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- Masaaki Matsuura
Masaaki Matsuura
Affiliation
Cancer Institute, Cancer Genomics Attending Scientist
Contact
〒135-8550 8-31, Ariake 3-chome, Koto-ku, Tokyo
Tel：+81-3-3520-0111 (Ext. 5338)
Fax：+81-3-3570-0515
Mail：mmatsuura@jfcr.or.jp
Education & Professional Career
1982.3 Graduated from Faculty of Integrated Arts and Sciences, Hiroshima University
1982.4-1984.3 Master course student, Environmental Science , graduate school of Hiroshima University
1984.4-1996.5 Assistant Professor, Department of Epidemiology and Social medicine, Research Institute for Nuclear Medicine and Biology. Hiroshima University (Professor Minoru Kurihara)
1995.7 Ph.D. Thesis “Survival analyses of atomic bomb survivors in Hiroshima Prefecture, Japan, 1968-1982. – Cancer mortality risk among early entrants -.” School of Medicine, Hiroshima University (Professor Norihiko Hayakawa)
1996.6-2002.12 Associate Professor, Department of Environmetrics and Biometrics, Research Institute for Nuclear Medicine and Biology. (Professor Megu Ohtaki)
1997.10-1999.7 Fred Hutchinson Cancer Research Center (Seattle, USA) Visiting Scientist (additional post)
2002.1-2006.6 Senior Staff Scientist, Department of Physics, Cancer Institute, Japanese Foundation for Cancer Research.
2002.4-Present Group Leader, Bioinformatics Group, Genome Center, Japanese Foundation for Cancer Research.
2006.4-Present Visiting Associate Professor, School of Biomedical Science, Graduate School, Tokyo Medical and Dental University. (additional post)
2006.7-Present Current position
2009.4-Present Visiting Scientist, Antibiotic Laboratory, Riken (additional post)
2009.4-Present Part time lecture, Faculty of Pharmacy, Keio University (additional post)
2010.4-Present Visiting Professor, Institute of Statistical Mathematics (additional post)
Area of Research
・Bioinformatics
・Epidemiology
・Statistics
Membership
・Japanese Cancer association
・Japan Epidemiological Association
・Japan Statistical Society
・The Biometric Society of Japan
・Japanese Society of Applied Statistics
Research Projects
Development of prediction systems of adverse effects
To establish a personalized medicine, we have been developing statistical and bioinformatics methodologies for searching genes related with adverse effects based on SNP data from genome wide association study. Furthermore, we have been developing prediction system based on the selected genes. To construct a higher power prediction system, we developed a methodology for identifying haplotype blocks and also we took into account of information of ancestor haplotypes in the prediction system.
Development of prediction systems of treatment effects
To realize a personalized diagnosis, we have been constructing a prediction system of treatment effects of anticancer drug on cancer patients based on comprehensive gene expression profile data from microarrays. Similarly, we have been developing bioinformatics method to find genes which regulate malignancy or subtype of cancer, and to elucidate mechanism of biological treatment responses to cancers.
Development of methodology for analyzing data of Imaging Mass Spectrometry
Imaging Mass Spectrometry is a new technology for the analysis of compounds, biomarker, or protein expression to visualize their spatial distribution in tissues. We have been developing new algorisms and fast software for analyzing these data.
