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Functionally identifiable apoptosis-insensitive subpopulations determine chemoresistance in acute myeloid leukemia
Patrick D. Bhola, Brenton G. Mar, R. Coleman Lindsley, Jeremy A. Ryan, Leah J. Hogdal, Thanh Trang Vo, Daniel J. DeAngelo, Ilene Galinsky, Benjamin L. Ebert, Anthony Letai
Patrick D. Bhola, Brenton G. Mar, R. Coleman Lindsley, Jeremy A. Ryan, Leah J. Hogdal, Thanh Trang Vo, Daniel J. DeAngelo, Ilene Galinsky, Benjamin L. Ebert, Anthony Letai
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Research Article Hematology

Functionally identifiable apoptosis-insensitive subpopulations determine chemoresistance in acute myeloid leukemia

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Abstract

Upfront resistance to chemotherapy and relapse following remission are critical problems in leukemia that are generally attributed to subpopulations of chemoresistant tumor cells. There are, however, limited means for prospectively identifying these subpopulations, which hinders an understanding of therapeutic resistance. BH3 profiling is a functional single-cell analysis using synthetic BCL-2 BH3 domain–like peptides that measures mitochondrial apoptotic sensitivity or “priming.” Here, we observed that the extent of apoptotic priming is heterogeneous within multiple cancer cell lines and is not the result of experimental noise. Apoptotic priming was also heterogeneous in treatment-naive primary human acute myeloid leukemia (AML) myeloblasts, and this heterogeneity decreased in chemotherapy-treated AML patients. The priming of the most apoptosis-resistant tumor cells, rather than the median priming of the population, best predicted patient response to induction chemotherapy. For several patients, these poorly primed subpopulations of AML tumor cells were enriched for antiapoptotic proteins. Developing techniques to identify and understand these apoptosis-insensitive subpopulations of tumor cells may yield insights into clinical chemoresistance and potentially improve therapeutic outcomes in AML.

Authors

Patrick D. Bhola, Brenton G. Mar, R. Coleman Lindsley, Jeremy A. Ryan, Leah J. Hogdal, Thanh Trang Vo, Daniel J. DeAngelo, Ilene Galinsky, Benjamin L. Ebert, Anthony Letai

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Figure 1

Cell-cell variability in mitochondrial priming is present in many cancer cell lines.

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Cell-cell variability in mitochondrial priming is present in many cancer...
(A) BH3 profile using increasing concentrations of the BIM peptide in the OCI-AML2 cell line. Scatter plots with cytochrome c immunofluorescence on the y axis and forward scatter on the x axis. Scatter plots are representative of 3 experiments. Cyt c, cytochrome c. (B) Quantification of average cytochrome c loss in the whole population. (C) Quantification of variability using the robust coefficient of variation — a measure of statistical dispersion. We calculate priming heterogeneity to be the area under this coefficient of variation curve. (D) Priming heterogeneity in cell lines from different malignancies. Panc, pancreas; Ov, ovary; MM, multiple myeloma. Error bars represent SD.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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