Disease Markers

Disease Markers / 2015 / Article

Research Article | Open Access

Volume 2015 |Article ID 986095 | 8 pages | https://doi.org/10.1155/2015/986095

High CD133 Expression in the Nucleus and Cytoplasm Predicts Poor Prognosis in Non-Small Cell Lung Cancer

Academic Editor: Valeria Barresi
Received12 Oct 2014
Revised08 Dec 2014
Accepted22 Dec 2014
Published18 Jan 2015

Abstract

Objective. The aim of this study was to investigate the expression of Prominin-1 (CD133) in cancer cells and its potential value as a prognostic indicator of survival in patients with non-small cell lung cancer (NSCLC). Methods. Cancerous tissues and matched normal tissues adjacent to the carcinoma from 239 NSCLC patients were obtained immediately after surgery. Immunohistochemistry of tissue microarrays was used to characterize the expression of CD133 in NSCLC and adjacent tissues. The correlation of CD133 expression with clinical characteristics and prognosis was determined by statistical analysis. Results. CD133 protein expression levels in both the cytoplasm and nucleus were significantly higher in NSCLC tissues compared with corresponding peritumoral tissue (). CD133 expression in the nucleus of NSCLC cells was related to tumor diameter (), tumor differentiation (), and TNM stage (). Kaplan-Meier survival and Cox regression analyses revealed that high CD133 expression in the nucleus was an independent predictor of poor prognosis of NSCLC, as was high cytoplasmic CD133 expression (). Conclusion. Our findings provide the first evidence that high expression of CD133 in both the nucleus and cytoplasm is associated with poor prognosis in NSCLC.

1. Introduction

Lung cancer is a leading cause of cancer death worldwide [1, 2]. Non-small cell lung cancers (NSCLCs) have a high morbidity and mortality rate and account for 80–85% of all lung cancers, which include adenocarcinomas, squamous cell carcinomas of the lung, and large cell undifferentiated carcinomas [2]. Surgical removal remains the best curative option for patients with early-stage NSCLC. However, despite recent advances in cancer treatment, the prognosis for those with NSCLC remains poor, with a 5-year overall survival rate of less than 15% [3, 4].

Much work towards molecular-targeted therapy for lung cancer has occurred in recent years. The identification of genetic alterations that drive cancer progression and the application of targeted therapy have prolonged survival of NSCLC patients [5].

Research into new prognostic markers is important to establish adequate therapeutic strategies for lung cancer. Several recent investigations have demonstrated the presence of cancer stem cells (CSCs) in tumor specimens, and the detection of stem cell markers (CD24−/CD44+, CD133, and ALDHA1) can provide useful prognostic information [6, 7].

Hamburger and Salmon [8] first proposed the CSC theory, which posits that cancer originates from uncommon cells that demonstrate pluripotency and selfrenewal [9]. These CSCs are responsible for the initiation, progression, and recurrence of cancer. Therefore, CSC markers are useful in the identification and study of CSCs and their role in the cause of tumorigenesis. A variety of molecules have been investigated as putative markers of CSCs in malignancies, with CD133 being one of the most commonly used markers.

A growing number of CD133-positive cancer cells have been identified in lung cancer [10, 11]. Eramo et al. [12] observed that a rare population of CD133-positive CSC-like cells were able to self-renew and generate an unlimited progeny of nontumorigenic cells, whereas CD133-negative cancer cells lacked this potential. However, the association between the location of CD133 expression and the clinicopathological characteristics, clinical features, and survival outcome in lung cancer remains unknown [13].

A meta-analysis [13] has suggested that CD133 expression is associated with poor tumor differentiation and lymph node metastasis. Poor differentiation and metastasis were also significantly associated with poor survival of cancer. Therefore, positive CD133 expression was most likely correlated with poor prognosis of lung cancer.

To date, few findings have been published regarding changes in the subcellular localization of these markers. Although a lot of papers have reported on the distribution of cell-surface proteins in the tumor cell cytoplasm in association with membrane localization [12, 1416], they have ignored the nuclear expression of CD133 and its nuclear sublocalization has been described only in few papers [17, 18].

In this study, we explore the nuclear localization of CD133 in human NSCLC tumors compared with adjacent tissues and examine the correlation between nuclear localization of CD133 and patient prognosis. We demonstrate the prognostic significance of the nuclear localization of CD133 expression in NSCLC and present the potential value of this marker as a prognostic indicator of survival in patients with NSCLC.

2. Materials and Methods

2.1. NSCLC Patient Specimens

Formalin-fixed, paraffin-embedded tumor samples from 239 NSCLC cases and 123 matched peritumoral tissue specimens were collected in NSCLC patients from the Department of Pathology, the Affiliated Hospital of Nantong University from 2004 to 2009. All cases were reevaluated for grade and histological type by two independent pathologists. The mean age of patients at the time of surgery was 63 years (range of 35–83 years). Other original clinical data were also collected, including gender, age, tumor size, histological type, tumor differentiation, TNM stage, and 5-year follow-up survival. No patients had received chemotherapy or radiation before the operation. Tumor staging was performed in accordance with the guidelines of the 7th edition of TNM staging in lung cancer [19]. Written informed consent and any related picture were acquired from each patient for publication of this study. This research was approved by the local Human Research Ethics Committee of the Affiliated Hospital of Nantong University, Nantong, China.

2.2. Tissue Microarray (TMA) Construction and Immunohistochemistry (IHC) Analysis

The 239 NSCLCs and 123 normal tumor-adjacent tissues were prepared and used for this present study. We used a Tissue Microarray System (Quick-Ray, UT06, UNITMA, Korea) in the Department of Clinical Pathology, Nantong University Hospital, Jiangsu, China, to produce 2 mm thick paraffin-embedded NSCLC TMA sections. Core tissue biopsies (2 mm in diameter) were taken from individual paraffin-embedded sections and arranged in the new recipient paraffin blocks. TMA blocks were cut into 4 μm sections and placed on super frost-charged glass microscope slides.

IHC analysis was performed as previously described [20]. Deparaffinized sections (4 μm thick) from array blocks were separately stained on an Autostainer Universal Staining System (LabVision, Kalamazoo, MI, USA) using polyclonal rabbit anti-CD133 antibody (LifeSpan BioSciences Inc., Seattle, WA, USA). The secondary antibody used was horseradish peroxidase-conjugated anti-rabbit antibody (Dako Cytomation, Carpinteria, CA, USA). For negative controls, phosphate-buffered saline was used instead of the primary antibody. Blind CD133 immunostaining evaluation and independent observation were simultaneously performed. IHC results were analyzed according to a previously described method [21]. Staining intensity was scored as follows: 0 (negative), 1 (weakly positive), 2 (moderately positive), and 3 (strongly positive). The percentage of CD133-positive cells was also scored into four categories, with a score of 1 given for <10%, 2 for 11–50%, 3 for 51–80%, and 4 for >81%. The product of the intensity and percentage scores was used as the final CD133 staining score. The cutoff point for the CD133 expression score that was statistically significant in terms of survival was set using the X-tile software program (The Rimm Lab at Yale University; http://www.tissuearray.org/rimmlab/) as described previously [21]. The degree of CD133 staining was quantified using a two-level grading system, and staining scores were defined as follows: 0-1, low expression, and 2–9, high expression.

2.3. Statistical Analysis

Associations between CD133 expression and categorical variables were analyzed using chi-square tests or Fisher exact tests, as appropriate. Survival curves were estimated using the Kaplan-Meier method, and differences in survival distributions were evaluated using the log-rank test. Univariate analysis using Cox proportional hazards modeling was applied to determine correlations between various factors and overall survival. The level of significance was set at . Statistical analyses were performed using STATA 9.0 software (Stata Corporation, College Station, TX, USA).

3. Results

3.1. Expression of CD133 Protein in NSCLC and Peritumoral Tissues

To further investigate the expression of CD133 protein in carcinomas and the corresponding adjacent tissues, we performed IHC analysis on primary patient NSCLC specimens. CD133 was detected at various levels, primarily in the nucleus and cytoplasm of cells (Figure 1). High CD133 expression was detected in 57.30% (137/239) of NSCLC samples, compared with 26.02% (32/123) of adjacent matched tumor tissues. The typically observed CD133 staining patterns are shown in Figure 1.

3.2. Association between CD133 Expression and Clinicopathological Parameters of NSCLC

The association between high CD133 expression and the selected clinicopathological variables in NSCLC patients is shown in Table 1. High CD133 expression in the nucleus was associated with tumor diameter (), tumor differentiation (), and TNM stage (). No significant association between CD133 expression and other clinical parameters such as gender, age, and histological type was identified (Table 1). High CD133 expression in the cytoplasm was also associated with tumor diameter (), tumor differentiation (), and TNM stage (), while similarly no significant association between CD133 expression and other clinical parameters was identified (Table 1).


GroupCD133 expression in nucleusCD133 expression in cytoplasm
Low or no expression (%)High expression (%)Pearson valueLow or no expression (%)High expression (%)Pearson value

Total102 (42.7)137 (57.3)114 (47.7)125 (52.3)

Gender
Female29 (49.1)30 (50.9)1.342.24727 (45.8)32 (54.2)0.118.732
Male73 (40.6)107 (59.4)87 (48.3)93 (51.7)

Age
≤60 years38 (43.2)50 (56.8)0.015.90441 (46.6)47 (53.4)0.069.793
>60 years64 (42.4)87 (57.6)73 (48.3)78 (51.7)

Tumor diameter
≤4 cm73 (48.0)79 (52.0)4.883.027*81 (53.3)71 (46.7)5.232.022*
>4 cm29 (33.3)58 (66.7)33 (37.9)54 (62.1)

Histological type
Squamous cell carcinoma51 (40.8)74 (59.2)3.296.34862 (49.6)63 (50.4)2.084.555
Adenocarcinoma25 (54.3)21 (45.7)23 (50.0)23 (50.0)
Adenosquamous carcinoma24 (38.1)39 (61.9)28 (44.4)35 (55.6)
Others2 (40.0)3 (60.0)1 (20.0)4 (80.0)

Differentiation
Well14 (87.5)2 (12.5)18.339<.001*14 (87.5)2 (12.5)18.479<.001*
Moderate70 (43.7)90 (56.3)81 (50.6)79 (49.4)
Poor18 (28.6)45 (71.4)19 (30.2)44 (69.8)

Stage grouping with TNM
Stage I64 (52.5)58 (47.5)10.055.007*70 (57.4)52 (42.6)9.693.008*
Stage II58 (30.0)42 (70.0)21 (35.0)39 (65.0)
Stage III-IV20 (42.7)37 (57.3)23 (40.4)34 (59.6)

.

When CD133 expression was low or absent in both the cytoplasm and nucleus (92/239 samples), the average survival time was 57.46 years. In contrast, when both cytoplasmic and nuclear CD133 expression were high (115/239 samples), the average survival time was 17.45 years. Furthermore, when cytoplasmic CD133 expression was low but nuclear expression was high (22/239 samples), the average survival time was 38.82 years while when nuclear CD133 expression was low but cytoplasmic expression was high (10/239), the average survival time was 49.10 years.

3.3. Survival Analysis

Based on univariate Cox regression analyses for all factors, high CD133 expression in both the cytoplasm and nucleus was a significant () prognostic factor for NSCLC (Table 2). Tumor differentiation () and tumor diameter () were also closely related to patient survival. The multivariate Cox regression model further demonstrated that CD133 expression (), tumor diameter (), and tumor differentiation () were the strongest predictors of patient survival (Table 2). Kaplan-Meier survival curves showed that NSCLC patients with low and no CD133 expression had a significantly favorable survival time (Figure 2).


VariableYearsUnivariate analysisMultivariate analysis
valueHR value95% CI

CD133 expression in cytoplasm
High versus low5<.001*2.709<.001*1.8983.866

CD133 expression in nuclear
High versus low5<.001*5.211<.001*3.5257.703

Gender
Male versus female5.655

Age (years)
≤60 versus >605.165

Tumor diameter (cm)
≤4 versus >45.035*1.52.005*1.1382.051

Histological type
Sq versus Ad versus SA5.300

Differentiation
Well versus moderate versus poor5.001*1.393.015*1.0661.820

Stage
I versus II versus III-IV5.027*

.

4. Discussion

Lung cancer is the most preventable cancer, but once established its prognosis is poor. The 5-year survival rate is low because of late presentation, disease relapse, and a low rate of curative therapy [22]. Understanding lung cancer pathogenesis may improve future human therapies, and preliminary evidence has pointed to the existence of cancer stem cells (CSCs) in lung cancer [22].

CD133, also known as Prominin-1, is a member of the pentaspan transmembrane (5-TM) glycoprotein family. In humans, the Prominin-1 gene is located on chromosome 4p15 and encodes a 120-kD transmembrane glycoprotein [23], which localizes to membrane protrusions. CD133 is widely used to identify and isolate stem cells and CSCs. It was first described as a hematopoietic stem cell marker and later found on certain types of leukemic cells [23]; however, its precise function remains unclear. It is hypothesized to be associated with cell-cell interactions or signal transduction [24]. Recently, expression of CD133 in CSCs from a variety of solid tumors has been reported, including tumors from the brain [25], liver [26], ovary [27], colon [28], lung [29], and endometrium [30].

In 2009, Tirino et al. [31] reported the presence of CD133 in both fresh human NSCLC specimens and a stabilized cell line. The authors isolated and characterized a population of CD133+ cells from NSCLC that is able to give rise to spheres that can act as tumor-initiating cells. These represent the cancer-initiating cells capable of giving rise to primary tumor growth, invasion, and distant metastatic spread.

In this study, TMAs with NSCLC specimens and IHC analysis revealed higher CD133 protein expression in NSCLC tissues than in matched tumor-adjacent tissues. This result is similar to those of studies of various malignancies that have previously found high expression of CD133 in cancer tissues [32]. However, our study shows that CD133 is also located in the nucleus. Furthermore, high CD133 expression in NSCLC correlated with certain clinical pathologic parameters, including tumor diameter, tumor differentiation, and 5-year survival rate. This is consistent with previous findings concerning high CD133 expression in the cytoplasm of NSCLC cells [33]. Kaplan-Meier analysis demonstrated that the life span of patients with negative CD133 expression was longer than that of patients with positive expression. Univariate analysis showed that CD133 expression, age, tumor diameter, and tumor differentiation were correlated with overall survival of NSCLC patients. Multivariate analysis further revealed that high CD133 expression, old age, a large tumor diameter, and a poor degree of differentiation independently predicted unfavorable overall survival of NSCLC patients.

CD133 expression has been associated with chemoresistance and increased metastatic potential in multiple human cancers, although the mechanisms underlying this remain unknown.

It is necessary to understand the various signaling pathways that are involved in the regulation as well as the maintenance of CSCs in the lung. The critical pathways involved in this present themselves as promising targets for lung cancer treatment. The signaling pathways that are involved in embryogenesis are also implicated in oncogenesis. Some of the important pathways involved in the maintenance of lung cancer stem cells include Wnt/β-catenin, Notch, and Hedgehog. These pathways are linked with the maintenance of tissue homeostasis and normal stem cell renewal [34]. Any deregulation of such signaling drives the activity of the CSCs in multiple cancer types, including lung cancer [35].

The Notch signaling pathway is known to regulate the differentiation of epithelial progenitors during lung development [36, 37]. Because CSCs exhibit similar properties to normal stem cells, the Notch pathway may also play an important role in lung tumorigenesis. In our research, significant association between CD133 expression and tumor differentiation was identified.

NOTCH ligands, receptors, and targets have been found in a wide range of neoplasms, including lung, breast, renal, and pancreas carcinoma, neuroblastoma, and myeloma [3841]. In many of these tumor types, it has been shown that increased NOTCH activity promotes tumor growth, whereas NOTCH pathway blockade inhibits proliferation and/or survival. Inhibition of NOTCH signaling is therefore a promising therapeutic avenue in a wide range of cancers. Someone found that Notch signaling was expressed in both CD133+ and CD133− cells, when blocking the Notch pathway in CD133+ cells, the growth of cells was depressed, the cell cycle would be arrested in G2/M phase, and it can enhance the effect of chemotherapy [42].

Nuclear localization of CD133 may be an indicator of poor prognosis in non-small cell lung cancer, CD133 is known as a surface molecule, such anomalous localization in the nucleus has been described for several other molecules and cell-surface receptors in various malignancies [43, 44].

CD133 is a member of the pentaspan transmembrane glycoprotein family; transmembrane proteins are generally internalized by endocytosis, delivered in the cytoplasm, and then transported to the nucleus by classical pathways involving specific proteins (importins) that recognize nuclear localization signals (NLS) in cargo proteins. Macromolecules can be internalized by two major endocytic pathways, involving either caveolin or clathrin. When moving into the nucleus, CD133 can act as transcriptional regulators by interfering with molecular pathways directly connected to the proliferation and differentiation of tumor cells. But the exact mechanism is unknown and needs further study.

5. Conclusion

We have identified for the first time that CD133 is expressed in the cell nucleus of NSCLC tissues at a higher level than that of adjacent tissues. This increased nuclear expression was closely correlated with poor survival and as such CD133 may play an essential role as a prognostic marker of survival for patients with NSCLC while also providing a reference for clinical work. Its clinical significance is consistent with that previously described for increased cytoplasmic expression of CD133. Our study aids in understanding the roles of CD133 in the progression and development of NSCLC. Finally, related signaling pathways and the potential mechanisms of CD133 involvement in NSCLC development and progression need to be studied more intensively to further understand the prognostic and therapeutic value of CD133.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

Authors’ Contribution

Minjie Huang and Huijun Zhu contributed equally to this work.

Acknowledgments

This study was supported by the Technological Innovation and Demonstration of Social Undertakings Projects (HS2013021) of Nantong, China, and the Clinic Master Grant (2013) from the Medical Research Program of Nantong University, Jiangsu, China.

References

  1. H. Sugimura, F. C. Nichols, P. Yang et al., “Survival after recurrent nonsmall-cell lung cancer after complete pulmonary resection,” Annals of Thoracic Surgery, vol. 83, no. 2, pp. 409–418, 2007. View at: Publisher Site | Google Scholar
  2. G. Lin, Y. Li, S. Chen, and H. Jiang, “Integrated Chinese-Western therapy versus western therapy alone on survival rate in patients with non-small-cell lung cancer at middle-late stage,” Journal of Traditional Chinese Medicine, vol. 33, no. 4, pp. 433–438, 2013. View at: Publisher Site | Google Scholar
  3. W. Gao, L. Liu, X. Lu, and Y. Shu, “Circulating microRNAs: possible prediction biomarkers for personalized therapy of non-small-cell lung carcinoma,” Clinical Lung Cancer, vol. 12, no. 1, pp. 14–17, 2011. View at: Publisher Site | Google Scholar
  4. C. B. Smith, A. S. Kelley, and D. E. Meier, “Evidence for new standard of care in non-small cell lung cancer patients,” Seminars in Thoracic and Cardiovascular Surgery, vol. 22, no. 3, pp. 193–194, 2010. View at: Publisher Site | Google Scholar
  5. G. Minuti, A. D'Incecco, L. Landi, and F. Cappuzzo, “Protein kinase inhibitors to treat non-small-cell lung cancer,” Expert Opinion on Pharmacotherapy, vol. 15, no. 9, pp. 1203–1213, 2014. View at: Publisher Site | Google Scholar
  6. R. Gomez-Casal, C. Bhattacharya, N. Ganesh et al., “Non-small cell lung cancer cells survived ionizing radiation treatment display cancer stem cell and epithelial-mesenchymal transition phenotypes,” Molecular Cancer, vol. 12, article 94, 2013. View at: Publisher Site | Google Scholar
  7. F. Karimi-Busheri, A. Rasouli-Nia, V. Zadorozhny, and H. Fakhrai, “CD24+/CD38 as new prognostic marker for non-small cell lung cancer,” Multidisciplinary Respiratory Medicine, vol. 8, no. 1, p. 65, 2013. View at: Publisher Site | Google Scholar
  8. A. W. Hamburger and S. E. Salmon, “Primary bioassay of human tumor stem cells,” Science, vol. 197, no. 4302, pp. 461–463, 1977. View at: Publisher Site | Google Scholar
  9. B. M. Boman and M. S. Wicha, “Cancer stem cells: a step toward the cure,” Journal of Clinical Oncology, vol. 26, no. 17, pp. 2795–2799, 2008. View at: Publisher Site | Google Scholar
  10. M. Janikova, J. Skarda, M. Dziechciarkova et al., “Identification of cd133+/nestin+ putative cancer stem cells in non-small cell lung cancer,” Biomedical Papers, vol. 154, no. 4, pp. 321–326, 2010. View at: Publisher Site | Google Scholar
  11. F. Cui, J. Wang, D. Chen, and Y. J. Chen, “CD133 is a temporary marker of cancer stem cells in small cell lung cancer, but not in non-small cell lung cancer,” Oncology Reports, vol. 25, no. 3, pp. 701–708, 2011. View at: Publisher Site | Google Scholar
  12. A. Eramo, F. Lotti, G. Sette et al., “Identification and expansion of the tumorigenic lung cancer stem cell population,” Cell Death and Differentiation, vol. 15, no. 3, pp. 504–514, 2008. View at: Publisher Site | Google Scholar
  13. Y. Tan, B. Chen, W. Xu, W. Zhao, and J. Wu, “Clinicopathological significance of CD133 in lung cancer: a meta-analysis,” Molecular and Clinical Oncology, vol. 2, no. 1, pp. 111–115, 2014. View at: Google Scholar
  14. L.-B. Weiswald, J.-M. Guinebretière, S. Richon, D. Bellet, B. Saubaméa, and V. Dangles-Marie, “In situ protein expression in tumour spheres: development of an immunostaining protocol for confocal microscopy,” BMC Cancer, vol. 10, article 106, 2010. View at: Publisher Site | Google Scholar
  15. S. K. Singh, I. D. Clarke, M. Terasaki et al., “Identification of a cancer stem cell in human brain tumors,” Cancer Research, vol. 63, no. 18, pp. 5821–5828, 2003. View at: Google Scholar
  16. H. Mizugaki, J. Sakakibara-Konishi, J. Kikuchi et al., “CD133 expression: a potential prognostic marker for non-small cell lung cancers,” International Journal of Clinical Oncology, vol. 19, no. 2, pp. 254–259, 2014. View at: Publisher Site | Google Scholar
  17. M. Cantile, F. Collina, M. D'Aiuto et al., “Nuclear localization of cancer stem cell marker CD133 in triple-negative breast cancer: a case report,” Tumori, vol. 99, no. 5, pp. e245–e250, 2013. View at: Publisher Site | Google Scholar
  18. M. J. Zenali, D. Tan, W. Li, S. Dhingra, and R. E. Brown, “Stemness characteristics of fibrolamellar hepatocellular carcinoma: immunohistochemical analysis with comparisons to conventional hepatocellular carcinoma,” Annals of Clinical and Laboratory Science, vol. 40, no. 2, pp. 126–134, 2010. View at: Google Scholar
  19. P. Goldstraw, “The 7th edition of TNM in lung cancer: what now?” Journal of Thoracic Oncology, vol. 4, pp. 671–673, 2009. View at: Publisher Site | Google Scholar
  20. S. Ni, L. Xu, J. Huang et al., “Increased ZO-1 expression predicts valuable prognosis in non-small cell lung cancer,” International Journal of Clinical and Experimental Pathology, vol. 6, no. 12, pp. 2887–2895, 2013. View at: Google Scholar
  21. J. Huang, J. Zhang, H. Li et al., “VCAM1 expression correlated with tumorigenesis and poor prognosis in high grade serous ovarian cancer,” American Journal of Translational Research, vol. 5, no. 3, pp. 336–346, 2013. View at: Google Scholar
  22. A. Giangreco, K. R. Groot, and S. M. Janes, “Lung cancer and lung stem cells: strange bedfellows?” The American Journal of Respiratory and Critical Care Medicine, vol. 175, no. 6, pp. 547–553, 2007. View at: Publisher Site | Google Scholar
  23. A. H. Yin, S. Miraglia, E. D. Zanjani et al., “AC133, a novel marker for human hematopoietic stem and progenitor cells,” Blood, vol. 90, no. 12, pp. 5002–5012, 1997. View at: Google Scholar
  24. F. Ren, W.-Q. Sheng, and X. Du, “CD133: a cancer stem cells marker, is used in colorectal cancers,” World Journal of Gastroenterology, vol. 19, no. 17, pp. 2603–2611, 2013. View at: Publisher Site | Google Scholar
  25. N. Wu, L. Xiao, X. Zhao et al., “MiR-125b regulates the proliferation of glioblastoma stem cells by targeting E2F2,” FEBS Letters, vol. 586, no. 21, pp. 3831–3839, 2012. View at: Publisher Site | Google Scholar
  26. S. Ma, “Biology and clinical implications of CD133+ liver cancer stem cells,” Experimental Cell Research, vol. 319, no. 2, pp. 126–132, 2013. View at: Publisher Site | Google Scholar
  27. H. Long, R. Xie, T. Xiang et al., “Autocrine CCL5 signaling promotes invasion and migration of CD133+ ovarian cancer stem-like cells via NF-kappaB-mediated MMP-9 upregulation,” Stem Cells, vol. 30, no. 10, pp. 2309–2319, 2012. View at: Publisher Site | Google Scholar
  28. M. Schneider, J. Huber, B. Hadaschik, G. M. Siegers, H. H. Fiebig, and J. Schüler, “Characterization of colon cancer cells: a functional approach characterizing CD133 as a potential stem cell marker,” BMC Cancer, vol. 12, article 96, 2012. View at: Publisher Site | Google Scholar
  29. A. V. Salnikov, J. Gladkich, G. Moldenhauer, M. Volm, J. Mattern, and I. Herr, “CD133 is indicative for a resistance phenotype but does not represent a prognostic marker for survival of non-small cell lung cancer patients,” International Journal of Cancer, vol. 126, no. 4, pp. 950–958, 2010. View at: Publisher Site | Google Scholar
  30. S. Rutella, G. Bonanno, A. Procoli et al., “Cells with characteristics of cancer stem/progenitor cells express the CD133 antigen in human endometrial tumors,” Clinical Cancer Research, vol. 15, no. 13, pp. 4299–4311, 2009. View at: Publisher Site | Google Scholar
  31. V. Tirino, R. Camerlingo, R. Franco et al., “The role of CD133 in the identification and characterisation of tumour-initiating cells in non-small-cell lung cancer,” European Journal of Cardio-thoracic Surgery, vol. 36, no. 3, pp. 446–453, 2009. View at: Publisher Site | Google Scholar
  32. J. Wang, Z.-H. Li, J. White, and L.-B. Zhang, “Lung cancer stem cells and implications for future therapeutics,” Cell Biochemistry and Biophysics, vol. 69, no. 3, pp. 389–398, 2014. View at: Publisher Site | Google Scholar
  33. H. Le, F. Zeng, L. Xu, X. Liu, and Y. Huang, “The role of CD133 expression in the carcinogenesis and prognosis of patients with lung cancer,” Molecular Medicine Reports, vol. 8, no. 5, pp. 1511–1518, 2013. View at: Publisher Site | Google Scholar
  34. C. Karamboulas and L. Ailles, “Developmental signaling pathways in cancer stem cells of solid tumors,” Biochimica et Biophysica Acta (BBA)—General Subjects, vol. 1830, no. 2, pp. 2481–2495, 2013. View at: Publisher Site | Google Scholar
  35. N. Takebe and S. Percy Ivy, “Controversies in cancer stem cells: targeting embryonic signaling pathways,” Clinical Cancer Research, vol. 16, no. 12, pp. 3106–3112, 2010. View at: Publisher Site | Google Scholar
  36. J. S. Guseh, S. A. Bores, B. Z. Stanger et al., “Notch signaling promotes airway mucous metaplasia and inhibits alveolar development,” Development, vol. 136, no. 10, pp. 1751–1759, 2009. View at: Publisher Site | Google Scholar
  37. P.-N. Tsao, F. Chen, K. I. Izvolsky et al., “γ-secretase activation of notch signaling regulates the balance of proximal and distal fates in progenitor cells of the developing lung,” The Journal of Biological Chemistry, vol. 283, no. 43, pp. 29532–29544, 2008. View at: Publisher Site | Google Scholar
  38. B. J. Nickoloff, B. A. Osborne, and L. Miele, “Notch signaling as a therapeutic target in cancer: a new approach to the development of cell fate modifying agents,” Oncogene, vol. 22, no. 43, pp. 6598–6608, 2003. View at: Publisher Site | Google Scholar
  39. E. J. Allenspach, I. Maillard, J. C. Aster, and W. S. Pear, “Notch signaling in cancer,” Cancer Biology and Therapy, vol. 1, no. 5, pp. 466–476, 2002. View at: Publisher Site | Google Scholar
  40. C. Houde, Y. Li, L. Song et al., “Overexpression of the NOTCH ligand JAG2 in malignant plasma cells from multiple myeloma patients and cell lines,” Blood, vol. 104, no. 12, pp. 3697–3704, 2004. View at: Publisher Site | Google Scholar
  41. C. Parr, G. Watkins, and W. G. Jiang, “The possible correlation of Notch-1 and Notch-2 with clinical outcome and tumour clinicopathological parameters in human breast cancer,” International Journal of Molecular Medicine, vol. 14, no. 5, pp. 779–786, 2004. View at: Google Scholar
  42. Z. Mao, J. Liu, Z. Mao, J. Huang, S. Xie, and T. Liu, “Blocking the NOTCH pathway can inhibit the growth of CD133-positive A549 cells and sensitize to chemotherapy,” Biochemical and Biophysical Research Communications, vol. 444, no. 4, pp. 670–675, 2014. View at: Publisher Site | Google Scholar
  43. D. M. Bryant and J. L. Stow, “Nuclear translocation of cell-surface receptors: lessons from fibroblast growth factor,” Traffic, vol. 6, no. 10, pp. 947–954, 2005. View at: Publisher Site | Google Scholar
  44. N. Planque, “Nuclear trafficking of secreted factors and cell-surface receptors: new pathways to regulate cell proliferation and differentiation, and involvement in cancers,” Cell Communication and Signaling, vol. 4, article 7, 2006. View at: Publisher Site | Google Scholar

Copyright © 2015 Minjie Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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