Integrated drug resistance and leukemic stemness gene-expression scores predict outcomes in large cohort of over 3500 AML patients from 10 trials

Integrated drug resistance and leukemic stemness gene-expression scores predict outcomes in large cohort of over 3500 AML patients from 10 trials

Abstract In this study, we leveraged machine-learning tools by evaluating expression of genes of pharmacological relevance to standard-AML chemotherapy (ara-C/daunorubicin/etoposide) in a discovery-cohort of pediatric AML patients (N = 163; NCT00136084 ) and defined a 5-gene-drug resistance score (A...

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Main Authors: Abdelrahman H. Elsayed, Xueyuan Cao, Richard J. Marrero, Nam H. K. Nguyen, Huiyun Wu, Yonhui Ni, Raul C. Ribeiro, Herold Tobias, Peter J. Valk, François Béliveau, Guillaume Richard-Carpentier, Josée Hébert, C. Michel Zwaan, Alan Gamis, Edward Anders Kolb, Richard Aplenc, Todd A. Alonzo, Soheil Meshinchi, Jeffrey Rubnitz, Stanley Pounds, Jatinder K. Lamba
Format: Article
Language:English
Published: Nature Portfolio 2024-08-01
Series:npj Precision Oncology
Online Access:https://doi.org/10.1038/s41698-024-00643-5

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https://doi.org/10.1038/s41698-024-00643-5

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