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focus on cancer review The cancer stem cell: premises, promises and challenges © 2011 Nature America, Inc. All rights reserved. Hans Clevers Over the last decade, the notion that tumors are maintained by their own stem cells, the so-called cancer stem cells, has created great excitement in the research community. This review attempts to summarize the underlying concepts of this notion, to distinguish hard facts from beliefs and to define the future challenges of the field. Central to the cancer stem cell (CSC) concept is the observation that not all cells in tumors are equal. The CSC concept postulates that, similar to the growth of normal proliferative tissues such as bone marrow, skin or intestinal epithelium, the growth of tumors is fueled by limited numbers of dedicated stem cells that are capable of selfrenewal. The bulk of a tumor consists of rapidly proliferating cells as well as postmitotic, differentiated cells. As neither of these latter two classes of cells has the capacity to self-renew, the contribution of these non-CSC tumor cells to the long-term sustenance of the tumor is negligible. A major attraction of the CSC concept rests in the explanations it provides for several poorly understood clinical phenomena. CSCs are tacitly believed to have acquired the molecular armaments of normal stem cells: CSCs can renew themselves, and they are built to last a lifetime, to be resilient to electromagnetic and chemical insults, to be able to slumber for prolonged periods of time and to colonize other parts of the body. Thus, the CSC hypothesis could explain what is commonly known: a person with cancer can generally not be considered cured, even when his or her initial response to radiation or chemotherapy is encouragingly robust. Rare CSCs may be able to survive these therapeutic regimens, thus explaining why local recurrence is the almost-inevitable outcome of effective treatment of solid tumors by radiation or chemotherapy. Quiescent CSCs that have drifted to distant sites may be responsible for metastases that can appear many years after curative surgical treatment of a primary tumor. Metastatic relapse in breast cancer, for instance, can occur more than a decade after initial treatment1. Lastly, the CSC hypothesis promises the development of more effective treatments, aimed not at reducing tumor bulk, but rather at targeting the ‘beating heart’ of the tumor, the CSC. An avalanche of primary papers, reviews, workshops and symposia has been devoted to this concept. As often occurs in rapidly developing fields of science, the opinions and conclusions of authors, reviewers and editors alike may have been colored by scientific enthusiasm Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences and University Medical Center Utrecht, Utrecht, The Netherlands. Correspondence should be addressed to H.C. ([email protected]). Published online 7 March 2011; doi:10.1038/nm.2304 nature medicine VOLUME 17 | NUMBER 3 | MARCH 2011 and clinical promise. Indeed, an attitude of healthy caution seems to be developing in the maturing cancer stem cell community. History Stem cell concepts and their application to cancer are many decades old2 (Fig. 1). Since the nineteenth century, tumors have been known to show explicit histological heterogeneity. In 1937, Furth and Kahn established that a single cell from a mouse tumor could initiate a new tumor in a recipient mouse3. Subsequently, the frequency of tumorinitiating cells in solid tumors and leukemias was found to be variable but low, requiring 103 to 107 cells4–6. The resulting tumors typically showed the morphologic heterogeneity of the original tumor. In a series of landmark experiments, Pierce showed that malignant teratocarcinomas contain highly tumorigenic cells that, as single cells, can differentiate into multiple differentiated, nontumorigenic cell types7. Thus, teratocarcinomas loosely follow normal development. Incidentally, these insights laid the foundation for the embryonic stem cell field. In the mid-1900s, techniques became available to identify proliferating cells by radiolabeling. Combined with autoradiography8, this allowed measurements of cellular proliferation, lifespan and hierarchical organizations within normal tissues9. By using this approach on a mouse squamous cell carcinoma in 1971, Pierce showed that early labeling occurred almost exclusively in the undifferentiated areas. At later time points, the DNA label appeared in the well-differentiated areas, which were thus shown to derive from undifferentiated cells. These well-differentiated cells did not form tumors when transplanted into compatible hosts10. These and other experiments led Pierce to the following early definition of the CSC concept11: “a concept of neoplasms, based upon developmental and oncological principles, states that carcinomas are caricatures of tissue renewal, in that they are composed of a mixture of malignant stem cells, which have a marked capacity for proliferation and a limited capacity for differentiation under normal homeostatic conditions, and of the differentiated, possibly benign, progeny of these malignant cells.” Hematological tumors were also found to show proliferative hetero geneity12,13 and a hierarchical organization14,15, leading to the prediction that slow-cycling leukemic stem cells caused tumor relapse14,16,17. Investigators then observed that leukemic stem cells entered into the cell 313 © 2011 Nature America, Inc. All rights reserved. review cycle after chemotherapy, much like normal Clonal evolution Cancer stem cells stem cells. These findings provided the rationRous discovers his sarcoma virus 1911 ale for combining chemotherapeutic agents18. The focus of cancer research shifted in 1937 Furth and Kahn graft single mouse tumor cell the 1970s, when mutations in oncogenes 1946 Belanger and Leblond develop autoradiography and tumor suppressor genes were found to and document stem cell hierarchies cause most human cancers. This let Nowell to formulate the clonal evolution concept 19, 1960 Pierce: teratomas contain pluripotent stem cells stating “it is proposed that most neoplasms 1963 Till and McCulloch discover arise from a single cell of origin, and tumor hematopoietic stem cells 1965 progression results from acquired genetic Nobel Prize for Peyton Rous 1966 variability within the original clone allowMultiple studies report stem-like 1971 Knudson defines tumor suppressor cells in hematological malignancies ing sequential selection of more aggressive ‘two-hit’ hypothesis sublines. Tumor cell populations are appar1975 Varmus and Bishop discover the ently more genetically unstable than normal Src protooncogene 1976 cells. The acquired genetic instability and Nowell formulates the clonal evolution associated selection process, most readmodel of multihit carcinogenesis ily recognized cytogenetically, results in 1986 advanced human malignancies being highly Weinberg and colleagues clone the first tumor suppressor Rb individual karyotypically and biologically. Hence, each person’s cancer may require Nobel for Varmus and Bishop 1989 individual specific therapy, and even this 1995 may be thwarted by emergence of a genetiJohn Dick revives CSC theory by xenografting human AML cally variant subline resistant to the treatment.” Fearon and Vogelstein formulated a 2003 Clarke demonstrates CSCs in breast cancer by xenografting clonal evolution model for colon cancer, in which the progression from early adenoma to invasive carcinoma reflects the stepwise Figure 1 A timeline of the important discoveries in the fields of clonal evolution and cancer stem cells. Clonal evolution is shown on the left, and CSCs are shown on the right. acquisition of mutations in specific cancer 20 genes . The concept of clonal evolution provided a ready explanation for the relentless advance toward ever cancer cells, and the two fractions showed equal cell cycle kinetics24, more malignant behavior within established tumors. yet the tumors seemed hierarchically organized when tested functionally. This paper was rapidly followed by similar studies on other solid Revival of the CSC concept. In the early nineties, research on hemato tumors such as brain cancers25 and colon cancers26–28. For a comprepoietic stem cells was flourishing, and bone marrow transplantation hensive recent overview of these efforts, the reader is referred to ref. 29. had successfully been introduced in the clinic. Crucial technologies In each case, small numbers of cells defined by specific markers were had been developed, such as FACS combined with large sets of well- able to transfer disease into immunodeficient mice. As in earlier validated cell surface markers and mouse xenograft assays for human studies, the frequencies of tumorigenic cells were variable and often hematopoietic stem cells. Dick and his colleagues revived the study low. Typically, the transplanted tumors tended to recapitulate at least of functional heterogeneity within leukemias21 and found that most some of the heterogeneity of the original tumors. Most studies of CSCs follow a common scenario: a marker or marker subtypes of acute myeloid leukemia (AML) could be engrafted reliably in immunodeficient mice. Leukemic engraftment could only be combination is found to be expressed in a heterogeneous fashion in initiated from CD34+CD38− fractions. Moreover, the xenograft assay a certain tumor type. On the basis of this marker heterogeneity, suballowed measurement of the frequency of the initiating cell; it was populations of cells are sorted from primary tumors and transplanted found to be on the order of one per million tumor cells. Thus, a CSC into immunodeficient mice by limiting dilution, after which tumor growth is scored some weeks or months later. Different capacities was identified in AML22,23. Clarke and his colleagues applied these concepts and experimen- for tumor initiation between tumor cell subsets can be interpreted tal approaches for the first time to a solid breast cancer tumor. In a as evidence for the presence of CSCs in the primary tumor, and it is landmark paper that appeared in 2003 (ref. 24), it was shown that then often said that the tumor adheres to the CSC model. To date, breast tumors comprise heterogeneous populations of breast cancer many theoretical and experimental caveats to the CSC model have cells. In the xenograft assay, as few as 100 CD44+CD24−/low cells were remained unexplored, largely because of technological challenges. tumorigenic, whereas tens of thousands of cells with alternate pheno- Below I discuss a number of these issues. types were not. Of note, normal human leukocytes, endothelial cells, mesothelial cells, and fibroblasts were eliminated from the transplant Caveats to theory and to experimental strategy by the use of a set of defined lineage markers (‘Lineage−’). The tumori- Is the CSC phenotype a stable trait? The xenograft assay provides genic subpopulation could be serially passaged: each time, cells within a snapshot of the state of cancer cells at the time of removal of a this population generated new tumors containing CD44+CD24−/low tumor. Does a positive outcome of the xenograft assay identify a CSC tumorigenic cells as well as the phenotypically diverse nontumorigenic population that would have been stable in time in the original tumor, cells present in the initial tumor. No clear morphological distinction or would cancer cells fluctuate between CSC and non-CSC states? was obvious between the tumorigenic and nontumorigenic breast Dick has termed these two situations the hierarchical and stochastic 314 VOLUME 17 | NUMBER 3 | MARCH 2011 nature medicine © 2011 Nature America, Inc. All rights reserved. review models, respectively2. The stability of the CSC phenotype has not yet been experimentally probed. Nevertheless, two recent studies shed some light on the plasticity of CSC tumor cells. In their study on melanoma, Morrison and his colleagues30,31 showed that tumors arising both from CD133− cells and from CD133+ cells sorted from an original melanoma re-establish the original ratios of CD133− and CD133+ cells. This experiment indicates that individual cancer cells can recapitulate the marker heterogeneity of the tumors from which they derive. In a follow-up study32, the same authors showed that all of 15 commonly used CSC markers behaved similarly to CD133. Roesch et al.33 report differential expression of the H3K4 demethylase JARID1B in subpopulations of human melanoma cells in culture. JARID1B+ cells cycled more slowly than JARID1B− cells, but they also generated more progeny and were more tumorigenic, thereby implying that expression of the demethylase indicates the CSC state. Notably, the authors showed that JARID1B expression fluctuates; even when starting from a single cell, JARID1B+ cells could arise from cells that did not express JARID1B and vice versa. The authors concluded that tumor maintenance may be viewed as a dynamic process mediated by temporarily distinct subpopulations of cancer cells33. In a related example, Settleman and his colleagues detected a subpopulation of reversibly drug-tolerant cells in human cancer cell lines34. These cells showed >100-fold reduced drug sensitivity, which required expression of the histone demethylase JARID1A. The drugtolerant phenotype was transiently acquired and lost at low frequencies by individual cells34.These examples indicate that plasticity of the CSC state should be given serious consideration. Only if the CSC phenotype is a stable trait will it be advantageous to selectively target CSCs as a cancer treatment. How good is the xenograft assay? Currently, only a single assay exists that defines human CSCs. As described above, it involves xenotransplantation of sorted cancer cells into immunodeficient mice. What does this assay score? A critical view suggests that the sorted and transplanted human cancer cell has been challenged by various experimental manipulations and subsequently ends up in a context that is dramatically different from the original tumor niche. A cell that manages to colonize a mouse tissue must by definition be highly robust, but there is no direct evidence to state that cellular behavior after xenotransplantation indeed reflects the hierarchical position of the same cell within the original tumor. In addition to the cellular stress induced by the experimental procedure, two experimental caveats are inherent to xenografting: the species barrier and the transplantation setting. Species barriers may impede certain crucial niche functions such as interactions between adhesion molecules or between growth factors and their receptors. And even a rather trivial phenomenon such as the delivery of essential iron by the transferrin–transferrin receptor system occurs at 1% efficiency across the mouse-human species barrier35. Some of these complications may be mitigated by providing human growth factors36 or human stromal elements37, or by orthotopic transplantion rather than transplantation under the skin or kidney capsule38. Indeed, when the species barrier is avoided by transplanting mouse tumor cells into fully histocompatible recipient mice, the efficiency of engraftment can be dramatically improved39–41. Yet, encouragingly, it is often still possible to show preferential engraftment of selected tumor cells for certain mouse leukemias40–42, for mouse breast cancers43–45 and for mouse squamous cell carcinomas10,46. Preferential engraftment of potential CSCs was not observed in some other mouse leukemia models, however, leading to the conclusion in the latter models that CSCs do not exist39,47. nature medicine VOLUME 17 | NUMBER 3 | MARCH 2011 Although the cross-species barrier seems to affect the outcome quantitatively but often not qualitatively, this may not be true for the technique of transplantation. As pointed out by Morrison and his colleagues, transplantation of any stem cell can reveal the potential of the stem cell under the particular assay conditions, but it cannot reveal the actual fate of the transplanted cell in its original tissue or tumor31 . This may seem trivial, but multiple well-documented examples illustrate the dramatic change in stem cell behavior induced by transplantation. For instance, quiescent hair bulge stem cells will generate only hair, but not epidermis or sebaceous glands, as assessed by Cre-mediated genetic lineage tracing. Upon transplantation, however, the same cells will readily generate all three components of the mouse epidermis48. A noteworthy recent example of stem cell plasticity is provided by Barrandon and his colleagues, who show that endodermal thymic epithelial cells can adopt the fate of ectodermal hair follicle stem cells when exposed to an inductive skin microenvironment49. At present, no direct evidence exists that unmanipulated solid tumors harbor CSCs, or, in other words, cells with self-renewing properties that fuel long-term tumor expansion. The radiolabeling techniques that historically allowed a primitive version of stem and progenitor cell tracing in bone marrow and leukemias are no longer ethically acceptable in humans, as they involve exposure to radiation. To complement the xenotransplantation assay, it is of central importance that assays be developed that can show the functional presence of CSCs within the primary tumor. The development of such assays that would avoid cell isolation and transplantation may require the identification of single, definitive marker genes for CSCs. Based on such markers, knock-in mouse models or viral-tagging strategies may be developed to allow genetic lineage tracing. It is currently not obvious how such technologies can be developed to allow the definitive identification in situ of CSCs in humans. What are bona fide CSC markers? The original studies on leukemia stem cells rested heavily on the well-understood stem-progenitor hierarchy of healthy bone marrow. Markers such as CD34 and CD38 had been extensively validated in the identification of normal hemato poietic stem cells and were obvious choices for the definition of leukemia stem cells22,23. Unfortunately, stem cells and the developmental hierarchy are poorly characterized in most tissues that develop solid cancers. As a consequence, few if any definitive stem cell markers are available to the CSC researcher of solid tumors. Indeed, Al-Hajj et al.24 chose the CD24 and CD44 marker combination, as these markers showed heterogeneous expression in breast tumors, and not because they were known to define breast epithelial stem cells. Another commonly used marker in CSC studies, CD133 (also known as prominin), has been implied as a normal stem cell marker, but recent evidence has revealed that it is widely expressed in many organs 50. Probably as a consequence, there has been considerable disagreement over the usefulness and reproducibility of particular markers for different tumor types. For instance, CD133 was used in the initial studies on colon cancer27,28 and brain cancer CSCs25,51 but was contested in subsequent studies on colon26,50 and brain cancer52–55. Similarly conflicting results were reported with the marker CD271 in melanoma32,56. Morrison and his colleagues recently pointed out an additional complication30,32; they showed for a large series of popular CSC markers that sorted marker-positive and marker-negative populations readily regenerate the original pattern of marker expression. The sobering conclusion is that current CSC markers (Table 1) are primarily chosen as robust, heterogeneously expressed FACS markers that allow the faithful sorting of marker-positive and marker-negative 315 review © 2011 Nature America, Inc. All rights reserved. populations; however, they are not selected on the basis of a deep understanding of the underlying stem cell biology of the pertinent tissue from which the cancer originates. Validation of important premises and promises of the CSC concept Are CSCs rare? The original data on AML showed that CSCs in this tumor type were exceedingly rare22,23. This has led to the commonly held premise that CSCs should always be rare. The inverse logic states that a tumor containing high numbers of transplantable cells does not adhere to the CSC model. Transplantation of sorted populations of human CSCs typically involves the injection of thousands of cells into a single mouse to result in tumor growth. It has been reasoned—but never proven—that subsequent tumor growth indicates the presence of a single CSC in the injected cell sample. On the basis of this premise, CSC frequency is essentially a calculated value. Strasser and his colleagues reported in 2007 (ref. 39) that leukemias of mouse origin transplanted into histocompatible recipients showed a very high frequency of CSCs of at least one in ten (ref. 39). They suggested that the low frequency of tumor-initiating cells observed in xenotransplantation studies may only reflect the limited ability of human tumor cells to adapt to growth in a xenoenvironment (as discussed above), and presented these findings as evidence against the CSC concept. Similar observations of high-efficiency engraftment of mouse leukemia cells were reported, for instance, by Williams et al.47 in 2007. Studies on human melanoma provide an illustration of the complexity of determining CSC frequency. In an initial study, a frequency for CSCs in human melanoma of <1 per million cells was reported57. Morrison and his colleagues did an insightful experiment in which they showed that the apparent frequency of tumor-initiating cells in the same human tumor type was strongly dependent on experimental xenograft conditions. Sequential adaptations to their original assay led to a protocol in which one of every four unsorted, singly transplanted human melanoma cells could grow out into a tumor, an improvement of more than 105-fold over the originally determined frequency30. Boiko et al.56 provided an additional twist to this story. They used CD271 as a marker and reported a melanoma CSC frequency between 2.5% and 41%. Even more recently, this observation was again challenged by Morrison and his colleagues; they showed that CD271+ and CD271− single primary melanoma cells from similar subjects as used by Boiko et al.56 can both initiate tumors at frequencies of at least one in four30. It should be concluded that the frequency at which CSCs are present within a tumor may be irrelevant to deciding if a tumor adheres to the CSC model. But when CSCs compose the bulk of a tumor, it becomes less relevant to distinguishing those cells from the bulk population of cancer cells when considering targeted therapy. Are CSCs dormant? Transient and long-term quiescence, the latter also termed dormancy, are generally believed to be fundamental attributes of adult stem cells58,59. On the basis of this premise, stem cells are often identified by their propensity to retain DNA labels much longer than their rapidly proliferating offspring. Dormancy may be a crucial mechanism for the resistance of CSCs to anti-proliferative chemotherapy. Moreover, if indeed CSCs occur in a dormant state, this would explain the appearance of local recurrence or distant metastasis after long lag periods. Most likely because of technical challenges, the existence of dormant CSCs in human tumors has not been directly explored. It is actually unknown whether CSCs that are dormant in a primary tumor can be detected by the xenograft assay as it is currently performed. Indeed, 316 Table 1 Surface markers used for the identification of CSCs Marker Expression in healthy tissue CD19 CD20 CD24 Broadly on B lymphocytes B cell malignancies Broadly on B lymphocytes Melanoma Broadly on B cells; neuroblasts Pancreas/lung cancer, negative on breast cancer Hematopoietic and endothelial Hematopoietic malignancies progenitors Multiple stages of B and T cells Negative on AML Broadly on many tissues Breast/liver/head and neck/ pancreas cancer T cells, neurons Liver cancer Proliferative cells in multiple Brain/colorectal/lung/liver organs cancer Panepithelial marker Colorectal cancer, pancreatic cancer Keratinocyte progenitors Melanoma CD34 CD38 CD44 CD90 CD133 EpCAM/ESA ABCB5 Marks cancer stem cells in ABCB5, ATP-binding cassette transporter B5; EpCAM, epithelial cell adhesion molecule; ESA, epithelial-specific antigen. Table is adapted from ref. 29. Al Hajj et al.24 did not note cell cycle differences between tumorigenic and nontumorigenic breast cancer cells. The xenograft is typically read within months after transplantation, which may restrict CSC detection to only the most robustly proliferating cells. It is notable that increasing numbers of tumors are scored when transplanted mice are monitored over longer time periods30. In an indirect attempt to probe dormancy of breast CSCs, Di Fiore and his colleagues derived a gene signature for normal quiescent mammary gland stem cells present within cultured mammospheres on the basis of their ability to retain the lipophilic dye PKH26. When applied to breast cancers, this gene signature correlated with CSC behavior60. The definitive identification of quiescent CSCs in primary tumors will—at the least—require adaptations to current assay conditions, ideally allowing the transplantation of a single candidate CSC with a defined quiescence status. Are CSCs therapy resistant? It is often suggested that CSCs are resistant to therapy in the same way that normal stem cells are protected against insult; these protections include, for example, mechanisms such as quiescence, expression of ABC drug pumps, high expression of antiapoptotic proteins and resistance to DNA damage61. Some groups have started to explore if CSCs are indeed more resistant to therapy than their progeny. For instance, CD133-expressing glioma cells survive ionizing radiation better relative to CD133− tumor cells51. CD44highCD24low breast cancer CSCs appear intrinsically resistant to conventional chemotherapy62 and ionizing radiation63. And chronic myeloid leukemia (CML) is sustained by leukemic stem cells that are relatively resistant to the drug imatinib64,65. Nevertheless, the phenomenon of intrinsically therapy-resistant CSCs cannot be generalized, as, for instance, the undifferentiated cells that drive testicular germ cell tumors are more sensitive to radiation or cisplatin therapy than their differentiated cellular progeny66. Tumor cells that escape therapy, however, may not be endowed with intrinsic therapy resistance; rather, they may simply be the stochastic ‘winners’ of the tumor cell–killing process. On the contrary, when intrinsic differences in the sensitivity of cancer cells to therapy do exist, these may also be determined genetically rather than by epigenetic differences67. Recent clinical studies have begun to monitor the prevalence of CSCs during chemotherapy. Li et al.62 studied subjects undergoing neoadjuvant chemotherapy. Exactly as predicted by the CSC concept, the cells without CSC markers were killed by the chemotherapy, resulting in tumor regression, but cells with CSC markers appeared resistant, VOLUME 17 | NUMBER 3 | MARCH 2011 nature medicine as their relative numbers increased in the residual tumor. Along these lines, Dick and his colleagues identified leukemia-initiating cells in T-lineage acute lymphoblastic leukemia (T-ALL) disease and relapse and showed that leukemia-initiating cells persist following dexamethasone treatment in high-risk T-ALL68. Clearly, more clinical studies are required to assess how responses to therapy correlate with CSC biomarkers. In particular, it will be of interest to determine if CSC markers correlate better with clinical outcomes than bulk tumor properties do. Cancer stem cell Epithelium 1 2 Benign lesion Stem cell (progenitor or differentiated cell) Malignant tumor Malignant clone Metastatic cell 3 Blood vessel 4 Are CSCs responsible for metastasis and relapse? Directly related to the therapy resistance of CSCs is the hypothetical causal role of CSCs in tumor relapse, be it at local or at distant sites. This issue is very difficult to address experimentally. An extreme interpretation of the xenograft assay is that it actually scores cells that are particularly good at colonizing foreign sites; it would thus identify these cells as metastasis ‘champions’. Some studies have attempted to address whether CSCs are involved in metastasis. In the invasive front of pancreatic tumors, a distinct subpopulation of CD133+CXCR4+ cancer stem cells was identified that determines the metastatic phenotype of the individual tumor69. Tumorigenic pancreas carcinoma cell lines were then used to show that depletion of CD133+CXCR4+ cells virtually abrogated the metastatic potential of the cell lines without affecting their tumorigenic potential69. These results can be interpreted to suggest that a subset of CSCs is responsible for metastasis. Along these lines, tumorigenic CD44+CD24−/low cells are readily detectable in metastatic pleural fluid in subjects with breast cancer; in addition, breast cancer cells found in bone marrow show a putative breast CSC phenotype24,70. In sum, studies that suggest a role of CSCs in relapse are very limited in number, and they largely provide indirect evidence for this notion. Additional experimental approaches will need to be developed before it can be concluded that CSCs are responsible for local relapse and metastasis. nature medicine VOLUME 17 | NUMBER 3 | MARCH 2011 Katie Vicari Figure 2 A theoretical synthesis of the clonal evolution and CSC concepts. Top to bottom: clonal evolution drives tumor progression. (1) The first oncogenic mutation (lightning arrow) occurs in a stem cell (or, alternatively, in a progenitor or even a differentiated cell) of a healthy epithelium, resulting in the growth of a genetically homogeneous benign lesion. (2) The second hit targets one of the cells in the benign lesion, which leads to the growth of a more malignant and invasive clone within the primary tumor. (3) A third hit in a cell within the malignant subclone causes further transformation, visualized as entry into a blood vessel for distant metastasis. Genetically independent subclones can coexist within the tumor. (4) A final mutational hit leads to tumor being entirely taken over by cells that behave as cancer stem cells. Shown, left to right: at each stage of this clonal evolution process, tumors and subclones within tumors contain some cells that behave as CSCs. The final hit (4) causes all cells to behave as CSCs, rendering the CSC concept meaningless at this stage. Clonal evolution © 2011 Nature America, Inc. All rights reserved. review Are CSCs potential targets of new therapeutic strategies? The CSC concept promises the development of therapeutic strategies beyond traditional antiproliferative agents. Potential approaches to kill CSCs may exploit the survival mechanisms (such as dormancy) of these stem-like cells. As discussed above, the existence of dormant CSCs in human tumors has not been directly explored. Nevertheless, Ishikawa and his colleagues have recently provided evidence for the presence of quiescent AML stem cells within the bone marrow of mice transplanted with human AML cells71. The quiescent state of these cells could be broken: granulocyte colony–stimulating factor treatment induced cell cycle entry and increased the sensitivity of the AML stem cells to chemotherapy. Moreover, cultured CD34+ stem and progenitor cells isolated from subjects positive for BCR-ABL1 (breakpoint cluster region–c-abl oncogene-1, non-receptor kinase) CML contain quiescent cells that are resistant to imatinib, a small molecule targeting the constitutively active BCR-ABL kinase in CML72. Indeed, most people with CML respond very well to imatinib. Nevertheless, even people showing apparently complete responses to treatment are not cured, as discontinuation of imatinib treatment frequently leads to relapse of the disease. This may be due to in vivo equivalents of the imatinib-resistant, quiescent CML stem cells observed in culture72. 317 © 2011 Nature America, Inc. All rights reserved. review Other avenues of targeting CSCs may not survive close scrutiny. The markers that have been used so far to define CSCs constitute unlikely candidates for antibody therapy given that they are usually broadly expressed in healthy tissue. Moreover, in many cases, CSCs can only be identified by marker combinations; this obviates their use as therapy targets. Also, the oncogenic changes in CSCs do not represent unique vulnerabilities of these cells relative to their offspring, as the oncogenic mutation is present in every cell of the CSC hierarchy. In the case of the oncogenic BCR-ABL1 translocation in CML, the CSCs actually seem less sensitive to the targeting agent imatinib72 than the bulk of the tumor. An opportunistic approach, unbiased by theory, to uncover known or new compounds that target CSCs will involve high-throughput screening. To that end, CSCs will have to be characterized in great depth and assays with high specificity will need to be developed. If CSC-targeting therapeutic strategies will reach the clinic, new clinical trial designs will have to be developed to assess the efficacy of these therapies. Tumor regression, a currently used clinical endpoint, will be inadequate when CSCs constitute only the minority of the cells within a solid tumor. Indicators of effective stem cell targeting will need to be developed and agreed on with the regulatory authorities. Epilogue: are CSCs and clonal evolution mutually exclusive? To date, the CSC field has treated tumors as genetically homogeneous entities, by and large ignoring the fact that the observed tumor heterogeneity may result from underlying genetic differences. However, it is well known that most solid tumors show extensive genomic instability73. Moreover, genetic defects in a large variety of molecules that are involved in the maintenance of the integrity of the genome are well-known drivers of oncogenesis74. Even in a disease like CML, so clearly driven by stem cells, clonal evolution can be seen at work when imatinib is administered: the malignancy becomes tumor-resistant through the emergence of clones that carry mutations in the target of imatinib, the BCR-ABL1 fusion gene75. And the progression of CML into ALL blast crisis is caused by the emergence of subclones that harbor inactivating lesions in the cyclin-dependent kinase inhibitor 2A (CDKN2A, also known as ARF) gene in addition to the BCR-ABL1 translocation76. The evidence for clonal evolution in the pathogenesis of cancer is so overwhelming that it appears inescapable that all models should be integrated with it. The recent rapid advances in DNA sequencing are now allowing the global analysis of genomic changes of cancer cells 77,78. These analyses have confirmed many previously known common genetic alterations in cancer, and they have also revealed some new common mutations as well as unexpectedly large numbers of rare mutations. As a next step, this technology can be applied to chart genetic heterogeneity within individual tumors as well as between primary tumors and their local recurrences and metastases79,80. It should thus be possible to map, in both space and time, the genetic evolution of a tumor. Two recent studies on pancreatic cancer have done just that81,82, reporting that genetic heterogeneity exists within primary tumors and among metastasis-initiating cells, and that metastasic behavior requires driver mutations beyond those needed within primary tumors. The analysis even allowed a reconstruction of the timeline of tumor progression82. Whereas these genetic analyses focus primarily on ‘hard-wired’ DNA changes in the genome of the cancer cell, the CSC concept has introduced another valuable perspective to the biology of the cancer cell. Even though cancer cells may genetically be the same, they may still occupy different positions in a differentiation hierarchy, thereby 318 mirroring the physiological hierarchy of the tissue of origin. Moreover, a single tumor may contain multiple cancer stem cell clones that are genetically distinct, but that will always have a common ancestor: the cell of origin of the tumor that sustained the first oncogenic mutation. Thus, the assays and insights that have been brought into cancer research by the CSC field may be layered over the genetic data (Fig. 2). In conjunction with a successful synthesis with insights derived from clonal evolution, the CSC concept may fulfill its promise. Acknowledgments The author thanks E. Verheyen for discussions. COMPETING FINANCIAL INTERESTS The author declares no competing financial interests. Published online at http://www.nature.com/naturemedicine/. Reprints and permissions information is available online at http://npg.nature.com/ reprintsandpermissions/. 1. Aguirre-Ghiso, J.A. Models, mechanisms and clinical evidence for cancer dormancy. Nat. Rev. Cancer 7, 834–846 (2007). 2. Dick, J.E. Stem cell concepts renew cancer research. Blood 112, 4793–4807 (2008). 3. Furth, J. & Kahn, M. The transmission of leukemia of mice with a single cell. Am. J. Cancer 31, 276–282 (1937). 4. Makino, S. Further evidence favoring the concept of the stem cell in ascites tumors of rats. Ann. NY Acad. Sci. 63, 818–830 (1956). 5. Hewitt, H.B. Studies of the dissemination and quantitative transplantation of a lymphocytic leukaemia of CBA mice. Br. J. Cancer 12, 378–401 (1958). 6. Bruce, W.R. & Van Der Gaag, H. A quantitative assay for the number of murine lymphoma cells capable of proliferation in vivo. Nature 199, 79–80 (1963). 7. Kleinsmith, L.J. & Pierce, G.B. Jr. Multipotentiality of single embryonal carcinoma cells. Cancer Res. 24, 1544–1551 (1964). 8. Belanger, L.F. & Leblond, C.P. A method for locating radioactive elements in tissues by covering histological sections with a photographic emulsion. Endocrinology 39, 8–13 (1946). 9. Clermont, Y. & Leblond, C.P. Renewal of spermatogonia in the rat. Am. J. Anat. 93, 475–501 (1953). 10.Pierce, G.B. & Wallace, C. Differentiation of malignant to benign cells. Cancer Res. 31, 127–134 (1971). 11.Pierce, G.B. & Speers, W.C. Tumors as caricatures of the process of tissue renewal: prospects for therapy by directing differentiation. Cancer Res. 48, 1996–2004 (1988). 12.Clarkson, B. et al. Studies of cellular proliferation in human leukemia. 3. Behavior of leukemic cells in three adults with acute leukemia given continuous infusions of 3H-thymidine for 8 or 10 days. Cancer 25, 1237–1260 (1970). 13.Killmann, S.A., Cronkite, E.P., Robertson, J.S., Fliedner, T.M. & Bond, V.P. Estimation of phases of the life cycle of leukemic cells from labeling in human beings in vivo with tritiated thymidine. Lab. Invest. 12, 671–684 (1963). 14.Clarkson, B.D. Review of recent studies of cellular proliferation in acute leukemia. Natl. Cancer Inst. Monogr. 30, 81–120 (1969). 15.Clarkson, B. The survival value of the dormant state in neoplastic and normal populations. in Control of Proliferation in Animal Cells (eds. Clarkson, B., Baserga, R.) 945–972 (Cold Spring Harbor Laboratory, New York, NY, 1974). 16.Clarkson, B.D. & Fried, J. Changing concepts of treatment in acute leukemia. Med. Clin. North Am. 55, 561–600 (1971). 17.Cronkite, E.P. Acute leukemia: is there a relationship between cell growth kinetics and response to chemotherapy? Proc. Natl. Cancer Conf. 6, 113–117 (1970). 18.Clarkson, B.D., Dowling, M.D., Gee, T.S., Cunningham, I.B. & Burchenal, J.H. Treatment of acute leukemia in adults. Cancer 36, 775–795 (1975). 19.Nowell, P.C. The clonal evolution of tumor cell populations. Science 194, 23–28 (1976). 20.Fearon, E.R. & Vogelstein, B. A genetic model for colorectal tumorigenesis. Cell 61, 759–767 (1990). 21.Uckun, F.M. et al. Leukemic cell growth in SCID mice as a predictor of relapse in high-risk B-lineage acute lymphoblastic leukemia. Blood 85, 873–878 (1995). 22.Lapidot, T. et al. A cell initiating human acute myeloid leukaemia after transplantation into SCID mice. Nature 367, 645–648 (1994). 23.Bonnet, D. & Dick, J.E. Human acute myeloid leukemia is organized as a hierarchy that originates from a primitive hematopoietic cell. Nat. Med. 3, 730–737 (1997). 24.Al-Hajj, M., Wicha, M.S., Benito-Hernandez, A., Morrison, S.J. & Clarke, M.F. Prospective identification of tumorigenic breast cancer cells. Proc. Natl. Acad. Sci. USA 100, 3983–3988 (2003). 25.Singh, S.K. et al. Identification of human brain tumour initiating cells. Nature 432, 396–401 (2004). 26.Dalerba, P. et al. Phenotypic characterization of human colorectal cancer stem cells. Proc. Natl. Acad. Sci. USA 104, 10158–10163 (2007). VOLUME 17 | NUMBER 3 | MARCH 2011 nature medicine © 2011 Nature America, Inc. All rights reserved. review 27.O′Brien, C.A., Pollett, A., Gallinger, S. & Dick, J.E. A human colon cancer cell capable of initiating tumour growth in immunodeficient mice. Nature 445, 106–110 (2007). 28.Ricci-Vitiani, L. et al. Identification and expansion of human colon-cancer–initiating cells. Nature 445, 111–115 (2007). 29.Ebben, J.D. et al. The cancer stem cell paradigm: a new understanding of tumor development and treatment. Expert Opin. Ther. Targets 14, 621–632 (2010). 30.Quintana, E. et al. Efficient tumour formation by single human melanoma cells. Nature 456, 593–598 (2008). 31.Shackleton, M., Quintana, E., Fearon, E.R. & Morrison, S.J. Heterogeneity in cancer: cancer stem cells versus clonal evolution. Cell 138, 822–829 (2009). 32.Quintana, E. et al. Phenotypic heterogeneity among tumorigenic melanoma cells from patients that is reversible and not hierarchically organized. Cancer Cell 18, 510–523 (2010). 33.Roesch, A. et al. A temporarily distinct subpopulation of slow-cycling melanoma cells is required for continuous tumor growth. Cell 141, 583–594 (2010). 34.Sharma, S.V. et al. A chromatin-mediated reversible drug-tolerant state in cancer cell subpopulations. Cell 141, 69–80 (2010). 35.Ill, C.R., Brehm, T., Lydersen, B.K., Hernandez, R. & Burnett, K.G. Species specificity of iron delivery in hybridomas. In Vitro Cell. Dev. Biol. 24, 413–419 (1988). 36.Feuring-Buske, M. et al. Improved engraftment of human acute myeloid leukemia progenitor cells in β2-microglobulin–deficient NOD/SCID mice and in NOD/SCID mice transgenic for human growth factors. Leukemia 17, 760–763 (2003). 37.Karnoub, A.E. et al. Mesenchymal stem cells within tumour stroma promote breast cancer metastasis. Nature 449, 557–563 (2007). 38.Kennedy, J.A., Barabe, F., Poeppl, A.G., Wang, J.C. & Dick, J.E. Comment on “Tumor growth need not be driven by rare cancer stem cells”. Science 318, 1722 (2007). 39.Kelly, P.N., Dakic, A., Adams, J.M., Nutt, S.L. & Strasser, A. Tumor growth need not be driven by rare cancer stem cells. Science 317, 337 (2007). 40.Krivtsov, A.V. et al. Transformation from committed progenitor to leukaemia stem cell initiated by MLL-AF9. Nature 442, 818–822 (2006). 41.Yilmaz, O.H. et al. Pten dependence distinguishes haematopoietic stem cells from leukaemia-initiating cells. Nature 441, 475–482 (2006). 42.Deshpande, A.J. et al. Acute myeloid leukemia is propagated by a leukemic stem cell with lymphoid characteristics in a mouse model of CALM/AF10-positive leukemia. Cancer Cell 10, 363–374 (2006). 43.Cho, R.W. et al. Isolation and molecular characterization of cancer stem cells in MMTV-Wnt-1 murine breast tumors. Stem Cells 26, 364–371 (2008). 44.Vaillant, F. et al. The mammary progenitor marker CD61/β3 integrin identifies cancer stem cells in mouse models of mammary tumorigenesis. Cancer Res. 68, 7711–7717 (2008). 45.Zhang, M. et al. Identification of tumor-initiating cells in a p53-null mouse model of breast cancer. Cancer Res. 68, 4674–4682 (2008). 46.Malanchi, I. et al. Cutaneous cancer stem cell maintenance is dependent on β-catenin signalling. Nature 452, 650–653 (2008). 47.Williams, R.T., den Besten, W. & Sherr, C.J. Cytokine-dependent imatinib resistance in mouse BCR-ABL+, Arf-null lymphoblastic leukemia. Genes Dev. 21, 2283–2287 (2007). 48.Blanpain, C., Horsley, V. & Fuchs, E. Epithelial stem cells: turning over new leaves. Cell 128, 445–458 (2007). 49.Bonfanti, P. et al. Microenvironmental reprogramming of thymic epithelial cells to skin multipotent stem cells. Nature 466, 978–982 (2010). 50.Shmelkov, S.V. et al. CD133 expression is not restricted to stem cells, and both CD133+ and CD133− metastatic colon cancer cells initiate tumors. J. Clin. Invest. 118, 2111–2120 (2008). 51.Bao, S. et al. Glioma stem cells promote radioresistance by preferential activation of the DNA damage response. Nature 444, 756–760 (2006). 52.Joo, K.M. et al. Clinical and biological implications of CD133-positive and CD133negative cells in glioblastomas. Lab. Invest. 88, 808–815 (2008). 53.Ogden, A.T. et al. Identification of A2B5+CD133− tumor-initiating cells in adult human gliomas. Neurosurgery 62, 505–514 (2008). nature medicine VOLUME 17 | NUMBER 3 | MARCH 2011 54.Wang, J. et al. CD133 negative glioma cells form tumors in nude rats and give rise to CD133 positive cells. Int. J. Cancer 122, 761–768 (2008). 55.Chen, R. et al. A hierarchy of self-renewing tumor-initiating cell types in glioblastoma. Cancer Cell 17, 362–375 (2010). 56.Boiko, A.D. et al. Human melanoma-initiating cells express neural crest nerve growth factor receptor CD271. Nature 466, 133–137 (2010). 57.Schatton, T. et al. Identification of cells initiating human melanomas. Nature 451, 345–349 (2008). 58.Fuchs, E. The tortoise and the hair: slow-cycling cells in the stem cell race. Cell 137, 811–819 (2009). 59.Essers, M.A. & Trumpp, A. Targeting leukemic stem cells by breaking their dormancy. Mol. Oncol. 4, 443–450 (2010). 60.Pece, S. et al. Biological and molecular heterogeneity of breast cancers correlates with their cancer stem cell content. Cell 140, 62–73 (2010). 61.Zhou, B.B. et al. Tumour-initiating cells: challenges and opportunities for anticancer drug discovery. Nat. Rev. Drug Discov. 8, 806–823 (2009). 62.Li, X. et al. Intrinsic resistance of tumorigenic breast cancer cells to chemotherapy. J. Natl. Cancer Inst. 100, 672–679 (2008). 63.Diehn, M. et al. Association of reactive oxygen species levels and radioresistance in cancer stem cells. Nature 458, 780–783 (2009). 64.O’Hare, T., Corbin, A.S. & Druker, B.J. Targeted CML therapy: controlling drug resistance, seeking cure. Curr. Opin. Genet. Dev. 16, 92–99 (2006). 65.Oravecz-Wilson, K.I. et al. Persistence of leukemia-initiating cells in a conditional knockin model of an imatinib-responsive myeloproliferative disorder. Cancer Cell 16, 137–148 (2009). 66.Masters, J.R. & Koberle, B. Curing metastatic cancer: lessons from testicular germcell tumours. Nat. Rev. Cancer 3, 517–525 (2003). 67.Sikic, B.I. Natural and acquired resistance to cancer therapies. in The Molecular Basis of Cancer (eds. J. Mendelsohn, P.M. Howley, M.A. Israel, J.W. Gray and C.B. Thompson) 583–592 (Saunders Elsevier, Philadelphia, 2008). 68.Chiu, P.P., Jiang, H. & Dick, J.E. Leukemia-initiating cells in human T-lymphoblastic leukemia exhibit glucocorticoid resistance. Blood 116, 5268–5279 (2010). 69.Hermann, P.C. et al. Distinct populations of cancer stem cells determine tumor growth and metastatic activity in human pancreatic cancer. Cell Stem Cell 1, 313–323 (2007). 70.Balic, M. et al. Most early disseminated cancer cells detected in bone marrow of breast cancer patients have a putative breast cancer stem cell phenotype. Clin. Cancer Res. 12, 5615–5621 (2006). 71.Saito, Y. et al. Induction of cell cycle entry eliminates human leukemia stem cells in a mouse model of AML. Nat. Biotechnol. 28, 275–280 (2010). 72.Goldman, J.M. et al. Chronic myeloproliferative diseases with and without the Ph chromosome: some unresolved issues. Leukemia 23, 1708–1715 (2009). 73.Charames, G.S. & Bapat, B. Genomic instability and cancer. Curr. Mol. Med. 3, 589–596 (2003). 74.Vogelstein, B. & Kinzler, K.W. Cancer genes and the pathways they control. Nat. Med. 10, 789–799 (2004). 75.Shah, N.P. et al. Sequential ABL kinase inhibitor therapy selects for compound drug-resistant BCR-ABL mutations with altered oncogenic potency. J. Clin. Invest. 117, 2562–2569 (2007). 76.Calabretta, B. & Perrotti, D. The biology of CML blast crisis. Blood 103, 4010–4022 (2004). 77.Kristensen, V. & Borresen-Dale, A.L. Mutations for the people. EMBO Mol Med 2, 143–145 (2010). 78.Mardis, E.R. & Wilson, R.K. Cancer genome sequencing: a review. Hum. Mol. Genet. 18, R163–R168 (2009). 79.Shah, S.P. et al. Mutational evolution in a lobular breast tumour profiled at single nucleotide resolution. Nature 461, 809–813 (2009). 80.Ding, L. et al. Genome remodelling in a basal-like breast cancer metastasis and xenograft. Nature 464, 999–1005 (2010). 81.Campbell, P.J. et al. The patterns and dynamics of genomic instability in metastatic pancreatic cancer. Nature 467, 1109–1113 (2010). 82.Yachida, S. et al. Distant metastasis occurs late during the genetic evolution of pancreatic cancer. Nature 467, 1114–1117 (2010). 319