Skip to main content
Download PDF

Difference in distribution profiles between CD163+ tumor-associated macrophages and S100+ dendritic cells in thymic epithelial tumors

Diagnostic Pathology volume 9, Article number: 215 (2014) Cite this article

Abstract

Background

In a number of human malignancies, tumor-associated macrophages (TAMs) are closely involved in tumor progression. On the other hand, dendritic cells (DCs) that infiltrate tumor tissues are involved in tumor suppression. However, there have been very few reports on the distribution profiles of TAMs and DCs in thymic epithelial tumors. We examined the difference in the distribution profiles between TAMs and DCs in thymoma and thymic carcinoma.

Methods

We examined 69 samples of surgically resected thymic epithelial tumors, namely, 16 thymic carcinomas and 53 thymomas, in which we immunohistochemically evaluated the presence of TAMs using CD68 and CD163 as markers and DCs using S100 as the marker in tumor tissue samples in comparison with normal thymic tissues.

Results

The percentage of samples with a large number of CD68+ TAMs was not significantly different between thymic carcinoma and thymoma (7/16 versus 16/53, p = 0.904). However, the percentage of sample with a large number of CD163+ TAMs was significantly higher in thymic carcinoma than in thymoma (15/16 versus 34/53, p = 0.024). In contrast, the percentage of samples with a large number of S100+ DCs was significantly lower in thymic carcinoma than in thymoma (2/16 versus 23/53, p = 0.021).

Conclusions

To the best of our knowledge, we are the first to show a high percentage of CD163+ TAMs and a low percentage of S100+ DCs in thymic carcinoma samples, and our findings may provide an idea for future targeted therapeutic strategies for thymic carcinoma using antibodies that inhibit monocyte differentiation to TAMs, thereby skewing TAMs differentiation toward DCs.

Virtual Slides

The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/13000_2014_215

Background

Macrophages that infiltrate tumor tissues are referred to as tumor-associated macrophages (TAMs) and are closely involved in tumor progression by inducing angiogenesis, immunosuppression, and invasion [1]. The protumoral role of TAMs is supported by many clinical studies of carcinomas, including breast, prostate, endometrial, and bladder carcinomas, and malignant lymphomas, which showed a correlation between a large number of macrophages and poor prognosis [2],[3]. On the other hand, dendritic cells (DCs) that infiltrate tumor tissues are involved in tumor suppression via immune responses. A large number of DCs is related to better survival in a variety of malignant tumors such as melanoma, breast carcinoma, hepatocellular carcinoma, and lung adenocarcinoma [4].

Thymic epithelial tumors are rare mediastinal tumors and can be classified into thymoma and thymic carcinoma. Compared with other organs, the human thymus is a lymphoepithelial organ, and macrophages and DCs, as well as epithelial cells, are the cellular components; however, there have been very few reports [5] concerning TAMs and DCs in thymic epithelial tumors. Here, we immunohistochemically examined tumor tissue samples to characterize TAMs and DCs in thymoma and thymic carcinoma by comparing them with those in normal thymic tissues.

Methods

Patients and samples

In this study, we examined samples from 69 patients diagnosed and treated for primary thymic epithelial tumors at Showa University Northern Yokohama Hospital, Showa University Hospital, and Showa University Fujigaoka Hospital from August 2003 to June 2014. The samples were obtained by surgical resection without neoadjuvant therapy from 16 patients with thymic carcinoma (Figure 1B) (10 males and 6 females; age range, 34–79 years, including no myasthenia gravis patient) and 53 patients with thymoma (Figure 1A) (28 males and 25 females; age range, 30–83 years, including 9 myasthenia gravis patients). Follow-up data were available for 62 patients, including 9 with thymic carcinoma and 53 with thymoma. At the time of analysis, only one of the 9 patients with thymic carcinoma died of disease, one alive with recurrence, and 7 with alive without recurrence, the other hand, only one of the 53 patients with thymoma died of disease, three alive with recurrence and 49 alive without recurrence (Table 1). All of the tissue samples were fixed in 20% formalin, routinely processed, embedded in paraffin wax, cut into 3-μm-thick sections, and stained with hematoxylin and eosin (HE). Thymoma was the diagnosis when immature T cell markers, such as CD99 and TdT, were stained in the underlying lymphocytes, and thymic carcinoma was the diagnosis when CD5 and c-kit were stained in epithelial cells. This study was approved by the Ethics Committee of Showa University Northern Yokohama Hospital (No.#1406-02).

Figure 1
figure 1

Photomicrographs of thymic lesions. A: High-power view of type B2 thymoma showing polygonal, medium-sized tumor cells associated with lymphocytes (H&E staining). B: High-power view of thymic carcinoma showing large polyhedral tumor cells with eosinophillic cytoplasm and apparent nuclei (H&E staining). C: High-power view of type B2 thymoma showing 1.50% of cells immunohistochemically stained positive for CD68 (immunohistochemistry). D: High-power view of thymic carcinoma showing 1.16% of cells immunohistochemically stained positive for CD68 (immunohistochemistry). E: High-power view of type B2 thymoma showing 6.95% of cells immunohistochemically stained positive for CD163 (immunohistochemistry). F: High-power view of thymic carcinoma showing 35% of cells immunohistochemically stained positive for CD163 (immunohistochemistry). G: High-power view of type B2 thymoma showing 2.83% of cells immunohistochemically stained positive for S100 (immunohistochemistry). H: High-power view of thymic carcinoma showing 1.30% of cells immunohistochemically stained positive for S100 (immunohistochemistry).

Full size image
Table 1 Characteristics of patients with thymoma and thymic carcinoma
Full size table

Immunohistochemical staining

A list of antibodies with their clones, sources, dilutions, antigen retrieval methods, and incubation durations is presented in Table 2. After endogenous peroxidase activity was inhibited in the prepared sections using hydrogen peroxide solution, the sections were incubated with the appropriate primary antibody. A secondary antibody was raised against biotinylated immunoglobulin and conjugated with avidin-horseradish peroxidase (HRP). The staining of each sample was visualized using a Ventana I-View DAB universal kit (Roche, Tokyo, Japan). The antibody-antigen reaction was enhanced using copper sulfate, after nuclear staining with Mayer’s hematoxylin. Positive controls for the antibodies were prepared in accordance with the manufacturer’s instruction.

Table 2 Antibodies used for immunohistochemical analysis
Full size table

Evaluation of immunohistochemical staining

For the enumeration of CD68+, CD163+ TAMs and S100+ DCs, ten representative fields were examined at high-power magnification (400×). Only CD68+, CD163+ cells showing a macrophagic morphology, and only S100+ cells showing a dendritic morphology were counted. The percentages of positively stained TAMs and DCs were calculated in relation to overall cellularity [6]-[8] using hard-copy photomicrographs. The cells were counted in duplicate by two different pathologists (M.O. and T.K.) without knowledge of the patients’ clinical data. The obtained data were then averaged and defined as the TAM and DC contents of the samples. Normal thymic samples obtained distal to the tumor site from 34 patients (18 males and 16 females; age range, 38-83 years) were used as the controls. The median percentage of markers-positive macrophages or DCs in normal thymic samples was used as the cut-off point to categorize the thymic epithelial tumor samples into the group with a low percentage of marker-positive TAMs of DCs and that with a high percentage of these cells.

Statistical analysis

The variables measured in this study were tested for associations using the Chi-squared test Fisher’s exact probability test and Mann-Whitney’s U test. A p value <0.05 was considered statistically significant.

Results

CD68+ TAM

The percentage of CD68+ macrophages varied from 0.11% to 5.29% with a median of 1.31% in normal thymic samples. The percentage of CD68+ TAMs varied from 0.13% to 7.54% with a median of 0.96% in thymoma samples (Figure 1C), and 0.00% to 7.91% with a median of 1.08% in thymic carcinoma samples (Figure 1D). Regarding the positivity for CD68, the thymoma and thymic carcinoma samples were categorized into two groups on the basis of the 1.31% cut-off point that indicates the median in normal thymic samples. A high percentage of CD68+ TAMs was observed in 43.8% (7/16) of thymic carcinoma samples and 30.2% (16/53) of thymoma samples (including 3 type A, 3 type AB, 5 type B1, 2 type B2 and 3 type B3), which were not statistically significantly different (p = 0.904) (Table 3a).

Table 3 Percentage of samples showing CD68, CD163, and S100 expression in thymoma and thymic carcinoma
Full size table

The correlations between percentage of CD68+ TAMs and the stage categories in thymoma and thymic carcinoma were shown in Table 4, which were not statistically significantly different (p = 0.853 and p = 0.262) (Table 4a).

Table 4 The correlations between percentage of samples showing CD68, CD163, S100 expression and the stage categories in thymoma and thymic carcinoma
Full size table

CD163+ TAM

The percentage of CD163+ macrophages varied from 4.95% to 10.4% with a median of 7.28% in normal thymic samples. The percentage of CD163+ TAMs varied from 4.38% to 23.98% with a median of 9.23% in thymoma samples (Figure 1E), and 6.53% to 33.26% with a median of 14.55% in thymic carcinoma samples (Figure 1F). Regarding the positivity for CD163, the thymoma and thymic carcinoma samples were categorized into two groups on the basis of the 7.28% cut-off point that indicates the median in normal thymic samples. A high percentage of CD163+ TAMs was observed in 93.8% (15/16) of thymic carcinoma samples and 64.2% (34/53) of thymoma samples (including 2 type A, 12 type AB, 6 type B1, 10 type B2 and 4 type B3), which were statisfically significantly different (p = 0.024) (Table 3b). Moreover, the percentage of samples with a large number of CD163+ TAMs was higher in the thymic carcinoma samples than in the thymoma samples.

The correlations between percentage of CD163+ TAMs and the stage categories in thymoma and thymic carcinoma were shown in Table 4, which were not statistically significantly different (p = 0.754 and p = 0.138) (Table 4b).

S100+ DCs

The percentage of S100+ DCs varied from 0.41% to 5.02% with a median of 1.50% in normal thymic samples, 0.13% to 4.45% with a median of 1.28% in thymoma samples (Figure 1G), and 0.06% to 3.99% with a median of 0.79% in thymic carcinoma samples (Figure 1H). Regarding the positivity for S100, the thymoma and thymic carcinoma samples were categorized into two groups on the basis of the 1.50% cut-off point that indicates the median in normal thymic samples. A high percentage of S100+ DCs was observed in 12.5% (2/16) of thymic carcinoma samples and 43.4% (23/53) of thymoma samples (including 1 type A, 4 type AB, 5 type B1, 9 type B2 and 4 type B3), which were statistically significantly different (p = 0.021) (Table 3c). Moreovers, the percentage of samples with a large number of S100+ DCs was higher in the thymoma samples than in the thymic carcinoma samples.

The correlations between percentage of S100+ DCs and the stage categories in thymoma and thymic carcinoma were shown in Table 4, which were not statistically significantly different (p = 0.279 and p = 0.691) (Table 4c).

Discussion

Macrophages are found in the cellular microenvironment of many carcinomas, and these TAMs represent a heterogeneous population of functionally distinct cells [2] that may affect the neoplastic process. Different phenotypes, as well as different cytokine secretion profiles, have suggested a distinction between ‘proinflammatory M1’ and ‘immunosuppressive M2’ macrophages [9]. Although it is now acknowledged that the binary M1/M2 model is oversimplified [10],[11] and that there is a spectrum of intermediate macrophage phenotypes in response to various local microenvironmental signals [12],[13], TAMs most often seem to exhibit M2 features [14]. However, at present, there is no single marker for macrophage polarization [15].

In the tumor microenvironment, TAMs play a key role in carcinoma-associated inflammation and affect the progression and prognosis of various tumor types [16],[17] other than colorectal-gastric carcinoma and osteosarcoma [1], and a dense macrophage infiltrate is associated with enhanced nodal metastases, distant metastases, and reduced recurrence-free survival [18]. On the other hand, there have been only a few reports comparing the TAMs in malignant tumors with those in benign tumors arising in the same organs. In ovarian tumors, the number of CD68+, CD163+ TAMs is reported to show a stepwise increase from benign, borderline to malignant [19]. In thyroid tumors, the number of CD68+ TAMs is also higher in papillary carcinoma than in follicular adenomas [20]. In thymic tumor, although there has been no report comparing TAMs between thymoma and thymic carcinoma, in this study, we confirmed previous findings for thymic epithelial tumor. Although the percentage of CD68+ TAMs was not significantly different between thymoma and thymic carcinoma, in thymic carcinoma, which is associated with more frequent invasive growth and distant metastases, a higher percentage of CD163+ TAMs was found. These observations suggest that malignant tumors harbor a higher percentage of CD163+ TAMs than benign tumors in their microenvironment, which is a reasonable finding considering the roles of TAMs in malignant tumors.

CD68 is a glycoprotein used as a macrophage marker but is nonspecific. On the other hand, CD163 is a member of the scavenger receptor family and is specific for macrophages [7]. Immunohistochemical studies of TAMs demonstrated the superiority of CD163 over CD68 in predicting the clinical outcome [17]-[19]. We found a higher percentage of CD163+ TAMs than of CD68+ TAMs in both thymoma and thymic carcinoma samples, which was consistent with previous observations in Hodgkin’s lymphoma [7], malignant melanomas [20], and leiomyosarcomas [21]. Thus, the use of CD68 may lead to underestimation of the true percentage of TAMs [18].

DCs, i.e., specialized antigen-presenting cells, play a critical role in innate and adaptive immune responses [22]. In the tumor microenvironment, DCs are the most potent antigen-presenting cells that induce antigen-specific immune responses by engulfing dying tumor cells [23]. Among several DC markers, many investigators have used S100 as a valuable marker of DCs, because S100 show adequate immunohistochemical staining on paraffin tissue sections [24]. Several studies showed that the number of S100+ DCs in colon carcinoma [25], human gastric carcinoma [26], and esophageal carcinoma [27] negatively correlates with lymph node metastases, size of tumor, and survival time, that is, the larger the number of DCs, the better the patient’s prognosis. In addition to these clinicopathological parameters, a recent study of uterine endometrioid adenocarcinoma demonstrated the inverse correlation between a large number of S100+ DCs and the histological grade for malignant potential [28].

S100 can also be used as a useful marker of thymic DCs [29]-[31]. In thymic tumor, although there has been no report showing the relationships between the percentage of DCs and prognosis, the percentage of S100+ DCs was found to be lower in thymic carcinoma than in thymoma [5]. On the other hand, using fascin as a mature DC marker, DCs were reported to appear more frequently in benign thymic neoplasms [32]. In this study, we also confirmed the previous finding of a lower percentage of S100+ DCs in thymic carcinoma than in thymoma, indicating that malignant thymic epithelial tumor is associated with a paucity of DCs in their microenvironment.

Few studies examining the interaction between TAMs and DCs in malignant tumor are available. In Hodgkin’s lymphoma cases, a high percentage of TAMs and a low percentage of DCs were reported to be associated with adverse prognostic parameters [4]. In a comparison between benign and malignant skin tumors, malignant transformation of keratinocytes was found to be associated with infiltration of TAMs and loss of DCs [33]. Similarly, we found the same correlation, and this is the first report showing the association of thymic carcinoma with the increase in the percentage of TAMs and loss of DCs. Regarding the differentiation of monocytes, the CD115 (macrophage colony-stimulating factor receptor or CSF-1 receptor) pathway stimulates their survival and differentiation into macrophages rather than into DCs [34],[35], and the CD115/CSF-1 pathway is reported to play a central role in tumor progression through its effects on the differentiation of TAMs [36]. Concerning the therapeutic aspects focusing on TAMs and DCs, recent studies revealed that some anti-CD115 monoclonal antibodies inhibit monocyte differentiation to TAMs, thereby skewing TAM differentiation toward DCs, and contributing to the generation of more efficient anti-tumor immune responses [37]. This study demonstrated an idea for future targeted therapeutic strategies for thymic carcinoma using such antibodies competing with CSF-1 binding to CD115.

Conclusions

We examined the difference in the distribution profiles between TAMs and DCs in thymic epithelial tumors, and found a higher percentage of CD163+ TAMs and a lower percentage of S100+ DCs in thymic carcinoma tissues than in thymoma tissues. Our findings may provide an idea for future targeted therapeutic strategies for thymic carcinoma using antibodies that inhibit monocyte differentiation to TAMs, thereby skewing TAM differentiation toward DCs.

References

  1. Komohara Y, Jinushi M, Takeya M: Clinical significance of macrophage heterogeneity in human malignant tumors. Cancer Sci. 2014, 105: 1-8. 10.1111/cas.12314.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  2. Lewis CE, Pollard JW: Distinct role of macrophages in different tumor microenvironments. Cancer Res. 2006, 66: 605-612. 10.1158/0008-5472.CAN-05-4005.

    Article  PubMed  CAS  Google Scholar 

  3. Lin ZX, Bai B, Cai QC, Cai QQ, Wang XX, Wu XY, Huang HQ: High numbers of tumor-associated macrophages correlate with poor prognosis in patients with mature T- and natural killer cell lymphomas. Med Oncol. 2012, 29: 3522-3528. 10.1007/s12032-012-0244-6.

    Article  PubMed  Google Scholar 

  4. Abdou AG, Asaad NY, Loay I, Shabaan M, Badr N: The prognostic role of tumor-associated macrophages and dendritic cells in classic Hodgkin's lymphoma. J Environ Pathol Toxicol Oncol. 2013, 32: 289-305. 10.1615/JEnvironPatholToxicolOncol.2013007930.

    Article  PubMed  CAS  Google Scholar 

  5. Kondo K, Mukai K, Sato Y, Matsuno Y, Shimosato Y, Monden Y: An immunohistochemical study of thymic epithelial tumors. III. The distribution of interdigitating reticulum cells and S-100 beta-positive small lymphocytes. Am J Surg Pathol. 1990, 14: 1139-1147. 10.1097/00000478-199012000-00006.

    Article  PubMed  CAS  Google Scholar 

  6. Azambuja D, Natkunam Y, Biasoli I, Lossos IS, Anderson MW, Morais JC, Spector N: Lack of association of tumor-associated macrophages with clinical outcome in patients with classical Hodgkin's lymphoma. Ann Oncol. 2012, 23: 736-742. 10.1093/annonc/mdr157.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  7. Harris JA, Jain S, Ren Q, Zarineh A, Liu C, Ibrahim S: CD163 versus CD68 in tumor associated macrophages of classical Hodgkin lymphoma. Diagn Pathol. 2012, 30: 7-12.

    Google Scholar 

  8. Yoon DH, Koh YW, Kang HJ, Kim S, Park CS, Lee SW, Suh C, Huh J: CD68 and CD163 as prognostic factors for Korean patients with Hodgkin lymphoma. Eur J Haematol. 2012, 88: 292-305. 10.1111/j.1600-0609.2011.01731.x.

    Article  PubMed  CAS  Google Scholar 

  9. Geissmann F, Gordon S, Hume DA, Mowat AM, Randolph GJ: Unravelling mononuclear phagocyte heterogeneity. Nat Rev Immunol. 2010, 10: 453-460. 10.1038/nri2784.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  10. Mosser DM, Edwards JP: Exploring the full spectrum of macrophage activation. Nat Rev Immunol. 2008, 8: 958-969. 10.1038/nri2448.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  11. Lawrence T, Natoli G: Transcriptional regulation of macrophage polarization: enabling diversity with identity. Nat Rev Immunol. 2011, 11: 750-761. 10.1038/nri3088.

    Article  PubMed  CAS  Google Scholar 

  12. Tan KL, Scott DW, Hong F, Kahl BS, Fisher RI, Bartlett NL, Advani RH, Buckstein R, Rimsza LM, Connors JM, Steidl C, Gordon LI, Horning SJ, Gascoyne RD: Tumor-associated macrophages predict inferior outcomes in classic Hodgkin lymphoma: a correlative study from the E2496 intergroup trial. Blood. 2012, 120: 3280-3287. 10.1182/blood-2012-04-421057.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  13. Stables MJ, Shah S, Camon EB, Lovering RC, Newson J, Bystrom J, Farrow S, Gilroy DW: Transcriptomic analyses of murine resolution-phase macrophages. Blood. 2011, 118: e192-e208. 10.1182/blood-2011-04-345330.

    Article  PubMed  CAS  Google Scholar 

  14. Sica A, Schioppa T, Mantovani A, Allavena P: Tumour-associated macrophages are a distinct M2 polarised population promoting tumour progression: potential targets of anti-cancer therapy. Eur J Cancer. 2006, 42: 717-727. 10.1016/j.ejca.2006.01.003.

    Article  PubMed  CAS  Google Scholar 

  15. Cook J, Hagemann T: Tumour-associated macrophages and cancer. Curr Opin Pharmacol. 2013, 13: 595-601. 10.1016/j.coph.2013.05.017.

    Article  PubMed  CAS  Google Scholar 

  16. Pedersen MB, Danielsen AV, Hamilton-Dutoit SJ, Bendix K, Nørgaard P, Møller MB, Steiniche T, d'Amore F: High intratumoral macrophage content is an adverse prognostic feature in anaplastic large cell lymphoma.Histopathology 2014, 4:doi:10.,

  17. Behnes CL, Bremmer F, Hemmerlein B, Strauss A, Ströbel P, Radzun HJ: Tumor-associated macrophages are involved in tumor progression in papillary renal cell carcinoma. Virchows Arch. 2014, 464: 191-196. 10.1007/s00428-013-1523-0.

    Article  PubMed  CAS  Google Scholar 

  18. Barros MH, Hauck F, Dreyer JH, Kempkes B, Niedobitek G: Macrophage polarisation: an immunohistochemical approach for identifying M1 and M2 macrophages. PLoS One. 2013, 8: e80908-10.1371/journal.pone.0080908.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Zaki MA, Wada N, Ikeda J, Shibayama H, Hashimoto K, Yamagami T, Tatsumi Y, Tsukaguchi M, Take H, Tsudo M, Morii E, Aozasa K: Prognostic implication of types of tumor-associated macrophages in Hodgkin lymphoma. Virchows Arch. 2011, 459: 361-366. 10.1007/s00428-011-1140-8.

    Article  PubMed  CAS  Google Scholar 

  20. Jensen TO, Schmidt H, Moller HJ, Høyer M, Maniecki MB, Sjoegren P, Christensen IJ, Steiniche T: Macrophage markers in serum and tumor have prognostic impact in American joint committee on cancer stage I⁄II melanoma. J Clin Oncol. 2009, 27: 3330-3337. 10.1200/JCO.2008.19.9919.

    Article  PubMed  Google Scholar 

  21. Lee CH, Espinosa I, Vrijaldenhoven S, Subramanian S, Montgomery KD, Zhu S, Marinelli RJ, Peterse JL, Poulin N, Nielsen TO, West RB, Gilks CB, van de Rijn M: Prognostic significance of macrophage infiltration in leiomyosarcomas. Clin Cancer Res. 2008, 14: 1423-1430. 10.1158/1078-0432.CCR-07-1712.

    Article  PubMed  CAS  Google Scholar 

  22. Banchereau J, Steinman RM: Dendritic cells and the control of immunity. Nature. 1998, 392: 245-252. 10.1038/32588.

    Article  PubMed  CAS  Google Scholar 

  23. Lespagnard L, Gancberg D, Rouas G, Leclercq G, De Saint-Aubain Somerhausen N, Di Leo A, Piccart M, Verhest A, Larsimont D: Tumor-infiltrating dendritic cells in adenocarcinomas of the breast: a study of 143 neoplasms with a correlation to usual prognostic factors and to clinical outcome. Int J Cancer. 1999, 84: 309-314. 10.1002/(SICI)1097-0215(19990621)84:3<309::AID-IJC19>3.0.CO;2-3.

    Article  PubMed  CAS  Google Scholar 

  24. Honig A1, Schaller N, Dietl J, Backe J, Kammerer U: S100 as an immunohistochemically-detected marker with prognostic significance in endometrial carcinoma. Anticancer Res. 2005, 25: 1747-1753.

    PubMed  CAS  Google Scholar 

  25. Gulubova MV, Ananiev JR, Vlaykova TI, Yovchev Y, Tsoneva V, Manolova IM: Role of dendritic cells in progression and clinical outcome of colon cancer. Int J Colorectal Dis. 2012, 27: 159-169. 10.1007/s00384-011-1334-1.

    Article  PubMed  Google Scholar 

  26. Ishigami S, Ueno S, Matsumoto M, Okumura H, Arigami T, Uchikado Y, Setoyama T, Arima H, Sasaki K, Kitazono M, Shinchi H, Kijima Y, Natsugoe S: Prognostic value of CD208-positive cell infiltration in gastric cancer. Cancer Immunol Immunother. 2010, 3: 389-395. 10.1007/s00262-009-0758-8.

    Article  Google Scholar 

  27. Kikuchi K, Kusama K, Taguchi K, Ishikawa F, Okamoto M, Shimada J, Sakashita H, Yamamo Y: Dendritic cells in human squamous cell carcinoma of the oral cavity. Anticancer Res. 2002, 2A: 545-557.

    Google Scholar 

  28. Lee YJ, Kang SY, Jo MS, Suh DS, Kim KH, Yoon MS: S100 expression in dendritic cells is inversely correlated with tumor grade in endometrial carcinoma. Obstet Gynecol Sci. 2014, 57: 201-207. 10.5468/ogs.2014.57.3.201.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Savchenko AS, Hasegawa G, Naito M: Development and maturation of thymic dendritic cells during human ontogeny. Cell Tissue Res. 2006, 325: 455-460. 10.1007/s00441-006-0202-8.

    Article  PubMed  Google Scholar 

  30. Wakimoto T, Tomisaka R, Nishikawa Y, Sato H, Yoshino T, Takahashi K: Identification and characterization of human thymic cortical dendritic macrophages that may act as professional scavengers of apoptotic thymocytes. Immunobiology. 2008, 213: 837-847. 10.1016/j.imbio.2008.07.032.

    Article  PubMed  CAS  Google Scholar 

  31. Papoudou-Bai A, Bai M, Doukas M, Stefanaki K, Spyridonos P, Karatzias G, Barbouti A, Galani V, Kanavaros P: Immunohistological characterization of thymic dendritic cells. In Vivo. 2012, 26: 985-992.

    PubMed  CAS  Google Scholar 

  32. Sato J, Fujiwara M, Kawakami T, Sumiishi A, Sakata S, Sakamoto A, Kurata A: Fascin expression in dendritic cells and tumor epithelium in thymoma and thymic carcinoma. Oncol Lett. 2011, 2: 1025-1032.

    PubMed  PubMed Central  Google Scholar 

  33. Takahara M, Chen S, Kido M, Takeuchi S, Uchi H, Tu Y, Moroi Y, Furue M: Stromal CD10 expression, as well as increased dermal macrophages and decreased Langerhans cells, are associated with malignant transformation of keratinocytes. J Cutan Pathol. 2009, 36: 668-674. 10.1111/j.1600-0560.2008.01139.x.

    Article  PubMed  Google Scholar 

  34. Becker S, Warren MK, Haskill S: Colony-stimulating factor-induced monocyte survival and differentiation into macrophages in serum-free cultures. J Immunol. 1987, 139: 3703-3709.

    PubMed  CAS  Google Scholar 

  35. Chomarat P, Banchereau J, Davoust J, Palucka AK: IL-6 switches the differentiation of monocytes from dendritic cells to macrophages. Nat Immunol. 2000, 1: 510-514. 10.1038/82763.

    Article  PubMed  CAS  Google Scholar 

  36. Lin EY, Nguyen AV, Russell RG, Pollard JW: Colon-ystimulating factor 1 promotes progression of mammary tumors to malignancy. J Exp Med. 2001, 193: 727-740. 10.1084/jem.193.6.727.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  37. Haegel H, Thioudellet C, Hallet R, Geist M, Menguy T, Le Pogam F, Marchand JB, Toh ML, Duong V, Calcei A, Settelen N, Preville X, Hennequi M, Grellier B, Ancian P, Rissanen J, Clayette P, Guillen C, Rooke R, Bonnefoy JY: A unique anti-CD115 monoclonal antibody which inhibits osteolysis and skews human monocyte differentiation from M2-polarized macrophages toward dendritic cells. MAbs. 2013, 5: 736-747. 10.4161/mabs.25743.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Clinico-diagnostic Pathology, Showa University Northern Yokohama Hospital, 35-1 Chigasaki-chuo, Tsuzuki-ku, Yokohama, 224-8503, Japan

    Mutsuko Omatsu, Toshiaki Kunimura, Tetsuya Mikogami & Akira Shiokawa

  2. Department of Clinico-diagnostic Pathology, Showa University School of Medicine, Tokyo, Japan

    Tomoko Nagai

  3. Respiratory Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan

    Atsuko Masunaga, Akihiko Kitami & Takashi Suzuki

  4. Division of Thoracic and Cardiovascular Surgery, Department of Surgery, Showa University School of Medicine, Tokyo, Japan

    Mitsutaka Kadokura

Authors
  1. Mutsuko Omatsu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Toshiaki Kunimura
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Tetsuya Mikogami
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Akira Shiokawa
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Tomoko Nagai
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Atsuko Masunaga
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Akihiko Kitami
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Takashi Suzuki
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Mitsutaka Kadokura
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mutsuko Omatsu.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

MO and TK designed the study, analyzed the data and drafted the manuscript. TM and AS assisted with the design of the study. TN carried out the immunohistochemistry. AM, AK, TS and MK collected the patients samples. All authors read and approved the final manuscript.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Omatsu, M., Kunimura, T., Mikogami, T. et al. Difference in distribution profiles between CD163+ tumor-associated macrophages and S100+ dendritic cells in thymic epithelial tumors. Diagn Pathol 9, 215 (2014). https://doi.org/10.1186/s13000-014-0215-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13000-014-0215-7

Keywords

Diagnostic Pathology

ISSN: 1746-1596

Contact us