Cargando…

Polygenic susceptibility to testicular cancer: implications for personalised health care

BACKGROUND: The increasing incidence of testicular germ cell tumour (TGCT) combined with its strong heritable basis suggests that stratified screening for the early detection of TGCT may be clinically useful. We modelled the efficiency of such a personalised screening approach, based on genetic risk...

Descripción completa

Detalles Bibliográficos
Autores principales: Litchfield, Kevin, Mitchell, Jonathan S, Shipley, Janet, Huddart, Robert, Rajpert-De Meyts, Ewa, Skakkebæk, Niels E, Houlston, Richard S, Turnbull, Clare
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4815881/
https://www.ncbi.nlm.nih.gov/pubmed/26461055
http://dx.doi.org/10.1038/bjc.2015.334
_version_ 1782424638707466240
author Litchfield, Kevin
Mitchell, Jonathan S
Shipley, Janet
Huddart, Robert
Rajpert-De Meyts, Ewa
Skakkebæk, Niels E
Houlston, Richard S
Turnbull, Clare
author_facet Litchfield, Kevin
Mitchell, Jonathan S
Shipley, Janet
Huddart, Robert
Rajpert-De Meyts, Ewa
Skakkebæk, Niels E
Houlston, Richard S
Turnbull, Clare
author_sort Litchfield, Kevin
collection PubMed
description BACKGROUND: The increasing incidence of testicular germ cell tumour (TGCT) combined with its strong heritable basis suggests that stratified screening for the early detection of TGCT may be clinically useful. We modelled the efficiency of such a personalised screening approach, based on genetic risk profiling in combination with other diagnostic tools. METHODS: We compared the number of cases potentially detectable in the population under a number of screening models. The polygenic risk scoring (PRS) model was assumed to have a log-normal relative risk distribution across the 19 currently known TGCT susceptibility variants. The diagnostic performance of testicular biopsy and non-invasive semen analysis was also assessed, within a simulated combined screening programme. RESULTS: The area under the curve for the TGCT PRS model was 0.72 with individuals in the top 1% of the PRS having a nine-fold increased TGCT risk compared with the population median. Results from population-screening simulations only achieved a maximal positive predictive value (PPV) of 60%, highlighting broader clinical factors that challenge such strategies, not least the rare nature of TGCT. In terms of future improvements, heritability estimates suggest that a significant number of additional genetic risk factors for TGCT remain to be discovered, identification of which would potentially yield improvement of the PPV to 80–90%. CONCLUSIONS: While personalised screening models may offer enhanced TGCT risk discrimination, presently the case for population-level testing is not compelling. However, future advances, such as more routine generation of whole genome data is likely to alter the landscape. More targeted screening programs may plausibly then offer clinical benefit, particularly given the significant survivorship issues associated with the successful treatment of TGCT.
format Online
Article
Text
id pubmed-4815881
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Nature Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-48158812016-04-13 Polygenic susceptibility to testicular cancer: implications for personalised health care Litchfield, Kevin Mitchell, Jonathan S Shipley, Janet Huddart, Robert Rajpert-De Meyts, Ewa Skakkebæk, Niels E Houlston, Richard S Turnbull, Clare Br J Cancer Genetics & Genomics BACKGROUND: The increasing incidence of testicular germ cell tumour (TGCT) combined with its strong heritable basis suggests that stratified screening for the early detection of TGCT may be clinically useful. We modelled the efficiency of such a personalised screening approach, based on genetic risk profiling in combination with other diagnostic tools. METHODS: We compared the number of cases potentially detectable in the population under a number of screening models. The polygenic risk scoring (PRS) model was assumed to have a log-normal relative risk distribution across the 19 currently known TGCT susceptibility variants. The diagnostic performance of testicular biopsy and non-invasive semen analysis was also assessed, within a simulated combined screening programme. RESULTS: The area under the curve for the TGCT PRS model was 0.72 with individuals in the top 1% of the PRS having a nine-fold increased TGCT risk compared with the population median. Results from population-screening simulations only achieved a maximal positive predictive value (PPV) of 60%, highlighting broader clinical factors that challenge such strategies, not least the rare nature of TGCT. In terms of future improvements, heritability estimates suggest that a significant number of additional genetic risk factors for TGCT remain to be discovered, identification of which would potentially yield improvement of the PPV to 80–90%. CONCLUSIONS: While personalised screening models may offer enhanced TGCT risk discrimination, presently the case for population-level testing is not compelling. However, future advances, such as more routine generation of whole genome data is likely to alter the landscape. More targeted screening programs may plausibly then offer clinical benefit, particularly given the significant survivorship issues associated with the successful treatment of TGCT. Nature Publishing Group 2015-11-17 2015-10-13 /pmc/articles/PMC4815881/ /pubmed/26461055 http://dx.doi.org/10.1038/bjc.2015.334 Text en Copyright © 2015 Cancer Research UK http://creativecommons.org/licenses/by/4.0/ This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Genetics & Genomics
Litchfield, Kevin
Mitchell, Jonathan S
Shipley, Janet
Huddart, Robert
Rajpert-De Meyts, Ewa
Skakkebæk, Niels E
Houlston, Richard S
Turnbull, Clare
Polygenic susceptibility to testicular cancer: implications for personalised health care
title Polygenic susceptibility to testicular cancer: implications for personalised health care
title_full Polygenic susceptibility to testicular cancer: implications for personalised health care
title_fullStr Polygenic susceptibility to testicular cancer: implications for personalised health care
title_full_unstemmed Polygenic susceptibility to testicular cancer: implications for personalised health care
title_short Polygenic susceptibility to testicular cancer: implications for personalised health care
title_sort polygenic susceptibility to testicular cancer: implications for personalised health care
topic Genetics & Genomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4815881/
https://www.ncbi.nlm.nih.gov/pubmed/26461055
http://dx.doi.org/10.1038/bjc.2015.334
work_keys_str_mv AT litchfieldkevin polygenicsusceptibilitytotesticularcancerimplicationsforpersonalisedhealthcare
AT mitchelljonathans polygenicsusceptibilitytotesticularcancerimplicationsforpersonalisedhealthcare
AT shipleyjanet polygenicsusceptibilitytotesticularcancerimplicationsforpersonalisedhealthcare
AT huddartrobert polygenicsusceptibilitytotesticularcancerimplicationsforpersonalisedhealthcare
AT rajpertdemeytsewa polygenicsusceptibilitytotesticularcancerimplicationsforpersonalisedhealthcare
AT skakkebæknielse polygenicsusceptibilitytotesticularcancerimplicationsforpersonalisedhealthcare
AT houlstonrichards polygenicsusceptibilitytotesticularcancerimplicationsforpersonalisedhealthcare
AT turnbullclare polygenicsusceptibilitytotesticularcancerimplicationsforpersonalisedhealthcare