دورية أكاديمية

Unveiling the signaling network of FLT3-ITD AML improves drug sensitivity prediction

التفاصيل البيبلوغرافية
العنوان: Unveiling the signaling network of FLT3-ITD AML improves drug sensitivity prediction
المؤلفون: Sara Latini, Veronica Venafra, Giorgia Massacci, Valeria Bica, Simone Graziosi, Giusj Monia Pugliese, Marta Iannuccelli, Filippo Frioni, Gessica Minnella, John Donald Marra, Patrizia Chiusolo, Gerardo Pepe, Manuela Helmer Citterich, Dimitros Mougiakakos, Martin Böttcher, Thomas Fischer, Livia Perfetto, Francesca Sacco
المصدر: eLife, Vol 12 (2024)
بيانات النشر: eLife Sciences Publications Ltd, 2024.
سنة النشر: 2024
المجموعة: LCC:Medicine
LCC:Science
LCC:Biology (General)
مصطلحات موضوعية: mouse, acute myeloid leukemia, tyrosine kinase, Boolean model, drug resistance, cancer therapy, Medicine, Science, Biology (General), QH301-705.5
الوصف: Currently, the identification of patient-specific therapies in cancer is mainly informed by personalized genomic analysis. In the setting of acute myeloid leukemia (AML), patient-drug treatment matching fails in a subset of patients harboring atypical internal tandem duplications (ITDs) in the tyrosine kinase domain of the FLT3 gene. To address this unmet medical need, here we develop a systems-based strategy that integrates multiparametric analysis of crucial signaling pathways, and patient-specific genomic and transcriptomic data with a prior knowledge signaling network using a Boolean-based formalism. By this approach, we derive personalized predictive models describing the signaling landscape of AML FLT3-ITD positive cell lines and patients. These models enable us to derive mechanistic insight into drug resistance mechanisms and suggest novel opportunities for combinatorial treatments. Interestingly, our analysis reveals that the JNK kinase pathway plays a crucial role in the tyrosine kinase inhibitor response of FLT3-ITD cells through cell cycle regulation. Finally, our work shows that patient-specific logic models have the potential to inform precision medicine approaches.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2050-084X
العلاقة: https://elifesciences.org/articles/90532Test; https://doaj.org/toc/2050-084XTest
DOI: 10.7554/eLife.90532
الوصول الحر: https://doaj.org/article/046f6248d0ed4a4e8ed3337d150c805eTest
رقم الانضمام: edsdoj.046f6248d0ed4a4e8ed3337d150c805e
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:2050084X
DOI:10.7554/eLife.90532