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...
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Veröffentlicht in: | International journal of cancer 2009-07, Vol.125 (2), p.474-482 |
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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 |
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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&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> |
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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 |
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