The University of Southampton
University of Southampton Institutional Repository

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

Analysis of chronic myeloid leukemia during deep molecular response by genomic PCR: a traffic light stratification model with impact on treatment-free remission
Analysis of chronic myeloid leukemia during deep molecular response by genomic PCR: a traffic light stratification model with impact on treatment-free remission
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.
0887-6924
2113-2124
Machova-Polakova, Katerina
4e060d78-afa5-47a4-808f-d1fdffe66518
Zizkova, Hana
3a356c39-51e1-407c-8520-c1182c1acc5d
Zuna, Jan
213729f5-fed9-4aef-b7ad-b60de1904a72
Motlova, Eliska
f39ddace-1b2b-493a-9770-b9750ec08809
Hovorkova, Lenka
5ac694ce-f97d-4b8d-9742-db4fe6c49c33
Gottschalk, Andrea
8b3f3d87-fc9a-45cf-90d0-fe29565f9b97
Glauche, Ingmar
09351d59-a5d2-4fcb-b062-8f050ebe8cfe
Koblihova, Jitka
f656e318-1f2d-43df-bd5c-4b794cc6a6be
Pecherkova, Pavla
4e5ff6c9-d4e9-4a9e-af06-81fffb833b33
Klamova, Hana
0ca809d5-28dd-467b-bda3-dac2f95ad58b
Markova, Marketa Stastna
481a2fb8-3ff2-4aaa-9731-e3b06322860d
Srbova, Dana
81a9363b-bf7d-411a-a927-0f3ed4f35a4c
Benesova, Adela
e954b2b9-1b28-4cd1-803f-b578ed33bf36
Polivkova, Vaclava
09185b6b-5b71-4f25-bdee-ad89a06963de
Jurcek, Tomas
8281fe19-b44b-441c-928b-f8fd7b11f23d
Zackova, Daniela
7411b148-a782-4c70-a5a7-fc480134c379
Mayer, Jiri
2da058eb-e6c0-47b8-b59e-5babe59d4b07
Ernst, Thomas
96c7805b-c900-4545-9f93-1a83d789cb56
Mahon, Francois-Xavier
94cf7490-64e9-41f2-9bd1-10822e62527e
Saussele, Susanne
148d36ac-b14b-42ff-b4cc-17dbe7f720f7
Roeder, Ingo
15456e40-f602-41b4-bc53-590284002061
Cross, Nicholas
f87650da-b908-4a34-b31b-d62c5f186fe4
Hochhaus, Andreas
b37b9b7d-85ff-455e-994d-fcc2adf94088
Machova-Polakova, Katerina
4e060d78-afa5-47a4-808f-d1fdffe66518
Zizkova, Hana
3a356c39-51e1-407c-8520-c1182c1acc5d
Zuna, Jan
213729f5-fed9-4aef-b7ad-b60de1904a72
Motlova, Eliska
f39ddace-1b2b-493a-9770-b9750ec08809
Hovorkova, Lenka
5ac694ce-f97d-4b8d-9742-db4fe6c49c33
Gottschalk, Andrea
8b3f3d87-fc9a-45cf-90d0-fe29565f9b97
Glauche, Ingmar
09351d59-a5d2-4fcb-b062-8f050ebe8cfe
Koblihova, Jitka
f656e318-1f2d-43df-bd5c-4b794cc6a6be
Pecherkova, Pavla
4e5ff6c9-d4e9-4a9e-af06-81fffb833b33
Klamova, Hana
0ca809d5-28dd-467b-bda3-dac2f95ad58b
Markova, Marketa Stastna
481a2fb8-3ff2-4aaa-9731-e3b06322860d
Srbova, Dana
81a9363b-bf7d-411a-a927-0f3ed4f35a4c
Benesova, Adela
e954b2b9-1b28-4cd1-803f-b578ed33bf36
Polivkova, Vaclava
09185b6b-5b71-4f25-bdee-ad89a06963de
Jurcek, Tomas
8281fe19-b44b-441c-928b-f8fd7b11f23d
Zackova, Daniela
7411b148-a782-4c70-a5a7-fc480134c379
Mayer, Jiri
2da058eb-e6c0-47b8-b59e-5babe59d4b07
Ernst, Thomas
96c7805b-c900-4545-9f93-1a83d789cb56
Mahon, Francois-Xavier
94cf7490-64e9-41f2-9bd1-10822e62527e
Saussele, Susanne
148d36ac-b14b-42ff-b4cc-17dbe7f720f7
Roeder, Ingo
15456e40-f602-41b4-bc53-590284002061
Cross, Nicholas
f87650da-b908-4a34-b31b-d62c5f186fe4
Hochhaus, Andreas
b37b9b7d-85ff-455e-994d-fcc2adf94088

Machova-Polakova, Katerina, Zizkova, Hana, Zuna, Jan, Motlova, Eliska, Hovorkova, Lenka, Gottschalk, Andrea, Glauche, Ingmar, Koblihova, Jitka, Pecherkova, Pavla, Klamova, Hana, Markova, Marketa Stastna, Srbova, Dana, Benesova, Adela, Polivkova, Vaclava, Jurcek, Tomas, Zackova, Daniela, Mayer, Jiri, Ernst, Thomas, Mahon, Francois-Xavier, Saussele, Susanne, Roeder, Ingo, Cross, Nicholas and Hochhaus, Andreas (2020) Analysis of chronic myeloid leukemia during deep molecular response by genomic PCR: a traffic light stratification model with impact on treatment-free remission. Leukemia, 34 (8), 2113-2124. (doi:10.1038/s41375-020-0882-1).

Record type: Article

Abstract

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.

Text
Accepted version leukemia - Accepted Manuscript
Download (3MB)

More information

Accepted/In Press date: 19 May 2020
e-pub ahead of print date: 29 May 2020
Published date: 1 August 2020
Additional Information: Funding Information: Acknowledgements This work was funded by the Project Grants #15–31540A and #16–30186A from the Czech Health Research Council and by the European Treatment and Outcome study (EUTOS) for CML. The authors thank for the institutional support #00023736 (Institute of Hematology and Blood Transfusion) and #00064203 (University Hospital Motol) from Ministry of Health of the Czech Republic and the Czech Leukaemia Study Group for Life. This work was further supported by ERA-Net ERACoSysMed JTC-2 project “prediCt” (project number 031L0136A) to IR. We would like to thank to Dr. Milada Småstuen (Oslo Metropolitan University) for the consolations on statistical analysis. The authors are grateful to the patients for providing their samples for this study. Publisher Copyright: © 2020, The Author(s), under exclusive licence to Springer Nature Limited.

Identifiers

Local EPrints ID: 441088
URI: http://eprints.soton.ac.uk/id/eprint/441088
ISSN: 0887-6924
PURE UUID: 489a06b3-81f6-4319-8109-ab7f7fe44bb1
ORCID for Nicholas Cross: ORCID iD orcid.org/0000-0001-5481-2555

Catalogue record

Date deposited: 01 Jun 2020 16:30
Last modified: 17 Mar 2024 05:33

Export record

Altmetrics

Contributors

Author: Katerina Machova-Polakova
Author: Hana Zizkova
Author: Jan Zuna
Author: Eliska Motlova
Author: Lenka Hovorkova
Author: Andrea Gottschalk
Author: Ingmar Glauche
Author: Jitka Koblihova
Author: Pavla Pecherkova
Author: Hana Klamova
Author: Marketa Stastna Markova
Author: Dana Srbova
Author: Adela Benesova
Author: Vaclava Polivkova
Author: Tomas Jurcek
Author: Daniela Zackova
Author: Jiri Mayer
Author: Thomas Ernst
Author: Francois-Xavier Mahon
Author: Susanne Saussele
Author: Ingo Roeder
Author: Nicholas Cross ORCID iD
Author: Andreas Hochhaus

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×