Novel precision medicine approaches and treatment strategies in hematological malignancies
R Rosenquist, E Bernard, T Erkers… - Journal of Internal …, 2023 - Wiley Online Library
Genetic testing has been applied for decades in clinical routine diagnostics of hematological
malignancies to improve disease (sub) classification, prognostication, patient management …
malignancies to improve disease (sub) classification, prognostication, patient management …
Robust scoring of selective drug responses for patient-tailored therapy selection
Most patients with advanced malignancies are treated with severely toxic, first-line
chemotherapies. Personalized treatment strategies have led to improved patient outcomes …
chemotherapies. Personalized treatment strategies have led to improved patient outcomes …
Single-cell landscape of innate and acquired drug resistance in acute myeloid leukemia
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 …
overcome drug resistance in relapsed or refractory (rr) acute myeloid leukemia (AML). Here …
Single-cell multiomics analysis reveals dynamic clonal evolution and targetable phenotypes in acute myeloid leukemia with complex karyotype
Chromosomal instability is a major driver of intratumoral heterogeneity (ITH), promoting
tumor progression. In the present study, we combined structural variant discovery and …
tumor progression. In the present study, we combined structural variant discovery and …
Prognostic value of European LeukemiaNet 2022 criteria and genomic clusters using machine learning in older adults with acute myeloid leukemia
S Park, TY Kim, BS Cho, D Kwag, JM Lee… - …, 2023 - pmc.ncbi.nlm.nih.gov
This study aimed to validate the new European Leukemia Net (ELN) 2022 criteria for genetic
risk stratification in older adults with acute myeloid leukemia (AML) and to determine the …
risk stratification in older adults with acute myeloid leukemia (AML) and to determine the …
Optimizing drug combinations for T-PLL: restoring DNA damage and P53-mediated apoptotic responses
J von Jan, S Timonen, T Braun, Q Jiang, A Ianevski… - Blood, 2024 - ashpublications.org
Abstract T-prolymphocytic leukemia (T-PLL) is a mature T-cell neoplasm associated with
marked chemotherapy resistance and continued poor clinical outcomes. Current treatments …
marked chemotherapy resistance and continued poor clinical outcomes. Current treatments …
Standardized assays to monitor drug sensitivity in hematologic cancers
P Ayuda-Durán, JU Hermansen, M Giliberto, Y Yin… - Cell death …, 2023 - nature.com
The principle of drug sensitivity testing is to expose cancer cells to a library of different drugs
and measure its effects on cell viability. Recent technological advances, continuous …
and measure its effects on cell viability. Recent technological advances, continuous …
BH3 profiling identifies BCL-2 dependence in adult patients with early T-cell progenitor acute lymphoblastic leukemia
EA Olesinski, KS Bhatia, AN Mahesh, S Rosli… - Blood …, 2023 - ashpublications.org
COI notes: MK discloses grants and other from AbbVie, grants and other from F. Hoffman La-
Roche, grants and other from Stemline Therapeutics, grants and other from Forty-Seven …
Roche, grants and other from Stemline Therapeutics, grants and other from Forty-Seven …
Functional screening for cancer drug discovery: from experimental approaches to data integration
Cancer is still one of the leading causes of death worldwide, despite that tremendous
resources are being invested in drug discovery (Siegel et al., 2022). Recent developments …
resources are being invested in drug discovery (Siegel et al., 2022). Recent developments …
[HTML][HTML] Knowledge graphs facilitate prediction of drug response for acute myeloid leukemia
Acute myeloid leukemia (AML) is a highly aggressive and heterogeneous disease,
underscoring the need for improved therapeutic options and methods to optimally predict …
underscoring the need for improved therapeutic options and methods to optimally predict …