Applicability of SIE/Sies/GITMO Fitness Criteria to Therapy-Related and AML-MRC Receiving CPX-351: Results from a Large, Retrospective, Multicentric, Observational Study
Introduction: Treatment of therapy-related AML (t-AML) and AML evolving from an antecedent myelodysplastic syndrome (AML-MRC) represent a clinical unmet need being characterized by an unfavorable outcome. Among the emerging treatment options, CPX-351 has been approved by Regulatory Authorities for t...
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| Veröffentlicht in: | Blood 2023-11, Vol.142 (Supplement 1), p.2891-2891 |
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| creator | Palmieri, Raffaele Guolo, Fabio Fianchi, Luana Ferrara, Felicetto Martelli, Maria Paola Rondoni, Michela Saveria, Capria Minetto, Paola Minotti, Clara Sciabolacci, Sofia Pilo, Federica Perrone, Salvatore Corbingi, Andrea Grimaldi, Francesco De Luca, Giulia Fili, Carla Alati, Caterina Mannelli, Francesco Lessi, Federica Marchesi, Francesco Brunetti, Lorenzo Capelli, Debora Piccioni, Anna Lina Vetro, Calogero Mazzone, Carla Sperotto, Alessandra Luzi, Giovanni Dargenio, Michelina Mariani, Sabrina Cerrano, Marco Mulè, Antonino Di Veroli, Ambra Papayannidis, Cristina Isidori, Alessandro Lanza, Francesco Gottardi, Michele Todisco, Elisabetta Pagano, Livio Lemoli, Roberto Massimo Buccisano, Francesco Venditti, Adriano |
| description | Introduction:
Treatment of therapy-related AML (t-AML) and AML evolving from an antecedent myelodysplastic syndrome (AML-MRC) represent a clinical unmet need being characterized by an unfavorable outcome. Among the emerging treatment options, CPX-351 has been approved by Regulatory Authorities for the treatment of fit patients (pts) affected by these AML sub-types. Although patented for the treatment of pts fit for intensive chemotherapy, in real-life CPX-351 is also administered to unfit ones, raising the case of tolerability in these categories. Among scores for fitness definition, SIE/SIES/GITMO criteria were extensively validated in large cohorts of AML pts receiving intensive chemotherapy and are increasingly incorporated into clinical trials. However, since these criteria have not been tested yet in the subset of t-AML and AML-MRC, we investigated their applicability in these pts receiving CPX-351.
Methods:
Patients classified as t-AML or MRC-AML according to WHO2016 classification receiving at least one cycle of CPX-351 were included in the present analysis. Genetic and cytogenetic data were classified according to ELN2017 risk stratification. SIE/SIES/GITMO criteria were retrospectively applied to the whole series to categorize pts as fit or unfit to intensive chemotherapy (Ferrara et. al, Leukemia 2013), aiming at evaluating early-death rate and overall survival (OS). We also verified if ELN2017 risk-stratification might provide further information about long-term outcome, independently of fitness assessment.
Results:
This retrospective study includes 398 pts with t-AML (19.3%) or AML-MRC (80.7%) enrolled from 29 Italian Institutions between 2018 and 2023. Median age was 65 years (range 32-79), with a slight male prevalence (56.8%).
According to SIE/SIES/GITMO criteria, 323 (81.2%) pts qualified as fit and 75 (18.8%) as unfit. Based on ELN2017 risk stratification, 17 (4.3%) pts were classified as favorable, 162 (40.7%) as intermediate, 217 (54.5%) as adverse risk. Only 2 (0.5%) pts were not classifiable due to incomplete genetic data. No differences were observed in terms of ELN2017 risk distribution among the fit and unfit groups. After first induction, 188 of 323 (58.2%) fit and 42 of 75 (56%) unfit pts achieved a complete remission (CR), for a total of 230 (57.8%) pts entering CR. From CPX-351 start, 18 and 55 deaths at 28 days and at 100 days occurred, respectively. Early death rate at these early timepoints statistically differed between the |
| doi_str_mv | 10.1182/blood-2023-181142 |
| format | Article |
| fullrecord | <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_1182_blood_2023_181142</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_1182_blood_2023_181142</sourcerecordid><originalsourceid>FETCH-LOGICAL-c852-9e66c7c240ad68daca02e5b901a02d9f48b021db73f8fe5a06984b6d010b07c73</originalsourceid><addsrcrecordid>eNotkN1OwjAUxxujiYg-gHd9ACqn3bd3ZEEkgWCAC--Wrj3DmrEtbSHZI_mWDvHq_5F_Tk5-hDxzeOE8FdOyblvNBIiA8ZTzUNyQEY9EygAE3JIRAMQszBJ-Tx6c-wbgYSCiEfmZdV1tlCxNbXxP24rulvPpzqCbLpb79Ya-Gd-gczS3xqM1kvqW7r_Qyq5nW6ylR01lo-lsvWLrbU63qNCcTXOg-ccnCyL-OlTuVHtHK9seqaQraQ84GVpvW9eh8uY8xPUwMQobb42a0E3p0J6lN20ja7rzJ90_krtK1g6f_nVM9m_zff7OVpvFMp-tmEojwTKMY5UoEYLUcaqlkiAwKjPgg9FZFaYlCK7LJKjSCiMJcZaGZayBQwmJSoIx4dezavjOWayKzpqjtH3BobigLv5QFxfUxRV18AtmTnOs</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Applicability of SIE/Sies/GITMO Fitness Criteria to Therapy-Related and AML-MRC Receiving CPX-351: Results from a Large, Retrospective, Multicentric, Observational Study</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Alma/SFX Local Collection</source><creator>Palmieri, Raffaele ; Guolo, Fabio ; Fianchi, Luana ; Ferrara, Felicetto ; Martelli, Maria Paola ; Rondoni, Michela ; Saveria, Capria ; Minetto, Paola ; Minotti, Clara ; Sciabolacci, Sofia ; Pilo, Federica ; Perrone, Salvatore ; Corbingi, Andrea ; Grimaldi, Francesco ; De Luca, Giulia ; Fili, Carla ; Alati, Caterina ; Mannelli, Francesco ; Lessi, Federica ; Marchesi, Francesco ; Brunetti, Lorenzo ; Capelli, Debora ; Piccioni, Anna Lina ; Vetro, Calogero ; Mazzone, Carla ; Sperotto, Alessandra ; Luzi, Giovanni ; Dargenio, Michelina ; Mariani, Sabrina ; Cerrano, Marco ; Mulè, Antonino ; Di Veroli, Ambra ; Papayannidis, Cristina ; Isidori, Alessandro ; Lanza, Francesco ; Gottardi, Michele ; Todisco, Elisabetta ; Pagano, Livio ; Lemoli, Roberto Massimo ; Buccisano, Francesco ; Venditti, Adriano</creator><creatorcontrib>Palmieri, Raffaele ; Guolo, Fabio ; Fianchi, Luana ; Ferrara, Felicetto ; Martelli, Maria Paola ; Rondoni, Michela ; Saveria, Capria ; Minetto, Paola ; Minotti, Clara ; Sciabolacci, Sofia ; Pilo, Federica ; Perrone, Salvatore ; Corbingi, Andrea ; Grimaldi, Francesco ; De Luca, Giulia ; Fili, Carla ; Alati, Caterina ; Mannelli, Francesco ; Lessi, Federica ; Marchesi, Francesco ; Brunetti, Lorenzo ; Capelli, Debora ; Piccioni, Anna Lina ; Vetro, Calogero ; Mazzone, Carla ; Sperotto, Alessandra ; Luzi, Giovanni ; Dargenio, Michelina ; Mariani, Sabrina ; Cerrano, Marco ; Mulè, Antonino ; Di Veroli, Ambra ; Papayannidis, Cristina ; Isidori, Alessandro ; Lanza, Francesco ; Gottardi, Michele ; Todisco, Elisabetta ; Pagano, Livio ; Lemoli, Roberto Massimo ; Buccisano, Francesco ; Venditti, Adriano</creatorcontrib><description>Introduction:
Treatment of therapy-related AML (t-AML) and AML evolving from an antecedent myelodysplastic syndrome (AML-MRC) represent a clinical unmet need being characterized by an unfavorable outcome. Among the emerging treatment options, CPX-351 has been approved by Regulatory Authorities for the treatment of fit patients (pts) affected by these AML sub-types. Although patented for the treatment of pts fit for intensive chemotherapy, in real-life CPX-351 is also administered to unfit ones, raising the case of tolerability in these categories. Among scores for fitness definition, SIE/SIES/GITMO criteria were extensively validated in large cohorts of AML pts receiving intensive chemotherapy and are increasingly incorporated into clinical trials. However, since these criteria have not been tested yet in the subset of t-AML and AML-MRC, we investigated their applicability in these pts receiving CPX-351.
Methods:
Patients classified as t-AML or MRC-AML according to WHO2016 classification receiving at least one cycle of CPX-351 were included in the present analysis. Genetic and cytogenetic data were classified according to ELN2017 risk stratification. SIE/SIES/GITMO criteria were retrospectively applied to the whole series to categorize pts as fit or unfit to intensive chemotherapy (Ferrara et. al, Leukemia 2013), aiming at evaluating early-death rate and overall survival (OS). We also verified if ELN2017 risk-stratification might provide further information about long-term outcome, independently of fitness assessment.
Results:
This retrospective study includes 398 pts with t-AML (19.3%) or AML-MRC (80.7%) enrolled from 29 Italian Institutions between 2018 and 2023. Median age was 65 years (range 32-79), with a slight male prevalence (56.8%).
According to SIE/SIES/GITMO criteria, 323 (81.2%) pts qualified as fit and 75 (18.8%) as unfit. Based on ELN2017 risk stratification, 17 (4.3%) pts were classified as favorable, 162 (40.7%) as intermediate, 217 (54.5%) as adverse risk. Only 2 (0.5%) pts were not classifiable due to incomplete genetic data. No differences were observed in terms of ELN2017 risk distribution among the fit and unfit groups. After first induction, 188 of 323 (58.2%) fit and 42 of 75 (56%) unfit pts achieved a complete remission (CR), for a total of 230 (57.8%) pts entering CR. From CPX-351 start, 18 and 55 deaths at 28 days and at 100 days occurred, respectively. Early death rate at these early timepoints statistically differed between the two groups (3% vs. 10.7% at 28 days and 10% vs. 28% at 100 days for fit and unfit pts respectively; p<0.05). No excess of mortality was observed for unfit patients at any timepoint after 100 days from first CPX-351 induction. Competitive risk analyses showed no differences in terms of early death by relapse between the two groups.
With a median follow up of 24 months, unfit pts were characterized by a significantly shorter OS as compared to fit ones (median OS of 8 months [CI 95%: 4.1-11.8] and of 18 months [CI 95%: 14.7-21.1] for unfit and fit pts, respectively; p<0.0001) [Figure 1]. When stratified according to genetic/cytogenetic, median OS of fit pts was commensurate with ELN2017 risk (median OS not reached vs 20 months vs 13 months for favorable vs intermediate vs adverse risk, respectively; p < 0.01), whereas no differences in median OS were observed between favorable, intermediate, and adverse categories in unfit pts (median OS of 20 months vs 11 months vs 7 months, respectively; p=NS).
Conclusions:
In our real-life analysis, we demonstrated that fitness assessment according to SIE/SIES/GITMO criteria identifies populations with discrete outcome among t-AML and AML-MRC pts receiving CPX-351. In unfit patients, outcome prediction seems independent from ELN 2017 risk stratification. Fit and unfit groups achieved similar CR rates but different long-term OS. Such discrepancy can be justified by the higher early mortality observed among unfit pts that translated into shorter long-term survival. In a future perspective, modulating CPX-351 schedule in this group may be a reasonable option to spare toxicity without giving up the opportunity to deliver curative-intended therapies.</description><identifier>ISSN: 0006-4971</identifier><identifier>EISSN: 1528-0020</identifier><identifier>DOI: 10.1182/blood-2023-181142</identifier><language>eng</language><ispartof>Blood, 2023-11, Vol.142 (Supplement 1), p.2891-2891</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Palmieri, Raffaele</creatorcontrib><creatorcontrib>Guolo, Fabio</creatorcontrib><creatorcontrib>Fianchi, Luana</creatorcontrib><creatorcontrib>Ferrara, Felicetto</creatorcontrib><creatorcontrib>Martelli, Maria Paola</creatorcontrib><creatorcontrib>Rondoni, Michela</creatorcontrib><creatorcontrib>Saveria, Capria</creatorcontrib><creatorcontrib>Minetto, Paola</creatorcontrib><creatorcontrib>Minotti, Clara</creatorcontrib><creatorcontrib>Sciabolacci, Sofia</creatorcontrib><creatorcontrib>Pilo, Federica</creatorcontrib><creatorcontrib>Perrone, Salvatore</creatorcontrib><creatorcontrib>Corbingi, Andrea</creatorcontrib><creatorcontrib>Grimaldi, Francesco</creatorcontrib><creatorcontrib>De Luca, Giulia</creatorcontrib><creatorcontrib>Fili, Carla</creatorcontrib><creatorcontrib>Alati, Caterina</creatorcontrib><creatorcontrib>Mannelli, Francesco</creatorcontrib><creatorcontrib>Lessi, Federica</creatorcontrib><creatorcontrib>Marchesi, Francesco</creatorcontrib><creatorcontrib>Brunetti, Lorenzo</creatorcontrib><creatorcontrib>Capelli, Debora</creatorcontrib><creatorcontrib>Piccioni, Anna Lina</creatorcontrib><creatorcontrib>Vetro, Calogero</creatorcontrib><creatorcontrib>Mazzone, Carla</creatorcontrib><creatorcontrib>Sperotto, Alessandra</creatorcontrib><creatorcontrib>Luzi, Giovanni</creatorcontrib><creatorcontrib>Dargenio, Michelina</creatorcontrib><creatorcontrib>Mariani, Sabrina</creatorcontrib><creatorcontrib>Cerrano, Marco</creatorcontrib><creatorcontrib>Mulè, Antonino</creatorcontrib><creatorcontrib>Di Veroli, Ambra</creatorcontrib><creatorcontrib>Papayannidis, Cristina</creatorcontrib><creatorcontrib>Isidori, Alessandro</creatorcontrib><creatorcontrib>Lanza, Francesco</creatorcontrib><creatorcontrib>Gottardi, Michele</creatorcontrib><creatorcontrib>Todisco, Elisabetta</creatorcontrib><creatorcontrib>Pagano, Livio</creatorcontrib><creatorcontrib>Lemoli, Roberto Massimo</creatorcontrib><creatorcontrib>Buccisano, Francesco</creatorcontrib><creatorcontrib>Venditti, Adriano</creatorcontrib><title>Applicability of SIE/Sies/GITMO Fitness Criteria to Therapy-Related and AML-MRC Receiving CPX-351: Results from a Large, Retrospective, Multicentric, Observational Study</title><title>Blood</title><description>Introduction:
Treatment of therapy-related AML (t-AML) and AML evolving from an antecedent myelodysplastic syndrome (AML-MRC) represent a clinical unmet need being characterized by an unfavorable outcome. Among the emerging treatment options, CPX-351 has been approved by Regulatory Authorities for the treatment of fit patients (pts) affected by these AML sub-types. Although patented for the treatment of pts fit for intensive chemotherapy, in real-life CPX-351 is also administered to unfit ones, raising the case of tolerability in these categories. Among scores for fitness definition, SIE/SIES/GITMO criteria were extensively validated in large cohorts of AML pts receiving intensive chemotherapy and are increasingly incorporated into clinical trials. However, since these criteria have not been tested yet in the subset of t-AML and AML-MRC, we investigated their applicability in these pts receiving CPX-351.
Methods:
Patients classified as t-AML or MRC-AML according to WHO2016 classification receiving at least one cycle of CPX-351 were included in the present analysis. Genetic and cytogenetic data were classified according to ELN2017 risk stratification. SIE/SIES/GITMO criteria were retrospectively applied to the whole series to categorize pts as fit or unfit to intensive chemotherapy (Ferrara et. al, Leukemia 2013), aiming at evaluating early-death rate and overall survival (OS). We also verified if ELN2017 risk-stratification might provide further information about long-term outcome, independently of fitness assessment.
Results:
This retrospective study includes 398 pts with t-AML (19.3%) or AML-MRC (80.7%) enrolled from 29 Italian Institutions between 2018 and 2023. Median age was 65 years (range 32-79), with a slight male prevalence (56.8%).
According to SIE/SIES/GITMO criteria, 323 (81.2%) pts qualified as fit and 75 (18.8%) as unfit. Based on ELN2017 risk stratification, 17 (4.3%) pts were classified as favorable, 162 (40.7%) as intermediate, 217 (54.5%) as adverse risk. Only 2 (0.5%) pts were not classifiable due to incomplete genetic data. No differences were observed in terms of ELN2017 risk distribution among the fit and unfit groups. After first induction, 188 of 323 (58.2%) fit and 42 of 75 (56%) unfit pts achieved a complete remission (CR), for a total of 230 (57.8%) pts entering CR. From CPX-351 start, 18 and 55 deaths at 28 days and at 100 days occurred, respectively. Early death rate at these early timepoints statistically differed between the two groups (3% vs. 10.7% at 28 days and 10% vs. 28% at 100 days for fit and unfit pts respectively; p<0.05). No excess of mortality was observed for unfit patients at any timepoint after 100 days from first CPX-351 induction. Competitive risk analyses showed no differences in terms of early death by relapse between the two groups.
With a median follow up of 24 months, unfit pts were characterized by a significantly shorter OS as compared to fit ones (median OS of 8 months [CI 95%: 4.1-11.8] and of 18 months [CI 95%: 14.7-21.1] for unfit and fit pts, respectively; p<0.0001) [Figure 1]. When stratified according to genetic/cytogenetic, median OS of fit pts was commensurate with ELN2017 risk (median OS not reached vs 20 months vs 13 months for favorable vs intermediate vs adverse risk, respectively; p < 0.01), whereas no differences in median OS were observed between favorable, intermediate, and adverse categories in unfit pts (median OS of 20 months vs 11 months vs 7 months, respectively; p=NS).
Conclusions:
In our real-life analysis, we demonstrated that fitness assessment according to SIE/SIES/GITMO criteria identifies populations with discrete outcome among t-AML and AML-MRC pts receiving CPX-351. In unfit patients, outcome prediction seems independent from ELN 2017 risk stratification. Fit and unfit groups achieved similar CR rates but different long-term OS. Such discrepancy can be justified by the higher early mortality observed among unfit pts that translated into shorter long-term survival. In a future perspective, modulating CPX-351 schedule in this group may be a reasonable option to spare toxicity without giving up the opportunity to deliver curative-intended therapies.</description><issn>0006-4971</issn><issn>1528-0020</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNotkN1OwjAUxxujiYg-gHd9ACqn3bd3ZEEkgWCAC--Wrj3DmrEtbSHZI_mWDvHq_5F_Tk5-hDxzeOE8FdOyblvNBIiA8ZTzUNyQEY9EygAE3JIRAMQszBJ-Tx6c-wbgYSCiEfmZdV1tlCxNbXxP24rulvPpzqCbLpb79Ya-Gd-gczS3xqM1kvqW7r_Qyq5nW6ylR01lo-lsvWLrbU63qNCcTXOg-ccnCyL-OlTuVHtHK9seqaQraQ84GVpvW9eh8uY8xPUwMQobb42a0E3p0J6lN20ja7rzJ90_krtK1g6f_nVM9m_zff7OVpvFMp-tmEojwTKMY5UoEYLUcaqlkiAwKjPgg9FZFaYlCK7LJKjSCiMJcZaGZayBQwmJSoIx4dezavjOWayKzpqjtH3BobigLv5QFxfUxRV18AtmTnOs</recordid><startdate>20231102</startdate><enddate>20231102</enddate><creator>Palmieri, Raffaele</creator><creator>Guolo, Fabio</creator><creator>Fianchi, Luana</creator><creator>Ferrara, Felicetto</creator><creator>Martelli, Maria Paola</creator><creator>Rondoni, Michela</creator><creator>Saveria, Capria</creator><creator>Minetto, Paola</creator><creator>Minotti, Clara</creator><creator>Sciabolacci, Sofia</creator><creator>Pilo, Federica</creator><creator>Perrone, Salvatore</creator><creator>Corbingi, Andrea</creator><creator>Grimaldi, Francesco</creator><creator>De Luca, Giulia</creator><creator>Fili, Carla</creator><creator>Alati, Caterina</creator><creator>Mannelli, Francesco</creator><creator>Lessi, Federica</creator><creator>Marchesi, Francesco</creator><creator>Brunetti, Lorenzo</creator><creator>Capelli, Debora</creator><creator>Piccioni, Anna Lina</creator><creator>Vetro, Calogero</creator><creator>Mazzone, Carla</creator><creator>Sperotto, Alessandra</creator><creator>Luzi, Giovanni</creator><creator>Dargenio, Michelina</creator><creator>Mariani, Sabrina</creator><creator>Cerrano, Marco</creator><creator>Mulè, Antonino</creator><creator>Di Veroli, Ambra</creator><creator>Papayannidis, Cristina</creator><creator>Isidori, Alessandro</creator><creator>Lanza, Francesco</creator><creator>Gottardi, Michele</creator><creator>Todisco, Elisabetta</creator><creator>Pagano, Livio</creator><creator>Lemoli, Roberto Massimo</creator><creator>Buccisano, Francesco</creator><creator>Venditti, Adriano</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20231102</creationdate><title>Applicability of SIE/Sies/GITMO Fitness Criteria to Therapy-Related and AML-MRC Receiving CPX-351: Results from a Large, Retrospective, Multicentric, Observational Study</title><author>Palmieri, Raffaele ; Guolo, Fabio ; Fianchi, Luana ; Ferrara, Felicetto ; Martelli, Maria Paola ; Rondoni, Michela ; Saveria, Capria ; Minetto, Paola ; Minotti, Clara ; Sciabolacci, Sofia ; Pilo, Federica ; Perrone, Salvatore ; Corbingi, Andrea ; Grimaldi, Francesco ; De Luca, Giulia ; Fili, Carla ; Alati, Caterina ; Mannelli, Francesco ; Lessi, Federica ; Marchesi, Francesco ; Brunetti, Lorenzo ; Capelli, Debora ; Piccioni, Anna Lina ; Vetro, Calogero ; Mazzone, Carla ; Sperotto, Alessandra ; Luzi, Giovanni ; Dargenio, Michelina ; Mariani, Sabrina ; Cerrano, Marco ; Mulè, Antonino ; Di Veroli, Ambra ; Papayannidis, Cristina ; Isidori, Alessandro ; Lanza, Francesco ; Gottardi, Michele ; Todisco, Elisabetta ; Pagano, Livio ; Lemoli, Roberto Massimo ; Buccisano, Francesco ; Venditti, Adriano</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c852-9e66c7c240ad68daca02e5b901a02d9f48b021db73f8fe5a06984b6d010b07c73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Palmieri, Raffaele</creatorcontrib><creatorcontrib>Guolo, Fabio</creatorcontrib><creatorcontrib>Fianchi, Luana</creatorcontrib><creatorcontrib>Ferrara, Felicetto</creatorcontrib><creatorcontrib>Martelli, Maria Paola</creatorcontrib><creatorcontrib>Rondoni, Michela</creatorcontrib><creatorcontrib>Saveria, Capria</creatorcontrib><creatorcontrib>Minetto, Paola</creatorcontrib><creatorcontrib>Minotti, Clara</creatorcontrib><creatorcontrib>Sciabolacci, Sofia</creatorcontrib><creatorcontrib>Pilo, Federica</creatorcontrib><creatorcontrib>Perrone, Salvatore</creatorcontrib><creatorcontrib>Corbingi, Andrea</creatorcontrib><creatorcontrib>Grimaldi, Francesco</creatorcontrib><creatorcontrib>De Luca, Giulia</creatorcontrib><creatorcontrib>Fili, Carla</creatorcontrib><creatorcontrib>Alati, Caterina</creatorcontrib><creatorcontrib>Mannelli, Francesco</creatorcontrib><creatorcontrib>Lessi, Federica</creatorcontrib><creatorcontrib>Marchesi, Francesco</creatorcontrib><creatorcontrib>Brunetti, Lorenzo</creatorcontrib><creatorcontrib>Capelli, Debora</creatorcontrib><creatorcontrib>Piccioni, Anna Lina</creatorcontrib><creatorcontrib>Vetro, Calogero</creatorcontrib><creatorcontrib>Mazzone, Carla</creatorcontrib><creatorcontrib>Sperotto, Alessandra</creatorcontrib><creatorcontrib>Luzi, Giovanni</creatorcontrib><creatorcontrib>Dargenio, Michelina</creatorcontrib><creatorcontrib>Mariani, Sabrina</creatorcontrib><creatorcontrib>Cerrano, Marco</creatorcontrib><creatorcontrib>Mulè, Antonino</creatorcontrib><creatorcontrib>Di Veroli, Ambra</creatorcontrib><creatorcontrib>Papayannidis, Cristina</creatorcontrib><creatorcontrib>Isidori, Alessandro</creatorcontrib><creatorcontrib>Lanza, Francesco</creatorcontrib><creatorcontrib>Gottardi, Michele</creatorcontrib><creatorcontrib>Todisco, Elisabetta</creatorcontrib><creatorcontrib>Pagano, Livio</creatorcontrib><creatorcontrib>Lemoli, Roberto Massimo</creatorcontrib><creatorcontrib>Buccisano, Francesco</creatorcontrib><creatorcontrib>Venditti, Adriano</creatorcontrib><collection>CrossRef</collection><jtitle>Blood</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Palmieri, Raffaele</au><au>Guolo, Fabio</au><au>Fianchi, Luana</au><au>Ferrara, Felicetto</au><au>Martelli, Maria Paola</au><au>Rondoni, Michela</au><au>Saveria, Capria</au><au>Minetto, Paola</au><au>Minotti, Clara</au><au>Sciabolacci, Sofia</au><au>Pilo, Federica</au><au>Perrone, Salvatore</au><au>Corbingi, Andrea</au><au>Grimaldi, Francesco</au><au>De Luca, Giulia</au><au>Fili, Carla</au><au>Alati, Caterina</au><au>Mannelli, Francesco</au><au>Lessi, Federica</au><au>Marchesi, Francesco</au><au>Brunetti, Lorenzo</au><au>Capelli, Debora</au><au>Piccioni, Anna Lina</au><au>Vetro, Calogero</au><au>Mazzone, Carla</au><au>Sperotto, Alessandra</au><au>Luzi, Giovanni</au><au>Dargenio, Michelina</au><au>Mariani, Sabrina</au><au>Cerrano, Marco</au><au>Mulè, Antonino</au><au>Di Veroli, Ambra</au><au>Papayannidis, Cristina</au><au>Isidori, Alessandro</au><au>Lanza, Francesco</au><au>Gottardi, Michele</au><au>Todisco, Elisabetta</au><au>Pagano, Livio</au><au>Lemoli, Roberto Massimo</au><au>Buccisano, Francesco</au><au>Venditti, Adriano</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Applicability of SIE/Sies/GITMO Fitness Criteria to Therapy-Related and AML-MRC Receiving CPX-351: Results from a Large, Retrospective, Multicentric, Observational Study</atitle><jtitle>Blood</jtitle><date>2023-11-02</date><risdate>2023</risdate><volume>142</volume><issue>Supplement 1</issue><spage>2891</spage><epage>2891</epage><pages>2891-2891</pages><issn>0006-4971</issn><eissn>1528-0020</eissn><abstract>Introduction:
Treatment of therapy-related AML (t-AML) and AML evolving from an antecedent myelodysplastic syndrome (AML-MRC) represent a clinical unmet need being characterized by an unfavorable outcome. Among the emerging treatment options, CPX-351 has been approved by Regulatory Authorities for the treatment of fit patients (pts) affected by these AML sub-types. Although patented for the treatment of pts fit for intensive chemotherapy, in real-life CPX-351 is also administered to unfit ones, raising the case of tolerability in these categories. Among scores for fitness definition, SIE/SIES/GITMO criteria were extensively validated in large cohorts of AML pts receiving intensive chemotherapy and are increasingly incorporated into clinical trials. However, since these criteria have not been tested yet in the subset of t-AML and AML-MRC, we investigated their applicability in these pts receiving CPX-351.
Methods:
Patients classified as t-AML or MRC-AML according to WHO2016 classification receiving at least one cycle of CPX-351 were included in the present analysis. Genetic and cytogenetic data were classified according to ELN2017 risk stratification. SIE/SIES/GITMO criteria were retrospectively applied to the whole series to categorize pts as fit or unfit to intensive chemotherapy (Ferrara et. al, Leukemia 2013), aiming at evaluating early-death rate and overall survival (OS). We also verified if ELN2017 risk-stratification might provide further information about long-term outcome, independently of fitness assessment.
Results:
This retrospective study includes 398 pts with t-AML (19.3%) or AML-MRC (80.7%) enrolled from 29 Italian Institutions between 2018 and 2023. Median age was 65 years (range 32-79), with a slight male prevalence (56.8%).
According to SIE/SIES/GITMO criteria, 323 (81.2%) pts qualified as fit and 75 (18.8%) as unfit. Based on ELN2017 risk stratification, 17 (4.3%) pts were classified as favorable, 162 (40.7%) as intermediate, 217 (54.5%) as adverse risk. Only 2 (0.5%) pts were not classifiable due to incomplete genetic data. No differences were observed in terms of ELN2017 risk distribution among the fit and unfit groups. After first induction, 188 of 323 (58.2%) fit and 42 of 75 (56%) unfit pts achieved a complete remission (CR), for a total of 230 (57.8%) pts entering CR. From CPX-351 start, 18 and 55 deaths at 28 days and at 100 days occurred, respectively. Early death rate at these early timepoints statistically differed between the two groups (3% vs. 10.7% at 28 days and 10% vs. 28% at 100 days for fit and unfit pts respectively; p<0.05). No excess of mortality was observed for unfit patients at any timepoint after 100 days from first CPX-351 induction. Competitive risk analyses showed no differences in terms of early death by relapse between the two groups.
With a median follow up of 24 months, unfit pts were characterized by a significantly shorter OS as compared to fit ones (median OS of 8 months [CI 95%: 4.1-11.8] and of 18 months [CI 95%: 14.7-21.1] for unfit and fit pts, respectively; p<0.0001) [Figure 1]. When stratified according to genetic/cytogenetic, median OS of fit pts was commensurate with ELN2017 risk (median OS not reached vs 20 months vs 13 months for favorable vs intermediate vs adverse risk, respectively; p < 0.01), whereas no differences in median OS were observed between favorable, intermediate, and adverse categories in unfit pts (median OS of 20 months vs 11 months vs 7 months, respectively; p=NS).
Conclusions:
In our real-life analysis, we demonstrated that fitness assessment according to SIE/SIES/GITMO criteria identifies populations with discrete outcome among t-AML and AML-MRC pts receiving CPX-351. In unfit patients, outcome prediction seems independent from ELN 2017 risk stratification. Fit and unfit groups achieved similar CR rates but different long-term OS. Such discrepancy can be justified by the higher early mortality observed among unfit pts that translated into shorter long-term survival. In a future perspective, modulating CPX-351 schedule in this group may be a reasonable option to spare toxicity without giving up the opportunity to deliver curative-intended therapies.</abstract><doi>10.1182/blood-2023-181142</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| language | eng |
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| title | Applicability of SIE/Sies/GITMO Fitness Criteria to Therapy-Related and AML-MRC Receiving CPX-351: Results from a Large, Retrospective, Multicentric, Observational Study |
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