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Molecular Pathways

Cancer Stem Cells: Targets and Potential Biomarkers for Radiotherapy

Mechthild Krause, Ala Yaromina, Wolfgang Eicheler, Ulrike Koch and Michael Baumann
Mechthild Krause
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Ala Yaromina
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Wolfgang Eicheler
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Ulrike Koch
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Michael Baumann
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DOI: 10.1158/1078-0432.CCR-10-2639 Published December 2011
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Abstract

Cancer stem cells (CSC) have the unique ability to cause tumor recurrences if they survive treatment. Radiotherapy has curative potential because it has been functionally shown to sufficiently inactivate CSCs. It is well known that CSCs mediate the radiation resistance of tumors by tumor-specific factors, such as the pretreatment number of CSCs and repopulation or reoxygenation during fractionated radiotherapy. CSCs appear to have a higher intrinsic radioresistance than non-CSCs, a factor that is especially important for the development of predictive biomarkers that, if this finding holds true, can only be successfully established if they are stem-cell specific. Recent clinical data imply that stem-cell–related surface markers may be directly used as predictors for the radiocurability of tumors with comparable risk factors, such as histology and size. Future studies need to address the question of which additional markers need to be considered if more heterogeneous patient collectives are investigated. With the goal of developing a direct targeting approach, investigators are currently evaluating several drugs that are intended to target CSCs by inhibiting stem-cell–related signal transduction pathways. We need to preclinically test such drugs as combined-modality therapies in combination with radiotherapy to evaluate their curative potential, and optimize them by increasing their specificity to CSCs over normal tissue stem cells to avoid increased radiation toxicity. Clin Cancer Res; 17(23); 7224–9. ©2011 AACR.

Background

Radiotherapy has a curative potential in many solid human tumors. Locally advanced, unresectable head and neck carcinoma or non–small cell lung cancer can be cured by radiotherapy alone or in combination with chemotherapy in 10% to 50% of patients (1, 2). In early tumor stages of some cancers [e.g., anal cancer (3) and early non–small cell lung cancer (4)], primary radiotherapy alone or in combination with chemotherapy can achieve local control rates similar to those obtained with surgery. The current stem cell hypothesis implies that permanent local tumor control or recurrence after treatment depends on the inactivation or survival of CSCs after treatment (5, 6).

Currently, a CSC is defined as a cell that has the ability to self-renew and to differentiate into all subpopulations of cells that compose a tumor (7). In the case of clinical radiotherapy, this definition translates into the fact that all CSCs need to be inactivated before a permanent tumor cure can be achieved and that a CSC that survives after treatment will cause a tumor recurrence (5). Thus, an evaluation of permanent local tumor control functionally measures the survival of CSCs (5). With the use of modern markers and cell-sorting techniques, it is now possible to sort tumor cells into subpopulations that are enriched for CSCs and those that contain fewer CSCs. The “stemness” of the sorted cells can be functionally validated by quantitative transplantation assays and evaluation of the TD50 (i.e., the cell number that is necessary to reach a tumor growth in 50% of the host animals, referred to as the take dose). The TD50 is known to correlate linearly with the TCD50 (i.e., the irradiation dose that is necessary to locally control 50% of the tumors) after single-dose irradiation under homogeneous hypoxia (6). The biologic assay of applying a single dose of irradiation under homogeneous hypoxia (i.e., clamped blood flow) is used to exclude the impact of different oxygenation levels and factors of resistance specific to fractionated irradiation (see below) that can additionally affect local tumor control. The observation of a correlation of tumorigenicity with radiation tumor control probability highlights the importance of the pretreatment number of CSCs for local tumor control after radiotherapy. The use of both traditional functional radiobiologic assays (e.g., TCD50) and modern marker-based assays (e.g., sorting of cells expressing markers that are enriched in CSC) allows us to investigate the functional effects as well as the biologic behavior of CSCs. With the increasing importance of combined radiotherapy and systemic agents (e.g., molecular-targeted agents), CSC-relevant endpoints are crucial for preclinical evaluations. Especially in modern combined-treatment approaches, in many cases, a dissociation of the endpoints can occur, and sole evaluations of tumor regression or tumor growth delay in preclinical radiation studies can largely overestimate the efficacy of new treatments (8). A combined treatment that inactivates a high proportion of the non-CSC mass of tumor cells can lead to major effects on tumor regression and tumor growth delay without improving local tumor control, whereas combined treatments that increase the inactivation of CSCs can improve local tumor control (9).

Radioresistance of Tumors Is Mediated by CSCs

CSCs mediate the radioresistance of tumors by a number of mechanisms, such as their intrinsic cellular radioresistance and absolute number before treatment. Another group of mechanisms is specific for resistance against fractionated irradiation (i.e., the clinically relevant application of radiotherapy in small daily doses). Examples of the latter mechanisms include the capacity to recover and repair sublethal damage between irradiation fractions, the repopulation capacity between fractions, tumor hypoxia, and likely also other microenvironmental factors [e.g., lactate (ref. 5; Fig. 1)].

There is increasing evidence that CSCs have a higher intrinsic radioresistance than non-CSC tumor cells, a fact that is especially important in light of the development of predictive biomarkers that usually measure all tumor cells, that is, mainly the bulk of non-CSCs. In extensive experiments, Bao and colleagues (10) showed an increase in the fraction of cells positive for the putative CSC marker CD133 (CD133+ cells) by ex vivo sorting after in vivo irradiation of subcutaneous or orthotopic glioma xenografts. The stemness of the CD133+ cells was confirmed by transplantation assays. The increase was more pronounced after fractionated irradiation (5 × 3 Gy) compared with single-dose irradiation (1 × 9 Gy), which may be explained by repopulation (see below) or repair of sublethal damage. The authors found a preferential activation of DNA-damage checkpoints in marker-positive versus marker-negative cells. Another mechanism of a higher radioresistance of CSCs versus non-CSCs may be an increased potential of defense against reactive oxygen species (ROS) in CSCs. For classical photon radiotherapy, ROS is a critical mediator of radiation damage in tumor or normal tissue cells, as major parts of the radiation-induced DNA damage are indirect effects of ROS accumulation. Recent data suggest that genes involved in ROS scavenging are highly overexpressed in the human breast cancer CSC-enriched subpopulation of CD44+ CD24−/low Lin− cells compared with nontumorigenic cells and that the biochemical levels of ROS are lower in normal mammary stem cells and CD44+ CD24−/low Lin− breast cancer cells compared with nonmammary repopulating normal breast cells or nontumorigenic cancer cells. CD44+ CD24−/low Lin− cells showed a higher clonogenic cell survival and less DNA damage after in vitro irradiation compared with their marker-negative counterpart, and pharmacologic modulation of the ROS levels could outweigh this effect (11). These data reveal an interesting mechanism of CSC-dependent radioresistance that warrants further in vivo evaluation.

Besides these potential differences in intrinsic radioresistance between CSCs and non-CSCs, CSCs can affect local tumor control after radiotherapy in patients by other important (and now very well investigated) mechanisms. In the 1980s, Hill and Milas (6) confirmed the impact of the absolute number of CSCs on local tumor control after radiotherapy by showing a significant correlation between transplantability (TD50) and tumor cure rate (TCD50) after single-dose irradiation under homogeneous hypoxia in different xenograft models. These data are in line with the observation made in preclinical and clinical studies that pretreatment tumor volume inversely correlates with curability by irradiation (12, 13). In other experiments, tumor curability after single-dose irradiation did not correlate with single factors, but did correlate with a combination of transplantability and intrinsic radiosensitivity in vitro (14). Consistent with the single-dose data, even radiocurability after clinically relevant fractionated irradiation, which is expected to be influenced by several other factors, strongly correlates with the number and intrinsic radiosensitivity of CSCs, with the latter being indirectly measured by TCD50 after single-dose irradiation under homogeneous hypoxia (9, 15). In these experiments, the plating efficiency in vitro also correlated with local tumor control after fractionated irradiation in vivo (unpublished data). This is despite the well-known fact that clonogenicity (i.e., the colony-forming ability of cells in vitro) does not essentially translate into stemness in vivo (9, 16). These results are in line with data regarding the putative CSC marker CD44, which has been shown to be functionally relevant for the tumorigenicity of colorectal cancer cells (17). CD44 expression was shown to correlate with in vitro plating efficiency in laryngeal cancer cell lines and in patients with early laryngeal cancer with local tumor control after radiotherapy (18). Of interest, in this dataset, no correlation was observed between the in vitro intrinsic radiosensitivity of the cell lines and CD44 expression, suggesting a possibly higher impact of the number of CSCs or clonogens compared with their intrinsic radioresistance for local tumor control. This notion is supported by the fact that the known major differences in in vivo radiosensitivity between tumors of different histologies can only be explained in part by their different intrinsic radiosensitivities (19–21), whereas other factors, such as tumor micromilieu parameters, substantially affect their radiocurability in vivo.

Another well-investigated mechanism is the increase in the number of CSCs between irradiation fractions by tumor cell repopulation. This was shown in extensive experiments that revealed a steeper increase of the TCD50 with time after tumor cell inoculation or a priming dose in preirradiated tumors compared with previously untreated tumors, whereas a comparison of the TCD50 for tumors of similar size yielded no difference. The steep increase of the TCD50 in the preirradiated tumors with a dose loss of 2.1 Gy per day versus 1.3 Gy per day in control tumors is explained by an induction of accelerated repopulation of tumorigenic cells by irradiation (22). Repopulation of CSCs affects the number of CSCs and is now known to be one of the most important determinants of local tumor control after fractionated irradiation (23–26). By applying modern real-time imaging techniques and tracking CSCs by using the absence of 26S proteasome activity as a marker, Vlashi and colleagues (27) were able to show an increase in the percentage of CSCs 72 hours after irradiation with a dose of 5 × 3 Gy in a human glioma model. At the same time, the percentage of proliferating cells measured by Ki-67 staining increased to a higher extent in marker-positive than in marker-negative cells, which can be interpreted as an effect of CSC repopulation.

An important factor that may lead to differences in the in vitro and in vivo radioresistance of clonogenic tumor cells or CSCs is the tumor micromilieu. Hypoxia increases the radioresistance of tumor cells, including stem cells, thereby reducing the tumor control probability (28, 29). Furthermore, independently of hypoxia, the tumor lactate content (30) inversely correlates with local tumor control, suggesting a higher radioresistance of CSCs in high-lactate tumors (31, 32). Tumor hypoxia was shown to increase the fraction of cells expressing the putative stem-cell marker CD133 in a medulloblastoma cell line in vitro (33, 34) and to promote maintenance of the embryonic stem cell pluripotent potential (35). Hypoxia-inducible factor (HIF)-2α and HIF-regulated genes appear to be preferentially expressed in glioma stem cells compared with nonstem tumor cells and normal neural stem cells (36). Extended exposure to hypoxia may, via HIF-2α, even promote a phenotypic shift of non-CSCs to stem-like cells with self-renewal capabilities (37).

Overall, CSCs mediate the radioresistance of tumors by tumor-specific factors, such as the CSC number, repopulation, and/or reoxygenation. CSCs appear to have a higher intrinsic radioresistance than non-CSCs, a factor that is especially important for the development of predictive biomarkers that, if this finding holds true, can be successfully established only if they are stem-cell specific.

Figure 1.
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Figure 1.

Radiotherapy has a curative potential in solid human tumors. CSCs influence whether a tumor has a good chance to be locally controlled permanently or has a high risk to recur after treatment. CSC-related parameters, including their total number before treatment, micromilieu conditions, repopulation capacity during fractionated radiotherapy, and intrinsic radioresistance of the CSCs, provide a good basis for the development of biomarkers that are predictive for local tumor control. Such markers can also be targets for combined treatment approaches in radiation oncology, with the aim of improving the probability of tumor control.

Clinical–Translational Advances

CSCs determine local tumor control after radiotherapy by various mechanisms. Today, modern marker-based techniques are allowing us to visualize cell populations that are enriched for CSCs. This approach provides a rational basis for the development of biomarkers that are predictive for local tumor control after radiotherapy and for CSC-targeting strategies that in combination with radiotherapy may lead to considerable advances in tumor curability in the clinical setting.

Recently, for the first time, the applicability of a CSC-related surface marker as a biomarker bearing predictive potential for local tumor control after radiotherapy was shown in patients with laryngeal cancer (18, 38). Consistent with preclinical experiments showing the importance of the intertumoral heterogeneity of CSC density for local tumor control after radiotherapy, a comparison of different gene signatures revealed a significant correlation with local tumor control only for the CD44 mRNA and CD44 immunohistochemical score. This hypothesis-driven approach was confirmed by a data-driven approach that also defined CD44 as the most significant marker for discriminating between cures and recurrences. In laryngeal cancer cell lines, CD44 expression correlated with in vitro plating efficiency but not with the intrinsic radiosensitivity in vitro (18). Although clonogenic cells in vitro do not necessarily reflect CSCs in vivo (5, 9, 16), these data support the notion that CD44 expression correlates with the number but not the intrinsic radiosensitivity of CSCs, and that the number or density of CSCs is an important parameter for predicting tumor cure by radiation (5, 6, 9, 15). Overall, the data support CD44 as a promising candidate biomarker that needs to be further validated in terms of its predictive potential for individualized patient treatments (38). However, for tumors other than early laryngeal cancer, the implementation of such a biomarker will be more difficult due to the greater heterogeneity in the size and micromilieu of such tumors, which may necessitate a combination of biomarkers for CSCs with information about the tumor micromilieu and size (38).

Another aspect to consider is the existence of splicing variants of CD44 (CD44v). The multiple isoforms of CD44 are involved in cellular functions such as motility and proliferation (39–42). Although the value of CD44v as CSC-dependent cell surface markers has not sufficiently been investigated so far, the targeting of such variants appears to be a promising strategy for combined radio-oncologic treatment approaches. As shown in preclinical in vivo experiments, anti-CD44v6–directed antibodies that were conjugated with a cytotoxic chemotherapeutic agent significantly improved local tumor control in combination with fractionated irradiation in a head and neck squamous cell carcinoma model (43). The next step after these results is to validate the stemness of CD44v6-positive tumor cells. However, the functional data suggest an effective inactivation of CSCs, raising a question as to whether this is specific for CSCs or also applies to non-CSC tumor cells. This distinction is relevant in terms of biomarker development, rather than the potential clinical advantage for tumor cure. Another issue is the expression of the target in epithelial normal tissues, which limits the clinical applicability of the approach.

Currently, a number of drugs and genetic approaches are being developed that specifically target signaling pathways that are required for stem cell self-renewal and normal cell development, such as Hedgehog, Notch, and Wnt (44, 45). For example, targeting of Delta-like ligand 4 (DLL4), an important component of the Notch signaling pathway, has been shown to reduce the stem-cell content of colorectal and breast cancer models (46). Most of these drugs are in preclinical testing, and some have been introduced in early clinical trials (47–49). A major difficulty that must be overcome for a successful introduction into the clinics will be the specificity of these drugs. Targeting pathways that are not specific for CSCs but are also relevant in normal tissue stem cells may lead to considerable side effects. This is especially relevant when such drugs are combined with radiotherapy, because acute radiation toxicity is known to be caused by a radiogenic depletion of normal tissue stem cells (50, 51). Attempts to target the CSC niche present even more difficulties because such niches are likely dependent on tumor and host factors and can hardly be defined anatomically (52). Current data suggest that hypoxia may be critical for maintaining a CSC niche (refs. 53 and 54; see above). Recently, inhibition of self-renewal and tumorigenicity was shown after targeting of HIFs via knockdown in glioma (36). The diversely expressed HIF-1α and the more selectively expressed HIF-2α are both factors that are stabilized by hypoxia, dimerize with the HIF-β subunit, and then bind to hypoxia-regulated genes, thereby modulating processes such as angiogenesis, cell survival, and motility. As outlined above, it has been known for a long time that the extent of hypoxia correlates inversely with radiocurability (29, 55, 56). Furthermore, clinical trials have shown that hypoxic cell sensitizers or modulation of hypoxia can improve local tumor control in head and neck cancer (57). Today, tumor hypoxia can be visualized and quantified with the use of modern MRI- (58) or positron emission tomography–based imaging techniques, and this information can be implemented into radiotherapy treatment planning (59). Established approaches that involve targeting of hypoxia by hypoxic cell sensitizers (57), methods to modulate hypoxia [currently in clinical trials (60)], and strategies that integrate information about hypoxia in dose-painting approaches [i.e., a local integrated boost to hypoxic regions (61)] can help to improve local tumor control, although they are not CSC-specific. At least in glioma versus normal neural stem cells, the hypoxia-dependent factor HIF-2α seems to be specific to CSCs (36, 37). Inhibition of such specific targets may be a promising strategy to further enhance the potential of hypoxia-targeted combined treatments.

The first step toward a potential clinical application of stem-cell–related surface markers as predictors for tumor radiocurability has been made. Several drugs that aim to target CSCs via inhibition of stem-cell–related signal transduction pathways are currently being evaluated. We need to preclinically test these drugs in combination with radiotherapy to evaluate their curative potential and optimize them by increasing their specificity to CSCs over normal tissue stem cells to avoid increased acute radiation toxicity.

Disclosure of Potential Conflicts of Interest

No potential conflicts of interest were disclosed.

Grant Support

Deutsche Forschungsgemeinschaft (Ba1433) and the German Federal Ministry of Education and Research (03ZIK041).

  • Received August 15, 2011.
  • Revision received September 4, 2011.
  • Accepted September 22, 2011.
  • ©2011 American Association for Cancer Research.

References

  1. 1.↵
    1. Baumann M,
    2. Herrmann T,
    3. Koch R,
    4. Matthiessen W,
    5. Appold S,
    6. Wahlers B,
    7. et al.
    Final results of the randomized phase III CHARTWEL-trial (ARO 97-1) comparing hyperfractionated-accelerated versus conventionally fractionated radiotherapy in non-small cell lung cancer (NSCLC). Radiother Oncol 2011;100:76–85.
    OpenUrlCrossRefPubMed
  2. 2.↵
    1. Budach V,
    2. Stuschke M,
    3. Budach W,
    4. Baumann M,
    5. Geismar D,
    6. Grabenbauer G,
    7. et al.
    Hyperfractionated accelerated chemoradiation with concurrent fluorouracil-mitomycin is more effective than dose-escalated hyperfractionated accelerated radiation therapy alone in locally advanced head and neck cancer: final results of the radiotherapy cooperative clinical trials group of the German Cancer Society 95-06 Prospective Randomized Trial. J Clin Oncol 2005;23:1125–35.
    OpenUrlAbstract/FREE Full Text
  3. 3.↵
    1. Bartelink H,
    2. Roelofsen F,
    3. Eschwege F,
    4. Rougier P,
    5. Bosset JF,
    6. Gonzalez DG,
    7. et al.
    Concomitant radiotherapy and chemotherapy is superior to radiotherapy alone in the treatment of locally advanced anal cancer: results of a phase III randomized trial of the European Organization for Research and Treatment of Cancer Radiotherapy and Gastrointestinal Cooperative Groups. J Clin Oncol 1997;15:2040–9.
    OpenUrlAbstract/FREE Full Text
  4. 4.↵
    1. Guckenberger M,
    2. Wulf J,
    3. Mueller G,
    4. Krieger T,
    5. Baier K,
    6. Gabor M,
    7. et al.
    Dose-response relationship for image-guided stereotactic body radiotherapy of pulmonary tumors: relevance of 4D dose calculation. Int J Radiat Oncol Biol Phys 2009;74:47–54.
    OpenUrlCrossRefPubMed
  5. 5.↵
    1. Baumann M,
    2. Krause M,
    3. Hill R
    . Exploring the role of cancer stem cells in radioresistance. Nat Rev Cancer 2008;8:545–54.
    OpenUrlCrossRefPubMed
  6. 6.↵
    1. Hill RP,
    2. Milas L
    . The proportion of stem cells in murine tumors. Int J Radiat Oncol Biol Phys 1989;16:513–8.
    OpenUrlPubMed
  7. 7.↵
    1. Clarke MF,
    2. Dick JE,
    3. Dirks PB,
    4. Eaves CJ,
    5. Jamieson CH,
    6. Jones DL,
    7. et al.
    Cancer stem cells—perspectives on current status and future directions: AACR Workshop on Cancer Stem Cells. Cancer Res 2006;66:9339–44.
    OpenUrlFREE Full Text
  8. 8.↵
    1. Krause M,
    2. Zips D,
    3. Thames HD,
    4. Kummermehr J,
    5. Baumann M
    . Preclinical evaluation of molecular-targeted anticancer agents for radiotherapy. Radiother Oncol 2006;80:112–22.
    OpenUrlCrossRefPubMed
  9. 9.↵
    1. Baumann M,
    2. Krause M,
    3. Thames H,
    4. Trott K,
    5. Zips D
    . Cancer stem cells and radiotherapy. Int J Radiat Biol 2009;85:391–402.
    OpenUrlCrossRefPubMed
  10. 10.↵
    1. Bao S,
    2. Wu Q,
    3. McLendon RE,
    4. Hao Y,
    5. Shi Q,
    6. Hjelmeland AB,
    7. et al.
    Glioma stem cells promote radioresistance by preferential activation of the DNA damage response. Nature 2006;444:756–60.
    OpenUrlCrossRefPubMed
  11. 11.↵
    1. Diehn M,
    2. Cho RW,
    3. Lobo NA,
    4. Kalisky T,
    5. Dorie MJ,
    6. Kulp AN,
    7. et al.
    Association of reactive oxygen species levels and radioresistance in cancer stem cells. Nature 2009;458:780–3.
    OpenUrlCrossRefPubMed
  12. 12.↵
    1. Baumann M,
    2. Dubois W,
    3. Suit HD
    . Response of human squamous cell carcinoma xenografts of different sizes to irradiation: relationship of clonogenic cells, cellular radiation sensitivity in vivo, and tumor rescuing units. Radiat Res 1990;123:325–30.
    OpenUrlPubMed
  13. 13.↵
    1. Dubben HH,
    2. Thames HD,
    3. Beck-Bornholdt HP
    . Tumor volume: a basic and specific response predictor in radiotherapy. [see comments] Radiother Oncol 1998;47:167–74.
    OpenUrl
  14. 14.↵
    1. Gerweck LE,
    2. Zaidi ST,
    3. Zietman A
    . Multivariate determinants of radiocurability. I: Prediction of single fraction tumor control doses. Int J Radiat Oncol Biol Phys 1994;29:57–66.
    OpenUrlPubMed
  15. 15.↵
    1. Yaromina A,
    2. Krause M,
    3. Thames H,
    4. Rosner A,
    5. Krause M,
    6. Hessel F,
    7. et al.
    Pre-treatment number of clonogenic cells and their radiosensitivity are major determinants of local tumour control after fractionated irradiation. Radiother Oncol 2007;83:304–10.
    OpenUrlCrossRefPubMed
  16. 16.↵
    1. Baumann M,
    2. Krause M,
    3. Hill R
    . Clonogens and cancer stem cells. Nat Rev Cancer 2008;8:990.
    OpenUrlPubMed
  17. 17.↵
    1. Du L,
    2. Wang H,
    3. He L,
    4. Zhang J,
    5. Ni B,
    6. Wang X,
    7. et al.
    CD44 is of functional importance for colorectal cancer stem cells. Clin Cancer Res 2008;14:6751–60.
    OpenUrlAbstract/FREE Full Text
  18. 18.↵
    1. de Jong MC,
    2. Pramana J,
    3. van der Wal JE,
    4. Lacko M,
    5. Peutz-Kootstra CJ,
    6. de Jong JM,
    7. et al.
    CD44 expression predicts local recurrence after radiotherapy in larynx cancer. Clin Cancer Res 2010;16:5329–38.
    OpenUrlAbstract/FREE Full Text
  19. 19.↵
    1. Warenius HM,
    2. Britten RA
    . In vitro studies of intrinsic cellular radiosensitivity following 4 MeV photons or 62.5 MeV (p—>Be+) neutrons. Potential implications for high LET therapy. Acta Oncol 1994;33:241–9.
    OpenUrlCrossRefPubMed
  20. 20.↵
    1. Malaise EP,
    2. Fertil B,
    3. Chavaudra N,
    4. Guichard M
    . Distribution of radiation sensitivities for human tumor cells of specific histological types: comparison of in vitro to in vivo data. Int J Radiat Oncol Biol Phys 1986;12:617–24.
    OpenUrlPubMed
  21. 21.↵
    1. Peters LJ
    . The ESTRO Regaud Lecture. Inherent radiosensitivity of tumor and normal tissue cells as a predictor of human tumor response. Radiother Oncol 1990;17:177–90.
    OpenUrlCrossRefPubMed
  22. 22.↵
    1. Milas L,
    2. Yamada S,
    3. Hunter N,
    4. Guttenberger R,
    5. Thames HD
    . Changes in TCD50 as a measure of clonogen doubling time in irradiated and unirradiated tumors. Int J Radiat Oncol Biol Phys 1991;21:1195–202.
    OpenUrlPubMed
  23. 23.↵
    1. Baumann M,
    2. Dörr W,
    3. Petersen C,
    4. Krause M
    . Repopulation during fractionated radiotherapy: much has been learned, even more is open. Int J Radiat Biol 2003;79:465–7.
    OpenUrlCrossRefPubMed
  24. 24.↵
    1. Petersen C,
    2. Zips D,
    3. Krause M,
    4. Schöne K,
    5. Eicheler W,
    6. Hoinkis C,
    7. et al.
    Repopulation of FaDu human squamous cell carcinoma during fractionated radiotherapy correlates with reoxygenation. Int J Radiat Oncol Biol Phys 2001;51:483–93.
    OpenUrlCrossRefPubMed
  25. 25.↵
    1. Hessel F,
    2. Krause M,
    3. Helm A,
    4. Petersen C,
    5. Grenman R,
    6. Thames HD,
    7. et al.
    Differentiation status of human squamous cell carcinoma xenografts does not appear to correlate with the repopulation capacity of clonogenic tumour cells during fractionated irradiation. Int J Radiat Biol 2004;80:719–27.
    OpenUrlCrossRefPubMed
  26. 26.↵
    1. Hessel F,
    2. Krause M,
    3. Petersen C,
    4. Hörcsöki M,
    5. Klinger T,
    6. Zips D,
    7. et al.
    Repopulation of moderately well-differentiated and keratinizing GL human squamous cell carcinomas growing in nude mice. Int J Radiat Oncol Biol Phys 2004;58:510–8.
    OpenUrlCrossRefPubMed
  27. 27.↵
    1. Vlashi E,
    2. Kim K,
    3. Lagadec C,
    4. Donna LD,
    5. McDonald JT,
    6. Eghbali M,
    7. et al.
    In vivo imaging, tracking, and targeting of cancer stem cells. J Natl Cancer Inst 2009;101:350–9.
    OpenUrlAbstract/FREE Full Text
  28. 28.↵
    1. Yaromina A,
    2. Zips D,
    3. Thames HD,
    4. Eicheler W,
    5. Krause M,
    6. Rosner A,
    7. et al.
    Pimonidazole labelling and response to fractionated irradiation of five human squamous cell carcinoma (hSCC) lines in nude mice: the need for a multivariate approach in biomarker studies. Radiother Oncol 2006;81:122–9.
    OpenUrlCrossRefPubMed
  29. 29.↵
    1. Yaromina A,
    2. Thames H,
    3. Zhou X,
    4. Hering S,
    5. Eicheler W,
    6. Dörfler A,
    7. et al.
    Radiobiological hypoxia, histological parameters of tumour microenvironment and local tumour control after fractionated irradiation. Radiother Oncol 2010;96:116–22.
    OpenUrlCrossRefPubMed
  30. 30.↵
    1. Yaromina A,
    2. Quennet V,
    3. Zips D,
    4. Meyer S,
    5. Shakirin G,
    6. Walenta S,
    7. et al.
    Co-localisation of hypoxia and perfusion markers with parameters of glucose metabolism in human squamous cell carcinoma (hSCC) xenografts. Int J Radiat Biol 2009;85:972–80.
    OpenUrlCrossRefPubMed
  31. 31.↵
    1. Quennet V,
    2. Yaromina A,
    3. Zips D,
    4. Rosner A,
    5. Walenta S,
    6. Baumann M,
    7. et al.
    Tumor lactate content predicts for response to fractionated irradiation of human squamous cell carcinomas in nude mice. Radiother Oncol 2006;81:130–5.
    OpenUrlCrossRefPubMed
  32. 32.↵
    1. Sattler UG,
    2. Meyer SS,
    3. Quennet V,
    4. Hoerner C,
    5. Knoerzer H,
    6. Fabian C,
    7. et al.
    Glycolytic metabolism and tumour response to fractionated irradiation. Radiother Oncol 2010;94:102–9.
    OpenUrlCrossRefPubMed
  33. 33.↵
    1. Blazek ER,
    2. Foutch JL,
    3. Maki G
    . Daoy medulloblastoma cells that express CD133 are radioresistant relative to CD133− cells, and the CD133+ sector is enlarged by hypoxia. Int J Radiat Oncol Biol Phys 2007;67:1–5.
    OpenUrlPubMed
  34. 34.↵
    1. Platet N,
    2. Liu SY,
    3. Atifi ME,
    4. Oliver L,
    5. Vallette FM,
    6. Berger F,
    7. et al.
    Influence of oxygen tension on CD133 phenotype in human glioma cell cultures. Cancer Lett 2007;258:286–90.
    OpenUrlCrossRefPubMed
  35. 35.↵
    1. Ezashi T,
    2. Das P,
    3. Roberts RM
    . Low O2 tensions and the prevention of differentiation of hES cells. Proc Natl Acad Sci U S A 2005;102:4783–8.
    OpenUrlAbstract/FREE Full Text
  36. 36.↵
    1. Li Z,
    2. Bao S,
    3. Wu Q,
    4. Wang H,
    5. Eyler C,
    6. Sathornsumetee S,
    7. et al.
    Hypoxia-inducible factors regulate tumorigenic capacity of glioma stem cells. Cancer Cell 2009;15:501–13.
    OpenUrlCrossRefPubMed
  37. 37.↵
    1. Heddleston JM,
    2. Li Z,
    3. McLendon RE,
    4. Hjelmeland AB,
    5. Rich JN
    . The hypoxic microenvironment maintains glioblastoma stem cells and promotes reprogramming towards a cancer stem cell phenotype. Cell Cycle 2009;8:3274–84.
    OpenUrlPubMed
  38. 38.↵
    1. Baumann M,
    2. Krause M
    . CD44: a cancer stem cell-related biomarker with predictive potential for radiotherapy. Clin Cancer Res 2010;16:5091–3.
    OpenUrlAbstract/FREE Full Text
  39. 39.↵
    1. Ponta H,
    2. Sleeman J,
    3. Dall P,
    4. Moll J,
    5. Sherman L,
    6. Herrlich P
    . CD44 isoforms in metastatic cancer. Invasion Metastasis 1994-1995;14:82–6.
    OpenUrlPubMed
  40. 40.↵
    1. Ponta H,
    2. Sherman L,
    3. Herrlich PA
    . CD44: from adhesion molecules to signalling regulators. Nat Rev Mol Cell Biol 2003;4:33–45.
    OpenUrlCrossRefPubMed
  41. 41.↵
    1. Brown RL,
    2. Reinke LM,
    3. Damerow MS,
    4. Perez D,
    5. Chodosh LA,
    6. Yang J,
    7. et al.
    CD44 splice isoform switching in human and mouse epithelium is essential for epithelial-mesenchymal transition and breast cancer progression. J Clin Invest 2011;121:1064–74.
    OpenUrlCrossRefPubMed
  42. 42.↵
    1. Afify A,
    2. Pang L,
    3. Howell L
    . Diagnostic utility of CD44 standard, CD44v6, and CD44v3-10 expression in adenocarcinomas presenting in serous fluids. Appl Immunohistochem Mol Morphol 2007;15:446–50.
    OpenUrlCrossRefPubMed
  43. 43.
    1. Gurtner K,
    2. Hessel F,
    3. Eicheler W,
    4. Dörfler A,
    5. Zips D,
    6. Heider KH,
    7. et al.
    Combined treatment of the immunoconjugate bivatuzumab mertansine and fractionated irradiation improves local tumor control in vivo . Radiother Oncol. In Press.
  44. 44.↵
    1. Takebe N,
    2. Harris PJ,
    3. Warren RQ,
    4. Ivy SP
    . Targeting cancer stem cells by inhibiting Wnt, Notch, and Hedgehog pathways. Nat Rev Clin Oncol 2011;8:97–106.
    OpenUrlCrossRefPubMed
  45. 45.↵
    1. Shigdar S,
    2. Lin J,
    3. Yu Y,
    4. Pastuovic M,
    5. Wei M,
    6. Duan W
    . RNA aptamer against a cancer stem cell marker epithelial cell adhesion molecule. Cancer Sci 2011;102:991–8.
    OpenUrlCrossRefPubMed
  46. 46.↵
    1. Hoey T,
    2. Yen WC,
    3. Axelrod F,
    4. Basi J,
    5. Donigian L,
    6. Dylla S,
    7. et al.
    DLL4 blockade inhibits tumor growth and reduces tumor-initiating cell frequency. Cell Stem Cell 2009;5:168–77.
    OpenUrlCrossRefPubMed
  47. 47.↵
    1. Merchant AA,
    2. Matsui W
    . Targeting Hedgehog—a cancer stem cell pathway. Clin Cancer Res 2010;16:3130–40.
    OpenUrlAbstract/FREE Full Text
  48. 48.
    1. Takahashi-Yanaga F,
    2. Kahn M
    . Targeting Wnt signaling: can we safely eradicate cancer stem cells? Clin Cancer Res 2010;16:3153–62.
    OpenUrlAbstract/FREE Full Text
  49. 49.↵
    1. Pannuti A,
    2. Foreman K,
    3. Rizzo P,
    4. Osipo C,
    5. Golde T,
    6. Osborne B,
    7. et al.
    Targeting Notch to target cancer stem cells. Clin Cancer Res 2010;16:3141–52.
    OpenUrlAbstract/FREE Full Text
  50. 50.↵
    1. Stewart FA,
    2. Dörr W
    . Milestones in normal tissue radiation biology over the past 50 years: from clonogenic cell survival to cytokine networks and back to stem cell recovery. Int J Radiat Biol 2009;85:574–86.
    OpenUrlCrossRefPubMed
  51. 51.↵
    1. Dörr W
    . Three A's of repopulation during fractionated irradiation of squamous epithelia: asymmetry loss, acceleration of stem-cell divisions and abortive divisions. Int J Radiat Biol 1997;72:635–43.
    OpenUrlCrossRefPubMed
  52. 52.↵
    1. LaBarge MA
    . The difficulty of targeting cancer stem cell niches. Clin Cancer Res 2010;16:3121–9.
    OpenUrlAbstract/FREE Full Text
  53. 53.↵
    1. Gilbertson RJ,
    2. Rich JN
    . Making a tumour's bed: glioblastoma stem cells and the vascular niche. Nat Rev Cancer 2007;7:733–6.
    OpenUrlCrossRefPubMed
  54. 54.↵
    1. Keith B,
    2. Simon MC
    . Hypoxia-inducible factors, stem cells, and cancer. Cell 2007;129:465–72.
    OpenUrlCrossRefPubMed
  55. 55.↵
    1. Kallman RF,
    2. Dorie MJ
    . Tumor oxygenation and reoxygenation during radiation therapy: their importance in predicting tumor response. Int J Radiat Oncol Biol Phys 1986;12:681–5.
    OpenUrlCrossRefPubMed
  56. 56.↵
    1. Overgaard J,
    2. Eriksen JG,
    3. Nordsmark M,
    4. Alsner J,
    5. Horsman MR
    Danish Head and Neck Cancer Study Group. Plasma osteopontin, hypoxia, and response to the hypoxia sensitiser nimorazole in radiotherapy of head and neck cancer: results from the DAHANCA 5 randomised double-blind placebo-controlled trial. Lancet Oncol 2005;6:757–64.
    OpenUrlCrossRefPubMed
  57. 57.↵
    1. Overgaard J,
    2. Hansen HS,
    3. Overgaard M,
    4. Bastholt L,
    5. Berthelsen A,
    6. Specht L,
    7. et al.
    A randomized double-blind phase III study of nimorazole as a hypoxic radiosensitizer of primary radiotherapy in supraglottic larynx and pharynx carcinoma. Results of the Danish Head and Neck Cancer Study (DAHANCA) Protocol 5-85. Radiother Oncol 1998;46:135–46.
    OpenUrlCrossRefPubMed
  58. 58.↵
    1. Mörchel P,
    2. Melkus G,
    3. Yaromina A,
    4. Zips D,
    5. Baumann M,
    6. Jakob PM,
    7. et al.
    Correlating quantitative MR measurements of standardized tumor lines with histological parameters and tumor control dose. Radiother Oncol 2010;96:123–30.
    OpenUrlCrossRefPubMed
  59. 59.↵
    1. Thorwarth D,
    2. Alber M
    . Implementation of hypoxia imaging into treatment planning and delivery. Radiother Oncol 2010;97:172–5.
    OpenUrlCrossRefPubMed
  60. 60.↵
    1. Kaanders JH,
    2. Pop LA,
    3. Marres HA,
    4. Bruaset I,
    5. van den Hoogen FJ,
    6. Merkx MA,
    7. et al.
    ARCON: experience in 215 patients with advanced head-and-neck cancer. Int J Radiat Oncol Biol Phys 2002;52:769–78.
    OpenUrlCrossRefPubMed
  61. 61.↵
    1. Bentzen SM
    . Theragnostic imaging for radiation oncology: dose-painting by numbers. Lancet Oncol 2005;6:112–7.
    OpenUrlCrossRefPubMed
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Clinical Cancer Research: 17 (23)
December 2011
Volume 17, Issue 23
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Cancer Stem Cells: Targets and Potential Biomarkers for Radiotherapy
Mechthild Krause, Ala Yaromina, Wolfgang Eicheler, Ulrike Koch and Michael Baumann
Clin Cancer Res December 1 2011 (17) (23) 7224-7229; DOI: 10.1158/1078-0432.CCR-10-2639

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Cancer Stem Cells: Targets and Potential Biomarkers for Radiotherapy
Mechthild Krause, Ala Yaromina, Wolfgang Eicheler, Ulrike Koch and Michael Baumann
Clin Cancer Res December 1 2011 (17) (23) 7224-7229; DOI: 10.1158/1078-0432.CCR-10-2639
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