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Assessing Genetic Variants in Matched Biocompartments From Patients With Serous Ovarian Cancer
The clinical use of molecular tumor profiling (MTP) is expanding and there is an increasing use of MTP data to manage patient care. At the University of Colorado, 18 patients were diagnosed with primary serous ovarian cancer between 9/2015 and 6/2019 and consented for banking and analysis of tumor,...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8246573/ https://www.ncbi.nlm.nih.gov/pubmed/34169762 http://dx.doi.org/10.1177/15330338211027917 |
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author | Sanders, Brooke E. Ku, Lisa Walker, Paul Bitler, Benjamin G. |
author_facet | Sanders, Brooke E. Ku, Lisa Walker, Paul Bitler, Benjamin G. |
author_sort | Sanders, Brooke E. |
collection | PubMed |
description | The clinical use of molecular tumor profiling (MTP) is expanding and there is an increasing use of MTP data to manage patient care. At the University of Colorado, 18 patients were diagnosed with primary serous ovarian cancer between 9/2015 and 6/2019 and consented for banking and analysis of tumor, ascites and plasma. All 18 patients had tumor and plasma samples that were sent for MTP, and 13 of 18 patients additionally had ascites collected and sent for MTP. 50-gene panel testing and BRCA testing were performed on primary tumor. BRCA genetic variants were more likely to be identified in plasma as compared to ascites or tumor, though not statistically significant (P = 0.17). Co-occurring genetic variants between plasma and ascites were less common in comparison to co-occurring variants between tumor and plasma or tumor and ascites, though not statistically significant (P = 0.68). Variants in KDR (VEGFR2) and TP53 were most likely to be conserved across all 3 biocompartments. Mutant allele frequencies (MAF) of individual genetic variants varied across biocompartments, though tended to be highest in the tumor, followed by ascites. |
format | Online Article Text |
id | pubmed-8246573 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-82465732021-07-13 Assessing Genetic Variants in Matched Biocompartments From Patients With Serous Ovarian Cancer Sanders, Brooke E. Ku, Lisa Walker, Paul Bitler, Benjamin G. Technol Cancer Res Treat Original Article The clinical use of molecular tumor profiling (MTP) is expanding and there is an increasing use of MTP data to manage patient care. At the University of Colorado, 18 patients were diagnosed with primary serous ovarian cancer between 9/2015 and 6/2019 and consented for banking and analysis of tumor, ascites and plasma. All 18 patients had tumor and plasma samples that were sent for MTP, and 13 of 18 patients additionally had ascites collected and sent for MTP. 50-gene panel testing and BRCA testing were performed on primary tumor. BRCA genetic variants were more likely to be identified in plasma as compared to ascites or tumor, though not statistically significant (P = 0.17). Co-occurring genetic variants between plasma and ascites were less common in comparison to co-occurring variants between tumor and plasma or tumor and ascites, though not statistically significant (P = 0.68). Variants in KDR (VEGFR2) and TP53 were most likely to be conserved across all 3 biocompartments. Mutant allele frequencies (MAF) of individual genetic variants varied across biocompartments, though tended to be highest in the tumor, followed by ascites. SAGE Publications 2021-06-25 /pmc/articles/PMC8246573/ /pubmed/34169762 http://dx.doi.org/10.1177/15330338211027917 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Article Sanders, Brooke E. Ku, Lisa Walker, Paul Bitler, Benjamin G. Assessing Genetic Variants in Matched Biocompartments From Patients With Serous Ovarian Cancer |
title | Assessing Genetic Variants in Matched Biocompartments From Patients With Serous Ovarian Cancer |
title_full | Assessing Genetic Variants in Matched Biocompartments From Patients With Serous Ovarian Cancer |
title_fullStr | Assessing Genetic Variants in Matched Biocompartments From Patients With Serous Ovarian Cancer |
title_full_unstemmed | Assessing Genetic Variants in Matched Biocompartments From Patients With Serous Ovarian Cancer |
title_short | Assessing Genetic Variants in Matched Biocompartments From Patients With Serous Ovarian Cancer |
title_sort | assessing genetic variants in matched biocompartments from patients with serous ovarian cancer |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8246573/ https://www.ncbi.nlm.nih.gov/pubmed/34169762 http://dx.doi.org/10.1177/15330338211027917 |
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