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Plasma genetic and genomic abnormalities predict treatment response and clinical outcome in advanced prostate cancer

Liquid biopsies, examinations of tumor components in body fluids, have shown promise for predicting clinical outcomes. To evaluate tumor-associated genomic and genetic variations in plasma cell-free DNA (cfDNA) and their associations with treatment response and overall survival, we applied whole gen...

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Autores principales: Xia, Shu, Kohli, Manish, Du, Meijun, Dittmar, Rachel L., Lee, Adam, Nandy, Debashis, Yuan, Tiezheng, Guo, Yongchen, Wang, Yuan, Tschannen, Michael R., Worthey, Elizabeth, Jacob, Howard, See, William, Kilari, Deepak, Wang, Xuexia, Hovey, Raymond L., Huang, Chiang-Ching, Wang, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4599278/
https://www.ncbi.nlm.nih.gov/pubmed/25915538
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author Xia, Shu
Kohli, Manish
Du, Meijun
Dittmar, Rachel L.
Lee, Adam
Nandy, Debashis
Yuan, Tiezheng
Guo, Yongchen
Wang, Yuan
Tschannen, Michael R.
Worthey, Elizabeth
Jacob, Howard
See, William
Kilari, Deepak
Wang, Xuexia
Hovey, Raymond L.
Huang, Chiang-Ching
Wang, Liang
author_facet Xia, Shu
Kohli, Manish
Du, Meijun
Dittmar, Rachel L.
Lee, Adam
Nandy, Debashis
Yuan, Tiezheng
Guo, Yongchen
Wang, Yuan
Tschannen, Michael R.
Worthey, Elizabeth
Jacob, Howard
See, William
Kilari, Deepak
Wang, Xuexia
Hovey, Raymond L.
Huang, Chiang-Ching
Wang, Liang
author_sort Xia, Shu
collection PubMed
description Liquid biopsies, examinations of tumor components in body fluids, have shown promise for predicting clinical outcomes. To evaluate tumor-associated genomic and genetic variations in plasma cell-free DNA (cfDNA) and their associations with treatment response and overall survival, we applied whole genome and targeted sequencing to examine the plasma cfDNAs derived from 20 patients with advanced prostate cancer. Sequencing-based genomic abnormality analysis revealed locus-specific gains or losses that were common in prostate cancer, such as 8q gains, AR amplifications, PTEN losses and TMPRSS2-ERG fusions. To estimate tumor burden in cfDNA, we developed a Plasma Genomic Abnormality (PGA) score by summing the most significant copy number variations. Cox regression analysis showed that PGA scores were significantly associated with overall survival (p < 0.04). After androgen deprivation therapy or chemotherapy, targeted sequencing showed significant mutational profile changes in genes involved in androgen biosynthesis, AR activation, DNA repair, and chemotherapy resistance. These changes may reflect the dynamic evolution of heterozygous tumor populations in response to these treatments. These results strongly support the feasibility of using non-invasive liquid biopsies as potential tools to study biological mechanisms underlying therapy-specific resistance and to predict disease progression in advanced prostate cancer.
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spelling pubmed-45992782015-10-26 Plasma genetic and genomic abnormalities predict treatment response and clinical outcome in advanced prostate cancer Xia, Shu Kohli, Manish Du, Meijun Dittmar, Rachel L. Lee, Adam Nandy, Debashis Yuan, Tiezheng Guo, Yongchen Wang, Yuan Tschannen, Michael R. Worthey, Elizabeth Jacob, Howard See, William Kilari, Deepak Wang, Xuexia Hovey, Raymond L. Huang, Chiang-Ching Wang, Liang Oncotarget Research Paper Liquid biopsies, examinations of tumor components in body fluids, have shown promise for predicting clinical outcomes. To evaluate tumor-associated genomic and genetic variations in plasma cell-free DNA (cfDNA) and their associations with treatment response and overall survival, we applied whole genome and targeted sequencing to examine the plasma cfDNAs derived from 20 patients with advanced prostate cancer. Sequencing-based genomic abnormality analysis revealed locus-specific gains or losses that were common in prostate cancer, such as 8q gains, AR amplifications, PTEN losses and TMPRSS2-ERG fusions. To estimate tumor burden in cfDNA, we developed a Plasma Genomic Abnormality (PGA) score by summing the most significant copy number variations. Cox regression analysis showed that PGA scores were significantly associated with overall survival (p < 0.04). After androgen deprivation therapy or chemotherapy, targeted sequencing showed significant mutational profile changes in genes involved in androgen biosynthesis, AR activation, DNA repair, and chemotherapy resistance. These changes may reflect the dynamic evolution of heterozygous tumor populations in response to these treatments. These results strongly support the feasibility of using non-invasive liquid biopsies as potential tools to study biological mechanisms underlying therapy-specific resistance and to predict disease progression in advanced prostate cancer. Impact Journals LLC 2015-04-15 /pmc/articles/PMC4599278/ /pubmed/25915538 Text en Copyright: © 2015 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, Shu
Kohli, Manish
Du, Meijun
Dittmar, Rachel L.
Lee, Adam
Nandy, Debashis
Yuan, Tiezheng
Guo, Yongchen
Wang, Yuan
Tschannen, Michael R.
Worthey, Elizabeth
Jacob, Howard
See, William
Kilari, Deepak
Wang, Xuexia
Hovey, Raymond L.
Huang, Chiang-Ching
Wang, Liang
Plasma genetic and genomic abnormalities predict treatment response and clinical outcome in advanced prostate cancer
title Plasma genetic and genomic abnormalities predict treatment response and clinical outcome in advanced prostate cancer
title_full Plasma genetic and genomic abnormalities predict treatment response and clinical outcome in advanced prostate cancer
title_fullStr Plasma genetic and genomic abnormalities predict treatment response and clinical outcome in advanced prostate cancer
title_full_unstemmed Plasma genetic and genomic abnormalities predict treatment response and clinical outcome in advanced prostate cancer
title_short Plasma genetic and genomic abnormalities predict treatment response and clinical outcome in advanced prostate cancer
title_sort plasma genetic and genomic abnormalities predict treatment response and clinical outcome in advanced prostate cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4599278/
https://www.ncbi.nlm.nih.gov/pubmed/25915538
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