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Precision Oncology of High-Grade Ovarian Cancer Defined through Targeted Sequencing

SIMPLE SUMMARY: Ovarian cancer is a rare and deadly gynaecologic cancer, with a relatively large hereditary component. Genomic analysis of tumour material can potentially provide information regarding therapy and identify hereditary carriers and their families. The aim of our prospective study was t...

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Autores principales: Wessman, Sandra, Fuentes, Beatriz Bohorquez, Törngren, Therese, Kvist, Anders, Kokaraki, Georgia, Menkens, Hanna, Hjerpe, Elisabet, Hugo, Ythalo, Petta, Tirzah Braz, Borg, Åke, Carlson, Joseph W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534266/
https://www.ncbi.nlm.nih.gov/pubmed/34680387
http://dx.doi.org/10.3390/cancers13205240
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author Wessman, Sandra
Fuentes, Beatriz Bohorquez
Törngren, Therese
Kvist, Anders
Kokaraki, Georgia
Menkens, Hanna
Hjerpe, Elisabet
Hugo, Ythalo
Petta, Tirzah Braz
Borg, Åke
Carlson, Joseph W.
author_facet Wessman, Sandra
Fuentes, Beatriz Bohorquez
Törngren, Therese
Kvist, Anders
Kokaraki, Georgia
Menkens, Hanna
Hjerpe, Elisabet
Hugo, Ythalo
Petta, Tirzah Braz
Borg, Åke
Carlson, Joseph W.
author_sort Wessman, Sandra
collection PubMed
description SIMPLE SUMMARY: Ovarian cancer is a rare and deadly gynaecologic cancer, with a relatively large hereditary component. Genomic analysis of tumour material can potentially provide information regarding therapy and identify hereditary carriers and their families. The aim of our prospective study was to apply genomic characterization to tumour material from women with ovarian cancer to identify women that might benefit from PARP inhibitor therapy, as well as to detect and triage women to genetic counselling. We used next generation sequencing using a targeted panel to prospectively analyse 274 tumours and identified 50 with a BRCA1/2 pathogenic variant. Twenty patients received olaparib based on these results, and 16 previously unknown hereditary carriers were identified. In addition, in a subset examined by an extended sequencing panel, actionable mutations were found in 84/88 tumours. This study demonstrates that personalized medicine approaches can be useful for women with ovarian cancer and can help with therapy selection and identification of at risk families. ABSTRACT: Background: We examined whether molecular characterization of high-grade epithelial ovarian cancer can inform the diagnosis and/or identify potential actionable targets. Methods: All of the consecutively sequenced high-grade ovarian tumours with consent between 2014 until 2019 were included. A total of 274 tumours underwent next generation sequencing using a targeted panel. Results: Patients with high-grade ovarian epithelial cancer were consented to prospective molecular characterization. Clinical information was extracted from their medical record. Tumour DNA was subjected to sequencing, and selected patients received PARP inhibitor therapy. Conclusions: Tumours from 274 women were sequenced, including high-grade serous carcinoma (n = 252), clear cell carcinoma (n = 4), carcinosarcoma (n = 9), endometrioid carcinoma (n = 3), undifferentiated carcinoma (n = 1), and mixed tumours (n = 5). Genomic profiling did not influence histologic diagnosis. Mutations were identified in TP53, BRCA1, BRCA2, as well as additional homologous recombination repair pathway genes BARD1, ATR, CHEK2, PALB2, RAD51D, RAD50, SLX4, FANCA, RAD51C, and RAD54L. In addition, mutations in PTEN and CDKN2A were identified. Several somatic mutations with implications for germline testing were identified, including RMI1, STK11, and CDH1. Germline testing identified 16 previously unknown BRCA1/2 carriers. Finally, 20 patients were treated with the PARP inhibitor olaparib based on the sequencing results.
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spelling pubmed-85342662021-10-23 Precision Oncology of High-Grade Ovarian Cancer Defined through Targeted Sequencing Wessman, Sandra Fuentes, Beatriz Bohorquez Törngren, Therese Kvist, Anders Kokaraki, Georgia Menkens, Hanna Hjerpe, Elisabet Hugo, Ythalo Petta, Tirzah Braz Borg, Åke Carlson, Joseph W. Cancers (Basel) Article SIMPLE SUMMARY: Ovarian cancer is a rare and deadly gynaecologic cancer, with a relatively large hereditary component. Genomic analysis of tumour material can potentially provide information regarding therapy and identify hereditary carriers and their families. The aim of our prospective study was to apply genomic characterization to tumour material from women with ovarian cancer to identify women that might benefit from PARP inhibitor therapy, as well as to detect and triage women to genetic counselling. We used next generation sequencing using a targeted panel to prospectively analyse 274 tumours and identified 50 with a BRCA1/2 pathogenic variant. Twenty patients received olaparib based on these results, and 16 previously unknown hereditary carriers were identified. In addition, in a subset examined by an extended sequencing panel, actionable mutations were found in 84/88 tumours. This study demonstrates that personalized medicine approaches can be useful for women with ovarian cancer and can help with therapy selection and identification of at risk families. ABSTRACT: Background: We examined whether molecular characterization of high-grade epithelial ovarian cancer can inform the diagnosis and/or identify potential actionable targets. Methods: All of the consecutively sequenced high-grade ovarian tumours with consent between 2014 until 2019 were included. A total of 274 tumours underwent next generation sequencing using a targeted panel. Results: Patients with high-grade ovarian epithelial cancer were consented to prospective molecular characterization. Clinical information was extracted from their medical record. Tumour DNA was subjected to sequencing, and selected patients received PARP inhibitor therapy. Conclusions: Tumours from 274 women were sequenced, including high-grade serous carcinoma (n = 252), clear cell carcinoma (n = 4), carcinosarcoma (n = 9), endometrioid carcinoma (n = 3), undifferentiated carcinoma (n = 1), and mixed tumours (n = 5). Genomic profiling did not influence histologic diagnosis. Mutations were identified in TP53, BRCA1, BRCA2, as well as additional homologous recombination repair pathway genes BARD1, ATR, CHEK2, PALB2, RAD51D, RAD50, SLX4, FANCA, RAD51C, and RAD54L. In addition, mutations in PTEN and CDKN2A were identified. Several somatic mutations with implications for germline testing were identified, including RMI1, STK11, and CDH1. Germline testing identified 16 previously unknown BRCA1/2 carriers. Finally, 20 patients were treated with the PARP inhibitor olaparib based on the sequencing results. MDPI 2021-10-19 /pmc/articles/PMC8534266/ /pubmed/34680387 http://dx.doi.org/10.3390/cancers13205240 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wessman, Sandra
Fuentes, Beatriz Bohorquez
Törngren, Therese
Kvist, Anders
Kokaraki, Georgia
Menkens, Hanna
Hjerpe, Elisabet
Hugo, Ythalo
Petta, Tirzah Braz
Borg, Åke
Carlson, Joseph W.
Precision Oncology of High-Grade Ovarian Cancer Defined through Targeted Sequencing
title Precision Oncology of High-Grade Ovarian Cancer Defined through Targeted Sequencing
title_full Precision Oncology of High-Grade Ovarian Cancer Defined through Targeted Sequencing
title_fullStr Precision Oncology of High-Grade Ovarian Cancer Defined through Targeted Sequencing
title_full_unstemmed Precision Oncology of High-Grade Ovarian Cancer Defined through Targeted Sequencing
title_short Precision Oncology of High-Grade Ovarian Cancer Defined through Targeted Sequencing
title_sort precision oncology of high-grade ovarian cancer defined through targeted sequencing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534266/
https://www.ncbi.nlm.nih.gov/pubmed/34680387
http://dx.doi.org/10.3390/cancers13205240
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