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Properties of non-coding mutation hotspots as urinary biomarkers for bladder cancer detection
Mutations at specific hotspots in non-coding regions of ADGRG6, PLEKHS1, WDR74, TBC1D12 and LEPROTL1 frequently occur in bladder cancer (BC). These mutations could function as biomarkers for the non-invasive detection of BC but this remains largely unexplored. Massively-parallel sequencing of non-co...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9852567/ https://www.ncbi.nlm.nih.gov/pubmed/36658180 http://dx.doi.org/10.1038/s41598-023-27675-4 |
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author | Baxter, L. Gordon, N. S. Ott, S. Wang, J. Patel, P. Goel, A. Piechocki, K. Silcock, L. Sale, C. Zeegers, M. P. Cheng, K. K. James, N. D. Bryan, R. T. Ward, D. G. |
author_facet | Baxter, L. Gordon, N. S. Ott, S. Wang, J. Patel, P. Goel, A. Piechocki, K. Silcock, L. Sale, C. Zeegers, M. P. Cheng, K. K. James, N. D. Bryan, R. T. Ward, D. G. |
author_sort | Baxter, L. |
collection | PubMed |
description | Mutations at specific hotspots in non-coding regions of ADGRG6, PLEKHS1, WDR74, TBC1D12 and LEPROTL1 frequently occur in bladder cancer (BC). These mutations could function as biomarkers for the non-invasive detection of BC but this remains largely unexplored. Massively-parallel sequencing of non-coding hotspots was applied to 884 urine cell pellet DNAs: 591 from haematuria clinic patients (165 BCs, 426 non-BCs) and 293 from non-muscle invasive BC surveillance patients (29 with recurrence). Urine samples from 142 non-BC haematuria clinic patients were used to optimise variant calling. Non-coding mutations are readily detectable in the urine of BC patients and undetectable, or present at much lower frequencies, in the absence of BC. The mutations can be used to detect incident BC with 66% sensitivity (95% CI 58–75) at 92% specificity (95% CI 88–95) and recurrent disease with 55% sensitivity (95% CI 36–74) at 85% specificity (95% CI 80–89%) using a 2% variant allele frequency threshold. In the NMIBC surveillance setting, the detection of non-coding mutations in urine in the absence of clinically detectable disease was associated with an increased relative risk of future recurrence (RR = 4.62 (95% CI 3.75–5.48)). As urinary biomarkers, non-coding hotspot mutations behave similarly to driver mutations in BC-associated genes and could be included in biomarker panels for BC detection. |
format | Online Article Text |
id | pubmed-9852567 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98525672023-01-21 Properties of non-coding mutation hotspots as urinary biomarkers for bladder cancer detection Baxter, L. Gordon, N. S. Ott, S. Wang, J. Patel, P. Goel, A. Piechocki, K. Silcock, L. Sale, C. Zeegers, M. P. Cheng, K. K. James, N. D. Bryan, R. T. Ward, D. G. Sci Rep Article Mutations at specific hotspots in non-coding regions of ADGRG6, PLEKHS1, WDR74, TBC1D12 and LEPROTL1 frequently occur in bladder cancer (BC). These mutations could function as biomarkers for the non-invasive detection of BC but this remains largely unexplored. Massively-parallel sequencing of non-coding hotspots was applied to 884 urine cell pellet DNAs: 591 from haematuria clinic patients (165 BCs, 426 non-BCs) and 293 from non-muscle invasive BC surveillance patients (29 with recurrence). Urine samples from 142 non-BC haematuria clinic patients were used to optimise variant calling. Non-coding mutations are readily detectable in the urine of BC patients and undetectable, or present at much lower frequencies, in the absence of BC. The mutations can be used to detect incident BC with 66% sensitivity (95% CI 58–75) at 92% specificity (95% CI 88–95) and recurrent disease with 55% sensitivity (95% CI 36–74) at 85% specificity (95% CI 80–89%) using a 2% variant allele frequency threshold. In the NMIBC surveillance setting, the detection of non-coding mutations in urine in the absence of clinically detectable disease was associated with an increased relative risk of future recurrence (RR = 4.62 (95% CI 3.75–5.48)). As urinary biomarkers, non-coding hotspot mutations behave similarly to driver mutations in BC-associated genes and could be included in biomarker panels for BC detection. Nature Publishing Group UK 2023-01-19 /pmc/articles/PMC9852567/ /pubmed/36658180 http://dx.doi.org/10.1038/s41598-023-27675-4 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/) . |
spellingShingle | Article Baxter, L. Gordon, N. S. Ott, S. Wang, J. Patel, P. Goel, A. Piechocki, K. Silcock, L. Sale, C. Zeegers, M. P. Cheng, K. K. James, N. D. Bryan, R. T. Ward, D. G. Properties of non-coding mutation hotspots as urinary biomarkers for bladder cancer detection |
title | Properties of non-coding mutation hotspots as urinary biomarkers for bladder cancer detection |
title_full | Properties of non-coding mutation hotspots as urinary biomarkers for bladder cancer detection |
title_fullStr | Properties of non-coding mutation hotspots as urinary biomarkers for bladder cancer detection |
title_full_unstemmed | Properties of non-coding mutation hotspots as urinary biomarkers for bladder cancer detection |
title_short | Properties of non-coding mutation hotspots as urinary biomarkers for bladder cancer detection |
title_sort | properties of non-coding mutation hotspots as urinary biomarkers for bladder cancer detection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9852567/ https://www.ncbi.nlm.nih.gov/pubmed/36658180 http://dx.doi.org/10.1038/s41598-023-27675-4 |
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