Is Next-Generation Sequencing the way to go for Residual Disease Monitoring in Acute Lymphoblastic Leukemia?

Abstract Minimal residual disease (MRD) is the most important independent prognostic factor in acute lymphoblastic leukemia (ALL). Since it has been implemented into in treatment stratification strategies, cure rates have improved significantly for all age groups. Real time quantitative (RQ)-PCR of...
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Gespeichert in:

Autor*in:	Kotrova, Michaela [verfasserIn] Trka, Jan Kneba, Michael Brüggemann, Monika

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	Acute Lymphoblastic Leukemia Minimal Residual Disease Marker Identification Minimal Residual Disease Detection Multicolor Flow Cytometry

Anmerkung:	© Springer International Publishing Switzerland 2017

Übergeordnetes Werk:	Enthalten in: Molecular diagnosis & therapy - [S.l.] : Springer International, 2006, 21(2017), 5 vom: 27. Apr., Seite 481-492
Übergeordnetes Werk:	volume:21 ; year:2017 ; number:5 ; day:27 ; month:04 ; pages:481-492

Links:	Volltext

DOI / URN:	10.1007/s40291-017-0277-9

Katalog-ID:	SPR036796220

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520			\|a Abstract Minimal residual disease (MRD) is the most important independent prognostic factor in acute lymphoblastic leukemia (ALL). Since it has been implemented into in treatment stratification strategies, cure rates have improved significantly for all age groups. Real time quantitative (RQ)-PCR of clonal immunoglobulin and T-cell receptor gene rearrangements using allele-specific primers is currently regarded as the gold standard for MRD analysis in ALL, as it is not only highly sensitive and specific but also provides accurate MRD quantification. Following recent advances in next-generation sequencing (NGS), much attention has been devoted to the development of NGS-based MRD assays. This new technique can enhance sensitivity provided that sufficient numbers of cells are analyzed. Recent reports have shown that NGS-MRD also tends to be more specific for relapse prediction than RQ-PCR. In addition, NGS provides information on the physiological B- and T-cell repertoire during and after treatment, which has been shown to be prognostically relevant. However, before implementation of NGS-MRD detection in clinical practice, several issues must be addressed and the whole workflow needs to be standardized, including not only the analytical phase (spike-in calibrators, quality controls) but also the pre-analytical (e.g. sample preparation) and the post-analytical phases (e.g. bioinformatics pipeline, guidelines for correct data interpretation). These topics are currently addressed by a European network, the EuroClonality-NGS Consortium. In conclusion, NGS is a promising tool for MRD detection with the potential to overcome most of the limitations of RQ-PCR and to become the new gold standard for MRD detection in ALL.
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650		4	\|a Minimal Residual Disease \|7 (dpeaa)DE-He213
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650		4	\|a Multicolor Flow Cytometry \|7 (dpeaa)DE-He213
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700	1		\|a Brüggemann, Monika \|0 (orcid)0000-0001-5514-5010 \|4 aut
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912			\|a GBV_ILN_74
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912			\|a GBV_ILN_100
912			\|a GBV_ILN_101
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_120
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912			\|a GBV_ILN_2021
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912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2065
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2088
912			\|a GBV_ILN_2093
912			\|a GBV_ILN_2106
912			\|a GBV_ILN_2107
912			\|a GBV_ILN_2108
912			\|a GBV_ILN_2110
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2113
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912			\|a GBV_ILN_2152
912			\|a GBV_ILN_2153
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allfields	10.1007/s40291-017-0277-9 doi (DE-627)SPR036796220 (SPR)s40291-017-0277-9-e DE-627 ger DE-627 rakwb eng Kotrova, Michaela verfasserin aut Is Next-Generation Sequencing the way to go for Residual Disease Monitoring in Acute Lymphoblastic Leukemia? 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer International Publishing Switzerland 2017 Abstract Minimal residual disease (MRD) is the most important independent prognostic factor in acute lymphoblastic leukemia (ALL). Since it has been implemented into in treatment stratification strategies, cure rates have improved significantly for all age groups. Real time quantitative (RQ)-PCR of clonal immunoglobulin and T-cell receptor gene rearrangements using allele-specific primers is currently regarded as the gold standard for MRD analysis in ALL, as it is not only highly sensitive and specific but also provides accurate MRD quantification. Following recent advances in next-generation sequencing (NGS), much attention has been devoted to the development of NGS-based MRD assays. This new technique can enhance sensitivity provided that sufficient numbers of cells are analyzed. Recent reports have shown that NGS-MRD also tends to be more specific for relapse prediction than RQ-PCR. In addition, NGS provides information on the physiological B- and T-cell repertoire during and after treatment, which has been shown to be prognostically relevant. However, before implementation of NGS-MRD detection in clinical practice, several issues must be addressed and the whole workflow needs to be standardized, including not only the analytical phase (spike-in calibrators, quality controls) but also the pre-analytical (e.g. sample preparation) and the post-analytical phases (e.g. bioinformatics pipeline, guidelines for correct data interpretation). These topics are currently addressed by a European network, the EuroClonality-NGS Consortium. In conclusion, NGS is a promising tool for MRD detection with the potential to overcome most of the limitations of RQ-PCR and to become the new gold standard for MRD detection in ALL. Acute Lymphoblastic Leukemia (dpeaa)DE-He213 Minimal Residual Disease (dpeaa)DE-He213 Marker Identification (dpeaa)DE-He213 Minimal Residual Disease Detection (dpeaa)DE-He213 Multicolor Flow Cytometry (dpeaa)DE-He213 Trka, Jan aut Kneba, Michael aut Brüggemann, Monika (orcid)0000-0001-5514-5010 aut Enthalten in Molecular diagnosis & therapy [S.l.] : Springer International, 2006 21(2017), 5 vom: 27. Apr., Seite 481-492 (DE-627)51122799X (DE-600)2232973-0 1179-2000 nnns volume:21 year:2017 number:5 day:27 month:04 pages:481-492 https://dx.doi.org/10.1007/s40291-017-0277-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 21 2017 5 27 04 481-492
spelling	10.1007/s40291-017-0277-9 doi (DE-627)SPR036796220 (SPR)s40291-017-0277-9-e DE-627 ger DE-627 rakwb eng Kotrova, Michaela verfasserin aut Is Next-Generation Sequencing the way to go for Residual Disease Monitoring in Acute Lymphoblastic Leukemia? 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer International Publishing Switzerland 2017 Abstract Minimal residual disease (MRD) is the most important independent prognostic factor in acute lymphoblastic leukemia (ALL). Since it has been implemented into in treatment stratification strategies, cure rates have improved significantly for all age groups. Real time quantitative (RQ)-PCR of clonal immunoglobulin and T-cell receptor gene rearrangements using allele-specific primers is currently regarded as the gold standard for MRD analysis in ALL, as it is not only highly sensitive and specific but also provides accurate MRD quantification. Following recent advances in next-generation sequencing (NGS), much attention has been devoted to the development of NGS-based MRD assays. This new technique can enhance sensitivity provided that sufficient numbers of cells are analyzed. Recent reports have shown that NGS-MRD also tends to be more specific for relapse prediction than RQ-PCR. In addition, NGS provides information on the physiological B- and T-cell repertoire during and after treatment, which has been shown to be prognostically relevant. However, before implementation of NGS-MRD detection in clinical practice, several issues must be addressed and the whole workflow needs to be standardized, including not only the analytical phase (spike-in calibrators, quality controls) but also the pre-analytical (e.g. sample preparation) and the post-analytical phases (e.g. bioinformatics pipeline, guidelines for correct data interpretation). These topics are currently addressed by a European network, the EuroClonality-NGS Consortium. In conclusion, NGS is a promising tool for MRD detection with the potential to overcome most of the limitations of RQ-PCR and to become the new gold standard for MRD detection in ALL. Acute Lymphoblastic Leukemia (dpeaa)DE-He213 Minimal Residual Disease (dpeaa)DE-He213 Marker Identification (dpeaa)DE-He213 Minimal Residual Disease Detection (dpeaa)DE-He213 Multicolor Flow Cytometry (dpeaa)DE-He213 Trka, Jan aut Kneba, Michael aut Brüggemann, Monika (orcid)0000-0001-5514-5010 aut Enthalten in Molecular diagnosis & therapy [S.l.] : Springer International, 2006 21(2017), 5 vom: 27. Apr., Seite 481-492 (DE-627)51122799X (DE-600)2232973-0 1179-2000 nnns volume:21 year:2017 number:5 day:27 month:04 pages:481-492 https://dx.doi.org/10.1007/s40291-017-0277-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 21 2017 5 27 04 481-492
allfields_unstemmed	10.1007/s40291-017-0277-9 doi (DE-627)SPR036796220 (SPR)s40291-017-0277-9-e DE-627 ger DE-627 rakwb eng Kotrova, Michaela verfasserin aut Is Next-Generation Sequencing the way to go for Residual Disease Monitoring in Acute Lymphoblastic Leukemia? 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer International Publishing Switzerland 2017 Abstract Minimal residual disease (MRD) is the most important independent prognostic factor in acute lymphoblastic leukemia (ALL). Since it has been implemented into in treatment stratification strategies, cure rates have improved significantly for all age groups. Real time quantitative (RQ)-PCR of clonal immunoglobulin and T-cell receptor gene rearrangements using allele-specific primers is currently regarded as the gold standard for MRD analysis in ALL, as it is not only highly sensitive and specific but also provides accurate MRD quantification. Following recent advances in next-generation sequencing (NGS), much attention has been devoted to the development of NGS-based MRD assays. This new technique can enhance sensitivity provided that sufficient numbers of cells are analyzed. Recent reports have shown that NGS-MRD also tends to be more specific for relapse prediction than RQ-PCR. In addition, NGS provides information on the physiological B- and T-cell repertoire during and after treatment, which has been shown to be prognostically relevant. However, before implementation of NGS-MRD detection in clinical practice, several issues must be addressed and the whole workflow needs to be standardized, including not only the analytical phase (spike-in calibrators, quality controls) but also the pre-analytical (e.g. sample preparation) and the post-analytical phases (e.g. bioinformatics pipeline, guidelines for correct data interpretation). These topics are currently addressed by a European network, the EuroClonality-NGS Consortium. In conclusion, NGS is a promising tool for MRD detection with the potential to overcome most of the limitations of RQ-PCR and to become the new gold standard for MRD detection in ALL. Acute Lymphoblastic Leukemia (dpeaa)DE-He213 Minimal Residual Disease (dpeaa)DE-He213 Marker Identification (dpeaa)DE-He213 Minimal Residual Disease Detection (dpeaa)DE-He213 Multicolor Flow Cytometry (dpeaa)DE-He213 Trka, Jan aut Kneba, Michael aut Brüggemann, Monika (orcid)0000-0001-5514-5010 aut Enthalten in Molecular diagnosis & therapy [S.l.] : Springer International, 2006 21(2017), 5 vom: 27. Apr., Seite 481-492 (DE-627)51122799X (DE-600)2232973-0 1179-2000 nnns volume:21 year:2017 number:5 day:27 month:04 pages:481-492 https://dx.doi.org/10.1007/s40291-017-0277-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 21 2017 5 27 04 481-492
allfieldsGer	10.1007/s40291-017-0277-9 doi (DE-627)SPR036796220 (SPR)s40291-017-0277-9-e DE-627 ger DE-627 rakwb eng Kotrova, Michaela verfasserin aut Is Next-Generation Sequencing the way to go for Residual Disease Monitoring in Acute Lymphoblastic Leukemia? 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer International Publishing Switzerland 2017 Abstract Minimal residual disease (MRD) is the most important independent prognostic factor in acute lymphoblastic leukemia (ALL). Since it has been implemented into in treatment stratification strategies, cure rates have improved significantly for all age groups. Real time quantitative (RQ)-PCR of clonal immunoglobulin and T-cell receptor gene rearrangements using allele-specific primers is currently regarded as the gold standard for MRD analysis in ALL, as it is not only highly sensitive and specific but also provides accurate MRD quantification. Following recent advances in next-generation sequencing (NGS), much attention has been devoted to the development of NGS-based MRD assays. This new technique can enhance sensitivity provided that sufficient numbers of cells are analyzed. Recent reports have shown that NGS-MRD also tends to be more specific for relapse prediction than RQ-PCR. In addition, NGS provides information on the physiological B- and T-cell repertoire during and after treatment, which has been shown to be prognostically relevant. However, before implementation of NGS-MRD detection in clinical practice, several issues must be addressed and the whole workflow needs to be standardized, including not only the analytical phase (spike-in calibrators, quality controls) but also the pre-analytical (e.g. sample preparation) and the post-analytical phases (e.g. bioinformatics pipeline, guidelines for correct data interpretation). These topics are currently addressed by a European network, the EuroClonality-NGS Consortium. In conclusion, NGS is a promising tool for MRD detection with the potential to overcome most of the limitations of RQ-PCR and to become the new gold standard for MRD detection in ALL. Acute Lymphoblastic Leukemia (dpeaa)DE-He213 Minimal Residual Disease (dpeaa)DE-He213 Marker Identification (dpeaa)DE-He213 Minimal Residual Disease Detection (dpeaa)DE-He213 Multicolor Flow Cytometry (dpeaa)DE-He213 Trka, Jan aut Kneba, Michael aut Brüggemann, Monika (orcid)0000-0001-5514-5010 aut Enthalten in Molecular diagnosis & therapy [S.l.] : Springer International, 2006 21(2017), 5 vom: 27. Apr., Seite 481-492 (DE-627)51122799X (DE-600)2232973-0 1179-2000 nnns volume:21 year:2017 number:5 day:27 month:04 pages:481-492 https://dx.doi.org/10.1007/s40291-017-0277-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 21 2017 5 27 04 481-492
allfieldsSound	10.1007/s40291-017-0277-9 doi (DE-627)SPR036796220 (SPR)s40291-017-0277-9-e DE-627 ger DE-627 rakwb eng Kotrova, Michaela verfasserin aut Is Next-Generation Sequencing the way to go for Residual Disease Monitoring in Acute Lymphoblastic Leukemia? 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer International Publishing Switzerland 2017 Abstract Minimal residual disease (MRD) is the most important independent prognostic factor in acute lymphoblastic leukemia (ALL). Since it has been implemented into in treatment stratification strategies, cure rates have improved significantly for all age groups. Real time quantitative (RQ)-PCR of clonal immunoglobulin and T-cell receptor gene rearrangements using allele-specific primers is currently regarded as the gold standard for MRD analysis in ALL, as it is not only highly sensitive and specific but also provides accurate MRD quantification. Following recent advances in next-generation sequencing (NGS), much attention has been devoted to the development of NGS-based MRD assays. This new technique can enhance sensitivity provided that sufficient numbers of cells are analyzed. Recent reports have shown that NGS-MRD also tends to be more specific for relapse prediction than RQ-PCR. In addition, NGS provides information on the physiological B- and T-cell repertoire during and after treatment, which has been shown to be prognostically relevant. However, before implementation of NGS-MRD detection in clinical practice, several issues must be addressed and the whole workflow needs to be standardized, including not only the analytical phase (spike-in calibrators, quality controls) but also the pre-analytical (e.g. sample preparation) and the post-analytical phases (e.g. bioinformatics pipeline, guidelines for correct data interpretation). These topics are currently addressed by a European network, the EuroClonality-NGS Consortium. In conclusion, NGS is a promising tool for MRD detection with the potential to overcome most of the limitations of RQ-PCR and to become the new gold standard for MRD detection in ALL. Acute Lymphoblastic Leukemia (dpeaa)DE-He213 Minimal Residual Disease (dpeaa)DE-He213 Marker Identification (dpeaa)DE-He213 Minimal Residual Disease Detection (dpeaa)DE-He213 Multicolor Flow Cytometry (dpeaa)DE-He213 Trka, Jan aut Kneba, Michael aut Brüggemann, Monika (orcid)0000-0001-5514-5010 aut Enthalten in Molecular diagnosis & therapy [S.l.] : Springer International, 2006 21(2017), 5 vom: 27. Apr., Seite 481-492 (DE-627)51122799X (DE-600)2232973-0 1179-2000 nnns volume:21 year:2017 number:5 day:27 month:04 pages:481-492 https://dx.doi.org/10.1007/s40291-017-0277-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 21 2017 5 27 04 481-492
language	English
source	Enthalten in Molecular diagnosis & therapy 21(2017), 5 vom: 27. Apr., Seite 481-492 volume:21 year:2017 number:5 day:27 month:04 pages:481-492
sourceStr	Enthalten in Molecular diagnosis & therapy 21(2017), 5 vom: 27. Apr., Seite 481-492 volume:21 year:2017 number:5 day:27 month:04 pages:481-492
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Acute Lymphoblastic Leukemia Minimal Residual Disease Marker Identification Minimal Residual Disease Detection Multicolor Flow Cytometry
isfreeaccess_bool	false
container_title	Molecular diagnosis & therapy
authorswithroles_txt_mv	Kotrova, Michaela @@aut@@ Trka, Jan @@aut@@ Kneba, Michael @@aut@@ Brüggemann, Monika @@aut@@
publishDateDaySort_date	2017-04-27T00:00:00Z
hierarchy_top_id	51122799X
id	SPR036796220
language_de	englisch
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author	Kotrova, Michaela
spellingShingle	Kotrova, Michaela misc Acute Lymphoblastic Leukemia misc Minimal Residual Disease misc Marker Identification misc Minimal Residual Disease Detection misc Multicolor Flow Cytometry Is Next-Generation Sequencing the way to go for Residual Disease Monitoring in Acute Lymphoblastic Leukemia?
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topic_title	Is Next-Generation Sequencing the way to go for Residual Disease Monitoring in Acute Lymphoblastic Leukemia? Acute Lymphoblastic Leukemia (dpeaa)DE-He213 Minimal Residual Disease (dpeaa)DE-He213 Marker Identification (dpeaa)DE-He213 Minimal Residual Disease Detection (dpeaa)DE-He213 Multicolor Flow Cytometry (dpeaa)DE-He213
topic	misc Acute Lymphoblastic Leukemia misc Minimal Residual Disease misc Marker Identification misc Minimal Residual Disease Detection misc Multicolor Flow Cytometry
topic_unstemmed	misc Acute Lymphoblastic Leukemia misc Minimal Residual Disease misc Marker Identification misc Minimal Residual Disease Detection misc Multicolor Flow Cytometry
topic_browse	misc Acute Lymphoblastic Leukemia misc Minimal Residual Disease misc Marker Identification misc Minimal Residual Disease Detection misc Multicolor Flow Cytometry
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title	Is Next-Generation Sequencing the way to go for Residual Disease Monitoring in Acute Lymphoblastic Leukemia?
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title_full	Is Next-Generation Sequencing the way to go for Residual Disease Monitoring in Acute Lymphoblastic Leukemia?
author_sort	Kotrova, Michaela
journal	Molecular diagnosis & therapy
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author_browse	Kotrova, Michaela Trka, Jan Kneba, Michael Brüggemann, Monika
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title_sort	is next-generation sequencing the way to go for residual disease monitoring in acute lymphoblastic leukemia?
title_auth	Is Next-Generation Sequencing the way to go for Residual Disease Monitoring in Acute Lymphoblastic Leukemia?
abstract	Abstract Minimal residual disease (MRD) is the most important independent prognostic factor in acute lymphoblastic leukemia (ALL). Since it has been implemented into in treatment stratification strategies, cure rates have improved significantly for all age groups. Real time quantitative (RQ)-PCR of clonal immunoglobulin and T-cell receptor gene rearrangements using allele-specific primers is currently regarded as the gold standard for MRD analysis in ALL, as it is not only highly sensitive and specific but also provides accurate MRD quantification. Following recent advances in next-generation sequencing (NGS), much attention has been devoted to the development of NGS-based MRD assays. This new technique can enhance sensitivity provided that sufficient numbers of cells are analyzed. Recent reports have shown that NGS-MRD also tends to be more specific for relapse prediction than RQ-PCR. In addition, NGS provides information on the physiological B- and T-cell repertoire during and after treatment, which has been shown to be prognostically relevant. However, before implementation of NGS-MRD detection in clinical practice, several issues must be addressed and the whole workflow needs to be standardized, including not only the analytical phase (spike-in calibrators, quality controls) but also the pre-analytical (e.g. sample preparation) and the post-analytical phases (e.g. bioinformatics pipeline, guidelines for correct data interpretation). These topics are currently addressed by a European network, the EuroClonality-NGS Consortium. In conclusion, NGS is a promising tool for MRD detection with the potential to overcome most of the limitations of RQ-PCR and to become the new gold standard for MRD detection in ALL. © Springer International Publishing Switzerland 2017
abstractGer	Abstract Minimal residual disease (MRD) is the most important independent prognostic factor in acute lymphoblastic leukemia (ALL). Since it has been implemented into in treatment stratification strategies, cure rates have improved significantly for all age groups. Real time quantitative (RQ)-PCR of clonal immunoglobulin and T-cell receptor gene rearrangements using allele-specific primers is currently regarded as the gold standard for MRD analysis in ALL, as it is not only highly sensitive and specific but also provides accurate MRD quantification. Following recent advances in next-generation sequencing (NGS), much attention has been devoted to the development of NGS-based MRD assays. This new technique can enhance sensitivity provided that sufficient numbers of cells are analyzed. Recent reports have shown that NGS-MRD also tends to be more specific for relapse prediction than RQ-PCR. In addition, NGS provides information on the physiological B- and T-cell repertoire during and after treatment, which has been shown to be prognostically relevant. However, before implementation of NGS-MRD detection in clinical practice, several issues must be addressed and the whole workflow needs to be standardized, including not only the analytical phase (spike-in calibrators, quality controls) but also the pre-analytical (e.g. sample preparation) and the post-analytical phases (e.g. bioinformatics pipeline, guidelines for correct data interpretation). These topics are currently addressed by a European network, the EuroClonality-NGS Consortium. In conclusion, NGS is a promising tool for MRD detection with the potential to overcome most of the limitations of RQ-PCR and to become the new gold standard for MRD detection in ALL. © Springer International Publishing Switzerland 2017
abstract_unstemmed	Abstract Minimal residual disease (MRD) is the most important independent prognostic factor in acute lymphoblastic leukemia (ALL). Since it has been implemented into in treatment stratification strategies, cure rates have improved significantly for all age groups. Real time quantitative (RQ)-PCR of clonal immunoglobulin and T-cell receptor gene rearrangements using allele-specific primers is currently regarded as the gold standard for MRD analysis in ALL, as it is not only highly sensitive and specific but also provides accurate MRD quantification. Following recent advances in next-generation sequencing (NGS), much attention has been devoted to the development of NGS-based MRD assays. This new technique can enhance sensitivity provided that sufficient numbers of cells are analyzed. Recent reports have shown that NGS-MRD also tends to be more specific for relapse prediction than RQ-PCR. In addition, NGS provides information on the physiological B- and T-cell repertoire during and after treatment, which has been shown to be prognostically relevant. However, before implementation of NGS-MRD detection in clinical practice, several issues must be addressed and the whole workflow needs to be standardized, including not only the analytical phase (spike-in calibrators, quality controls) but also the pre-analytical (e.g. sample preparation) and the post-analytical phases (e.g. bioinformatics pipeline, guidelines for correct data interpretation). These topics are currently addressed by a European network, the EuroClonality-NGS Consortium. In conclusion, NGS is a promising tool for MRD detection with the potential to overcome most of the limitations of RQ-PCR and to become the new gold standard for MRD detection in ALL. © Springer International Publishing Switzerland 2017
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title_short	Is Next-Generation Sequencing the way to go for Residual Disease Monitoring in Acute Lymphoblastic Leukemia?
url	https://dx.doi.org/10.1007/s40291-017-0277-9
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However, before implementation of NGS-MRD detection in clinical practice, several issues must be addressed and the whole workflow needs to be standardized, including not only the analytical phase (spike-in calibrators, quality controls) but also the pre-analytical (e.g. sample preparation) and the post-analytical phases (e.g. bioinformatics pipeline, guidelines for correct data interpretation). These topics are currently addressed by a European network, the EuroClonality-NGS Consortium. 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Is Next-Generation Sequencing the way to go for Residual Disease Monitoring in Acute Lymphoblastic Leukemia?

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