Novel LIPA-Targeted Therapy for Treating Ovarian Cancer.
Alexia B CollierSuryavathi ViswanadhapalliRahul GopalamTae-Kyung LeeKara KasseesKarla ParraGaurav SharmaTanner C ReeseXihui LiuXue YangBehnam EbrahimiUday P PratapMegharani MahajanWilliam C ArnoldAdriana BakerChia-Yuan ChenScott Terry ElmorePanneerdoss SubbarayaluGangadhara R SareddyPhilip T ValenteEdward R KostJung-Mo AhnRatna K VadlamudiPublished in: Cancers (2024)
Ovarian cancer (OCa) is the most lethal form of gynecologic cancer, and the tumor heterogeneities at the molecular, cellular, and tissue levels fuel tumor resistance to standard therapies and pose a substantial clinical challenge. Here, we tested the hypothesis that the heightened basal endoplasmic reticulum stress (ERS) observed in OCa represents an exploitable vulnerability and may overcome tumor heterogeneity. Our recent studies identified LIPA as a novel target to induce ERS in cancer cells using the small molecule ERX-41. However, the role of LIPA and theutility of ERX-41 to treat OCa remain unknown. Expression analysis using the TNMplot web tool, TCGA data sets, and immunohistochemistry analysis using a tumor tissue array showed that LIPA is highly expressed in OCa tissues, compared to normal tissues. ERX-41 treatment significantly reduced the cell viability and colony formation ability and promoted the apoptosis of OCa cells. Mechanistic studies revealed a robust and consistent induction of ERS markers, including CHOP, elF2α, PERK, and ATF4, upon ERX-41 treatment. In xenograft and PDX studies, ERX-41 treatment resulted in a significant reduction in tumor growth. Collectively, our results suggest that ERX-41 is a novel therapeutic agent that targets the LIPA with a unique mechanism of ERS induction, which could be exploited to treat heterogeneity in OCa.
Keyphrases
- endoplasmic reticulum stress
- induced apoptosis
- small molecule
- gene expression
- oxidative stress
- single cell
- cell cycle arrest
- climate change
- cell death
- diffuse large b cell lymphoma
- machine learning
- case control
- combination therapy
- high throughput
- electronic health record
- mass spectrometry
- long non coding rna
- cell proliferation
- big data
- single molecule