A1 Refereed original research article in a scientific journal
Bayesian multi-source regression and monocyte-associated gene expression predict BCL-2 inhibitor resistance in acute myeloid leukemia
Authors: White Brian S., Khan Suleiman A., Mason Mike J., Ammad-ud-din Muhammad, Potdar Swapnil, Malani Disha, Kuusanmäki Heikki, Druker Brian J., Heckman Caroline, Kallioniemi Olli, Kurtz Stephen E., Porkka Kimmo, Tognon Cristina E., Tyner Jeffrey W., Aittokallio Tero, Wennerberg Krister, Guinney Justin
Publisher: NATURE RESEARCH
Publication year: 2021
Journal: npj Precision Oncology
Journal name in source: NPJ PRECISION ONCOLOGY
Journal acronym: NPJ PRECIS ONCOL
Article number: ARTN 71
Volume: 5
Number of pages: 11
eISSN: 2397-768X
DOI: https://doi.org/10.1038/s41698-021-00209-9
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/66909018
The FDA recently approved eight targeted therapies for acute myeloid leukemia (AML), including the BCL-2 inhibitor venetoclax. Maximizing efficacy of these treatments requires refining patient selection. To this end, we analyzed two recent AML studies profiling the gene expression and ex vivo drug response of primary patient samples. We find that ex vivo samples often exhibit a general sensitivity to (any) drug exposure, independent of drug target. We observe that this "general response across drugs" (GRD) is associated with FLT3-ITD mutations, clinical response to standard induction chemotherapy, and overall survival. Further, incorporating GRD into expression-based regression models trained on one of the studies improved their performance in predicting ex vivo response in the second study, thus signifying its relevance to precision oncology efforts. We find that venetoclax response is independent of GRD but instead show that it is linked to expression of monocyte-associated genes by developing and applying a multi-source Bayesian regression approach. The method shares information across studies to robustly identify biomarkers of drug response and is broadly applicable in integrative analyses.
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