MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1038/s41467-024-53535-4

Медицинская библиотека · Nature communications · 2024

Single-cell landscape of innate and acquired drug resistance in acute myeloid leukemia.

Wegmann Rebekka, Bonilla Ximena, Casanova Ruben, Chevrier Stéphane, Coelho Ricardo, Esposito Cinzia, Ficek-Pascual Joanna, Goetze Sandra, Gut Gabriele, Jacob Francis, Jacobs Andrea, Kuipers Jack, Lischetti Ulrike, Mena Julien, Milani Emanuela S, Prummer Michael, Del Castillo Jacobo Sarabia, Singer Franziska, Sivapatham Sujana, Toussaint Nora C, Vilinovszki Oliver, Wildschut Mattheus H E, Thavayogarajah Tharshika, Malani Disha, TumorProfiler Consortium, Aebersold Rudolf, Bacac Marina, Beerenwinkel Niko, Beisel Christian, Bodenmiller Bernd, Heinzelmann-Schwarz Viola, Koelzer Viktor H, Levesque Mitchell P, Moch Holger, Pelkmans Lucas, Rätsch Gunnar, Tolnay Markus, Wicki Andreas, Wollscheid Bernd, Manz Markus G, Snijder Berend, Theocharides Alexandre P A

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

Deep single-cell multi-omic profiling offers a promising approach to understand and overcome drug resistance in relapsed or refractory (rr) acute myeloid leukemia (AML). Here, we combine single-cell ex vivo drug profiling (pharmacoscopy) with single-cell and bulk DNA, RNA, and protein analyses, alongside clinical data from 21 rrAML patients. Unsupervised data integration reveals reduced ex vivo response to the Bcl-2 inhibitor venetoclax (VEN) in patients treated with both a hypomethylating agent (HMA) and VEN, compared to those pre-exposed to chemotherapy or HMA alone. Integrative analysis identifies both known and unreported mechanisms of innate and treatment-related VEN resistance and suggests alternative treatments, like targeting increased proliferation with the PLK inhibitor volasertib. Additionally, high CD36 expression in VEN-resistant blasts associates with sensitivity to CD36-targeted antibody treatment ex vivo. This study demonstrates how single-cell multi-omic profiling can uncover drug resistance mechanisms and treatment vulnerabilities, providing a valuable resource for future AML research.

Для цитирования: Wegmann Rebekka, Bonilla Ximena, Casanova Ruben, Chevrier Stéphane, Coelho Ricardo, Esposito Cinzia, Ficek-Pascual Joanna, Goetze Sandra, Gut Gabriele, Jacob Francis, Jacobs Andrea, Kuipers Jack, Lischetti Ulrike, Mena Julien, Milani Emanuela S, Prummer Michael, Del Castillo Jacobo Sarabia, Singer Franziska, Sivapatham Sujana, Toussaint Nora C, Vilinovszki Oliver, Wildschut Mattheus H E, Thavayogarajah Tharshika, Malani Disha, TumorProfiler Consortium, Aebersold Rudolf, Bacac Marina, Beerenwinkel Niko, Beisel Christian, Bodenmiller Bernd, Heinzelmann-Schwarz Viola, Koelzer Viktor H, Levesque Mitchell P, Moch Holger, Pelkmans Lucas, Rätsch Gunnar, Tolnay Markus, Wicki Andreas, Wollscheid Bernd, Manz Markus G, Snijder Berend, Theocharides Alexandre P A. Single-cell landscape of innate and acquired drug resistance in acute myeloid leukemia.. Nature communications. 2024. DOI: 10.1038/s41467-024-53535-4.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.