Gene signatures of pulmonary metastases of renal cell carcinoma reflect the disease‐free interval and the number of metastases per patient

Our understanding of metastatic spread is limited and molecular mechanisms causing particular characteristics of metastasis are largely unknown. Herein, transcriptome‐wide expression profiles of a unique cohort of 20 laser‐resected pulmonary metastases (Mets) of 18 patients with clear‐cell renal cel...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of cancer 2009-07, Vol.125 (2), p.474-482
Hauptverfasser: Wuttig, Daniela, Baier, Barbara, Fuessel, Susanne, Meinhardt, Matthias, Herr, Alexander, Hoefling, Christian, Toma, Marieta, Grimm, Marc‐Oliver, Meye, Axel, Rolle, Axel, Wirth, Manfred P.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 482
container_issue 2
container_start_page 474
container_title International journal of cancer
container_volume 125
creator Wuttig, Daniela
Baier, Barbara
Fuessel, Susanne
Meinhardt, Matthias
Herr, Alexander
Hoefling, Christian
Toma, Marieta
Grimm, Marc‐Oliver
Meye, Axel
Rolle, Axel
Wirth, Manfred P.
description Our understanding of metastatic spread is limited and molecular mechanisms causing particular characteristics of metastasis are largely unknown. Herein, transcriptome‐wide expression profiles of a unique cohort of 20 laser‐resected pulmonary metastases (Mets) of 18 patients with clear‐cell renal cell carcinoma (RCC) were analyzed to identify expression patterns associated with two important prognostic factors in RCC: the disease‐free interval (DFI) after nephrectomy and the number of Mets per patient. Differentially expressed genes were identified by comparing early (DFI ≤ 9 months) and late (DFI ≥ 5 years) Mets, and Mets derived from patients with few (≤8) and multiple (≥16) Mets. Early and late Mets could be separated by the expression of genes involved in metastasis‐associated processes, such as angiogenesis, cell migration and adhesion (e.g., PECAM1, KDR). Samples from patients with multiple Mets showed an elevated expression of genes associated with cell division and cell cycle (e.g., PBK, BIRC5, PTTG1) which indicates that a high number of Mets might result from an increased growth potential. Minimal sets of genes for the prediction of the DFI and the number of Mets per patient were identified. Microarray results were confirmed by quantitative PCR by including nine further pulmonary Mets of RCC. In summary, we showed that subgroups of Mets are distinguishable based on their expression profiles, which reflect the DFI and the number of Mets of a patient. To what extent the identified molecular factors contribute to the development of these characteristics of metastatic spread needs to be analyzed in further studies. © 2009 UICC
doi_str_mv 10.1002/ijc.24353
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_67313335</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>67313335</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3883-df69d393669e90482b3e49da9d8d62a906e2d30cefcbef83cb8b875c61451ad03</originalsourceid><addsrcrecordid>eNp1kU1OwzAQhS0EoqWw4AIoG5BYpLXj_HmJKihFldjAOnLsCbhKnGAnoO44AAvOyElwmwjYIFlj6c3nN5pnhE4JnhKMg5lai2kQ0ojuoTHBLPFxQKJ9NHY97CeExiN0ZO0aY0IiHB6iEWGUEUKDMfpYgAbPqifN286A9erCa7qyqjU3G6-Cllt3et2A5qUnoHSFG6F0XXEnFiWI1mufwZPKgoO_3j8LA-Ap3YJ5dU-4lru-7qoczNbqj3HjlIa3CnR7jA4KXlo4Ge4Jery5fpjf-qv7xXJ-tfIFTVPqyyJmkjIaxwwYDtMgpxAyyZlMZRxwhmMIJMUCCpFDkVKRp3maRCImYUS4xHSCLnrfxtQvHdg2q5Td7sU11J3N4oQSSl2eE3TZg8LU1rpVs8aoyiWTEZxto89c9NkueseeDaZdXoH8JYesHXA-ANwKXhaGa6HsD-e-jIRJkjhu1nNvqoTN_xOz5d28H_0N2YWeKA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>67313335</pqid></control><display><type>article</type><title>Gene signatures of pulmonary metastases of renal cell carcinoma reflect the disease‐free interval and the number of metastases per patient</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Wuttig, Daniela ; Baier, Barbara ; Fuessel, Susanne ; Meinhardt, Matthias ; Herr, Alexander ; Hoefling, Christian ; Toma, Marieta ; Grimm, Marc‐Oliver ; Meye, Axel ; Rolle, Axel ; Wirth, Manfred P.</creator><creatorcontrib>Wuttig, Daniela ; Baier, Barbara ; Fuessel, Susanne ; Meinhardt, Matthias ; Herr, Alexander ; Hoefling, Christian ; Toma, Marieta ; Grimm, Marc‐Oliver ; Meye, Axel ; Rolle, Axel ; Wirth, Manfred P.</creatorcontrib><description>Our understanding of metastatic spread is limited and molecular mechanisms causing particular characteristics of metastasis are largely unknown. Herein, transcriptome‐wide expression profiles of a unique cohort of 20 laser‐resected pulmonary metastases (Mets) of 18 patients with clear‐cell renal cell carcinoma (RCC) were analyzed to identify expression patterns associated with two important prognostic factors in RCC: the disease‐free interval (DFI) after nephrectomy and the number of Mets per patient. Differentially expressed genes were identified by comparing early (DFI ≤ 9 months) and late (DFI ≥ 5 years) Mets, and Mets derived from patients with few (≤8) and multiple (≥16) Mets. Early and late Mets could be separated by the expression of genes involved in metastasis‐associated processes, such as angiogenesis, cell migration and adhesion (e.g., PECAM1, KDR). Samples from patients with multiple Mets showed an elevated expression of genes associated with cell division and cell cycle (e.g., PBK, BIRC5, PTTG1) which indicates that a high number of Mets might result from an increased growth potential. Minimal sets of genes for the prediction of the DFI and the number of Mets per patient were identified. Microarray results were confirmed by quantitative PCR by including nine further pulmonary Mets of RCC. In summary, we showed that subgroups of Mets are distinguishable based on their expression profiles, which reflect the DFI and the number of Mets of a patient. To what extent the identified molecular factors contribute to the development of these characteristics of metastatic spread needs to be analyzed in further studies. © 2009 UICC</description><identifier>ISSN: 0020-7136</identifier><identifier>EISSN: 1097-0215</identifier><identifier>DOI: 10.1002/ijc.24353</identifier><identifier>PMID: 19391132</identifier><identifier>CODEN: IJCNAW</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc., A Wiley Company</publisher><subject>Adult ; Aged ; Biological and medical sciences ; Carcinoma, Renal Cell - pathology ; Disease-Free Survival ; Female ; Humans ; kidney cancer ; Kidney Neoplasms - pathology ; Kidneys ; lung metastases ; Lung Neoplasms - genetics ; Lung Neoplasms - secondary ; Male ; Medical sciences ; Middle Aged ; Neoplasm Metastasis ; Nephrology. Urinary tract diseases ; oligonucleotide microarrays ; Polymerase Chain Reaction ; Tissue Array Analysis ; Tumors ; Tumors of the urinary system</subject><ispartof>International journal of cancer, 2009-07, Vol.125 (2), p.474-482</ispartof><rights>Copyright © 2009 UICC</rights><rights>2009 INIST-CNRS</rights><rights>Copyright 2009 UICC.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3883-df69d393669e90482b3e49da9d8d62a906e2d30cefcbef83cb8b875c61451ad03</citedby><cites>FETCH-LOGICAL-c3883-df69d393669e90482b3e49da9d8d62a906e2d30cefcbef83cb8b875c61451ad03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fijc.24353$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fijc.24353$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=21514777$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19391132$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wuttig, Daniela</creatorcontrib><creatorcontrib>Baier, Barbara</creatorcontrib><creatorcontrib>Fuessel, Susanne</creatorcontrib><creatorcontrib>Meinhardt, Matthias</creatorcontrib><creatorcontrib>Herr, Alexander</creatorcontrib><creatorcontrib>Hoefling, Christian</creatorcontrib><creatorcontrib>Toma, Marieta</creatorcontrib><creatorcontrib>Grimm, Marc‐Oliver</creatorcontrib><creatorcontrib>Meye, Axel</creatorcontrib><creatorcontrib>Rolle, Axel</creatorcontrib><creatorcontrib>Wirth, Manfred P.</creatorcontrib><title>Gene signatures of pulmonary metastases of renal cell carcinoma reflect the disease‐free interval and the number of metastases per patient</title><title>International journal of cancer</title><addtitle>Int J Cancer</addtitle><description>Our understanding of metastatic spread is limited and molecular mechanisms causing particular characteristics of metastasis are largely unknown. Herein, transcriptome‐wide expression profiles of a unique cohort of 20 laser‐resected pulmonary metastases (Mets) of 18 patients with clear‐cell renal cell carcinoma (RCC) were analyzed to identify expression patterns associated with two important prognostic factors in RCC: the disease‐free interval (DFI) after nephrectomy and the number of Mets per patient. Differentially expressed genes were identified by comparing early (DFI ≤ 9 months) and late (DFI ≥ 5 years) Mets, and Mets derived from patients with few (≤8) and multiple (≥16) Mets. Early and late Mets could be separated by the expression of genes involved in metastasis‐associated processes, such as angiogenesis, cell migration and adhesion (e.g., PECAM1, KDR). Samples from patients with multiple Mets showed an elevated expression of genes associated with cell division and cell cycle (e.g., PBK, BIRC5, PTTG1) which indicates that a high number of Mets might result from an increased growth potential. Minimal sets of genes for the prediction of the DFI and the number of Mets per patient were identified. Microarray results were confirmed by quantitative PCR by including nine further pulmonary Mets of RCC. In summary, we showed that subgroups of Mets are distinguishable based on their expression profiles, which reflect the DFI and the number of Mets of a patient. To what extent the identified molecular factors contribute to the development of these characteristics of metastatic spread needs to be analyzed in further studies. © 2009 UICC</description><subject>Adult</subject><subject>Aged</subject><subject>Biological and medical sciences</subject><subject>Carcinoma, Renal Cell - pathology</subject><subject>Disease-Free Survival</subject><subject>Female</subject><subject>Humans</subject><subject>kidney cancer</subject><subject>Kidney Neoplasms - pathology</subject><subject>Kidneys</subject><subject>lung metastases</subject><subject>Lung Neoplasms - genetics</subject><subject>Lung Neoplasms - secondary</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Neoplasm Metastasis</subject><subject>Nephrology. Urinary tract diseases</subject><subject>oligonucleotide microarrays</subject><subject>Polymerase Chain Reaction</subject><subject>Tissue Array Analysis</subject><subject>Tumors</subject><subject>Tumors of the urinary system</subject><issn>0020-7136</issn><issn>1097-0215</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kU1OwzAQhS0EoqWw4AIoG5BYpLXj_HmJKihFldjAOnLsCbhKnGAnoO44AAvOyElwmwjYIFlj6c3nN5pnhE4JnhKMg5lai2kQ0ojuoTHBLPFxQKJ9NHY97CeExiN0ZO0aY0IiHB6iEWGUEUKDMfpYgAbPqifN286A9erCa7qyqjU3G6-Cllt3et2A5qUnoHSFG6F0XXEnFiWI1mufwZPKgoO_3j8LA-Ap3YJ5dU-4lru-7qoczNbqj3HjlIa3CnR7jA4KXlo4Ge4Jery5fpjf-qv7xXJ-tfIFTVPqyyJmkjIaxwwYDtMgpxAyyZlMZRxwhmMIJMUCCpFDkVKRp3maRCImYUS4xHSCLnrfxtQvHdg2q5Td7sU11J3N4oQSSl2eE3TZg8LU1rpVs8aoyiWTEZxto89c9NkueseeDaZdXoH8JYesHXA-ANwKXhaGa6HsD-e-jIRJkjhu1nNvqoTN_xOz5d28H_0N2YWeKA</recordid><startdate>20090715</startdate><enddate>20090715</enddate><creator>Wuttig, Daniela</creator><creator>Baier, Barbara</creator><creator>Fuessel, Susanne</creator><creator>Meinhardt, Matthias</creator><creator>Herr, Alexander</creator><creator>Hoefling, Christian</creator><creator>Toma, Marieta</creator><creator>Grimm, Marc‐Oliver</creator><creator>Meye, Axel</creator><creator>Rolle, Axel</creator><creator>Wirth, Manfred P.</creator><general>Wiley Subscription Services, Inc., A Wiley Company</general><general>Wiley-Blackwell</general><scope>IQODW</scope><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></search><sort><creationdate>20090715</creationdate><title>Gene signatures of pulmonary metastases of renal cell carcinoma reflect the disease‐free interval and the number of metastases per patient</title><author>Wuttig, Daniela ; Baier, Barbara ; Fuessel, Susanne ; Meinhardt, Matthias ; Herr, Alexander ; Hoefling, Christian ; Toma, Marieta ; Grimm, Marc‐Oliver ; Meye, Axel ; Rolle, Axel ; Wirth, Manfred P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3883-df69d393669e90482b3e49da9d8d62a906e2d30cefcbef83cb8b875c61451ad03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Biological and medical sciences</topic><topic>Carcinoma, Renal Cell - pathology</topic><topic>Disease-Free Survival</topic><topic>Female</topic><topic>Humans</topic><topic>kidney cancer</topic><topic>Kidney Neoplasms - pathology</topic><topic>Kidneys</topic><topic>lung metastases</topic><topic>Lung Neoplasms - genetics</topic><topic>Lung Neoplasms - secondary</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Neoplasm Metastasis</topic><topic>Nephrology. Urinary tract diseases</topic><topic>oligonucleotide microarrays</topic><topic>Polymerase Chain Reaction</topic><topic>Tissue Array Analysis</topic><topic>Tumors</topic><topic>Tumors of the urinary system</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wuttig, Daniela</creatorcontrib><creatorcontrib>Baier, Barbara</creatorcontrib><creatorcontrib>Fuessel, Susanne</creatorcontrib><creatorcontrib>Meinhardt, Matthias</creatorcontrib><creatorcontrib>Herr, Alexander</creatorcontrib><creatorcontrib>Hoefling, Christian</creatorcontrib><creatorcontrib>Toma, Marieta</creatorcontrib><creatorcontrib>Grimm, Marc‐Oliver</creatorcontrib><creatorcontrib>Meye, Axel</creatorcontrib><creatorcontrib>Rolle, Axel</creatorcontrib><creatorcontrib>Wirth, Manfred P.</creatorcontrib><collection>Pascal-Francis</collection><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><jtitle>International journal of cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wuttig, Daniela</au><au>Baier, Barbara</au><au>Fuessel, Susanne</au><au>Meinhardt, Matthias</au><au>Herr, Alexander</au><au>Hoefling, Christian</au><au>Toma, Marieta</au><au>Grimm, Marc‐Oliver</au><au>Meye, Axel</au><au>Rolle, Axel</au><au>Wirth, Manfred P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gene signatures of pulmonary metastases of renal cell carcinoma reflect the disease‐free interval and the number of metastases per patient</atitle><jtitle>International journal of cancer</jtitle><addtitle>Int J Cancer</addtitle><date>2009-07-15</date><risdate>2009</risdate><volume>125</volume><issue>2</issue><spage>474</spage><epage>482</epage><pages>474-482</pages><issn>0020-7136</issn><eissn>1097-0215</eissn><coden>IJCNAW</coden><abstract>Our understanding of metastatic spread is limited and molecular mechanisms causing particular characteristics of metastasis are largely unknown. Herein, transcriptome‐wide expression profiles of a unique cohort of 20 laser‐resected pulmonary metastases (Mets) of 18 patients with clear‐cell renal cell carcinoma (RCC) were analyzed to identify expression patterns associated with two important prognostic factors in RCC: the disease‐free interval (DFI) after nephrectomy and the number of Mets per patient. Differentially expressed genes were identified by comparing early (DFI ≤ 9 months) and late (DFI ≥ 5 years) Mets, and Mets derived from patients with few (≤8) and multiple (≥16) Mets. Early and late Mets could be separated by the expression of genes involved in metastasis‐associated processes, such as angiogenesis, cell migration and adhesion (e.g., PECAM1, KDR). Samples from patients with multiple Mets showed an elevated expression of genes associated with cell division and cell cycle (e.g., PBK, BIRC5, PTTG1) which indicates that a high number of Mets might result from an increased growth potential. Minimal sets of genes for the prediction of the DFI and the number of Mets per patient were identified. Microarray results were confirmed by quantitative PCR by including nine further pulmonary Mets of RCC. In summary, we showed that subgroups of Mets are distinguishable based on their expression profiles, which reflect the DFI and the number of Mets of a patient. To what extent the identified molecular factors contribute to the development of these characteristics of metastatic spread needs to be analyzed in further studies. © 2009 UICC</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc., A Wiley Company</pub><pmid>19391132</pmid><doi>10.1002/ijc.24353</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0020-7136
ispartof International journal of cancer, 2009-07, Vol.125 (2), p.474-482
issn 0020-7136
1097-0215
language eng
recordid cdi_proquest_miscellaneous_67313335
source MEDLINE; Wiley Online Library Journals Frontfile Complete; EZB-FREE-00999 freely available EZB journals
subjects Adult
Aged
Biological and medical sciences
Carcinoma, Renal Cell - pathology
Disease-Free Survival
Female
Humans
kidney cancer
Kidney Neoplasms - pathology
Kidneys
lung metastases
Lung Neoplasms - genetics
Lung Neoplasms - secondary
Male
Medical sciences
Middle Aged
Neoplasm Metastasis
Nephrology. Urinary tract diseases
oligonucleotide microarrays
Polymerase Chain Reaction
Tissue Array Analysis
Tumors
Tumors of the urinary system
title Gene signatures of pulmonary metastases of renal cell carcinoma reflect the disease‐free interval and the number of metastases per patient
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T04%3A34%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Gene%20signatures%20of%20pulmonary%20metastases%20of%20renal%20cell%20carcinoma%20reflect%20the%20disease%E2%80%90free%20interval%20and%20the%20number%20of%20metastases%20per%20patient&rft.jtitle=International%20journal%20of%20cancer&rft.au=Wuttig,%20Daniela&rft.date=2009-07-15&rft.volume=125&rft.issue=2&rft.spage=474&rft.epage=482&rft.pages=474-482&rft.issn=0020-7136&rft.eissn=1097-0215&rft.coden=IJCNAW&rft_id=info:doi/10.1002/ijc.24353&rft_dat=%3Cproquest_cross%3E67313335%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=67313335&rft_id=info:pmid/19391132&rfr_iscdi=true