Probability of Switch of TKIs Treatment According to Baseline Features in a Large Chronic Myeloid Leukemia (CML) Population: Italian CML Network

Introduction The outcome of CML patients in chronic phase (CP) has deeply changed over time after the introduction of TKIs and life expectancy is near to that of general population. Although the outstanding results obtained, 20-30% of patients still experienced resistance and/or intolerance and need a change of treatment. How to identify those patients at risk of therapeutic switch during treatment remain a matter of discussion. Methods The CML Italian network (including 68 Hematology Centers from 19 Italian regions) prospectively recorded in a dedicated web-based database (https://www.epiclin.it/lmc) the clinical and biological features of all newly diagnosed Italian adult (>18 years) Ph+ CML patients in each phase of disease, diagnosed from January 2013 onwards. All consecutive patients were included, without any exclusion criteria and regardless of their participation in any other clinical trial, to limit the eligibility criteria selection typical of experimental studies. Baseline information included sociodemographic, clinical, and standard laboratory data. For this analysis, patients prospectively collected from 33 centers with updated follow-up data were considered. Fine and Gray multivariable models were used to estimate the adjusted sub hazard ratios (HR) of the first and second change of therapy, considering competitive events. Results 1433 patients (57% males) prospectively enrolled were analyzed: of them, 702 initially treated with imatinib and 731 with second generation TKIs (2gen TKI). ELTS stratification showed 59.4% of patients as low risk, 28% as intermediate and 12% as high risk. The baseline Charlson comorbidity index detected 71% as score 2 and the remaining as score ≥ 3. The median follow-up was 4.6 years with most patients aged 61-70 years (23%). In the whole cohort, 55% of patients presented concomitant comorbidities, with most represented being cardiovascular (CV) in 27% of patients. Two-hundreds and nine patients (14.5%) had cytogenetic aberrations at baseline. In the imatinib treated cohort, 32% of patients were aged 71-80 years and 39% presented CV initial comorbidities. In the 2gen TKI cohort, 56.8% of patients aged between 41 and 60 years received frontline nilotinib or dasatinib with only 15% of them presenting baseline CV comorbidities. The overall survival of the whole cohort at 5 years was 88%. Out of 428 patients who deserve a second line, 212 (49.5%) switched for resistance to 1st line (at 2 years: 18.7% for Imatinib and 8.9% for 2gen TKI). The statistical analysis revealed a hazard ratio (HR) for first switching for resistance of 0.34 (0.25-0.47, p<0.0001) for those starting with a 2gen TKI, a reduction of the risk with increasing age (HR 0.97 per year, 0.96-0.98, p<0.0001), and increased risk for intermediate (1.79, 1.27-2.53, p=0.001) and high ELTS risk (2.87, 1.90-4.34, p<0.0001) compared to low risk. One hundred and forty-three patients (33.5%) switched for intolerance. The analysis showed an increased risk for patients who started with a 2gen TKI (1.90, 1.26-2.84, p=0.002), and a trend for a positive association for females (1.37, 0.98-1.91, p=0.064) and for increasing age (1.1 per year, 0.99-1.03, p=0.056). A second change of treatment was recorded in 119 patients (40% for resistance). Factors predicting a lower risk of resistance were starting with 2gen TKI vs imatinib (0.45, 0.21-0.95, p=0.035), and increasing age (0.96 per year, 0.94-0.98, p<0.0001), while high ELTS risk (3.64, 1-76-7.54, p=0.001) was predictive for a second change. Fifty-five patients changed for intolerance and the analysis revealed a significant reduction in those starting with 2gen TKI vs imatinib (0.48, 0.25-0.93, p=0.030) and high ELTS risk vs low (2.75, 1.33-5.70, p=0.006). Conclusions The results of the analysis showed that the time to first treatment switch for resistance is shorter for younger patients, for those initially treated with imatinib, and for intermediate/high ELTS risks. The risk of switch for intolerance is higher for patients initially treated with 2genTKIs and, possibly, for females and with increasing age. The different factors associated to treatment switch for resistance or intolerance may help physicians and patients to make more informed decisions in the choice of the initial treatment.

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Blood
Published
2024-11-05
DOI
https://doi.org/10.1182/blood-2024-202477
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Chronic Myeloid Leukemia Treatments
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article

Probability of Switch of TKIs Treatment According to Baseline Features in a Large Chronic Myeloid Leukemia (CML) Population: Italian CML Network

Sara Galimberti, Giuseppina Spinosa, Antonella Gozzini, Isabella Capodanno et al.
Blood
Chronic Myeloid Leukemia Treatments
article

Probability of Switch of TKIs Treatment According to Baseline Features in a Large Chronic Myeloid Leukemia (CML) Population: Italian CML Network

Sara Galimberti, Giuseppina Spinosa, Antonella Gozzini, Isabella Capodanno, Fabio Stagno, Gianantonio Rosti, Claudio Fozza, Michele Pizzuti, Olga Mulas, Alessandro Maggi, Giuseppe Pietrantuono, Giuseppe Saglio, Mario Tiribelli, Anna Rita Scortechini, Andrea Patriarca, Grazia Sanpaolo, Maria Teresa Santeramo, Fausto Castagnetti, Giuseppina Loglisci, Elisabetta Calistri, Patrizia Pregno, Giovannino Ciccone, Clara Mannarella, Tiziana Rosso, Fabrizio Pane, Giorgina Specchia, Valentina Giai, Giuseppe Lanzarone, Massimiliano Bonifacio, Luigiana Luciano, Federica Sorà, Anna Guella, Massimo Breccia, Carmen Fava, Eleonora Del Prete, Antonella Russo Rossi, Bruno Martino, Sara Freducci, Maria Laura Di Noi
article en

Abstract

Introduction The outcome of CML patients in chronic phase (CP) has deeply changed over time after the introduction of TKIs and life expectancy is near to that of general population. Although the outstanding results obtained, 20-30% of patients still experienced resistance and/or intolerance and need a change of treatment. How to identify those patients at risk of therapeutic switch during treatment remain a matter of discussion. Methods The CML Italian network (including 68 Hematology Centers from 19 Italian regions) prospectively recorded in a dedicated web-based database (https://www.epiclin.it/lmc) the clinical and biological features of all newly diagnosed Italian adult (>18 years) Ph+ CML patients in each phase of disease, diagnosed from January 2013 onwards. All consecutive patients were included, without any exclusion criteria and regardless of their participation in any other clinical trial, to limit the eligibility criteria selection typical of experimental studies. Baseline information included sociodemographic, clinical, and standard laboratory data. For this analysis, patients prospectively collected from 33 centers with updated follow-up data were considered. Fine and Gray multivariable models were used to estimate the adjusted sub hazard ratios (HR) of the first and second change of therapy, considering competitive events. Results 1433 patients (57% males) prospectively enrolled were analyzed: of them, 702 initially treated with imatinib and 731 with second generation TKIs (2gen TKI). ELTS stratification showed 59.4% of patients as low risk, 28% as intermediate and 12% as high risk. The baseline Charlson comorbidity index detected 71% as score 2 and the remaining as score ≥ 3. The median follow-up was 4.6 years with most patients aged 61-70 years (23%). In the whole cohort, 55% of patients presented concomitant comorbidities, with most represented being cardiovascular (CV) in 27% of patients. Two-hundreds and nine patients (14.5%) had cytogenetic aberrations at baseline. In the imatinib treated cohort, 32% of patients were aged 71-80 years and 39% presented CV initial comorbidities. In the 2gen TKI cohort, 56.8% of patients aged between 41 and 60 years received frontline nilotinib or dasatinib with only 15% of them presenting baseline CV comorbidities. The overall survival of the whole cohort at 5 years was 88%. Out of 428 patients who deserve a second line, 212 (49.5%) switched for resistance to 1st line (at 2 years: 18.7% for Imatinib and 8.9% for 2gen TKI). The statistical analysis revealed a hazard ratio (HR) for first switching for resistance of 0.34 (0.25-0.47, p<0.0001) for those starting with a 2gen TKI, a reduction of the risk with increasing age (HR 0.97 per year, 0.96-0.98, p<0.0001), and increased risk for intermediate (1.79, 1.27-2.53, p=0.001) and high ELTS risk (2.87, 1.90-4.34, p<0.0001) compared to low risk. One hundred and forty-three patients (33.5%) switched for intolerance. The analysis showed an increased risk for patients who started with a 2gen TKI (1.90, 1.26-2.84, p=0.002), and a trend for a positive association for females (1.37, 0.98-1.91, p=0.064) and for increasing age (1.1 per year, 0.99-1.03, p=0.056). A second change of treatment was recorded in 119 patients (40% for resistance). Factors predicting a lower risk of resistance were starting with 2gen TKI vs imatinib (0.45, 0.21-0.95, p=0.035), and increasing age (0.96 per year, 0.94-0.98, p<0.0001), while high ELTS risk (3.64, 1-76-7.54, p=0.001) was predictive for a second change. Fifty-five patients changed for intolerance and the analysis revealed a significant reduction in those starting with 2gen TKI vs imatinib (0.48, 0.25-0.93, p=0.030) and high ELTS risk vs low (2.75, 1.33-5.70, p=0.006). Conclusions The results of the analysis showed that the time to first treatment switch for resistance is shorter for younger patients, for those initially treated with imatinib, and for intermediate/high ELTS risks. The risk of switch for intolerance is higher for patients initially treated with 2genTKIs and, possibly, for females and with increasing age. The different factors associated to treatment switch for resistance or intolerance may help physicians and patients to make more informed decisions in the choice of the initial treatment.

BloodVol. 144(Supplement 1)
University of Siena (IT), University of Pisa (IT), University of Messina (IT), University of Verona (IT), Marche Polytechnic University (IT), Università degli Studi del Piemonte Orientale “Amedeo Avogadro” (IT), University of Udine (IT), University of Sassari (IT), University of Cagliari (IT), Casa Sollievo della Sofferenza (IT), Policlinico Umberto I (IT), Agostino Gemelli University Polyclinic (IT), Azienda Ospedaliera Citta' della Salute e della Scienza di Torino (IT), Ospedale Santa Chiara (IT), Azienda Sanitaria Unità Locale di Reggio Emilia (IT), Ospedali Riuniti di Foggia (IT), Centro di Riferimento Oncologico della Basilicata (IT), Azienda Ospedaliera Universitaria Integrata Verona (IT), Azienda ospedaliera "Bianchi-Melacrino-Morelli" (IT), Ospedale San Carlo (IT), Ospedale A. Perrino (IT), Azienda Ospedaliero Universitaria di Sassari (IT), Ospedale San Giacomo Apostolo (IT), Azienda Ospedaliera S.Giuseppe Moscati (IT), Federico II University Hospital (IT), Ospedale Madonna Delle Grazie (IT), A. O. Ordine Mauriziano di Torino (IT), Azienda Ospedaliera Universitaria Senese (IT), Piedmont Reference Center for Epidemiology and Cancer Prevention (IT), Ospedale Vito Fazzi (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT), University of Florence (IT), University of Turin (IT), University of Bari Aldo Moro (IT), University of Bologna (IT)
Openalex Percentile: Top 63%
Chronic Myeloid Leukemia Treatments
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