dasatinib

Our findings suggest that AURKB serves as a crucial biomarker in the development and progression of OA and is significantly associated with immune infiltration, offering a novel perspective for elucidating the pathogenesis of OA.

Our study leverages single-cell profiling to elucidate HPV-driven immunological remodeling in HNSCC. The derived prognostic signature effectively captures the essence of the TIME, serving as a reliable biomarker for predicting patient survival and informing precision therapy, potentially bridging the gap between HPV status and clinical decision-making.

We constructed a RiskScore model for predicting the survival outcomes based on fibroblasts-related genes. These findings highlighted the role of fibroblasts in GBM development and offered six potential therapeutic targets (VWA1, DUSP6, LOXL1, IGFBP4, CYGB, and ZIC3) for GBM treatment. Additionally, immune infiltration analysis and drug sensitivity prediction further supported the model's utility in guiding personalized treatment of GBM.

Maslinic acid (MA), a plant-derived pentacyclic triterpene, was compared to the FDA-approved drugs dasatinib (DAS) and doxorubicin (DOX) to determine its antileukemic potential. Thus, these results illustrate that MA may act as a natural scaffold with antileukemic properties and call for additional experimental confirmation. The online version contains supplementary material available at 10.1007/s40203-025-00478-3.

Platelet-derived growth factor receptor beta (PDGFRB)-rearranged myeloid/lymphoid neoplasms (MLNs) are rare hematologic malignancies typically responsive to tyrosine kinase inhibitors (TKIs) such as imatinib. The patient progressed to acute myeloid leukemia (AML) within 11 months despite sequential therapies including dasatinib and azacitidine-venetoclax, ultimately succumbing to sepsis. This case highlights the limitations of TKI monotherapy in MLNs with PDGFRB rearrangements and co-existing high-risk mutations, underscoring the importance of early molecular profiling and consideration of allogeneic hematopoietic stem cell transplantation in cases with poor risk features.

P3, N=406, Active, not recruiting, Novartis Pharmaceuticals | Trial completion date: Jan 2031 --> Jan 2028

Among 289 patients with clinical follow-up, HLA-DQB1*06:04 (aHR [95% CI] = 3.71 [1.57-8.77]) and DRB1*13:02 (aHR = 3.95 [1.77-8.81]) were associated with faster MR4 achievement in imatinib-treated patients (FDR < 0.01), while B*44:02 (aHR = 4.83 [1.62-14.41]) predicted favorable response to dasatinib (FDR < 0.05). Conversely, a higher HED score for HLA-C was associated with improved TFR in dasatinib-treated patients (P = 0.0067). These findings suggest that HLA genotype and class-specific HED may influence CML susceptibility and outcomes and could inform TKI selection and discontinuation strategies.

Medications such as CGP-082996, Dasatinib, Erlotinib, and Salubrinal were more sensitive to high-risk group, whereas drugs such as FTI-277, DMOG, and Crizotinib were more sensitive to low-risk group. UGT1A6 and IRGM were significantly upregulated in tumor group as revealed by qRT-PCR. This study constructed a new prognostic model for CRC patients based on RRAGs, and a series of analysis results is conducive to providing more theoretical references and new insights into precision treatment of CRC patients.

Dasatinib, an FDA-approved SRC/EPHA2 inhibitor, effectively reduced p-PI3KβY962 and inhibited tumor progression in PTEN-null but not PTEN-WT tumors. These findings establish p-PI3KβY962 as a druggable target and biomarker for developing targeted therapy in PTEN-deficient cancers beyond conventional PI3K kinase inhibition.

She ultimately achieved Major Molecular Response (MMR) after haploidentical hematopoietic stem-cell transplantation (haplo-HSCT). This case highlights the importance of comprehensive molecular profiling at diagnosis and the need to develop alternative therapeutic strategies for rare BCR::ABL1 variants.

Neoadjuvant SRC or MEK inhibition does not appear to mitigate the EMT response to ADT or influence clinical or pathological outcomes.

The optimized machine learning model (glmBoost+Stepglm) generated a parsimonious 14-gene signature demonstrating exceptional cross-cohort accuracy (mean AUC=0.991), while pharmacological screening prioritized kinase inhibitors (e.g., dasatinib, p=2.1×10⁻⁸) and immunomodulators as therapeutic candidates. Our study establishes FCGR2A-mediated myeloid reprogramming as a critical interface between metabolic dysfunction and ccRCC progression, serving as both a prognostic biomarker and therapeutic target. This dual-disease modeling paradigm provides actionable insights for precision management of obesity-associated malignancies.