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Copy number variations in urine cell free DNA as biomarkers in advanced prostate cancer
Genetic profiling of urine cell free DNA (cfDNA) has not been evaluated in advanced prostate cancer. We performed whole genome sequencing of urine cfDNAs to identify tumor-associated copy number variations in urine before and after initiating androgen deprivation therapy in HSPC stage and docetaxel...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5094965/ https://www.ncbi.nlm.nih.gov/pubmed/27127882 http://dx.doi.org/10.18632/oncotarget.9027 |
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author | Xia, Yun Huang, Chiang-Ching Dittmar, Rachel Du, Meijun Wang, Yuan Liu, Hongyan Shenoy, Niraj Wang, Liang Kohli, Manish |
author_facet | Xia, Yun Huang, Chiang-Ching Dittmar, Rachel Du, Meijun Wang, Yuan Liu, Hongyan Shenoy, Niraj Wang, Liang Kohli, Manish |
author_sort | Xia, Yun |
collection | PubMed |
description | Genetic profiling of urine cell free DNA (cfDNA) has not been evaluated in advanced prostate cancer. We performed whole genome sequencing of urine cfDNAs to identify tumor-associated copy number variations in urine before and after initiating androgen deprivation therapy in HSPC stage and docetaxel chemotherapy in CRPC stage. A log2 ratio-based copy number analysis detected common genomic abnormalities in prostate cancer including AR amplification in 5/10 CRPC patients. Other abnormalities identified included TMPRSS2-ERG fusion, PTEN gene deletion, NOTCH1 locus amplification along with genomic amplifications at 8q24.3, 9q34.3, 11p15.5 and 14q11.2, and deletions at 4q35.2, 5q31.3, 7q36.3, 12q24.33, and 16p11.2. By comparing copy number between pre- and post-treatment, we found significant copy number changes in 34 genomic loci. To estimate the somatic tumor DNA fraction in urine cfDNAs, we developed a Urine Genomic Abnormality (UGA) score algorithm that summed the top ten most significant segments with copy number changes. The UGA scores correlated with tumor burden and the change in UGA score after stage-specific therapies reflected disease progression status and overall survival. The study demonstrates the potential clinical utility of urine cfDNAs in predicting treatment response and monitoring disease progression. |
format | Online Article Text |
id | pubmed-5094965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-50949652016-11-22 Copy number variations in urine cell free DNA as biomarkers in advanced prostate cancer Xia, Yun Huang, Chiang-Ching Dittmar, Rachel Du, Meijun Wang, Yuan Liu, Hongyan Shenoy, Niraj Wang, Liang Kohli, Manish Oncotarget Research Paper Genetic profiling of urine cell free DNA (cfDNA) has not been evaluated in advanced prostate cancer. We performed whole genome sequencing of urine cfDNAs to identify tumor-associated copy number variations in urine before and after initiating androgen deprivation therapy in HSPC stage and docetaxel chemotherapy in CRPC stage. A log2 ratio-based copy number analysis detected common genomic abnormalities in prostate cancer including AR amplification in 5/10 CRPC patients. Other abnormalities identified included TMPRSS2-ERG fusion, PTEN gene deletion, NOTCH1 locus amplification along with genomic amplifications at 8q24.3, 9q34.3, 11p15.5 and 14q11.2, and deletions at 4q35.2, 5q31.3, 7q36.3, 12q24.33, and 16p11.2. By comparing copy number between pre- and post-treatment, we found significant copy number changes in 34 genomic loci. To estimate the somatic tumor DNA fraction in urine cfDNAs, we developed a Urine Genomic Abnormality (UGA) score algorithm that summed the top ten most significant segments with copy number changes. The UGA scores correlated with tumor burden and the change in UGA score after stage-specific therapies reflected disease progression status and overall survival. The study demonstrates the potential clinical utility of urine cfDNAs in predicting treatment response and monitoring disease progression. Impact Journals LLC 2016-04-26 /pmc/articles/PMC5094965/ /pubmed/27127882 http://dx.doi.org/10.18632/oncotarget.9027 Text en Copyright: © 2016 Xia et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Xia, Yun Huang, Chiang-Ching Dittmar, Rachel Du, Meijun Wang, Yuan Liu, Hongyan Shenoy, Niraj Wang, Liang Kohli, Manish Copy number variations in urine cell free DNA as biomarkers in advanced prostate cancer |
title | Copy number variations in urine cell free DNA as biomarkers in advanced prostate cancer |
title_full | Copy number variations in urine cell free DNA as biomarkers in advanced prostate cancer |
title_fullStr | Copy number variations in urine cell free DNA as biomarkers in advanced prostate cancer |
title_full_unstemmed | Copy number variations in urine cell free DNA as biomarkers in advanced prostate cancer |
title_short | Copy number variations in urine cell free DNA as biomarkers in advanced prostate cancer |
title_sort | copy number variations in urine cell free dna as biomarkers in advanced prostate cancer |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5094965/ https://www.ncbi.nlm.nih.gov/pubmed/27127882 http://dx.doi.org/10.18632/oncotarget.9027 |
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