University of Groningen
In silico strategies to improve insight in breast cancer
Bense, Rico
DOI:
10.33612/diss.101935267
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Publication date: 2019
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Citation for published version (APA):
Bense, R. (2019). In silico strategies to improve insight in breast cancer. Rijksuniversiteit Groningen. https://doi.org/10.33612/diss.101935267
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IN SILICO STRATEGIES TO IMPROVE
INSIGHT IN BREAST CANCER
Printing of this thesis was financially supported by the Graduate School of Medical Sciences, Stichting Werkgroep Interne Oncologie, and the University of Groningen.
Cover: Remco Wetzels
Printed by: ridderprint.nl
ISBN: 978-94-034-2156-8
ISBN (electronic version): 978-94-034-2155-1 © 2019 R.D. Bense
All rights reserved. No part of this thesis may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, mechanically, by photocopying, recording, or otherwise, without prior written permission of the author.
In silico strategies to improve
insight in breast cancer
Proefschrift
ter verkrijging van de graad van doctor aan de Rijksuniversiteit Groningen
op gezag van de
rector magnificus prof. dr. C. Wijmenga en volgens besluit van het College voor Promoties.
De openbare verdediging zal plaatsvinden op woensdag 20 november 2019 om 16.15 uur
door
Rico Delano Bense
geboren op 15 augustus 1991 te Venlo
Promotores
Prof dr. E.G.E. de Vries Dr. C.P. Schröder
Copromotor
Dr. R.S.N. Fehrmann
Beoordelingscommissie
Prof dr. T.N. Wijmenga Prof dr. E. van der Wall Prof dr. H. Hollema
Paranifmen
Arkajyoti Bhattacharya Maarten Huismans
CONTENTS
Chapter 1 General introduction 9
Chapter 2 Considering the biology of late recurrences in selecting patients for extended endocrine therapy in breast cancer Cancer Treat Rev. 2018;70:118-126
15
Chapter 3 Relevance of tumor-infiltrating immune cell composition and functionality for disease outcome in breast cancer
J Natl Cancer Inst. 2017;109:djw192
37
Chapter 4 Consideration of breast cancer subtype in targeting the androgen receptor
Pharmacol Ther. 2019;200:135-147
85
Chapter 5 Transcriptional effects of copy number alterations and their associations with biological processes in a large set of human cancers
Submitted
117
Chapter 6 Functional genomic mRNA profiling of a large cancer data base demonstrates mesothelin overexpression in a broad range of tumor types
Oncotarget. 2015;6:28164-28172
151
Chapter 7 Discussion and future perspectives 165
Chapter 8 Nederlandse samenvatting (Dutch summary) 173