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The clinical utility and costs of whole-genome sequencing to detect cancer susceptibility variants—a multi-site prospective cohort study
BACKGROUND: Many families and individuals do not meet criteria for a known hereditary cancer syndrome but display unusual clusters of cancers. These families may carry pathogenic variants in cancer predisposition genes and be at higher risk for developing cancer. METHODS: This multi-centre prospecti...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507925/ https://www.ncbi.nlm.nih.gov/pubmed/37723522 http://dx.doi.org/10.1186/s13073-023-01223-1 |
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author | Davidson, Aimee L. Dressel, Uwe Norris, Sarah Canson, Daffodil M. Glubb, Dylan M. Fortuno, Cristina Hollway, Georgina E. Parsons, Michael T. Vidgen, Miranda E. Holmes, Oliver Koufariotis, Lambros T. Lakis, Vanessa Leonard, Conrad Wood, Scott Xu, Qinying McCart Reed, Amy E. Pickett, Hilda A. Al-Shinnag, Mohammad K. Austin, Rachel L. Burke, Jo Cops, Elisa J. Nichols, Cassandra B. Goodwin, Annabel Harris, Marion T. Higgins, Megan J. Ip, Emilia L. Kiraly-Borri, Catherine Lau, Chiyan Mansour, Julia L. Millward, Michael W. Monnik, Melissa J. Pachter, Nicholas S. Ragunathan, Abiramy Susman, Rachel D. Townshend, Sharron L. Trainer, Alison H. Troth, Simon L. Tucker, Katherine M. Wallis, Mathew J. Walsh, Maie Williams, Rachel A. Winship, Ingrid M. Newell, Felicity Tudini, Emma Pearson, John V. Poplawski, Nicola K. Mar Fan, Helen G. James, Paul A. Spurdle, Amanda B. Waddell, Nicola Ward, Robyn L. |
author_facet | Davidson, Aimee L. Dressel, Uwe Norris, Sarah Canson, Daffodil M. Glubb, Dylan M. Fortuno, Cristina Hollway, Georgina E. Parsons, Michael T. Vidgen, Miranda E. Holmes, Oliver Koufariotis, Lambros T. Lakis, Vanessa Leonard, Conrad Wood, Scott Xu, Qinying McCart Reed, Amy E. Pickett, Hilda A. Al-Shinnag, Mohammad K. Austin, Rachel L. Burke, Jo Cops, Elisa J. Nichols, Cassandra B. Goodwin, Annabel Harris, Marion T. Higgins, Megan J. Ip, Emilia L. Kiraly-Borri, Catherine Lau, Chiyan Mansour, Julia L. Millward, Michael W. Monnik, Melissa J. Pachter, Nicholas S. Ragunathan, Abiramy Susman, Rachel D. Townshend, Sharron L. Trainer, Alison H. Troth, Simon L. Tucker, Katherine M. Wallis, Mathew J. Walsh, Maie Williams, Rachel A. Winship, Ingrid M. Newell, Felicity Tudini, Emma Pearson, John V. Poplawski, Nicola K. Mar Fan, Helen G. James, Paul A. Spurdle, Amanda B. Waddell, Nicola Ward, Robyn L. |
author_sort | Davidson, Aimee L. |
collection | PubMed |
description | BACKGROUND: Many families and individuals do not meet criteria for a known hereditary cancer syndrome but display unusual clusters of cancers. These families may carry pathogenic variants in cancer predisposition genes and be at higher risk for developing cancer. METHODS: This multi-centre prospective study recruited 195 cancer-affected participants suspected to have a hereditary cancer syndrome for whom previous clinical targeted genetic testing was either not informative or not available. To identify pathogenic disease-causing variants explaining participant presentation, germline whole-genome sequencing (WGS) and a comprehensive cancer virtual gene panel analysis were undertaken. RESULTS: Pathogenic variants consistent with the presenting cancer(s) were identified in 5.1% (10/195) of participants and pathogenic variants considered secondary findings with potential risk management implications were identified in another 9.7% (19/195) of participants. Health economic analysis estimated the marginal cost per case with an actionable variant was significantly lower for upfront WGS with virtual panel ($8744AUD) compared to standard testing followed by WGS ($24,894AUD). Financial analysis suggests that national adoption of diagnostic WGS testing would require a ninefold increase in government annual expenditure compared to conventional testing. CONCLUSIONS: These findings make a case for replacing conventional testing with WGS to deliver clinically important benefits for cancer patients and families. The uptake of such an approach will depend on the perspectives of different payers on affordability. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-023-01223-1. |
format | Online Article Text |
id | pubmed-10507925 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105079252023-09-20 The clinical utility and costs of whole-genome sequencing to detect cancer susceptibility variants—a multi-site prospective cohort study Davidson, Aimee L. Dressel, Uwe Norris, Sarah Canson, Daffodil M. Glubb, Dylan M. Fortuno, Cristina Hollway, Georgina E. Parsons, Michael T. Vidgen, Miranda E. Holmes, Oliver Koufariotis, Lambros T. Lakis, Vanessa Leonard, Conrad Wood, Scott Xu, Qinying McCart Reed, Amy E. Pickett, Hilda A. Al-Shinnag, Mohammad K. Austin, Rachel L. Burke, Jo Cops, Elisa J. Nichols, Cassandra B. Goodwin, Annabel Harris, Marion T. Higgins, Megan J. Ip, Emilia L. Kiraly-Borri, Catherine Lau, Chiyan Mansour, Julia L. Millward, Michael W. Monnik, Melissa J. Pachter, Nicholas S. Ragunathan, Abiramy Susman, Rachel D. Townshend, Sharron L. Trainer, Alison H. Troth, Simon L. Tucker, Katherine M. Wallis, Mathew J. Walsh, Maie Williams, Rachel A. Winship, Ingrid M. Newell, Felicity Tudini, Emma Pearson, John V. Poplawski, Nicola K. Mar Fan, Helen G. James, Paul A. Spurdle, Amanda B. Waddell, Nicola Ward, Robyn L. Genome Med Research BACKGROUND: Many families and individuals do not meet criteria for a known hereditary cancer syndrome but display unusual clusters of cancers. These families may carry pathogenic variants in cancer predisposition genes and be at higher risk for developing cancer. METHODS: This multi-centre prospective study recruited 195 cancer-affected participants suspected to have a hereditary cancer syndrome for whom previous clinical targeted genetic testing was either not informative or not available. To identify pathogenic disease-causing variants explaining participant presentation, germline whole-genome sequencing (WGS) and a comprehensive cancer virtual gene panel analysis were undertaken. RESULTS: Pathogenic variants consistent with the presenting cancer(s) were identified in 5.1% (10/195) of participants and pathogenic variants considered secondary findings with potential risk management implications were identified in another 9.7% (19/195) of participants. Health economic analysis estimated the marginal cost per case with an actionable variant was significantly lower for upfront WGS with virtual panel ($8744AUD) compared to standard testing followed by WGS ($24,894AUD). Financial analysis suggests that national adoption of diagnostic WGS testing would require a ninefold increase in government annual expenditure compared to conventional testing. CONCLUSIONS: These findings make a case for replacing conventional testing with WGS to deliver clinically important benefits for cancer patients and families. The uptake of such an approach will depend on the perspectives of different payers on affordability. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-023-01223-1. BioMed Central 2023-09-19 /pmc/articles/PMC10507925/ /pubmed/37723522 http://dx.doi.org/10.1186/s13073-023-01223-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Davidson, Aimee L. Dressel, Uwe Norris, Sarah Canson, Daffodil M. Glubb, Dylan M. Fortuno, Cristina Hollway, Georgina E. Parsons, Michael T. Vidgen, Miranda E. Holmes, Oliver Koufariotis, Lambros T. Lakis, Vanessa Leonard, Conrad Wood, Scott Xu, Qinying McCart Reed, Amy E. Pickett, Hilda A. Al-Shinnag, Mohammad K. Austin, Rachel L. Burke, Jo Cops, Elisa J. Nichols, Cassandra B. Goodwin, Annabel Harris, Marion T. Higgins, Megan J. Ip, Emilia L. Kiraly-Borri, Catherine Lau, Chiyan Mansour, Julia L. Millward, Michael W. Monnik, Melissa J. Pachter, Nicholas S. Ragunathan, Abiramy Susman, Rachel D. Townshend, Sharron L. Trainer, Alison H. Troth, Simon L. Tucker, Katherine M. Wallis, Mathew J. Walsh, Maie Williams, Rachel A. Winship, Ingrid M. Newell, Felicity Tudini, Emma Pearson, John V. Poplawski, Nicola K. Mar Fan, Helen G. James, Paul A. Spurdle, Amanda B. Waddell, Nicola Ward, Robyn L. The clinical utility and costs of whole-genome sequencing to detect cancer susceptibility variants—a multi-site prospective cohort study |
title | The clinical utility and costs of whole-genome sequencing to detect cancer susceptibility variants—a multi-site prospective cohort study |
title_full | The clinical utility and costs of whole-genome sequencing to detect cancer susceptibility variants—a multi-site prospective cohort study |
title_fullStr | The clinical utility and costs of whole-genome sequencing to detect cancer susceptibility variants—a multi-site prospective cohort study |
title_full_unstemmed | The clinical utility and costs of whole-genome sequencing to detect cancer susceptibility variants—a multi-site prospective cohort study |
title_short | The clinical utility and costs of whole-genome sequencing to detect cancer susceptibility variants—a multi-site prospective cohort study |
title_sort | clinical utility and costs of whole-genome sequencing to detect cancer susceptibility variants—a multi-site prospective cohort study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507925/ https://www.ncbi.nlm.nih.gov/pubmed/37723522 http://dx.doi.org/10.1186/s13073-023-01223-1 |
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