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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...

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Autores principales: Xia, Yun, Huang, Chiang-Ching, Dittmar, Rachel, Du, Meijun, Wang, Yuan, Liu, Hongyan, Shenoy, Niraj, Wang, Liang, Kohli, Manish
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
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.
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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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