Dataset Information

Therapeutic optimization of LIPA targeting to induce endoplasmic reticulum stress and cell death in Ovarian Cancer

ABSTRACT: Ovarian cancer (OCa) remains the most lethal gynecologic malignancy in the United States, with a five-year survival rate below 20%. Elevated basal levels of endoplasmic reticulum stress (ERS) have recently emerged as a therapeutic vulnerability in OCa. We have previously shown that the tris-benzamide ERX-41 can induce ERS and cancer cell death in OCa by targeting LIPA. In this study, using iterative structure–activity relationship–guided studies to enhance activity in OCa, we identified a more potent ERX-41 derived analogue, ERX-208. Importantly, ERX-208 consistently and significantly reduced cell viability in 23 OCa cell lines spanning five major histological OCa subtypes, with IC₅₀ values ranging from 50–100 nM, compared to ∼500 nM for ERX-41. Notably, ERX-208 showed minimal cytotoxicity toward normal ovarian surface epithelial cells, indicating selectivity. Mechanistic studies using RNA sequencing, Western blotting, RT-qPCR, transmission electron microscopy, and immunohistochemistry validated robust activation of ERS pathways upon ERX-208 treatment. Through in silico molecular docking simulation and confirmatory detailed site-directed mutagenesis, we identified that ERX-208 binds to LIPA over a broader interaction surface than ERX-41. ERX-208 induced apoptosis and suppressed colony formation in vitro in OCa cells. At the 10mg/kg dose, ERX-208 demonstrated favorable biodistribution, no observable toxicity and potent antitumor efficacy in vivo against established cell line derived xenograft (CDX), patient-derived xenograft (PDX), and patient-derived explant (PDE) models. Immunohistochemical analysis of treated tumors demonstrated changes in expression of proliferative marker (ki67, decreased) and the ERS marker (GRP78, increased). These findings support the clinical advancement of ERX-208 for the treatment of patients with OCa.

ORGANISM(S): Homo sapiens

PROVIDER: GSE311167 | GEO | 2026/02/25

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Lysosomal acid lipase (Lipa), which is primarily produced in the liver, has been identified as one of the earliest and most impactful genetic factors linked to human coronary artery diseases. Despite its original source, it is also found to be highly expressed in macrophages. However, the functional importance of Lipa in macrophages has been largely unknown. Notably, individuals with certain risk alleles demonstrate elevated Lipa expression in monocytes and macrophages, but lower levels of hepatic and plasma Lipa, indicating a potential regulatory role of Lipa on atherosclerosis through its impact on macrophages. The development of atherosclerosis in genetic models lacking Lipa has presented challenges. Our hypothesis is that Lipa deficiency may influence atherosclerosis development by affecting macrophages. In order to investigate this, we established Lipa-deficient mice on an ApoE-knockout background, providing a model that enables us to evaluate the influence of Lipa on atherosclerosis. In our experiments, we observed hepatosplenomegaly and increased myeloid cell differentiation in Lipa−/−ApoE−/− mice fed a high-fat diet, which aligns with observations in humans with LIPA deficiency. Surprisingly, we also discovered that Lipa deficiency led to a significant inhibition of atherosclerosis in both Lipa+/−ApoE−/− and Lipa−/−ApoE−/− mice. Mechanistically, we found that such inhibition was linked to a notable reduction in foam cell formation and macrophage accumulation within atherosclerotic plaques. Notably, reduced Lipa expression in Lipa+/−ApoE−/− mice influenced foam cell formation and macrophage accumulation, but did not impact hepatic lipid metabolism or macrophage differentiation, as evidenced by flow cytometry and single-cell RNA-sequencing. These findings highlight a novel role for Lipa in modulating macrophage behavior during atherosclerosis, suggesting that Lipa may serve as a promising therapeutic target for the treatment of atherosclerosis.

Dataset Information

Therapeutic optimization of LIPA targeting to induce endoplasmic reticulum stress and cell death in Ovarian Cancer

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets