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MiRNA Profiles in Lymphoblastoid Cell Lines of Finnish Prostate Cancer Families

Heritable factors are evidently involved in prostate cancer (PrCa) carcinogenesis, but currently, genetic markers are not routinely used in screening or diagnostics of the disease. More precise information is needed for making treatment decisions to distinguish aggressive cases from indolent disease...

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Tác giả chính: Daniel, Fischer, Tiina, Wahlfors, Henna, Mattila
Ngôn ngữ:English
Năm xuất bản: Public Library of Science (PLoS) 2018
Chủ đề:
Medicine
Science
Truy cập Trực tuyến:http://lrc.quangbinhuni.edu.vn:8181/dspace/handle/DHQB_123456789/4060
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spelling oai:localhost:DHQB_123456789-40602018-10-22T08:43:42Z MiRNA Profiles in Lymphoblastoid Cell Lines of Finnish Prostate Cancer Families Daniel, Fischer Tiina, Wahlfors Henna, Mattila Medicine Science Heritable factors are evidently involved in prostate cancer (PrCa) carcinogenesis, but currently, genetic markers are not routinely used in screening or diagnostics of the disease. More precise information is needed for making treatment decisions to distinguish aggressive cases from indolent disease, for which heritable factors could be a useful tool. The genetic makeup of PrCa has only recently begun to be unravelled through large-scale genome-wide association studies (GWAS). The thus far identified Single Nucleotide Polymorphisms (SNPs) explain, however, only a fraction of familial clustering. Moreover, the known risk SNPs are not associated with the clinical outcome of the disease, such as aggressive or metastasised disease, and therefore cannot be used to predict the prognosis. Annotating the SNPs with deep clinical data together with miRNA expression profiles can improve the understanding of the underlying mechanisms of different phenotypes of prostate cancer.In this study microRNA (miRNA) profiles were studied as potential biomarkers to predict the disease outcome. The study subjects were from Finnish high risk prostate cancer families. To identify potential biomarkers we combined a novel non-parametrical test with an importance measure provided from a Random Forest classifier. This combination delivered a set of nine miRNAs that was able to separate cases from controls. The detected miRNA expression profiles could predict the development of the disease years before the actual PrCa diagnosis or detect the existence of other cancers in the studied individuals. Furthermore, using an expression Quantitative Trait Loci (eQTL) analysis, regulatory SNPs for miRNA miR-483-3p that were also directly associated with PrCa were found.Based on our findings, we suggest that blood-based miRNA expression profiling can be used in the diagnosis and maybe even prognosis of the disease. In the future, miRNA profiling could possibly be used in targeted screening, together with Prostate Specific Antigene (PSA) testing, to identify men with an elevated PrCa risk. 2018-09-11T01:59:13Z 2018-09-11T01:59:13Z 2015-05-28 1932-6203 (Online) http://lrc.quangbinhuni.edu.vn:8181/dspace/handle/DHQB_123456789/4060 en Public Library of Science (PLoS)
institution Trung tâm Học liệu Đại học Quảng Bình (Dspace)
collection Trung tâm Học liệu Đại học Quảng Bình (Dspace)
language English
topic Medicine
Science
spellingShingle Medicine
Science
Daniel, Fischer
Tiina, Wahlfors
Henna, Mattila
MiRNA Profiles in Lymphoblastoid Cell Lines of Finnish Prostate Cancer Families
description Heritable factors are evidently involved in prostate cancer (PrCa) carcinogenesis, but currently, genetic markers are not routinely used in screening or diagnostics of the disease. More precise information is needed for making treatment decisions to distinguish aggressive cases from indolent disease, for which heritable factors could be a useful tool. The genetic makeup of PrCa has only recently begun to be unravelled through large-scale genome-wide association studies (GWAS). The thus far identified Single Nucleotide Polymorphisms (SNPs) explain, however, only a fraction of familial clustering. Moreover, the known risk SNPs are not associated with the clinical outcome of the disease, such as aggressive or metastasised disease, and therefore cannot be used to predict the prognosis. Annotating the SNPs with deep clinical data together with miRNA expression profiles can improve the understanding of the underlying mechanisms of different phenotypes of prostate cancer.In this study microRNA (miRNA) profiles were studied as potential biomarkers to predict the disease outcome. The study subjects were from Finnish high risk prostate cancer families. To identify potential biomarkers we combined a novel non-parametrical test with an importance measure provided from a Random Forest classifier. This combination delivered a set of nine miRNAs that was able to separate cases from controls. The detected miRNA expression profiles could predict the development of the disease years before the actual PrCa diagnosis or detect the existence of other cancers in the studied individuals. Furthermore, using an expression Quantitative Trait Loci (eQTL) analysis, regulatory SNPs for miRNA miR-483-3p that were also directly associated with PrCa were found.Based on our findings, we suggest that blood-based miRNA expression profiling can be used in the diagnosis and maybe even prognosis of the disease. In the future, miRNA profiling could possibly be used in targeted screening, together with Prostate Specific Antigene (PSA) testing, to identify men with an elevated PrCa risk.
author Daniel, Fischer
Tiina, Wahlfors
Henna, Mattila
author_facet Daniel, Fischer
Tiina, Wahlfors
Henna, Mattila
author_sort Daniel, Fischer
title MiRNA Profiles in Lymphoblastoid Cell Lines of Finnish Prostate Cancer Families
title_short MiRNA Profiles in Lymphoblastoid Cell Lines of Finnish Prostate Cancer Families
title_full MiRNA Profiles in Lymphoblastoid Cell Lines of Finnish Prostate Cancer Families
title_fullStr MiRNA Profiles in Lymphoblastoid Cell Lines of Finnish Prostate Cancer Families
title_full_unstemmed MiRNA Profiles in Lymphoblastoid Cell Lines of Finnish Prostate Cancer Families
title_sort mirna profiles in lymphoblastoid cell lines of finnish prostate cancer families
publisher Public Library of Science (PLoS)
publishDate 2018
url http://lrc.quangbinhuni.edu.vn:8181/dspace/handle/DHQB_123456789/4060
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score 9,463379

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