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Targeting epithelial-mesenchymal transition and cancer stem cells for chemoresistant ovarian cancer

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Oncotarget. 2016; 7:55771-55788. https://doi.org/10.18632/oncotarget.9908

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Junli Deng, Li Wang, Hongmin Chen, Jingli Hao, Jie Ni, Lei Chang, Wei Duan, Peter Graham and Yong Li _

Abstract

Junli Deng1,2,3,4, Li Wang3,4, Hongmin Chen3,4, Jingli Hao1,2, Jie Ni1,2, Lei Chang1,2, Wei Duan5, Peter Graham1,2 and Yong Li1,2

1 Cancer Care Centre, St George Hospital, Kogarah, NSW, Australia

2 St George and Sutherland Clinical School, University of New South Wales (UNSW), Kensington, NSW, Australia

3 Department of Gynecological Oncology, Henan Cancer Hospital, Zhengzhou, Henan, China

4 Zhengzhou University, Zhengzhou, Henan, China

5 School of Medicine, Deakin University, Waurn Ponds, Victoria, Australia

Correspondence to:

Yong Li, email:

Keywords: ovarian cancer, EMT, CSC, chemoresistance, therapy

Received: February 11, 2016 Accepted: May 30, 2016 Published: June 09, 2016

Abstract

Chemoresistance is the main challenge for the recurrent ovarian cancer therapy and responsible for treatment failure and unfavorable clinical outcome. Understanding mechanisms of chemoresistance in ovarian cancer would help to predict disease progression, develop new therapies and personalize systemic therapy. In the last decade, accumulating evidence demonstrates that epithelial-mesenchymal transition and cancer stem cells play important roles in ovarian cancer chemoresistance and metastasis. Treatment of epithelial-mesenchymal transition and cancer stem cells holds promise for improving current ovarian cancer therapies and prolonging the survival of recurrent ovarian cancer patients in the future. In this review, we focus on the role of epithelial-mesenchymal transition and cancer stem cells in ovarian cancer chemoresistance and explore the therapeutic implications for developing epithelial-mesenchymal transition and cancer stem cells associated therapies for future ovarian cancer treatment.


Introduction

Ovarian cancer (OC) is the leading cause of mortality from cancers of female reproductive tract in the world. Epithelial ovarian cancer (EOC) accounts for nearly 90% of all ovarian malignant diseases. EOCs fall into four main subtypes: serous, mucinous, endometrioid, and clear cell. In 2012, OC accounted for 151,900 deaths worldwide and there were 238,700 patients diagnosed with OC, according to the latest GLOBOCAN estimates [1]. OC is highly curable at stage I when it is confined to the ovaries, with an expected 5-year survival rate of 89% [2]. However, due to the absence of specific symptoms and the lack of an effective screening strategy, approximately 75% of women present at an advanced stage disease, where the cancer has spread within peritoneal cavity and the overall survival (OS) rates are only 17-36% [2].

For the early stage OC patients, surgery can completely remove tumor and then give patients a full recovery. For the advanced stage OC patients, cytoreductive surgery followed by platinum/taxane acts as a standard therapy, resulting in a 75% high initial response rate [3]. Although some patients may represent repeatedly sensitive to platinum, most patients will ultimately develop tumor recurrence and succumb to chemoresistant disease. Thus, improved targeting therapies and chemosensitization strategies are essential for reducing the mortality of this devastating malignancy.

Chemoresistance in cancer chemotherapy is a complicated process and affected by many factors. Although the exact mechanisms of OC chemoresistance and metastasis are still unclear, accumulating evidence supports that epithelial-mesenchymal transition (EMT) and cancer stem cells (CSCs) play critical roles in the development of resistance to chemotherapy, tumor relapse and metastasis of OC patients [4-7]. Understanding the mechanisms of chemoresistance will help develop novel therapies to improve OC patients’ survival. In this review, we focus on the roles of EMT and CSCs in OC chemoresistance, and explore the EMT/CSC-based therapies for future OC treatment.

EMT in ovarian cancer chemoresistance

EMT in OC metastasis

EMT is a process by which epithelial cells assume mesenchymal characteristics, facilitating migration through the extracellular matrix and settlement in areas of new organ formation during embryogenesis. This cell switch is known to be integral in development, wound healing and stem cell behavior, and contributes pathologically to fibrosis and cancer progression [8]. EMT occurs through down-regulation of E-cadherin, Cytokeratins, ZO-1, Claudins, Occludin, Laminin-1, Entactin, MUC-1, and the microRNA (miR-200 family), and up-regulation of the transcription factors Snail1, Snail2, Twist, Zeb1 and Zeb2/SIP1, E47, KLF8, E2.2, Goosecoid, LEF-1, and FoxC2, as well as N-cadherin, Vimentin, Fibronectin, miR-10b, and miR-21 [9-11]. In addition, EMT was reported to be induced by multiple signals, including growth factors, the Wnt/β-catenin signaling pathway, integrins, Notch transcription factors, prostaglandin E2, Cyclooxygenase-2, and hormones [9, 12].

During cancer progression, EMT appears to promote dissemination of cells from the tumor mass [13] and facilitate tissue invasion by regulating the production of matrix metalloproteases and altering cytoskeletal organization [14]. EMT plays an important role in OC metastasis. It was reported that EMT was induced by transforming growth factor-β (TGF-β), epidermal growth factor (EGF), hepatocyte growth factor (HGF) and endothelin-1 (ET-1) in OC cell lines [15]. Kajiyama and colleagues found that high level expression of Twist1 is associated with the FIGO stage as well as positive peritoneal cytology and predicts poor clinical outcomes in patients with clear cell carcinoma (CCC) of the ovary, suggesting that Twist1 may play a critical role in the metastatic process of CCC of the ovary [16]. Similarly, by comparing 54 cases of OC and paracancerous tissues, it was found that up-regulation of Twist is correlated with OC metastasis [17]. In another study, analysis of 174 primary tumors and 34 metastases of OC by immunohistochemistry (IHC) demonstrated a reduced E-cadherin expression and an increased expression of Snail are significantly associated with peritoneal metastasis and both the progression-free survival (PFS) and OS in patients with OC [18]. Zeb1, an important transcriptional suppressor of EMT, was found to be positively correlated with migration ability in SKOV-3 and HO8910 EOC cell lines, and the down-regulation of Zeb1 with short hairpin RNA (shRNA) in SKOV-3 cells could significantly decrease tumor growth in mice xenograft [19]. These data support the significant role of EMT in OC progression, indicating targeting EMT holds promise to prevent OC progression.

EMT in ovarian cancer chemoresistance

Increasing evidence demonstrates that there is a close relationship between EMT and chemoresistance in OC. Treatment with chemotherapeutics in vitro can induce chemoresistance and EMT. It was reported that continuous exposure to increasing doses of paclitaxel induced chemoresistance as well as EMT, and enhanced metastasis potential in EOC cells (NOS-2, TAOV and SKOV-3) [20]. Similarly, Latifi et al observed that cisplatin induced Twist1 expression in OVCA443 EOC cell line, with increased cell migration [21]. After treatment by carboplatin, the SKOV-3 EOC cells were demonstrated triggering both EMT and chemoresistance [22].

EMT markers and transcription factors are in correlation with chemoresistance in OC. In one study, up-regulation of EMT-related transcription factors Snail, Slug, Twist2 and Zeb2 in gene level and Snail, Slug, Vimentin in protein level was found in cisplatin resistant EOC cell line A2780-cis compared with cisplatin sensitive EOC cell line A2780 using gene expression and proteomic analysis, respectively [23]. Using 100 fresh advanced-stage ovarian serous carcinoma effusions, Davidson et al analyzed 10 EMT and CSC protein markers including E-cadherin, N-cadherin, P-cadherin, Zeb1, HMGA2, Rab25, CD24, NCAM (CD56), Sox11 as well as Vimentin, and identified Vimentin and Zeb1 as markers of poor chemoresponse in metastatic serous ovarian carcinoma effusions [24]. It was also found that reversal of EMT by down-regulating EMT makers can restore the chemosensitivity in OC. For example, Haslehurst et al found that, by reducing expression of Snail and Slug, the mesenchymal phenotype was largely reduced and cells were re-sensitized to cisplatin [23]. These findings demonstrate EMT has a critical role in OC chemoresistance, and inhibiting or reversing EMT could be a good choice in the treatment of OC.

The potential mechanisms of EMT in OC chemoresistance are still not fully uncovered. Accumulating evidence from preclinical and human tissue studies indicates that several important signaling pathways may contribute to OC chemoresistance via EMT, resulting in tumor metastasis and recurrence after chemotherapy. Different EMT-related signaling pathways associated with OC chemoresistance are summarized in Table 1. In Kurrey’s study, both Snail and Slug were shown to impose acquisition of the CSC-like phenotype and chemoresistance in OC cells by overcoming p-53 mediated apoptosis [25]. Yue et al reported that hyperactive EGFR/STAT3 signaling promoted EMT during OC cisplatin resistance development [26]. By studying the molecular profiles from 23 stage III-IV OC biopsies at primary surgery, it was found that the activation of EMT by the TGF-β pathway is a signature indicative of resistance to platinum-based chemotherapy [5]. In another study, it was found that Notch3 activation induces EMT and attenuates carboplatin-induced apoptosis which is associated with inhibition of carboplatin-induced ERK phosphorylation in OVCA429 cells [27], indicating that Notch3 is associated with OC carboplatin resistance.

Table 1: The EMT-related signaling pathways in OC chemoresistance

Pathway

Experiment approach

EMT markers

Chemodrugs used in OC chemoresistance

Reference

p53 mediated apoptosis pathway

in vitro cell lines

Snail, Slug

paclitaxel

[25]

EGFR/Stat3 pathway

in vitro cell lines; in vivo animal models; and human tissues

Vimentin

cisplatin

[26]

TGF- β pathway

Human tissue

Zeb1

carboplatin and taxol

[5]

Notch3/ERK pathway

in vitro cell line

E-cadherin, Snail, Slug, SMA

carboplatin

[27]

In addition to signaling pathways, microRNAs (miRNAs) also play a significant role in EMT in OC chemoresistance, among which miR-200 family is the most important one. The aberrant expression of miR-200 family (miR-200a, miR-200b, miR-200c, miR-141 and miR-429) in OC and its involvement in EMT were well-demonstrated [28], illustrating the importance of miR-200 family in OC chemoresistance through promoting EMT process. Using a well-characterized OC tissue achieve (n = 72), it was demonstrated that patients without complete response (CR) to paclitaxel-based chemotherapy had lower miR-200c levels than patients with CR, additionally, low miR-200 family (miR-200c, miR-141, and miR-429) expression had a trend toward poor PFS [29]. In another study, by analyzing the differences between biopsies from primary surgery and second surgery for relapse after several lines of chemotherapy (SCR) of 23 stage III-IV OC patients, the median expression levels of miR-200 family was observed to be down-regulated nearly two-fold in SCR group compared with those in primary surgery group, and the up-regulation of Zeb1 parallels the turn-off of miR-200 [5]. In a recent study, it was shown that paclitaxel resistant OVCAR-3/CP and MES-OV/CP EOC cell lines displayed a strong EMT phenotype, with marked decreases in expression of miR-200c and miR-141 in OVCAR-3/CP, and down-regulation of all five members of miR-200 family in MES-OV/CP [30]. Following inhibition of miR-200c and miR-141 in parental OVCAR-3 cells, EMT was triggered and rendered the cells resistant to paclitaxel and carboplatin, while the infection of paclitaxel resistant variants, OVCAR-3/TP cells with retroviral particles carrying the miR-200ab429 and 200c141 clusters triggered a partial mesenchymal to epithelial transition, further indicating the important role of miR-200c and miR-141 in OC chemoresistance and EMT [30]. The putative mechanisms of EMT in OC chemoresistance are shown in Figure 1.

All findings suggest that EMT is closely linked with OC metastasis, chemoresistance and progression, which is regulated by different signaling pathways and microRNAs, and that identification of main signaling pathways and new miRNA associated with EMT is undoubtedly an important step to develop new modalities to prevent metastatic, recurrent OC and improve the clinical outcomes of OC patients.

Putative mechanisms of EMT in ovarian cancer chemoresistance and progression.

Figure 1: Putative mechanisms of EMT in ovarian cancer chemoresistance and progression. EMT process plays an important role in tumor invasion, metastasis, recurrence and chemoresistance. This process is potentially regulated by different mechanisms, including EMT inducer signaling pathways, EMT transcription factors, dyregulation of miRNAs as well as several kinds of growth factors. In addition, MET may also happen during tumor progression in order to allow tumor growth and colonization, resulting in tumor settlement.

Targeting EMT in OC treatment

Due to serious side effects of chemotherapy, targeted therapy plays a very important role in the current OC treatment. Accumulating evidence indicates that targeting EMT is a new developing research area and holds promise for chemoresistant OC patients in the future.

Developing cancer cell signaling pathway treatment is an important area for EMT-targeting therapy. In OVCA433 EOC cell line and tumors collected from advanced-stage EOC patients, ERK2 signaling pathway was found to be critical to cisplatin-induced EMT and CSC phenotypes. It was reported that the ERK inhibitor U0126 could block cisplatin-induced ERK2 activation, and sensitize the residual cells to increase cell death in response to cisplatin in vitro and inhibit cisplatin-induced migration in zebrafish embryos in vivo [21]. Hyperactive EGFR and the Jak-Stat3 pathways were found to be the key mediators of the EMT process associated with cisplatin resistance in cisplatin resistant EOC cell lines, and the combination of ZD1839 (EGFR inhibitor) or S3I-201 (Stat3 inhibitor) with cisplatin could sensitize cisplatin-resistant EOC cells in vitro and intra-peritoneal mouse xenografts in vivo [26]. Du et al found that EMT was related to the paclitaxel resistant A2780/PTX EOC cells, and the application of the PI3K inhibitor LY294002 could reverse the EMT phenotype and restore sensitivity to paclitaxel in A2780/PTX, indicating the therapeutic target of PI3K signaling pathway which is associated with EMT [31].

Epigenetic aberrations, including DNA methylation, histone modifications, and miRNA dysregulation also contribute to the EMT in OC. Therefore, reversing these changes has significant benefits as alternatives to traditional cytotoxic therapy. For example, epigenetic silencing of SFRP5 was observed to lead to oncogenic activation of the Wnt pathway and contribute to OC chemoresistance through the Twist-mediated EMT and AKT2 signaling, and the overexpression of SFRP5 inhibited EMT, down-regulated AKT2 and sensitized OC cells to chemotherapy, indicating the treatment promise of target reactivation of epigenetically silenced gene [32]. Trichostatin A, a histone deacetylase inhibitor or 5-aza-CdR, a DNA methyltransferase inhibitor, in combination with low-dose cisplatin significantly inhibited spheroid formation and tumorigenicity via the suppression of EMT and pluripotency of OC cells, both in vitro and in vivo. Most importantly, both epigenetic modifiers increased the sensitivity of the highly chemoresistant EOC cell line HEY to cisplatin, suggesting their promising application in OC chemoresistance treatment [33].

miRNAs have also shown their treatment promise in OC. Zhu et al demonstrated that miR-186 was detected to be associated with EMT and cisplatin-resistance in EOC cell lines (ACRP, C13* and OVCAR3/DDP) and human EOC tissues (cisplatin-sensitive tumors vs cisplatin-resistant tumors), and the introduction of miR-186 to EOC cells led to reduction of Twist1 as well as EMT, and rendered the cells more sensitive to cisplatin in vitro and in vivo [34]. Similarly, it was reported that miR-506 is associated with better therapy response and PFS and OS in EOC by analyzing The Cancer Genome Atlas (ACGA) (n = 486) and Bagnoli (n = 130) datasets [35]. As a result, miR-506 sensitizes EOC cells to chemotherapy and inhibits EMT-mediated metastasis.

In terms of the application of EMT marker targeting, Chiu et al illustrated that FOXM1 was a critical regulator of the EMT, stemness, and chemoresistance in EOC cells, and the combination of FOXM1 inhibitor thiostrepton and cisplatin inhibited the expression of EMT related markers (OCT4, Nanog, Notch-1) in chemoresistant A2780CP70 cells and growth of ovarian xenograft tumors in a subcutaneous (s.c) mouse model, indicating the promising application of EMT targeted therapy for future EOC treatment [36].

Some other small molecular inhibitors have also demonstrated the ability to reverse EMT and potentially increase chemosensitivity in OC. Using a gold nanoparticles (AuNPs), Xiong et al reversed cisplatin-induced chemoresistance by inhibiting EMT in vitro using EOC cell lines (A2780, OVCAR5, SKOV3-ip), and sensitized orthotopically implanted ovarian tumors to a low dose of cisplatin in vivo on athymic nude female mice [37]. Targeting EMT with different approaches in OC is shown in Table 2.

All findings support that targeting EMT is a bright research area to prevent OC chemoresistance and it is worthwhile developing combination approaches in the future to improve current modalities. However, we need to realize that although these agents can reverse OC chemoresistance for combination therapy, they have very broad activities or targeting signaling pathways that are not limited to the EMT targeting. Therefore, when choosing these agents for combination therapy, we should maximise their anti-EMT effects and avoid their side effects.

Table 2: Targeted therapy for reversing EMT in the treatment ovarian cancer chemoresistance

Approach for EMT targeting

Chemodrug used in combination

Target

Effect

Targeting site mechanism

Experiment type

Reference

Thiostrepton

cisplatin

FOXM1

Chemosensitivity↑, stemness↓

EMT-related marker (FOXM1)

in vitro,

in vivo

[36]

UO126

cisplatin

ERK

Chemosensitivity↑, migration↓

EMT-related ERK pathway

in vitro,

in vivo

[21]

S31-201

cisplatin

Stat3

Chemosensitivity↑

EMT-related Jak-Stat3 pathway

in vitro,

in vivo

[26]

ZD1839

cisplatin

EGFR

Chemosensitivity↑

EMT-related EGFR pathway

in vitro,

in vivo

[26]

LY294002

paclitaxel

PI3K

Chemosensitivity↑

EMT-related PI3K pathway

in vitro,

in vivo

[31]

Zibotentan

cisplatin or taxol or paclitaxel

ETAR

Chemosensitivity↑, invasiveness↓

EMT-related ETAR/b/are-stin-1 pathway

in vitro,

in vivo

[38]

SFRP5 expression vector

cisplatin or taxol or etoposide

SFRP5

Chemosensitivity↑

Epigenetic therapy

in vitro,

in vivo

[32]

Trichostatin A

cisplatin

histone deacety-lase

Chemosensitivity↑

Epigenetic therapy

in vitro,

in vivo

[33]

5-aza-CdR

cisplatin

DNA methylt-ransfer

-ase

Chemosensitivity↑

Epigenetic therapy

in vitro,

in vivo

[33]

miRNA-186

cisplatin

Twist 1

Chemosensitivity↑

Epigenetic therapy

in vitro,

in vivo

[34]

miRNA-506

cisplatin and olaparib

RAD51 and Snail1

Chemosensitivity↑, metastasis↓

Epigenetic therapy

in vitro,

in vivo

[35]

AuNPAs

(gold nanoparticle)

cisplatin

N/A

Chemosensiti-vity↑,

metastasis↓

Targeted therapy

in vitro,

in vivo

[37]

Notes: N/A: not available; ↑: increase; ↓: reduce

CSCs in ovarian cancer chemoresistance

CSC models

Although there exists a long-lasting debate regarding the origin of CSCs, it is widely accepted that tumors are composed of phenotypically and functionally heterogeneous cells and CSCs are only a small subset of tumors cells. The stochastic model, hierarchy model and the dedifferentiation model are the three major theories as to how CSCs arises.

The earlier CSC model is a static one. According to stochastic model, tumor cells are biologically equivalent but behave variably due to stochastic influences (intrinsic and extrinsic factors). The core of this theory is that behaviors of tumor cells cannot be predicted and every tumor cell is thought to have the potential to behave the activity of CSCs [39]. The hierarchy model, which is the most universal accepted hypothesis, supports that tumors consist of distinct cell classes with differing functional abilities and behaviors on the basis of different intrinsic characteristics. Based on this model, CSCs are the only subpopulation possessing self-renewal and giving rise to non-tumorigenic progenies that make up the bulk of tumor [39]. However, data emerging in the last couple of years has revised the model to a dynamic one, where the hierarchical feature of the CSCs turns out to be more transient than once thought. That is, new progenies acquire the ability of self-renewal through de-differentiation of progenitor cells, as well as reversal of terminally differentiated cells [40]. The implications of CSCs and their offspring gaining self-renewal suggest the necessity to evolve current cancer treatments to target both bulk terminal differentiated cells and those with self-renewal potential [41] .

The putative CSC markers in ovarian cancer

Accumulating evidence indicates that CSCs have close relationship with OC progression, metastasis, therapeutic resistance and tumor recurrence. The concept of CSCs has opened new areas of research in carcinogenesis, but has more immediate translational potential of uncovering new treatment targets.

Ovarian CSCs (OCSCs) have been isolated from established OC cell lines, ascites, and primary and metastatic tumors [42-45]. They share several characteristics with normal stem cells, including the ability to form anchorage-independent spherical aggregates, express stem cell markers, undergo membrane efflux, form clones in culture and in addition, exhibit enhanced tumor-forming ability [46]. A number of cell surface markers have proved useful for the isolation of subsets enriched for OCSCs including CD44, CD133, CD117, CD24, ALDH1A1 and EpCAM.

CD44 is a cell-surface glycoprotein involved in cell-cell interactions, cell adhesion and migration. The multiple protein isoforms are encoded via a single gene by alternative splicing and are further modified by a range of post-translational modifications (PTMs) [47]. CD44 was well documented to be a common CSC marker in many cancers such as breast cancer, head and neck squamous cell carcinoma, pancreatic cancer, colon cancer, as well as OC, and proved to be correlated with therapeutic resistance. Zhang et al isolated and characterized ovarian cancer-initiating cells (OCICs) from primary ovarian tumors using CD44 and CD117 antibodies, which were fully capable of re-establishing their original tumor hierarchy in vivo, indicating that both CD44 and CD117 positive cells are OCSCs (Zhang, Balch et al. 2008). Besides, they also found that CD44+/CD117+ cells had increased chemoresistance to taxane and platinum-based chemotherapy as well as the ability to self-propagate [42]. Similarly, Alvero and colleagues showed that CD44+ cells were enriched in the ascites of OC patients, and the isolated CD44+ cells in mouse xenograftes gave rise to tumors with both CD44+ and CD44- cells, suggesting that those CD44+ cells can differentiate and self-renew with the feature of cancer-initiating cells, in addition, CD44+ EOC cells were demonstrated to be more resistant to paclitaxel and carboplatin compared with CD44- cells.[48].

CD117, also known as c-Kit or stem cell growth factor receptor, is a proto-oncogene encoded by the KIT gene. It is a type of tyrosine kinase receptor involved in cell signal transduction and has been shown to be involved in apoptosis, cell differentiation, proliferation, and cell adhesion [49]. CD117 was found to have high expression in OC cells [45]. Interestingly, using cancer cells isolated from human primary OC tissues and ascites, Luo and his colleagues demonstrated that CD117+ OC cells appeared to be highly tumorigenic than CD117- OC cells as it only took approximately 103 cells to be able to self-renew, differentiate, and regenerate tumor in mouse models, and CD117 expression was statistically correlated with resistance to conventional chemotherapy [50]. Another study also reported that the Wnt/β-catenin pathway which plays an important role in the development of chemoresistance is activated by CD117 in SKOV-3 and HEYA8 EOC cell lines [51], further confirming the importance of this marker in OC chemoresistance.

CD133, a pentaspan membrane glycoprotein, has been identified as a CSC marker for various cancers [52]. In EOC, CD133 has emerged as one of the most promising CSC markers based on in vitro cell lines, in vivo animal xeongrafts and human primary tumor experiments. It was reported that CD133+ A2780, PEO1 EOC cells generate both CD133+ and CD133- daughter cells, exhibiting enhanced resistance to platinum-based therapy in vitro and sorted CD133+ OC cells from A2780 line formed more aggressive tumor xenografts at a lower inoculum than their CD133- progenies on BALB/cAnNCr-nu/nu mice [43]. Curley et also found that tumor-derived CD133+ cells from human primary OC tissues have an increased tumorigenic capacity and are capable of recapitulating the original heterogeneous tumor in NOD/SCID mice compared with CD133- cells [44].

CD24, the cell surface protein, is highly expressed in many human cancers [53]. It was reported that CD24 could be used as a CSC marker in nasopharyngeal carcinoma [53], pancreatic cancer [54] and OC [55]. Gao et al isolated cancer cells from human primary ovarian tumor specimens and identified a sub-population defined by CD24 phenotype. Their experiments demonstrated that, compared with CD24- cells, CD24+ cells possesses stem-cell like characters with relative quiescence, self-renewal, differentiation, chemoresistance in vitro, and a xenograft injection of 5000 CD24+ cells produced tumors in nude mice, while injection of an equal number of CD24- cells failed to do so [55]. Using a transgenic murine model of OC, Burgos-Ojeda et al recently found CD24+ OC cells were enriched for cancer-initiating cells, and CD24+ cells have increased tumor sphere-forming capacity and play a role in tumor migration and metastasis [56]. However, Ment et al reported that the CD44+/CD24- phenotype in OC cells demonstrate CSC-like properties of enhanced differentiation, invasion, and resistance to chemotherapy and correlation to clinical endpoints with increased risk of recurrence and shorter PFS duration in patients with OC [57]. Gunjal et al also found that CD24- cells, if expanded from a singly sorted cell, may give rise to cells containing all of the markers, including CD24 [58]. Based on these findings, CD24 cell surface marker in CSC phenotype fluctuates with tumor environment and cell expansion, suggesting that the role of CD24 in OCSC remains plastic and inconclusive, and further investigation is needed to elucidate its role.

ALDH enzymes belongs to a family of evolutionarily conserved enzymes comprised of 19 isoforms that are localized in the cytoplasm, mitochondria or nucleus. Generally, ALDHs are generated by a wide variety of metabolic processes and are responsible for oxidizing aldehydes to carboxylic acids [59]. ALDH was initially used to isolate CSCs in leukemia, based on the increased ALDH activity using the aldeflour assay [60]. Landen et al for the first time isolated putative CSCs in OC by high ALDH activity, and showed that high ALDH expression predicts poor outcome in OC patients [61]. Later on, Silva et al demonstrated that as few as 11 enriched ALDH+CD133+ CSCs isolated from human ovarian tumors were sufficient to initiate tumors in mice and that the presence of ALDH+CD133+ cells in debulked primary tumor specimens correlated with reduced disease-free survival (DFS) and OS in OC patients, indicating that both ALDH and CD133 can be used as a functionally significant set of markers to identify OCSCs [62]. Liu et al. recently demonstrated that elevated ALDH expression was associated with poor prognosis in OC patients using meta-analysis [63]. Similarly, Mizuno et al also found high ALDH1 expression levels in human OC tissues are related to advanced stage in clear cell carcinoma cases and ALDH1 expression significantly reduced PFS. They also found that ALDH+ CSCs might have increased Nrf2-induced antioxidant scavengers, which lower ROS level relevant to chemoresistance in ovarian clear cell carcinoma [64]. In another study, high level expression of Lgr5 and ALDH1 in primary EOC was found to correlate with advanced tumor stage and grade as well as poor prognosis of the patients [65]. These data suggest ALDH is an OCSC marker associated with EOC progression and chemoresistance.

EpCAM (epithelial cell adhesion molecule), is a glycosylated, 30~40 kDa type I transmembrane protein, which was reported to be expressed on essentially all human adenocarcinoma, and is part of the signature of CICs in numerous solid tumors as well as normal stem cells [66]. EpCAM has been used as an important OCSC marker. Katia et al selected a CD44+/CD24+/EpCAM+/E-cadherin- subpopulation of cells from EOC cells (SKOV-3 and OVCAR-5) using flow cytometry, and found that this small population of cells (less than 1%) has increased colony formation and shorter tumor-free intervals on a mouse s.c xenograft model in vivo after limited dilution, showing initiating tumor cell properties, and is resistant to both doxorubicin and cispation therapies [67]. By evaluating the expression of EpCAM at both RNA and protein levels in 4 normal fresh-frozen ovaries and 96 EOC biopsies (50 primary ovarian carcinomas, 34 metastatic, and 12 recurrent ovarian tumors, respectively), Bellone et al. found that EpCAM was significantly expressed in EOC tissues compared to the normal ovary tissues, and metastatic/recurrent tumours were found to express higher levels of EpCAM than primary ovarian carcinomas. More interestingly, a high surface expression was also found in 100% (5/5) of the chemoresistant ovarian carcinoma cell lines derived from OC patients studied by flow cytometry [68]. These results indicate that EpCAM has significantlly clinical significance for targeting chemoresistant recurrent OC.

Using existing CSC makers to define OCSC is an important step to uncover OC chemoresistant mechanisms, find useful therapeutic targets and develop new treatment modalities to cure metastatic, recurrent OC. However, none of these current CSC markers are exclusively expressed by OC tissues, highlighting that it is imperative to use combinatorial makers or delineate more specific markers and techniques to detect OCSCs.

In addition to cell surface OCSC markers, side population (SP) cells also play an important role in identification of OCSCs. SP cells can be separated by using the fluorescent DNA-binding dye such as Vybrant® DyeCycleTM Violet [69], and Hoechst 33342 [70], depending on the expression of ATP-binding cassette transporters (ABC transporters), or the unique pattern of cell growth in specific cell culture medium for sphere formation [71]. The SP cells were normally demonstrated to be highly enriched for CSC markers and endowed with regenerative capacities. For instance, after several passages, purified sphere-forming cells were isolated and found to express various stem cell markers (stem cell factor, Notch-1, Nanog, ABCG2, and Oct-4)[72].

The studies from different groups have identified and isolated SP of OC cells with typical “CSC phenotype” (ability to self-renew, developing tumors in very small numbers~100 cells, resistance to therapy) [42, 55, 73-74]. In a systematic screen of 6 EOC cell lines, Boesch et al demonstrated that the SP of EOC cells defines a heterogeneous compartment exhibiting CSC characteristics and the exact identity of the CSC is still disguised by the high complexity of the CSC-containing compartment, suggesting that further functional studies are needed to determine whether a single cellular subset can unambiguously be defined as CSC or whether multiple stem cell-like cells with different properties coexist [69]. Yasuda et al found that the use of SP and aldehyde dehydrogenese bright (ALDHBr) overlapping population is a promising approach to isolate highly purified CSCs/CICs from OC cells and demonstrated this population exhibited higher tumor-initiating ability than that of SP cells or ALDH Br cells alone, enabling initiation of tumor with as few as 100 cells and showing higher sphere-forming ability, cisplatin resistance, adipocyte differentiation ability and expression of SOX2 than those of SP/ALDHLow, MP (main population)/ALDHBr and MP/ALDHLow cells [75]. SP population was reported to be increased in paclitaxel-resistant OC cell lines (2008/PX24, KF28TX, TU-OM-1 TX) but not increased in cisplatin-resistant cell lines (C13, KFr13, TU-OM-1 CDDP), suggesting SP cells are specially associated with paclitaxel resistance [76]. Using Hoechst 33342 dye efflux, Szotek et al identified and characterized SP cells from two distinct genetically engineered mouse OC cell lines (MOVCAR7 and 4306) with the capacity for self-renewal and production of heterologous non-SP progeny, and found that SP cells showed a higher tumor forming ability and chemoresistance than non-SP cells [70]. These results indicate SP population has an important role in OC chemoresistance.

Due to the importance of CSCs and the limitation of the current techniques to effectively detect CSCs, some new approaches are required to separate SP cells possessing CSCs properties for an in-depth investigation. All putative OCSC markers, origin and tumorigenicity in mice are shown in Table 3.

Table 3: Putative OCSC markers and tumorigenicity

Marker

Cell source

Minimum cell number required for tumorigenicity in mice

Reference

CD44

Primary human ovarian tumors

102 (CD44+/CD117+)

[42]

Ascites from OC patients

N/A

[48]

CD117

Primary human ovarian tumors and ascites

103 (CD117+)

[50]

CD133

A2780 cell line

103 (CD133+)

[43]

Primary human ovarian tumors

104 (CD133+)

[44]

CD24

Primary human tumors

5x103 (CD24+)

[55]

ALDH

A2780 cell line

103 (ALDH+/CD133-), 30 (ALDH+/CD133+)

[62]

EpCAM

SKOV-3, OVCAR-5 cell lines

102 (EpCAM+/CD24+/CD44+/ E-cadherin- from OVCAR-5)

[67]

SP

(efflux Vybrant® DyeCycleTM Violet)

A2780, A2780V, B2/92, B16/92, B17/92, IGROV1 cell lines

mice receiving 104 SP cells

succumbed to the tumor burden significantly earlier than did the NSP controls

[69]

SP

(efflux Hoechst 33342)

MOVCAR7 and 4306 mouse OC cell lines

1.5x105 SP at 10 weeks,

7.5 x105 SP at 7 weeks (MOVCAR 7 cell line)

[70]

SP

(efflux Hoechst 33342)

PTX-resistant cell lines

(2008/PX24, KF28TX, KFr13TX, and TU-OM-1 TX)

N/A

[76]

SP/ALDHBr

MCAS, HTBoA, OVCAR3,

OVSAHO, HEC-1cell lines

102

[75]

Notes: N/A: not available; NSP: non side population; SP: side population; OC: ovarian cancer; PTX: paclitaxel

Significance of CSCs in ovarian cancer chemoresistance

The CSC theory has offered a potential explanation for the relapse and resistance that occur in many tumors including OC after therapy [77]. CSCs prossess the capability to recapitulate a heterogeneous tumor upon transplantation and may produce tumors through self-renewal and differentiation into multiple cell types. These CSCs may provide a reservoir of cells that cause tumor recurrence after therapy [78]. CSCs embody the refractory nature observed among many cancers: very competent initial tumor establishment, extremely aggressive metastatic nature, resistance to chemo- and radiotherapy, correlation with advanced disease and resistance to current therapies. Therefore, if CSCs survive after anti-cancer treatment, recurrence and metastasis are expected. Thus, investigation of CSCs has been a hot spot of basic cancer research and is rapidly expanding into many related aspects of cancer research, including chemo-sensitization.

Meng and colleagues demonstrated that the increased numbers of CD44+ cells from OC cell lines (SKOV-3, TOV112D and ES2) and patient ascites samples increased chemoresistance, and that patient ascites samples with > 25% CD44+ cells had significantly decreased median PFS (6 month vs 18 month, P = 0.01) as well as propensity to recur (83% vs 14%, P = 0.003) [57]. Through comparison of chemoresistant and chemosensitive primary OC tissue samples, Bonneau et al found that CD44 expression on tumor cells appeared to correlate with OS and could be used as a predictor of chemoresistance [79]. Similarly, by comparing the paired primary, metastatic, recurrent OC tissues from 26 individual patients, another study showed that both the metastatic and recurrent tissues expressed higher level of CD44 than the patient matched primary tumors, and a significant association was found between CD44 expression and both the DFS and OS. In the following in vitro and in vivo experiments, they also observed the overexpression of CD44 in chemoresistant cell lines (SKOV-3TR, OVCAR-8TR), and the knockdown of CD44 by shRNA could significantly increase the sensitivity of OC cells (OVCAR8) to paclitaxel [80].

Zhang et al found associations between CD133+ and higher grade ovarian tumors, advanced stage disease, and decreased response to chemotherapy in 400 OC primary tissue samples, demonstrating that CD133+ tumors are associated with decreased OS and shorter disease free interval [81]. In a meta-analysis, high CD133 expression level was also found to correlate with advanced tumor stages and a worse prognosis (reduced 2-year survival) in patients with OC [81]. Using a functional enrichment strategy, Chau et al separated a SP of cells from SKOV-3 and HEYA8 EOC cell lines and found that the SP cells showed high CD117 expression, and the inhibition of CD117 (c-Kit) with c-Kit knockdown or imatinib (a c-Kit kinase activity inhibitor) could significantly reduce resistance to chemotherapeutic drugs (cisplatin/paclitaxel). [51]. Based on the analysis of 64 primary high grade ovarian serous carcinoma and peritoneal metastasis, it was demonstrated that patients with high CD117 expression in tumor cells had significantly shorter DFS, high CD133 expression was correlated with shorter DFS and OS, and CD133 was proved to be an independent prognostic factor in the high grade serous carcinomas [82]. It was reported that in 65 advanced stage OC patients, more than 20% of ALDH1A1+ cells were found to be correlated with decreased PFS [61]. Zhu et al reported that overexpression of CD24 in EOC was an independent indicator associated with a low survival rate, increased metastasis, and decreased survival time [83]. These data support OCSCs have clinical significance for patients’ survival and disease course.

Increasing number of studies have demonstrated that CSCs may confer growth advantage and metastasis in chemoresistant ovarian tumors [43, 45]. Silva et al reported that isolated ALDH+CD133+ OCSC-like cells from human primary ovarian tumors showed increased chemoresistance compared to their parental cells and the presence of ALDH+CD133+ cells in debulked primary tumors correlated with reduced disease-free and OS in OC patients [62]. Cole et al observed that short-term chemotherapy to EOC cell lines (SKOV-3 and OVCA429) resulted in the purification of a subpopulation of cells overexpressing CSC-related markers (CD117, CD133, OCT4 and Nanog), and those CSC-like cells exhibited increased chemoresistance [84]. Abubaker et al also demonstrated that the chemotherapy-treated residual ovarian tumors were enriched in cells with CSC phenotypes on mice xenograft with HEY cells injection while the cells lacking these characteristics were eliminated both in vitro and in vivo [85]. We have recently found increased CSC phenotypes (CD44v6, CD117, CD105, Snail and ALDH1) and colony formation ability in a chemoresistant EOC cell line A2780-cis compared to their parental cell line A2780 (Figure 2). All these results suggest that chemoresistance has a close relationship with CSCs in OC, and the existence of CSCs may be the source of chemoresistance and recurrence.

Increased CSC phenotype in EOC-cis resistant cells compared with EOC-control cells.

Figure 2: Increased CSC phenotype in EOC-cis resistant cells compared with EOC-control cells. A. Representative immunofluorescence images are shown for increased expression of CSC related markers (CD44v6, CD117, CD105, Snail and ALDH1) in A2780-cis resistant cells compared with A2780-control cells. Nuclei were stained with PI. Magnification: all images x 600. B. Western blotting results were consistent with immunofluorescence staining results. β-actin was used as a loading control. C. Increased clone forming ability was found in A2780-cis resistant cells compared with A2780 cells (P < 0.05). D. Typical images for colony growth in A2780-cis and A2780 cells. The results were from 3 independent experiments (n = 3).

The potential mechanisms of CSCs in ovarian cancer chemoresistance

The mechanism of CSCs in OC chemoresistance and recurrence is complex and not fully understood. It is possible that decreased chemotherapy responsiveness of CSCs may be partly due to the slow proliferation rate, cell cycle arrest, the high expression of ATP transporters, efficient DNA protection and repair mechanisms, the activation of some CSC-related signaling pathways, inactivation of cell death pathways, and the inherent epigenetic aberrations. The putative mechanisms of CSC in OC chemoresistance are shown in Figure 3.

Putative mechanisms of CSCs in OC chemoresistance.

Figure 3: Putative mechanisms of CSCs in OC chemoresistance. Ovarian cancer stem cells (OCSC) can be enriched after chemotherapy. The OCSCs may be related with several mechanisms including cell cycle arrest, increased DNA protection and repair enzyme system, inherent epigenetic aberration, the activation of some cell signaling pathways related to cell survival, inactivation of some cell signaling pathway correlated with cell death, as well as the high ATP binding cassette drug transporter system. These mechanisms contribute to ovarian cancer invasion, metastasis, recurrence and chemoresistance. EMT: epithelial mesenchymal transition.

It was reported that conventional chemotherapeutic treatment, which usually targets fast-dividing cells and acts in a cell-cycle specific manner, entitles CSCs the survival advantage because of their slow proliferation rate [86]. Gao et al found that CD24+ CSC cells were relatively quiescent and enriched at the S phase, leading to the chemotherapeutic resistance to cisplatin treatment compared with CD24- OC cells from human ovarian tumor specimens [55]. Abubaker et al demonstrated that a short-term single exposure of chemotherapy induced surviving OC cells with a CSC-like profile which was independent of the type of chemotherapy and the associated cytotoxicity [87].

CSCs are known to possess highly elaborated efflux systems for cytotoxic agents, of which ABC family of membrane transporters are the most important ones. In return, there is strong collective evidence that increased expression and the activity of ABC family of membrane transporters, especially ABCG2, also correlates with cancer stem-like phenotype [88]. Ricci et al demonstrated that higher levels of ABCG2 efflux pump in OCSC-like cells were linked with increased resistance to taxol and VP16 therapy in OC cells which were obtained from primary ovarian carcinoma samples [89]. It was reported that Wnt/β-catenin-ABCG2 signaling pathway was activated and enhanced chemoresistance was observed in OCSCs, and β-catenin small interfering RNA (siRNA) reversed the drug sensitivity of OCSCs significantly [51]. Notch-1 and Nanog were also found to be co-upregulated with ABCG2 when ovarian tumour initiating cells were cultured under stem cell-selective conditions, accompanied by enhanced chemoresistance to the OC chemotherapeutics [42].

SP is also found to be related to OC chemoresistance via ABCG2. Kruger et al. demonstrated that SP cells from two murine carcinoma cell lines exhibited up-regulation of ABCG2 and stem cell markers Wnt-1 and Sca-1, increased resistance to chemotherapy, increased efflux of chemotherapeutic agents and increased ability to generate tumors in vivo [90].

Moreover, up-regulated DNA protection and repair and inactivation of apoptosis may also be responsible for chemoresistance in OCSCs. Srivastava et al reported that an elevated expression of DNA polymerase η (Pol η) was observed in OCSCs isolated from both OC cell lines and primary tumors, and down-regulation of Pol η enhanced the cisplatin-induced apoptosis in CSCs both in vivo and in vitro [91], indicating that CSCs may have intrinsically enhanced translation DNA synthesis. On the other hand, a study demonstrated that p53 protein aggregation was associated with the inactivation of the p53-mediated apoptosis and platinum resistance in OC cells with CSC properties [92].

In summary, there are many mechanisms involved in the OCSC-associated chemoresistance. Research efforts should be put in uncovering these mechanisms in the future in order to pave the way for OCSCs targeting therapy.

Targeting CSCs for OC treatment

CSCs are implicated in cancer metastasis, recurrence, and therapeutic resistance. Targeting CSCs may possess many advantages by eradicating the root of tumor and managing their malignant behaviors. However, the data related with effective targeting strategies for CSCs are still limited until now. The current CSC targeting therapy in OC are mainly focused on the employment of OCSCs markers and the signaling pathways related to CSCs.

Imatinib (Gleevec), a clinical drug that blocks Abelson cytoplasmic tyrosine kinase (ABL), CD177, and PDGFR, demonstrated its inhibition potency on OCSCs. In this study, the combination of imatinib with cisplatin/paclitaxel showed higher efficiency against the regeneration of drug-resistant OCSCs compared to imatinib or cisplatin/paclitaxel alone [51], indicating the potential use of imatinib in the OCSCs target therapy for OC. However, in a phase II clinical trial, using a 400 mg dose of imatinib had no significant effect on PFS in recurrent EOC [93, 94]. In another phase II clinical trial, at a higher dose of 600 mg imatinib, no clinical response was seen [95]. In platinum-resistant, recurrent EOC and with tumors that were positive for CD177 and PDGFR, no response rate was found with a 400 mg dose of imatinib in a phase II clinical trial [96]. Overall, the response rate of Imatinib has been very modest in clinical studies. Skubitz et al reported that targeting CD133 directly with a dCD133KDELa monoclonal antibody (MAb) that recognizes a non-glycosylated region of CD133, could successfully inhibit tumor growth and progression in OC mouse model [97], further providing the possibility of applying OCSC markers for future treatment.

In addition, some signaling pathway inhibitors preferentially targeting CSCs are also useful in reversing chemoresistance. VS-5584, a dual inhibitor of mTORC1/2 and class I PI3-Kinase, was reported to be up to 30-fold more potent in inhibiting the proliferation and survival of CSCs compared with non-CSC in OC and other solid tumor cells, and most importantly, VS-5584 was also able to significantly repress tumor regrowth after chemotherapy in an immunodeficient OC mouse model [98]. In another study, using OC cell line HEY, Abubaker et al demonstrated that inhibition of the JAK2/STAT3 pathway by CYT387 suppressed the ‘stemness’ profile in chemotherapy-treated residual OC cells in vitro and animal xenograft models in vivo, leading to a reduced tumor burden [85]. Ibrutinib, a novel Bruton’s tyrosine kinase (Btk) inhibitor, was found to be able to significantly reduce the expression of JAK2/STAT3 pathway which in turn suppressed the survival of cancer cells through Sox-2 and BCL-XL genes and restored chemosensitivity in cisplatin-resistant OC spheroids [99]. Furthermore, it was also reported that γ-secretase inhibitor GSI a Notch pathway inhibitor, was able to deplete CSCs and increase ovarian tumor sensitivity to platinum, and the combination of cisplatin and GSI was shown to effectively eliminate both CSCs and the bulk of tumor cells by enhancing the DNA-damage response, G2/M cell-cycle arrest, and apoptosis [100]. We have recently demonstrated the activation of the PI3K/Akt/mTOR signaling pathway is associated with EMT and CSCs in chemoresistant EOC cell lines and combination of cisplatin and a dual PI3K/mTOR inhibitor (BEZ235) could increase chemosensitivity (unpublished observation), suggesting the PI3K/Akt/mTOR pathway plays an important role in EOC chemoresistance.

Some emerging novel strategies have also demonstrated anti-CSC effects for improving OC chemoresistance. Donahoe et al demonstrated that mullerian inhibiting substance (MIS mimetic SP600125) preferentially inhibited chemotherapy-enriched CSC-like cells in human EOC cell lines including OVCAR-5, IGROV-1 and SKOV-3 and provided a new treatment paradigm [73]. SGI-110, a new DNA methytransferace inhibitor, was found to reduce stem cell property of OC in a low dose through inducing re-expression of differentiation-associated genes HOXA10, therefore decreasing tumor initiating capacity and re-sensitizing CSCs to platinum. Moreover, the maintenance treatment with SGI-110 after carboplatin was also shown to inhibit CSC growth and decrease tumor progression in animal models in vivo [101]. Wang et al also demonstrated a low-dose SGI-110 reduced the stem-like properties of ALDH+ EOC cells, including their tumor-initiating capacity, resensitized these OCSCs to platinum, and induced re-expression of a differentiation-associated gene in mRNA level (HOXA10 mRNA ) [101].

Wu et al recently reported that solanum incanum extract (SR-T100), containing the active ingredient solamargine, can down-regulate the expression of stem cell markers, including ALDH1, Notch1, and FoxM1, and reduce sphere formation in OC cells, increase the sensitivity of chemoresistant OC cells (A2780CP70) to cisplatin and paclitaxel in vitro. Furthermore, combination treatment using cisplatin and SR-T100 was more effective in inhibiting the tumor growth of A2780CP70 cells in mouse xenografts than either therapeutic alone, suggesting SR-T100 may have potential against chemoresistant OC cells [102]. Our group have developed aptamer-guided therapies such as aptamer-CD133 and aptamer-EpCAM conjugates for cancer treatments in preclinical studies and demonstrated low cytotoxicity, great binding affinity and penetration ability, and high efficacy for CSC targeting [103-104]. Aptamer-CD133 and aptamer-EpCAM hold promise for targeting OCSCs in the future research. Different inhibitors for OCSC-targeted therapy are shown in Table 4.

CSC markers are very dynamic and plastic during cancer progression. CSC phenotypes are regulated by tumor microenvironment. When designing a CSC targeting therapy, the CSC plasticity should be taken into consideration. It is important to determine the CSC expression at different stages of cancer. In addition, targeting several CSC markers may achieve a better clinical result than only targeting one CSC marker.

Table 4: Targeting CSC surface markers or CSC-associated signaling pathways in ovarian cancer treatment

Target

Inhibitor

Reference

CD117

Imatinib

[51]

CD133

dCD133KDEL

[97]

PI3K/mTOR pathway

VS-5584

[98]

JAK2/STAT3 pathway

Ibrutinib

[99]

JAK2/STAT3 pathway

CYT387

[85]

Notch pathway

GSI

[100]

DNA methytransferace

SGI-110

[101]

Conclusions and future directions

Chemotherapy remains an important modality for advanced OC treatment with ongoing efforts towards designing new treatment modalities and techniques, which continue to improve the survival and quality of life in OC patients. However, chemoresistance and tumor recurrence are the major challenges for the current treatment failure. It is increasingly clear that EMT and CSCs play important roles in OC metastasis and progression and are related with chemoresistance, and targeting EMT and CSCs or their corresponding pathways by gene therapy, antisense therapy, specific inhibitor, aptamer-guided therapy or other methods may enhance the chemosensitivity of OC. The recent advances in EMT and CSCs have unlocked a new avenue for chemosensitivity research. Elucidating the role of EMT and CSCs in the cancer cells’ response to chemotherapy will enhance our understanding of OC recurrence after chemodrug treatment, and may direct research towards novel and specific chemosensitizers that target EMT or CSCs. We expect that there will be increased understanding of the intrinsic and extrinsic factors that control the plasticity and maintenance of the EMT/CSC state (e.g. expression factors, miRNA expression, PTMs of molecules that control stem cell fate and niche factors that control stem cell renewal) in OC research.

Since EMT and CSCs have both been implicated in tumourigenesis and chemoresistance, it is critical to examine both populations and determine their phenotypic expression in human OC recurrent tissues in order to develop strategies to target these populations using targeting therapy. Therefore, further evaluation of EMT/CSC markers in OC tissues and investigation on how these cells can be targeted by novel treatment modalities might lead to more effective eradication of OC relapse.

EMT and CSC markers could be also used as important biomarkers for chemotherapy response and prognosis. If these biomarkers for predicting the treatment response of individual OC patient and potential targets for chemosensitization are further validated, it will achieve a more favorable therapeutic ratio in clinics. In addition, future personalized medicine for OC therapy will be developed from EMT and CSC research.

Studying the mechanisms of OC chemoresistance and metastasis is important for novel therapies. Chemoresistant mouse models or other contemporary models such as patients-derived xenografts (PDXs) or explanted human tissues from chemoresistant OC patients should be considered for new drug screening and testing. Combination of chemotherapy with novel agents targeting EMT/CSCs for improvement of chemosensitivity has demonstrated promise in preclinical studies on OC cell lines and animal models. However, only very limited data could be found in Phase I trials. These combination approaches should be further explored in clinical trials to validate their clinical effects in OC therapy.

Acknowledgments

Our ovarian cancer research project is supported in part by China Scholarship Council (CSC) PhD scholarship; University of New South Wales PhD scholarship; a Cancer Research Trust Fund at Cancer Care Centre, St George Hospital; Australian Research Council (ARC).

Conflicts of Interests

None declared

References

1. Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J and Jemal A. Global cancer statistics, 2012. CA. 2015; 65:87-108.

2. Baldwin LA, Huang B, Miller RW, Tucker T, Goodrich ST, Podzielinski I, DeSimone CP, Ueland FR, van Nagell JR and Seamon LG. Ten-year relative survival for epithelial ovarian cancer. Obstet Gynecol. 2012; 120:612-618.

3. Ozols RF. Treatment goals in ovarian cancer. International journal of gynecological cancer. 2005; 15 Suppl 1:3-11.

4. Davidson B, Trope CG and Reich R. Epithelial-mesenchymal transition in ovarian carcinoma. Front Oncol. 2012; 2:33.

5. Marchini S, Fruscio R, Clivio L, Beltrame L, Porcu L, Fuso Nerini I, Cavalieri D, Chiorino G, Cattoretti G, Mangioni C, Milani R, Torri V, Romualdi C, Zambelli A, Romano M, Signorelli M, et al. Resistance to platinum-based chemotherapy is associated with epithelial to mesenchymal transition in epithelial ovarian cancer. Eur J Cancer. 2013; 49:520-530.

6. Steg AD, Bevis KS, Katre AA, Ziebarth A, Dobbin ZC, Alvarez RD, Zhang K, Conner M and Landen CN. Stem cell pathways contribute to clinical chemoresistance in ovarian cancer. Clin Cancer Res. 2012; 18:869-881.

7. Nuti SV, Mor G, Li P and Yin G. TWIST and ovarian cancer stem cells: implications for chemoresistance and metastasis. Oncotarget. 2014; 5:7260-7271. doi: 10.18632/oncotarget.2428.

8. Lamouille S, Xu J and Derynck R. Molecular mechanisms of epithelial-mesenchymal transition. Nat Rev Mol Cell Biol. 2014; 15:178-196.

9. Thiery JP, Acloque H, Huang RY and Nieto MA. Epithelial-mesenchymal transitions in development and disease. Cell. 2009; 139:871-890.

10. Kalluri R. EMT: when epithelial cells decide to become mesenchymal-like cells. J Clin Invest. 2009; 119:1417-1419.

11. Zeisberg M and Neilson EG. Biomarkers for epithelial-mesenchymal transitions. J Clin Invest. 2009; 119:1429-1437.

12. Arend RC, Londono-Joshi AI, Straughn JM, Jr. and Buchsbaum DJ. The Wnt/beta-catenin pathway in ovarian cancer: a review. Gynecologic oncology. 2013; 131:772-779.

13. Sabe H. Cancer early dissemination: cancerous epithelial-mesenchymal transdifferentiation and transforming growth factor beta signalling. J Biochem. 2011; 149:633-639.

14. Zhang K, Chen D, Jiao X, Zhang S, Liu X, Cao J, Wu L and Wang D. Slug enhances invasion ability of pancreatic cancer cells through upregulation of matrix metalloproteinase-9 and actin cytoskeleton remodeling. Lab Invest. 2011; 91:426-438.

15. Vergara D, Merlot B, Lucot JP, Collinet P, Vinatier D, Fournier I and Salzet M. Epithelial-mesenchymal transition in ovarian cancer. Cancer Lett. 2010; 291:59-66.

16. Kajiyama H, Hosono S, Terauchi M, Shibata K, Ino K, Yamamoto E, Nomura S, Nawa A and Kikkawa F. Twist expression predicts poor clinical outcome of patients with clear cell carcinoma of the ovary. Oncology. 2006; 71:394-401.

17. Wang WS, Yu SL, Yang XS, Chang SD and Hou JQ. Expression and significance of twist and E-cadherin in ovarian cancer tissues. Asian Pac J Cancer Prev. 2013; 14:669-672.

18. Takai M, Terai Y, Kawaguchi H, Ashihara K, Fujiwara S, Tanaka T, Tsunetoh S, Tanaka Y, Sasaki H, Kanemura M, Tanabe A and Ohmichi M. The EMT (epithelial-mesenchymal-transition)-related protein expression indicates the metastatic status and prognosis in patients with ovarian cancer. J Ovarian Res. 2014; 7:76.

19. Chen D, Wang J, Zhang Y, Chen J, Yang C, Cao W, Zhang H, Liu Y and Dou J. Effect of down-regulated transcriptional repressor ZEB1 on the epithelial-mesenchymal transition of ovarian cancer cells. International journal of gynecological cancer. 2013; 23:1357-1366.

20. Kajiyama H, Shibata K, Terauchi M, Yamashita M, Ino K, Nawa A and Kikkawa F. Chemoresistance to paclitaxel induces epithelial-mesenchymal transition and enhances metastatic potential for epithelial ovarian carcinoma cells. Int J Oncol. 2007; 31:277-283.

21. Latifi A, Abubaker K, Castrechini N, Ward AC, Liongue C, Dobill F, Kumar J, Thompson EW, Quinn MA, Findlay JK and Ahmed N. Cisplatin treatment of primary and metastatic epithelial ovarian carcinomas generates residual cells with mesenchymal stem cell-like profile. J Cell Biochem. 2011; 112:2850-2864.

22. Rohnalter V, Roth K, Finkernagel F, Adhikary T, Obert J, Dorzweiler K, Bensberg M, Muller-Brusselbach S and Muller R. A multi-stage process including transient polyploidization and EMT precedes the emergence of chemoresistent ovarian carcinoma cells with a dedifferentiated and pro-inflammatory secretory phenotype. Oncotarget. 2015; 6:40005-40025. doi: 10.18632/oncotarget.5552.

23. Haslehurst AM, Koti M, Dharsee M, Nuin P, Evans K, Geraci J, Childs T, Chen J, Li J, Weberpals J, Davey S, Squire J, Park PC and Feilotter H. EMT transcription factors snail and slug directly contribute to cisplatin resistance in ovarian cancer. BMC Cancer. 2012; 12:91.

24. Davidson B, Holth A, Hellesylt E, Tan TZ, Huang RY, Trope C, Nesland JM and Thiery JP. The clinical role of epithelial-mesenchymal transition and stem cell markers in advanced-stage ovarian serous carcinoma effusions. Hum Pathol. 2015; 46:1-8.

25. Kurrey NK, Jalgaonkar SP, Joglekar AV, Ghanate AD, Chaskar PD, Doiphode RY and Bapat SA. Snail and slug mediate radioresistance and chemoresistance by antagonizing p53-mediated apoptosis and acquiring a stem-like phenotype in ovarian cancer cells. Stem Cells. 2009; 27:2059-2068.

26. Yue P, Zhang X, Paladino D, Sengupta B, Ahmad S, Holloway RW, Ingersoll SB and Turkson J. Hyperactive EGF receptor, Jaks and Stat3 signaling promote enhanced colony-forming ability, motility and migration of cisplatin-resistant ovarian cancer cells. Oncogene. 2012; 31:2309-2322.

27. Gupta N, Xu Z, El-Sehemy A, Steed H and Fu Y. Notch3 induces epithelial-mesenchymal transition and attenuates carboplatin-induced apoptosis in ovarian cancer cells. Gynecologic oncology. 2013; 130:200-206.

28. Park SM, Gaur AB, Lengyel E and Peter ME. The miR-200 family determines the epithelial phenotype of cancer cells by targeting the E-cadherin repressors ZEB1 and ZEB2. Genes Dev. 2008; 22:894-907.

29. Leskela S, Leandro-Garcia LJ, Mendiola M, Barriuso J, Inglada-Perez L, Munoz I, Martinez-Delgado B, Redondo A, de Santiago J, Robledo M, Hardisson D and Rodriguez-Antona C. The miR-200 family controls beta-tubulin III expression and is associated with paclitaxel-based treatment response and progression-free survival in ovarian cancer patients. Endocr Relat Cancer. 2011; 18:85-95.

30. Brozovic A, Duran GE, Wang YC, Francisco EB and Sikic BI. The miR-200 family differentially regulates sensitivity to paclitaxel and carboplatin in human ovarian carcinoma OVCAR-3 and MES-OV cells. Mol Oncol. 2015; 9:1678-1693.

31. Du F, Wu X, Liu Y, Wang T, Qi X, Mao Y, Jiang L, Zhu Y, Chen Y, Zhu R, Han X, Jin J, Ma X and Hua D. Acquisition of paclitaxel resistance via PI3Kdependent epithelialmesenchymal transition in A2780 human ovarian cancer cells. Oncol Rep. 2013; 30:1113-1118.

32. Su HY, Lai HC, Lin YW, Liu CY, Chen CK, Chou YC, Lin SP, Lin WC, Lee HY and Yu MH. Epigenetic silencing of SFRP5 is related to malignant phenotype and chemoresistance of ovarian cancer through Wnt signaling pathway. Int J Cancer. 2010; 127:555-567.

33. Meng F, Sun G, Zhong M, Yu Y and Brewer MA. Anticancer efficacy of cisplatin and trichostatin A or 5-aza-2’-deoxycytidine on ovarian cancer. Br J Cancer. 2013; 108:579-586.

34. Zhu X, Shen H, Yin X, Long L, Xie C, Liu Y, Hui L, Lin X, Fang Y, Cao Y, Xu Y, Li M, Xu W and Li Y. miR-186 regulation of Twist1 and ovarian cancer sensitivity to cisplatin. Oncogene. 2015.

35. Liu G, Yang D, Rupaimoole R, Pecot CV, Sun Y, Mangala LS, Li X, Ji P, Cogdell D, Hu L, Wang Y, Rodriguez-Aguayo C, Lopez-Berestein G, Shmulevich I, De Cecco L, Chen K, et al. Augmentation of response to chemotherapy by microRNA-506 through regulation of RAD51 in serous ovarian cancers. J Natl Cancer Inst. 2015; 107.

36. Chiu WT, Huang YF, Tsai HY, Chen CC, Chang CH, Huang SC, Hsu KF and Chou CY. FOXM1 confers to epithelial-mesenchymal transition, stemness and chemoresistance in epithelial ovarian carcinoma cells. Oncotarget. 2015; 6:2349-2365. doi: 10.18632/oncotarget.2957.

37. Xiong X, Arvizo RR, Saha S, Robertson DJ, McMeekin S, Bhattacharya R and Mukherjee P. Sensitization of ovarian cancer cells to cisplatin by gold nanoparticles. Oncotarget. 2014; 5:6453-6465. doi: 10.18632/oncotarget.2203.

38. Rosano L, Cianfrocca R, Tocci P, Spinella F, Di Castro V, Caprara V, Semprucci E, Ferrandina G, Natali PG and Bagnato A. Endothelin A receptor/beta-arrestin signaling to the Wnt pathway renders ovarian cancer cells resistant to chemotherapy. Cancer research. 2014; 74:7453-7464.

39. Dick JE. Looking ahead in cancer stem cell research. Nat Biotechnol. 2009; 27:44-46.

40. Friedmann-Morvinski D and Verma IM. Dedifferentiation and reprogramming: origins of cancer stem cells. EMBO Rep. 2014; 15:244-253.

41. Dawood S, Austin L and Cristofanilli M. Cancer stem cells: implications for cancer therapy. Oncology (Williston Park). 2014; 28:1101-1107, 1110.

42. Zhang S, Balch C, Chan MW, Lai HC, Matei D, Schilder JM, Yan PS, Huang TH and Nephew KP. Identification and characterization of ovarian cancer-initiating cells from primary human tumors. Cancer research. 2008; 68:4311-4320.

43. Baba T, Convery PA, Matsumura N, Whitaker RS, Kondoh E, Perry T, Huang Z, Bentley RC, Mori S, Fujii S, Marks JR, Berchuck A and Murphy SK. Epigenetic regulation of CD133 and tumorigenicity of CD133+ ovarian cancer cells. Oncogene. 2009; 28:209-218.

44. Curley MD, Therrien VA, Cummings CL, Sergent PA, Koulouris CR, Friel AM, Roberts DJ, Seiden MV, Scadden DT, Rueda BR and Foster R. CD133 expression defines a tumor initiating cell population in primary human ovarian cancer. Stem Cells. 2009; 27:2875-2883.

45. Bapat SA, Mali AM, Koppikar CB and Kurrey NK. Stem and progenitor-like cells contribute to the aggressive behavior of human epithelial ovarian cancer. Cancer research. 2005; 65:3025-3029.

46. Lobo NA, Shimono Y, Qian D and Clarke MF. The biology of cancer stem cells. Annu Rev Cell Dev Biol. 2007; 23:675-699.

47. Goodison S, Urquidi V and Tarin D. CD44 cell adhesion molecules. Mol Pathol. 1999; 52:189-196.

48. Alvero AB, Chen R, Fu HH, Montagna M, Schwartz PE, Rutherford T, Silasi DA, Steffensen KD, Waldstrom M, Visintin I and Mor G. Molecular phenotyping of human ovarian cancer stem cells unravels the mechanisms for repair and chemoresistance. Cell Cycle. 2009; 8:158-166.

49. Miettinen M and Lasota J. KIT (CD117): a review on expression in normal and neoplastic tissues, and mutations and their clinicopathologic correlation. Appl Immunohistochem Mol Morphol. 2005; 13:205-220.

50. Luo L, Zeng J, Liang B, Zhao Z, Sun L, Cao D, Yang J and Shen K. Ovarian cancer cells with the CD117 phenotype are highly tumorigenic and are related to chemotherapy outcome. Exp Mol Pathol. 2011; 91:596-602.

51. Chau WK, Ip CK, Mak AS, Lai HC and Wong AS. c-Kit mediates chemoresistance and tumor-initiating capacity of ovarian cancer cells through activation of Wnt/beta-catenin-ATP-binding cassette G2 signaling. Oncogene. 2013; 32:2767-2781.

52. Neuzil J, Stantic M, Zobalova R, Chladova J, Wang X, Prochazka L, Dong L, Andera L and Ralph SJ. Tumour-initiating cells vs. cancer ‘stem’ cells and CD133: what’s in the name? Biochem Biophys Res Commun. 2007; 355:855-859.

53. Yang CH, Wang HL, Lin YS, Kumar KP, Lin HC, Chang CJ, Lu CC, Huang TT, Martel J, Ojcius DM, Chang YS, Young JD and Lai HC. Identification of CD24 as a cancer stem cell marker in human nasopharyngeal carcinoma. PLoS One. 2014; 9:e99412.

54. Li C, Heidt DG, Dalerba P, Burant CF, Zhang L, Adsay V, Wicha M, Clarke MF and Simeone DM. Identification of pancreatic cancer stem cells. Cancer research. 2007; 67:1030-1037.

55. Gao MQ, Choi YP, Kang S, Youn JH and Cho NH. CD24+ cells from hierarchically organized ovarian cancer are enriched in cancer stem cells. Oncogene. 2010; 29:2672-2680.

56. Burgos-Ojeda D, Wu R, McLean K, Chen YC, Talpaz M, Yoon E, Cho KR and Buckanovich RJ. CD24+ Ovarian Cancer Cells Are Enriched for Cancer-Initiating Cells and Dependent on JAK2 Signaling for Growth and Metastasis. Mol Cancer Ther. 2015; 14:1717-1727.

57. Meng E, Long B, Sullivan P, McClellan S, Finan MA, Reed E, Shevde L and Rocconi RP. CD44+/CD24- ovarian cancer cells demonstrate cancer stem cell properties and correlate to survival. Clin Exp Metastasis. 2012; 29:939-948.

58. Gunjal P, Pedziwiatr D, Ismail AA, Kakar SS and Ratajczak MZ. An emerging question about putative cancer stem cells in established cell lines-are they true stem cells or a fluctuating cell phenotype? Journal of cancer stem cell research. 2015; 3.

59. Marcato P, Dean CA, Giacomantonio CA and Lee PW. Aldehyde dehydrogenase: its role as a cancer stem cell marker comes down to the specific isoform. Cell Cycle. 2011; 10:1378-1384.

60. Cheung AM, Wan TS, Leung JC, Chan LY, Huang H, Kwong YL, Liang R and Leung AY. Aldehyde dehydrogenase activity in leukemic blasts defines a subgroup of acute myeloid leukemia with adverse prognosis and superior NOD/SCID engrafting potential. Leukemia. 2007; 21:1423-1430.

61. Landen CN, Jr., Goodman B, Katre AA, Steg AD, Nick AM, Stone RL, Miller LD, Mejia PV, Jennings NB, Gershenson DM, Bast RC, Jr., Coleman RL, Lopez-Berestein G and Sood AK. Targeting aldehyde dehydrogenase cancer stem cells in ovarian cancer. Mol Cancer Ther. 2010; 9:3186-3199.

62. Silva IA, Bai S, McLean K, Yang K, Griffith K, Thomas D, Ginestier C, Johnston C, Kueck A, Reynolds RK, Wicha MS and Buckanovich RJ. Aldehyde dehydrogenase in combination with CD133 defines angiogenic ovarian cancer stem cells that portend poor patient survival. Cancer research. 2011; 71:3991-4001.

63. Liu S, Liu C, Min X, Ji Y, Wang N, Liu D, Cai J and Li K. Prognostic value of cancer stem cell marker aldehyde dehydrogenase in ovarian cancer: a meta-analysis. PLoS One. 2013; 8:e81050.

64. Mizuno T, Suzuki N, Makino H, Furui T, Morii E, Aoki H, Kunisada T, Yano M, Kuji S, Hirashima Y, Arakawa A, Nishio S, Ushijima K, Ito K, Itani Y and Morishige K. Cancer stem-like cells of ovarian clear cell carcinoma are enriched in the ALDH-high population associated with an accelerated scavenging system in reactive oxygen species. Gynecologic oncology. 2015; 137:299-305.

65. Sun Y, Jia X and Wu X. High Expressions of Lgr5 and ALDH1 in Primary Epithelial Ovarian Cancer Correlate with Advanced Tumor Stage and Grade as well as Poor Prognosis of the Patients. Gynecol Obstet Invest. 2015.

66. Munz M, Baeuerle PA and Gires O. The emerging role of EpCAM in cancer and stem cell signaling. Cancer research. 2009; 69:5627-5629.

67. Meirelles K, Benedict LA, Dombkowski D, Pepin D, Preffer FI, Teixeira J, Tanwar PS, Young RH, MacLaughlin DT, Donahoe PK and Wei X. Human ovarian cancer stem/progenitor cells are stimulated by doxorubicin but inhibited by Mullerian inhibiting substance. Proc Natl Acad Sci U S A. 2012; 109:2358-2363.

68. Bellone S, Siegel ER, Cocco E, Cargnelutti M, Silasi DA, Azodi M, Schwartz PE, Rutherford TJ, Pecorelli S and Santin AD. Overexpression of epithelial cell adhesion molecule in primary, metastatic, and recurrent/chemotherapy-resistant epithelial ovarian cancer: implications for epithelial cell adhesion molecule-specific immunotherapy. International journal of gynecological cancer. 2009; 19:860-866.

69. Boesch M, Zeimet AG, Reimer D, Schmidt S, Gastl G, Parson W, Spoeck F, Hatina J, Wolf D and Sopper S. The side population of ovarian cancer cells defines a heterogeneous compartment exhibiting stem cell characteristics. Oncotarget. 2014; 5:7027-7039. doi: 10.18632/oncotarget.2053.

70. Szotek PP, Pieretti-Vanmarcke R, Masiakos PT, Dinulescu DM, Connolly D, Foster R, Dombkowski D, Preffer F, Maclaughlin DT and Donahoe PK. Ovarian cancer side population defines cells with stem cell-like characteristics and Mullerian Inhibiting Substance responsiveness. Proc Natl Acad Sci U S A. 2006; 103:11154-11159.

71. Liao J, Qian F, Tchabo N, Mhawech-Fauceglia P, Beck A, Qian Z, Wang X, Huss WJ, Lele SB, Morrison CD and Odunsi K. Ovarian cancer spheroid cells with stem cell-like properties contribute to tumor generation, metastasis and chemotherapy resistance through hypoxia-resistant metabolism. PLoS One. 2014; 9:e84941.

72. Chang HL, MacLaughlin DT and Donahoe PK. (2008). Somatic stem cells of the ovary and their relationship to human ovarian cancers. StemBook. (Cambridge (MA): Harvard Stem Cell Institute Copyright: (c) 2009 Henry L. Chang, David T. MacLaughlin, and Patricia K. Donahoe.).

73. Wei X, Dombkowski D, Meirelles K, Pieretti-Vanmarcke R, Szotek PP, Chang HL, Preffer FI, Mueller PR, Teixeira J, MacLaughlin DT and Donahoe PK. Mullerian inhibiting substance preferentially inhibits stem/progenitors in human ovarian cancer cell lines compared with chemotherapeutics. Proc Natl Acad Sci U S A. 2010; 107:18874-18879.

74. Flesken-Nikitin A, Hwang CI, Cheng CY, Michurina TV, Enikolopov G and Nikitin AY. Ovarian surface epithelium at the junction area contains a cancer-prone stem cell niche. Nature. 2013; 495:241-245.

75. Yasuda K, Torigoe T, Morita R, Kuroda T, Takahashi A, Matsuzaki J, Kochin V, Asanuma H, Hasegawa T, Saito T, Hirohashi Y and Sato N. Ovarian cancer stem cells are enriched in side population and aldehyde dehydrogenase bright overlapping population. PLoS One. 2013; 8:e68187.

76. Kobayashi Y, Seino K, Hosonuma S, Ohara T, Itamochi H, Isonishi S, Kita T, Wada H, Kojo S and Kiguchi K. Side population is increased in paclitaxel-resistant ovarian cancer cell lines regardless of resistance to cisplatin. Gynecologic oncology. 2011; 121:390-394.

77. Frank NY, Schatton T and Frank MH. The therapeutic promise of the cancer stem cell concept. J Clin Invest. 2010; 120:41-50.

78. Kong D, Li Y, Wang Z and Sarkar FH. Cancer Stem Cells and Epithelial-to-Mesenchymal Transition (EMT)-Phenotypic Cells: Are They Cousins or Twins? Cancers (Basel). 2011; 3:716-729.

79. Bonneau C, Rouzier R, Geyl C, Cortez A, Castela M, Lis R, Darai E and Touboul C. Predictive markers of chemoresistance in advanced stages epithelial ovarian carcinoma. Gynecologic oncology. 2015; 136:112-120.

80. Gao Y, Foster R, Yang X, Feng Y, Shen JK, Mankin HJ, Hornicek FJ, Amiji MM and Duan Z. Up-regulation of CD44 in the development of metastasis, recurrence and drug resistance of ovarian cancer. Oncotarget. 2015; 6:9313-9326. doi: 10.18632/oncotarget.3220.

81. Zhang J, Guo X, Chang DY, Rosen DG, Mercado-Uribe I and Liu J. CD133 expression associated with poor prognosis in ovarian cancer. Mod Pathol. 2012; 25:456-464.

82. Štemberger-Papi S. Expression of CD 133 and CD 117 in 64 Serous Ovarian Cancer Cases. Coll Antropol. 2015; 39:745-753.

83. Zhu J, Zhang G and Lu H. CD24, COX-2, and p53 in epithelial ovarian cancer and its clinical significance. Front Biosci (Elite Ed). 2012; 4:2745-2751.

84. Cole JM, Joseph S, Sudhahar CG and Cowden Dahl KD. Enrichment for chemoresistant ovarian cancer stem cells from human cell lines. J Vis Exp. 2014; :51891.

85. Abubaker K, Luwor RB, Escalona R, McNally O, Quinn MA, Thompson EW, Findlay JK and Ahmed N. Targeted Disruption of the JAK2/STAT3 Pathway in Combination with Systemic Administration of Paclitaxel Inhibits the Priming of Ovarian Cancer Stem Cells Leading to a Reduced Tumor Burden. Front Oncol. 2014; 4:75.

86. Kwon MJ and Shin YK. Regulation of ovarian cancer stem cells or tumor-initiating cells. Int J Mol Sci. 2013; 14:6624-6648.

87. Abubaker K, Latifi A, Luwor R, Nazaretian S, Zhu H, Quinn MA, Thompson EW, Findlay JK and Ahmed N. Short-term single treatment of chemotherapy results in the enrichment of ovarian cancer stem cell-like cells leading to an increased tumor burden. Mol Cancer. 2013; 12:24.

88. Bleau AM, Hambardzumyan D, Ozawa T, Fomchenko EI, Huse JT, Brennan CW and Holland EC. PTEN/PI3K/Akt pathway regulates the side population phenotype and ABCG2 activity in glioma tumor stem-like cells. Cell stem cell. 2009; 4:226-235.

89. Ricci F, Bernasconi S, Perego P, Ganzinelli M, Russo G, Bono F, Mangioni C, Fruscio R, Signorelli M, Broggini M and Damia G. Ovarian carcinoma tumor-initiating cells have a mesenchymal phenotype. Cell Cycle. 2012; 11:1966-1976.

90. Kruger JA, Kaplan CD, Luo Y, Zhou H, Markowitz D, Xiang R and Reisfeld RA. Characterization of stem cell-like cancer cells in immune-competent mice. Blood. 2006; 108:3906-3912.

91. Srivastava AK, Han C, Zhao R, Cui T, Dai Y, Mao C, Zhao W, Zhang X, Yu J and Wang QE. Enhanced expression of DNA polymerase eta contributes to cisplatin resistance of ovarian cancer stem cells. Proc Natl Acad Sci U S A. 2015; 112:4411-4416.

92. Yang-Hartwich Y, Soteras MG, Lin ZP, Holmberg J, Sumi N, Craveiro V, Liang M, Romanoff E, Bingham J, Garofalo F, Alvero A and Mor G. p53 protein aggregation promotes platinum resistance in ovarian cancer. Oncogene. 2015; 34:3605-3616.

93. Juretzka M, Hensley ML, Tew W, Konner J, Aghajanian C, Leitao M, Iasonos A, Soslow R, Park K and Sabbatini P. A phase 2 trial of oral imatinib in patients with epithelial ovarian, fallopian tube, or peritoneal carcinoma in second or greater remission. European journal of gynaecological oncology. 2008; 29:568-572.

94. Schilder RJ, Sill MW, Lee RB, Shaw TJ, Senterman MK, Klein-Szanto AJ, Miner Z and Vanderhyden BC. Phase II evaluation of imatinib mesylate in the treatment of recurrent or persistent epithelial ovarian or primary peritoneal carcinoma: a Gynecologic Oncology Group Study. Journal of clinical oncology. 2008; 26:3418-3425.

95. Coleman RL, Broaddus RR, Bodurka DC, Wolf JK, Burke TW, Kavanagh JJ, Levenback CF and Gershenson DM. Phase II trial of imatinib mesylate in patients with recurrent platinum- and taxane-resistant epithelial ovarian and primary peritoneal cancers. Gynecologic oncology. 2006; 101:126-131.

96. Alberts DS, Liu PY, Wilczynski SP, Jang A, Moon J, Ward JH, Beck JT, Clouser M and Markman M. Phase II trial of imatinib mesylate in recurrent, biomarker positive, ovarian cancer (Southwest Oncology Group Protocol S0211). International journal of gynecological cancer. 2007; 17:784-788.

97. Skubitz AP, Taras EP, Boylan KL, Waldron NN, Oh S, Panoskaltsis-Mortari A and Vallera DA. Targeting CD133 in an in vivo ovarian cancer model reduces ovarian cancer progression. Gynecologic oncology. 2013; 130:579-587.

98. Kolev VN, Wright QG, Vidal CM, Ring JE, Shapiro IM, Ricono J, Weaver DT, Padval MV, Pachter JA and Xu Q. PI3K/mTOR dual inhibitor VS-5584 preferentially targets cancer stem cells. Cancer research. 2015; 75:446-455.

99. Zucha MA, Wu AT, Lee WH, Wang LS, Lin WW, Yuan CC and Yeh CT. Bruton’s tyrosine kinase (Btk) inhibitor ibrutinib suppresses stem-like traits in ovarian cancer. Oncotarget. 2015; 6:13255-13268. doi: 10.18632/oncotarget.3658.

100. McAuliffe SM, Morgan SL, Wyant GA, Tran LT, Muto KW, Chen YS, Chin KT, Partridge JC, Poole BB, Cheng KH, Daggett J, Jr., Cullen K, Kantoff E, Hasselbatt K, Berkowitz J, Muto MG, et al. Targeting Notch, a key pathway for ovarian cancer stem cells, sensitizes tumors to platinum therapy. Proc Natl Acad Sci U S A. 2012; 109:E2939-2948.

101. Wang Y, Cardenas H, Fang F, Condello S, Taverna P, Segar M, Liu Y, Nephew KP and Matei D. Epigenetic targeting of ovarian cancer stem cells. Cancer research. 2014; 74:4922-4936.

102. Wu YH, Chiu WT, Young MJ, Chang TH, Huang YF and Chou CY. Solanum Incanum Extract Downregulates Aldehyde Dehydrogenase 1-Mediated Stemness and Inhibits Tumor Formation in Ovarian Cancer Cells. J Cancer. 2015; 6:1011-1019.

103. Shigdar S, Qiao L, Zhou SF, Xiang D, Wang T, Li Y, Lim LY, Kong L, Li L and Duan W. RNA aptamers targeting cancer stem cell marker CD133. Cancer Lett. 2013; 330:84-95.

104. Wang T, Gantier MP, Xiang D, Bean AG, Bruce M, Zhou SF, Khasraw M, Ward A, Wang L, Wei MQ, AlShamaileh H, Chen L, She X, Lin J, Kong L, Shigdar S, et al. EpCAM Aptamer-mediated Survivin Silencing Sensitized Cancer Stem Cells to Doxorubicin in a Breast Cancer Model. Theranostics. 2015; 5:1456-1472.


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