Cancer Landscapes: an interactive, global map of regulation in human cancer
A major challenge in current cancer research is to gain biological insight from large scale molecular data from patient samples. In this project, we invent new mathematical methods to construct regulatory maps of multiple cancer diagnoses. The Nelander lab uses data from both public sources and from IGP/SciLifeLab. The results are made available on a new web resource, Cancer Landscapes [1]. A unique feature of Cancer Landscapes is that very complex data become available in an intuitive form, which we and others can use to design experiments [2,3,4]
New mathematical models of brain tumor progression and invasiveness
Brain tumors are characterized by invasive growth, which makes surgical resection inefficient. In this project, the Nelander lab is developing new mathematical simulations of brain tumor growth to understand the principles of brain tumor invasiveness, and to determine new strategies to inhibit invasive growth. The models should be applicable to designing relevant cell screens for glioblastoma and cytometry-based patient prognostics [5,6].
Research group
PI:Sven Nelander
Department of Immunology, Genetics and Pathology, Neuro-Oncologym, Uppsala University
Links and references
[1] Efficient exploration of pan-cancer networks by generalized covariance selection and interactive web content. Kling T, Johansson P, Sanchez J, Marinescu VD, Jörnsten R, Nelander S. Nucleic Acids Res. 2015 Sep 3;43(15):e98.
[2]Origin of the U87MG glioma cell line: Good news and bad news. Allen M, Bjerke M, Edlund H, Nelander S, Westermark B.Science Translational Medicine. 2016 Aug 31;8(354)
[3]Integrative modeling reveals epigenetic regulation of mesenchymal glioblastoma. In press, 2016.
[4] High sensitivity isoelectric focusing to establish a signaling biomarker for the diagnosis of human colorectal cancer. Padhan N, Nordling TE, Sundström M, Åkerud P, Birgisson H, Nygren P, Nelander S, Claesson-Welsh L. BMC Cancer. 2016 Aug 25;16(1):683.
[5]Travelling wave analysis of a mathematical model of glioblastoma growth. Gerlee P, Nelander S. Math Biosci. 2016 Jun;276:75-81.
[6]The impact of phenotypic switching on glioblastoma growth and invasion. Gerlee P, Nelander S. PLoS Comput Biol. 2012;8(6):e1002556.