TY - JOUR
T1 - Clinical and Genomic-Based Decision Support System to Define the Optimal Timing of Allogeneic Hematopoietic Stem-Cell Transplantation in Patients With Myelodysplastic Syndromes
AU - GenoMed4All, Synthema, GESMD, FISIM, and EuroBloodNET
AU - GenoMed4all and Synthema Consortiums
AU - Tentori, Cristina Astrid
AU - Gregorio, Caterina
AU - Robin, Marie
AU - Gagelmann, Nico
AU - Gurnari, Carmelo
AU - Ball, Somedeb
AU - Caballero Berrocal, Juan Carlos
AU - Lanino, Luca
AU - D'Amico, Saverio
AU - Spreafico, Marta
AU - Maggioni, Giulia
AU - Travaglino, Erica
AU - Sauta, Elisabetta
AU - Meggendorfer, Manja
AU - Zhao, Lin Pierre
AU - Campagna, Alessia
AU - Savevski, Victor
AU - Santoro, Armando
AU - Al Ali, Najla
AU - Sallman, David
AU - Sole, Francesc
AU - Garcia-Manero, Guillermo
AU - Germing, Ulrich
AU - Kroger, Nicolaus
AU - Kordasti, Shahram
AU - Santini, Valeria
AU - Sanz, Guillermo
AU - Kern, Wolfgang
AU - Platzbecker, Uwe
AU - Diez-Campelo, Maria
AU - Maciejewski, Jaroslaw P.
AU - Ades, Lionel
AU - Fenaux, Pierre
AU - Haferlach, Torsten
AU - Zeidan, Amer M.
AU - Castellani, Gastone
AU - Komrokji, Rami
AU - Ieva, Francesca
AU - Della Porta, Matteo Giovanni
N1 - Publisher Copyright:
© 2024 by American Society of Clinical Oncology.
PY - 2024/8/20
Y1 - 2024/8/20
N2 - PURPOSE Allogeneic hematopoietic stem-cell transplantation (HSCT) is the only potentially curative treatment for patients with myelodysplastic syndromes (MDS). Several issues must be considered when evaluating the benefits and risks of HSCT for patients with MDS, with the timing of transplantation being a crucial question. Here, we aimed to develop and validate a decision support system to define the optimal timing of HSCT for patients with MDS on the basis of clinical and genomic information as provided by the Molecular International Prognostic Scoring System (IPSS-M). PATIENTS AND METHODS We studied a retrospective population of 7,118 patients, stratified into training and validation cohorts. A decision strategy was built to estimate the average survival over an 8-year time horizon (restricted mean survival time [RMST]) for each combination of clinical and genomic covariates and to determine the optimal transplantation policy by comparing different strategies. RESULTS Under an IPSS-M based policy, patients with either low and moderate-low risk benefited from a delayed transplantation policy, whereas in those belonging to moderately high-, high- and very high-risk categories, immediate transplantation was associated with a prolonged life expectancy (RMST). Modeling decision analysis on IPSS-M versus conventional Revised IPSS (IPSS-R) changed the transplantation policy in a significant proportion of patients (15% of patient candidate to be immediately transplanted under an IPSS-R-based policy would benefit from a delayed strategy by IPSS-M, whereas 19% of candidates to delayed transplantation by IPSS-R would benefit from immediate HSCT by IPSS-M), resulting in a significant gain-in-life expectancy under an IPSS-M-based policy (P 5.001). CONCLUSION These results provide evidence for the clinical relevance of including genomic features into the transplantation decision making process, allowing personalizing the hazards and effectiveness of HSCT in patients with MDS.
AB - PURPOSE Allogeneic hematopoietic stem-cell transplantation (HSCT) is the only potentially curative treatment for patients with myelodysplastic syndromes (MDS). Several issues must be considered when evaluating the benefits and risks of HSCT for patients with MDS, with the timing of transplantation being a crucial question. Here, we aimed to develop and validate a decision support system to define the optimal timing of HSCT for patients with MDS on the basis of clinical and genomic information as provided by the Molecular International Prognostic Scoring System (IPSS-M). PATIENTS AND METHODS We studied a retrospective population of 7,118 patients, stratified into training and validation cohorts. A decision strategy was built to estimate the average survival over an 8-year time horizon (restricted mean survival time [RMST]) for each combination of clinical and genomic covariates and to determine the optimal transplantation policy by comparing different strategies. RESULTS Under an IPSS-M based policy, patients with either low and moderate-low risk benefited from a delayed transplantation policy, whereas in those belonging to moderately high-, high- and very high-risk categories, immediate transplantation was associated with a prolonged life expectancy (RMST). Modeling decision analysis on IPSS-M versus conventional Revised IPSS (IPSS-R) changed the transplantation policy in a significant proportion of patients (15% of patient candidate to be immediately transplanted under an IPSS-R-based policy would benefit from a delayed strategy by IPSS-M, whereas 19% of candidates to delayed transplantation by IPSS-R would benefit from immediate HSCT by IPSS-M), resulting in a significant gain-in-life expectancy under an IPSS-M-based policy (P 5.001). CONCLUSION These results provide evidence for the clinical relevance of including genomic features into the transplantation decision making process, allowing personalizing the hazards and effectiveness of HSCT in patients with MDS.
UR - http://www.scopus.com/inward/record.url?scp=85201437288&partnerID=8YFLogxK
U2 - 10.1200/JCO.23.02175
DO - 10.1200/JCO.23.02175
M3 - Article
C2 - 38723212
AN - SCOPUS:85201437288
SN - 0732-183X
VL - 42
SP - 2873
EP - 2886
JO - Journal of clinical oncology : official journal of the American Society of Clinical Oncology
JF - Journal of clinical oncology : official journal of the American Society of Clinical Oncology
IS - 24
ER -