1. Introduction
Ovarian cancer has the highest mortality rate among gynecological cancers [
1]. Due to the lack of obvious symptoms and effective screening methods, most patients are diagnosed at an advanced stage, and surgery is unable to remove all tumors, resulting in a poor prognosis [
2]. Advanced epithelial ovarian cancer (EOC) has widespread dissemination in the abdominal cavity with residual tumors after debulking surgery and resistance to chemotherapy drugs [
3,
4,
5]. EOC metastasis is mainly through peritoneal dissemination. At least one-third of patients with EOC develop ascites with a poor prognosis, in which their five-year survival declines sharply [
6].
Recent studies have indicated that cancer cells secrete extracellular vesicles (EVs), promoting cancer invasion, dissemination, and development in a cancer microenvironment [
7]. EVs include exosomes (EXs) and microvesicles, which are small membrane vesicles containing microRNAs (miRNAs), messenger RNAs, and proteins [
8,
9]. EXs are small vesicles of ~30–150 nm in size, developed within endosomes through membrane invaginations [
8]. The cancer-derived EXs participated in the promoting dissemination and metastasis from the initial stages to the development of secondary tumors [
10,
11,
12,
13]. EXs possess several unique advantages as biomarkers for the early detection of dissemination, because they are stable, abundant, and tumor-specific, and can be detected in the blood or ascites [
9]. Recent evidence has demonstrated that cancer cell EXs affect both autocrine cancer cells and paracrine on the microenvironment. A previous study indicated ovarian cancer EXs could transfer CD44 to the peritoneal mesothelium to invade the physical barrier [
14]. Ascites-derived EXs from ovarian cancer patients bring MMP1 mRNA and induce apoptosis in mesothelial cells [
15]. EXs released from EOC cells promote and shift the conversion from normal fibroblasts and adipose-derived mesenchymal stem cells to cancer-associated fibroblasts (CAFs) [
16,
17]), and activated mesenchymal phenotype [
18]. EOC primary tumors can create an advantageous microenvironment to help tumor attachment in distant organs through malignant ascites-derived EXs, which are dynamic remodeling tumor stroma and forming metastatic niches in the omentum from the CAF conversion [
19].
Collagen type II secreted from stromal fibroblasts may promote tumor growth and angiogenesis [
20], meanwhile, collagen type VI secreted from the base membrane, directly affects tumor growth, invasion, and metastasis in various neoplasms [
21]. Our previous study demonstrated that upregulation of collagen type VI α3 (COL6A3) may promote tumor invasion and metastasis in EOC [
22]. Furthermore, COL6A3 has been reported to be associated with cisplatin resistance in an autocrine manner [
23]. A recent study disclosed that chemotherapy upregulated the expression of collagen type VI in the omentum and peritoneum of EOC [
24]. COL6 is primarily derived from the tumor stroma, and increased COL6 gene expression in solid tumors is associated with shortened progression-free intervals and survival [
25].
The EXs from more aggressive EOC cells strongly enhance aggressive behavior in less aggressive tumors, which promote aggressiveness without changing the properties of EOC cells from non-aggressive to aggressiveness [
15]. To further investigate which components mainly affect aggressiveness underlying EXs from more aggressive ovarian cancer cells and in the microenvironment of ascites, we used ES2 cell line as a more aggressive phenotype exhibiting
fibroblast-like morphology that was isolated from the ovary of a female human with clear cell carcinoma, and SKOV3 cell line as a less aggressive phenotype exhibiting epithelial-like morphology that was derived from the ascites of a female human with serous cystadenocarcinoma. Our recent study showed COL6A3 could be detected in culture medium and is abundant in primary ovarian cancer tissues, disseminated metastatic omentum tissues, EOC spheroids, and MSC-OCSPCs appear to process the new function of promoting EOC in EMT, stemness, tumor growth, and metastasis [
22]. COL6A3 belongs to an extracellular matrix (ECM) gene and is classified as a mesenchymal type associated gene, which was the worst prognosis subtype in EOC from TCGA molecular subtype analyses [
22].
In this study, we elucidated for the first time COL6A3 transport via EXs from EOC and MSC-OCSPCs conferring invasiveness and metastasis in EOC cells. We evaluated treatment strategies focusing on lysosomes, autophagy inhibition, and possible target genes on EOC cells and EXs in vitro experiments and in vivo live mouse models.
3. Discussion
We first found COL6A3 exosomes promoting tumor dissemination and metastasis in epithelial ovarian cancer. Genetic knockdown COL6A3 or pharmacological inhibition of EXs release could abolish invasion and metastasis in EOC. In this study, high expressions of COL6A3 in EOC tissues associated with patients’ survival status had a worse survival outcome than those of low expressions from TCGA and GEO data. The expression of COL6A3 was significantly higher in the ovarian tumor and metastatic omentum tissues in the advanced stage than in the early stage in our EOC patients [
22]. Importantly, the COL6A3 was highly expressed in ES2 paclitaxel-resistant and ascites-derived MSC-OCSPCs cells and EXs. Ascites display aggressiveness and chemoresistance in ovarian cancer and lead to the dysregulation of lysosomal signaling, where lysosomes are critical for nutrient sensing and frequently associated with the rapamycin complex 1 (mTORC1) [
30]. Lysosomal signaling involves energy demand for cancer cells in nutrient sensing [
30]. Lysosomes are involved in the secretion of EX, and changes in lysosomal signaling and phenotype will also lead to changes in EX secretion [
31], which has been implicated in cisplatin resistance. Autophagy can transport proteins through unconventional secretory pathways and carry cargo to lysosomes for degradation of organelles from fusion with lysosomes to the plasma membrane and secretes cargo from the cell [
32]. Previous studies have shown that cancer cells release more EXs than non-malignant cells, making autophagy inhibitors decrease EX secretion a new anticancer therapy strategy [
33]. The EXs biogenesis inhibitor GW4869 is the most widely used pharmacological agent to block EXs generation, reduce EXs release by nSMase inhibition, and reduce the number of EXs released. Inhibition of mTORC1 by rapamycin, a lysosome function enhancer, and an autophagy inducer, also could inhibit exosomal release [
34].
Our previous studies show COL6A3 regulates the CDK4/6-pRb and AKT-mTOR pathways and promotes EOC stemness, invasion, and metastasis [
22,
28]. The combination of everolimus (mTOR inhibitor) and 5-aza-2-deoxycytidine (demethylating agent) can effectively inhibit the production of ovarian clear cell cancer stem-like/spheroid cells by inhibiting the COL6A3-AKT-mTOR pathway and generate anti-tumor effect [
28]. In this study, we confirmed treatment with EXs inhibitor GW4869 or rapamycin-abolished including COL6A3-EXs may inhibit the aggressiveness in EOC. Limiting lysosomal exocytosis to reduce EX secretion may be an effective therapeutic strategy to reduce cancer cell invasiveness and chemoresistance [
35].
Higher exosome-derived miR-200b and miR-200c concentrations in stage III-IV EOC patients have shortened OS [
36]. EXs from EOC patients have higher concentrations of TGFB1, melanoma-associated antigen 3 (MAGE3), and MAGE6 [
37]. EXs from EOC also have a higher concentration of Claudin 4 associated with tumor stage and CA125 levels [
38]. EXs isolated from EOC plasma samples had higher CD24 and EpCAM [
39]. Furthermore, over 2,000 proteins in EXs secreted from OVCAR-3 and IGROV1 ovarian cancer cell lines have been identified and are involved in tumorigenesis and metastasis to form the predictive potential of exosomal profiling [
40]. However, more comprehensive clinical studies are needed to confirm the clinical value of this approach.
The cancer-associated fibroblasts (CAFs) can drive tumor proliferation, neo-vascularization, and invasion [
41,
42]. The tumor and the stroma reciprocal interactions establish a local microenvironment to accelerate tumor progression [
43]. ECM molecules signaling to stromal and cancer cells increase or decrease cancer progression. Type VI collagen is in the base membrane and interstitial matrix interface. During tumor progression, CAFs are the major players in the dysregulated collagen cause of tumor fibrosis and excessive collagen depositions in the tumor [
44,
45]. Collagen stiffens tissues through crosslink and linearization and becomes fibroblast-derived stromal collagens which is directly correlated with the poorer survival outcome for the patients [
46,
47,
48,
49,
50]. The exosomes from cancer cells through reprogramming or educating other cells prolong tumor survival and promote metastasis [
51,
52]. However, exosomes from the tumor microenvironments containing fibroblasts, mesothelial cells, adipocytes, and immune cells also affect cancer cells [
53]. To this end, we performed pharmacological inhibition of nSMase2 and genetic knockdown COL6A3 decreasing exosomes. We confirmed that the COL6A3 secreting is from EOC cells and tumor stroma via the exosomal pathway to affect EOC cells and ascites derived-MSC-OCSPCs. The results indicate COL6A3 possesses established a premetastatic niche in the microenvironment.
Our data showed COL6A3 has expression in more aggressive ES2 derivatives, especially in ES2 paclitaxel-resistant cells and ascites-derived MSC-OCSPCs and those EXs, but not in less aggressive SKOV3 cells, ES2 knockdown COL6A3 (ES2/shCOL6A3) and those EXs. It is speculated that COL6A3 in more aggressive ES2 cells secreted from EXs route to remodeling ECM to affect ascites-derived stromal progenitor cells and establish a metastatic niche. However, COL6A3 expression in the differential responses of chemotherapy-naïve and relapsed EOC tissues will provide a better understanding of the potential of COL6 as a therapeutic target. COL6A3 secretion from the EXs route is an uncovered field in EOC progression and metastasis. As COL6A3 is essential in facilitating tumor progression and metastasis, future studies targeting COL6A3 as a valuable biomarker for early diagnosis of chemotherapy drug resistance, metastasis, recurrence, and prediction of survival outcome by checking COL6A3 exosome from blood, ascites, or tissues of EOC’ patients, and mediated possible related signaling should be explored. It also holds promise for developing therapeutically targeting COL6-based conjugated antibodies or vaccines for EOC patients in the future.
4. Materials and Methods
4.1. Samples Collection
Ovarian Cancer tissues and discarded ascite samples obtained from surgery or symptom relief in patients with primary or recurrent ovarian cancer were immediately taken to the laboratory for processing. In vitro isolation and culture of OCSPCs from ascites and cancerous tissues were performed as described previously [
26]. Cell lines and cultures (ES2 and SKOV3) were obtained from the American Type Culture Collection (ATCC). Cells were maintained in a humidified atmosphere containing 5% CO2 at 37 °C and grown in McCoy’s 5A medium with 10% FBS. As previously described, we developed a paclitaxel-resistant ES2 cell line by continuously exposing cells to paclitaxel [
27]. The final paclitaxel concentrations that induced paclitaxel-resistant subclones called ES2TR were 160 nM.
4.2. Tumor Sphere Formation of Ovarian Cancer Stem-Like Cells
ES2, ES2TR160, and ascites isolated from EOC patients were cultured in tumor sphere (spheroid)-inducing conditions to induce tumor sphere formation. Briefly, cells were cultured in DMEM/F12 medium with 20 ng/mL bFGF, 20 ng/mL EGF, 10 ng/mL IGF, and 2% B27 (Invitrogen, Carlsbad, CA). Dissociated single cells (1×105 cells/mL) were seeded into ultra-low attachment plates (Corning 3262, Pittston, PA). After 7 days, we counted the spheres formed with an Olympus light microscope (Olympus, Tokyo, Japan). Then, tumor spheres obtained after 14 days were harvested and analyzed with flow cytometry.
4.3. ExoQuick-TC™
Biofluid was collected and centrifuged at 3000 × g for 15 minutes to remove cells and cell debris. The supernatant was transferred to a sterile vessel to add the appropriate volume of ExoQuick-TC to the biofluid. The well was mixed by inverting or flicking the tube, refrigerating overnight (at least 12 hours) at +4°C, and centrifuging the ExoQuick-TC/biofluid mixture at 1500 × g for 30 minutes. After centrifugation, the supernatant was aspirated. The residual ExoQuick-TC solution was spun down by centrifugation at 1500 × g for 5 minutes, and all fluid traces were removed by aspiration. Then resuspend the exosome pellet in 100-500 μl using sterile 1X PBS.
4.4. Nanoparticle Tracking Analysis
Purified exosomes were resuspended in 100 μL of 0.22 μm filtered PBS and analyzed using a NanoSight LM10 instrument (NanoSight, Salisbury, United Kingdom). The analysis was performed by applying a monochromatic 404 nm laser to dilute the exosomal preparation and measure the Brownian movements of each particle. The Nanoparticle Tracking Analysis software version 2.3 was used to analyze 60-second videos of data collection to give the mean, median, and mode of vesicle size and concentration.
4.5. Extracellular Exosomes (EXs) Flow Cytometry Analysis
EXs were incubated with biotinylated antibody-coated beads in 500 μl of bead wash buffer (System Biosciences, Inc.) overnight, in a 1.5 ml tube at 4°C. After the binding step, beads were stained with either anti-CD9, anti-CD34, anti-CD63, anti-CD81, anti-CD105, anti-CD117, or anti-CD133 antibodies (BD Biosciences), either biotinylated, APC, FITC, Pacific Blue, PE, or PE-Cy7 conjugated. After antibody binding, beads were washed with bead wash buffer and recovered using a magnetic stand (optional, cat# EXOFLOW700A-1). When using a biotinylated antibody, a step incubating with streptavidin-FITC (System Biosciences, Inc.) was added, followed by EXs stain buffer (System Biosciences, Inc.). Samples were analyzed using FACS LSRFortessa cytometers (BD Biosciences), and data were analyzed using FACS Diva or FlowJo (BD Biosciences).
4.6. COL6A3 Knockdown and Overexpression
The COL6A3 knockdown in MSC-OCSPCs and ES2 cells and overexpression in SKOV3 cells were described previously [
22].
4.7. LC-MS/MS Analysis
Protein digestion and dimethyl labeling of peptides The condition mediums were reduced with 10mM dithiothreitol, alkylated with 50mM iodoacetamide, and digested with Lys-C and trypsin. The digested peptides were labeled with isotopic formaldehyde (13CD2O, heavy labeled) and formaldehyde (CH2O, light labeled), respectively. Equal amounts of the heavy and light labeled peptides were mixed and desalted with StageTips with Empore™ SDB-CX disc membrane (3M, St. Paul, MN, USA).
NanoLC-MS/MS analyses. The peptides were analyzed using nanoLC-MS/MS on an online Dionex 3000 RSLC nanosystem (Thermo Fisher Scientific) coupled to an LTQ Orbitrap XL mass spectrometer (Thermo Fisher Scientific). SpeedVac dried the supernatant. Redissolved peptides with 0.5% acetic acid and 2% acetonitrile (ACN) and loaded onto an in-house-prepared 100μm×15cm tip column, were packed with 3μm ReproSil-Pur 120 C18-AQ reverse-phase beads and eluted at a flow rate of 500 nL/min. The mobile phases used for nanoLC will be 0.5% acetic acid in water (buffer A) and a mixture of 0.5% acetic acid and 80% ACN (buffer B). The LC gradient conditions were 5% to 40% buffer B in 60 min, 40% to 100% buffer B in 5 min, and 100% buffer B in 10 min. The LTQ Orbitrap XL system was operated in the positive ion mode and full-scan MS spectra (m/z 300-1600) were acquired on the Orbitrap analyzer with a resolution of 60000 at m/z 400. Raw files from LC-MS/MS were analyzed using the MaxQuant software. The differential expression levels were compared among different groups in group 1: ES2 cells and ES2 EXs versus ES2 cells, group 2: ES2 with ES2 TS EXs versus ES2 cells, and group 3: MSC-OCSPCs and ES2 EXs versus MSC-OCSPCs. The cutoff value was defined as the differential expression level>2.
4.8. Analysis of TCGA and GEO Data
We downloaded 372 TCGA OV RNA-Seq level 3 read count data (serous type) from the GDC Data Portal (
https://portal.gdc.cancer.gov/). The gene annotation file was used in GENCODE version 22 and obtained from GDC Reference Files (
https://gdc.cancer.gov/about-data/gdc-data-processing/gdc-reference-files), which the TCGA program used. Clinical follow-up information was found in the PanCanAtlas publication (
https://gdc.cancer.gov/about-data/publications/pancanatlas). We calculated the best cut-off by splitting patients into high and low expression, which was an autoselect, and computed all possible cutoff values between the lower and upper quartiles, and the best-performing threshold was used as a cutoff. Microarray data from GEO and TCGA for all subtypes and RNA-seq data from the TCGA data set for all subtypes and serous types were used for survival analysis. The survival curve was plotted by overall survival (OS) and progression-free survival (PFS) from 1656 and 1435 patients for GEO and TCGA data and 373 and 177 patients for TCGA data.
4.9. Invasion Experiments
For invasion assays, we used transwell chambers (8 μm, 24-well format; Corning Inc., Corning, NY, USA) or Matrigel-coated transwell chambers (BD Biosciences, San Jose, CA, USA) that were inserted into 24-well cell culture plates. SKOV3 cells, ES2 cells, or MSC-OCSPCs, (5× 104 cells in 0.2 mL of serum-free medium) were added to the upper chamber, and culture medium (McCoy’s 5A medium) in the lower chamber with a serum-free condition for the negative control, or containing 10% FBS for the positive control, or added culture medium (McCoy’s 5A medium) with a serum-free condition and treating EXs (30ug) from SKOV3, SKOV3/COL6A3, ES2, ES2/shCOL6A3, ES2 TS, ES2TR, S2TR TS, CSPCs, MSC-OCSPCs/shCOL6A3 or ES2 cells treated with GW4869 or rampamycin cell extracts. Cells were cultured for 1, 3 days, or 7 days, and cells that invaded the inserts were fixed in methanol for 20 min, stained with crystal violet, and counted in three random microscope fields (Olympus BX3, Olympus, Tokyo, Japan) at a magnification of 40×, 100×, or 200×.
4.10. Western Blot Analysis
Cells were lysed in phosphate-buffered saline (PBS) containing 1% Triton X-100 using an ultrasonic cell disruptor. Lysates were separated using SDS-PAGE (12.5%) and transferred to a polyvinylidene fluoride membrane (NEN). The membranes were blocked in blocking buffer (tris-buffered saline containing 0.2% Tween 20 and 1% I-block [NEN]) and incubated with polyclonal antibodies (Ab) separately for 1 h. A purified rabbit antihuman GAPDH polyclonal Ab (Santa Cruz Biotechnology, Inc., Dallas, TX, USA) was applied simultaneously to normalize the signals generated from the anti-COL6A3, CD9, and CD63 (Cell Signaling). After washing, an alkaline phosphatase-conjugated anti-rabbit antibody (Vector Laboratories, Burlingame, CA, USA) was applied. The membranes were washed, and the bound Abs were visualized by developing the nitro blue tetrazolium/5-bromo-4-chloro-3-indolyl phosphate chromogen.
4.11. In Vivo Animal Experiments and Tumor Imaging
Female null mice (BALB/cAnN.Cg-Foxn1nu/CrlNarl) were purchased from the National Animal Center (Taipei, Taiwan), and the Institutional Animal Care and Use Committee of Cathay General Hospital approved all experiments. In experimental 1, null mice at 5-7 weeks of age (5 mice/group) were injected intraperitoneally with luciferase-expressing SKOV3 cells, which displayed a less aggressive phenotype, were injected into the peritoneal cavity, and 10 μg of EXs from more aggressive ES2 cells or phosphate-buffered saline (PBS) were intraperitoneally injected twice weekly for 6 weeks. In experimental 2, null mice at 5-7 weeks of age (5 mice/group) were injected intraperitoneally with l×106 SKOV3/COL6A3 cells, which displayed a more aggressive phenotype, or l×106 less aggressive SKOV3 cells were injected into the peritoneal cavity. In experimental 3, l×106 SKOV3/COL6A3 cells or l×106 SKOV3 cells were given intravenously into the tail vein in mice. In experimental 4, SKOV3/COL6A3 cells were intravenously injected with 10 μg of EXs from SKOV3/COL6A3 cells or phosphate-buffered saline (PBS) twice weekly for up to 10 weeks to examine the tumor dissemination and growth. The body weight of mice was measured, recorded, and compared with the body change every week. The number and size of metastatic tumor nodules in mice were recorded and measured when mice were sacrificed. Disseminated tumor numbers were measured and counted using calipers, and volumes were calculated based on the modified ellipsoid formula (L × W × W/2). Tumor weights were measured following euthanasia at the endpoint. The histologic examination of tumor growth in the peritoneal cavity and lung was confirmed during H&E stains for diagnosis.
4.12. Statistical Analysis.
Data were analyzed using SPSS 16.0 (SPSS Inc., Chicago, IL, USA). All numerical data are expressed as the mean ± SD from at least three experiments. Significant differences between the two groups were determined using Student’s t-test, and important differences among more than two groups will be determined using a one-way ANOVA. Progression-free survival (PFS) and OS were calculated through the Kaplan-Meier method. Differences in survival curves were calculated using the log-rank test. p < 0.05 was considered statistically significant. P* represents p<0.05, p** represents p<0.01, p*** represents p<0.001.
Figure 1.
Exosomes characterization of cell lines (a) (right) These are phase-contrast images of #006 and #007 human ovarian carcinoma.
Figure 1.
Exosomes characterization of cell lines (a) (right) These are phase-contrast images of #006 and #007 human ovarian carcinoma.
Figure 2.
Invasion ability of EOC cell lines derived exosomes. The invasion ability was examined in ES2 (A and C) and SKOV3 (B and D) treated with and without ES2, ES2TR, ES2 tumor spheres, and ES2TR tumor spheres exosomes. The invasion ability of exosomes from ES2, ES2 TS, ES2TR, and ES2TR TS was remarkably enhanced in ES2 than in SKOV3 (p<0.001 for ES2, P<0.01 for SKOV3; respectively).
Figure 2.
Invasion ability of EOC cell lines derived exosomes. The invasion ability was examined in ES2 (A and C) and SKOV3 (B and D) treated with and without ES2, ES2TR, ES2 tumor spheres, and ES2TR tumor spheres exosomes. The invasion ability of exosomes from ES2, ES2 TS, ES2TR, and ES2TR TS was remarkably enhanced in ES2 than in SKOV3 (p<0.001 for ES2, P<0.01 for SKOV3; respectively).
Figure 3.
Invasion ability of autocrine and paracrine effects in EOC cell lines derived exosomes. (a) The invasion ability was examined in epi-OCSPCs and MSC-OCSPCs treated with and without ES2, ES2TR, ES2 tumor spheres, and ES2TR tumor spheres exosomes. The invasion ability was only significantly enhanced in MSC-OCSPCs (p<0.01) treated with ES2 exosomes, but not in epi-OCSPCs. (b) The invasion ability was substantially increased in MSC-OCSPCs treated with than without ES2 exosomes (p<0.001). Simultaneously, the invasion ability was greater in ES2 cells treated with MSC-OCSPCs exosomes than those without MSC-OCSPCs exosomes (p<0.01).
Figure 3.
Invasion ability of autocrine and paracrine effects in EOC cell lines derived exosomes. (a) The invasion ability was examined in epi-OCSPCs and MSC-OCSPCs treated with and without ES2, ES2TR, ES2 tumor spheres, and ES2TR tumor spheres exosomes. The invasion ability was only significantly enhanced in MSC-OCSPCs (p<0.01) treated with ES2 exosomes, but not in epi-OCSPCs. (b) The invasion ability was substantially increased in MSC-OCSPCs treated with than without ES2 exosomes (p<0.001). Simultaneously, the invasion ability was greater in ES2 cells treated with MSC-OCSPCs exosomes than those without MSC-OCSPCs exosomes (p<0.01).
Figure 4.
Heat map of differential expression of EOC exosomes. The heat map shows group 1: ES2 cells and ES2 EXs versus ES2 cells and group 3: MSC-OCSPCs and ES2 EXs versus MSC-OCSPCs, using LC-MS/MS analyses.
Figure 4.
Heat map of differential expression of EOC exosomes. The heat map shows group 1: ES2 cells and ES2 EXs versus ES2 cells and group 3: MSC-OCSPCs and ES2 EXs versus MSC-OCSPCs, using LC-MS/MS analyses.
Figure 5.
COL6A3 expression in EOC cell lines and derived exosomes. (A) and (B) COL6A3 was expressed in ES2 derivatives, SKOV3/COL6A3, and MSC-OCSPCs derived exosomes and lysates compared to no expression in SKOV3 and ES2/shRNA derived exosomes and cell lysates. (C) The CD9 and CD63 representative exosome markers were seen in ES2 derivative, SKOV3/COL6A3, and MSC-OCSPCs derived exosomes, but CD9 and CD63 were not detected in those cell lysates. (D) immunostaining of COL6A3 was positive staining in ovarian serous carcinoma stromal cells which surrounded cancer cells with negative staining.
Figure 5.
COL6A3 expression in EOC cell lines and derived exosomes. (A) and (B) COL6A3 was expressed in ES2 derivatives, SKOV3/COL6A3, and MSC-OCSPCs derived exosomes and lysates compared to no expression in SKOV3 and ES2/shRNA derived exosomes and cell lysates. (C) The CD9 and CD63 representative exosome markers were seen in ES2 derivative, SKOV3/COL6A3, and MSC-OCSPCs derived exosomes, but CD9 and CD63 were not detected in those cell lysates. (D) immunostaining of COL6A3 was positive staining in ovarian serous carcinoma stromal cells which surrounded cancer cells with negative staining.
Figure 6.
The invasion ability of overexpressed and knockdown-EOC cells with those exosomes (A) was examined in SKOV3 and SKOV3-COL6A3 cells treated with and without those respective EXs. The invasion ability was significantly greater in SKOV3 and SKOV3-COL6A3 cells treated with those respective EXs than those without EXs (both, P<0.001). (B, C, and D) The invasion ability was examined in ES2 and ES2 knockdown COL6A3 cells and EXs. The invasion ability was significantly greater in ES2 cells or with ES2 EXs than in ES2 knockdown COL6A3 cells or with EXs (both, p<0.05).
Figure 6.
The invasion ability of overexpressed and knockdown-EOC cells with those exosomes (A) was examined in SKOV3 and SKOV3-COL6A3 cells treated with and without those respective EXs. The invasion ability was significantly greater in SKOV3 and SKOV3-COL6A3 cells treated with those respective EXs than those without EXs (both, P<0.001). (B, C, and D) The invasion ability was examined in ES2 and ES2 knockdown COL6A3 cells and EXs. The invasion ability was significantly greater in ES2 cells or with ES2 EXs than in ES2 knockdown COL6A3 cells or with EXs (both, p<0.05).
Figure 7.
EOC-derived EXs accelerated cancerous peritoneal dissemination. (a) The representative pictures of 6/7 mice IP injected 1×106 SKOV3 cells with ES2-exosomes had disseminated tumors in the peritoneal cavity compared to 1/3 mice injected 1×106 SKOV3 cells with PBS (p=0.097, by student’s t-test). The average disseminated tumor numbers in the peritoneal cavity were significantly greater in mice receiving SKOV3 cells with ES2-exosomes than SKOV3 cells with PBS (p<0.01, by student’s t-test). (b) The representative histologic pictures of disseminated peritoneal tumors were shown in microscopic 40X and 200X.
Figure 7.
EOC-derived EXs accelerated cancerous peritoneal dissemination. (a) The representative pictures of 6/7 mice IP injected 1×106 SKOV3 cells with ES2-exosomes had disseminated tumors in the peritoneal cavity compared to 1/3 mice injected 1×106 SKOV3 cells with PBS (p=0.097, by student’s t-test). The average disseminated tumor numbers in the peritoneal cavity were significantly greater in mice receiving SKOV3 cells with ES2-exosomes than SKOV3 cells with PBS (p<0.01, by student’s t-test). (b) The representative histologic pictures of disseminated peritoneal tumors were shown in microscopic 40X and 200X.
Figure 8.
Overexpressed COL6A3 in EOC-derived EXs accelerated cancerous peritoneal dissemination. (a) The representative pictures of average disseminated tumor numbers in the peritoneal cavity were significantly greater in mice receiving SKOV3 overexpressed COL6A3 (SKOV3/COL6A3) than in SKOV3 cells (p<0.001, by student’s t-test). 1/8 mice IV injected 1×106 SKOV3/COL6A3 cells had colonization to lung compared to 0/32 mice injected 1×106 SKOV3 cells only (p=0.043, by student’s t-test). (b) The representative histologic pictures of the peritoneal tumor and lung colonization were shown in microscopic 40X and 200X. The right lower panel showed the differential body weights of mice among IP and IV groups of SKOV3 cells, SKOV3 cells with ES2 exosomes, and SKOV3/COL6A3 cells.
Figure 8.
Overexpressed COL6A3 in EOC-derived EXs accelerated cancerous peritoneal dissemination. (a) The representative pictures of average disseminated tumor numbers in the peritoneal cavity were significantly greater in mice receiving SKOV3 overexpressed COL6A3 (SKOV3/COL6A3) than in SKOV3 cells (p<0.001, by student’s t-test). 1/8 mice IV injected 1×106 SKOV3/COL6A3 cells had colonization to lung compared to 0/32 mice injected 1×106 SKOV3 cells only (p=0.043, by student’s t-test). (b) The representative histologic pictures of the peritoneal tumor and lung colonization were shown in microscopic 40X and 200X. The right lower panel showed the differential body weights of mice among IP and IV groups of SKOV3 cells, SKOV3 cells with ES2 exosomes, and SKOV3/COL6A3 cells.
Figure 9.
Overexpressed COL6A3 in EOC-derived EXs accelerated lung colonization. 5/8 mice IV injected 1×10
6 SKOV3/COL6A3 cells and 10μg SKOV3/COL6A3-exosomes had colonization to lung compared to 0/8 mice injected 1×10
6 SKOV3 cells and PBS (p=0.007, by student’s t-test) and 1/8 mice IV injected 1×10
6 SKOV3/COL6A3 cells (p=0.039) (
Figure 8(b)). The histologic pictures of lung colonization tumors were shown in microscopic 40X and 200X.
Figure 9.
Overexpressed COL6A3 in EOC-derived EXs accelerated lung colonization. 5/8 mice IV injected 1×10
6 SKOV3/COL6A3 cells and 10μg SKOV3/COL6A3-exosomes had colonization to lung compared to 0/8 mice injected 1×10
6 SKOV3 cells and PBS (p=0.007, by student’s t-test) and 1/8 mice IV injected 1×10
6 SKOV3/COL6A3 cells (p=0.039) (
Figure 8(b)). The histologic pictures of lung colonization tumors were shown in microscopic 40X and 200X.
Figure 10.
The overall survival of COL6A3 expression. The overall survival of high expression of COL6A3 was significantly higher than those with low expression in (a) all subtypes and (b) serous subtypes of EOC patients from TCGA and GEO data.
Figure 10.
The overall survival of COL6A3 expression. The overall survival of high expression of COL6A3 was significantly higher than those with low expression in (a) all subtypes and (b) serous subtypes of EOC patients from TCGA and GEO data.
Figure 11.
GW4869 and Rapamycin decreased the invasion ability from EOC EXs. The invasion ability was inhibited in ES2 with ES2-treated with (a) GW4869 or (b) rapamycin exosomes than ES2 with ES2 exosomes.
Figure 11.
GW4869 and Rapamycin decreased the invasion ability from EOC EXs. The invasion ability was inhibited in ES2 with ES2-treated with (a) GW4869 or (b) rapamycin exosomes than ES2 with ES2 exosomes.