Analysis of chronic myeloid leukaemia during deep molecular
response by genomic PCR: a traffic light stratification model
with impact on treatment-free remission

J 2020

Analysis of chronic myeloid leukaemia during deep molecular response by genomic PCR: a traffic light stratification model with impact on treatment-free remission

MACHOVA POLAKOVA, Katerina, Hana ZIZKOVA, Jan ZUNA, Eliska MOTLOVA, Lenka HOVORKOVA et. al.

Basic information

Original name

Analysis of chronic myeloid leukaemia during deep molecular response by genomic PCR: a traffic light stratification model with impact on treatment-free remission

Authors

MACHOVA POLAKOVA, Katerina (203 Czech Republic, guarantor), Hana ZIZKOVA (203 Czech Republic), Jan ZUNA (203 Czech Republic), Eliska MOTLOVA (203 Czech Republic), Lenka HOVORKOVA (203 Czech Republic), Andrea GOTTSCHALK (276 Germany), Ingmar GLAUCHE (276 Germany), Jitka KOBLIHOVA (203 Czech Republic), Pavla PECHERKOVA (203 Czech Republic), Hana KLAMOVA (203 Czech Republic), Marketa STASTNA MARKOVA (203 Czech Republic), Dana SRBOVA (203 Czech Republic), Adela BENESOVA (203 Czech Republic), Vaclava POLIVKOVA (203 Czech Republic), Tomáš JURČEK (203 Czech Republic, belonging to the institution), Daniela ŽÁČKOVÁ (203 Czech Republic, belonging to the institution), Jiří MAYER (203 Czech Republic, belonging to the institution), Thomas ERNST (276 Germany), Francois X. MAHON (250 France), Susanne SAUSSELE (276 Germany), Ingo ROEDERVIEW (276 Germany), Nicholas C. P. CROSS (826 United Kingdom of Great Britain and Northern Ireland) and Andreas HOCHHAUS (276 Germany)

Edition

Leukemia, London, Nature Publishing Group, 2020, 0887-6924

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30205 Hematology

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 11.528

RIV identification code

RIV/00216224:14110/20:00116511

Organization unit

Faculty of Medicine

DOI

http://dx.doi.org/10.1038/s41375-020-0882-1

UT WoS

000632227000002

Keywords in English

chronic myeloid leukaemia; genomic PCR

Abstract

V originále

This work investigated patient-specific genomic BCR-ABL1 fusions as markers of measurable residual disease (MRD) in chronic myeloid leukaemia, with a focus on relevance to treatment-free remission (TFR) after achievement of deep molecular response (DMR) on tyrosine kinase inhibitor (TKI) therapy. DNA and mRNA BCR-ABL1 measurements by qPCR were compared in 2189 samples (129 patients) and by digital PCR in 1279 sample (62 patients). A high correlation was found at levels of disease above MR4, but there was a poor correlation for samples during DMR. A combination of DNA and RNA MRD measurements resulted in a better prediction of molecular relapse-free survival (MRFS) after TKI stop (n=17) or scheduled interruption (n=25). At 18 months after treatment cessation, patients with stopped or interrupted TKI therapy who were DNA negative/RNA negative during DMR maintenance (green group) had an MRFS of 80% and 100%, respectively, compared with those who were DNA positive/RNA negative (MRFS=57% and 67%, respectively; yellow group) or DNA positive/RNA positive (MRFS=20% for both cohorts; red group). Thus, we propose a "traffic light" stratification as a TFR predictor based on DNA and mRNA BCR-ABL1 measurements during DMR maintenance before TKI cessation.

Links

LM2018128, research and development project

Name: Český národní uzel Evropské sítě infrastruktur klinického výzkumu (Acronym: CZECRIN)

Investor: Ministry of Education, Youth and Sports of the CR

Citovat

MACHOVA POLAKOVA, Katerina, Hana ZIZKOVA, Jan ZUNA, Eliska MOTLOVA, Lenka HOVORKOVA, Andrea GOTTSCHALK, Ingmar GLAUCHE, Jitka KOBLIHOVA, Pavla PECHERKOVA, Hana KLAMOVA, Marketa STASTNA MARKOVA, Dana SRBOVA, Adela BENESOVA, Vaclava POLIVKOVA, Tomáš JURČEK, Daniela ŽÁČKOVÁ, Jiří MAYER, Thomas ERNST, Francois X. MAHON, Susanne SAUSSELE, Ingo ROEDERVIEW, Nicholas C. P. CROSS and Andreas HOCHHAUS. Analysis of chronic myeloid leukaemia during deep molecular response by genomic PCR: a traffic light stratification model with impact on treatment-free remission. Leukemia. London: Nature Publishing Group, 2020, vol. 34, No 8, p. 2113-2124. ISSN 0887-6924. Available from: https://dx.doi.org/10.1038/s41375-020-0882-1.

@article{1681536,
   author = {Machova Polakova, Katerina and Zizkova, Hana and Zuna, Jan and Motlova, Eliska and Hovorkova, Lenka and Gottschalk, Andrea and Glauche, Ingmar and Koblihova, Jitka and Pecherkova, Pavla and Klamova, Hana and Stastna Markova, Marketa and Srbova, Dana and Benesova, Adela and Polivkova, Vaclava and Jurček, Tomáš and Žáčková, Daniela and Mayer, Jiří and Ernst, Thomas and Mahon, Francois X. and Saussele, Susanne and RoederView, Ingo and Cross, Nicholas C. P. and Hochhaus, Andreas},
   article_location = {London},
   article_number = {8},
   doi = {http://dx.doi.org/10.1038/s41375-020-0882-1},
   keywords = {chronic myeloid leukaemia; genomic PCR},
   language = {eng},
   issn = {0887-6924},
   journal = {Leukemia},
   title = {Analysis of chronic myeloid leukaemia during deep molecular response by genomic PCR: a traffic light stratification model with impact on treatment-free remission},
   url = {https://www.nature.com/articles/s41375-020-0882-1#author-information},
   volume = {34},
   year = {2020}
}

TY  - JOUR
ID  - 1681536
AU  - Machova Polakova, Katerina - Zizkova, Hana - Zuna, Jan - Motlova, Eliska - Hovorkova, Lenka - Gottschalk, Andrea - Glauche, Ingmar - Koblihova, Jitka - Pecherkova, Pavla - Klamova, Hana - Stastna Markova, Marketa - Srbova, Dana - Benesova, Adela - Polivkova, Vaclava - Jurček, Tomáš - Žáčková, Daniela - Mayer, Jiří - Ernst, Thomas - Mahon, Francois X. - Saussele, Susanne - RoederView, Ingo - Cross, Nicholas C. P. - Hochhaus, Andreas
PY  - 2020
TI  - Analysis of chronic myeloid leukaemia during deep molecular response by genomic PCR: a traffic light stratification model with impact on treatment-free remission
JF  - Leukemia
VL  - 34
IS  - 8
SP  - 2113-2124
EP  - 2113-2124
PB  - Nature Publishing Group
SN  - 08876924
KW  - chronic myeloid leukaemia
KW  - genomic PCR
UR  - https://www.nature.com/articles/s41375-020-0882-1#author-information
L2  - https://www.nature.com/articles/s41375-020-0882-1#author-information
N2  - This work investigated patient-specific genomic BCR-ABL1 fusions as markers of measurable residual disease (MRD) in chronic myeloid leukaemia, with a focus on relevance to treatment-free remission (TFR) after achievement of deep molecular response (DMR) on tyrosine kinase inhibitor (TKI) therapy. DNA and mRNA BCR-ABL1 measurements by qPCR were compared in 2189 samples (129 patients) and by digital PCR in 1279 sample (62 patients). A high correlation was found at levels of disease above MR4, but there was a poor correlation for samples during DMR. A combination of DNA and RNA MRD measurements resulted in a better prediction of molecular relapse-free survival (MRFS) after TKI stop (n=17) or scheduled interruption (n=25). At 18 months after treatment cessation, patients with stopped or interrupted TKI therapy who were DNA negative/RNA negative during DMR maintenance (green group) had an MRFS of 80% and 100%, respectively, compared with those who were DNA positive/RNA negative (MRFS=57% and 67%, respectively; yellow group) or DNA positive/RNA positive (MRFS=20% for both cohorts; red group). Thus, we propose a "traffic light" stratification as a TFR predictor based on DNA and mRNA BCR-ABL1 measurements during DMR maintenance before TKI cessation.
ER  -

MACHOVA POLAKOVA, Katerina, Hana ZIZKOVA, Jan ZUNA, Eliska MOTLOVA, Lenka HOVORKOVA, Andrea GOTTSCHALK, Ingmar GLAUCHE, Jitka KOBLIHOVA, Pavla PECHERKOVA, Hana KLAMOVA, Marketa STASTNA MARKOVA, Dana SRBOVA, Adela BENESOVA, Vaclava POLIVKOVA, Tomáš JURČEK, Daniela ŽÁČKOVÁ, Jiří MAYER, Thomas ERNST, Francois X. MAHON, Susanne SAUSSELE, Ingo ROEDERVIEW, Nicholas C. P. CROSS and Andreas HOCHHAUS. Analysis of chronic myeloid leukaemia during deep molecular response by genomic PCR: a traffic light stratification model with impact on treatment-free remission. \textit{Leukemia}. London: Nature Publishing Group, 2020, vol.~34, No~8, p.~2113-2124. ISSN~0887-6924. Available from: https://dx.doi.org/10.1038/s41375-020-0882-1.

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