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Genomic Copy Number Profiling Using Circulating Free Tumor DNA Highlights Heterogeneity in Neuroblastoma
The tumor genomic copy number profile is of prognostic significance in neuroblastoma patients. We have studied the genomic copy number profile of cell-free DNA (cfDNA) and compared this with primary tumor arrayCGH (aCGH) at diagnosis. In 70 patients, cfDNA genomic copy number profiling was performed...
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Published in: | Clinical cancer research 2016-11, Vol.22 (22), p.5564-5573 |
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creator | Chicard, Mathieu Boyault, Sandrine Colmet Daage, Leo Richer, Wilfrid Gentien, David Pierron, Gaelle Lapouble, Eve Bellini, Angela Clement, Nathalie Iacono, Isabelle Bréjon, Stéphanie Carrere, Marjorie Reyes, Cécile Hocking, Toby Bernard, Virginie Peuchmaur, Michel Corradini, Nadège Faure-Conter, Cécile Coze, Carole Plantaz, Dominique Defachelles, Anne Sophie Thebaud, Estelle Gambart, Marion Millot, Frédéric Valteau-Couanet, Dominique Michon, Jean Puisieux, Alain Delattre, Olivier Combaret, Valérie Schleiermacher, Gudrun |
description | The tumor genomic copy number profile is of prognostic significance in neuroblastoma patients. We have studied the genomic copy number profile of cell-free DNA (cfDNA) and compared this with primary tumor arrayCGH (aCGH) at diagnosis.
In 70 patients, cfDNA genomic copy number profiling was performed using the OncoScan platform. The profiles were classified according to the overall pattern, including numerical chromosome alterations (NCA), segmental chromosome alterations (SCA), and MYCN amplification (MNA).
Interpretable and dynamic cfDNA profiles were obtained in 66 of 70 and 52 of 70 cases, respectively. An overall identical genomic profile between tumor aCGH and cfDNA was observed in 47 cases (3 NCAs, 22 SCAs, 22 MNAs). In one case, cfDNA showed an additional SCA not detected by tumor aCGH. In 4 of 8 cases with a silent tumor aCGH profile, cfDNA analysis revealed a dynamic profile (3 SCAs, 1 NCA). In 14 cases, cfDNA analysis did not reveal any copy number changes. A total of 378 breakpoints common to the primary tumor and cfDNA of any given patient were identified, 27 breakpoints were seen by tumor aCGH, and 54 breakpoints were seen in cfDNA only, including two cases with interstitial IGFR1 gains and two alterations targeting TERT CONCLUSIONS: These results demonstrate the feasibility of cfDNA copy number profiling in neuroblastoma patients, with a concordance of the overall genomic profile in aCGH and cfDNA dynamic cases of 97% and a sensitivity of 77%, respectively. Furthermore, neuroblastoma heterogeneity is highlighted, suggesting that cfDNA might reflect genetic alterations of more aggressive cell clones. Clin Cancer Res; 22(22); 5564-73. ©2016 AACRSee related commentary by Janku and Kurzrock, p. 5400. |
doi_str_mv | 10.1158/1078-0432.ccr-16-0500 |
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In 70 patients, cfDNA genomic copy number profiling was performed using the OncoScan platform. The profiles were classified according to the overall pattern, including numerical chromosome alterations (NCA), segmental chromosome alterations (SCA), and MYCN amplification (MNA).
Interpretable and dynamic cfDNA profiles were obtained in 66 of 70 and 52 of 70 cases, respectively. An overall identical genomic profile between tumor aCGH and cfDNA was observed in 47 cases (3 NCAs, 22 SCAs, 22 MNAs). In one case, cfDNA showed an additional SCA not detected by tumor aCGH. In 4 of 8 cases with a silent tumor aCGH profile, cfDNA analysis revealed a dynamic profile (3 SCAs, 1 NCA). In 14 cases, cfDNA analysis did not reveal any copy number changes. A total of 378 breakpoints common to the primary tumor and cfDNA of any given patient were identified, 27 breakpoints were seen by tumor aCGH, and 54 breakpoints were seen in cfDNA only, including two cases with interstitial IGFR1 gains and two alterations targeting TERT CONCLUSIONS: These results demonstrate the feasibility of cfDNA copy number profiling in neuroblastoma patients, with a concordance of the overall genomic profile in aCGH and cfDNA dynamic cases of 97% and a sensitivity of 77%, respectively. Furthermore, neuroblastoma heterogeneity is highlighted, suggesting that cfDNA might reflect genetic alterations of more aggressive cell clones. Clin Cancer Res; 22(22); 5564-73. ©2016 AACRSee related commentary by Janku and Kurzrock, p. 5400.</description><identifier>ISSN: 1078-0432</identifier><identifier>EISSN: 1557-3265</identifier><identifier>DOI: 10.1158/1078-0432.ccr-16-0500</identifier><identifier>PMID: 27440268</identifier><language>eng</language><publisher>United States</publisher><subject>Adolescent ; Child ; Child, Preschool ; Chromosome Aberrations ; Circulating Tumor DNA - genetics ; Comparative Genomic Hybridization - methods ; Female ; Gene Amplification - genetics ; Gene Dosage - genetics ; Genomics - methods ; Humans ; Infant ; Male ; Neuroblastoma - blood ; Neuroblastoma - genetics ; Oligonucleotide Array Sequence Analysis - methods ; Prognosis ; Prospective Studies</subject><ispartof>Clinical cancer research, 2016-11, Vol.22 (22), p.5564-5573</ispartof><rights>2016 American Association for Cancer Research.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c507t-523fa1cfc91796d56802a3fd8cd37947a4aefc342e72acbaffa87ccde02971e53</citedby><cites>FETCH-LOGICAL-c507t-523fa1cfc91796d56802a3fd8cd37947a4aefc342e72acbaffa87ccde02971e53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27440268$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chicard, Mathieu</creatorcontrib><creatorcontrib>Boyault, Sandrine</creatorcontrib><creatorcontrib>Colmet Daage, Leo</creatorcontrib><creatorcontrib>Richer, Wilfrid</creatorcontrib><creatorcontrib>Gentien, David</creatorcontrib><creatorcontrib>Pierron, Gaelle</creatorcontrib><creatorcontrib>Lapouble, Eve</creatorcontrib><creatorcontrib>Bellini, Angela</creatorcontrib><creatorcontrib>Clement, Nathalie</creatorcontrib><creatorcontrib>Iacono, Isabelle</creatorcontrib><creatorcontrib>Bréjon, Stéphanie</creatorcontrib><creatorcontrib>Carrere, Marjorie</creatorcontrib><creatorcontrib>Reyes, Cécile</creatorcontrib><creatorcontrib>Hocking, Toby</creatorcontrib><creatorcontrib>Bernard, Virginie</creatorcontrib><creatorcontrib>Peuchmaur, Michel</creatorcontrib><creatorcontrib>Corradini, Nadège</creatorcontrib><creatorcontrib>Faure-Conter, Cécile</creatorcontrib><creatorcontrib>Coze, Carole</creatorcontrib><creatorcontrib>Plantaz, Dominique</creatorcontrib><creatorcontrib>Defachelles, Anne Sophie</creatorcontrib><creatorcontrib>Thebaud, Estelle</creatorcontrib><creatorcontrib>Gambart, Marion</creatorcontrib><creatorcontrib>Millot, Frédéric</creatorcontrib><creatorcontrib>Valteau-Couanet, Dominique</creatorcontrib><creatorcontrib>Michon, Jean</creatorcontrib><creatorcontrib>Puisieux, Alain</creatorcontrib><creatorcontrib>Delattre, Olivier</creatorcontrib><creatorcontrib>Combaret, Valérie</creatorcontrib><creatorcontrib>Schleiermacher, Gudrun</creatorcontrib><title>Genomic Copy Number Profiling Using Circulating Free Tumor DNA Highlights Heterogeneity in Neuroblastoma</title><title>Clinical cancer research</title><addtitle>Clin Cancer Res</addtitle><description>The tumor genomic copy number profile is of prognostic significance in neuroblastoma patients. We have studied the genomic copy number profile of cell-free DNA (cfDNA) and compared this with primary tumor arrayCGH (aCGH) at diagnosis.
In 70 patients, cfDNA genomic copy number profiling was performed using the OncoScan platform. The profiles were classified according to the overall pattern, including numerical chromosome alterations (NCA), segmental chromosome alterations (SCA), and MYCN amplification (MNA).
Interpretable and dynamic cfDNA profiles were obtained in 66 of 70 and 52 of 70 cases, respectively. An overall identical genomic profile between tumor aCGH and cfDNA was observed in 47 cases (3 NCAs, 22 SCAs, 22 MNAs). In one case, cfDNA showed an additional SCA not detected by tumor aCGH. In 4 of 8 cases with a silent tumor aCGH profile, cfDNA analysis revealed a dynamic profile (3 SCAs, 1 NCA). In 14 cases, cfDNA analysis did not reveal any copy number changes. A total of 378 breakpoints common to the primary tumor and cfDNA of any given patient were identified, 27 breakpoints were seen by tumor aCGH, and 54 breakpoints were seen in cfDNA only, including two cases with interstitial IGFR1 gains and two alterations targeting TERT CONCLUSIONS: These results demonstrate the feasibility of cfDNA copy number profiling in neuroblastoma patients, with a concordance of the overall genomic profile in aCGH and cfDNA dynamic cases of 97% and a sensitivity of 77%, respectively. Furthermore, neuroblastoma heterogeneity is highlighted, suggesting that cfDNA might reflect genetic alterations of more aggressive cell clones. Clin Cancer Res; 22(22); 5564-73. ©2016 AACRSee related commentary by Janku and Kurzrock, p. 5400.</description><subject>Adolescent</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Chromosome Aberrations</subject><subject>Circulating Tumor DNA - genetics</subject><subject>Comparative Genomic Hybridization - methods</subject><subject>Female</subject><subject>Gene Amplification - genetics</subject><subject>Gene Dosage - genetics</subject><subject>Genomics - methods</subject><subject>Humans</subject><subject>Infant</subject><subject>Male</subject><subject>Neuroblastoma - blood</subject><subject>Neuroblastoma - genetics</subject><subject>Oligonucleotide Array Sequence Analysis - methods</subject><subject>Prognosis</subject><subject>Prospective Studies</subject><issn>1078-0432</issn><issn>1557-3265</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqNkctOwzAQRS0EouXxCSAv2QT8drqswqNIqCAEa8t1xsUoiYudLPr3NKKwZjEzd3FmRroXoQtKrimV5Q0luiyI4OzauVRQVRBJyAGaUil1wZmShzv9y0zQSc6fhFBBiThGE6aFIEyVU_TxAF1sg8NV3GzxcmhXkPBLij40oVvj9zz2KiQ3NLYf9X0CwG9DGxO-Xc7xIqw_ml31GS-ghxTX0EHotzh0eAlDiqvG5j629gwdedtkON_PU_R-f_dWLYqn54fHav5UOEl0X0jGvaXOuxnVM1VLVRJmua9LV3M9E9oKC95xwUAz61bWe1tq52ogbKYpSH6Krn7ublL8GiD3pg3ZQdPYDuKQDS2FEoxwpf-BMqWZFJTtUPmDuhRzTuDNJoXWpq2hxIx5mNFrM3ptqurVUGXGPHZ7l_sXw6qF-m_rNwD-DY58h38</recordid><startdate>20161115</startdate><enddate>20161115</enddate><creator>Chicard, Mathieu</creator><creator>Boyault, Sandrine</creator><creator>Colmet Daage, Leo</creator><creator>Richer, Wilfrid</creator><creator>Gentien, David</creator><creator>Pierron, Gaelle</creator><creator>Lapouble, Eve</creator><creator>Bellini, Angela</creator><creator>Clement, Nathalie</creator><creator>Iacono, Isabelle</creator><creator>Bréjon, Stéphanie</creator><creator>Carrere, Marjorie</creator><creator>Reyes, Cécile</creator><creator>Hocking, Toby</creator><creator>Bernard, Virginie</creator><creator>Peuchmaur, Michel</creator><creator>Corradini, Nadège</creator><creator>Faure-Conter, Cécile</creator><creator>Coze, Carole</creator><creator>Plantaz, Dominique</creator><creator>Defachelles, Anne Sophie</creator><creator>Thebaud, Estelle</creator><creator>Gambart, Marion</creator><creator>Millot, Frédéric</creator><creator>Valteau-Couanet, Dominique</creator><creator>Michon, Jean</creator><creator>Puisieux, Alain</creator><creator>Delattre, Olivier</creator><creator>Combaret, Valérie</creator><creator>Schleiermacher, Gudrun</creator><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>7QO</scope><scope>7TM</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope></search><sort><creationdate>20161115</creationdate><title>Genomic Copy Number Profiling Using Circulating Free Tumor DNA Highlights Heterogeneity in Neuroblastoma</title><author>Chicard, Mathieu ; Boyault, Sandrine ; Colmet Daage, Leo ; Richer, Wilfrid ; Gentien, David ; Pierron, Gaelle ; Lapouble, Eve ; Bellini, Angela ; Clement, Nathalie ; Iacono, Isabelle ; Bréjon, Stéphanie ; Carrere, Marjorie ; Reyes, Cécile ; Hocking, Toby ; Bernard, Virginie ; Peuchmaur, Michel ; Corradini, Nadège ; Faure-Conter, Cécile ; Coze, Carole ; Plantaz, Dominique ; Defachelles, Anne Sophie ; Thebaud, Estelle ; Gambart, Marion ; Millot, Frédéric ; Valteau-Couanet, Dominique ; Michon, Jean ; Puisieux, Alain ; Delattre, Olivier ; Combaret, Valérie ; Schleiermacher, Gudrun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c507t-523fa1cfc91796d56802a3fd8cd37947a4aefc342e72acbaffa87ccde02971e53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adolescent</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Chromosome Aberrations</topic><topic>Circulating Tumor DNA - genetics</topic><topic>Comparative Genomic Hybridization - methods</topic><topic>Female</topic><topic>Gene Amplification - genetics</topic><topic>Gene Dosage - genetics</topic><topic>Genomics - methods</topic><topic>Humans</topic><topic>Infant</topic><topic>Male</topic><topic>Neuroblastoma - blood</topic><topic>Neuroblastoma - genetics</topic><topic>Oligonucleotide Array Sequence Analysis - methods</topic><topic>Prognosis</topic><topic>Prospective Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chicard, Mathieu</creatorcontrib><creatorcontrib>Boyault, Sandrine</creatorcontrib><creatorcontrib>Colmet Daage, Leo</creatorcontrib><creatorcontrib>Richer, Wilfrid</creatorcontrib><creatorcontrib>Gentien, David</creatorcontrib><creatorcontrib>Pierron, Gaelle</creatorcontrib><creatorcontrib>Lapouble, Eve</creatorcontrib><creatorcontrib>Bellini, Angela</creatorcontrib><creatorcontrib>Clement, Nathalie</creatorcontrib><creatorcontrib>Iacono, Isabelle</creatorcontrib><creatorcontrib>Bréjon, Stéphanie</creatorcontrib><creatorcontrib>Carrere, Marjorie</creatorcontrib><creatorcontrib>Reyes, Cécile</creatorcontrib><creatorcontrib>Hocking, Toby</creatorcontrib><creatorcontrib>Bernard, Virginie</creatorcontrib><creatorcontrib>Peuchmaur, Michel</creatorcontrib><creatorcontrib>Corradini, Nadège</creatorcontrib><creatorcontrib>Faure-Conter, Cécile</creatorcontrib><creatorcontrib>Coze, Carole</creatorcontrib><creatorcontrib>Plantaz, Dominique</creatorcontrib><creatorcontrib>Defachelles, Anne Sophie</creatorcontrib><creatorcontrib>Thebaud, Estelle</creatorcontrib><creatorcontrib>Gambart, Marion</creatorcontrib><creatorcontrib>Millot, Frédéric</creatorcontrib><creatorcontrib>Valteau-Couanet, Dominique</creatorcontrib><creatorcontrib>Michon, Jean</creatorcontrib><creatorcontrib>Puisieux, Alain</creatorcontrib><creatorcontrib>Delattre, Olivier</creatorcontrib><creatorcontrib>Combaret, Valérie</creatorcontrib><creatorcontrib>Schleiermacher, Gudrun</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>Biotechnology Research Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Clinical cancer research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chicard, Mathieu</au><au>Boyault, Sandrine</au><au>Colmet Daage, Leo</au><au>Richer, Wilfrid</au><au>Gentien, David</au><au>Pierron, Gaelle</au><au>Lapouble, Eve</au><au>Bellini, Angela</au><au>Clement, Nathalie</au><au>Iacono, Isabelle</au><au>Bréjon, Stéphanie</au><au>Carrere, Marjorie</au><au>Reyes, Cécile</au><au>Hocking, Toby</au><au>Bernard, Virginie</au><au>Peuchmaur, Michel</au><au>Corradini, Nadège</au><au>Faure-Conter, Cécile</au><au>Coze, Carole</au><au>Plantaz, Dominique</au><au>Defachelles, Anne Sophie</au><au>Thebaud, Estelle</au><au>Gambart, Marion</au><au>Millot, Frédéric</au><au>Valteau-Couanet, Dominique</au><au>Michon, Jean</au><au>Puisieux, Alain</au><au>Delattre, Olivier</au><au>Combaret, Valérie</au><au>Schleiermacher, Gudrun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genomic Copy Number Profiling Using Circulating Free Tumor DNA Highlights Heterogeneity in Neuroblastoma</atitle><jtitle>Clinical cancer research</jtitle><addtitle>Clin Cancer Res</addtitle><date>2016-11-15</date><risdate>2016</risdate><volume>22</volume><issue>22</issue><spage>5564</spage><epage>5573</epage><pages>5564-5573</pages><issn>1078-0432</issn><eissn>1557-3265</eissn><abstract>The tumor genomic copy number profile is of prognostic significance in neuroblastoma patients. We have studied the genomic copy number profile of cell-free DNA (cfDNA) and compared this with primary tumor arrayCGH (aCGH) at diagnosis.
In 70 patients, cfDNA genomic copy number profiling was performed using the OncoScan platform. The profiles were classified according to the overall pattern, including numerical chromosome alterations (NCA), segmental chromosome alterations (SCA), and MYCN amplification (MNA).
Interpretable and dynamic cfDNA profiles were obtained in 66 of 70 and 52 of 70 cases, respectively. An overall identical genomic profile between tumor aCGH and cfDNA was observed in 47 cases (3 NCAs, 22 SCAs, 22 MNAs). In one case, cfDNA showed an additional SCA not detected by tumor aCGH. In 4 of 8 cases with a silent tumor aCGH profile, cfDNA analysis revealed a dynamic profile (3 SCAs, 1 NCA). In 14 cases, cfDNA analysis did not reveal any copy number changes. A total of 378 breakpoints common to the primary tumor and cfDNA of any given patient were identified, 27 breakpoints were seen by tumor aCGH, and 54 breakpoints were seen in cfDNA only, including two cases with interstitial IGFR1 gains and two alterations targeting TERT CONCLUSIONS: These results demonstrate the feasibility of cfDNA copy number profiling in neuroblastoma patients, with a concordance of the overall genomic profile in aCGH and cfDNA dynamic cases of 97% and a sensitivity of 77%, respectively. Furthermore, neuroblastoma heterogeneity is highlighted, suggesting that cfDNA might reflect genetic alterations of more aggressive cell clones. Clin Cancer Res; 22(22); 5564-73. ©2016 AACRSee related commentary by Janku and Kurzrock, p. 5400.</abstract><cop>United States</cop><pmid>27440268</pmid><doi>10.1158/1078-0432.ccr-16-0500</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Child Child, Preschool Chromosome Aberrations Circulating Tumor DNA - genetics Comparative Genomic Hybridization - methods Female Gene Amplification - genetics Gene Dosage - genetics Genomics - methods Humans Infant Male Neuroblastoma - blood Neuroblastoma - genetics Oligonucleotide Array Sequence Analysis - methods Prognosis Prospective Studies |
title | Genomic Copy Number Profiling Using Circulating Free Tumor DNA Highlights Heterogeneity in Neuroblastoma |
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