Chapter 13. Prostate Cancer

  1. Prof. Dr. Heike Allgayer PhD2,
  2. Prof. Dr. Helga Rehder3 and
  3. Prof. Dr. Simone Fulda4
  1. Raphaela Waidelich

Published Online: 21 AUG 2009

DOI: 10.1002/9783527627523.ch13

Hereditary Tumors: From Genes to Clinical Consequences

Hereditary Tumors: From Genes to Clinical Consequences

How to Cite

Waidelich, R. (2008) Prostate Cancer, in Hereditary Tumors: From Genes to Clinical Consequences (eds H. Allgayer, H. Rehder and S. Fulda), Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, Germany. doi: 10.1002/9783527627523.ch13

Editor Information

  1. 2

    University of Heidelberg and DKFZ (German Cancer Research Center) Heidelberg, Medical Faculty Mannheim, Chair of Experimental Surgery, Theodor-Kutzer-Ufer 1–3, 68167 Mannheim, Germany

  2. 3

    Medical University Vienna, Department of Medical Genetics, Währinger Strasse 10, 1090 Wien, Austria

  3. 4

    Ulm University Children's Hospital, Eythstrasse 24, 89075 Ulm, Germany

Author Information

  1. University of Munich, Department of Urology, Marchioninistrasse 15, 81377 Munich, Germany

Publication History

  1. Published Online: 21 AUG 2009
  2. Published Print: 17 DEC 2008

ISBN Information

Print ISBN: 9783527320288

Online ISBN: 9783527627523

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Keywords:

  • early onset;
  • familial aggregation;
  • germline mutations;
  • locus heterogeneity;
  • phenotypes;
  • segregation analysis

Summary

There is considerable evidence that both genetics and environment play a role in the origin and evolution of prostate cancer (PC). At least 22 genes show evidence of being involved in the origin and/or progression of PC. However, studies to assess the nature of familial aggregation of PC show conflicting results. Few, if any, genes that are reproducibly associated with increased risk for PC across different study populations have been identified, emphasizing the heterogeneous nature of this disease. Analyzing defined sets of families with common origin, and using the co-occurrence of other cancers in HPC families, are promising strategies for developing genetically homogeneous data for reducing locus heterogeneity problems associated with studying complex traits.