Molecular-Based Ecosystem to Improve Personalized Medicine in Chronic Myelomonocytic Leukemia

Molecular information improves CMML classification and prognostication, supports more effective clinical decision making, and potentially refines the design of clinical trials.

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Publication Details

Journal
Journal of Clinical Oncology
Published
2026-03-27
DOI
https://doi.org/10.1200/jco-25-02116
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
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article

Molecular-Based Ecosystem to Improve Personalized Medicine in Chronic Myelomonocytic Leukemia

Yu‐Hung Wang, Alessandra Crespi, Cesare Rollo, Raphaël Itzykson et al.
Journal of Clinical Oncology
Acute Myeloid Leukemia Research
article

Molecular-Based Ecosystem to Improve Personalized Medicine in Chronic Myelomonocytic Leukemia

Yu‐Hung Wang, Alessandra Crespi, Cesare Rollo, Raphaël Itzykson, Gregorio Maria Bergonzi, Tiziana Sanavia, M. T. Voso, David Quintela, Ilaria Carola Casetti, Anthony Michael Hunter, Alessia Campagna, M. Patnaik, Éric Solary, Elisa Diral, Angela Consagra, Erica Travaglino, B. Xicoy, Lurdes López Zamora, Matteo Brindisi, Claudia Sala, U Platzbecker, Manja Meggendorfer, Eric Padron, Cristina Astrid Tentori, Ali Alsugair, F. Ieva, G. F. Sanz, Wolfgang Kern, Michael Robert Savona, Francesc Gessé Solé, Laëtitia Souchet, N. Kroger, Marisa Calabuig, Jennifer VanOudenhove, Francesco Pesce, Gabriele Todisco, Elizabeth A. Griffiths, Alexandre Bazinet, Massimo Bernardi, S. Kordasti, Carlo Finelli, Marta Ubezio, Luciana Carota, M. Robin, Hussein Awada, Giulia Maggioni, Andrés Jerez, Luca Lanino, Verónica Roldán, Lorenzo Dall'Olio, Saubia Fathima, Alice Flamigni, Mattia Delleani, Lee-Yung Shih, Paloma García Martín, Claude Eric Bulabois, Estefania Cerezo Velasco, Elena Cornejo, Rafael Bejar, Lorenza Borin, Hwei-Fang Tien, Dolly Viviana Fiallo Suarez, Ahmad Kiwan, Alessandro Bruseghini, Eleonora Iascone, Anne Sophie Platzbecker, Antonio Curti, María Díez-Campelo, Caterina Gregorio, Klaus Geissler, Daniele Dall'Olio, Matilde Yung Follo, Marina Díaz-Beyá, Michaela Fontenay (405448), Elisabetta Sauta, Antonio Russo, Tamanna Haque, Najla H. Al Ali, Laura Palomo, Matteo Giovanni Della Porta, Maria Di Matteo, Armando Santoro, Giulia Figini, Francesco Passamonti, Denise Ventura, David A. Sallman, Omar Abdel-Wahab, Gianluca Asti, Camilla Delponte, Valeria Santini, Vladan Vucinic, Pierre Fenaux, Felicitas Thol, Guillermo Garcia-Manero, Alejandro Avendano Pita, Ulrich Germing, Patrizia Chiusolo, Esperanza Such, Ayalew Tefferi, Carmelo Gurnari, Timothy A. Graubert, Swapna Thota, Francesca Ficara, Guillermo Montalban-Bravo, Laura Crisafulli, Alex Bataller, Piero Fariselli, Wen-Chien Chou, Francesco Onida, Nicole Pinocchio, Luisa Giaccone, Ivan Ferrari, for the iCPSS Alliance, Chi-Yuan Yao, Lisa Pleyer, Gastone Castellani, Hsin-An Hou, Alessandro Buizza, Torsten Haferlach, Matteo Zampini, Cristina Castilla-Llorente, Jaroslaw Maciejewski, Saverio D'Amico, Amer M. Zeidan, Elena Riva, Nico Gagelmann, Mirco Quintavalla, Rami S. Komrokji, Chien-Chin Lin
article en

Abstract

Molecular information improves CMML classification and prognostication, supports more effective clinical decision making, and potentially refines the design of clinical trials.

Journal of Clinical Oncology
University of Rome Tor Vergata (IT), Marche Polytechnic University (IT), Universitat Autònoma de Barcelona (ES), Guy's Hospital (GB), Cleveland Clinic (US), Humanitas University (IT), The University of Texas MD Anderson Cancer Center (US), Emory University (US), Inserm (FR), Universität Hamburg (DE), Stockholm University (SE), National Taiwan University (TW), Chang Gung University (TW), King's College London (GB), Vanderbilt University (US), Université Paris Cité (FR), Paracelsus Medical University (AT), Institut Gustave Roussy (FR), Karolinska Institutet (SE), Hospital Universitari i Politècnic La Fe (ES), Moffitt Cancer Center (US), Chang Gung Memorial Hospital (TW), Yale University (US), Medizinische Hochschule Hannover (DE), University of California San Diego (US), Josep Carreras Leukaemia Research Institute (ES), Sorbonne Paris Cité (FR), Hôpital Cochin (FR), Munich Leukemia Laboratory (Germany) (DE), IRCCS Azienda Ospedliero-Universitaria di Bologna Policlinico di Sant'Orsola (IT), Assistance Publique – Hôpitaux de Paris (FR), Complejo Hospitalario de Salamanca (ES), University Medical Center Hamburg-Eppendorf (DE), Azienda Ospedaliero-Universitaria Careggi (IT), Human Technopole (IT), Azienda USL di Bologna (IT), Mayo Clinic in Arizona (US), Torino e-district (IT), Department of Medical Sciences (BY), National Taiwan University Hospital (TW), Institut Cochin (FR), Hôpital Saint-Louis (FR), University Hospital Carl Gustav Carus (DE), IRCCS Humanitas Research Hospital (IT), Heinrich Heine University Düsseldorf (DE), University of Turin (IT), University of Bologna (IT), Politecnico di Milano (IT)
Openalex Percentile: Top 5%
Acute Myeloid Leukemia Research
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