MicroRNAs as Biomarkers for Diagnosis, Prognosis and Theranostics in Prostate Cancer

Prostate cancer (PC) includes several phenotypes, from indolent to highly aggressive cancer. Actual diagnostic and prognostic tools have several limitations, and there is a need for new biomarkers to stratify patients and assign them optimal therapies by taking into account potential genetic and epi...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of molecular sciences 2016-03, Vol.17 (3), p.421-421
Hauptverfasser: Bertoli, Gloria, Cava, Claudia, Castiglioni, Isabella
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 421
container_issue 3
container_start_page 421
container_title International journal of molecular sciences
container_volume 17
creator Bertoli, Gloria
Cava, Claudia
Castiglioni, Isabella
description Prostate cancer (PC) includes several phenotypes, from indolent to highly aggressive cancer. Actual diagnostic and prognostic tools have several limitations, and there is a need for new biomarkers to stratify patients and assign them optimal therapies by taking into account potential genetic and epigenetic differences. MicroRNAs (miRNAs) are small sequences of non-coding RNA regulating specific genes involved in the onset and development of PC. Stable miRNAs have been found in biofluids, such as serum and plasma; thus, the measurement of PC-associated miRNAs is emerging as a non-invasive tool for PC detection and monitoring. In this study, we conduct an in-depth literature review focusing on miRNAs that may contribute to the diagnosis and prognosis of PC. The role of miRNAs as a potential theranostic tool in PC is discussed. Using a meta-analysis approach, we found a group of 29 miRNAs with diagnostic properties and a group of seven miRNAs with prognostic properties, which were found already expressed in both biofluids and PC tissues. We tested the two miRNA groups on The Cancer Genome Atlas dataset of PC tissue samples with a machine-learning approach. Our results suggest that these 29 miRNAs should be considered as potential panel of biomarkers for the diagnosis of PC, both as in vivo non-invasive test and ex vivo confirmation test.
doi_str_mv 10.3390/ijms17030421
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4813272</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1776087695</sourcerecordid><originalsourceid>FETCH-LOGICAL-c483t-4fd4c5c60ec5c827c831ca137be58c36815810370f93d70a37b37900bcfae9423</originalsourceid><addsrcrecordid>eNqFkc1PAjEQxRujUURvnk2PHkCnne62ezFB_EzwIwbPTSldLcIW28XE_94lKMGTl5lp3i8vM32EHDE4RSzgzE9miUlAEJxtkRYTnHcBcrm9Me-R_ZQmABx5VuySPS6BMaZEiwzvvY3h-aGXqEn0woeZie8uJlqGSC-9ea1C8qlDn2JYjdRUYzp8c9E0z9rbRH21VFNtakf7prIuHpCd0kyTO_zpbfJyfTXs33YHjzd3_d6ga4XCuivKsbCZzcE1VXFpFTJrGMqRy5TFXLFMMUAJZYFjCaYRUBYAI1saVwiObXK-8p0vRjM3tq6qo5nqefTNFV86GK__KpV_06_hUwvFkMulwcmPQQwfC5dqPfPJuunUVC4skmYKJQIKVfyPSpmDknmRNWhnhTY_m1J05XojBnqZmd7MrMGPN69Yw78h4TfM25KD</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1776087695</pqid></control><display><type>article</type><title>MicroRNAs as Biomarkers for Diagnosis, Prognosis and Theranostics in Prostate Cancer</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>MEDLINE</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><creator>Bertoli, Gloria ; Cava, Claudia ; Castiglioni, Isabella</creator><creatorcontrib>Bertoli, Gloria ; Cava, Claudia ; Castiglioni, Isabella</creatorcontrib><description>Prostate cancer (PC) includes several phenotypes, from indolent to highly aggressive cancer. Actual diagnostic and prognostic tools have several limitations, and there is a need for new biomarkers to stratify patients and assign them optimal therapies by taking into account potential genetic and epigenetic differences. MicroRNAs (miRNAs) are small sequences of non-coding RNA regulating specific genes involved in the onset and development of PC. Stable miRNAs have been found in biofluids, such as serum and plasma; thus, the measurement of PC-associated miRNAs is emerging as a non-invasive tool for PC detection and monitoring. In this study, we conduct an in-depth literature review focusing on miRNAs that may contribute to the diagnosis and prognosis of PC. The role of miRNAs as a potential theranostic tool in PC is discussed. Using a meta-analysis approach, we found a group of 29 miRNAs with diagnostic properties and a group of seven miRNAs with prognostic properties, which were found already expressed in both biofluids and PC tissues. We tested the two miRNA groups on The Cancer Genome Atlas dataset of PC tissue samples with a machine-learning approach. Our results suggest that these 29 miRNAs should be considered as potential panel of biomarkers for the diagnosis of PC, both as in vivo non-invasive test and ex vivo confirmation test.</description><identifier>ISSN: 1422-0067</identifier><identifier>EISSN: 1422-0067</identifier><identifier>DOI: 10.3390/ijms17030421</identifier><identifier>PMID: 27011184</identifier><language>eng</language><publisher>Switzerland: MDPI</publisher><subject>Animals ; Biomarkers, Tumor - blood ; Biomarkers, Tumor - genetics ; Biomarkers, Tumor - metabolism ; Humans ; Male ; MicroRNAs - blood ; MicroRNAs - genetics ; MicroRNAs - metabolism ; Prostatic Neoplasms - diagnosis ; Prostatic Neoplasms - therapy ; Review ; RNAi Therapeutics - methods</subject><ispartof>International journal of molecular sciences, 2016-03, Vol.17 (3), p.421-421</ispartof><rights>2016 by the authors; licensee MDPI, Basel, Switzerland. 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c483t-4fd4c5c60ec5c827c831ca137be58c36815810370f93d70a37b37900bcfae9423</citedby><cites>FETCH-LOGICAL-c483t-4fd4c5c60ec5c827c831ca137be58c36815810370f93d70a37b37900bcfae9423</cites><orcidid>0000-0002-5540-4104 ; 0000-0002-5901-4269</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4813272/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4813272/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27011184$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bertoli, Gloria</creatorcontrib><creatorcontrib>Cava, Claudia</creatorcontrib><creatorcontrib>Castiglioni, Isabella</creatorcontrib><title>MicroRNAs as Biomarkers for Diagnosis, Prognosis and Theranostics in Prostate Cancer</title><title>International journal of molecular sciences</title><addtitle>Int J Mol Sci</addtitle><description>Prostate cancer (PC) includes several phenotypes, from indolent to highly aggressive cancer. Actual diagnostic and prognostic tools have several limitations, and there is a need for new biomarkers to stratify patients and assign them optimal therapies by taking into account potential genetic and epigenetic differences. MicroRNAs (miRNAs) are small sequences of non-coding RNA regulating specific genes involved in the onset and development of PC. Stable miRNAs have been found in biofluids, such as serum and plasma; thus, the measurement of PC-associated miRNAs is emerging as a non-invasive tool for PC detection and monitoring. In this study, we conduct an in-depth literature review focusing on miRNAs that may contribute to the diagnosis and prognosis of PC. The role of miRNAs as a potential theranostic tool in PC is discussed. Using a meta-analysis approach, we found a group of 29 miRNAs with diagnostic properties and a group of seven miRNAs with prognostic properties, which were found already expressed in both biofluids and PC tissues. We tested the two miRNA groups on The Cancer Genome Atlas dataset of PC tissue samples with a machine-learning approach. Our results suggest that these 29 miRNAs should be considered as potential panel of biomarkers for the diagnosis of PC, both as in vivo non-invasive test and ex vivo confirmation test.</description><subject>Animals</subject><subject>Biomarkers, Tumor - blood</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Biomarkers, Tumor - metabolism</subject><subject>Humans</subject><subject>Male</subject><subject>MicroRNAs - blood</subject><subject>MicroRNAs - genetics</subject><subject>MicroRNAs - metabolism</subject><subject>Prostatic Neoplasms - diagnosis</subject><subject>Prostatic Neoplasms - therapy</subject><subject>Review</subject><subject>RNAi Therapeutics - methods</subject><issn>1422-0067</issn><issn>1422-0067</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkc1PAjEQxRujUURvnk2PHkCnne62ezFB_EzwIwbPTSldLcIW28XE_94lKMGTl5lp3i8vM32EHDE4RSzgzE9miUlAEJxtkRYTnHcBcrm9Me-R_ZQmABx5VuySPS6BMaZEiwzvvY3h-aGXqEn0woeZie8uJlqGSC-9ea1C8qlDn2JYjdRUYzp8c9E0z9rbRH21VFNtakf7prIuHpCd0kyTO_zpbfJyfTXs33YHjzd3_d6ga4XCuivKsbCZzcE1VXFpFTJrGMqRy5TFXLFMMUAJZYFjCaYRUBYAI1saVwiObXK-8p0vRjM3tq6qo5nqefTNFV86GK__KpV_06_hUwvFkMulwcmPQQwfC5dqPfPJuunUVC4skmYKJQIKVfyPSpmDknmRNWhnhTY_m1J05XojBnqZmd7MrMGPN69Yw78h4TfM25KD</recordid><startdate>20160322</startdate><enddate>20160322</enddate><creator>Bertoli, Gloria</creator><creator>Cava, Claudia</creator><creator>Castiglioni, Isabella</creator><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7TK</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-5540-4104</orcidid><orcidid>https://orcid.org/0000-0002-5901-4269</orcidid></search><sort><creationdate>20160322</creationdate><title>MicroRNAs as Biomarkers for Diagnosis, Prognosis and Theranostics in Prostate Cancer</title><author>Bertoli, Gloria ; Cava, Claudia ; Castiglioni, Isabella</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c483t-4fd4c5c60ec5c827c831ca137be58c36815810370f93d70a37b37900bcfae9423</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Animals</topic><topic>Biomarkers, Tumor - blood</topic><topic>Biomarkers, Tumor - genetics</topic><topic>Biomarkers, Tumor - metabolism</topic><topic>Humans</topic><topic>Male</topic><topic>MicroRNAs - blood</topic><topic>MicroRNAs - genetics</topic><topic>MicroRNAs - metabolism</topic><topic>Prostatic Neoplasms - diagnosis</topic><topic>Prostatic Neoplasms - therapy</topic><topic>Review</topic><topic>RNAi Therapeutics - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bertoli, Gloria</creatorcontrib><creatorcontrib>Cava, Claudia</creatorcontrib><creatorcontrib>Castiglioni, Isabella</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Neurosciences Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of molecular sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bertoli, Gloria</au><au>Cava, Claudia</au><au>Castiglioni, Isabella</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MicroRNAs as Biomarkers for Diagnosis, Prognosis and Theranostics in Prostate Cancer</atitle><jtitle>International journal of molecular sciences</jtitle><addtitle>Int J Mol Sci</addtitle><date>2016-03-22</date><risdate>2016</risdate><volume>17</volume><issue>3</issue><spage>421</spage><epage>421</epage><pages>421-421</pages><issn>1422-0067</issn><eissn>1422-0067</eissn><abstract>Prostate cancer (PC) includes several phenotypes, from indolent to highly aggressive cancer. Actual diagnostic and prognostic tools have several limitations, and there is a need for new biomarkers to stratify patients and assign them optimal therapies by taking into account potential genetic and epigenetic differences. MicroRNAs (miRNAs) are small sequences of non-coding RNA regulating specific genes involved in the onset and development of PC. Stable miRNAs have been found in biofluids, such as serum and plasma; thus, the measurement of PC-associated miRNAs is emerging as a non-invasive tool for PC detection and monitoring. In this study, we conduct an in-depth literature review focusing on miRNAs that may contribute to the diagnosis and prognosis of PC. The role of miRNAs as a potential theranostic tool in PC is discussed. Using a meta-analysis approach, we found a group of 29 miRNAs with diagnostic properties and a group of seven miRNAs with prognostic properties, which were found already expressed in both biofluids and PC tissues. We tested the two miRNA groups on The Cancer Genome Atlas dataset of PC tissue samples with a machine-learning approach. Our results suggest that these 29 miRNAs should be considered as potential panel of biomarkers for the diagnosis of PC, both as in vivo non-invasive test and ex vivo confirmation test.</abstract><cop>Switzerland</cop><pub>MDPI</pub><pmid>27011184</pmid><doi>10.3390/ijms17030421</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-5540-4104</orcidid><orcidid>https://orcid.org/0000-0002-5901-4269</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1422-0067
ispartof International journal of molecular sciences, 2016-03, Vol.17 (3), p.421-421
issn 1422-0067
1422-0067
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4813272
source MDPI - Multidisciplinary Digital Publishing Institute; MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central
subjects Animals
Biomarkers, Tumor - blood
Biomarkers, Tumor - genetics
Biomarkers, Tumor - metabolism
Humans
Male
MicroRNAs - blood
MicroRNAs - genetics
MicroRNAs - metabolism
Prostatic Neoplasms - diagnosis
Prostatic Neoplasms - therapy
Review
RNAi Therapeutics - methods
title MicroRNAs as Biomarkers for Diagnosis, Prognosis and Theranostics in Prostate Cancer
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-14T00%3A22%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=MicroRNAs%20as%20Biomarkers%20for%20Diagnosis,%20Prognosis%20and%20Theranostics%20in%20Prostate%20Cancer&rft.jtitle=International%20journal%20of%20molecular%20sciences&rft.au=Bertoli,%20Gloria&rft.date=2016-03-22&rft.volume=17&rft.issue=3&rft.spage=421&rft.epage=421&rft.pages=421-421&rft.issn=1422-0067&rft.eissn=1422-0067&rft_id=info:doi/10.3390/ijms17030421&rft_dat=%3Cproquest_pubme%3E1776087695%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1776087695&rft_id=info:pmid/27011184&rfr_iscdi=true