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Prostate cancer risk prediction based on complete prostate cancer family history

BACKGROUND: Prostate cancer (PC) relative risks (RRs) are typically estimated based on status of close relatives or presence of any affected relatives. This study provides RR estimates using extensive and specific PC family history. METHODS: A retrospective population-based study was undertaken to e...

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Autores principales: Albright, Frederick, Stephenson, Robert A, Agarwal, Neeraj, Teerlink, Craig C, Lowrance, William T, Farnham, James M, Albright, Lisa A Cannon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BlackWell Publishing Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4293302/
https://www.ncbi.nlm.nih.gov/pubmed/25408531
http://dx.doi.org/10.1002/pros.22925
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author Albright, Frederick
Stephenson, Robert A
Agarwal, Neeraj
Teerlink, Craig C
Lowrance, William T
Farnham, James M
Albright, Lisa A Cannon
author_facet Albright, Frederick
Stephenson, Robert A
Agarwal, Neeraj
Teerlink, Craig C
Lowrance, William T
Farnham, James M
Albright, Lisa A Cannon
author_sort Albright, Frederick
collection PubMed
description BACKGROUND: Prostate cancer (PC) relative risks (RRs) are typically estimated based on status of close relatives or presence of any affected relatives. This study provides RR estimates using extensive and specific PC family history. METHODS: A retrospective population-based study was undertaken to estimate RRs for PC based on complete family history of PC. A total of 635,443 males, all with ancestral genealogy data, were analyzed. RRs for PC were determined based upon PC rates estimated from males with no PC family history (without PC in first, second, or third degree relatives). RRs were determined for a variety of constellations, for example, number of first through third degree relatives; named (grandfather, father, uncle, cousins, brothers); maternal, paternal relationships, and age of onset. RESULTS: In the 635,443 males analyzed, 18,105 had PC. First-degree RRs ranged from 2.46 (=1 first-degree relative affected, CI = 2.39–2.53) to 7.65 (=4 first-degree relatives affected, CI = 6.28–9.23). Second-degree RRs for probands with 0 affected first-degree relatives ranged from 1.51 (≥1 second-degree relative affected, CI = 1.47–1.56) to 3.09 (≥5 second-degree relatives affected, CI = 2.32–4.03). Third-degree RRs with 0 affected first- and 0 affected second-degree relatives ranged from 1.15 (≥1 affected third-degree relative, CI = 1.12–1.19) to 1.50 (≥5 affected third-degree relatives, CI = 1.35–1.66). RRs based on age at diagnosis were higher for earlier age at diagnoses; for example, RR = 5.54 for ≥1 first-degree relative diagnosed before age 50 years (CI = 1.12–1.19) and RR = 1.78 for >1 second-degree relative diagnosed before age 50 years, CI = 1.33, 2.33. RRs for equivalent maternal versus paternal family history were not significantly different. CONCLUSIONS: A more complete PC family history using close and distant relatives and age at diagnosis results in a wider range of estimates of individual RR that are potentially more accurate than RRs estimated from summary family history. The presence of PC in second- and even third-degree relatives contributes significantly to risk. Maternal family history is just as significant as paternal family history. PC RRs based on a proband's complete constellation of affected relatives will allow patients and care providers to make more informed screening, monitoring, and treatment decisions. Prostate 75:390–398, 2015. © 2014 Wiley Periodicals, Inc.
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spelling pubmed-42933022015-02-02 Prostate cancer risk prediction based on complete prostate cancer family history Albright, Frederick Stephenson, Robert A Agarwal, Neeraj Teerlink, Craig C Lowrance, William T Farnham, James M Albright, Lisa A Cannon Prostate Original Articles BACKGROUND: Prostate cancer (PC) relative risks (RRs) are typically estimated based on status of close relatives or presence of any affected relatives. This study provides RR estimates using extensive and specific PC family history. METHODS: A retrospective population-based study was undertaken to estimate RRs for PC based on complete family history of PC. A total of 635,443 males, all with ancestral genealogy data, were analyzed. RRs for PC were determined based upon PC rates estimated from males with no PC family history (without PC in first, second, or third degree relatives). RRs were determined for a variety of constellations, for example, number of first through third degree relatives; named (grandfather, father, uncle, cousins, brothers); maternal, paternal relationships, and age of onset. RESULTS: In the 635,443 males analyzed, 18,105 had PC. First-degree RRs ranged from 2.46 (=1 first-degree relative affected, CI = 2.39–2.53) to 7.65 (=4 first-degree relatives affected, CI = 6.28–9.23). Second-degree RRs for probands with 0 affected first-degree relatives ranged from 1.51 (≥1 second-degree relative affected, CI = 1.47–1.56) to 3.09 (≥5 second-degree relatives affected, CI = 2.32–4.03). Third-degree RRs with 0 affected first- and 0 affected second-degree relatives ranged from 1.15 (≥1 affected third-degree relative, CI = 1.12–1.19) to 1.50 (≥5 affected third-degree relatives, CI = 1.35–1.66). RRs based on age at diagnosis were higher for earlier age at diagnoses; for example, RR = 5.54 for ≥1 first-degree relative diagnosed before age 50 years (CI = 1.12–1.19) and RR = 1.78 for >1 second-degree relative diagnosed before age 50 years, CI = 1.33, 2.33. RRs for equivalent maternal versus paternal family history were not significantly different. CONCLUSIONS: A more complete PC family history using close and distant relatives and age at diagnosis results in a wider range of estimates of individual RR that are potentially more accurate than RRs estimated from summary family history. The presence of PC in second- and even third-degree relatives contributes significantly to risk. Maternal family history is just as significant as paternal family history. PC RRs based on a proband's complete constellation of affected relatives will allow patients and care providers to make more informed screening, monitoring, and treatment decisions. Prostate 75:390–398, 2015. © 2014 Wiley Periodicals, Inc. BlackWell Publishing Ltd 2015-03 2014-11-18 /pmc/articles/PMC4293302/ /pubmed/25408531 http://dx.doi.org/10.1002/pros.22925 Text en © 2014 The Authors. The Prostate Published by Wiley Periodicals, Inc. http://creativecommons.org/licenses/by/3.0/ This is an open access article under the terms of the Creative Commons Attribution NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Albright, Frederick
Stephenson, Robert A
Agarwal, Neeraj
Teerlink, Craig C
Lowrance, William T
Farnham, James M
Albright, Lisa A Cannon
Prostate cancer risk prediction based on complete prostate cancer family history
title Prostate cancer risk prediction based on complete prostate cancer family history
title_full Prostate cancer risk prediction based on complete prostate cancer family history
title_fullStr Prostate cancer risk prediction based on complete prostate cancer family history
title_full_unstemmed Prostate cancer risk prediction based on complete prostate cancer family history
title_short Prostate cancer risk prediction based on complete prostate cancer family history
title_sort prostate cancer risk prediction based on complete prostate cancer family history
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4293302/
https://www.ncbi.nlm.nih.gov/pubmed/25408531
http://dx.doi.org/10.1002/pros.22925
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