Minimal residual disease-directed risk stratification using real-time quantitative PCR analysis of immunoglobulin and T-cell receptor gene rearrangements in the international multicenter trial AIEOP-BFM ALL 2000 for childhood acute lymphoblastic leukemia
Detection of minimal residual disease (MRD) is the most sensitive method to evaluate treatment response and one of the strongest predictors of outcome in childhood acute lymphoblastic leukemia (ALL). The 10-year update on the I-BFM-SG MRD study 91 demonstrates stable results (event-free survival), t...
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Veröffentlicht in: | Leukemia 2008-04, Vol.22 (4), p.771-782 |
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creator | Flohr, T Schrauder, A Cazzaniga, G Panzer-Grümayer, R van der Velden, V Fischer, S Stanulla, M Basso, G Niggli, F K Schäfer, B W Sutton, R Koehler, R Zimmermann, M Valsecchi, M G Gadner, H Masera, G Schrappe, M van Dongen, J J M Biondi, A Bartram, C R |
description | Detection of minimal residual disease (MRD) is the most sensitive method to evaluate treatment response and one of the strongest predictors of outcome in childhood acute lymphoblastic leukemia (ALL). The 10-year update on the I-BFM-SG MRD study 91 demonstrates stable results (event-free survival), that is, standard risk group (MRD-SR) 93%, intermediate risk group (MRD-IR) 74%, and high risk group (MRD-HR) 16%. In multicenter trial AIEOP-BFM ALL 2000, patients were stratified by MRD detection using quantitative PCR after induction (TP1) and consolidation treatment (TP2). From 1 July 2000 to 31 October 2004, PCR target identification was performed in 3341 patients: 2365 (71%) patients had two or more sensitive targets (⩽10
−4
), 671 (20%) patients revealed only one sensitive target, 217 (6%) patients had targets with lower sensitivity, and 88 (3%) patients had no targets. MRD-based risk group assignment was feasible in 2594 (78%) patients: 40% were classified as MRD-SR (two sensitive targets, MRD negativity at both time points), 8% as MRD-HR (MRD ⩾10
−3
at TP2), and 52% as MRD-IR. The remaining 823 patients were stratified according to clinical risk features: HR (
n
=108) and IR (
n
=715). In conclusion, MRD-PCR-based stratification using stringent criteria is feasible in almost 80% of patients in an international multicenter trial. |
doi_str_mv | 10.1038/leu.2008.5 |
format | Article |
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−4
), 671 (20%) patients revealed only one sensitive target, 217 (6%) patients had targets with lower sensitivity, and 88 (3%) patients had no targets. MRD-based risk group assignment was feasible in 2594 (78%) patients: 40% were classified as MRD-SR (two sensitive targets, MRD negativity at both time points), 8% as MRD-HR (MRD ⩾10
−3
at TP2), and 52% as MRD-IR. The remaining 823 patients were stratified according to clinical risk features: HR (
n
=108) and IR (
n
=715). In conclusion, MRD-PCR-based stratification using stringent criteria is feasible in almost 80% of patients in an international multicenter trial.</description><identifier>ISSN: 0887-6924</identifier><identifier>EISSN: 1476-5551</identifier><identifier>DOI: 10.1038/leu.2008.5</identifier><identifier>PMID: 18239620</identifier><identifier>CODEN: LEUKED</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>Acute lymphoblastic leukemia ; Acute lymphocytic leukemia ; Adolescent ; Antigen receptors, T cell ; Biological and medical sciences ; Cancer Research ; Care and treatment ; Child ; Child, Preschool ; Childhood ; Children ; Critical Care Medicine ; Diagnosis ; Gene Rearrangement ; Gene Rearrangement, T-Lymphocyte ; Genes, Immunoglobulin - genetics ; Genetic aspects ; Health aspects ; Health risks ; Health services ; Hematologic and hematopoietic diseases ; Hematology ; Humans ; Infant ; Intensive ; Internal Medicine ; Leukemia ; Leukemias. Malignant lymphomas. Malignant reticulosis. Myelofibrosis ; Lymphatic leukemia ; Lymphocytes T ; Medical sciences ; Medicine ; Medicine & Public Health ; Minimal residual disease ; Neoplasm, Residual ; Oncology ; original-article ; Patients ; Polymerase Chain Reaction ; Precursor Cell Lymphoblastic Leukemia-Lymphoma - diagnosis ; Precursor Cell Lymphoblastic Leukemia-Lymphoma - genetics ; Precursor Cell Lymphoblastic Leukemia-Lymphoma - therapy ; Receptors ; Risk ; Risk Assessment ; Risk groups ; Sensitivity analysis ; T cell receptors ; T cells ; Target recognition</subject><ispartof>Leukemia, 2008-04, Vol.22 (4), p.771-782</ispartof><rights>Springer Nature Limited 2008</rights><rights>2008 INIST-CNRS</rights><rights>COPYRIGHT 2008 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Apr 2008</rights><rights>Nature Publishing Group 2008.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c571t-a9a01cbc192648b4a5facc8c4bd2d2a39b5d6cd9bbc06f8caaca38ed6dac19be3</citedby><cites>FETCH-LOGICAL-c571t-a9a01cbc192648b4a5facc8c4bd2d2a39b5d6cd9bbc06f8caaca38ed6dac19be3</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/leu.2008.5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/leu.2008.5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20281378$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18239620$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Flohr, T</creatorcontrib><creatorcontrib>Schrauder, A</creatorcontrib><creatorcontrib>Cazzaniga, G</creatorcontrib><creatorcontrib>Panzer-Grümayer, R</creatorcontrib><creatorcontrib>van der Velden, V</creatorcontrib><creatorcontrib>Fischer, S</creatorcontrib><creatorcontrib>Stanulla, M</creatorcontrib><creatorcontrib>Basso, G</creatorcontrib><creatorcontrib>Niggli, F K</creatorcontrib><creatorcontrib>Schäfer, B W</creatorcontrib><creatorcontrib>Sutton, R</creatorcontrib><creatorcontrib>Koehler, R</creatorcontrib><creatorcontrib>Zimmermann, M</creatorcontrib><creatorcontrib>Valsecchi, M G</creatorcontrib><creatorcontrib>Gadner, H</creatorcontrib><creatorcontrib>Masera, G</creatorcontrib><creatorcontrib>Schrappe, M</creatorcontrib><creatorcontrib>van Dongen, J J M</creatorcontrib><creatorcontrib>Biondi, A</creatorcontrib><creatorcontrib>Bartram, C R</creatorcontrib><creatorcontrib>International BFM Study Group (I-BFM-SG)</creatorcontrib><creatorcontrib>on behalf of the International BFM Study Group (I-BFM-SG)</creatorcontrib><title>Minimal residual disease-directed risk stratification using real-time quantitative PCR analysis of immunoglobulin and T-cell receptor gene rearrangements in the international multicenter trial AIEOP-BFM ALL 2000 for childhood acute lymphoblastic leukemia</title><title>Leukemia</title><addtitle>Leukemia</addtitle><addtitle>Leukemia</addtitle><description>Detection of minimal residual disease (MRD) is the most sensitive method to evaluate treatment response and one of the strongest predictors of outcome in childhood acute lymphoblastic leukemia (ALL). The 10-year update on the I-BFM-SG MRD study 91 demonstrates stable results (event-free survival), that is, standard risk group (MRD-SR) 93%, intermediate risk group (MRD-IR) 74%, and high risk group (MRD-HR) 16%. In multicenter trial AIEOP-BFM ALL 2000, patients were stratified by MRD detection using quantitative PCR after induction (TP1) and consolidation treatment (TP2). From 1 July 2000 to 31 October 2004, PCR target identification was performed in 3341 patients: 2365 (71%) patients had two or more sensitive targets (⩽10
−4
), 671 (20%) patients revealed only one sensitive target, 217 (6%) patients had targets with lower sensitivity, and 88 (3%) patients had no targets. MRD-based risk group assignment was feasible in 2594 (78%) patients: 40% were classified as MRD-SR (two sensitive targets, MRD negativity at both time points), 8% as MRD-HR (MRD ⩾10
−3
at TP2), and 52% as MRD-IR. The remaining 823 patients were stratified according to clinical risk features: HR (
n
=108) and IR (
n
=715). In conclusion, MRD-PCR-based stratification using stringent criteria is feasible in almost 80% of patients in an international multicenter trial.</description><subject>Acute lymphoblastic leukemia</subject><subject>Acute lymphocytic leukemia</subject><subject>Adolescent</subject><subject>Antigen receptors, T cell</subject><subject>Biological and medical sciences</subject><subject>Cancer Research</subject><subject>Care and treatment</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Childhood</subject><subject>Children</subject><subject>Critical Care Medicine</subject><subject>Diagnosis</subject><subject>Gene Rearrangement</subject><subject>Gene Rearrangement, T-Lymphocyte</subject><subject>Genes, Immunoglobulin - genetics</subject><subject>Genetic aspects</subject><subject>Health aspects</subject><subject>Health risks</subject><subject>Health services</subject><subject>Hematologic and hematopoietic diseases</subject><subject>Hematology</subject><subject>Humans</subject><subject>Infant</subject><subject>Intensive</subject><subject>Internal Medicine</subject><subject>Leukemia</subject><subject>Leukemias. Malignant lymphomas. Malignant reticulosis. Myelofibrosis</subject><subject>Lymphatic leukemia</subject><subject>Lymphocytes T</subject><subject>Medical sciences</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Minimal residual disease</subject><subject>Neoplasm, Residual</subject><subject>Oncology</subject><subject>original-article</subject><subject>Patients</subject><subject>Polymerase Chain Reaction</subject><subject>Precursor Cell Lymphoblastic Leukemia-Lymphoma - diagnosis</subject><subject>Precursor Cell Lymphoblastic Leukemia-Lymphoma - genetics</subject><subject>Precursor Cell Lymphoblastic Leukemia-Lymphoma - therapy</subject><subject>Receptors</subject><subject>Risk</subject><subject>Risk Assessment</subject><subject>Risk groups</subject><subject>Sensitivity analysis</subject><subject>T cell receptors</subject><subject>T cells</subject><subject>Target recognition</subject><issn>0887-6924</issn><issn>1476-5551</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkt1u1DAQhSMEoqVwwwMgC0QvQFkc58--XKoWKm3VCpXryLEnuy6OvbUdpL48YkJXlKIiFCmOZr6Zic-cLHtZ0EVBS_7BwrRglPJF_SjbL6q2yeu6Lh5n-5TzNm8Eq_ayZzFeUTonm6fZXsFZKRpG97MfZ8aZUVoSIBo94Yc2EWSEXJsAKoEmwcRvJKYgkxmMwrd3ZIrGrbFG2jyZEcj1JF0yCZPfgVwcfSHSSXsTTSR-IGYcJ-fX1veTNQ5TmlzmCuw8VME2-UDW4GBuF4J0axjBpUgQTRvAI0Fwv8bi342TTUbBHCMpGIwsT4_PL_KPJ2dkuVoR1IGSATuqjbF6470mUk0JiL0ZtxvfWxmxnqBk32A08nn2ZJA2wovdeZB9PTm-PPqcr84_nR4tV7mq2yLlUkhaqF4VgjUV7ytZD1IprqpeM81kKfpaN0qLvle0GbiSUsmSg260xJoeyoPs8LbvNvjrCWLqRhNnCaQDP8WuEVQ0gpf_BRkVNStageCbv8ArP6FOFpmmqtuyqgVD6vU_KUZrVjFe3LVaSwudcYPHZat5brcsuGhFy6oaqcUDFD4ahVTewWAwfq_g8I-CDXolbaK307zJeB98dwuq4GMMMHTbgJ4MN11Bu9nhHa6rmx3ezfCr3Y2mfgR9h-4sjcDbHSCjknZARykTf3OMzlduOXLvb7mIKTRduJPmgbE_AYfQFng</recordid><startdate>20080401</startdate><enddate>20080401</enddate><creator>Flohr, T</creator><creator>Schrauder, A</creator><creator>Cazzaniga, G</creator><creator>Panzer-Grümayer, R</creator><creator>van der Velden, V</creator><creator>Fischer, S</creator><creator>Stanulla, M</creator><creator>Basso, G</creator><creator>Niggli, F K</creator><creator>Schäfer, B W</creator><creator>Sutton, R</creator><creator>Koehler, R</creator><creator>Zimmermann, M</creator><creator>Valsecchi, M G</creator><creator>Gadner, H</creator><creator>Masera, G</creator><creator>Schrappe, M</creator><creator>van Dongen, J J M</creator><creator>Biondi, A</creator><creator>Bartram, C R</creator><general>Nature Publishing Group UK</general><general>Nature Publishing</general><general>Nature Publishing Group</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>RC3</scope><scope>7X8</scope></search><sort><creationdate>20080401</creationdate><title>Minimal residual disease-directed risk stratification using real-time quantitative PCR analysis of immunoglobulin and T-cell receptor gene rearrangements in the international multicenter trial AIEOP-BFM ALL 2000 for childhood acute lymphoblastic leukemia</title><author>Flohr, T ; Schrauder, A ; Cazzaniga, G ; Panzer-Grümayer, R ; van der Velden, V ; Fischer, S ; Stanulla, M ; Basso, G ; Niggli, F K ; Schäfer, B W ; Sutton, R ; Koehler, R ; Zimmermann, M ; Valsecchi, M G ; Gadner, H ; Masera, G ; Schrappe, M ; van Dongen, J J M ; Biondi, A ; Bartram, C R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c571t-a9a01cbc192648b4a5facc8c4bd2d2a39b5d6cd9bbc06f8caaca38ed6dac19be3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Acute lymphoblastic leukemia</topic><topic>Acute lymphocytic leukemia</topic><topic>Adolescent</topic><topic>Antigen receptors, T cell</topic><topic>Biological and medical sciences</topic><topic>Cancer Research</topic><topic>Care and treatment</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Childhood</topic><topic>Children</topic><topic>Critical Care Medicine</topic><topic>Diagnosis</topic><topic>Gene Rearrangement</topic><topic>Gene Rearrangement, T-Lymphocyte</topic><topic>Genes, Immunoglobulin - genetics</topic><topic>Genetic aspects</topic><topic>Health aspects</topic><topic>Health risks</topic><topic>Health services</topic><topic>Hematologic and hematopoietic diseases</topic><topic>Hematology</topic><topic>Humans</topic><topic>Infant</topic><topic>Intensive</topic><topic>Internal Medicine</topic><topic>Leukemia</topic><topic>Leukemias. Malignant lymphomas. Malignant reticulosis. Myelofibrosis</topic><topic>Lymphatic leukemia</topic><topic>Lymphocytes T</topic><topic>Medical sciences</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Minimal residual disease</topic><topic>Neoplasm, Residual</topic><topic>Oncology</topic><topic>original-article</topic><topic>Patients</topic><topic>Polymerase Chain Reaction</topic><topic>Precursor Cell Lymphoblastic Leukemia-Lymphoma - diagnosis</topic><topic>Precursor Cell Lymphoblastic Leukemia-Lymphoma - genetics</topic><topic>Precursor Cell Lymphoblastic Leukemia-Lymphoma - therapy</topic><topic>Receptors</topic><topic>Risk</topic><topic>Risk Assessment</topic><topic>Risk groups</topic><topic>Sensitivity analysis</topic><topic>T cell receptors</topic><topic>T cells</topic><topic>Target recognition</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Flohr, T</creatorcontrib><creatorcontrib>Schrauder, A</creatorcontrib><creatorcontrib>Cazzaniga, G</creatorcontrib><creatorcontrib>Panzer-Grümayer, R</creatorcontrib><creatorcontrib>van der Velden, V</creatorcontrib><creatorcontrib>Fischer, S</creatorcontrib><creatorcontrib>Stanulla, M</creatorcontrib><creatorcontrib>Basso, G</creatorcontrib><creatorcontrib>Niggli, F K</creatorcontrib><creatorcontrib>Schäfer, B W</creatorcontrib><creatorcontrib>Sutton, R</creatorcontrib><creatorcontrib>Koehler, R</creatorcontrib><creatorcontrib>Zimmermann, M</creatorcontrib><creatorcontrib>Valsecchi, M G</creatorcontrib><creatorcontrib>Gadner, H</creatorcontrib><creatorcontrib>Masera, G</creatorcontrib><creatorcontrib>Schrappe, M</creatorcontrib><creatorcontrib>van Dongen, J J M</creatorcontrib><creatorcontrib>Biondi, A</creatorcontrib><creatorcontrib>Bartram, C R</creatorcontrib><creatorcontrib>International BFM Study Group (I-BFM-SG)</creatorcontrib><creatorcontrib>on behalf of the International BFM Study Group (I-BFM-SG)</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>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Nursing & Allied Health Database</collection><collection>Immunology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</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>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</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>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Leukemia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Flohr, T</au><au>Schrauder, A</au><au>Cazzaniga, G</au><au>Panzer-Grümayer, R</au><au>van der Velden, V</au><au>Fischer, S</au><au>Stanulla, M</au><au>Basso, G</au><au>Niggli, F K</au><au>Schäfer, B W</au><au>Sutton, R</au><au>Koehler, R</au><au>Zimmermann, M</au><au>Valsecchi, M G</au><au>Gadner, H</au><au>Masera, G</au><au>Schrappe, M</au><au>van Dongen, J J M</au><au>Biondi, A</au><au>Bartram, C R</au><aucorp>International BFM Study Group (I-BFM-SG)</aucorp><aucorp>on behalf of the International BFM Study Group (I-BFM-SG)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Minimal residual disease-directed risk stratification using real-time quantitative PCR analysis of immunoglobulin and T-cell receptor gene rearrangements in the international multicenter trial AIEOP-BFM ALL 2000 for childhood acute lymphoblastic leukemia</atitle><jtitle>Leukemia</jtitle><stitle>Leukemia</stitle><addtitle>Leukemia</addtitle><date>2008-04-01</date><risdate>2008</risdate><volume>22</volume><issue>4</issue><spage>771</spage><epage>782</epage><pages>771-782</pages><issn>0887-6924</issn><eissn>1476-5551</eissn><coden>LEUKED</coden><abstract>Detection of minimal residual disease (MRD) is the most sensitive method to evaluate treatment response and one of the strongest predictors of outcome in childhood acute lymphoblastic leukemia (ALL). The 10-year update on the I-BFM-SG MRD study 91 demonstrates stable results (event-free survival), that is, standard risk group (MRD-SR) 93%, intermediate risk group (MRD-IR) 74%, and high risk group (MRD-HR) 16%. In multicenter trial AIEOP-BFM ALL 2000, patients were stratified by MRD detection using quantitative PCR after induction (TP1) and consolidation treatment (TP2). From 1 July 2000 to 31 October 2004, PCR target identification was performed in 3341 patients: 2365 (71%) patients had two or more sensitive targets (⩽10
−4
), 671 (20%) patients revealed only one sensitive target, 217 (6%) patients had targets with lower sensitivity, and 88 (3%) patients had no targets. MRD-based risk group assignment was feasible in 2594 (78%) patients: 40% were classified as MRD-SR (two sensitive targets, MRD negativity at both time points), 8% as MRD-HR (MRD ⩾10
−3
at TP2), and 52% as MRD-IR. The remaining 823 patients were stratified according to clinical risk features: HR (
n
=108) and IR (
n
=715). In conclusion, MRD-PCR-based stratification using stringent criteria is feasible in almost 80% of patients in an international multicenter trial.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>18239620</pmid><doi>10.1038/leu.2008.5</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0887-6924 |
ispartof | Leukemia, 2008-04, Vol.22 (4), p.771-782 |
issn | 0887-6924 1476-5551 |
language | eng |
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source | MEDLINE; Nature Journals Online; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; SpringerLink Journals - AutoHoldings |
subjects | Acute lymphoblastic leukemia Acute lymphocytic leukemia Adolescent Antigen receptors, T cell Biological and medical sciences Cancer Research Care and treatment Child Child, Preschool Childhood Children Critical Care Medicine Diagnosis Gene Rearrangement Gene Rearrangement, T-Lymphocyte Genes, Immunoglobulin - genetics Genetic aspects Health aspects Health risks Health services Hematologic and hematopoietic diseases Hematology Humans Infant Intensive Internal Medicine Leukemia Leukemias. Malignant lymphomas. Malignant reticulosis. Myelofibrosis Lymphatic leukemia Lymphocytes T Medical sciences Medicine Medicine & Public Health Minimal residual disease Neoplasm, Residual Oncology original-article Patients Polymerase Chain Reaction Precursor Cell Lymphoblastic Leukemia-Lymphoma - diagnosis Precursor Cell Lymphoblastic Leukemia-Lymphoma - genetics Precursor Cell Lymphoblastic Leukemia-Lymphoma - therapy Receptors Risk Risk Assessment Risk groups Sensitivity analysis T cell receptors T cells Target recognition |
title | Minimal residual disease-directed risk stratification using real-time quantitative PCR analysis of immunoglobulin and T-cell receptor gene rearrangements in the international multicenter trial AIEOP-BFM ALL 2000 for childhood acute lymphoblastic leukemia |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-03T06%3A18%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Minimal%20residual%20disease-directed%20risk%20stratification%20using%20real-time%20quantitative%20PCR%20analysis%20of%20immunoglobulin%20and%20T-cell%20receptor%20gene%20rearrangements%20in%20the%20international%20multicenter%20trial%20AIEOP-BFM%20ALL%202000%20for%20childhood%20acute%20lymphoblastic%20leukemia&rft.jtitle=Leukemia&rft.au=Flohr,%20T&rft.aucorp=International%20BFM%20Study%20Group%20(I-BFM-SG)&rft.date=2008-04-01&rft.volume=22&rft.issue=4&rft.spage=771&rft.epage=782&rft.pages=771-782&rft.issn=0887-6924&rft.eissn=1476-5551&rft.coden=LEUKED&rft_id=info:doi/10.1038/leu.2008.5&rft_dat=%3Cgale_proqu%3EA189797245%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=220524281&rft_id=info:pmid/18239620&rft_galeid=A189797245&rfr_iscdi=true |