saracatinib (AZD0530)

Treatment of these cells with SRC inhibitors (such as dasatinib, bosutinib and saracatinib) and autophagy-inducing drugs (such as Tat-BECN1, SW076956 and SW063058) demonstrated a synergistic interaction between these compounds both in vitro and in ovo using a chick Chorioallantoic Membrane (CAM) assay. Our findings elucidate a novel BAP1-SRC-BECN1-autophagy regulatory axis that can be exploited therapeutically in precision oncology through the combination of SRC inhibitors and autophagy inducers, contingent upon patient stratification for BAP1 loss.Significance: Deadly cancers with BAP1 mutations suppress autophagy by phosphorylating the autophagy regulator BECN1 via the proto-oncogene SRC. Treatment with SRC inhibitors and autophagy inducers exhibited synergism in vitro, in ovo and in patient-derived tumor organoids with BAP1 loss, paving the way for treating BAP1-deficient cancers with autophagy inducers and kinase inhibitors.

Drug sensitivity analysis highlighted AZD.0530, CCT007093, DMOG, JNJ.26854165, and LFM.A13 as promising therapeutic candidates. In both datasets, expression of prognostic genes was significantly higher in the GC cohort. This study identified ERCC6L and MYB as key prognostic genes, facilitating the development of a risk model that offers novel insights into potential therapeutic strategies for GC.

To evaluate the efficacy of dual targeting, we assessed the combination between SRC inhibitors, saracatinib and dasatinib, with sorafenib in six hepatic cell models, representing both S1 and S2 subtypes. Additionally, combined therapies decreased VEGFA and HIF1A expression compared to sorafenib alone, suggesting a potential to counteract the adaptive resistance mechanisms of cells to sorafenib. In summary, the combination of SFK inhibitors with sorafenib significantly enhances anti-tumor activity, offering a promising strategy to address HCC cellular heterogeneity and improve treatment efficacy.

TM4SF1 promotes HF progression and HSC activation by binding to and activating c-Src. TM4SF1 could be a future therapeutic target for HF by inhibiting HSC activation.

In contrast, SRC inhibition with Saracatinib fails to inhibit YAP1/TAZ-driven transcription and cell growth in general...In such invasive carcinoma models, the combined inhibition of SRC, IGF2BP1, and YAP1/TAZ proved superior over monotherapies. These findings highlight the therapeutic potential of targeting IGF2BP1, a key regulator of oncogenic transcription networks.

The cell migration and EMT function of IGF2BP3 were partially rescued by utilizing SRC siRNA or AZD0530, an SRC inhibitor. This study demonstrated that IGF2BP3 promotes lymphatic metastasis in LUAD via activating the m6A-SRC-STAT3-VEGFC signaling axis, indicating that IGF2BP3 is a potential therapeutic target to overcome metastasis in LUAD patients.

Our study has effectively established an oxidative stress-related prognostic model, providing a promising tool for personalized clinical strategies and improved STAD patient outcomes.

P1/2, N=71, Completed, Joyce Marie Slingerland, MD | Phase classification: P2 --> P1/2

Lastly, the drug sensitivity analysis revealed that the BLCA cells in the high-risk group showed an increased sensitivity to cisplatin, sunitinib, cetuximab, axitinib, docetaxel, saracatinib, vinblastine and pazopanib compared with those in the low-risk group. According to the Quantitative real time PCR results, we found that five lncRNAs of the risk model were more highly expressed in BCa cell lines than human immortalized uroepithelial cell line. The disulfidptosis-related lncRNA risk model has a valuable effect in assessing the prognosis of BLCA patients.

The CRCS2 subtype was in a hypoxic state and was characterized by suppression and exclusion of immune function, which was sensitive to gefitinib, erlotinib, and saracatinib. Our findings highlight the key role of CSCs in shaping the ccRCC tumor microenvironment, crucial for therapy research and clinical guidance. Recognizing tumor stemness helps to predict treatment efficacy, recurrence, and drug resistance, informing treatment strategies and enhancing ccRCC patient outcomes.

Finally, based on the cMAP database, we identified several potential drugs that could target high-risk groups, such as Dasatinib, GNF-2, Saracatinib, and WZ-1-84. This model can be used as a predictor of prognosis and immunotherapy response in colon cancer patients. At the same time, model-based prediction of drugs can also be a potential option for colon cancer treatment in the future.

Our findings reveal that exogenous expression of paralogs STAT5A and STAT5B augments cell proliferation and that inhibition of STAT5 phosphorylation in vivo improves overall survival in combination with temozolomide (TMZ). Constitutively active STAT5A or STAT5B mitigates saracatinib sensitivity in EGFRvIII+ cells. In vivo, saracatinib treatment decreased survival in mice bearing EGFR WT tumors compared to the control, yet in EGFRvIII+ tumors, treatment with saracatinib in combination with TMZ preferentially improves survival.