Single-cell proteogenomic analysis of clonal evolution in PDX models of AML treated with IDH inhibitors

Alex C.H. Liu(University of Toronto), Séverine Cathelin(Princess Margaret Cancer Centre), Dhanoop Manikoth Ayyathan(Princess Margaret Cancer Centre), Yitong Yang(University of Toronto), Farzaneh Aboualizadeh(Princess Margaret Cancer Centre), Amina Abow(Princess Margaret Cancer Centre), Gurbaksh Basi(Princess Margaret Cancer Centre), Lance Li(University of Toronto), David Dai(University of Toronto), Abdula Maher(University of Toronto), Éric Grignano(Princess Margaret Cancer Centre), Mohsen Hosseini(Princess Margaret Cancer Centre), Vivian Wang(University of Toronto), Troy Ketela(Princess Margaret Cancer Centre), Brandon Nicolay(Agios Pharmaceuticals (United States)), Dylan M. Marchione(Servier (France)), Adriana E. Tron(Servier (France)), Andrea Arruda(Princess Margaret Cancer Centre), Mark D. Minden(University of Toronto), Steven M. Chan(University of Toronto)
Blood Neoplasia
November 6, 2025
Cited by 1Open Access
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Abstract

1. Single-cell proteogenomic analysis of AML PDX models offers the potential to study clonal evolution in response to different therapies. 2. Co-transplanting multiple primary samples into a single animal can generate PDX models with the desired genetic composition. Clonal heterogeneity in acute myeloid leukemia (AML) can drive drug resistance because different clones may respond variably to treatments. Studying the evolution of these clones under the influence of therapeutic selective pressures is important for designing strategies to overcome drug resistance. Here, we used single-cell proteogenomic analysis to monitor the clonal evolution and differentiation of isocitrate dehydrogenase ( IDH )-mutated AML in patient-derived xenografts (PDXs) treated with IDH inhibitors alone or in combination with other anti-leukemic therapies. Furthermore, we generated mixed PDX models by co-engrafting two or more leukemic samples into the same animal and used single-cell DNA sequencing to deconvolute their clonal composition. Using these models, we tracked clonal evolution under selective pressure from IDH inhibitors and combination therapies, identifying an association between WT1 mutations and ivosidenib (IDH1 inhibitor) monotherapy resistance and antagonism between ivosidenib and enasidenib (IDH2 inhibitor) when tested in IDH1 -mutated cells. Our findings demonstrate how single-cell proteogenomic analysis of PDX models can illuminate drug resistance mechanisms and inform therapeutic strategies.


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