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ORIGINAL RESEARCH article

Front. Endocrinol., 02 August 2019
Sec. Thyroid Endocrinology
This article is part of the Research Topic Translational Research in Thyroid Cancer View all 10 articles

Immunohistochemical Analysis of Cancer Stem Cell Marker Expression in Papillary Thyroid Cancer

  • Department of Pathology, Yonsei University College of Medicine, Seoul, South Korea

Cancer stem cell (CSC) markers have prognostic significance in various cancers, but their clinical significance in papillary thyroid carcinoma (PTC) has not been demonstrated. In this study, CSC markers expressed in PTC and their relationships with prognosis were evaluated. We constructed tissue microarrays for 386 PTC cases, divided it into 42 low risk cases and 344 intermediate risk cases according to the American Thyroid Association 2009 Risk Stratification System. Immunohistochemical staining of CSC markers (CD15, CD24, CD44, CD166, and ALDH1A1) was performed, and the proportion of stained cells and immunostaining intensity were evaluated to determine positive marker expression. The relationships between CSC marker expression and other clinicopathological parameters or survival were analyzed. CD15 expression was higher in PTC with intermediate risk than in PTC with low risk (29.4 vs. 11.9%, p = 0.017). According to a multivariate analysis, CD15, CD44, CD166, and ALDH1A1 positivity were independently associated with a shorter progression-free survival (PFS) (odds ratio [OR]: 1.929, 2.960, 7.485, and 3.736; p = 0.016, p = 0.026, p < 0.001, and p = 0.006, respectively). Higher N and cancer stage were the only other clinical factors associated with a shorter PFS (OR: 2.953 and 1.898, p = 0.011 and p = 0.034). Overexpression of CSC markers in PTC was associated with shorter PFS during follow-up. Immunohistochemical staining of CSC markers may provide useful information for predicting patient outcomes.

Introduction

Thyroid cancer is the most common type of endocrine-related cancer, affecting 3.2 million people worldwide in 2015 (1). Among thyroid cancers, papillary thyroid cancer (PTC) accounts for 80–85% of cases. In general, the prognosis of PTC is favorable because of its low biological aggressiveness (24). However, in cases of disease recurrence or metastasis owing to a poor response or resistance to the standard treatment of thyroidectomy and radioactive iodine-131 therapy, patient death may occur and alternative treatment options should be sought. Therefore, numerous efforts have been made to identify markers of aggressive cancer behaviors. While the cause of aggressiveness in certain patients with PTC is unclear, several lines of evidence suggest an association with a rare subpopulation of tumor cells with stem cell-like features, also known as cancer stem cells (CSCs) (5, 6). CSCs have important roles in cancer development, growth, recurrence, and metastasis owing to their potential to self-renew and differentiate into various cells lineages. These characteristics may result in the formation of heterogenous tumor cell masses and the acquisition of resistance to chemotherapy and radiotherapy (710).

The role of CSCs in malignancy was first demonstrated in a leukemia model. While tumorigenesis is not provoked in immunodeficient non-obese diabetic/severe combined immunodeficiency mice upon transplantation of most tumor cells, the transplantation of certain tumor cells induces tumorigenesis (11). Subsequent studies have further evaluated the role of CSCs in various solid and hematological malignancies. For example, CSCs were found to be related to resistance to therapy and poor prognosis in patients with esophageal and breast cancer (1215). In line with these findings, CSC marker expression is correlated with poor prognosis in colorectal carcinoma, suggesting that the expression of CSC markers is associated with patient prognosis in various cancers (16, 17).

Several surrogate marker of CSCs have been previously described. For example, CD24, CD44, and ALDHA1 have been suggested to be CSC markers in breast cancer (13), and CD166 has been implicated in colon cancer (17). In a thyroid cancer cell line, CD15, CD44, CD166, and ALDHA1 are markers of thyroid epithelial cell stemness (18). Moreover, Xu et al. have shown that SSEA-1 (CD15) immunoreactivity is associated with an aggressive subtype of thyroid carcinoma (19). However, the relationship between CSC marker expression and patient prognosis in PTC remains unclear. Therefore, the objective of this study was to investigate the expression of CSC markers in PTC and evaluate its clinical significance.

Materials and Methods

Cancer Stem Cell Marker Selection

To select candidate markers for CSCs, an in silico analysis and literature review were performed and the most extensively studied candidate markers were chosen (20, 21). CD44 expression was higher in thyroid cancer tissues than in normal thyroid tissues according to the Gene Expression across Normal and Tumor Tissue (GENT) web-accessible database (http://medical-genome.kribb.re.kr/GENT). The web-accessible database cBioPortal (http://www.cbioportal.org) was used to evaluate CSC marker abnormalities in thyroid cancer tissues (Supplementary Figure S1). As a result, CD15, CD24, CD44, CD166, and ALDH1A1 were selected as markers of CSCs in this study.

Patient Selection

A total of 386 patients pathologically diagnosed with PTC at Severance Hospital who underwent the surgical removal of cancer and for whom paraffin blocks were available were recruited. Patients were divided into two groups, low risk (n = 42) and intermediate risk (n = 344), according to the American Thyroid Association 2009 Risk Stratification System (22). All cases were retrospectively reviewed by a thyroid pathologist (JSK), and histological evaluation was performed after hematoxylin and eosin staining. Clinicopathological data were obtained from medical records and included age at diagnosis, sex, disease recurrence/metastasis, and all-cause mortality. The T, N, and cancer stage (23), margin (expanding or infiltrative), extent (confined to the thyroid parenchyma or with extrathyroidal spread), and presence of BRAF V600E mutations were also noted after reviewing the slides and surgical pathology reports. This study was approved by the Institutional Review Board of Severance Hospital and conducted in accordance with the principles set forth in the Declaration of Helsinki. The requirement to obtain informed consent was waived from the Institutional Review Board of Severance Hospital because this was a retrospective study.

Tissue Microarray

Representative areas were selected on hematoxylin and eosin-stained slides, and a corresponding spot was marked on the surface of the matching paraffin block. Tissue microarrays (TMAs) were constructed from representative tissue columns for the 386 PTC cases. Three-millimeter tissue cores were extracted from the selected areas using a manual tissue arrayer and placed into a 6 × 5 recipient block. Two tissue cores were extracted from each sample to minimize extraction bias. Each tissue core was assigned a unique TMA location number, which was linked to a database containing other clinicopathological data.

Immunohistochemistry

Antibodies used for immunohistochemistry are listed in Supplementary Table S1. All immunohistochemical analyses were performed with formalin-fixed, paraffin-embedded tissue sections using an automatic immunohistochemistry staining device (Benchmark XT; Ventana Medical System, Tucson, AZ, USA). Briefly, 5-μm-thick formaldehyde-fixed, paraffin-embedded tissue sections were transferred to adhesive slides and dried at 62°C for 30 min. Standard heat epitope retrieval was performed for 30 min in ethylene diamine tetraacetic acid, pH 8.0, in an autostainer. The samples were then incubated with primary antibodies. Afterwards, the sections were incubated with biotinylated anti-mouse immunoglobulins, peroxidase-labeled streptavidin (LSAB Kit, DakoCytomation, Agilent, Santa Clara, CA, USA), and 3,3′-diaminobenzidine. Negative control samples were processed without the primary antibody. Positive control tissues were used per the manufacturer's recommendation. Slides were counterstained with Harris hematoxylin. Optimal primary antibody incubation times and concentrations were determined by serial dilutions using a tissue block fixed and embedded exactly as performed for the samples.

Interpretation of Immunohistochemical Staining

Immunohistochemical markers were assessed by light microscopy. The stained slides were semi-quantitatively evaluated as described previously (24). Staining was evaluated by calculating the proportion of stained cells and immunostaining intensity. The immunostaining intensity was defined as follows: 0, negative; 1, weak; 2, moderate; and 3, strong. The scores for the proportion of stained cells and immunostaining intensity were multiplied, and staining was defined as positive when the final score was >10. BRAF V600E mutation status was evaluated using immunohistochemical staining, and was considered positive when >20% of tumor cells were positive (25).

Statistical Analysis

All data are presented as frequencies and percentages. Data were compared using the Chi-squared test or Fisher's exact test, as appropriate. Associations between the proportion of CSC marker-stained cells and BRAF V600E mutation status were analyzed using Spearman's rho. Univariate and multivariate Cox proportional hazard analyses were used to evaluate prognostic factors for progression-free survival (PFS) and overall survival (OS). For all statistical analyses, a two-tailed p-value of <0.05 was considered statistically significant. Data analyses were performed using IBM SPSS Statistics for Windows, Version 21.0 (Released 2012; IBM Corp., Armonk, NY, USA).

Results

Baseline Characteristics of Patients

The clinicopathological features of patients included in this study are presented in Table 1. Among the patients, 305 (79.0%) were female, and the mean age was 47.0 years (range: 20–82 years). The N and cancer stages were higher in patients in the intermediate risk group than in those in the low risk group. Moreover, infiltrative margins, extrathyroidal extension, and BRAF V600E mutation were more frequently observed in PTC with intermediate risk than in the low risk group. No significant differences were found with respect to age, gender, T stage, recurrence/metastasis, and mortality between the two groups.

TABLE 1
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Table 1. Clinicopathological features of patients with papillary thyroid carcinoma according to the American Thyroid Association 2009 Risk Stratification System.

Expression of CSC Markers in the Low and Intermediate Risk Groups

Among the CSC markers, CD44 positivity was most frequent, followed by CD166 positivity and CD15 positivity. The expression of CD15 was significantly higher in the intermediate risk group than in the low risk group (29.4 vs. 11.9%, p = 0.017; Table 2). CD24 positivity was found in only 2 (0.5%) cases, and there was no statistical difference in the expression of CD24 between the two groups. A heat map of CSC marker expression and representative images of immunohistochemical staining of CSC markers in PTC with low risk and intermediate risk are shown in Figures 1, 2.

TABLE 2
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Table 2. Expression of cancer stem cell markers according to the American Thyroid Association 2009 Risk Stratification System.

FIGURE 1
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Figure 1. Heat map of cancer stem cell markers expressed in papillary thyroid carcinoma with ATA low risk and ATA intermediate risk.

FIGURE 2
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Figure 2. Expression of cancer stem cell markers in papillary thyroid carcinoma with ATA low risk and ATA intermediate risk. The expression of CD15 was higher in PTCs with ATA intermediate risk × 100.

Correlations Between CSC Marker Expression and Clinicopathological Factors in PTC

We investigated the correlations between the expression of CSC markers and clinicopathological factors in PTC. CD15 positivity was associated with older age (≥45 years; p = 0.036), infiltrative margins (p = 0.002), BRAF V600E mutation (p < 0.001), and recurrence/metastasis (p = 0.014; Figure 3). Similarly, CD44 positivity was associated with a higher N stage (p = 0.022), infiltrative margins (p < 0.001), extrathyroidal involvement (p = 0.038), and recurrence/metastasis (p = 0.019). CD166 positivity was associated with BRAF V600E mutation and recurrence/metastasis (p = 0.040 and p < 0.001, respectively), and ALDH1A1 positivity was associated with recurrence/metastasis (p < 0.001; Figure 4).

FIGURE 3
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Figure 3. Expression of cancer stem cell marker CD15 and its association with clinicopathologic factors.

FIGURE 4
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Figure 4. Expression of cancer stem cell markers CD44, CD166, ALDH1A1, and clinicopathological factors. LN, lymph node.

Correlations Between CSC Markers and BRAF V600E Mutation Status

The BRAF V600E mutation status was evaluated by immunohistochemistry in 320 cases of PTC. In total, 225 of the cases (70.3%) exhibited the BRAF V600E mutation. The proportions of CD15- and CD24-stained cells were correlated with the BRAF V600E mutation status (r = 0.393, p < 0.001 and r = 0.124, p = 0.026; Table 3). An association between CD15-stained cells and BRAF V600E mutation status was also observed in PTC cases with lymph node metastasis (r = 0.367, p < 0.001). However, no significant correlations were observed between the frequencies of the remaining CSC markers and the BRAF V600E mutation status.

TABLE 3
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Table 3. Correlations between cancer stem cell marker expression and BRAF V600E mutation status.

CSC Marker Expression Is Associated With Disease Recurrence or Metastasis in PTC

We investigated the impact of clinical parameters and CSC marker expression on the clinical outcomes of patients with PTC using a Cox proportional hazard analysis. The mean follow-up period was 79.1 months, with 59 patients (15.3%) suffering recurrence or metastasis and 19 patients (4.9%) dying during the follow-up period. According to a univariate analysis, higher N and cancer stages, extrathyroidal involvement, and CD15, CD44, CD166, and ALDH1A1 positivity were related to a shorter PFS. A multivariate analysis revealed that a higher N stage [odds ratio (OR): 2.953, 95% confidence interval (CI): 1.286–6.783, p = 0.011], higher cancer stage (OR: 1.898, 95% CI: 1.050–3.430, p = 0.034), CD15 positivity (OR: 1.929, 95% CI: 1.132–3.288, p = 0.016), CD44 positivity (OR: 2.960, 95% CI: 1.137–7.704, p = 0.026), CD166 positivity (OR: 7.485, 95% CI: 4.333–12.930, p < 0.001), and ALDH1A1 positivity (OR: 3.736, 95% CI: 1.467–9.515, p = 0.006) were independently associated with a shorter PFS. However, only a higher cancer stage (OR: 6.839, 95% CI: 2.462–19.000, p < 0.010) was associated with a shorter OS according to univariate and multivariate analyses (Table 4).

TABLE 4
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Table 4. Cox proportional hazard analysis of progression-free survival and overall survival in papillary thyroid carcinoma.

Discussion

In this study, we evaluated the expression of CSC markers in PTC and their correlations with clinicopathological parameters and prognosis. We found that in PTC with intermediate risk, the expression of the CSC marker CD15 was significantly elevated. Furthermore, the CSC markers CD15, CD44, CD166, and ALDH1A1 were associated with an aggressive phenotype and were each independently associated with a shorter PFS. The findings of our study are consistent with those of previous studies demonstrating that CSC marker expression is associated with aggressive biological features in various cancers (2628). Collectively, our findings suggest that CSC markers are potential biological markers for PTC.

In a previous study, CD15 positivity was associated with poor survival in anaplastic thyroid cancer (19). Furthermore, Han et al. have demonstrated that CD24 and CD44 are associated with aggressive clinicopathological features in PTC (29). Together, these findings suggest that the expression of CSC markers may be associated with prognosis. In this study, among the five CSC markers analyzed, we found that CD15, CD44, CD166, and ALDH1A1 expression were independently associated with a shorter PFS. These results provide the first evidence that the expression of CSC markers is associated with patient prognosis in PTC. However, in a Cox proportional hazard analysis, only a higher cancer stage, but not CSC marker expression, was related to patient OS. This may be explained by the nature of PTC, which is relatively indolent compared to other malignancies (3, 4).

Several cellular pathways may mediate the link between CSCs and the pathogenesis of PTC, namely the Notch, Hedgehog (Hh), and Wnt/β-catenin pathways. The Notch pathway is known to facilitate the self-renewal of CSCs in various cancers and is involved in the interaction between the tumor stroma and the endothelium of the CSC microenvironment (30, 31). The Hh pathway is reportedly related to the maintenance of CSCs (32), and the activation of this pathway in cancers is associated with the development of resistance to chemotherapy or radiotherapy (33). The Wnt/β-catenin pathway has also been suggested to play an important role in CSC maintenance (34). Interestingly, a previous study has demonstrated that in PTC, the activation of molecules related to the β-catenin pathway in isolated CSCs promoted cancer migration and metastasis (34). Furthermore, loss-of-function mutations in adenomatosus polyposis coli is associated with CSC activation via β-catenin activation and enhancement of KRAS mutation in colorectal cancer tumorigenesis (35). Because RAS mutation has also been identified in PTC as well as BRAF mutation, these findings altogether suggest an association between CSC and PTC (36).

In a correlation analysis, the expression of the CSC markers CD15 and CD24 was significantly correlated with the BRAF V600E mutation status. In PTC, the BRAF V600E mutation is reportedly associated with extrathyroidal extension, multifocality, advanced cancer stage, lymph node metastasis, and recurrence (37). A possible explanation for the association between the BRAF V600E mutation status and the expression of CSC markers may involve c-MYC and HIF-1α, which are downstream molecules of the mitogen-activated protein kinase pathway. In human ovarian cancer cells, HIF-1α promotes CSC-like properties by upregulating SIRT1 expression (38). In addition, c-MYC overexpression leads to a significant increase in CSCs in breast cancer cell lines (39). Interestingly, Han et al. (29) recently showed that the BRAF V600E mutation is associated with CD44 expression in PTC with lymph node metastasis. However, in our study, a significant relationship between CD44 expression and the BRAF V600E mutation status was not observed. This difference among studies can likely be attributed to the difference in antibodies used for immunohistochemistry and differences in patient clinical characteristics; further studies are required to evaluate the association between the BRAF V600E mutation and the expression of CSC markers.

Our study has several important clinical implications. First, our findings suggest that CSC markers may have prognostic value in PTC. Lymph node involvement, infiltrative margins, and lymphovascular invasion are pathological factors traditionally associated with disease recurrence or metastasis in PTC (40). However, other biological markers reflecting disease recurrence or metastasis are largely unclear. Although a majority of PTCs are indolent in nature, the prognosis for PTC with recurrence or metastasis could be unfavorable (41, 42). Accordingly, it is necessary to identify markers for the identification of patients with high risk of disease recurrence or metastasis. Currently, the American Thyroid Association 2009 Risk Stratification System is the most widely accepted recommendation regarding the initial management of thyroid cancer, which includes cancer screening, staging and risk assessment, and treatment (22). Of note, in the present study, the expression of CD15 was significantly higher in the ATA intermediate risk group than in the low risk group. Moreover, CD15, CD44, CD166, and ALDH1A1 positivity were each independently associated with a shorter PFS, independently of higher N and cancer stage as well as other clinicopathological factors. These findings suggest that CSC markers are ancillary biological markers for evaluating patient prognosis in PTC. Second, CSCs may be potential therapeutic targets for the treatment of PTC. The role of CSCs in PTC tumorigenesis remains uncertain. However, owing to their important functions in tumor initiation and the development of treatment resistance, targeting CSCs may be useful for preventing cancer recurrence or metastasis (43, 44). Currently, the first-line therapy for PTC mainly consists of thyroidectomy and radioactive iodine-131 therapy, which targets mature tumor cells; however, in iodine treatment-refractory cases with disease recurrence or metastasis, chemotherapy using tyrosine kinase inhibitors is recommended (45). Nevertheless, considering the aggressive nature and the difficulty in controlling PTC with recurrence or metastasis (41), there is a need for additional therapeutic options. Targeting CSCs in PTC is a promising strategy for preventing tumor growth, invasion, and metastasis; however, this should be confirmed in clinical trials.

There are several limitations of this study. First, we used immunohistochemistry to evaluate the expression of CSC markers; the quantification of results is therefore difficult and there is the potential for inter-observer bias. Second, as a TMA was used rather than whole sections for histological examination, samples may have been influenced by extraction bias during TMA construction. Third, we were not able to evaluate molecular changes or the mechanisms underlying CSC marker expression in thyroid cancer tissues, as we focused on expression at the protein level. Fourth, the study was retrospective and selection bias is possible. Further experiments are therefore necessary to elucidate the expression of CSC markers at the gene level and their contributions to the pathogenesis of the disease.

In conclusion, we found that the expression of the CSC marker CD15 was higher in the ATA intermediate risk group than in the low risk group and that the expression of CSC markers is associated with more aggressive tumor characteristics and poor prognosis, thus providing a rationale to evaluate CSC markers in PTC.

Ethics Statement

This study was approved by the Institutional Review Board of Severance Hospital and conducted in accordance with the principles set forth in the Declaration of Helsinki. The requirement to obtain informed consent was waived from Institutional Review Board of Severance Hospital because this study was performed retrospectively.

Author Contributions

JK and HK analyzed the data, conceived of and designed the experiments. HK performed the experiments. JK contributed reagents, materials, analysis tools. HK wrote the paper. Every author has taken care to ensure the integrity of this work, and the final manuscript has been seen and approved by all authors before submission.

Funding

This study was supported by a grant from the National R&D Program for Cancer Control, Ministry of Health & Welfare, and Republic of Korea (1420080). This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT, and Future Planning (2015R1A1A1A05001209).

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fendo.2019.00523/full#supplementary-material

References

1. GBD 2015 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. (2016) 388:1545–602. doi: 10.1016/S0140-6736(16)31678-6

CrossRef Full Text | Google Scholar

2. Biersack H-J, Grünwald F. Thyroid Cancer. Berlin: Springer Science & Business Media (2005). doi: 10.1007/3-540-27845-1

CrossRef Full Text | Google Scholar

3. Albores-Saavedra J, Henson DE, Glazer E, Schwartz AM. Changing patterns in the incidence and survival of thyroid cancer with follicular phenotype–papillary, follicular, and anaplastic: a morphological and epidemiological study. Endocr Pathol. (2007) 18:1–7. doi: 10.1007/s12022-007-0002-z

PubMed Abstract | CrossRef Full Text | Google Scholar

4. O'Neill CJ, Oucharek J, Learoyd D, Sidhu SB. Standard and emerging therapies for metastatic differentiated thyroid cancer. Oncologist. (2010) 15:146–56. doi: 10.1634/theoncologist.2009-0190

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Campbell LL, Polyak K. Breast tumor heterogeneity: cancer stem cells or clonal evolution? Cell Cycle. (2007) 6:2332–8. doi: 10.4161/cc.6.19.4914

CrossRef Full Text | Google Scholar

6. Shackleton M, Quintana E, Fearon ER, Morrison SJ. Heterogeneity in cancer: cancer stem cells versus clonal evolution. Cell. (2009) 138:822–9. doi: 10.1016/j.cell.2009.08.017

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Clarke MF, Fuller M. Stem cells and cancer: two faces of eve. Cell. (2006) 124:1111–5. doi: 10.1016/j.cell.2006.03.011

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Visvader JE, Lindeman GJ. Cancer stem cells in solid tumours: accumulating evidence and unresolved questions. Nat Rev Cancer. (2008) 8:755–68. doi: 10.1038/nrc2499

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Derwahl M. Linking stem cells to thyroid cancer. J Clin Endocrinol Metab. (2011) 96:610–3. doi: 10.1210/jc.2010-2826

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Monteiro J, Fodde R. Cancer stemness and metastasis: therapeutic consequences and perspectives. Eur J Cancer. (2010) 46:1198–203. doi: 10.1016/j.ejca.2010.02.030

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Lapidot T, Sirard C, Vormoor J, Murdoch B, Hoang T, Caceres-Cortes J, et al. A cell initiating human acute myeloid leukaemia after transplantation into SCID mice. Nature. (1994) 367:645–8. doi: 10.1038/367645a0

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Cabuk D, Yetimoglu E, Simsek T, Gacar G, Subasi C, Canturk Z, et al. The distribution of CD44+/CD24 - cancer stem cells in breast cancer and its relationship with prognostic factors. J Buon. (2016) 21:1121–8.

PubMed Abstract | Google Scholar

13. Park SY, Lee HE, Li H, Shipitsin M, Gelman R, Polyak K. Heterogeneity for stem cell-related markers according to tumor subtype and histologic stage in breast cancer. Clin Cancer Res. (2010) 16:876–87. doi: 10.1158/1078-0432.CCR-09-1532

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Oliveira LR, Jeffrey SS, Ribeiro-Silva A. Stem cells in human breast cancer. Histol Histopathol. (2010) 25:371–85. doi: 10.14670/hh-25.371

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Islam F, Gopalan V, Wahab R, Smith RA, Lam AK. Cancer stem cells in oesophageal squamous cell carcinoma: identification, prognostic and treatment perspectives. Crit Rev Oncol Hematol. (2015) 96:9–19. doi: 10.1016/j.critrevonc.2015.04.007

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Mohamed SY, Kaf RM, Ahmed MM, Elwan A, Ashour HR, Ibrahim A. The prognostic value of cancer stem cell markers (Notch1, ALDH1, and CD44) in primary colorectal carcinoma. J Gastrointest Cancer. (2018). doi: 10.1007/s12029-018-0156-6. [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Sim SH, Kang MH, Kim YJ, Lee KW, Kim DW, Kang SB, et al. P21 and CD166 as predictive markers of poor response and outcome after fluorouracil-based chemoradiotherapy for the patients with rectal cancer. BMC Cancer. (2014) 14:241. doi: 10.1186/1471-2407-14-241

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Shimamura M, Nagayama Y, Matsuse M, Yamashita S, Mitsutake N. Analysis of multiple markers for cancer stem-like cells in human thyroid carcinoma cell lines. Endocr J. (2014) 61:481–90. doi: 10.1507/endocrj.EJ13-0526

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Xu J, Hardin H, Zhang R, Sundling K, Buehler D, Lloyd RV. Stage-specific embryonic antigen-1 (SSEA-1) expression in thyroid tissues. Endocr Pathol. (2016) 27:271–5. doi: 10.1007/s12022-016-9448-1

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Zheng X, Cui D, Xu S, Brabant G, Derwahl M. Doxorubicin fails to eradicate cancer stem cells derived from anaplastic thyroid carcinoma cells: characterization of resistant cells. Int J Oncol. (2010) 37:307–15. doi: 10.3892/ijo_00000679

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Chiacchio S, Lorenzoni A, Boni G, Rubello D, Elisei R, Mariani G. Anaplastic thyroid cancer: prevalence, diagnosis and treatment. Minerva Endocrinol. (2008) 33:341–57.

PubMed Abstract | Google Scholar

22. Haugen BR, Alexander EK, Bible KC, Doherty GM, Mandel SJ, Nikiforov YE, et al. 2015 American thyroid association management guidelines for adult patients with thyroid nodules and differentiated thyroid cancer: the american thyroid association guidelines task force on thyroid nodules and differentiated thyroid cancer. Thyroid. (2016) 26:1–133. doi: 10.1089/thy.2015.0020

PubMed Abstract | CrossRef Full Text | Google Scholar

23. American Joint Committee on C, Amin MB. AJCC Cancer Staging Manual. New York, NY: Springer (2017).

PubMed Abstract | Google Scholar

24. Henry LR, Lee HO, Lee JS, Klein-Szanto A, Watts P, Ross EA, et al. Clinical implications of fibroblast activation protein in patients with colon cancer. Clin Cancer Res. (2007) 13:1736–41. doi: 10.1158/1078-0432.ccr-06-1746

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Bullock M, O'Neill C, Chou A, Clarkson A, Dodds T, Toon C, et al. Utilization of a MAB for BRAF(V600E) detection in papillary thyroid carcinoma. Endocr Relat Cancer. (2012) 19:779–84. doi: 10.1530/ERC-12-0239

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Jung CW, Han KH, Seol H, Park S, Koh JS, Lee SS, et al. Expression of cancer stem cell markers and epithelial-mesenchymal transition-related factors in anaplastic thyroid carcinoma. Int J Clin Exp Pathol. (2015) 8:560–8.

PubMed Abstract | Google Scholar

27. Guo Z, Hardin H, Lloyd RV. Cancer stem-like cells and thyroid cancer. Endocr Relat Cancer. (2014) 21:T285–300. doi: 10.1530/ERC-14-0002

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Malaguarnera R, Morcavallo A, Giuliano S, Belfiore A. Thyroid cancer development and progression: emerging role of cancer stem cells. Minerva Endocrinol. (2012) 37:103–15.

PubMed Abstract | Google Scholar

29. Han SA, Jang JH, Won KY, Lim SJ, Song JY. Prognostic value of putative cancer stem cell markers (CD24, CD44, CD133, and ALDH1) in human papillary thyroid carcinoma. Pathol Res Pract. (2017) 213:956–63. doi: 10.1016/j.prp.2017.05.002

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Pannuti A, Foreman K, Rizzo P, Osipo C, Golde T, Osborne B, et al. Targeting Notch to target cancer stem cells. Clin Cancer Res. (2010) 16:3141–52. doi: 10.1158/1078–0432.CCR-09-2823

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Sosa Iglesias V, Giuranno L, Dubois LJ, Theys J, Vooijs M. Drug resistance in non-small cell lung cancer: a potential for NOTCH targeting? Front Oncol. (2018) 8:267. doi: 10.3389/fonc.2018.00267

PubMed Abstract | CrossRef Full Text | Google Scholar

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

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Sims-Mourtada J, Izzo JG, Apisarnthanarax S, Wu TT, Malhotra U, Luthra R, et al. Hedgehog: an attribute to tumor regrowth after chemoradiotherapy and a target to improve radiation response. Clin Cancer Res. (2006) 12:6565–72. doi: 10.1158/1078–0432.CCR-06-0176

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Todaro M, Iovino F, Eterno V, Cammareri P, Gambara G, Espina V, et al. Tumorigenic and metastatic activity of human thyroid cancer stem cells. Cancer Res. (2010) 70:8874–85. doi: 10.1158/0008–5472.CAN-10-1994

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Moon BS, Jeong WJ, Park J, Kim TI, Min do S, Choi KY. Role of oncogenic K-Ras in cancer stem cell activation by aberrant Wnt/beta-catenin signaling. J Natl Cancer Inst. (2014) 106:djt373. doi: 10.1093/jnci/djt373

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Ferrari SM, Fallahi P, Ruffilli I, Elia G, Ragusa F, Paparo SR, et al. Molecular testing in the diagnosis of differentiated thyroid carcinomas. Gland Surg. (2018) 7(Suppl. 1):S19–s29. doi: 10.21037/gs.2017.11.07

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Liu X, Yan K, Lin X, Zhao L, An W, Wang C, et al. The association between BRAF (V600E) mutation and pathological features in PTC. Eur Arch Otorhinolaryngol. (2014) 271:3041–52. doi: 10.1007/s00405-013-2872-7

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Qin J, Liu Y, Lu Y, Liu M, Li M, Li J, et al. Hypoxia-inducible factor 1 alpha promotes cancer stem cells-like properties in human ovarian cancer cells by upregulating SIRT1 expression. Sci Rep. (2017) 7:10592. doi: 10.1038/s41598-017-09244-8

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Yin S, Cheryan VT, Xu L, Rishi AK, Reddy KB. Myc mediates cancer stem-like cells and EMT changes in triple negative breast cancers cells. PLoS ONE. (2017) 12:e0183578. doi: 10.1371/journal.pone.0183578

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Bates MF, Lamas MR, Randle RW, Long KL, Pitt SC, Schneider DF, et al. Back so soon? Is early recurrence of papillary thyroid cancer really just persistent disease? Surgery. (2018) 163:118–23. doi: 10.1016/j.surg.2017.05.028

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Ito Y, Kudo T, Kobayashi K, Miya A, Ichihara K, Miyauchi A. Prognostic factors for recurrence of papillary thyroid carcinoma in the lymph nodes, lung, and bone: analysis of 5,768 patients with average 10-year follow-up. World J Surg. (2012) 36:1274–8. doi: 10.1007/s00268-012-1423-5

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Voutilainen PE, Multanen MM, Leppaniemi AK, Haglund CH, Haapiainen RK, Franssila KO. Prognosis after lymph node recurrence in papillary thyroid carcinoma depends on age. Thyroid. (2001) 11:953–7. doi: 10.1089/105072501753211028

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Hombach-Klonisch S, Natarajan S, Thanasupawat T, Medapati M, Pathak A, Ghavami S, et al. Mechanisms of therapeutic resistance in cancer (stem) cells with emphasis on thyroid cancer cells. Front Endocrinol. (2014) 5:37. doi: 10.3389/fendo.2014.00037

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Ke CC, Liu RS, Yang AH, Liu CS, Chi CW, Tseng LM, et al. CD133-expressing thyroid cancer cells are undifferentiated, radioresistant and survive radioiodide therapy. Eur J Nucl Med Mol Imaging. (2013) 40:61–71. doi: 10.1007/s00259-012-2242-5

PubMed Abstract | CrossRef Full Text | Google Scholar

45. National Comprehensive Cancer Network. Thyroid Carcinoma (Version 2.2013). Available online at: https://www.nccn.org/store/login/login.aspx?ReturnURL=https://www.nccn.org/professionals/physician_gls/pdf/thyroid.pdf (accessed August 30, 2018).

Google Scholar

Keywords: cancer stem cell, papillary thyroid cancer, prognosis, CD15, thyroid gland

Citation: Kim HM and Koo JS (2019) Immunohistochemical Analysis of Cancer Stem Cell Marker Expression in Papillary Thyroid Cancer. Front. Endocrinol. 10:523. doi: 10.3389/fendo.2019.00523

Received: 28 December 2018; Accepted: 16 July 2019;
Published: 02 August 2019.

Edited by:

Sheue-yann Cheng, National Cancer Institute at Frederick, United States

Reviewed by:

Enke Baldini, Sapienza University of Rome, Italy
Ilaria Ruffilli, University of Pisa, Italy

Copyright © 2019 Kim and Koo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Ja Seung Koo, a2pzMTk3NiYjeDAwMDQwO3l1aHMuYWM=

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