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The Quandary of DNA-Based Treatment Assessment in De Novo Metastatic Prostate Cancer in the Era of Precision Oncology

Guidelines for genetic testing have been established for multiple tumor types, frequently indicating the most confident molecularly targeted treatment options. However, considering the often-complex presentation of individual cancer patients, in addition to the combinatorial complexity and inherent...

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Autores principales: Nakken, Sigve, Lilleby, Wolfgang, Switlyk, Marta D., Knudsen, Karen E., Lilleby, Oscar, Zhao, Sen, Kaveh, Fatemeh, Ekstrøm, Per O., Urbanucci, Alfonso, Hovig, Eivind
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8143497/
https://www.ncbi.nlm.nih.gov/pubmed/33922147
http://dx.doi.org/10.3390/jpm11050330
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author Nakken, Sigve
Lilleby, Wolfgang
Switlyk, Marta D.
Knudsen, Karen E.
Lilleby, Oscar
Zhao, Sen
Kaveh, Fatemeh
Ekstrøm, Per O.
Urbanucci, Alfonso
Hovig, Eivind
author_facet Nakken, Sigve
Lilleby, Wolfgang
Switlyk, Marta D.
Knudsen, Karen E.
Lilleby, Oscar
Zhao, Sen
Kaveh, Fatemeh
Ekstrøm, Per O.
Urbanucci, Alfonso
Hovig, Eivind
author_sort Nakken, Sigve
collection PubMed
description Guidelines for genetic testing have been established for multiple tumor types, frequently indicating the most confident molecularly targeted treatment options. However, considering the often-complex presentation of individual cancer patients, in addition to the combinatorial complexity and inherent uncertainties of molecular findings, deriving optimal treatment strategies frequently becomes very challenging. Here, we report a comprehensive analysis of a 68-year-old male with metastatic prostate cancer, encompassing pathology and MRI findings, transcriptomic results, and key genomics findings from whole-exome sequencing, both somatic aberrations and germline variants. We identify multiple somatic aberrations that are known to be enriched in prostate cancer, including a deletion of PTEN and a fusion transcript involving BRCA2. The gene expression patterns in the tumor biopsy were also strikingly similar to prostate tumor samples from TCGA. Furthermore, we detected multiple lines of evidence for homologous recombination repair deficiency (HRD), including a dominant contribution by mutational signature SBS3, which is specifically attributed to HRD. On the basis of the genomic and transcriptomic findings, and in light of the clinical case presentation, we discussed the personalized treatment options that exist for this patient and the various challenges that one faces in the process of translating high-throughput sequencing data towards treatment regimens.
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spelling pubmed-81434972021-05-25 The Quandary of DNA-Based Treatment Assessment in De Novo Metastatic Prostate Cancer in the Era of Precision Oncology Nakken, Sigve Lilleby, Wolfgang Switlyk, Marta D. Knudsen, Karen E. Lilleby, Oscar Zhao, Sen Kaveh, Fatemeh Ekstrøm, Per O. Urbanucci, Alfonso Hovig, Eivind J Pers Med Case Report Guidelines for genetic testing have been established for multiple tumor types, frequently indicating the most confident molecularly targeted treatment options. However, considering the often-complex presentation of individual cancer patients, in addition to the combinatorial complexity and inherent uncertainties of molecular findings, deriving optimal treatment strategies frequently becomes very challenging. Here, we report a comprehensive analysis of a 68-year-old male with metastatic prostate cancer, encompassing pathology and MRI findings, transcriptomic results, and key genomics findings from whole-exome sequencing, both somatic aberrations and germline variants. We identify multiple somatic aberrations that are known to be enriched in prostate cancer, including a deletion of PTEN and a fusion transcript involving BRCA2. The gene expression patterns in the tumor biopsy were also strikingly similar to prostate tumor samples from TCGA. Furthermore, we detected multiple lines of evidence for homologous recombination repair deficiency (HRD), including a dominant contribution by mutational signature SBS3, which is specifically attributed to HRD. On the basis of the genomic and transcriptomic findings, and in light of the clinical case presentation, we discussed the personalized treatment options that exist for this patient and the various challenges that one faces in the process of translating high-throughput sequencing data towards treatment regimens. MDPI 2021-04-22 /pmc/articles/PMC8143497/ /pubmed/33922147 http://dx.doi.org/10.3390/jpm11050330 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 Case Report
Nakken, Sigve
Lilleby, Wolfgang
Switlyk, Marta D.
Knudsen, Karen E.
Lilleby, Oscar
Zhao, Sen
Kaveh, Fatemeh
Ekstrøm, Per O.
Urbanucci, Alfonso
Hovig, Eivind
The Quandary of DNA-Based Treatment Assessment in De Novo Metastatic Prostate Cancer in the Era of Precision Oncology
title The Quandary of DNA-Based Treatment Assessment in De Novo Metastatic Prostate Cancer in the Era of Precision Oncology
title_full The Quandary of DNA-Based Treatment Assessment in De Novo Metastatic Prostate Cancer in the Era of Precision Oncology
title_fullStr The Quandary of DNA-Based Treatment Assessment in De Novo Metastatic Prostate Cancer in the Era of Precision Oncology
title_full_unstemmed The Quandary of DNA-Based Treatment Assessment in De Novo Metastatic Prostate Cancer in the Era of Precision Oncology
title_short The Quandary of DNA-Based Treatment Assessment in De Novo Metastatic Prostate Cancer in the Era of Precision Oncology
title_sort quandary of dna-based treatment assessment in de novo metastatic prostate cancer in the era of precision oncology
topic Case Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8143497/
https://www.ncbi.nlm.nih.gov/pubmed/33922147
http://dx.doi.org/10.3390/jpm11050330
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