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Optical genome mapping identifies clinically relevant genomic rearrangements in prostate cancer biopsy sample

BACKGROUND: Prostate cancer (PCa) is characterized by complex genomic rearrangements such as the ETS oncogene family fusions, yet the clinical relevance is not well established. While paneled genetic tests of DNA repair genes are recommended in advanced PCa, conventional genomic or cytogenetic tools...

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Autores principales: Shim, Yeeun, Lee, Jongsoo, Seo, Jieun, Park, Cheol Keun, Shin, Saeam, Han, Hyunho, Lee, Seung-Tae, Choi, Jong Rak, Chung, Byung Ha, Choi, Young Deuk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9548106/
https://www.ncbi.nlm.nih.gov/pubmed/36209207
http://dx.doi.org/10.1186/s12935-022-02728-2
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author Shim, Yeeun
Lee, Jongsoo
Seo, Jieun
Park, Cheol Keun
Shin, Saeam
Han, Hyunho
Lee, Seung-Tae
Choi, Jong Rak
Chung, Byung Ha
Choi, Young Deuk
author_facet Shim, Yeeun
Lee, Jongsoo
Seo, Jieun
Park, Cheol Keun
Shin, Saeam
Han, Hyunho
Lee, Seung-Tae
Choi, Jong Rak
Chung, Byung Ha
Choi, Young Deuk
author_sort Shim, Yeeun
collection PubMed
description BACKGROUND: Prostate cancer (PCa) is characterized by complex genomic rearrangements such as the ETS oncogene family fusions, yet the clinical relevance is not well established. While paneled genetic tests of DNA repair genes are recommended in advanced PCa, conventional genomic or cytogenetic tools are not ideal for genome-wide screening of structural variations (SVs) such as balanced translocation due to cost and/or resolution issues. METHODS: In this study, we tested the feasibility of whole-genome optical genomic mapping (OGM), a newly developed platform for genome-wide SV analysis to detect complex genomic rearrangements in consecutive unselected PCa samples from MRI/US-fusion targeted biopsy. RESULTS: We tested ten samples, and nine (90%) passed quality check. Average mapping rate and coverage depth were 58.1 ± 23.7% and 157.3 ± 97.7×, respectively (mean ± SD). OGM detected copy number alterations such as chr6q13 loss and chr8q12-24 gain. Two adjacent tumor samples were distinguished by inter/intra-chromosomal translocations, revealing that they’re from the same ancestor. Furthermore, OGM detected large deletion of chr13q13.1 accompanied by inter-chromosomal translocation t(13;20)(q13.1;p13) occurring within BRCA2 gene, suggesting complete loss of function. CONCLUSION: In conclusion, clinically relevant genomic SVs were successfully detected in PCa samples by OGM. We suggest that OGM can complement panel sequencing of DNA repair genes BRCA1/2 or ATM in high-risk PCa. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-022-02728-2.
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spelling pubmed-95481062022-10-10 Optical genome mapping identifies clinically relevant genomic rearrangements in prostate cancer biopsy sample Shim, Yeeun Lee, Jongsoo Seo, Jieun Park, Cheol Keun Shin, Saeam Han, Hyunho Lee, Seung-Tae Choi, Jong Rak Chung, Byung Ha Choi, Young Deuk Cancer Cell Int Research BACKGROUND: Prostate cancer (PCa) is characterized by complex genomic rearrangements such as the ETS oncogene family fusions, yet the clinical relevance is not well established. While paneled genetic tests of DNA repair genes are recommended in advanced PCa, conventional genomic or cytogenetic tools are not ideal for genome-wide screening of structural variations (SVs) such as balanced translocation due to cost and/or resolution issues. METHODS: In this study, we tested the feasibility of whole-genome optical genomic mapping (OGM), a newly developed platform for genome-wide SV analysis to detect complex genomic rearrangements in consecutive unselected PCa samples from MRI/US-fusion targeted biopsy. RESULTS: We tested ten samples, and nine (90%) passed quality check. Average mapping rate and coverage depth were 58.1 ± 23.7% and 157.3 ± 97.7×, respectively (mean ± SD). OGM detected copy number alterations such as chr6q13 loss and chr8q12-24 gain. Two adjacent tumor samples were distinguished by inter/intra-chromosomal translocations, revealing that they’re from the same ancestor. Furthermore, OGM detected large deletion of chr13q13.1 accompanied by inter-chromosomal translocation t(13;20)(q13.1;p13) occurring within BRCA2 gene, suggesting complete loss of function. CONCLUSION: In conclusion, clinically relevant genomic SVs were successfully detected in PCa samples by OGM. We suggest that OGM can complement panel sequencing of DNA repair genes BRCA1/2 or ATM in high-risk PCa. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-022-02728-2. BioMed Central 2022-10-08 /pmc/articles/PMC9548106/ /pubmed/36209207 http://dx.doi.org/10.1186/s12935-022-02728-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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
Shim, Yeeun
Lee, Jongsoo
Seo, Jieun
Park, Cheol Keun
Shin, Saeam
Han, Hyunho
Lee, Seung-Tae
Choi, Jong Rak
Chung, Byung Ha
Choi, Young Deuk
Optical genome mapping identifies clinically relevant genomic rearrangements in prostate cancer biopsy sample
title Optical genome mapping identifies clinically relevant genomic rearrangements in prostate cancer biopsy sample
title_full Optical genome mapping identifies clinically relevant genomic rearrangements in prostate cancer biopsy sample
title_fullStr Optical genome mapping identifies clinically relevant genomic rearrangements in prostate cancer biopsy sample
title_full_unstemmed Optical genome mapping identifies clinically relevant genomic rearrangements in prostate cancer biopsy sample
title_short Optical genome mapping identifies clinically relevant genomic rearrangements in prostate cancer biopsy sample
title_sort optical genome mapping identifies clinically relevant genomic rearrangements in prostate cancer biopsy sample
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9548106/
https://www.ncbi.nlm.nih.gov/pubmed/36209207
http://dx.doi.org/10.1186/s12935-022-02728-2
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