Gene expression overlap affects karyotype prediction in pediatric acute lymphoblastic leukemia
Leukemia is the most common childhood malignancy in the United States. Acute lymphoblastic leukemia (ALL) accounts for 75% of new leukemia cases in children. Although the outcome for children with ALL has improved dramatically over the past three decades, 25% of children with ALL still develop recur...
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Veröffentlicht in: | Leukemia 2007-06, Vol.21 (6), p.1341-1344 |
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creator | Martin, S B Mosquera-Caro, M P Potter, J W Davidson, G S Andries, E Kang, H Helman, P Veroff, R L Atlas, S R Murphy, M Wang, X Ar, K Xu, Y Chen, I-M Schultz, F A Wilson, C S Harvey, R Bedrick, E Shuster, J Carroll, A J Camitta, B Willman, C L |
description | Leukemia is the most common childhood malignancy in the United States. Acute lymphoblastic leukemia (ALL) accounts for 75% of new leukemia cases in children. Although the outcome for children with ALL has improved dramatically over the past three decades, 25% of children with ALL still develop recurrent disease. Current risk classification schemes in pediatric ALL use clinical and laboratory parameters such as age and initial white blood cell count, as well as the presence of specific ALL-associated cytogenetic or molecular genetic abnormalities. Stratification based on cytogenetic analysis and molecular genetic detection consider B precursor ALL translocations such as t(12;21)(TEL-AML1), t(1;19)(E2A-PBX1) and t(9;22)(BCR-ABL), as well as numerical imbalances such as hyperdiploidy, specific chromosome trisomies or hypodiploidy. Despite such efforts, current diagnosis and risk classification schemes in pediatric ALL remain imprecise. In particular, it is likely that a significant number of higher-risk children are currently overtreated and could be cured with less intensive regimens, resulting in fewer toxicities and long-term side effects. Finally and conversely, a significant number of children in lower-risk categories still relapse and precise means to prospectively identify them have remained elusive. |
doi_str_mv | 10.1038/sj.leu.2404640 |
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(SNL-NM), Albuquerque, NM (United States) ; Univ. of New Mexico, Albuquerque, NM (United States)</creatorcontrib><description>Leukemia is the most common childhood malignancy in the United States. Acute lymphoblastic leukemia (ALL) accounts for 75% of new leukemia cases in children. Although the outcome for children with ALL has improved dramatically over the past three decades, 25% of children with ALL still develop recurrent disease. Current risk classification schemes in pediatric ALL use clinical and laboratory parameters such as age and initial white blood cell count, as well as the presence of specific ALL-associated cytogenetic or molecular genetic abnormalities. Stratification based on cytogenetic analysis and molecular genetic detection consider B precursor ALL translocations such as t(12;21)(TEL-AML1), t(1;19)(E2A-PBX1) and t(9;22)(BCR-ABL), as well as numerical imbalances such as hyperdiploidy, specific chromosome trisomies or hypodiploidy. Despite such efforts, current diagnosis and risk classification schemes in pediatric ALL remain imprecise. In particular, it is likely that a significant number of higher-risk children are currently overtreated and could be cured with less intensive regimens, resulting in fewer toxicities and long-term side effects. Finally and conversely, a significant number of children in lower-risk categories still relapse and precise means to prospectively identify them have remained elusive.</description><identifier>ISSN: 0887-6924</identifier><identifier>EISSN: 1476-5551</identifier><identifier>DOI: 10.1038/sj.leu.2404640</identifier><identifier>PMID: 17410195</identifier><identifier>CODEN: LEUKED</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>60 APPLIED LIFE SCIENCES ; Acute lymphoblastic leukemia ; BASIC BIOLOGICAL SCIENCES ; Biological and medical sciences ; Cancer Research ; Child ; Cluster Analysis ; Critical Care Medicine ; Gene expression ; Gene Expression Profiling - methods ; Hematologic and hematopoietic diseases ; Hematology ; Humans ; Intensive ; Internal Medicine ; Karyotypes ; Karyotyping ; letter-to-the-editor ; Leukemia ; Leukemias. Malignant lymphomas. Malignant reticulosis. Myelofibrosis ; Lymphatic leukemia ; Medical sciences ; Medicine ; Medicine & Public Health ; Oncology ; Pediatrics ; Precursor Cell Lymphoblastic Leukemia-Lymphoma - genetics</subject><ispartof>Leukemia, 2007-06, Vol.21 (6), p.1341-1344</ispartof><rights>Springer Nature Limited 2007</rights><rights>2007 INIST-CNRS</rights><rights>COPYRIGHT 2007 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Jun 2007</rights><rights>Nature Publishing Group 2007.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c609t-a18e9cfadaa13bf711fdc6ff5d4431074ffa89fd076e1e31ddd4c98d54946db23</citedby><cites>FETCH-LOGICAL-c609t-a18e9cfadaa13bf711fdc6ff5d4431074ffa89fd076e1e31ddd4c98d54946db23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/sj.leu.2404640$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/sj.leu.2404640$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,780,784,885,2727,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18797448$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17410195$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/servlets/purl/1426985$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Martin, S B</creatorcontrib><creatorcontrib>Mosquera-Caro, M P</creatorcontrib><creatorcontrib>Potter, J W</creatorcontrib><creatorcontrib>Davidson, G S</creatorcontrib><creatorcontrib>Andries, E</creatorcontrib><creatorcontrib>Kang, H</creatorcontrib><creatorcontrib>Helman, P</creatorcontrib><creatorcontrib>Veroff, R L</creatorcontrib><creatorcontrib>Atlas, S R</creatorcontrib><creatorcontrib>Murphy, M</creatorcontrib><creatorcontrib>Wang, X</creatorcontrib><creatorcontrib>Ar, K</creatorcontrib><creatorcontrib>Xu, Y</creatorcontrib><creatorcontrib>Chen, I-M</creatorcontrib><creatorcontrib>Schultz, F A</creatorcontrib><creatorcontrib>Wilson, C S</creatorcontrib><creatorcontrib>Harvey, R</creatorcontrib><creatorcontrib>Bedrick, E</creatorcontrib><creatorcontrib>Shuster, J</creatorcontrib><creatorcontrib>Carroll, A J</creatorcontrib><creatorcontrib>Camitta, B</creatorcontrib><creatorcontrib>Willman, C L</creatorcontrib><creatorcontrib>Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)</creatorcontrib><creatorcontrib>Univ. of New Mexico, Albuquerque, NM (United States)</creatorcontrib><title>Gene expression overlap affects karyotype prediction in pediatric acute lymphoblastic leukemia</title><title>Leukemia</title><addtitle>Leukemia</addtitle><addtitle>Leukemia</addtitle><description>Leukemia is the most common childhood malignancy in the United States. Acute lymphoblastic leukemia (ALL) accounts for 75% of new leukemia cases in children. Although the outcome for children with ALL has improved dramatically over the past three decades, 25% of children with ALL still develop recurrent disease. Current risk classification schemes in pediatric ALL use clinical and laboratory parameters such as age and initial white blood cell count, as well as the presence of specific ALL-associated cytogenetic or molecular genetic abnormalities. Stratification based on cytogenetic analysis and molecular genetic detection consider B precursor ALL translocations such as t(12;21)(TEL-AML1), t(1;19)(E2A-PBX1) and t(9;22)(BCR-ABL), as well as numerical imbalances such as hyperdiploidy, specific chromosome trisomies or hypodiploidy. Despite such efforts, current diagnosis and risk classification schemes in pediatric ALL remain imprecise. In particular, it is likely that a significant number of higher-risk children are currently overtreated and could be cured with less intensive regimens, resulting in fewer toxicities and long-term side effects. Finally and conversely, a significant number of children in lower-risk categories still relapse and precise means to prospectively identify them have remained elusive.</description><subject>60 APPLIED LIFE SCIENCES</subject><subject>Acute lymphoblastic leukemia</subject><subject>BASIC BIOLOGICAL SCIENCES</subject><subject>Biological and medical sciences</subject><subject>Cancer Research</subject><subject>Child</subject><subject>Cluster Analysis</subject><subject>Critical Care Medicine</subject><subject>Gene expression</subject><subject>Gene Expression Profiling - methods</subject><subject>Hematologic and hematopoietic diseases</subject><subject>Hematology</subject><subject>Humans</subject><subject>Intensive</subject><subject>Internal Medicine</subject><subject>Karyotypes</subject><subject>Karyotyping</subject><subject>letter-to-the-editor</subject><subject>Leukemia</subject><subject>Leukemias. Malignant lymphomas. Malignant reticulosis. Myelofibrosis</subject><subject>Lymphatic leukemia</subject><subject>Medical sciences</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Oncology</subject><subject>Pediatrics</subject><subject>Precursor Cell Lymphoblastic Leukemia-Lymphoma - genetics</subject><issn>0887-6924</issn><issn>1476-5551</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kk1vEzEQhlcIRNPClRtoRQWcktobf-2xqqAgVeICVyzHHjdOHXuxvYj8exyyEECAfLDseeb1vJ5pmicYLTBaiou8WXgYFx1BhBF0r5lhwtmcUorvNzMkBJ-zviMnzWnOG4T2QfawOcGcYIR7Oms-XUOAFr4OCXJ2MbTxCySvhlZZC7rk9k6lXSy7AdqKGKfLHnKhHepBleR0q_RYoPW77bCOK69yqXe1pjvYOvWoeWCVz_B42s-aj29ef7h6O795f_3u6vJmrhnqy1xhAb22yiiFlyvLMbZGM2upIWSJESfWKtFbgzgDDEtsjCG6F4aSnjCz6pZnzfODbqzPy6xdAb3WMYTqQWLSsV7QCr06QEOKn0fIRW5d1uC9ChDHLAVlnHJBUCVf_pfkiHYE473k-R_gJo4pVKuyY4RyTIlgx-r-QnVVqqOUVGhxgG6VB-mCjSUpXZepH1mtgHX1_hKL6gTT7pcivyesQfmyztGP-w7l38FJWaeYcwIrh-S2ta8SI7mfIpk3snZMTlNUE55N9Y6rLZgjPo1NBV5MgMpaeZtU0C4fOcF7Toio3MWByzUUbiEdjf_z6aeHjKDKmOCn5I_4NxLn6Qs</recordid><startdate>20070601</startdate><enddate>20070601</enddate><creator>Martin, S B</creator><creator>Mosquera-Caro, M P</creator><creator>Potter, J W</creator><creator>Davidson, G S</creator><creator>Andries, E</creator><creator>Kang, H</creator><creator>Helman, P</creator><creator>Veroff, R L</creator><creator>Atlas, S R</creator><creator>Murphy, M</creator><creator>Wang, X</creator><creator>Ar, K</creator><creator>Xu, Y</creator><creator>Chen, I-M</creator><creator>Schultz, F A</creator><creator>Wilson, C S</creator><creator>Harvey, R</creator><creator>Bedrick, E</creator><creator>Shuster, J</creator><creator>Carroll, A J</creator><creator>Camitta, B</creator><creator>Willman, C L</creator><general>Nature Publishing Group UK</general><general>Nature Publishing</general><general>Nature Publishing Group</general><general>Nature Publishing Group (NPG)</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>3V.</scope><scope>7QL</scope><scope>7RV</scope><scope>7T5</scope><scope>7T7</scope><scope>7TM</scope><scope>7TO</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</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>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>OIOZB</scope><scope>OTOTI</scope></search><sort><creationdate>20070601</creationdate><title>Gene expression overlap affects karyotype prediction in pediatric acute lymphoblastic leukemia</title><author>Martin, S B ; Mosquera-Caro, M P ; Potter, J W ; Davidson, G S ; Andries, E ; Kang, H ; Helman, P ; Veroff, R L ; Atlas, S R ; Murphy, M ; Wang, X ; Ar, K ; Xu, Y ; Chen, I-M ; Schultz, F A ; Wilson, C S ; Harvey, R ; Bedrick, E ; Shuster, J ; Carroll, A J ; Camitta, B ; Willman, C L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c609t-a18e9cfadaa13bf711fdc6ff5d4431074ffa89fd076e1e31ddd4c98d54946db23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>60 APPLIED LIFE SCIENCES</topic><topic>Acute lymphoblastic leukemia</topic><topic>BASIC BIOLOGICAL SCIENCES</topic><topic>Biological and medical sciences</topic><topic>Cancer Research</topic><topic>Child</topic><topic>Cluster Analysis</topic><topic>Critical Care Medicine</topic><topic>Gene expression</topic><topic>Gene Expression Profiling - methods</topic><topic>Hematologic and hematopoietic diseases</topic><topic>Hematology</topic><topic>Humans</topic><topic>Intensive</topic><topic>Internal Medicine</topic><topic>Karyotypes</topic><topic>Karyotyping</topic><topic>letter-to-the-editor</topic><topic>Leukemia</topic><topic>Leukemias. Malignant lymphomas. Malignant reticulosis. Myelofibrosis</topic><topic>Lymphatic leukemia</topic><topic>Medical sciences</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Oncology</topic><topic>Pediatrics</topic><topic>Precursor Cell Lymphoblastic Leukemia-Lymphoma - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Martin, S B</creatorcontrib><creatorcontrib>Mosquera-Caro, M P</creatorcontrib><creatorcontrib>Potter, J W</creatorcontrib><creatorcontrib>Davidson, G S</creatorcontrib><creatorcontrib>Andries, E</creatorcontrib><creatorcontrib>Kang, H</creatorcontrib><creatorcontrib>Helman, P</creatorcontrib><creatorcontrib>Veroff, R L</creatorcontrib><creatorcontrib>Atlas, S R</creatorcontrib><creatorcontrib>Murphy, M</creatorcontrib><creatorcontrib>Wang, X</creatorcontrib><creatorcontrib>Ar, K</creatorcontrib><creatorcontrib>Xu, Y</creatorcontrib><creatorcontrib>Chen, I-M</creatorcontrib><creatorcontrib>Schultz, F A</creatorcontrib><creatorcontrib>Wilson, C S</creatorcontrib><creatorcontrib>Harvey, R</creatorcontrib><creatorcontrib>Bedrick, E</creatorcontrib><creatorcontrib>Shuster, J</creatorcontrib><creatorcontrib>Carroll, A J</creatorcontrib><creatorcontrib>Camitta, B</creatorcontrib><creatorcontrib>Willman, C L</creatorcontrib><creatorcontrib>Sandia National Lab. 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(SNL-NM), Albuquerque, NM (United States)</aucorp><aucorp>Univ. of New Mexico, Albuquerque, NM (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gene expression overlap affects karyotype prediction in pediatric acute lymphoblastic leukemia</atitle><jtitle>Leukemia</jtitle><stitle>Leukemia</stitle><addtitle>Leukemia</addtitle><date>2007-06-01</date><risdate>2007</risdate><volume>21</volume><issue>6</issue><spage>1341</spage><epage>1344</epage><pages>1341-1344</pages><issn>0887-6924</issn><eissn>1476-5551</eissn><coden>LEUKED</coden><abstract>Leukemia is the most common childhood malignancy in the United States. Acute lymphoblastic leukemia (ALL) accounts for 75% of new leukemia cases in children. Although the outcome for children with ALL has improved dramatically over the past three decades, 25% of children with ALL still develop recurrent disease. Current risk classification schemes in pediatric ALL use clinical and laboratory parameters such as age and initial white blood cell count, as well as the presence of specific ALL-associated cytogenetic or molecular genetic abnormalities. Stratification based on cytogenetic analysis and molecular genetic detection consider B precursor ALL translocations such as t(12;21)(TEL-AML1), t(1;19)(E2A-PBX1) and t(9;22)(BCR-ABL), as well as numerical imbalances such as hyperdiploidy, specific chromosome trisomies or hypodiploidy. Despite such efforts, current diagnosis and risk classification schemes in pediatric ALL remain imprecise. In particular, it is likely that a significant number of higher-risk children are currently overtreated and could be cured with less intensive regimens, resulting in fewer toxicities and long-term side effects. Finally and conversely, a significant number of children in lower-risk categories still relapse and precise means to prospectively identify them have remained elusive.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>17410195</pmid><doi>10.1038/sj.leu.2404640</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; Nature; EZB-FREE-00999 freely available EZB journals; SpringerLink Journals - AutoHoldings |
subjects | 60 APPLIED LIFE SCIENCES Acute lymphoblastic leukemia BASIC BIOLOGICAL SCIENCES Biological and medical sciences Cancer Research Child Cluster Analysis Critical Care Medicine Gene expression Gene Expression Profiling - methods Hematologic and hematopoietic diseases Hematology Humans Intensive Internal Medicine Karyotypes Karyotyping letter-to-the-editor Leukemia Leukemias. Malignant lymphomas. Malignant reticulosis. Myelofibrosis Lymphatic leukemia Medical sciences Medicine Medicine & Public Health Oncology Pediatrics Precursor Cell Lymphoblastic Leukemia-Lymphoma - genetics |
title | Gene expression overlap affects karyotype prediction in pediatric acute lymphoblastic leukemia |
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