Unlabelled: Immune checkpoint inhibitors (ICI) have transformed the treatment of melanoma. However, the majority of patients have primary or acquired resistance to ICIs, limiting durable responses and patient survival. IFNγ signaling and the expression of IFNγ-stimulated genes correlate with either response or resistance to ICIs, in a context-dependent manner. While IFNγ-inducible immunostimulatory genes are required for response to ICIs, chronic IFNγ signaling induces the expression of immunosuppressive genes, promoting resistance to these therapies. Here, we show that high levels of Unc-51 like kinase 1 (ULK1) correlate with poor survival in patients with melanoma and overexpression of ULK1 in melanoma cells enhances IFNγ-induced expression of immunosuppressive genes, with minimal effects on the expression of immunostimulatory genes. In contrast, genetic or pharmacologic inhibition of ULK1 reduces expression of IFNγ-induced immunosuppressive genes. ULK1 binds IRF1 in the nuclear compartment of melanoma cells, controlling its binding to the programmed death-ligand 1 promoter region. In addition, pharmacologic inhibition of ULK1 in combination with anti-programmed cell death protein 1 therapy further reduces melanoma tumor growth in vivo. Our data suggest that targeting ULK1 represses IFNγ-dependent immunosuppression. These findings support the combination of ULK1 drug-targeted inhibition with ICIs for the treatment of patients with melanoma to improve response rates and patient outcomes.
Implications: This study identifies ULK1, activated downstream of IFNγ signaling, as a druggable target to overcome resistance mechanisms to ICI therapy in metastatic melanoma.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10073316 | PMC |
http://dx.doi.org/10.1158/1541-7786.MCR-22-0684 | DOI Listing |
J Med Chem
January 2025
College of Chemistry, Zhengzhou University, Zhengzhou 450001, China.
The P2YR is activated by UDP and UDP glucose and is involved in many human inflammatory diseases. Based on the molecular docking analysis of currently reported P2YR antagonists and the crystallographic overlap study between PPTN and compound , a series of 3-substituted 5-amidobenzoate derivatives were designed, synthesized, and identified as promising P2YR antagonists. The optimal compound (methyl 3-(1-benzo[]imidazol-2-yl)-5-(2-(-tolyl) acetamido)benzoate, IC = 0.
View Article and Find Full Text PDFAllergy
January 2025
Department of Rheumatology and Immunology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland.
J Cell Sci
January 2025
Institute of Molecular Biosciences, University of Graz, Graz, Austria.
White adipose tissue (WAT) comprises a plethora of cell types beyond adipocytes forming a regulatory network that ensures systemic energy homeostasis. Intertissue communication is facilitated by metabolites and signaling molecules that are spread by vasculature and nerves. Previous works indicated that WAT responds to environmental cues by adapting the abundance of these "communication routes", however, high intra-tissue heterogeneity questions the informative value of bulk or single cell analyses and underscores the necessity of whole-mount imaging.
View Article and Find Full Text PDFHypertension
January 2025
Cardiology Division, Department of Medicine, Emory University School of Medicine, Atlanta, GA. (X.Z., Q.X., A.V., Z.L.).
Background: Recent studies show that hyperactivation of mTOR (mammalian target of rapamycin) signaling plays a causal role in the development of thoracic aortic aneurysm and dissection. Modulation of PP2A (protein phosphatase 2A) activity has been shown to be of significant therapeutic value. In light of the effects that PP2A can exert on the mTOR pathway, we hypothesized that PP2A activation by small-molecule activators of PP2A could mitigate AA progression in Marfan syndrome (MFS).
View Article and Find Full Text PDFComput Methods Biomech Biomed Engin
January 2025
School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, Changzhou University, Changzhou, P.R. China.
Slow eye movements (SEMs) are a reliable physiological marker of drivers' sleep onset, often accompanied by EEG alpha wave attenuation. A parallel multimodal 1D convolutional neural network (PM-1D-CNN) model is proposed to classify SEMs. The model uses two parallel 1D-CNN blocks to extract features from EOG and EEG signals, which are then fused and fed into fully connected layers for classification.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!