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Cancer Discovery

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In Focus

Integrative Cancer Epidemiology—The Next Generation

Margaret R. Spitz, Neil E. Caporaso and Thomas A. Sellers
Margaret R. Spitz
Authors' Affiliations:The Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas; Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland; and Moffitt Cancer Center, Tampa, Florida
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Neil E. Caporaso
Authors' Affiliations:The Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas; Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland; and Moffitt Cancer Center, Tampa, Florida
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Thomas A. Sellers
Authors' Affiliations:The Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas; Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland; and Moffitt Cancer Center, Tampa, Florida
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DOI: 10.1158/2159-8290.CD-12-0424 Published December 2012
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Abstract

Summary: We outline an integrative approach to extend the boundaries of molecular cancer epidemiology by integrating modern and rapidly evolving “omics” technologies into state-of-the-art molecular epidemiology. In this way, one can comprehensively explore the mechanistic underpinnings of epidemiologic observations in cancer risk and outcome. We highlight the exciting opportunities to collaborate across large observational studies and to forge new interdisciplinary collaborative ventures. Cancer Discov; 2(12); 1087–90. ©2012 AACR.

  • ©2012 American Association for Cancer Research.
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Cancer Discovery: 2 (12)
December 2012
Volume 2, Issue 12
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Integrative Cancer Epidemiology—The Next Generation
Margaret R. Spitz, Neil E. Caporaso and Thomas A. Sellers
Cancer Discov December 1 2012 (2) (12) 1087-1090; DOI: 10.1158/2159-8290.CD-12-0424

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Integrative Cancer Epidemiology—The Next Generation
Margaret R. Spitz, Neil E. Caporaso and Thomas A. Sellers
Cancer Discov December 1 2012 (2) (12) 1087-1090; DOI: 10.1158/2159-8290.CD-12-0424
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Cancer Discovery
eISSN: 2159-8290
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