Cancer genome analysis: A landscape seen from many angles

Henrik Edgren; Maija Wolf; Olli Kallioniemi; Matthias Nees

doi:10.1016/j.ddmec.2008.05.003

Cancer genome analysis: A landscape seen from many angles

Henrik Edgren, Maija Wolf, Olli Kallioniemi, Matthias Nees (Corresponding Author)

VTT Technical Research Centre of Finland

Research output: Contribution to journal › Article › Scientific

Abstract

Somatic mutations and copy number alterations are the basis for cancer development and progression, and their identification is crucial for the development of novel diagnostics and therapies. Identification of somatic alterations has been greatly sped up by recent technological progresses, such as CGH and SNP arrays, and high-throughput DNA sequencing. An immense set of genomic data will be available in the near future. It will be mandatory to overlay and integrate multiple levels of genomic and functional information, aiming for the bigger picture of cancer biology. The ultimate goal will be a detailed understanding of pathways and mechanisms altered in cancer, leading the way to improved therapeutic strategies.

Original language	English
Pages (from-to)	269-276
Journal	Drug Discovery Today: Disease Mechanisms
Volume	4
Issue number	4
DOIs	https://doi.org/10.1016/j.ddmec.2008.05.003
Publication status	Published - 2007
MoE publication type	B1 Article in a scientific magazine

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10.1016/j.ddmec.2008.05.003

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title = "Cancer genome analysis: A landscape seen from many angles",

abstract = "Somatic mutations and copy number alterations are the basis for cancer development and progression, and their identification is crucial for the development of novel diagnostics and therapies. Identification of somatic alterations has been greatly sped up by recent technological progresses, such as CGH and SNP arrays, and high-throughput DNA sequencing. An immense set of genomic data will be available in the near future. It will be mandatory to overlay and integrate multiple levels of genomic and functional information, aiming for the bigger picture of cancer biology. The ultimate goal will be a detailed understanding of pathways and mechanisms altered in cancer, leading the way to improved therapeutic strategies.",

author = "Henrik Edgren and Maija Wolf and Olli Kallioniemi and Matthias Nees",

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T2 - A landscape seen from many angles

AU - Edgren, Henrik

AU - Wolf, Maija

AU - Kallioniemi, Olli

AU - Nees, Matthias

PY - 2007

Y1 - 2007

N2 - Somatic mutations and copy number alterations are the basis for cancer development and progression, and their identification is crucial for the development of novel diagnostics and therapies. Identification of somatic alterations has been greatly sped up by recent technological progresses, such as CGH and SNP arrays, and high-throughput DNA sequencing. An immense set of genomic data will be available in the near future. It will be mandatory to overlay and integrate multiple levels of genomic and functional information, aiming for the bigger picture of cancer biology. The ultimate goal will be a detailed understanding of pathways and mechanisms altered in cancer, leading the way to improved therapeutic strategies.

AB - Somatic mutations and copy number alterations are the basis for cancer development and progression, and their identification is crucial for the development of novel diagnostics and therapies. Identification of somatic alterations has been greatly sped up by recent technological progresses, such as CGH and SNP arrays, and high-throughput DNA sequencing. An immense set of genomic data will be available in the near future. It will be mandatory to overlay and integrate multiple levels of genomic and functional information, aiming for the bigger picture of cancer biology. The ultimate goal will be a detailed understanding of pathways and mechanisms altered in cancer, leading the way to improved therapeutic strategies.

U2 - 10.1016/j.ddmec.2008.05.003

DO - 10.1016/j.ddmec.2008.05.003

M3 - Article

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SP - 269

EP - 276

JO - Drug Discovery Today: Disease Mechanisms

JF - Drug Discovery Today: Disease Mechanisms

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ER -

Cancer genome analysis: A landscape seen from many angles

Abstract

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