| Literature DB >> 32139917 |
Andreas Schneeweiss1, Andreas D Hartkopf2, Volkmar Müller3, Achim Wöckel4, Michael P Lux5, Wolfgang Janni6, Johannes Ettl7, Erik Belleville8, Jens Huober6, Marc Thill9, Peter A Fasching10, Hans-Christian Kolberg11, Patrik Pöschke10, Manfred Welslau12, Friedrich Overkamp13, Hans Tesch14, Tanja N Fehm15, Diana Lüftner16, Florian Schütz17.
Abstract
This review is intended to present the latest developments in the prevention and treatment of early breast cancer. The risk of breast cancer can be increasingly better characterised with large epidemiological studies on genetic and non-genetic risk factors. Through new analyses, the evidence for high-penetrance genes as well as for low-penetrance genes was able to be improved. New data on denosumab and atezolizumab are available in the neoadjuvant situation as is a pooled appraisal of numerous studies on capecitabine in the curative situation. There is also an update to the overall survival data of pertuzumab in the adjuvant situation with a longer follow-up observation period. Finally, digital medicine is steadily finding its way into science. A recently conducted study on automated breast cancer detection using artificial intelligence establishes the basis for a future review in clinical studies.Entities:
Keywords: digital medicine; early breast cancer; immune therapy; prevention; prognosis; therapy
Year: 2020 PMID: 32139917 PMCID: PMC7056401 DOI: 10.1055/a-1111-2431
Source DB: PubMed Journal: Geburtshilfe Frauenheilkd ISSN: 0016-5751 Impact factor: 2.915
Fig. 1Overall survival for patients in the OLympiaD study without previous therapies (printed under the Creative Commons Attribution Non-Commercial License from 10 ).
Table 1 Genes which were either established or discussed as risk genes for breast cancer.
| Gene name |
| Other homologous recombination genes | Other DNA repair genes | Other risk genes | Established breast cancer risk gene |
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Table 2 Genes in which variants are known which lead to an increase in the risk of breast cancer (according to 17 ).
| Genes with variants with an increase in risk for ER-positive breast cancer | Genes with variants with an increase in risk for ER-negative and ER-positive breast cancer | Genes with variants with an increase in risk for ER-negative breast cancer |
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Fig. 2Design of the GeparX study. GeparX is a multicentre, prospective, 2 × 2 randomised, open phase IIb study to compare a neoadjuvant chemotherapy with and without denosumab in patients with untreated breast cancer.
Fig. 3Design of the cbcsg010 study (Comparative Study on Two Post-operative Adjuvant Chemotherapy Regimens for Treating Triple-negative Breast Cancer, NCT01642771). [rerif]
Abb. 1Gesamtüberleben für Patientinnen in der OLympiaD-Studie ohne vorherige Vortherapien (abgedruckt unter der Creative Commons Attribution Non-Commercial License aus 10 ).
Tab. 1 Gene, die entweder als Risikogene für das Mammakarzinom etabliert oder diskutiert werden.
| Gen-Name |
| weitere Gene der homologen Rekombination | andere DNA-Reparatur-Gene | andere Risikogene | etablierte Brustkrebs-Risikogene |
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Tab. 2 Gene, in denen Varianten bekannt sind, die zu einer Risikoerhöhung für das Mammakarzinom führen (nach 17 ).
| Gene mit Varianten mit einer Risikoerhöhung für ER-positives Mammakarzinom | Gene mit Varianten mit einer Risikoerhöhung für ER-negatives und ER-positives Mammakarzinom | Gene mit Varianten mit einer Risikoerhöhung für ER-negatives Mammakarzinom |
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Abb. 2Design der GeparX-Studie. GeparX ist eine multizentrische, prospektive, 2 × 2 randomisierte, offene Phase-IIb-Studie zum Vergleich einer neoadjuvanten Chemotherapie mit und ohne Denosumab bei Patientinnen mit unbehandeltem Brustkrebs.
Abb. 3Design der cbcsg010-Studie (Comparative Study on Two Post-operative Adjuvant Chemotherapy Regimens for Treating Triple-negative Breast Cancer, NCT01642771). [rerif]