[Frontiers in Bioscience E4, 1528-1541, January 1, 2012]

The role of cancer stem cells in relapse of solid tumors

Yang Yu1, Grace Ramena1, Randolph C. Elble1, 2

1Department of Medical Microbiology, Immunology and Cell Biology and Simmons Cancer Institute, 2Department of Pharmacology, Southern Illinois University School of Medicine, Springfield, IL 62794

TABLE OF CONTENTS

1. Abstract
2. Introduction
3. Properties of cancer stem cells related to cancer recurrence
3.1. Tumorigenicity
3.2. Therapy resistance
3.3. Self-renewal ability
3.4. Migratory ability
4. Evidence for cancer stem cells in cancer relapse
4.1. Breast
4.2. Glioblastoma
4.3. Melanoma
5. Therapies targeting tumor stem cells
5.1. Stem cell markers as a target for therapy
5.2. Therapies targeting CSC signaling pathways
6. Conclusions
7. Acknowledgments
8. References

1. ABSTRACT

Recurrence at secondary locations, often years after removal of the primary tumor, accounts for most of the mortality associated with solid tumors. Metastasis, resistance to chemo- and radiotherapy, and eventual relapse have been attributed to a distinct tumor subpopulation known as cancer stem cells (CSCs). In this review, we consider the properties of CSCs that lead to these outcomes, in particular the relation between epithelial-to-mesenchymal transition, stemness, and tumor initiation. We compare recent clinical and laboratory studies of breast cancer, glioblastoma, and melanoma that illustrate how most current anticancer regimens select for cells with mesenchymal and CSC properties and therefore sow the seeds of relapse. Finally, we discuss the emerging paradigm of combined therapy that targets both CSC and non-CSC tumor components.

2. INTRODUCTION

Cancer recurrence refers to the return of cancer after a period of time during which it was undetectable, either at the same location as the primary tumor or at a distant one. The odds of a cancer recurring depend on many histopathological and clinical criteria, including the primary organ site (Table 1, 1-7), the grade and stage of the cancer, as well as patient lifestyle choices such as tobacco use and obesity (8).

Over the past two decades, several developments have led to the view that the cells responsible for recurrence constitute a discrete subpopulation of the tumor. Originally termed tumor-initiating cells (TIC), they were later found to share many properties with normal tissue stem cells, such as multipotency and expression of stem cell markers (9, 10). Thus, they are now more frequently referred to as cancer stem cells (CSCs) (11). We consider the advantages afforded to the tumor cell by the stem cell program below. We have selected three solid tumor types of epithelial, neural, or neuroendocrine origin to illustrate how the role of CSCs in tumorigenesis and relapse varies with the tissue type.

There are several hypotheses concerning the origin of CSCs. The first is that they are derived from stem cells or their immediate descendants, early progenitor cells. This could explain heterogeneity of differentiation markers within tumors. A competing view is that tumor cells arising from more differentiated cells may reactivate the stem cell program, including pluripotency (12). Evidence for this view emerged when Mani et al. demonstrated that epithelial-to-mesenchymal transition (EMT) conferred stem-like properties on non-stem populations (12). The overlap between CSC and EMT profiles has now been demonstrated for a variety of solid tumors (13-16). A more nuanced picture has begun to emerge with the demonstration in breast and melanoma that a dynamic equilibrium seems to exist between CSCs and non-CSCs, such that either one may be converted to the other (17). On the other hand, glioblastomas appear to arise directly from neural stem cells rather by de-differentiation (18). The issue of CSC origin is discussed in more detail in sections 4 and 5.

The link between CSCs and metastasis is less clear. Since metastatic tumors recapitulate the heterogeneity of the primary tumor, it is reasonable to suppose that these tumors are founded by CSCs. However, metastatic tumors may also contain mutations that were absent from the primary tumor. For example, metastasis suppressors such as nonmetastatic 23 (nm23), maspin, kangai1 (Kai1), N-myc downstream regulated gene-1 (NDRG1), and kisspeptin-1 (Kiss1) may be mutated or additional oncogenes may be activated (19-24). In addition, there is now solid evidence for the role of tumor-associated macrophages and regulatory T cells as potentiating factors in metastasis (25, 26). How the latter factors can be reconciled with the CSC hypothesis remains to be resolved. The link between CSCs and metastasis is covered in sections 3 and 4.

3. PROPERTIES OF CANCER STEM CELLS THAT PROMOTE CANCER RELAPSE

The cancer stem cell hypothesis posits that only a small subpopulation of tumor cells is responsible for the formation and maintenance of the bulk of the tumor. This hypothesis emerged in 1994 when Lapidot and colleagues showed evidence that only a small percentage of acute myeloid leukemia cells had the capability to initiate leukemia in mice (27). These cells were shown to express similar cell surface markers (CD34+/CD38-) to normal hematopoietic stem cells (27). Following this, cancer stem cells were identified not only in hematological cancers but also in a wide range of solid tumors including breast, brain, skin, head and neck, prostate, and glioblastoma. Several properties of stem cells that contribute to cancer recurrence are outlined below and elaborated upon in section 4

3.1. Tumorigenicity

Tumorigenicity describes the ability of cells to generate a tumor when injected into an immunocompromised experimental animal. As mentioned above, only a small percentage of cells, that is, cancer stem cells, in a tumor are tumorigenic and capable of maintaining the bulk tumor or giving rise to a new one in a distant location (28).

In vitro, tumorigenicity can be determined by a tumorsphere formation assay. Stem-like cells are anoikis-resistant and able to form spheres in methylcellulose, while non-tumorigenic cells cannot (29).

3.2. Therapy resistance

Multiple studies show that cancer stem cells isolated from cancer cell lines are resistant to various kinds of chemotherapy and radiation (Figure 1; reviewed in ref. 30). Several mechanisms may account for this.

One is the lower proliferation rate of cancer stem cells. Most conventional therapies target rapidly proliferating tumor cells, while more slowly dividing stem-like cells escape (13).

Another is the presence of multi-drug resistance ATP-binding cassette transporters, principally ABCG2 but also MRP1 (multidrug-resistance-associated protein 1) and ABCB5 in some cancers that can efflux drugs across the plasma membrane (31, 32). Inhibitors of these transporters increase the sensitivity of cancer stem cells to anti-cancer drugs (33). The ability to exclude compounds such as Hoechst dye has been used as a basis for identifying and isolating both normal and cancer stem cells by flow cytometry (34). These cells have been termed the "side population." The existence of side populations with CSC properties has been demonstrated in cancers of the breast, lung, brain, skin, and many others (35).

Not all CSCs express these proteins however. Working with glioma, breast, and prostate cell lines, Dean Tang's group isolated side populations and found that they were indeed more tumorigenic than the rest of the population (36). These cells expressed ABCG2. However, they also found an ABCG2-negative population that was also tumorigenic but grew more slowly. ABCG2+ cells could give rise to ABCG2- cells and vice versa. The authors concluded that ABCG2 identifies fast cycling progenitor cells, while more primitive slow-cycling cells lack ABCG2. Nor is expression of such transporters limited to CSCs. Normal kidney expresses high levels of ABC transporters, and renal carcinomas maintain this expression in all tumor cells (31).

In addition, activation of mesenchymal transcription factors and signaling via Hedgehog (Hh), Notch, Her2, Wnt and other pathways contribute to therapy-resistance (37, 38). This topic is covered in section 5.2. The role of Hh in CSCs was shown by Varmat et al. (39). That found that Hh was preferentially active in normal stem cells and CSCs of the colon and that colon carcinomas acquired a Hh signature coincident with metastasis. They further demonstrated that Hh induced EMT in colon cancer cells and was required for their growth, recurrence, and metastasis. Thus, Hh in colon is tightly linked to stem cell properties. Similar conclusions have been reached for breast cancer (40).

Richard Clarke and coworkers demonstrated the importance of Notch signaling in breast ductal carcinoma in situ (41). Notch is upregulated in CD44+/CD24- cells and in often in DCIS. Tumor tissue that was positive for Notch 1 intracellular domain gave rise to increased mammospheres, and gamma secretase inhibitor suppressed mammosphere formation. High Notch 1 expression predicted early recurrence. For an excellent review on Notch signaling in CSCs, see Rizzo et al. (42).

The role of Her2 in CSCs of breast has been demonstrated by several laboratories. Korkaya et al. found that expression of the stem cell marker ALDH (acetaldehyde dehydrogenase) in breast tumors correlates with Her2 and that the ALDH-positive population can be reduced by treatment with the Her2 inhibitor lapatinib (43). Ectopic expression of Her2 increased the CSC population along with invasion and metastasis.

The role of Wnt in breast cancer and CSCs has been reviewed by others (44, 45). One of the most compelling studies showed that a single breast stem cell from an MMTV-Wnt mouse can give rise to a complete mammary gland, demonstrating its promotion of stem cell properties (46). Wnt signaling promotes EMT by upregulating expression of mesenchymal transcription factors Snail, Slug, and Twist, which repress E-cadherin and a host of other epithelial proteins (47-49). Moreover, when compared with the primary tumor, early lung metastases overexpress components of the Wnt pathway, and their downregulation inhibits metastasis of orthotopic xenografts (50). Rosen's group has demonstrated that Wnt is required for radiation-resistance of mammary epithelial progenitor cells from mice with activated Wnt signaling in breast cancer cells (51).

3.3. Self-renewal ability

Stem cells are perpetuated in the undifferentiated state by asymmetric replication, during which one of the daughter cells of the CSC remains undifferentiated while the other becomes more specialized (52). This process ensures the stability and multipotency of the stem cell population. However, stem cells can also divide symmetrically under stress to rapidly increase their number. This process is regulated by p53, as p53 mutation confers symmetric division on normal stem cells (53). CSCs circumvent this mechanism by mutating or otherwise downregulating p53. This ability may come into play after chemoradiation therapy, allowing rapid re-population.

3.4. Migratory ability

In normal development and regeneration, the ability of stem cells to migrate, invade and colonize distant spaces is essential. Proponents of CSC theory posit that CSCs retain or coopt this ability, exploiting it to the same end (37). These metastatic colonies are largely responsible for tumor recurrence (12). The evidence that CSCs are more migratory and invasive than nonCSCs stems from the observation that CSC and EMT gene expression profiles substantially overlap, and that cells that have undergone EMT are functionally identical to CSCs (54). This topic is discussed in section 4.1.

4. EVIDENCE FOR CANCER STEM CELLS IN CANCER RELAPSE

4.1. Breast cancer

Breast CSCs were first described in 2003 by Clarke and co-workers (10). They found that flow-sorted CD44high/CD24low cells from disrupted tumors were highly tumorigenic in immunocompromised mice and gave rise to the same diversity of cell types found in the original tumor, whereas CD44low/ CD24high cells lacked these properties. Subsequent work showed that these cells were anoikis-resistant and so could be cultured without anchorage, giving rise to spherical colonies on nonadherent surfaces or when suspended in methylcellulose (55, 56). The ability to propagate these cells in vitro allowed their transcriptional signature to be identified.

At the same time, the advent of cDNA microarray and other transcriptional profiling technologies allowed comparison between histopathological characteristics and the molecular profiles of tumors. This led to the discovery within breast cancer that there are distinct molecular subtypes that are highly predictive of the course of the disease (57). These were initially divided, based on their similarities to cells in normal breast, into luminal A, luminal B, Her2+, and basal (58). While the first three classes respond to various targeted therapies, basal or triple-negative breast cancer has an especially bleak prognosis (57) due to metastasis and relapse. In general, basal breast cancers and cell lines have low expression of markers of differentiated breast such as E-cadherin and other junctional proteins (59). Recently, an additional subtype was parsed from within the basal group that is even more mesenchymal-like, termed claudin-low (60). Claudin-low cell lines are enriched in CSCs and are associated with therapy-resistance (61, 62).

Diehn et al. found that, similar to normal stem cells, some breast tumor CSCs have lower levels of reactive oxygen species (ROS) compared to other cells from the same tumor (63). As ROS is a mediator of tumor cell killing in response to therapeutic ionizing radiation (IR), the CSCs sustained less DNA damage and mortality in response to radiation. Similarly, Philips et al. found that mammospheres cultured from MCF7 and MDA-MB-231 cells survived IR better than cells grown as attached monolayers (64). Woodward et al. also found that MCF7 CSCs were radioresistant; in addition, they showed that progenitor cells from mouse mammary tumors had this same property (51). The stem cell niche in breast is thought to be located in the basal epithelial layer, and it has long been known that IR produces basal tumors with poor prognosis (65). To determine whether the basal layer responds differently to IR from luminal cells, Coates et al. xenografted normal human breast tissue into mice, treated with IR, and measured kinetics and intensity of DNA damage response by IHC. They found that basal cells induce p53, p21, and repair machinery much faster than do luminal cells (65).

A matter of controversy is whether CSCs derive from normal tissue stem/progenitor cells or from cancer cells that have reactivated the stem cell program. A recent body of work sheds light on this issue, showing that forcing a transition from an epithelial to a mesenchymal program, EMT, bestows the properties of CSCs (54).

Transition between epithelial and mesenchymal states is a normal feature of epithelial behavior during development and wound-healing (66). Mesenchymal cells share many of the properties of CSCs, such as migratory behavior, resistance to DNA-damaging agents, and ability to form colonies when suspended in nonadherent media or implanted into immunocompatible mice (54, 67). The mesenchymal phenotype is maintained by a network of transcription factors such as Snail, Twist, and others that repress epithelial proteins such as E-cadherin and activate mesenchymal functions (68, 69). EMT induces cytoskeletal changes, expression of vimentin and fibronectin, and loss of apico-basal polarity, allowing the cell to divorce from its neighbors and move independently (Figure 2; 70).

Clinical studies have shown that Snail is spontaneously upregulated in recurrent tumors in vivo and that recurrence is accompanied by EMT (71, 72). Ectopic expression of Snail and Twist in cell lines triggers EMT and resistance to chemotherapy (73, 74). Accordingly, a high level of Snail expression predicts a high rate of relapse and low survival of breast cancer patients (75, 76).

Weinberg's group found that ectopic expression of EMT transcription factors in transformed epithelial cells conferred not only expression of mesenchymal markers but also enriched for stem cell markers and behaviors such as mammosphere formation and tumorigenicity (54). The congruency between these two phenotypes was further underlined by the demonstration that sorting immortalized HMEC (human mammary epithelial cells) or tumor cells for stem cell markers also enriches for mesenchymal markers. Other workers showed that breast cancer cell lines with a mesenchymal profile were also greatly enriched for CSC markers and behaviors (61). Thus, a mutation that triggered EMT in a tumor would also confer CSC properties.

The same group then used similar techniques to generate large numbers of stem-like cells, explore their drug-sensitivity, and test the hypothesis that current therapies select for CSCs (75). They used knockdown of E-cadherin to drive EMT both in immortalized (HMLE) and Ras-transformed (HMLER) cell lines. This resulted in a tenfold increase in the CD44high/CD24low population and a 100-fold increase in both mammosphere- and tumor-forming ability. Treating these cells with two of the drugs most frequently used to de-bulk tumors, paclitaxel and doxorubicin, yielded increases in IC50 of twentyfold and fivefold, respectively. To simulate a tumor undergoing chemotherapy, the knockdown cells were mixed with twentyfold excess of control cells and treated with paclitaxel. This resulted in fourfold increase in knockdown cells over a four day period.

They then exploited these capabilities to screen drug libraries for CSC-specific cytocidal agents (75). Of 16,000 drugs tested, only salinomycin, etoposide, abamectin, and nigericin were differentially toxic to HMLE bearing the knockdown compared to control. Of these four, only salinomycin was differentially toxic to CSC-enriched HMLER. Except for etoposide, all affect transmembrane ion currents.

The Struhl group arrived at some similar conclusions using the mammary epithelial cell line MCF10A, which they had rendered conditionally transformable by tamoxifen-regulated Src (76). Based on similar expression profiles between cancer cells and cells from diabetics, they tested the AMPK inhibitor and diabetes drug metformin on this cell line and on autochthonous breast cancer cell lines. Metformin suppressed MCF10A transformation by Src and inhibited mammosphere formation by cancer cell lines. In combination with doxorubicin, it reduced tumor growth in mouse xenografts much more effectively than either drug alone.

The concept that standard chemotherapy selects for a pernicious subpopulation that drives recurrence has now been tested clinically. Li et al. analyzed core biopsies from breast cancer patients before and after chemotherapy and found a several-fold increase in CSC markers and mammosphere-forming ability after neoadjuvant therapy (77). In follow-up studies, they compared the gene expression signature of the post-chemotherapy (doxorubicin or letrozole) population to those of the various breast cancer subtypes (78). The surviving cells most resembled claudin-low tumors, a subtype enriched in CSC and mesenchymal characteristics (60, 62).

But is there more than a teleological link between CSCs and metastasis? The 2011 meeting of the American Association for Cancer Research (Orlando, April 2-6) included a forum to debate whether metastasis requires EMT and, by implication, CSCs. Evidence was presented from the field of breast cancer that, while the bulk of a tumor may express epithelial markers, the invasive front often expresses mesenchymal and stem cell markers. This phenomenon has also been observed in prostate cancer (15). Others have found that metastatic breast cell lines are enriched in stem cell markers (79). In clinical samples of human pancreatic cancer, Hermann and co-workers demonstrated a population of tumorigenic cells that were positive for stem cell marker CD133 and resistant to chemotherapy (80). A subset of CD133+ cells that expressed an additional marker, CXCR4, was found at the advancing front of tumors, and depletion of these cells from the population abolished metastasis without affecting tumorigenicity. The authors concluded that a subpopulation of CSCs is solely responsible for metastasis in pancreatic cancer. It would be interesting to profile this population for expression of previously established metastasis promoters and loss of metastasis suppressors. While the weight of evidence now favors a leading role for EMT and CSCs in metastasis of several solid tumor types, this may not be universally true (81). Further studies are needed to settle this question.

4.2. Glioblastoma

Glioblastoma Multiforme (GBM) has one of the highest recurrence rates and lowest survival times of any solid tumor. It is difficult to treat because of its location, aggressiveness, and ability to infiltrate distant areas of the brain. The blood-brain barrier limits chemotherapy to lipophilic agents or drugs that can be introduced intrathecally or directly into the surgical cavity. However, even with refinements in surgical technique, targeting of radiotherapy, and novel alkylating agents such as temozolomide, median survival is only 14-15 months (82). The interval between tumor excision and recurrence is usually short, suggesting that some tumorigenic cells within the tumor are treatment-resistant.

The existence of CSCs in GBM was first shown by Singh and coworkers, who demonstrated that the only the CD133-positive subpopulation from sorted tumor cells could form tumorspheres in vitro and tumors in immunocompromised mice (83). The tumors developed from as few as 100 xenografted cells and faithfully reproduced the range of cell types and surface antigens present in the original surgical specimens. CSCs could also be isolated by culturing GBM explants as tumorspheres (82). These cells were positive for CD133 and another stem cell marker nestin, and they quickly formed tumors in mice. They also displayed remarkable resistance to a wide range of chemotherapeutics when compared with tumor cells from several other organ sites (82). Increased survival was apparently not due to increased drug efflux, as doxorubicin efflux was no more efficient in these cells than in chemosensitive tumor cells. Even more direct evidence for a role of CD133+ cells came from a study by Pallini and coworkers who found that in recurrent glioblastoma, the percentage of CD133+ cells was increased by 4.6-fold compared to primary tumor (84). Interestingly however, the presence of more CD133+ cells indicated a greater chance of survival. The authors found that 20-60% of these cells were normal neural stem cells derived from adjacent tissue.

The cause of radio-resistance of GBM CSCs was addressed by a succeeding study (85). The authors found that the proportion of CD133+ cells in tumors increased following radiation. CSCs activated DNA damage response and repair pathways faster than CD133- cells and repaired DNA more effectively. Excitingly, this advantage could be reversed by inhibitors of Chk1 and Chk2, protein kinases that signal DNA damage by phosphorylating p53 and other responders.

4.3. Melanoma

Melanoma is a malignant tumor of melanocytes, a nonepithelial cell type derived from the neural crest. Prior to metastasis, it is easily treated by local cell ablative techniques. In stark contrast, metastatic melanoma rivals GBM in bleakness of prognosis. While melanoma accounts for only a small percentage of skin cancers, it causes 75% of deaths associated with skin cancer (86). Median survival is about 6 months and 5 year survival is 5-15% (87). The most active agent against metastatic melanoma, dacarbazine, has a response rate of only 15-25% time to progression of five to six months (87). Recurrent disease is even less responsive.

Because the profile of this disease includes early metastasis, resistance to chemoradiation, and rapid recurrence, the presence of CSCs was predicted. Whether this model applies to melanoma is a matter of controversy however.

As in other systems, sorting for classical stem cell markers such as ABCG2, nestin, and CD133 enriched for capacity to form tumorspheres in vitro and tumors in mice (88). Enriched expression of these markers has been detected in circulating melanoma cells by Fusi (89). Another member of the ABC transporter family, ABCB5, which confers resistance to anthracyclines, was suggested to be a better marker for melanoma CSCs (32).

However, other findings are inconsistent with the CSC model, and most scientists in this field now prefer the term melanoma-initiating cells (MIC). Melanomas have an inherent penchant for metastasis due to the expression of mesenchymal transcription factors in melanocytes (90). Thus, melanocytes transformed by Ras and SV40 T antigen metastasize much more readily than similarly transformed fibroblasts or breast epithelial cells. The capacity of isolated melanoma cells to initiate tumors in mice is also much higher. Quintana found that about 25% of unselected melanoma cells from 12 patients could form tumors in immunocompromised NOD/SCID mice bearing a deletion of the IL2 receptor (91). Furthermore, injection of unselected single cells produced tumors 27% of the time, in contrast to breast cancer in which 100 or more cells may be required even after cell sorting for CSC markers. The tumorigenic cells could be serially transplanted repeatedly without loss of tumorigenicity irrespective of whether they expressed any of the candidate CSC markers (92). Indeed, cells appeared to readily switch marker expression, suggesting a dynamic interconversion between cell types.

A study by Held and coworkers suggests that cells may be tumorigenic without having other CSC properties (93). After sorting for CD34 and p75, they injected single mouse melanoma cells into mice and measured tumor formation. All CD34+/p75- cells formed tumors, as did most CD34-/p75- cells. However, the latter were only capable of self-renewal, while the former could also regenerate tumor heterogeneity. The CD34-/p75+ cells were infrequently tumorigenic and more sensitive to chemotherapy than either class of tumorigenic cell.

Herlyn's group has explored the role of the H3K4 demethylase JARID1B in melanoma propagation (94). They found a small pool of cells positive for JARID1B that divided very slowly, only once or so per month, while progeny of these cells divided rapidly. The ability of a slowly dividing cell type to give rise to a rapidly dividing one is consistent with a multipotent CSC phenotype. Moreover, knockdown of JARID1B led to eventual loss of tumor-propagating ability. However, inconsistent with a classic hierarchical model, JARID1B expression can be lost, and negative cells can become positive. The authors concluded that the responsibility for maintaining tumor heterogeneity and propagation rotates among the population in a dynamic process. These characteristics help to explain why metastatic melanoma is so difficult to eradicate.

5. THERAPIES TARGETING CANCER STEM CELLS

With evidence mounting for a causative role of CSCs in recurrence of at least some cancers, there is great interest in discovery of drugs to target this critical subpopulation, either to kill them or coerce their differentiation. A classical empirical library screening approach, described in section 4.1, has already yielded several candidate drugs for breast CSCs (75). A second approach, based on similarities between breast cancer and diabetes expression profiles, yielded the candidate drug metformin (76). Here we describe other anti-CSC strategies based on burgeoning knowledge of CSCs revealed by laboratory studies.

5.1. Stem cell markers as a target for therapy

Since the 1990s, isolation and characterization of CSCs has relied upon the ability to sort them out of mixed populations using cell surface proteins that have come to be called stem cell markers (Table 2). These markers vary with the tissue type (95).

Some of these markers play a vital role in the function of those stem cells and so are logical targets for therapy. They can be receptors for cell-cell for cell-matrix communication, or they can contribute to drug resistance, such as ABCB5 in melanoma (29). In breast, the classical stem cell marker CD44 serves as a receptor for the extracellular matrix component hyaluronic acid (96). It also complexes with Met and Her family growth factor receptors and enhances their signaling, thus downregulating growth-arrest and apoptotic pathways (96). CD44 opposes the tumor-suppressive activities of p53, and it is in turn repressed by p53 (97). Ligation of CD44 receptor activates Nanog and other stem cell functions (98). These are logical targets for inhibitors.

CD133/prominin-1 is a surface molecule present on CSCs from several tissue types (Table 2). CD133 is under study as a therapeutic target in metastatic melanoma, and hepatocellular and gastric cancers (99, 100). Another candidate target in liver is CD13 (85). Combining a CD13 inhibitor with 5-FU was synergistic in reducing growth of mouse xenografts (101).

While these approaches show promise, in other cases CSC markers may not be critical for cell survival or may lack specificity. In the case of dynamic turnover of marker expression as in melanoma, it may be necessary to target multiple markers or combine this approach with cytocidal or differentiation therapies.

5.2. Therapies targeting CSC signaling pathways

Several signal-transduction pathways with previously well established roles in development and tumor progression have turned out to be critical for the generation and differentiation of CSCs, as well as their drug-resistance (102). Among these are the Notch, Hedgehog, Wnt, Her2, and IL-6 and -8 signaling pathways.

Although both Notch1 and Notch4 have been implicated in breast cancer, isolated CSCs are enriched for Notch4 and deficient in Notch1 (103). Pharmacological and genetic inhibition of Notch4 inhibited mammosphere formation in vitro and tumor formation in xenografts. Notch signaling depends on proteolytic cleavage by gamma secretase, and and inhibitors of this enzyme are in clinical trials (104). However, their lack of specificity for individual family members is problematic.

Wnt signaling is also critical for stem cell regulation and survival and is implicated in residual disease after radiotherapy (105, 51). Two polyphenols derived from food products, curcumin and piperine, have been reported to inhibit Wnt signaling (106,107). Both had previously been found effective as preventative agents against a broad range of cancers (108-110). In combination, piperine greatly increases the bioavailability and efficacy of curcumin, possibly due to synergistic inhibition of ABC transporters (110-112). Max Wicha's group reported that the drugs suppressed Wnt signaling as well as mammosphere formation by breast cancer cell lines and reduced the percentage of ALDH+ cells. As expected, they were more effective in combination (106). The same group reported that a nutriceutical derived from broccoli, sulforaphane, could decrease the ALDH+ cell population of breast cancer cell lines by 65%-80% by blocking Wnt signaling (113).

Hedgehog is another embryonic signaling pathway that figures in stem cell biology, EMT, and tumor progression (114, 115). Ulasov and coworkers found that that both Hedgehog and Notch are upregulated upon treatment of GBM with temozolomide. Moreover, inhibition of Notch and Hedgehog pathways enhanced sensitivity of CD133+ glioma stem cells to temozolomide therapy (39). The Hedgehog inhibitor cyclopamine was first identified as a natural teratogen (116). This drug and several derivatives are now in clinical trials (117,118).

The receptors for cytokines IL-8 and IL-6 have been targeted on CSCs from breast and other cancers. CXCR1 is the receptor for IL-8, which regulates the self-renewal of breast CSCs (119). Blockade of this receptor using either a CXCR1-specific blocking antibody or repertaxin, a small-molecule CXCR1 inhibitor, specifically depleted the CSC population in breast cancer cell lines SUM159 and HCC1954. Repertaxin was also effective in reducing growth of xenografts (119). In light of the newly uncovered role of IL-6 in maintaining the breast CSC pool, its receptor is also a promising target (120). Inhibitors of IL-6 are already under trial for multiple myeloma (121).

In addition to embryonic and inflammatory signaling pathways, growth factor signaling is also a relevant target. In breast cancer, Her2-overexpressing tumors historically have had a dim prognosis typified by chemoresistance and early recurrence. Several reports indicate that Her2+ tumors have amplified pools of CSCs, as assessed by mammosphere and tumor-initiation assays and sorting for ALDH+ cells (53, 43). Her2 signaling induces PI3K-AKT signaling, leading to downregulation of p53 and induction of Nanog. This permits an increase in symmetric divisions and thus self-renewal of CSCs (53). These effects can be reversed by restoration of p53 (53) or inhibition of Her2 by trastuzumab or lapatinib (122). Resistance to trastuzumab or early relapse is associated with secondary mutations that ramp up AKT signaling (43, 122).

6. CONCLUSIONS

For breast and some other cancers, the weight of evidence now favors the view that CSCs originate from non-CSCs that re-activate stem cell programming, while glioblastomas seem to follow different rules. Here, we have presented the argument that, whatever their origin and whether stable or transient, the entity known as cancer stem cell or tumor-initiating cell is a major factor in therapy-resistance and cancer recurrence. The ability to isolate and characterize these cells has led on the one hand to new drugs that target CSCs and on the other, to the realization that some drugs already in hand owe their efficacy to their effect on CSCs. Unsurprisingly, the therapies most successful in preventing relapse are those that combine debulking agents with anti-CSCs, e.g., paclitaxel with trastuzumab. The weight of the evidence is now such that one may question the value of any new clinical trial that does not include an anti-CSC agent. We may expect that within a few years, all cancer therapy protocols will incorporate an appropriate anti-CSC approach.

It has long been recognized that cancer is caused by the loss of ability to maintain tissue differentiation. It is worth noting that several of the anti-CSC drugs discovered thus far, including metformin and salinomycin, restore differentiation rather than killing masses of cells. Continued investigation of epithelial differentiation processes may reveal additional low-toxicity tools for coercing CSCs back into the fold.

7. ACKNOWLEDGMENTS

This work was supported by NIH grant #1R15CA151094-01 and Department of Defense grants BC097686 and BC097675 to RCE.

8. REFERENCES

1. Hochberg FH, Pruitt A: Assumptions in the radiotherapy of glioblastoma. Neurology. 30(9):907-11(1980)


2. http://foodforbreastcancer.com/news/follow-up-after-breast-cancer-should-take-into-account-risk-of-relapse


3. http://news.cancerconnect.com/recurrent-prostate-cancer/


4. http://news.cancerconnect.com/recurrent-osteosarcoma/#_edn1


5. http://www.physorg.com/news/2011-01-treatment-relapse-bladder-cancer-patients.html


6. Sullivan SR, Liu DZ, Mathes DW, Isik FF. Head and Neck Malignant Melanoma: Local Recurrence Rate Following Wide Local Excision and Immediate Reconstruction. Ann Plast Surg. Apr 4 (2011)


7. Lee DS, White DE, Hurst R, Rosenberg SA, Yang JC. Patterns of relapse and response to retreatment in patients with metastatic melanoma or renal cell carcinoma who responded to interleukin-2-based immunotherapy. Cancer J Sci Am. Mar-Apr;4(2):86-93 (1998)


8. Chlebowski RT, Blackburn GL, Thomson CA, Nixon DW, Shapiro A, Hoy MK, Goodman MT, Giuliano AE, Karanja N, McAndrew P, Hudis C, Butler J, Merkel D, Kristal A, Caan B, Michaelson R, Vinciguerra V, Del Prete S, Winkler M, Hall R, Simon M, Winters BL, Elashoff RM: Dietary fat reduction and breast cancer outcome: interim efficacy results from the Women's Intervention Nutrition Study (WINS). J Natl Cancer Inst Vol. 98, No. 24, pp 1767-76 (2006)
doi:10.1093/jnci/djj494

9. Lapidot T, Sirard C, Vormoor J, Murdoch B, Hoang T, Caceres-Cortes J, Minden M, Paterson B, Caligiuri MA, Dick JE: A cell initiating human acute myeloid leukaemia after transplantation into SCID mice. Nature 367(6464):645-48 (1994) doi: 10.1038/367645a0
doi:10.1038/367645a0

10. Al-Hajj M, Wicha MS, Benito-Hernandez A, Morrison SJ, Clarke MF: Prospective identification of tumorigenic breast cancer cells. Proc Natl Acad Sci U S A. 100(7):3983-88 (2003)
doi:10.1073/pnas.0530291100

11. Dick JE: Stem cell concepts renew cancer research. Blood 112:4793-07. (2008)
doi:10.1182/blood-2008-08-077941

12. Fábián A, Barok M, Vereb G, Szöllosi J: Die hard: are cancer stem cells the Bruce Willises of tumor biology? Cytometry A, 75(1):67-74. (2009)


13. Singh A, Settleman J. EMT, cancer stem cells and drug resistance: an emerging axis of evil in the war on cancer. Oncogene. Aug 26, 29(34):4741-51(2010)


14. Chen C, Wei Y, Hummel M, Hoffmann TK, Gross M, Kaufmann AM, Albers AE. Evidence for epithelial-mesenchymal transition in cancer stem cells of head and neck squamous cell carcinoma. PLoS One, Jan 27;6(1):e16466 (2011) rkar FH. Molecular signature of epithelial-mesenchymal transition (EMT) in human prostate cancer bone metastasis. Am J Transl Res. Oct 23;3(1):90-9 (2010)


16. Bao B, Wang Z, Ali S, Kong D, Li Y, Ahmad A, Banerjee S, Azmi AS, Miele L, Sarkar FH. Notch-1 induces epithelial-mesenchymal transition consistent with cancer stem cell phenotype in pancreatic cancer cells. Cancer Lett, Apr 2 (2011)


17. Eramo A, Ricci-Vitiani L, Zeuner A, Pallini R, Lotti F, Sette G, Pilozzi E, Larocca LM, Peschle C, De Maria R: Chemotherapy resistance of glioblastoma stem cells. Cell Death Differ.;13(7):1238-41 (2006)
doi:10.1038/sj.cdd.4401872

18. Germano I, Swiss V, Casaccia P. Primary brain tumors, neural stem cell, and brain tumor cancer cells: where is the link? Neuropharmacology, May;58(6):903-10 (2010)


19. Horak CE, Lee JH, Marshall JC, Shreeve SM, Steeg PS. The role of metastasis suppressor genes in metastatic dormancy. APMIS, Jul-Aug; 116(7-8):586-01(2008).


20. Marshall JC, Collins J, Marino N, Steeg P. The Nm23-H1 metastasis suppressor as a translational target. Eur J Cancer. May;46(7):1278-82 (2010)


21. Lockett J, Yin S, Li X, Meng Y, Sheng S. Tumor suppressive maspin and epithelial homeostasis. J Cell Biochem. Mar 1;97(4):651-60 (2006)


22. Liu W, Iiizumi-Gairani M, Okuda H, Kobayashi A, Watabe M, Pai SK, Pandey PR, Xing F, Fukuda K, Modur V, Hirota S, Suzuki K, Chiba T, Endo M, Sugai T, Watabe K. J Biol Chem, Mar 21 (2011)


23. Iiizumi M, Liu W, Pai SK, Furuta E, Watabe K. Drug development against metastasis-related genes and their pathways: a rationale for cancer therapy. Biochim Biophys Acta, Dec;1786(2):87-04 (2008)


24. Beck BH, Welch DR. The KISS1 metastasis suppressor: a good night kiss for disseminated cancer cells. Eur J Cancer, May;46(7):1283-89 (2010)


25. DeNardo DG, Barreto JB, Andreu P, Vasquez L, Tawfik D, Kolhatkar N, Coussens LM. CD4(+) T cells regulate pulmonary metastasis of mammary carcinomas by enhancing protumor properties of macrophages. Cancer Cell, Aug 4;16(2):91-02 (2009)


26. DeClerck K, Elble RC. The role of hypoxia and acidosis in promoting metastasis and resistance to chemotherapy. Front BiosciJan 1;15:213-25, (2010)


<
27. Bonnet D and Dick JE: Human acute myeloid leukemia is organized as a hierarchy that originates from a primitive hematopoietic cell. Nat Med 3:730-37 (1997)
doi:10.1038/nm0797-730

28. O'Brien CA, Pollett A, Gallinger S, Dick JE: A human colon cancer cell capable of initiating tumour growth in immunodeficient mice. Nature 445 (7123): 106-10. (2007) doi: 10.1038/nature05372.
doi:10.1038/nature05372

29. Reynolds BA and Weiss S: Clonal and population analyses demonstrate that an EGF-responsive mammalian embryonic CNS precursor is a stem cell. Dev Biol. 175(1):1-13 (1996)
doi:10.1006/dbio.1996.0090

30. Lacerda L, Pusztai L, Woodward WA: The role of tumor initiating cells in drug resistance of breast cancer: Implications for future therapeutic approaches. Drug Resist Updat. 13(4-5):99-08. (2010)
doi:10.1016/j.drup.2010.08.001


31. Dean M. ABC transporters, drug resistance, and cancer stem cells. J Mammary Gland Biol Neoplasia, Mar;14(1):03-09 (2009)


32. Frank NY, Margaryan A, Huang Y, Schatton T, Waaga-Gasser AM, Gasser M, Sayegh MH, Sadee W, Frank MH: ABCB5-mediated doxorubicin transport and chemoresistance in human malignant melanoma. Cancer Res. 65(10):4320-33. (2005)
doi:10.1158/0008-5472.CAN-04-3327

33. Katayama R, Koike S, Sato S, Sugimoto Y, Tsuruo T, Fujita N: Dofequidar fumarate sensitizes cancer stem-like side population cells to chemotherapeutic drugs by inhibiting ABCG2/BCRP-mediated drug export. Cancer Sci, 100(11):2060-68.(2009)
doi:10.1111/j.1349-7006.2009.01288.x

34. Zhou S, Schuetz JD, Bunting KD, Colapietro AM, Sampath J, Morris JJ, Lagutina I, Grosveld GC, Osawa M, Nakauchi H, Sorrentino BP: The ABC transporter Bcrp1/ABCG2 is expressed in a wide variety of stem cells and is a molecular determinant of the side-population phenotype. Nat Med. 7(9):1028-34 (2001)
doi:10.1038/nm0901-1028

35. Hirschmann-Jax C, Foster AE, Wulf GG, Nuchtern JG, Jax TW, Gobel U, Goodell MA, Brenner MK. A distinct "side population" of cells with high drug efflux capacity in human tumor cells. Proc Natl Acad Sci U S A. Sep 28;101(39):14228-33 (2004)


36. Patrawala L, Calhoun T, Schneider-Broussard R, Zhou J, Claypool K, Tang DG. Side population is enriched in tumorigenic, stem-like cancer cells, whereas ABCG2+ and ABCG2- cancer cells are similarly tumorigenic. Cancer Res, Jul 15;65(14):6207-19 (2005)


37. Ratajczak M, Tarnowski M, Staniszewska M, Sroczynski T, Banach B: Mechanisms of cancer metastasis: involvement of cancer stem cells? Minerva Med. 101(3):179-91 (2010)


38. Liu S, Wicha MS. Targeting breast cancer stem cells. J Clin Oncol, Sep 1;28(25):4006-12 (2010)


39. Ulasov IV, Nandi S, Dey M, Sonabend AM, Lesniak MS: Inhibition of Sonic Hedgehog and Notch Pathways Enhances Sensitivity of CD133(+) Glioma Stem Cells to Temozolomide Therapy. Mol Med. 1-2;17(1-2):103-12 (2011)


40. O'Toole SA, Swarbrick A, Sutherland RL. The Hedgehog signalling pathway as a therapeutic target in early breast cancer development. Expert Opin Ther Targets, Sep;13(9):1095-03 (2009)


41. Farnie G, Clarke RB. Mammary stem cells and breast cancer--role of Notch signalling. Stem Cell Rev, Jun;3(2):169-75 (2007)


42. Rizzo P, Osipo C, Foreman K, Golde T, Osborne B, Miele L. Rational targeting of Notch signaling in cancer. Oncogene, Sep 1;27(38):5124-31 (2008)


43. Korkaya H, Paulson A, Iovino F, Wicha MS. HER2 regulates the mammary stem/progenitor cell population driving tumorigenesis and invasion. Oncogene, Oct 16;27(47):6120-30 (2008)


44. Mohinta S, Wu H, Chaurasia P, Watabe K. Wnt pathway and breast cancer. Front Biosci, May 1;12:4020-33 (2007)


45. Takebe N, Harris PJ, Warren RQ, Ivy SP. Targeting cancer stem cells by inhibiting Wnt, Notch, and Hedgehog pathways. Nat Rev Clin Onco, Feb;8(2):97-106 (2011)


46. Shackleton M, Vaillant F, Simpson KJ, Stingl J, Smyth GK, Asselin-Labat ML, Wu L, Lindeman GJ, Visvader JE. Generation of a functional mammary gland from a single stem cell. Nature. Jan 5;439(7072):84-88 (2006)


47. Yook JI, Li XY, Ota I, Hu C, Kim HS, Kim NH, Cha SY, Ryu JK, Choi YJ, Kim J, Fearon ER, Weiss SJ. A Wnt-Axin2-GSK3beta cascade regulates Snail1 activity in breast cancer cells. Nat Cell Bio, Dec;8(12):1398-06 (2006)


48. Conacci-Sorrell M, Simcha I, Ben-Yedidia T, Blechman J, Savagner P, Ben-Ze'ev A. Autoregulation of E-cadherin expression by cadherin-cadherin interactions: the roles of beta-catenin signaling, Slug, and MAPK. J Cell Biol. Nov 24;163(4):847-57 (2003)


49. Howe LR, Watanabe O, Leonard J, Brown AM. Twist is up-regulated in response to Wnt1 and inhibits mouse mammary cell differentiation. Cancer Res, Apr 15;63(8):1906-13 (2003)


50. DiMeo TA, Anderson K, Phadke P, Fan C, Perou CM, Naber S, Kuperwasser C. A novel lung metastasis signature links Wnt signaling with cancer cell self-renewal and epithelial-mesenchymal transition in basal-like breast cancer. Cancer Res, Jul 1;69(13):5364-73 (2009)


51. Woodward WA, Chen MS, Behbod F, Alfaro MP, Buchholz TA, Rosen JM: WNT/beta-catenin mediates radiation resistance of mouse mammary progenitor cells. Proc Natl Acad Sci U S A. 104(2):618-23 (2007)
doi:10.1073/pnas.0606599104

52. Morrison SJ, Kimble J: Asymmetric and symmetric stem-cell divisions in development and cancer. Nature. 441(7097):1068-74 (2006)
doi:10.1038/nature04956

53. Cicalese A, Bonizzi G, Pasi CE, Faretta M, Ronzoni S, Giulini B, Brisken C, Minucci S, Di Fiore PP, Pelicci PG: The tumor suppressor p53 regulates polarity of self-renewing divisions in mammary stem cells. Cell. 138(6):1083-95 (2009)
doi:10.1016/j.cell.2009.06.048

54. Mani SA, Guo W, Liao MJ, Eaton EN, Ayyanan A, Zhou AY, Brooks M, Reinhard F, Zhang CC, Shipitsin M, Campbell LL, Polyak K, Brisken C, Yang J, Weinberg RA.: The epithelial-mesenchymal transition generates cells with properties of stem cells. Cell 133: 704-15 (2008)
doi:10.1016/j.cell.2008.03.027

55. Dontu G, Abdallah WM, Foley JM, Jackson KW, Clarke MF, Kawamura MJ, Wicha MS: In vitro propagation and transcriptional profiling of human mammary stem/progenitor cells. Genes Dev. 17(10):1253-70. (2003)
doi:10.1101/gad.1061803

56. Liu S, Dontu G, Mantle ID, Patel S, Ahn NS, Jackson KW, Suri P, Wicha MS: Hedgehog signaling and Bmi-1 regulate self-renewal of normal and malignant human mammary stem cells. Cancer Res. 66(12):6063-71. (2006)
doi:10.1158/0008-5472.CAN-06-0054

57. Sørlie T, Perou CM, Tibshirani R, Aas T, Geisler S, Johnsen H, Hastie T, Eisen MB, van de Rijn M, Jeffrey SS, Thorsen T, Quist H, Matese JC, Brown PO, Botstein D, Eystein Lønning P, Børresen-Dale AL: Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci U S A 98(19):10869-74 (2001)


58. Perou CM, Sørlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, Pollack JR, Ross DT, Johnsen H, Akslen LA, Fluge O, Pergamenschikov A, Williams C, Zhu SX, Lønning PE, Børresen-Dale AL, Brown PO, Botstein D: Molecular portraits of human breast tumours. Nature 406(6797):747-52 (2000)
doi:10.1038/35021093

59. Sarrió D, Rodriguez-Pinilla SM, Hardisson D,et al: Epithelial-mesenchymal transition in breast cancer relates to the basal-like phenotype. Cancer Res. 68(4):989-97 (2008)


60. Hennessy BT, Gonzalez-Angulo AM, Stemke-Hale K, Gilcrease MZ, Krishnamurthy S, Lee JS, Fridlyand J, Sahin A, Agarwal R, Joy C, Liu W, Stivers D, Baggerly K, Carey M, Lluch A, Monteagudo C, He X, Weigman V, Fan C, Palazzo J, Hortobagyi GN, Nolden LK, Wang NJ, Valero V, Gray JW, Perou CM, Mills GB.: Characterization of a naturally occurring breast cancer subset enriched in epithelial-to-mesenchymal transition and stem cell characteristics. Cancer Res. 69(10):4116-24 (2009)
doi:10.1158/0008-5472.CAN-08-3441

61. Prat A, Parker JS, Karginova O, Fan C, Livasy C, Herschkowitz JI, He X, Perou CM: Phenotypic and molecular characterization of the claudin-low intrinsic subtype of breast cancer. Breast Cancer Res. 12(5):R68 (2010)
doi:10.1186/bcr2635

62. Taube JH, Herschkowitz JI, Komurov K, Zhou AY, Gupta S, Yang J, Hartwell K, Onder TT, Gupta PB, Evans KW, Hollier BG, Ram PT, Lander ES, Rosen JM, Weinberg RA, Mani SA: Core epithelial-to-mesenchymal transition interactome gene-expression signature is associated with claudin-low and metaplastic breast cancer subtypes. Proc Natl Acad Sci U S A. 107(35):15449-54 (2010)
doi:10.1073/pnas.1004900107

63. Diehn M, Cho RW, Lobo NA, Kalisky T, Dorie MJ, Kulp AN, Qian D, Lam JS, Ailles LE, Wong M, Joshua B, Kaplan MJ, Wapnir I, Dirbas FM, Somlo G, Garberoglio C, Paz B, Shen J, Lau SK, Quake SR, Brown JM, Weissman IL, Clarke MF: Association of reactive oxygen species levels and radioresistance in cancer stem cells. Nature. 458(7239):780-83. (2009)
doi:10.1038/nature07733

64. Phillips TM, McBride WH, Pajonk F: The response of CD24(-/low)/CD44+ breast cancer-initiating cells to radiation. J Natl Cancer Inst. 98(24):1777-85. (2006)
doi:10.1093/jnci/djj495

65. Coates PJ, Appleyard MV, Murray K, Ackland C, Gardner J, Brown DC, Adamson DJ, Jordan LB, Purdie CA, Munro AJ, Wright EG, Dewar JA, Thompson AM: Differential contextual responses of normal human breast epithelium to ionizing radiation in a mouse xenograft model. Cancer Res. 70(23):9808-15 (2010)
doi:10.1158/0008-5472.CAN-10-1118

66. Thiery JP: Epithelial-mesenchymal transitions in development and pathologies. Curr Opin Cell Biol, 15(6):740-46. (2003)
doi:10.1016/j.ceb.2003.10.006

67. Blick T, Hugo H, Widodo E, Waltham M, Pinto C, Mani SA, Weinberg RA, Neve RM, Lenburg ME, Thompson EW: Epithelial mesenchymal transition traits in human breast cancer cell lines parallel the CD44(hi/)CD24 (lo/-) stem cell phenotype in human breast cancer. J Mammary Gland Biol Neoplasia.;15(2):235-52 (2010)
doi:10.1007/s10911-010-9175-z

68. Thiery JP, Sleeman JP: Complex networks orchestrate epithelial-mesenchymal transitions. Nat Rev Mol Cell Biol. 7 (2):131-42. (2006)
doi:10.1038/nrm1835

69. Polyak K, Weinberg RA: Transitions between epithelial and mesenchymal states: acquisition of malignant and stem cell traits. Nat Rev Cancer,;9(4):265-73 (2009)
doi:10.1038/nrc2620

70. Thiery JP: Epithelial-mesenchymal transitions in tumour progression. Nat Rev Cancer,;2(6):442-54 (2002)
doi:10.1038/nrc822

71. Moody SE, Perez D, Pan TC, Sarkisian CJ, Portocarrero CP, Sterner CJ, Notorfrancesco KL, Cardiff RD, Chodosh LA: The transcriptional repressor Snail promotes mammary tumor recurrence. Cancer Cell 8(3):197-09. (2005)
doi:10.1016/j.ccr.2005.07.009

72. De Craene B, Berx G: Snail in the frame of malignant tumor recurrence. Breast Cancer Research, 8:105(2006) doi:10.1186/bcr1521
doi:10.1186/bcr1521

73. Dhasarathy A, Kajita M, Wade PA: The transcription factor snail mediates epithelial to mesenchymal transitions by repression of estrogen receptor-alpha. Mol Endocrinol,;21(12):2907-18 (2007)
doi:10.1210/me.2007-0293

74. Yang J, Mani SA, Donaher JL, Ramaswamy S, Itzykson RA, Come C, Savagner P, Gitelman I, Richardson A, Weinberg RA: Twist, a master regulator of morphogenesis, plays an essential role in tumor metastasis. Cell, 117(7):927-39. (2004)
doi:10.1016/j.cell.2004.06.006

75. Gupta PB, Onder TT, Jiang G: Identification of selective inhibitors of cancer stem cells by high-throughput screening. Cell 138(4):645-59 (2009)
doi:10.1016/j.cell.2009.06.034

76. Hirsch HA, Iliopoulos D, Tsichlis PN, Struhl K: Metformin selectively targets cancer stem cells, and acts together with chemotherapy to block tumor growth and prolong remission. Cancer Res, 69(19):7507-11 (2009)
doi:10.1158/0008-5472.CAN-09-2994

77. Li X, Lewis MT, Huang J, Gutierrez C, Osborne CK, Wu MF, Hilsenbeck SG, Pavlick A, Zhang X, Chamness GC, Wong H, Rosen J, Chang JC: Intrinsic resistance of tumorigenic breast cancer cells to chemotherapy. J Natl Cancer Inst, 100(9):672-79 (2008)
doi:10.1093/jnci/djn123

78. Creighton CJ, Li X, Landis M, Dixon JM, Neumeister VM, Sjolund A, Rimm DL, Wong H, Rodriguez A, Herschkowitz JI, Fan C, Zhang X, He X, Pavlick A, Gutierrez MC, Renshaw L, Larionov AA, Faratian D, Hilsenbeck SG, Perou CM, Lewis MT, Rosen JM, Chang JC: Residual breast cancers after conventional therapy display mesenchymal as well as tumor-initiating features. Proc Natl Acad Sci U S A, 106(33):13820-25 (2009)
doi:10.1073/pnas.0905718106

79. Charafe-Jauffret E, Ginestier C, Iovino F, Wicinski J, Cervera N, Finetti P, Hur MH, Diebel ME, Monville F, Dutcher J, Brown M, Viens P, Xerri L, Bertucci F, Stassi G, Dontu G, Birnbaum D, Wicha MS. Breast cancer cell lines contain functional cancer stem cells with metastatic capacity and a distinct molecular signature. Cancer Res, Feb 15;69(4):1302-13 (2009)


80. Hermann PC, Huber SL, Herrler T, Aicher A, Ellwart JW, Guba M, Bruns CJ, Heeschen C. Distinct populations of cancer stem cells determine tumor growth and metastatic activity in human pancreatic cancer. Cell Stem Cell, Sep 13;1(3):313-23 (2007)


81. Gavert N, Vivanti A, Hazin J, Brabletz T, Ben-Ze'ev A. L1-mediated colon cancer cell metastasis does not require changes in EMT and cancer stem cell markers. Mol Cancer Res, Jan;9(1):14-24 (2011)


82. Eramo A, Ricci-Vitiani L, Zeuner A, Pallini R, Lotti F, Sette G, Pilozzi E, Larocca LM, Peschle C, De Maria R: Chemotherapy resistance of glioblastoma stem cells. Cell Death Differ.;13(7):1238-41 (2006)
doi:10.1038/sj.cdd.4401872

83. Singh SK, Hawkins C, Clarke ID, et al: Identification of human brain tumour initiating cells. Nature 432(7015):396-01 (2004)
doi:10.1038/nature03128

84. Pallini R, Ricci-Vitiani L, Montano N, Mollinari C, Biffoni M, Cenci T, Pierconti F, Martini M, De Maria R, Larocca LM: Expression of the stem cell marker CD133 in recurrent glioblastoma and its value for prognosis. Cancer 117(1):162-74. (2011)
doi:10.1002/cncr.25581

85. Bao S, Wu Q, McLendon RE, Hao Y, Shi Q, Hjelmeland AB, Dewhirst MW, Bigner DD, Rich JN: Glioma stem cells promote radioresistance by preferential activation of the DNA damage response. Nature 444(7120):756-60 (2006)
doi:10.1038/nature05236

86. http://healthforworld.blogspot.com/2008/11/skin-cancer.html


87. http://www.cancer.gov


88. Zabierowski SE, Herlyn M: Learning the ABCs of melanoma-initiating cells. Cancer Cell.13(3):185-87 (2008)
doi:10.1016/j.ccr.2008.02.015

89. Fusi A, Reichelt U, Busse A, Ochsenreither S, Rietz A, Maisel M, Keilholz U: Expression of the stem cell markers nestin and CD133 on circulating melanoma cells. J Invest Dermatol. 131(2):487-94 (2011)
doi:10.1038/jid.2010.285

90. Gupta PB, Kuperwasser C, Brunet JP, Ramaswamy S, Kuo WL, Gray JW, Naber SP, Weinberg RA: The melanocyte differentiation program predisposes to metastasis after neoplastic transformation. Nat Genet. 37(10):1047-54 (2005)
doi:10.1038/ng1634

91. Quintana E, Shackleton M, Sabel MS, Fullen DR, Johnson TM, Morrison SJ: Efficient tumour formation by single human melanoma cells. Nature. 456(7222):593-98 (2008)
doi:10.1038/nature07567

92. Quintana E, Shackleton M, Foster HR, Fullen DR, Sabel MS, Johnson TM, Morrison SJ: Phenotypic heterogeneity among tumorigenic melanoma cells from patients that is reversible and not hierarchically organized. Cancer Cell. 18(5):510-23 (2010)
doi:10.1016/j.ccr.2010.10.012

93. Held MA, Curley DP, Dankort D, McMahon M, Muthusamy V, Bosenberg MW: Characterization of melanoma cells capable of propagating tumors from a single cell. Cancer Res. 70(1):388-97 (2010)
doi:10.1158/0008-5472.CAN-09-2153

94. Roesch A, Fukunaga-Kalabis M, Schmidt EC, Zabierowski SE, Brafford PA, Vultur A, Basu D, Gimotty P, Vogt T, Herlyn M: A temporarily distinct subpopulation of slow-cycling melanoma cells is required for continuous tumor growth. Cell. 141(4):583-94 (2010)
doi:10.1016/j.cell.2010.04.020

95. Morrison R, Schleicher SM, Sun Y, Niermann KJ, Kim S, Spratt DE, Chung CH, Lu B: Targeting the mechanisms of resistance to chemotherapy and radiotherapy with the cancer stem cell hypothesis. J Oncol. 2011:941876 (2011)
doi:10.1155/2011/941876

96. Ponta H, Sherman L, Herrlich PA: CD44: from adhesion molecules to signalling regulators. Nat Rev Mol Cell Biol. 4(1):33-45 (2003)
doi:10.1038/nrm1004

97. Godar S, Ince TA, Bell GW, Feldser D, Donaher JL, Bergh J, Liu A, Miu K, Watnick RS, Reinhardt F, McAllister SS, Jacks T, Weinberg RA: Growth-inhibitory and tumor- suppressive functions of p53 depend on its repression of CD44 expression. Cell. 134(1):62-73 (2008)
doi:10.1016/j.cell.2008.06.006

98. Bourguignon LY, Spevak CC, Wong G, Xia W, Gilad E: Hyaluronan-CD44 interaction with protein kinase C(epsilon) promotes oncogenic signaling by the stem cell marker Nanog and the Production of microRNA-21, leading to down-regulation of the tumor suppressor protein PDCD4, anti-apoptosis, and chemotherapy resistance in breast tumor cells. J Biol Chem. 284(39):26533-46 (2009)
doi:10.1074/jbc.M109.027466

99. Rappa G, Fodstad O, Lorico A. The stem cell-associated antigen CD133 (Prominin-1) is a molecular therapeutic target for metastatic melanoma. Stem Cells. 26(12):3008-17. (2008)
doi:10.1634/stemcells.2008-0601

100. Smith LM, Nesterova A, Ryan MC, Duniho S, Jonas M, Anderson M, Zabinski RF, Sutherland MK, Gerber HP, Van Orden KL, Moore PA, Ruben SM, Carter PJ: CD133/prominin-1 is a potential therapeutic target for antibody-drug conjugates in hepatocellular and gastric cancers. Br J Cancer. 99(1):100-09. (2008)
doi:10.1038/sj.bjc.6604437

101. Haraguchi N, Ishii H, Mimori K, Tanaka F, Ohkuma M, Kim HM, Akita H, Takiuchi D, Hatano H, Nagano H, Barnard GF, Doki Y, Mori M: CD13 is a therapeutic target in human liver cancer stem cells. J Clin Invest. 120(9):3326-39 (2010)
doi:10.1172/JCI42550

102. She M, Chen X: Targeting Signal Pathways active in Cancer Stem Cells to Overcome Drug Resistance. Zhongguo Fei Ai Za Zhi. 12(1):03-07 (2009)


103. Harrison H, Farnie G, Howell SJ, Rock RE, Stylianou S, Brennan KR, Bundred NJ, Clarke RB: Regulation of breast cancer stem cell activity by signaling through the Notch4 receptor. Cancer Res. 70(2):709-18 (2010)
doi:10.1158/0008-5472.CAN-09-1681

104. Real PJ, Ferrando AA: NOTCH inhibition and glucocorticoid therapy in T-cell acute lymphoblastic leukemia. Leukemia. 23(8):1374-77 (2009)
doi:10.1038/leu.2009.75

105. Lindvall C, Bu W, Williams BO, Li Y: Wnt signaling, stem cells, and the cellular origin of breast cancer. Stem Cell Rev. 3(2):157-68 (2007)
doi:10.1007/s12015-007-0025-3

106. Kakarala M, Brenner DE, Korkaya H, Cheng C, Tazi K, Ginestier C, Liu S, Dontu G, Wicha MS: Targeting breast stem cells with the cancer preventive compounds curcumin and piperine, Breast Cancer Res Treat. 122(3):777-85 (2010)
doi:10.1007/s10549-009-0612-x

107. Prasad CP, Rath G, Mathur S, Bhatnagar D, Ralhan R: Potent growth suppressive activity of curcumin in human breast cancer cells: Modulation of Wnt/beta-catenin signaling. Chem Biol Interact. 181(2):263-71 (2009)
doi:10.1016/j.cbi.2009.06.012

108. Goel A, Aggarwal BB: Curcumin, the golden spice from Indian saffron, is a chemosensitizer and radiosensitizer for tumors and chemoprotector and radioprotector for normal organs. Nutr Cancer. 62(7):919-30 (2010)
doi:10.1080/01635581.2010.509835

109. Singh S, Khar A: Biological effects of curcumin and its role in cancer chemoprevention and therapy. Anticancer Agents Med Chem. 6(3):259-70 (2006)
doi:10.2174/187152006776930918

110. Shoba G, Joy D, Joseph T, Majeed M, Rajendran R, Srinivas PS: Influence of piperine on the pharmacokinetics of curcumin in animals and human volunteers. Planta Med. 64(4):353-56 (1998)
doi:10.1055/s-2006-957450

111. Bhardwaj RK, Glaeser H, Becquemont L, Klotz U, Gupta SK, Fromm MF: Piperine, a major constituent of black pepper, inhibits human P-glycoprotein and CYP3A4. J Pharmacol Exp Ther. 302(2):645-50 (2002)
doi:10.1124/jpet.102.034728

112. Limtrakul P, Chearwae W, Shukla S, Phisalphong C, Ambudkar SV: Modulation of function of three ABC drug transporters, P-glycoprotein (ABCB1), mitoxantrone resistance protein (ABCG2) and multidrug resistance protein 1 (ABCC1) by tetrahydrocurcumin, a major metabolite of curcumin. Mol Cell Biochem. 296(1-2):85-95 (2007)
doi:10.1007/s11010-006-9302-8

113. Li Y, Zhang T, Korkaya H, Liu S, Lee HF, Newman B, Yu Y, Clouthier SG, Schwartz SJ, Wicha MS, Sun D: Sulforaphane, a dietary component of broccoli/broccoli sprouts, inhibits breast cancer stem cells. Clin Cancer Res. 16(9):2580-90 (2010)
doi:10.1158/1078-0432.CCR-09-2937

114. Merchant AA, Matsui W: Targeting Hedgehog--a cancer stem cell pathway. Clin Cancer Res. 16(12):3130-40 (2010)
doi:10.1158/1078-0432.CCR-09-2846

115. Varnat F, Duquet A, Malerba M, Zbinden M, Mas C, Gervaz P, Ruiz i Altaba A: Human colon cancer epithelial cells harbour active HEDGEHOG-GLI signalling that is essential for tumour growth, recurrence, metastasis and stem cell survival and expansion. EMBO Mol Med. 1(6-7):338-51 (2009)
doi:10.1002/emmm.200900039

116. Cooper MK, Porter JA, Young KE, Beachy PA: Teratogen-mediated inhibition of target tissue response to Shh signaling. Science. 280(5369):1603-07 (1998)
doi:10.1126/science.280.5369.1603

117. Zhang J, Garrossian M, Gardner D, Garrossian A, Chang YT, Kim YK, Chang CW: Synthesis and anticancer activity studies of cyclopamine derivatives. Bioorg Med Chem Lett. 18(4):1359-63 (2008)
doi:10.1016/j.bmcl.2008.01.017

118. Stanton BZ, Peng LF: Small-molecule modulators of the Sonic Hedgehog signaling pathway. Mol Biosyst. 6(1):44-54 (2010)
doi:10.1039/b910196a

119. Ginestier C, Liu S, Diebel ME, Korkaya H, Luo M, Brown M, Wicinski J, Cabaud O, Charafe-Jauffret E, Birnbaum D, Guan JL, Dontu G, Wicha MS: CXCR1 blockade selectively targets human breast cancer stem cells in vitro and in xenografts. J Clin Invest. 120(2):485-97. (2010)
doi:10.1172/JCI39397

120. Iliopoulos D, Hirsch HA, Wang G, Struhl K: Inducible formation of breast cancer stem cells and their dynamic equilibrium with non-stem cancer cells via IL6 secretion. Proc Natl Acad Sci U S A. 108(4):1397-02 (2011)
doi:10.1073/pnas.1018898108

121. Kastritis E, Charidimou A, Varkaris A, Dimopoulos MA: Targeted therapies in multiple myeloma. Target Oncol. 4(1):23-36 (2009)
doi:10.1007/s11523-008-0102-9

122. Nagata Y, Lan KH, Zhou X, Tan M, Esteva FJ, Sahin AA, Klos KS, Li P, Monia BP, Nguyen NT, Hortobagyi GN, Hung MC, Yu D: PTEN activation contributes to tumor inhibition by trastuzumab, and loss of PTEN predicts trastuzumab resistance in patients. Cancer Cell. 6(2):117-27 (2004)
doi:10.1016/j.ccr.2004.06.022

Key Words: Cancer Stem Cells, Cancer Relapse, Breast Cancer, Glioblastoma, Melanoma, Review

Send correspondence to: Randolph Elble, PO Box 19629, Southern Illinois University School of Medicine, Springfield, IL 62794, Tel: 217-545-7381, Fax: 217-545-1398, E-mail:relble2@siumed.edu