobiology.
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Journal ArticleDOI
Adverse outcome pathways: opportunities, limitations and open questions.
Marcel Leist,Ahmed Ghallab,Ahmed Ghallab,Rabea Graepel,Rosemarie Marchan,Reham Hassan,Reham Hassan,Susanne Hougaard Bennekou,Alice Limonciel,Mathieu Vinken,Stefan Schildknecht,Tanja Waldmann,Erik H.J. Danen,Ben van Ravenzwaay,Hennicke Kamp,Iain Gardner,Patricio Godoy,Frédéric Y. Bois,Albert Braeuning,Raymond Reif,Franz Oesch,Dirk Drasdo,Dirk Drasdo,Stefan Höhme,Michael Schwarz,Thomas Hartung,Thomas Braunbeck,Joost B. Beltman,Harry Vrieling,Ferran Sanz,Anna Forsby,Anna Forsby,Domenico Gadaleta,Ciarán Fisher,Jens M. Kelm,David A. Fluri,Gerhard F. Ecker,Barbara Zdrazil,Andrea Terron,Paul Jennings,Bart van der Burg,Steven Dooley,Annemarie H. Meijer,Egon Willighagen,Egon Willighagen,Marvin Martens,Chris T. Evelo,Chris T. Evelo,Enrico Mombelli,Olivier Taboureau,Olivier Taboureau,Alberto Mantovani,Barry Hardy,Bjørn E. V. Koch,Sylvia Escher,Christoph van Thriel,Cristina Cadenas,Dinant Kroese,Bob van de Water,Jan G. Hengstler +59 more
TL;DR: The history of the AOP concept and its most prominent strengths are discussed, including the advantages of a formalized approach, the systematic collection of weight of evidence, the linkage of mechanisms to apical end points, the examination of the plausibility of epidemiological data, the identification of critical knowledge gaps and the design of mechanistic test methods.
Journal ArticleDOI
A Comprehensive Analysis of Human Gene Expression Profiles Identifies Stromal Immunoglobulin κ C as a Compatible Prognostic Marker in Human Solid Tumors
Marcus Schmidt,Birte Hellwig,Birte Hellwig,Seddik Hammad,Amnah Othman,Miriam Lohr,Miriam Lohr,Zonglin Chen,D. Boehm,Susanne Gebhard,IB Petry,Antje Lebrecht,Cristina Cadenas,Rosemarie Marchan,Joanna Stewart,Christine Solbach,Lars Holmberg,Karolina Edlund,Hanna Göransson Kultima,Hanna Göransson Kultima,Achim Rody,Anders Berglund,Anders Berglund,Mats Lambe,Anders Isaksson,Anders Isaksson,Johan Botling,Thomas Karn,Volkmar Müller,Aslihan Gerhold-Ay,Christina Cotarelo,Martin Sebastian,Ralf Kronenwett,Hans Bojar,Hans A. Lehr,Ugur Sahin,Heinz Koelbl,M. Gehrmann,Patrick Micke,Jörg Rahnenführer,Jörg Rahnenführer,Jan G. Hengstler +41 more
TL;DR: IGKC was consistently associated with metastasis-free survival across different molecular subtypes in node-negative breast cancer and predicted response to anthracycline-based neoadjuvant chemotherapy and was prognostic in NSCLC and colorectal cancer.
Journal ArticleDOI
Loss of circadian clock gene expression is associated with tumor progression in breast cancer
Cristina Cadenas,Leonie van de Sandt,Karolina Edlund,Miriam Lohr,Birte Hellwig,Rosemarie Marchan,Marcus Schmidt,Jörg Rahnenführer,Henrik Oster,Jan G. Hengstler +9 more
TL;DR: Co Coordinated co-expression of clock genes, indicative of a functional circadian clock, is maintained in ER+, HER2-, low grade and non-metastasizing tumors but is compromised in more aggressive carcinomas.
Journal ArticleDOI
The prognostic relevance of tumour-infiltrating plasma cells and immunoglobulin kappa C indicates an important role of the humoral immune response in non-small cell lung cancer.
Miriam Lohr,Karolina Edlund,Johan Botling,Seddik Hammad,Seddik Hammad,Birte Hellwig,Amnah Othman,Anders Berglund,Mats Lambe,Lars Holmberg,Simon Ekman,Michael Bergqvist,Fredrik Pontén,Cristina Cadenas,Rosemarie Marchan,Jan G. Hengstler,Jörg Rahnenführer,Patrick Micke +17 more
TL;DR: Investigating the influence of B-cell and plasma cell markers, as well as IGKC expression, in non-small lung cancer using immunohistochemistry on a tissue microarray found IGKC protein expression was independently associated with longer survival, with particular impact in the adenocarcinoma subgroup.
Journal ArticleDOI
Combining transcription factor binding affinities with open-chromatin data for accurate gene expression prediction
Florian Schmidt,Florian Schmidt,Nina Gasparoni,Gilles Gasparoni,Kathrin Gianmoena,Cristina Cadenas,Julia K. Polansky,Peter Ebert,Karl Nordström,Matthias Barann,Anupam Sinha,Sebastian Froehler,Jieyi Xiong,Azim Dehghani Amirabad,Azim Dehghani Amirabad,Fatemeh Behjati Ardakani,Fatemeh Behjati Ardakani,Barbara Hutter,Gideon Zipprich,Baerbel Felder,Jürgen Eils,Benedikt Brors,Wei Chen,Jan G. Hengstler,Alf Hamann,Thomas Lengauer,Philip Rosenstiel,Jörn Walter,Marcel H. Schulz +28 more
TL;DR: A novel segmentation-based method, TEPIC, is reported to predict TF binding by combining sets of OCRs with position weight matrices, and finds low affinity binding sites to improve the ability to explain gene expression variability compared to the standard presence/absence classification of binding sites.