Dataset Information

Proteomic and lipidomic analysis of exosomes derived from ovarian cancer cells and ovarian surface epithelial cells.

ABSTRACT: BACKGROUND:The limitation of current biomarker of early stage ovarian cancer and the anatomical location of ovarian (depths of the pelvic) make ovarian cancer difficult to be detected in early stage. Growing evidence shows exosomes as key information transmitters, it carried molecules, such as miRNAs, proteins, lipids, double-stranded DNA have been reported as promising biomarkers in many diseases. However, little is known about the protein and lipid composition of ovarian cancer. METHODS:Here, we report proteomic and lipidomic analysis of exosomes derived from ovarian cancer cells (SKOV-3) and ovarian surface epithelial cells (HOSEPiC). RESULTS:A total of 1433 proteins and 1227 lipid species were identified from two cell line derived exosomes. Several lipid species and proteins significantly differ in SKOV-3 derived exosomes compared to those from HOSEPiC. For example, we noted that ChE and ZyE species were in general more abundant in exosomes from SKOV-3 than from HOSEPiC; Collagen type V alpha 2 chain (COL5A2) and lipoprotein lipase (LPL) were significantly higher in SKOV-3 derived exosomes than HOSEpic (p?

SUBMITTER: Cheng L

PROVIDER: S-EPMC6977352 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Proteomic and lipidomic analysis of exosomes derived from ovarian cancer cells and ovarian surface epithelial cells.

Cheng Lin L Zhang Kun K Qing Yunan Y Li Dong D Cui Manhua M Jin Peng P Xu Tianmin T

Journal of ovarian research 20200122 1

<h4>Background</h4>The limitation of current biomarker of early stage ovarian cancer and the anatomical location of ovarian (depths of the pelvic) make ovarian cancer difficult to be detected in early stage. Growing evidence shows exosomes as key information transmitters, it carried molecules, such as miRNAs, proteins, lipids, double-stranded DNA have been reported as promising biomarkers in many diseases. However, little is known about the protein and lipid composition of ovarian cancer.<h4>Met ...[more]

PMID: 31969186

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Project description:BACKGROUND:How exosomal microRNAs (miRNAs) derived from macrophages contribute to the development of drug resistance in the context of the hypoxic tumor microenvironment in epithelial ovarian cancer (EOC) remains poorly understood. METHODS:The miRNA levels were detected by qRT-PCR. Protein levels of HIF-1α, CD163 and PTEN-PI3K/AKT pathway were assessed by Western blot (WB) and Immunohistochemistry (IHC). Exosomes were isolated, and then confirmed by Transmission electron microscopy (TEM), Nanoparticle Tracking Analysis (NTA) and WB. Internalization of macrophages-secreted exosomes in EOC cells was detected by Confocal microscope. Subsequently, Dual-luciferase reporter assay verified PTEN was the target of miR-223. Gain- and loss-of-function experiments, rescue experiments, and SKOV3 xenograft models were performed to uncover the underlying mechanisms of miR-223 and PTEN-PI3K/AKT pathway, as well as the exosomal miR-223 in inducing multidrug resistance in vitro and in vivo. RESULTS:Here, we showed hypoxic EOC cells triggered macrophages recruitment and induced macrophages into a tumor-associated macrophage (TAM)-like phenotype; exosomes derived from hypoxic macrophages enhanced the malignant phenotype of EOC cells, miR-223 was enriched in exosomes released from macrophages under hypoxia, which could be transferred to the co-cultivated EOC cells, accompanied by enhanced drug resistant of EOC cells. Besides, results from a functional assay revealed that exosomal miR-223 derived from macrophages promoted the drug resistance of EOC cells via the PTEN-PI3K/AKT pathway both in vivo and in vitro. Furthermore, patients with high HIF-1a expression had statistically higher CD163+ cell infiltration and intertumoral levels of miR-223. Finally, circulating exosomal miR-223 levels were closely related to the recurrence of EOC. CONCLUSIONS:These data indicate a unique role of exosomal miR-223 in the cross-talk between macrophages and EOC cells in chemotherapy resistance, through a novel exosomal miR-223/PTEN-PI3K/AKT signaling pathway.

Project description:Background Ovarian cancer is the most lethal tumor of the female reproductive system. Establishing a methodology to screen and diagnose ovarian cancer in the early stage is important. Exosomes have been shown to be loaded with tumor-associated molecules. In this study, we compared the proteins loaded in exosomes from the peripheral circulation of epithelial ovarian carcinoma (EOC) patients and controls. Methods Exosomes were purified via ultracentrifugation plus 0.22 µm filtration from the blood of EOC patients and patients with pelvic floor dysfunction (PFD). Tumor tissues and normal ovarian tissues were also obtained. Proteomic analyses of exosomes and tumor/normal ovarian tissues were performed with isobaric tags for relative and absolute quantitation (iTRAQ) and high-performance liquid chromatography/mass spectrometry (HPLC/MS) analyses. The LocDB (http://www.rostlab.org/services/locDB), PANTHER (http://www.pantherdb.org/) and Vesiclepedia databases were used for biological information analysis. Results We identified 408 differentially expressed proteins in exosomes from EOC patients and noncancer controls. Furthermore, we identified 954 differentially expressed proteins from ovarian cancer tissues and normal ovarian tissues. Thirty-five proteins exhibited upregulation in both cancer patient exosomes and cancer tissues. Among these 35 proteins, eight proteins (chloride intracellular channel protein 4, serine/threonine-protein kinase 1, aminoacyl tRNA synthetase complex-interacting multifunctional protein 1, sorting nexin-3, protein FAM49B, fermitin family homolog 3, tubulin beta-3 chain and lactotransferrin) were confirmed in both exosome databases and other studies. Conclusions We isolated exosomes from the peripheral blood of EOC patients and noncancer controls and identified 35 proteins that were upregulated in both EOC patient exosomes and ovarian cancer tissues. Comparisons with the exosome molecular databases and other studies identified eight proteins as potential tumor markers, which might offer new tools for the early diagnosis of ovarian cancer.

Dataset Information

Proteomic and lipidomic analysis of exosomes derived from ovarian cancer cells and ovarian surface epithelial cells.

Publications

Proteomic and lipidomic analysis of exosomes derived from ovarian cancer cells and ovarian surface epithelial cells.

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