- Nik-Zainal Serena, Davies Helen, Staaf Johan, Ramakrishna Manasa, Glodzik Dominik, Zou Xueqing, Martincorena Inigo, Alexandrov Ludmil B., Martin Sancha, Wedge David C., van Loo Peter, Ju Young Seok, Smid Marcel, Brinkman Arie B., Morganella Sandro, Aure Miriam R., Lingjærde Ole Christian, Langerød Anita, Ringnér Markus, Ahn Sung-Min, Boyault Sandrine, Brock Jane E., Broeks Annegien, Butler Adam, Desmedt Christine, Dirix Luc, Dronov Serge, Fatima Aquila, Foekens John A., Gerstung Moritz, Hooijer Gerrit K. J., Jang Se Jin, Jones David R., Kim Hyung-Yong, King Tari A., Krishnamurthy Savitri, Lee Hee Jin, Lee Jeong-Yeon, Li Yilong, McLaren Stuart, Menzies Andrew, Mustonen Ville, O'Meara Sarah, Pauporté Iris, Pivot Xavier, Purdie Colin A., Raine Keiran, Ramakrishnan Kamna, Rodríguez-González F. Germán, Romieu Gilles, Sieuwerts Anieta M., Simpson Peter T., Shepherd Rebecca, Stebbings Lucy, Stefansson Olafur A., Teague Jon, Tommasi Stefania, Treilleux Isabelle, van den Eynden Gert G., Vermeulen Peter, Vincent-Salomon Anne, Yates Lucy, Caldas Carlos, van't Veer Laura, Tutt Andrew, Knappskog Stian, Tan Benita Kiat Tee, Jonkers Jos, Borg Åke, Ueno Naoto T., Sotiriou Christos, Viari Alain, Futreal P. Andrew, Campbell Peter J., Span Paul N., van Laere Steven, Lakhani Sunil R., Eyfjord Jorunn E., Thompson Alastair M., Birney Ewan, Stunnenberg Hendrik G., van de Vijver Marc J., Martens John W. M., Børresen-Dale Anne-Lise, Richardson Andrea L., Kong Gu, Thomas Gilles, Stratton Michael R. Landscape of somatic mutations in 560 breast cancer whole-genome sequences Nature 2016;534 (7605):47-+ [PubMed]
- Servant Nicolas, Bollet Marc A., Halfwerk Hans, Bleakley Kevin, Kreike Bas, Jacob Laurent, Sie Daoud, Kerkhoven Ron M., Hupé Philippe, Hadhri Rim, Fourquet Alain, Bartelink Harry, Barillot Emmanuel, Sigal-Zafrani Brigitte, van de Vijver Marc J. Search for a Gene Expression Signature of Breast Cancer Local Recurrence in Young Women Clinical cancer research 2012;18 (6):1704-1715 [PubMed]
- Savci-Heijink C. Dilara, Halfwerk Hans, Hooijer Gerrit K. J., Horlings Hugo M., Wesseling Jelle, van de Vijver Marc J. Retrospective analysis of metastatic behaviour of breast cancer subtypes Breast cancer research and treatment 2015;150 (3):547-557 [PubMed]
- Rutten M. J., Dijk F., Savci-Heijink C. D., Buist M. R., Kenter G. G., van de Vijver M. J., Jordanova E. S. HLA-G expression is an independent predictor for improved survival in high grade ovarian carcinomas Journal of immunology research 2014;2014:274584 [PubMed]
- Stephens Philip J., Tarpey Patrick S., Davies Helen, van Loo Peter, Greenman Chris, Wedge David C., Nik-Zainal Serena, Martin Sancha, Varela Ignacio, Bignell Graham R., Yates Lucy R., Papaemmanuil Elli, Beare David, Butler Adam, Cheverton Angela, Gamble John, Hinton Jonathan, Jia Mingming, Jayakumar Alagu, Jones David, Latimer Calli, Lau King Wai, McLaren Stuart, McBride David J., Menzies Andrew, Mudie Laura, Raine Keiran, Rad Roland, Chapman Michael Spencer, Teague Jon, Easton Douglas, Langerød Anita, Lee Ming Ta Michael, Shen Chen-Yang, tee Benita Tan Kiat, Huimin Bernice Wong, Broeks Annegien, Vargas Ana Cristina, Turashvili Gulisa, Martens John, Fatima Aquila, Miron Penelope, Chin Suet-Feung, Thomas Gilles, Boyault Sandrine, Mariani Odette, Lakhani Sunil R., van de Vijver Marc, van 't Veer Laura, Foekens John The landscape of cancer genes and mutational processes in breast cancer Nature 2012;486 (7403):400-+ [PubMed]
Prof. MD PhD M.J. van de Vijver (Genetic alterations and gene expression profiles of solid tumors)
Breast cancer is presently classified based on tumor diameter, histologic type and grade, lymph node status and estrogen receptor, progesterone receptor and HER2 status. This classification has important implications for the treatment of breast cancer patients.
A more refined classification should be possible based on genetic alterations and gene expression profiles.
The genetic alterations identified in breast cancer are amplification of between 10 and 20 oncogenes and mutations in tumor suppressor genes.
We have studied the genetic alterations (with a focus on HER2 gene amplification) in breast carcinomas in relation to clinical and pathological parameters.
Gene expression profiling has led to the identification of subsets of breast cancer revealed by unsupervised and supervised classification.
We have used supervised classification to identify a 70 gene prognosis profile and clinical studies are ongoing to investigate if and how this prognosis profile can be implemented in clinical practice.
In addition, our research is aimed at identifying genetic profiles associated with response to specific therapies.
The aims of our studies are to understand the development of breast cancer at the molecular level; and to use this knowledge in treating individual breast cancer patients.
Postdocs
PhD F. Dijk
PhD Students
S. Bosma
Others
BEng J.B.G. Halfwerk
MSc G.K.J. Hooijer
- AMC
- KWF Kankerbestrijding
- Life Sciences Health TKI
- N.K.I.
- TNO