Genome abnormalities precede prostate cancer and predict clinical relapse.

The American Journal of Pathology
Yan P YuJian-Hua Luo

Abstract

The prediction of prostate cancer clinical outcome remains a major challenge after the diagnosis, even with improved early detection by prostate-specific antigen (PSA) monitoring. To evaluate whether copy number variation (CNV) of the genomes in prostate cancer tumor, in benign prostate tissues adjacent to the tumor (AT), and in the blood of patients with prostate cancer predicts biochemical (PSA) relapse and the kinetics of relapse, 241 samples (104 tumor, 49 matched AT, 85 matched blood, and 3 cell lines) were analyzed using Affymetrix SNP 6.0 chips. By using gene-specific CNV from tumor, the genome model correctly predicted 73% (receiver operating characteristic P = 0.003) cases for relapse and 75% (P < 0.001) cases for short PSA doubling time (PSADT, <4 months). The gene-specific CNV model from AT correctly predicted 67% (P = 0.041) cases for relapse and 77% (P = 0.015) cases for short PSADT. By using median-sized CNV from blood, the genome model correctly predicted 81% (P < 0.001) cases for relapse and 69% (P = 0.001) cases for short PSADT. By using median-sized CNV from tumor, the genome model correctly predicted 75% (P < 0.001) cases for relapse and 80% (P < 0.001) cases for short PSADT. For the first time, our analysis ...Continue Reading

References

Feb 1, 1996·International Journal of Radiation Oncology, Biology, Physics·G E HanksT E Schultheiss
Dec 13, 2002·Proceedings of the National Academy of Sciences of the United States of America·Robert L StrausbergUNKNOWN Mammalian Gene Collection Program Team
Jan 1, 2003·Genes, Chromosomes & Cancer·Jürgen KrausMichael R Speicher
Mar 18, 2004·JAMA : the Journal of the American Medical Association·Andrew J StephensonKevin M Slawin
Jul 16, 2004·Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology·Yan Ping YuJian-Hua Luo
Aug 20, 2004·The New England Journal of Medicine·Massimo CristofanilliDaniel F Hayes
Sep 24, 2004·Cancer Genetics and Cytogenetics·Jill A MacoskaJeremy A Squire
Apr 30, 2005·Cancer Genetics and Cytogenetics·Sei-Ichi MatsuiJohn K Cowell
Aug 19, 2007·The Journal of Cell Biology·William Y TsangBrian David Dynlacht
Feb 22, 2008·CA: a Cancer Journal for Clinicians·Ahmedin JemalMichael J Thun
Sep 25, 2008·Journal of Cellular Biochemistry·Noretta CliffordRosemary O'Connor
Mar 20, 2009·The New England Journal of Medicine·Gerald L AndrioleUNKNOWN PLCO Project Team
Mar 20, 2009·The New England Journal of Medicine·Fritz H SchröderUNKNOWN ERSPC Investigators
Apr 9, 2009·Cancer Research·Amanda BlackfordRalph H Hruban
May 29, 2009·CA: a Cancer Journal for Clinicians·Ahmedin JemalMichael J Thun
Jun 2, 2009·Critical Reviews in Oncology/hematology·Angelos K KoutrasHaralabos P Kalofonos
Feb 5, 2010·Bioinformatics·Blaise HanczarEdward R Dougherty
Jun 29, 2010·Cancer Cell·Barry S TaylorWilliam L Gerald
Jul 9, 2010·CA: a Cancer Journal for Clinicians·Ahmedin JemalElizabeth Ward
Oct 1, 2010·Journal of Thoracic Oncology : Official Publication of the International Association for the Study of Lung Cancer·Shin Yup LeeJae Yong Park
Oct 28, 2010·Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology·Kathryn L PenneyMatthew L Freedman

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Citations

Mar 5, 2014·Asian Journal of Andrology·Joel B Nelson
Sep 9, 2015·Annals of Oncology : Official Journal of the European Society for Medical Oncology·E CastroUNKNOWN UKGPCS, EMBRACE and IMPACT studies
Sep 23, 2014·The American Journal of Pathology·Yan P YuJian-Hua Luo
Feb 11, 2016·International Journal of Cancer. Journal International Du Cancer·Benjamin A RybickiDeliang Tang
May 13, 2015·The American Journal of Pathology·Jian-Hua LuoYan P Yu
May 10, 2015·The American Journal of Pathology·Ze-Hua ZuoJian-Hua Luo
Mar 30, 2017·Tumour Biology : the Journal of the International Society for Oncodevelopmental Biology and Medicine·Seung S LeeMark A Trifiro
Jun 20, 2017·Methods : a Companion to Methods in Enzymology·Cong LiuHui Lu
Feb 2, 2019·Scientific Reports·Yan-Ping YuJian-Hua Luo

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