Dataset Information

Isolation and characterization of stem-like cells from a human ovarian cancer cell line

ABSTRACT: Increasing evidence supports the existence of a subpopulation of cancer cells capable of self-renewal and differentiation into diverse cell lineages. These cancer stem-like or cancer-initiating cells (CICs) also demonstrate resistance to chemo- and radiotherapy and may function as a primary source of cancer recurrence. We report here on the isolation and in vitro propagation of multicellular ovarian cancer spheroids from a well-established ovarian cancer cell line (OVCAR-3). The spheroid-derived cells (SDCs) display self-renewal potential, the ability to produce differentiated progeny, and increased expression of genes previously associated with CICs. SDCs also demonstrate higher invasiveness, migration potential, and enhanced resistance to standard anticancer agents relative to parental OVCAR-3 cells. Furthermore, SDCs display up-regulation of genes associated with epithelial-to-mesenchymal transition (EMT), anticancer drug resistance and/or decreased susceptibility to apoptosis, as well as, down-regulation of genes typically associated with the epithelial cell phenotype and pro-apoptotic genes. Pathway and biological process enrichment analyses indicate significant differences between the SDCs and precursor OVCAR-3 cells in TGF-beta-dependent induction of EMT, regulation of lipid metabolism, NOTCH and Hedgehog signaling. Collectively, our results indicate that these SDCs will be a useful model for the study of ovarian CICs and for the development of novel CIC-targeted therapies.

ORGANISM(S): Homo sapiens

PROVIDER: GSE28799 | GEO | 2011/04/23

SECONDARY ACCESSION(S): PRJNA138819

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:With the onset of resistance, ovarian cancer cells display almost unpredictable adaptive potential. This may derive from genetic ancestry of the tumor cells and can be additionally tailored by post translational protein modifications (PTMs). The latter are profoundly shaped by the physical and chemical cues of the cancer microenvironment which, for ovarian cancer, is primarily the abdominal cavity. In this study, we took advantage of high-end proteome and phosphoproteome analyses combined with multiparametric morphometric profiling for the description of the proteome signatures of high-grade serous carcinomas (OVCAR-3) and non-serous carcinomas (SKOV-3) ovarian cancer cells. For the functional experiments, we applied two different protocols, representing typical stimuli of the peritoneal cavity and of the growing tumor mass: on the one side hypoxia (oxygen 1%) which develops within the tumor mass or is experienced during migration/extravasation in non-vascularized tissues. For comparison, fluid shear stress (2.8 dyn/cm2, orbital shaker method) which characterizes the tumor surface in peritoneal cavity or metastases spread in the bloodstream. After 3 hours incubation, treatment groups were clearly distinguishable by PCA analysis. Whereas basal proteome profile of SKOV-3 and OVCAR-3 cells appeared almost unchanged, phosphoproteome analysis revealed multiple regulations. These affected primarily cellular structure and proliferative potential and consolidated after 24h treatment. Albeit maintaining their individuality, hypoxia modified cell metabolism and morphology of both OVCAR-3 and SKOV-3: upon oxygen reduction cell size increased in concerted regulation of pathways related to Rho-GTPases and/or cytoskeletal elements (proteome and phosphoproteome). Also shear stress stimulation sharpened the response profile of SKOV-3 and OVCAR-3: this retraced their pathophysiological behavior and actively modified structural proteins as well as metabolism (e.g. delta(14)-sterol reductase, Kinesin-like proteins (KIF-22/20A) and Actin-related protein 2/3 complex). In conclusion, we characterized a biochemical and structural fingerprinting describing the adaptive potential of ovarian cancer cells to physical/chemical stressors typical for the abdominal cavity.

Dataset Information

Isolation and characterization of stem-like cells from a human ovarian cancer cell line

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets