BCR-ABL1 Doubling-Times and Halving-Times May Predict CML Response to Tyrosine Kinase Inhibitors
In Chronic Myeloid Leukemia (CML), successful treatment requires accurate molecular monitoring to evaluate disease response and provide timely interventions for patients failing to achieve the desired outcomes. We wanted to determine whether measuring BCR-ABL1 mRNA doubling-times (DTs) could disting...
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Frontiers Media S.A.
2019-08-01
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Series: | Frontiers in Oncology |
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Online Access: | https://www.frontiersin.org/article/10.3389/fonc.2019.00764/full |
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Article |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Maria Stella Pennisi Maria Stella Pennisi Stefania Stella Stefania Stella Silvia Rita Vitale Silvia Rita Vitale Adriana Puma Adriana Puma Sandra Di Gregorio Sandra Di Gregorio Chiara Romano Chiara Romano Elena Tirrò Elena Tirrò Michele Massimino Michele Massimino Agostino Antolino Sergio Siragusa Donato Mannina Stefana Impera Caterina Musolino Giuseppe Mineo Bruno Martino Valentina Zammit Francesco Di Raimondo Francesco Di Raimondo Livia Manzella Livia Manzella Fabio Stagno Paolo Vigneri Paolo Vigneri |
spellingShingle |
Maria Stella Pennisi Maria Stella Pennisi Stefania Stella Stefania Stella Silvia Rita Vitale Silvia Rita Vitale Adriana Puma Adriana Puma Sandra Di Gregorio Sandra Di Gregorio Chiara Romano Chiara Romano Elena Tirrò Elena Tirrò Michele Massimino Michele Massimino Agostino Antolino Sergio Siragusa Donato Mannina Stefana Impera Caterina Musolino Giuseppe Mineo Bruno Martino Valentina Zammit Francesco Di Raimondo Francesco Di Raimondo Livia Manzella Livia Manzella Fabio Stagno Paolo Vigneri Paolo Vigneri BCR-ABL1 Doubling-Times and Halving-Times May Predict CML Response to Tyrosine Kinase Inhibitors Frontiers in Oncology Chronic Myeloid Leukemia doubling-time halving-time tyrosine kinase inhibitors BCR-ABL1/ABL1IS |
author_facet |
Maria Stella Pennisi Maria Stella Pennisi Stefania Stella Stefania Stella Silvia Rita Vitale Silvia Rita Vitale Adriana Puma Adriana Puma Sandra Di Gregorio Sandra Di Gregorio Chiara Romano Chiara Romano Elena Tirrò Elena Tirrò Michele Massimino Michele Massimino Agostino Antolino Sergio Siragusa Donato Mannina Stefana Impera Caterina Musolino Giuseppe Mineo Bruno Martino Valentina Zammit Francesco Di Raimondo Francesco Di Raimondo Livia Manzella Livia Manzella Fabio Stagno Paolo Vigneri Paolo Vigneri |
author_sort |
Maria Stella Pennisi |
title |
BCR-ABL1 Doubling-Times and Halving-Times May Predict CML Response to Tyrosine Kinase Inhibitors |
title_short |
BCR-ABL1 Doubling-Times and Halving-Times May Predict CML Response to Tyrosine Kinase Inhibitors |
title_full |
BCR-ABL1 Doubling-Times and Halving-Times May Predict CML Response to Tyrosine Kinase Inhibitors |
title_fullStr |
BCR-ABL1 Doubling-Times and Halving-Times May Predict CML Response to Tyrosine Kinase Inhibitors |
title_full_unstemmed |
BCR-ABL1 Doubling-Times and Halving-Times May Predict CML Response to Tyrosine Kinase Inhibitors |
title_sort |
bcr-abl1 doubling-times and halving-times may predict cml response to tyrosine kinase inhibitors |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Oncology |
issn |
2234-943X |
publishDate |
2019-08-01 |
description |
In Chronic Myeloid Leukemia (CML), successful treatment requires accurate molecular monitoring to evaluate disease response and provide timely interventions for patients failing to achieve the desired outcomes. We wanted to determine whether measuring BCR-ABL1 mRNA doubling-times (DTs) could distinguish inconsequential rises in the oncogene's expression from resistance to tyrosine kinase inhibitors (TKIs). Thus, we retrospectively examined BCR-ABL1 evolution in 305 chronic-phase CML patients receiving imatinib mesylate (IM) as a first line treatment. Patients were subdivided in two groups: those with a confirmed rise in BCR-ABL1 transcripts without MR3.0 loss and those failing IM. We found that the DTs of the former patients were significantly longer than those of patients developing IM resistance (57.80 vs. 41.45 days, p = 0.0114). Interestingly, the DT values of individuals failing second-generation (2G) TKIs after developing IM resistance were considerably shorter than those observed at the time of IM failure (27.20 vs. 41.45 days; p = 0.0035). We next wanted to establish if decreases in BCR-ABL1 transcripts would identify subjects likely to obtain deep molecular responses. We therefore analyzed the BCR-ABL1 halving-times (HTs) of a different cohort comprising 174 individuals receiving IM in first line and observed that, regardless of the time point selected for our analyses (6, 12, or 18 months), HTs were significantly shorter in subjects achieving superior molecular responses (p = 0.002 at 6 months; p < 0.001 at 12 months; p = 0.0099 at 18 months). Moreover, 50 patients receiving 2G TKIs as first line therapy and obtaining an MR3.0 (after 6 months; p = 0.003) or an MR4.0 (after 12 months; p = 0.019) displayed significantly shorter HTs than individuals lacking these molecular responses. Our findings suggest that BCR-ABL1 DTs and HTs are reliable tools to, respectively, identify subjects in MR3.0 that are failing their assigned TKI or to recognize patients likely to achieve deep molecular responses that should be considered for treatment discontinuation. |
topic |
Chronic Myeloid Leukemia doubling-time halving-time tyrosine kinase inhibitors BCR-ABL1/ABL1IS |
url |
https://www.frontiersin.org/article/10.3389/fonc.2019.00764/full |
work_keys_str_mv |
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doaj-3e56e6cdd1d04b3297ce06df9e7579b62020-11-24T22:20:47ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2019-08-01910.3389/fonc.2019.00764464079BCR-ABL1 Doubling-Times and Halving-Times May Predict CML Response to Tyrosine Kinase InhibitorsMaria Stella Pennisi0Maria Stella Pennisi1Stefania Stella2Stefania Stella3Silvia Rita Vitale4Silvia Rita Vitale5Adriana Puma6Adriana Puma7Sandra Di Gregorio8Sandra Di Gregorio9Chiara Romano10Chiara Romano11Elena Tirrò12Elena Tirrò13Michele Massimino14Michele Massimino15Agostino Antolino16Sergio Siragusa17Donato Mannina18Stefana Impera19Caterina Musolino20Giuseppe Mineo21Bruno Martino22Valentina Zammit23Francesco Di Raimondo24Francesco Di Raimondo25Livia Manzella26Livia Manzella27Fabio Stagno28Paolo Vigneri29Paolo Vigneri30Department of Clinical and Experimental Medicine, University of Catania, Catania, ItalyCenter of Experimental Oncology and Hematology, Azienda Ospedaliera Universitaria (A.O.U.) Policlinico - Vittorio Emanuele, Catania, ItalyDepartment of Clinical and Experimental Medicine, University of Catania, Catania, ItalyCenter of Experimental Oncology and Hematology, Azienda Ospedaliera Universitaria (A.O.U.) Policlinico - Vittorio Emanuele, Catania, ItalyDepartment of Clinical and Experimental Medicine, University of Catania, Catania, ItalyCenter of Experimental Oncology and Hematology, Azienda Ospedaliera Universitaria (A.O.U.) Policlinico - Vittorio Emanuele, Catania, ItalyDepartment of Clinical and Experimental Medicine, University of Catania, Catania, ItalyCenter of Experimental Oncology and Hematology, Azienda Ospedaliera Universitaria (A.O.U.) Policlinico - Vittorio Emanuele, Catania, ItalyDepartment of Clinical and Experimental Medicine, University of Catania, Catania, ItalyCenter of Experimental Oncology and Hematology, Azienda Ospedaliera Universitaria (A.O.U.) Policlinico - Vittorio Emanuele, Catania, ItalyDepartment of Clinical and Experimental Medicine, University of Catania, Catania, ItalyCenter of Experimental Oncology and Hematology, Azienda Ospedaliera Universitaria (A.O.U.) Policlinico - Vittorio Emanuele, Catania, ItalyDepartment of Clinical and Experimental Medicine, University of Catania, Catania, ItalyCenter of Experimental Oncology and Hematology, Azienda Ospedaliera Universitaria (A.O.U.) Policlinico - Vittorio Emanuele, Catania, ItalyDepartment of Clinical and Experimental Medicine, University of Catania, Catania, ItalyCenter of Experimental Oncology and Hematology, Azienda Ospedaliera Universitaria (A.O.U.) Policlinico - Vittorio Emanuele, Catania, ItalyDepartment of Transfusional Medicine, Maria Paternò-Arezzo Hospital, Ragusa, ItalyDivision of Hematology, Azienda Ospedaliera Universitaria (A.O.U.) Policlinico “P. Giaccone”, University of Palermo, Palermo, ItalyDivision of Hematology, Papardo Hospital, Messina, ItalyDivision of Oncology and Hematology, ARNAS Garibaldi-Nesima, Catania, ItalyDivision of Hematology, Azienda Ospedaliera Universitaria (A.O.U.) Policlinico “G. Martino”, University of Messina, Messina, ItalyDivision of Hematology, San Vincenzo Hospital, Taormina, ItalyDivision of Hematology, Grande Ospedale Metropolitano, Reggio Calabria, Italy0Division of Hematology and Bone Marrow Transplant, Azienda Ospedaliera Universitaria (A.O.U.) Policlinico - Vittorio Emanuele, Catania, Italy0Division of Hematology and Bone Marrow Transplant, Azienda Ospedaliera Universitaria (A.O.U.) Policlinico - Vittorio Emanuele, Catania, Italy1Department of Surgery, Medical and Surgical Specialties, University of Catania, Catania, ItalyDepartment of Clinical and Experimental Medicine, University of Catania, Catania, ItalyCenter of Experimental Oncology and Hematology, Azienda Ospedaliera Universitaria (A.O.U.) Policlinico - Vittorio Emanuele, Catania, Italy0Division of Hematology and Bone Marrow Transplant, Azienda Ospedaliera Universitaria (A.O.U.) Policlinico - Vittorio Emanuele, Catania, ItalyDepartment of Clinical and Experimental Medicine, University of Catania, Catania, ItalyCenter of Experimental Oncology and Hematology, Azienda Ospedaliera Universitaria (A.O.U.) Policlinico - Vittorio Emanuele, Catania, ItalyIn Chronic Myeloid Leukemia (CML), successful treatment requires accurate molecular monitoring to evaluate disease response and provide timely interventions for patients failing to achieve the desired outcomes. We wanted to determine whether measuring BCR-ABL1 mRNA doubling-times (DTs) could distinguish inconsequential rises in the oncogene's expression from resistance to tyrosine kinase inhibitors (TKIs). Thus, we retrospectively examined BCR-ABL1 evolution in 305 chronic-phase CML patients receiving imatinib mesylate (IM) as a first line treatment. Patients were subdivided in two groups: those with a confirmed rise in BCR-ABL1 transcripts without MR3.0 loss and those failing IM. We found that the DTs of the former patients were significantly longer than those of patients developing IM resistance (57.80 vs. 41.45 days, p = 0.0114). Interestingly, the DT values of individuals failing second-generation (2G) TKIs after developing IM resistance were considerably shorter than those observed at the time of IM failure (27.20 vs. 41.45 days; p = 0.0035). We next wanted to establish if decreases in BCR-ABL1 transcripts would identify subjects likely to obtain deep molecular responses. We therefore analyzed the BCR-ABL1 halving-times (HTs) of a different cohort comprising 174 individuals receiving IM in first line and observed that, regardless of the time point selected for our analyses (6, 12, or 18 months), HTs were significantly shorter in subjects achieving superior molecular responses (p = 0.002 at 6 months; p < 0.001 at 12 months; p = 0.0099 at 18 months). Moreover, 50 patients receiving 2G TKIs as first line therapy and obtaining an MR3.0 (after 6 months; p = 0.003) or an MR4.0 (after 12 months; p = 0.019) displayed significantly shorter HTs than individuals lacking these molecular responses. Our findings suggest that BCR-ABL1 DTs and HTs are reliable tools to, respectively, identify subjects in MR3.0 that are failing their assigned TKI or to recognize patients likely to achieve deep molecular responses that should be considered for treatment discontinuation.https://www.frontiersin.org/article/10.3389/fonc.2019.00764/fullChronic Myeloid Leukemiadoubling-timehalving-timetyrosine kinase inhibitorsBCR-ABL1/ABL1IS |