Literature DB >> 30652543

An Architecture for Translational Cancer Research As Exemplified by the German Cancer Consortium.

Martin Lablans1, Esther Erika Schmidt1, Frank Ückert1.   

Abstract

Networking of medical institutions by means of a capable data infrastructure has the potential to open up vast amounts of routine data to translational cancer research. However, the secondary use of information collected independently in several institutions is a challenging task of data integration. In this review, we discuss the requirements and common challenges involved in the establishment of such a platform. We present methods and tools from the field of medical informatics as solutions to semantic and technical heterogeneity, questions of data protection and record linkage, as well as issues of trust and data ownership. We also describe the architecture of an existing cancer research network as an exemplary application of these methods.

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Year:  2018        PMID: 30652543     DOI: 10.1200/CCI.17.00062

Source DB:  PubMed          Journal:  JCO Clin Cancer Inform        ISSN: 2473-4276


  6 in total

1.  Enabling Precision Medicine in Cancer Care Through a Molecular Data Warehouse: The Moffitt Experience.

Authors:  Dana E Rollison; Steven A Eschrich; Jamie K Teer; Phillip Reisman; Erin Siegel; Chandan Challa; Patricia Lewis; Katherine Fellows; Everin Malpica; Rodrigo Carvajal; Guillermo Gonzalez; Scott Cukras; Miguel Betin-Montes; Garrick Aden-Buie; Melissa Avedon; Daniel Manning; Aik Choon Tan; Brooke L Fridley; Travis Gerke; Mattias Van Looveren; Amilcar Blake; Jennifer Greenman
Journal:  JCO Clin Cancer Inform       Date:  2021-05

2.  Joint Imaging Platform for Federated Clinical Data Analytics.

Authors:  Jonas Scherer; Marco Nolden; Jens Kleesiek; Jasmin Metzger; Klaus Kades; Verena Schneider; Michael Bach; Oliver Sedlaczek; Andreas M Bucher; Thomas J Vogl; Frank Grünwald; Jens-Peter Kühn; Ralf-Thorsten Hoffmann; Jörg Kotzerke; Oliver Bethge; Lars Schimmöller; Gerald Antoch; Hans-Wilhelm Müller; Andreas Daul; Konstantin Nikolaou; Christian la Fougère; Wolfgang G Kunz; Michael Ingrisch; Balthasar Schachtner; Jens Ricke; Peter Bartenstein; Felix Nensa; Alexander Radbruch; Lale Umutlu; Michael Forsting; Robert Seifert; Ken Herrmann; Philipp Mayer; Hans-Ulrich Kauczor; Tobias Penzkofer; Bernd Hamm; Winfried Brenner; Roman Kloeckner; Christoph Düber; Mathias Schreckenberger; Rickmer Braren; Georgios Kaissis; Marcus Makowski; Matthias Eiber; Andrei Gafita; Rupert Trager; Wolfgang A Weber; Jakob Neubauer; Marco Reisert; Michael Bock; Fabian Bamberg; Jürgen Hennig; Philipp Tobias Meyer; Juri Ruf; Uwe Haberkorn; Stefan O Schoenberg; Tristan Kuder; Peter Neher; Ralf Floca; Heinz-Peter Schlemmer; Klaus Maier-Hein
Journal:  JCO Clin Cancer Inform       Date:  2020-11

3.  Optimization of the Mainzelliste software for fast privacy-preserving record linkage.

Authors:  Florens Rohde; Martin Franke; Ziad Sehili; Martin Lablans; Erhard Rahm
Journal:  J Transl Med       Date:  2021-01-15       Impact factor: 5.531

4.  Record linkage based patient intersection cardinality for rare disease studies using Mainzelliste and secure multi-party computation.

Authors:  Martin Lablans; Kay Hamacher; Tobias Kussel; Torben Brenner; Galina Tremper; Josef Schepers
Journal:  J Transl Med       Date:  2022-10-08       Impact factor: 8.440

5.  OSIRIS: A Minimum Data Set for Data Sharing and Interoperability in Oncology.

Authors:  Julien Guérin; Yec'han Laizet; Vincent Le Texier; Laetitia Chanas; Bastien Rance; Florence Koeppel; François Lion; Sophie Gourgou; Anne-Laure Martin; Manuel Tejeda; Maud Toulmonde; Stéphanie Cox; Elisabeth Hess; Marina Rousseau-Tsangaris; Vianney Jouhet; Pierre Saintigny
Journal:  JCO Clin Cancer Inform       Date:  2021-03

6.  Mainzelliste SecureEpiLinker (MainSEL): privacy-preserving record linkage using secure multi-party computation.

Authors:  Sebastian Stammler; Tobias Kussel; Phillipp Schoppmann; Florian Stampe; Galina Tremper; Stefan Katzenbeisser; Kay Hamacher; Martin Lablans
Journal:  Bioinformatics       Date:  2022-03-04       Impact factor: 6.937

  6 in total

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