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Integrated RNA and metabolite profiling of urine liquid biopsies for prostate cancer biomarker discovery
Sensitive and specific diagnostic and prognostic biomarkers for prostate cancer (PCa) are urgently needed. Urine samples are a non-invasive means to obtain abundant and readily accessible “liquid biopsies”. Herein we used urine liquid biopsies to identify and characterize a novel group of urine-enri...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7048821/ https://www.ncbi.nlm.nih.gov/pubmed/32111915 http://dx.doi.org/10.1038/s41598-020-60616-z |
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author | Lee, Bongyong Mahmud, Iqbal Marchica, John Dereziński, Paweł Qi, Feng Wang, Fubo Joshi, Piyush Valerio, Felipe Rivera, Inoel Patel, Vipul Pavlovich, Christian P. Garrett, Timothy. J. Schroth, Gary P. Sun, Yinghao Perera, Ranjan J. |
author_facet | Lee, Bongyong Mahmud, Iqbal Marchica, John Dereziński, Paweł Qi, Feng Wang, Fubo Joshi, Piyush Valerio, Felipe Rivera, Inoel Patel, Vipul Pavlovich, Christian P. Garrett, Timothy. J. Schroth, Gary P. Sun, Yinghao Perera, Ranjan J. |
author_sort | Lee, Bongyong |
collection | PubMed |
description | Sensitive and specific diagnostic and prognostic biomarkers for prostate cancer (PCa) are urgently needed. Urine samples are a non-invasive means to obtain abundant and readily accessible “liquid biopsies”. Herein we used urine liquid biopsies to identify and characterize a novel group of urine-enriched RNAs and metabolites in patients with PCa and normal individuals with or without benign prostatic disease. Differentially expressed RNAs were identified in urine samples by deep sequencing and metabolites in urine were measured by mass spectrometry. mRNA and metabolite profiles were distinct in patients with benign and malignant disease. Integrated analysis of urinary gene expression and metabolite signatures unveiled an aberrant glutamate metabolism and tricarboxylic acid (TCA) cycle node in prostate cancer-derived cells. Functional validation supported a role for glutamate metabolism and glutamate oxaloacetate transaminase 1 (GOT1)-dependent redox balance in PCa, which could be exploited for novel biomarkers and therapies. In this study, we discovered cancer-specific changes in urinary RNAs and metabolites, paving the way for the development of sensitive and specific urinary PCa diagnostic biomarkers either alone or in combination. Our methodology was based on single void urine samples (i.e., without prostatic massage). The integrated analysis of metabolomic and transcriptomic data from these liquid biopsies revealed a glutamate metabolism and tricarboxylic acid cycle node that was specific to prostate-derived cancer cells and cancer-specific metabolic changes in urine. |
format | Online Article Text |
id | pubmed-7048821 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70488212020-03-06 Integrated RNA and metabolite profiling of urine liquid biopsies for prostate cancer biomarker discovery Lee, Bongyong Mahmud, Iqbal Marchica, John Dereziński, Paweł Qi, Feng Wang, Fubo Joshi, Piyush Valerio, Felipe Rivera, Inoel Patel, Vipul Pavlovich, Christian P. Garrett, Timothy. J. Schroth, Gary P. Sun, Yinghao Perera, Ranjan J. Sci Rep Article Sensitive and specific diagnostic and prognostic biomarkers for prostate cancer (PCa) are urgently needed. Urine samples are a non-invasive means to obtain abundant and readily accessible “liquid biopsies”. Herein we used urine liquid biopsies to identify and characterize a novel group of urine-enriched RNAs and metabolites in patients with PCa and normal individuals with or without benign prostatic disease. Differentially expressed RNAs were identified in urine samples by deep sequencing and metabolites in urine were measured by mass spectrometry. mRNA and metabolite profiles were distinct in patients with benign and malignant disease. Integrated analysis of urinary gene expression and metabolite signatures unveiled an aberrant glutamate metabolism and tricarboxylic acid (TCA) cycle node in prostate cancer-derived cells. Functional validation supported a role for glutamate metabolism and glutamate oxaloacetate transaminase 1 (GOT1)-dependent redox balance in PCa, which could be exploited for novel biomarkers and therapies. In this study, we discovered cancer-specific changes in urinary RNAs and metabolites, paving the way for the development of sensitive and specific urinary PCa diagnostic biomarkers either alone or in combination. Our methodology was based on single void urine samples (i.e., without prostatic massage). The integrated analysis of metabolomic and transcriptomic data from these liquid biopsies revealed a glutamate metabolism and tricarboxylic acid cycle node that was specific to prostate-derived cancer cells and cancer-specific metabolic changes in urine. Nature Publishing Group UK 2020-02-28 /pmc/articles/PMC7048821/ /pubmed/32111915 http://dx.doi.org/10.1038/s41598-020-60616-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Lee, Bongyong Mahmud, Iqbal Marchica, John Dereziński, Paweł Qi, Feng Wang, Fubo Joshi, Piyush Valerio, Felipe Rivera, Inoel Patel, Vipul Pavlovich, Christian P. Garrett, Timothy. J. Schroth, Gary P. Sun, Yinghao Perera, Ranjan J. Integrated RNA and metabolite profiling of urine liquid biopsies for prostate cancer biomarker discovery |
title | Integrated RNA and metabolite profiling of urine liquid biopsies for prostate cancer biomarker discovery |
title_full | Integrated RNA and metabolite profiling of urine liquid biopsies for prostate cancer biomarker discovery |
title_fullStr | Integrated RNA and metabolite profiling of urine liquid biopsies for prostate cancer biomarker discovery |
title_full_unstemmed | Integrated RNA and metabolite profiling of urine liquid biopsies for prostate cancer biomarker discovery |
title_short | Integrated RNA and metabolite profiling of urine liquid biopsies for prostate cancer biomarker discovery |
title_sort | integrated rna and metabolite profiling of urine liquid biopsies for prostate cancer biomarker discovery |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7048821/ https://www.ncbi.nlm.nih.gov/pubmed/32111915 http://dx.doi.org/10.1038/s41598-020-60616-z |
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