Researchers from the Tumor Profiler consortium have combined single-cell multi-omics and functional profiling for 21 AML patients to reveal resistance mechanisms to the Bcl-2 inhibitor venetoclax and identify emerging treatment vulnerabilities.
Molecular and functional profiling technologies (“Multi-OMICS”) open new doors for personalized medicine. The Tumor Profiler study is a collaboration between Swiss universities, hospitals and industry with the goal to assess the clinical relevance of in-depth tumor profiling.
In a recent study from the acute myeloid leukemia (AML) arm of the Tumor Profiler, published in Nature Communications, researchers demonstrated that multi-OMICS profiles can be generated in a clinically meaningful turnaround time and are highly informative of treatment resistance and sensitivity.
In this study, they analyzed samples from 21 AML patients and combined up to nine OMICS methods to examine cellular drug responses and individual cell DNA, RNA, and proteins. They found that prior venetoclax exposure was associated with weaker response to this drug and accompanied by characteristic molecular changes. These changes were also observed in some venetoclax-naïve patients whose cells nevertheless did not respond to this treatment ex vivo.
This analysis uncovered venetoclax resistance mechanisms and pointed towards potential alternative treatments targeting the resistance-associated molecular pathways. For instance, high levels of the protein CD36 in resistant cells were linked to ex vivo responses to a new immunotherapy. This study underscores the power of advanced profiling techniques in uncovering drug resistance mechanisms and identifying alternative treatment options for AML patients.
More information:
Rebekka Wegmann et al, Single-cell landscape of innate and acquired drug resistance in acute myeloid leukemia, Nature Communications (2024). DOI: 10.1038/s41467-024-53535-4
Citation:
Study reveal single-cell landscape of innate and acquired drug resistance in acute myeloid leukemia (2024, November 11)
retrieved 11 November 2024
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