Implementation of next generation sequencing into pediatric hematology-oncology practice: moving beyond actionable alterations
Molecular characterization has the potential to advance the management of pediatric cancer and high-risk hematologic disease. The clinical integration of genome sequencing into standard clinical practice has been limited and the potential utility of genome sequencing to identify clinically impactful...
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Veröffentlicht in: | Genome medicine 2016-12, Vol.8 (1), p.133-133, Article 133 |
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creator | Oberg, Jennifer A Glade Bender, Julia L Sulis, Maria Luisa Pendrick, Danielle Sireci, Anthony N Hsiao, Susan J Turk, Andrew T Dela Cruz, Filemon S Hibshoosh, Hanina Remotti, Helen Zylber, Rebecca J Pang, Jiuhong Diolaiti, Daniel Koval, Carrie Andrews, Stuart J Garvin, James H Yamashiro, Darrell J Chung, Wendy K Emerson, Stephen G Nagy, Peter L Mansukhani, Mahesh M Kung, Andrew L |
description | Molecular characterization has the potential to advance the management of pediatric cancer and high-risk hematologic disease. The clinical integration of genome sequencing into standard clinical practice has been limited and the potential utility of genome sequencing to identify clinically impactful information beyond targetable alterations has been underestimated.
The Precision in Pediatric Sequencing (PIPseq) Program at Columbia University Medical Center instituted prospective clinical next generation sequencing (NGS) for pediatric cancer and hematologic disorders at risk for treatment failure. We performed cancer whole exome sequencing (WES) of patient-matched tumor-normal samples and RNA sequencing (RNA-seq) of tumor to identify sequence variants, fusion transcripts, relative gene expression, and copy number variation (CNV). A directed cancer gene panel assay was used when sample adequacy was a concern. Constitutional WES of patients and parents was performed when a constitutionally encoded disease was suspected. Results were initially reviewed by a molecular pathologist and subsequently by a multi-disciplinary molecular tumor board. Clinical reports were issued to the ordering physician and posted to the patient's electronic medical record.
NGS was performed on tumor and/or normal tissue from 101 high-risk pediatric patients. Potentially actionable alterations were identified in 38% of patients, of which only 16% subsequently received matched therapy. In an additional 38% of patients, the genomic data provided clinically relevant information of diagnostic, prognostic, or pharmacogenomic significance. RNA-seq was clinically impactful in 37/65 patients (57%) providing diagnostic and/or prognostic information for 17 patients (26%) and identified therapeutic targets in 15 patients (23%). Known or likely pathogenic germline alterations were discovered in 18/90 patients (20%) with 14% having germline alternations in cancer predisposition genes. American College of Medical Genetics (ACMG) secondary findings were identified in six patients.
Our results demonstrate the feasibility of incorporating clinical NGS into pediatric hematology-oncology practice. Beyond the identification of actionable alterations, the ability to avoid ineffective/inappropriate therapies, make a definitive diagnosis, and identify pharmacogenomic modifiers is clinically impactful. Taking a more inclusive view of potential clinical utility, 66% of cases tested through our program had cli |
doi_str_mv | 10.1186/s13073-016-0389-6 |
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The Precision in Pediatric Sequencing (PIPseq) Program at Columbia University Medical Center instituted prospective clinical next generation sequencing (NGS) for pediatric cancer and hematologic disorders at risk for treatment failure. We performed cancer whole exome sequencing (WES) of patient-matched tumor-normal samples and RNA sequencing (RNA-seq) of tumor to identify sequence variants, fusion transcripts, relative gene expression, and copy number variation (CNV). A directed cancer gene panel assay was used when sample adequacy was a concern. Constitutional WES of patients and parents was performed when a constitutionally encoded disease was suspected. Results were initially reviewed by a molecular pathologist and subsequently by a multi-disciplinary molecular tumor board. Clinical reports were issued to the ordering physician and posted to the patient's electronic medical record.
NGS was performed on tumor and/or normal tissue from 101 high-risk pediatric patients. Potentially actionable alterations were identified in 38% of patients, of which only 16% subsequently received matched therapy. In an additional 38% of patients, the genomic data provided clinically relevant information of diagnostic, prognostic, or pharmacogenomic significance. RNA-seq was clinically impactful in 37/65 patients (57%) providing diagnostic and/or prognostic information for 17 patients (26%) and identified therapeutic targets in 15 patients (23%). Known or likely pathogenic germline alterations were discovered in 18/90 patients (20%) with 14% having germline alternations in cancer predisposition genes. American College of Medical Genetics (ACMG) secondary findings were identified in six patients.
Our results demonstrate the feasibility of incorporating clinical NGS into pediatric hematology-oncology practice. Beyond the identification of actionable alterations, the ability to avoid ineffective/inappropriate therapies, make a definitive diagnosis, and identify pharmacogenomic modifiers is clinically impactful. Taking a more inclusive view of potential clinical utility, 66% of cases tested through our program had clinically impactful findings and samples interrogated with both WES and RNA-seq resulted in data that impacted clinical decisions in 75% of cases.</description><identifier>ISSN: 1756-994X</identifier><identifier>EISSN: 1756-994X</identifier><identifier>DOI: 10.1186/s13073-016-0389-6</identifier><identifier>PMID: 28007021</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Adolescent ; Cancer in children ; Care and treatment ; Child ; Child, Preschool ; Exome sequencing ; Female ; Hematologic Diseases - genetics ; Hematologic Diseases - metabolism ; High-Throughput Nucleotide Sequencing - methods ; Humans ; Infant ; Infant, Newborn ; Male ; Methods ; Neoplasms - genetics ; Neoplasms - metabolism ; Oncogene Proteins, Fusion - genetics ; Oncogene Proteins, Fusion - metabolism ; Patient outcomes ; RNA, Neoplasm - genetics ; RNA, Neoplasm - metabolism</subject><ispartof>Genome medicine, 2016-12, Vol.8 (1), p.133-133, Article 133</ispartof><rights>COPYRIGHT 2016 BioMed Central Ltd.</rights><rights>Copyright BioMed Central 2016</rights><rights>The Author(s). 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4406-2b2aa0190b8ddc5ee3c91938862de4abd659eb673104acd02e0ea1cc607a30193</citedby><cites>FETCH-LOGICAL-c4406-2b2aa0190b8ddc5ee3c91938862de4abd659eb673104acd02e0ea1cc607a30193</cites><orcidid>0000-0002-9135-3391</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/PMC5180407/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5180407/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28007021$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Oberg, Jennifer A</creatorcontrib><creatorcontrib>Glade Bender, Julia L</creatorcontrib><creatorcontrib>Sulis, Maria Luisa</creatorcontrib><creatorcontrib>Pendrick, Danielle</creatorcontrib><creatorcontrib>Sireci, Anthony N</creatorcontrib><creatorcontrib>Hsiao, Susan J</creatorcontrib><creatorcontrib>Turk, Andrew T</creatorcontrib><creatorcontrib>Dela Cruz, Filemon S</creatorcontrib><creatorcontrib>Hibshoosh, Hanina</creatorcontrib><creatorcontrib>Remotti, Helen</creatorcontrib><creatorcontrib>Zylber, Rebecca J</creatorcontrib><creatorcontrib>Pang, Jiuhong</creatorcontrib><creatorcontrib>Diolaiti, Daniel</creatorcontrib><creatorcontrib>Koval, Carrie</creatorcontrib><creatorcontrib>Andrews, Stuart J</creatorcontrib><creatorcontrib>Garvin, James H</creatorcontrib><creatorcontrib>Yamashiro, Darrell J</creatorcontrib><creatorcontrib>Chung, Wendy K</creatorcontrib><creatorcontrib>Emerson, Stephen G</creatorcontrib><creatorcontrib>Nagy, Peter L</creatorcontrib><creatorcontrib>Mansukhani, Mahesh M</creatorcontrib><creatorcontrib>Kung, Andrew L</creatorcontrib><title>Implementation of next generation sequencing into pediatric hematology-oncology practice: moving beyond actionable alterations</title><title>Genome medicine</title><addtitle>Genome Med</addtitle><description>Molecular characterization has the potential to advance the management of pediatric cancer and high-risk hematologic disease. The clinical integration of genome sequencing into standard clinical practice has been limited and the potential utility of genome sequencing to identify clinically impactful information beyond targetable alterations has been underestimated.
The Precision in Pediatric Sequencing (PIPseq) Program at Columbia University Medical Center instituted prospective clinical next generation sequencing (NGS) for pediatric cancer and hematologic disorders at risk for treatment failure. We performed cancer whole exome sequencing (WES) of patient-matched tumor-normal samples and RNA sequencing (RNA-seq) of tumor to identify sequence variants, fusion transcripts, relative gene expression, and copy number variation (CNV). A directed cancer gene panel assay was used when sample adequacy was a concern. Constitutional WES of patients and parents was performed when a constitutionally encoded disease was suspected. Results were initially reviewed by a molecular pathologist and subsequently by a multi-disciplinary molecular tumor board. Clinical reports were issued to the ordering physician and posted to the patient's electronic medical record.
NGS was performed on tumor and/or normal tissue from 101 high-risk pediatric patients. Potentially actionable alterations were identified in 38% of patients, of which only 16% subsequently received matched therapy. In an additional 38% of patients, the genomic data provided clinically relevant information of diagnostic, prognostic, or pharmacogenomic significance. RNA-seq was clinically impactful in 37/65 patients (57%) providing diagnostic and/or prognostic information for 17 patients (26%) and identified therapeutic targets in 15 patients (23%). Known or likely pathogenic germline alterations were discovered in 18/90 patients (20%) with 14% having germline alternations in cancer predisposition genes. American College of Medical Genetics (ACMG) secondary findings were identified in six patients.
Our results demonstrate the feasibility of incorporating clinical NGS into pediatric hematology-oncology practice. Beyond the identification of actionable alterations, the ability to avoid ineffective/inappropriate therapies, make a definitive diagnosis, and identify pharmacogenomic modifiers is clinically impactful. Taking a more inclusive view of potential clinical utility, 66% of cases tested through our program had clinically impactful findings and samples interrogated with both WES and RNA-seq resulted in data that impacted clinical decisions in 75% of cases.</description><subject>Adolescent</subject><subject>Cancer in children</subject><subject>Care and treatment</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Exome sequencing</subject><subject>Female</subject><subject>Hematologic Diseases - genetics</subject><subject>Hematologic Diseases - metabolism</subject><subject>High-Throughput Nucleotide Sequencing - methods</subject><subject>Humans</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Male</subject><subject>Methods</subject><subject>Neoplasms - genetics</subject><subject>Neoplasms - metabolism</subject><subject>Oncogene Proteins, Fusion - genetics</subject><subject>Oncogene Proteins, Fusion - metabolism</subject><subject>Patient outcomes</subject><subject>RNA, Neoplasm - genetics</subject><subject>RNA, Neoplasm - metabolism</subject><issn>1756-994X</issn><issn>1756-994X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNptUtFqFDEUDaLYuvoBvkhAkL5MTSaZzMSHQilVCwVfFHwLmcyd2ZRMsiYzxX3x281017orkodc7j3nXO7hIPSaknNKG_E-UUZqVhAqCsIaWYgn6JTWlSik5N-fHtQn6EVKd4QIXvL6OTopG0JqUtJT9Otm3DgYwU96ssHj0GMPPyc8gIe4ayX4MYM31g_Y-ingDXRWT9EavIZRT8GFYVsEbx4KvInaTNbABzyG-4XTwjb4Di_d4HXrAGs37bXTS_Ss1y7Bq_2_Qt8-Xn-9-lzcfvl0c3V5WxjOiSjKttSaUEnaputMBcCMpJI1jSg74LrtRCWhFTWjhGvTkRIIaGqMILVmmcdW6GKnu5nbETqT743aqU20o45bFbRVxxNv12oI96qiDeHZ5BU62wvEkO1IkxptMuCc9hDmpGhTlXVDecUy9O0_0LswR5_PW1AV5Y2U1V_UoB0o6_uQ95pFVF3ymtdSMrasPf8PKr8ORmuCh97m_hHh3QFhDdnrdQpufnD7GEh3QBNDShH6RzMoUUu61C5dKqdLLelSInPeHLr4yPgTJ_YbiPjMyA</recordid><startdate>20161223</startdate><enddate>20161223</enddate><creator>Oberg, Jennifer A</creator><creator>Glade Bender, Julia L</creator><creator>Sulis, Maria Luisa</creator><creator>Pendrick, Danielle</creator><creator>Sireci, Anthony N</creator><creator>Hsiao, Susan J</creator><creator>Turk, Andrew T</creator><creator>Dela Cruz, Filemon S</creator><creator>Hibshoosh, Hanina</creator><creator>Remotti, Helen</creator><creator>Zylber, Rebecca J</creator><creator>Pang, Jiuhong</creator><creator>Diolaiti, Daniel</creator><creator>Koval, Carrie</creator><creator>Andrews, Stuart J</creator><creator>Garvin, James H</creator><creator>Yamashiro, Darrell J</creator><creator>Chung, Wendy K</creator><creator>Emerson, Stephen G</creator><creator>Nagy, Peter L</creator><creator>Mansukhani, Mahesh M</creator><creator>Kung, Andrew L</creator><general>BioMed Central Ltd</general><general>BioMed Central</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-9135-3391</orcidid></search><sort><creationdate>20161223</creationdate><title>Implementation of next generation sequencing into pediatric hematology-oncology practice: moving beyond actionable alterations</title><author>Oberg, Jennifer A ; Glade Bender, Julia L ; Sulis, Maria Luisa ; Pendrick, Danielle ; Sireci, Anthony N ; Hsiao, Susan J ; Turk, Andrew T ; Dela Cruz, Filemon S ; Hibshoosh, Hanina ; Remotti, Helen ; Zylber, Rebecca J ; Pang, Jiuhong ; Diolaiti, Daniel ; Koval, Carrie ; Andrews, Stuart J ; Garvin, James H ; Yamashiro, Darrell J ; Chung, Wendy K ; Emerson, Stephen G ; Nagy, Peter L ; Mansukhani, Mahesh M ; Kung, Andrew L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4406-2b2aa0190b8ddc5ee3c91938862de4abd659eb673104acd02e0ea1cc607a30193</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adolescent</topic><topic>Cancer in children</topic><topic>Care and treatment</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Exome sequencing</topic><topic>Female</topic><topic>Hematologic Diseases - genetics</topic><topic>Hematologic Diseases - metabolism</topic><topic>High-Throughput Nucleotide Sequencing - methods</topic><topic>Humans</topic><topic>Infant</topic><topic>Infant, Newborn</topic><topic>Male</topic><topic>Methods</topic><topic>Neoplasms - genetics</topic><topic>Neoplasms - metabolism</topic><topic>Oncogene Proteins, Fusion - genetics</topic><topic>Oncogene Proteins, Fusion - metabolism</topic><topic>Patient outcomes</topic><topic>RNA, Neoplasm - genetics</topic><topic>RNA, Neoplasm - metabolism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Oberg, Jennifer A</creatorcontrib><creatorcontrib>Glade Bender, Julia L</creatorcontrib><creatorcontrib>Sulis, Maria Luisa</creatorcontrib><creatorcontrib>Pendrick, Danielle</creatorcontrib><creatorcontrib>Sireci, Anthony N</creatorcontrib><creatorcontrib>Hsiao, Susan J</creatorcontrib><creatorcontrib>Turk, Andrew T</creatorcontrib><creatorcontrib>Dela Cruz, Filemon S</creatorcontrib><creatorcontrib>Hibshoosh, Hanina</creatorcontrib><creatorcontrib>Remotti, Helen</creatorcontrib><creatorcontrib>Zylber, Rebecca J</creatorcontrib><creatorcontrib>Pang, Jiuhong</creatorcontrib><creatorcontrib>Diolaiti, Daniel</creatorcontrib><creatorcontrib>Koval, Carrie</creatorcontrib><creatorcontrib>Andrews, Stuart J</creatorcontrib><creatorcontrib>Garvin, James H</creatorcontrib><creatorcontrib>Yamashiro, Darrell J</creatorcontrib><creatorcontrib>Chung, Wendy K</creatorcontrib><creatorcontrib>Emerson, Stephen G</creatorcontrib><creatorcontrib>Nagy, Peter L</creatorcontrib><creatorcontrib>Mansukhani, Mahesh M</creatorcontrib><creatorcontrib>Kung, Andrew L</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Genome medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Oberg, Jennifer A</au><au>Glade Bender, Julia L</au><au>Sulis, Maria Luisa</au><au>Pendrick, Danielle</au><au>Sireci, Anthony N</au><au>Hsiao, Susan J</au><au>Turk, Andrew T</au><au>Dela Cruz, Filemon S</au><au>Hibshoosh, Hanina</au><au>Remotti, Helen</au><au>Zylber, Rebecca J</au><au>Pang, Jiuhong</au><au>Diolaiti, Daniel</au><au>Koval, Carrie</au><au>Andrews, Stuart J</au><au>Garvin, James H</au><au>Yamashiro, Darrell J</au><au>Chung, Wendy K</au><au>Emerson, Stephen G</au><au>Nagy, Peter L</au><au>Mansukhani, Mahesh M</au><au>Kung, Andrew L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Implementation of next generation sequencing into pediatric hematology-oncology practice: moving beyond actionable alterations</atitle><jtitle>Genome medicine</jtitle><addtitle>Genome Med</addtitle><date>2016-12-23</date><risdate>2016</risdate><volume>8</volume><issue>1</issue><spage>133</spage><epage>133</epage><pages>133-133</pages><artnum>133</artnum><issn>1756-994X</issn><eissn>1756-994X</eissn><abstract>Molecular characterization has the potential to advance the management of pediatric cancer and high-risk hematologic disease. The clinical integration of genome sequencing into standard clinical practice has been limited and the potential utility of genome sequencing to identify clinically impactful information beyond targetable alterations has been underestimated.
The Precision in Pediatric Sequencing (PIPseq) Program at Columbia University Medical Center instituted prospective clinical next generation sequencing (NGS) for pediatric cancer and hematologic disorders at risk for treatment failure. We performed cancer whole exome sequencing (WES) of patient-matched tumor-normal samples and RNA sequencing (RNA-seq) of tumor to identify sequence variants, fusion transcripts, relative gene expression, and copy number variation (CNV). A directed cancer gene panel assay was used when sample adequacy was a concern. Constitutional WES of patients and parents was performed when a constitutionally encoded disease was suspected. Results were initially reviewed by a molecular pathologist and subsequently by a multi-disciplinary molecular tumor board. Clinical reports were issued to the ordering physician and posted to the patient's electronic medical record.
NGS was performed on tumor and/or normal tissue from 101 high-risk pediatric patients. Potentially actionable alterations were identified in 38% of patients, of which only 16% subsequently received matched therapy. In an additional 38% of patients, the genomic data provided clinically relevant information of diagnostic, prognostic, or pharmacogenomic significance. RNA-seq was clinically impactful in 37/65 patients (57%) providing diagnostic and/or prognostic information for 17 patients (26%) and identified therapeutic targets in 15 patients (23%). Known or likely pathogenic germline alterations were discovered in 18/90 patients (20%) with 14% having germline alternations in cancer predisposition genes. American College of Medical Genetics (ACMG) secondary findings were identified in six patients.
Our results demonstrate the feasibility of incorporating clinical NGS into pediatric hematology-oncology practice. Beyond the identification of actionable alterations, the ability to avoid ineffective/inappropriate therapies, make a definitive diagnosis, and identify pharmacogenomic modifiers is clinically impactful. Taking a more inclusive view of potential clinical utility, 66% of cases tested through our program had clinically impactful findings and samples interrogated with both WES and RNA-seq resulted in data that impacted clinical decisions in 75% of cases.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>28007021</pmid><doi>10.1186/s13073-016-0389-6</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-9135-3391</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Cancer in children Care and treatment Child Child, Preschool Exome sequencing Female Hematologic Diseases - genetics Hematologic Diseases - metabolism High-Throughput Nucleotide Sequencing - methods Humans Infant Infant, Newborn Male Methods Neoplasms - genetics Neoplasms - metabolism Oncogene Proteins, Fusion - genetics Oncogene Proteins, Fusion - metabolism Patient outcomes RNA, Neoplasm - genetics RNA, Neoplasm - metabolism |
title | Implementation of next generation sequencing into pediatric hematology-oncology practice: moving beyond actionable alterations |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-06T16%3A53%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Implementation%20of%20next%20generation%20sequencing%20into%20pediatric%20hematology-oncology%20practice:%20moving%20beyond%20actionable%20alterations&rft.jtitle=Genome%20medicine&rft.au=Oberg,%20Jennifer%20A&rft.date=2016-12-23&rft.volume=8&rft.issue=1&rft.spage=133&rft.epage=133&rft.pages=133-133&rft.artnum=133&rft.issn=1756-994X&rft.eissn=1756-994X&rft_id=info:doi/10.1186/s13073-016-0389-6&rft_dat=%3Cgale_pubme%3EA474799337%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1855148995&rft_id=info:pmid/28007021&rft_galeid=A474799337&rfr_iscdi=true |