Article
CMML2AML: machine-learning discovery of co-mutations and specific single mutations predictive of blast transformation in chronic myelomonocytic leukemia.
Blood cancer journal - 12 Apr 2026
Fathima Saubia, Rokach Lior, Yousuf Muhammad, Faldu Priyansh, Alsugair Ali, Csizmar Clifford, Nakhleh Merry, Mangaonkar Abhishek A, Pardanani Animesh, Lanino Luca, Campagna Alessia, Maggioni Giulia, Farnoud Noushin, Rampal Raajit, Reichard Kaaren K, He Rong, Gangat Naseema, Patnaik Mrinal M, Della Porta Matteo G, Tefferi Ayalew
Abstract excerpt
Contemporary risk models in chronic myelomonocytic leukemia (CMML) focus on the prognostic relevance of individual rather than concurrent mutations. In the current study of 605 Mayo Clinic patients with CMML, we applied machine-learning algorithms in order to examine the influence of cooperative mutational interactions on blast transformation (BT). A hierarchical clustering algorithm was developed and tailored...
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