Mechanical cues rewire lipid metabolism and support chemoresistance in epithelial ovarian cancer cell lines OVCAR3 and SKOV3

Veröffentlichungen: Beitrag in FachzeitschriftArtikelPeer Reviewed

Abstract

Epithelial ovarian cancer (EOC) is one of the deadliest cancers in women, and acquired chemoresistance is a major contributor of aggressive phenotypes. Overcoming treatment failure and disease recurrence is therefore an ambitious goal. Ovarian cancer develops in a biophysically challenging environment where the cells are constantly exposed to mechanical deformation originating in the abdomen and shear stress caused by the accumulation of ascitic fluid in the peritoneal cavity. Therefore, mechanical stimulation can be seen as an inseparable part of the tumor microenvironment. The role of biomechanics in shaping tumor metabolism is emerging and promises to be a real game changer in the field of cancer biology. Focusing on two different epithelial ovarian cancer cell lines (SKOV3 and OVCAR3), we explored the impact of shear stress on cellular behavior driven by mechanosensitive transcription factors (TFs). Here, we report data linking physical triggers to the alteration of lipid metabolism, ultimately supporting increased chemoresistance. Mechanistically, shear stress induced adaptation of cell membrane and actin cytoskeleton which were accompanied by the regulation of nuclear translocation of SREBP2 and YAP1. This was associated with increased cholesterol uptake/biosynthesis and decreased sensitivity to the ruthenium-based anticancer drug BOLD-100. Overall, the present study contributes to shedding light on the molecular pathways connecting mechanical cues, tumor metabolism and drug responsiveness.

OriginalspracheEnglisch
Aufsatznummer193
FachzeitschriftCell communication and signaling
Jahrgang23
Ausgabenummer1
DOIs
PublikationsstatusVeröffentlicht - Dez. 2025

Fördermittel

Open access funding provided by University of Vienna. This research was funded in whole, or in part, by the Austrian Science Fund (FWF) [Grant-DOI 10.55776/P35822]. For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission. This work was further supported by the University of Vienna (intramural funding). Imaging workflows were supported by the core facility multimodal imaging (Faculty of Chemistry, University of Vienna, Vienna Life Science Instruments VLSI) and the metabolome analysis by the Joint Metabolome Facility (University of Vienna, Medical University of Vienna, VLSI). The authors are grateful to Michael Wenth for technical support with the preparation of the heat maps.

TrägerTrägernummer
Fonds zur Förderung der wissenschaftlichen Forschung (FWF)10.55776/P35822

ÖFOS 2012

  • 106023 Molekularbiologie
  • 301303 Medizinische Biochemie
  • 301904 Krebsforschung
  • 106052 Zellbiologie

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