Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Tumor-Associated Macrophages (TAMs) Form an Interconnected Cellular Supportive Network in Anaplastic Thyroid Carcinoma

Abstract

Background

A relationship between the increased density of tumor-associated macrophages (TAMs) and decreased survival was recently reported in thyroid cancer patients. Among these tumors, anaplastic thyroid cancer (ATC) is one of the most aggressive solid tumors in humans. TAMs (type M2) have been recognized as promoting tumor growth. The purpose of our study was to analyze with immunohistochemistry the presence of TAMs in a series of 27 ATC.

Methodology/Principal Findings

Several macrophages markers such as NADPH oxidase complex NOX2-p22phox, CD163 and CD 68 were used. Immunostainings showed that TAMs represent more than 50% of nucleated cells in all ATCs. Moreover, these markers allowed the identification of elongated thin ramified cytoplasmic extensions, bestowing a “microglia-like” appearance on these cells which we termed “Ramified TAMs” (RTAMs). In contrast, cancer cells were totally negative. Cellular stroma was highly simplified since apart from cancer cells and blood vessels, RTAMs were the only other cellular component. RTAMs were evenly distributed and intermingled with cancer cells, and were in direct contact with other RTAMs via their ramifications. Moreover, RTAMs displayed strong immunostaining for connexin Cx43. Long chains of interconnected RTAMs arose from perivascular clusters and were dispersed within the tumor parenchyma. When expressed, the glucose transporter Glut1 was found in RTAMs and blood vessels, but rarely in cancer cells.

Conclusion

ATCs display a very dense network of interconnected RTAMs in direct contact with intermingled cancer cells. To our knowledge this is the first time that such a network is described in a malignant tumor. This network was found in all our studied cases and appeared specific to ATC, since it was not found in differentiated thyroid cancers specimens. Taken together, these results suggest that RTAMs network is directly related to the aggressiveness of the disease via metabolic and trophic functions which remain to be determined.

Introduction

Anaplastic thyroid carcinoma (ATC) represents less than 5% of all thyroid cancers and is one of the most aggressive malignancies in humans [1][3]. Despite multimodality therapeutic approaches, ATC still carries a dismal prognosis and new treatment, based on a better knowledge of the pathogenesis and progression of this cancer, are therefore required.

Anaplastic carcinoma arises from thyroid follicular cells and is characterized by atypical cells with large, bizarre nuclei with numerous atypical mitotic figures that resemble polymorphic mesenchymal sarcoma. There is no thyroid or epithelial differentiation. This explains why the macrophage component, termed “tumor-associated macrophages”, (TAMs), which is closely mixed with cancer cells, was only recently recognized [4], [5]. Among TAMs, M1 macrophages which display “classic” activation are separated from “alternative” M2 macrophages [6][10]. It is well established that the main function of M1 is phagocytosis in response to bacterial stimuli and/or Th1 cytokines while the main function of M2 is immunosuppression and trophic activity in response to Th2 cytokines (e.g. IL10, TGFbeta) [11]. In thyroid cancers, an increased density of TAMs was associated with decreased survival, reflecting their M2 nature [5].

In the present study, we report on a very dense and diffuse intra-tumor infiltration of ATC by TAMs. These TAMs organize themselves in an interconnected network in close contact with cancer cells and blood vessels.

Material and Methods

Clinical and Histological data

Twenty-seven patients who were treated for ATC at Institut Gustave-Roussy from 1998 to 2007 were identified. All these patients died within 1 year after diagnosis. Routine histological sections stained with hematoxylin and eosin were reviewed to confirm the diagnosis and corresponding paraffin-embedded tissue blocks were obtained for immunohistochemical studies. The protocol was approved by Institutional Review Board at the Institut Gustave-Roussy and all patients gave their written informed consent.

Immunohistochemistry

Immunohistochemical analyses were performed on serial 5 microns thick sections prepared from selected paraffin-embedded tissue with primary antibodies directed against the following proteins: NOX2, P22phox, CD163, CD68, Cx43, Glut1, CD34, Alpha- Smooth Muscle Actin, CD3 and Ki67.

  1. - NOX2 is often referred to as the phagocyte NADPH oxidase and is still widely considered to have a limited, essentially phagocyte-specific tissue expression [12].
  2. - P22phox forms a heterodimer with NOX2 that is located at the cell surface membrane [12].
  3. - CD163 is expressed on most subpopulations of mature tissue macrophages [13] and is linked to anti-inflammatory macrophage functions [14].
  4. - CD68 has long been used as a specific macrophage marker [15], but is currently no longer considered a specific marker for macrophages but rather an antigen indicative of lysosomes [16].
  5. - Cx43 (connexin 43) is expressed by several types of cells including macrophages [17], [18] and is one of 21 members of the human connexin family. It is the most widely distributed gap junction isoform and enables the intercellular passage of numerous small molecules ranging from ions to much larger metabolites [18][20]. Subcellular Cx43 immunostaining correlates with protein synthesis in endoplasmic reticulum, the golgi apparatus, cytoplasmic transport in small vesicles and finally on cell surface membrane [21], [22].
  6. - Glut-1 is a glucose transporter that mediates cellular glucose uptake. It is inducible in monocytes and macrophages [23].
  7. - CD34 is a marker of vascular endothelial cells [24].
  8. - Alpha-Smooth Muscle Actin (Alpha-SMA) is present in “activated fibroblasts” or myofibroblasts [25]
  9. - CD3 recognizes lymphocyte T cells [26].
  10. - Ki67 nuclear expression is associated with cell proliferation [27].

The origin, characteristics and conditions of use of these antibodies are summarized in table 1.

thumbnail
Table 1. Immunohistochemistry: Antibodies, origins and procedures.

https://doi.org/10.1371/journal.pone.0022567.t001

Determination of percentage of TAMs among nucleated cells

TAMs were counted by surface unit of histological section on digitalized photos with the same format and at the same original magnification (×100) with the help of ImageJ software (National Center for Biotechnology Information). For each case, four microscopic fields were digitalized; two with NOX2 immunostaining and two with CD163 immunostaining. The number and percentage of stained and unstained nucleated cells were calculated. To avoid any overestimation of the number of TAMs which could have been due to extended cytoplasmic ramifications, we counted only cells with a visible nucleus (Figs. 13, S1).

thumbnail
Figure 1. CD163, NOX2, CD68 and P22phox expressions in ATC.

A) CD163. Original magnification: ×50. Presence of a very high density of positive RTAMs diffusely dispersed among negative cancer cells. B) NOX2. Original magnification: ×100. Positive RTAMs are deeply intermingled with negative cancer cells. Note inside RTAMs the presence of ovoid nuclei (white arrows) that are much smaller and more regular than those of cancer cells (black arrows). C) CD68. Original magnification: ×200. Note that immunostained cytoplasmic extensions of TAMs with granular features are in close contact with negative cancer cells (black arrows). D) P22phox. Original magnification: ×400. Note that the nuclei of cancer cells (black arrows) are five to ten-folds larger than RTAM nuclei (white arrows). All markers are strongly positive in RTAMs and negative in cancer cells and allow a clear distinction between these two cell types. The overall picture is the one of a chequered pattern with an even repartition of TAMs and cancer cells.

https://doi.org/10.1371/journal.pone.0022567.g001

thumbnail
Figure 2. Morphologic comparison between RTAM (M2) and “classic” macrophage (M1).

A) CD163. Original magnification: ×400. Positive RTAM (M2) with irregular cytoplasmic extensions exceeding 100 microns. Note very thin cytoplasmic processes (black arrows) with filipodia-like or nanotube-like appearances connecting RTAMs to other RTAMs or to cancer cells (K). Note the difference in the size of the RTAM nucleus (white arrow) and the size of cancer cell nuclei (K). Note that one cancer cell displays faint cytoplasmic staining (arrow head) suggesting the passage of antigenic material (CD163?) from the RTAM to the cancer cell. B) CD68. Original magnification:×400. “classic” M1 macrophage with a round shape and amoeboid appearance, without cytoplasmic and/or filipodia extensions. Presence of phagocytosis (arrow).

https://doi.org/10.1371/journal.pone.0022567.g002

thumbnail
Figure 3. Topological relationship between RTAMs and cancer cells.

CD163 immunostaining clearly underlines the close relations between cytoplasmic extensions of RTAMs and large cancer cells. Note that RTAMs nuclei (arrows) are much smaller than those of cancer cells. Original magnification: ×400.

https://doi.org/10.1371/journal.pone.0022567.g003

Determination of percentage of cancer cells and TAMs in the cellular cycle by double immunostaining with Ki67 and P22phox antibodies

See Text S1.

Transmission electron microscopy

Three cases of ATC were obtained for electron microscopy study (See Text S1).

Results

Clinical data

Gender, age at the time of the diagnosis and survival of each patient are summarized in table 2.

thumbnail
Table 2. Percentage of RTAMs and proliferative rates of RTAMs and cancer cells.

https://doi.org/10.1371/journal.pone.0022567.t002

NOX2, CD163 and CD68 immunostainings

TAMs displayed strong staining for NADPH oxidase NOX2, CD163 and CD 68 which clearly contrasted with cancer cells that were entirely negative for each of these markers. All ATC cases displayed a high density of TAMs that were diffusely dispersed within the tumor (Fig. 1). Furthermore TAMs and cancer cells could also be distinguished on morphological grounds. TAMs nuclei were small, regular and ovoid, whereas cancer cell nuclei were 5 to 10-fold larger, irregular and dystrophic (Figs. 1, 2A and 3). At the subcellular level, the strong staining obtained with all these markers, allowed us to study their cytoplasmic extensions. Three types of subcellular stainings were observed: a/ diffuse cytoplasmic staining ; b/ granular staining with small vesicles located in the cell body and/or in the cytoplasmic ramifications; c/ plasma membrane staining (Figs. 1,3 and S2). All these three types of staining were found in all the tumors according to the observed area.

P22phox immunostaining

p22phox is required for the formation of a functionally active NADPH oxidase. Strong p22phox staining, similar to NOX2 staining, was found in all ATCs (Fig. 1D). However, in some areas of few cases, there was strong NOX2 positivity contrasting with weak p22phox staining. All cancer cells were negative for p22phox.

Number and percentage of TAMs

In the 27 ATC studied, the mean proportion of TAMs was 57% of the total number of cells with a visible nucleus (Table 2). In fact, this percentage is likely to be a wide underestimation of the real percentage of TAMs since TAM nuclei were 5 to 10-fold smaller than cancer cell nuclei and the probability of cutting these nuclei on a 2D histological section is 5 to 10 times smaller than that of cutting cancer cell nuclei (Fig. 3).

Shape and subcellular NOX2, CD163 and CD68 staining of TAMs

Strong NOX2, CD163 and CD 68 stainings of TAMs allowed us to describe the following characteristics that were not visible with the usual hematoxylin and eosin staining: 1/ TAMs displayed very elongated cytoplasmic processes (up to 200 microns apart from the cell body); 2/ staining in these processes was often irregular with a moniliform pattern; 3/ these processes could divided in several more or less thinner branches; 4/ at their extremity, they often exhibited a small cytoplasmic ‘button shaped” enlargement; 5/ these extremities were in close contact with other TAMs, cancer cells and blood vessels; 6/ TAMs displayed no or very few intracytoplasmic phagocytic materials (Figs. 1, 2A, 3 and S2). Electron microscopy revealed cytoplasmic extensions of TAMs and close association with cancer cells (Fig. 4). We propose to call these TAMs “Ramified TAMs” (RTAMs). These features are in contrast to those of “classic” macrophages which present a more or less regular amoeboid round shape without major cytoplasmic extensions (Fig. 2B). Moreover this type of macrophages often presents intracellular phagocytized material.

thumbnail
Figure 4. RTAMs and cancer cells at the ultrastructural level.

A). Note the close relationship of RTAM and cancer cell. RTAM wraps its cytoplasmic processes (arrows) almost entirely around cancer cells (K). Original magnification: ×3000. B) Detail of RTAM cytoplasmic processes showing contacts with other processes (arrows) and their relations with cancer cell (K). Original magnification: ×12000.

https://doi.org/10.1371/journal.pone.0022567.g004

RTAM network

On NOX2, P22phox, CD163 and CD68 stainings, most TAMs displayed direct contact with other TAMs, forming networks of connected cells which could be tracked at least partially on 2D histological sections. These cellular networks connected TAMs to each other, enfolding dispersed isolated cancer cells and often in direct contact with them (Figs. 1, 3 and 4).

Connexin 43 (Cx43) immunostaining

In normal thyroid tissue, Cx43 staining was localized to characteristic punctuate structures at sites of cell-cell apposition (Fig. 5A). Cx43 positive staining was observed in all ATCs, in the majority of RTAMs and blood vessels and in a lower percentage of cancer cells (Figs. 5B, 5C, 5D and Fig. 6). Unlike in normal thyroid tissue, the staining was localized in the cytoplasm, the golgi area, small vesicles and/or characteristic intercellular punctuate structures suggesting a synthesis of CX43 and a more rapid turnover of the protein in ATC than in normal differentiated thyroid tissue [21]. Long chains of connected Cx43-positive RTAMs could be recognized and tracked within the tumor (Fig. 6). Moreover, it was possible to detect the Cx43 connection between positive blood vessels and RTAMs (Fig. 5D). At electron microscopy intercellular junctions consistent with gap junctions were found between RTAMs and between RTAMs and cancer cells (Fig. 7).

thumbnail
Figure 5. CX43 expression in normal thyroid tissue and in ATC.

A) Normal thyroid tissue: characteristic CX43 positive punctuate gap junctions at the intercellular basolateral membranes of thyrocytes and absence of staining at the apical border. Note a faint diffuse or vesicular staining in the cytoplasm which could correspond to the synthesis and/or transport of the protein to the membrane. Original magnification: ×400. B) Strong CX43 immunostaining in ATC (on the right part of the photo). Non-tumor fibrotic tissue is seen on the left part. Original magnification: ×50. C). Characteristic CX43-positive punctuate junctions localized where the RTAMs and cancer cells (K) come into contact. Original magnification: ×1000. D) CX43 immunostaining of RTAMs and endothelial cells (BV: Blood Vessel). Note a CX43-positive “button” at the junction between the endothelial blood vessel and RTAM (black arrow). Original magnification: ×400.

https://doi.org/10.1371/journal.pone.0022567.g005

thumbnail
Figure 6. CX43 expression in ATC.

CX43 immunostaining is mainly located in RTAMs. However, some cancer cells (k) display CX43 staining (black arrowheads). At the junction with cancer cells (small black arrows), presence of the characteristic punctuate pattern of gap junctions, as depicted in Fig. 4A. CX43-positive RTAMs interconnect to form an elongated network (green asterisks *). Original magnification: ×200.

https://doi.org/10.1371/journal.pone.0022567.g006

thumbnail
Figure 7. Demonstration of gap junctions at the ultrastructural level.

A) Gap junctions between RTAM and cancer cell at low power (arrow). Original magnification: ×3000. B) The same gap junctions at high power (arrows). Original magnification: ×20 000.

https://doi.org/10.1371/journal.pone.0022567.g007

Blood vessels

In well differentiated thyroid carcinoma immunostaining of blood vessels by CD34 displayed vasculature in close association with epithelial cancer cells. Almost each cancer cell is in direct contact with a blood vessel (Fig. 8B). In contrast, in ATC, vasculature was much more disorganized and anaplastic cancer cells could be localized in avascular areas at a distance of more than 150 microns from blood vessels (Fig. 8A). RTAMs were often located in clusters around blood vessels separating these vessels from cancer cells (Fig. 9), and long connected chains of RTAMs were infiltrating the avascular tumor tissue (Fig. 10).

thumbnail
Figure 8. CD34 blood vessel immunostaining.

A) Blood vessels display heterogeneous and unorganized distribution in ATC. Cancer cells could be located at a distance exceeding 150 microns from blood vessels (scale bar: 150 microns). Original magnification: ×100. B) CD34 immunostaining in a well-differentiated papillary thyroid carcinoma. Original magnification: ×200. Stained blood vessels follow the epithelial architecture and appear in close contact with cancer cells.

https://doi.org/10.1371/journal.pone.0022567.g008

thumbnail
Figure 9. Cluster of RTAMs surrounding blood vessel.

Original magnification: ×200. Cluster of CD163-positive RTAMs closely surround large blood vessel (B.V.) and small capillary (cap) and “stick together”. From this cluster, interconnected chains of RTAMs extend to within the tumor. Connections between RTAMs and cancer cells can be thick or very thin. (Long arrows show thin connections between RTAMS. Arrowheads show thin connections between RTAMs and cancer cells).

https://doi.org/10.1371/journal.pone.0022567.g009

thumbnail
Figure 10. Extensions of interconnected RTAMs from blood vessel to avascular tumor areas.

On the left, in case n°3 in which the number of RTAMs was relatively low and this allowed us to distinguish RTAMs along the blood vessel (B.V.) and the contiguous chain extension of RTAMs from the blood vessel to within the tumor cells. Original magnification: ×200. On the right, a drawing underlining the structure and the relationships between the different components was obtained by copying the photo in transparent digital layer with Adobe Photoshop and adding false colors; RTAMs in brown, cancer cells clear pink and blue; endothelial cells in green, neutrophils and/or monocytes in vessel lumen in violet and lymphocytes in red.

https://doi.org/10.1371/journal.pone.0022567.g010

GLUT1 immunostaining

GLUT1 was positive in red blood cells and vessels. In some cases and in some areas, RTAMs were positive for GLUT1 whereas the great majority of cancer cells were negative for GLUT1 (Fig. 11).

thumbnail
Figure 11. GLUT1 expression in RTAMs.

Original magnification: ×200. GLUT1 positivity is more or less restricted to RTAMs (black arrows). Some rare cancer cells (k) are positive for GLUT1 (white arrows).

https://doi.org/10.1371/journal.pone.0022567.g011

Single Ki67 immunostaining

In the majority of tumors, the proportion of Ki67-positive nuclei was around 50% (Table 2).

Double Ki67-p22phox immunostaining

This staining allowed recognizing four types of cells on the same section: Ki67− P22phox− and Ki67+ P22phox− cancer cells; Ki67− P22phox+ and Ki67+ and P22phox+ TAMs (Figs. 12 and S3). Each type of cells was counted with the help of the ImageJ software in the same way as for determining the whole percentage of TAMs (see Table 2). It appears that the mean proliferative rate of RTAMs was estimated to be 57% and the mean proliferative rate of cancer cells was estimated to be 45%.

thumbnail
Figure 12. Double Ki67/P22 immunostainings.

A) Original magnification: ×100; B) Original magnification: ×400. Ki67+ was revealed in brown-black color in the cell nuclei and P22phox in red in cytoplasm. Double immunostaining allowed distinguishing on the same section RTAMS Ki67+P22+ cells (red arrow-heads); RTAMs Ki67−P22+ cells (small red arrows); cancer cells Ki67+P22− (black arrow-heads) and Ki67−P22− (small black arrows).

https://doi.org/10.1371/journal.pone.0022567.g012

Alpha-SMA immunostaining

The staining was restricted to pericytes around blood vessels. All the other cells were negative. (Data not shown).

CD3 immunostaining

This staining demonstrated an absence or very rare presence of CD3+ T lymphocytes (less than 0, 01%) (Data not shown).

18F-FDG PET/CT

All the patients suffering of ATC and studied at the institute Gustave-Roussy showed high to very intense FDG uptake. [28](Fig S4).

Discussion

Nowadays, TAMs are classified in several subcategories according to different phenotypes that are dependent upon the type of tumors and microenvironments [29], [30]. In this study, we used NOX2, P22phox, CD163, CD68 and CD34 immunostainings to reveal and to characterize TAMs in ATC. With the use of these well recognized markers, it appeared that ATC tissue harbored only three types of cells: NOX2+ P22phox+ CD163+ CD68+ CD34− macrophages; NOX2− P22phox− CD163− CD68− CD34− cancer cells and NOX2− CD163− CD68− CD34+ blood vessel endothelium. Other cell types, such as lymphoid cells, fibroblasts and/or myofibroblasts were absent or very rare. Moreover ATC cancer cells were totally negative for all of these markers. This study confirms the presence of a high number of TAMs in most ATC that represent the majority of intra-tumor nucleated cells. Furthermore immunohistochemistry allowed us to accurately describe the morphology and the organization of TAMs.

Then we studied the ramified morphology of these TAMs and CX43 expression: TAMs in ATC displayed long and thin cytoplasmic processes which could extend up to 150 microns from the cell body. More often, these elongated processes were irregular and moniliform containing small stained vesicles, and were usually divided into several branches conferring a “microglia-like” appearance (Figs. 2A,3,4,S2). We propose to call them “Ramified TAMs” or “RTAMs”. RTAMs were in direct contact with other RTAMs, with cancer cells and with blood vessel endothelium. We suggest that these ramifications correspond to specific functions of type M2 TAMs and contrast to the absence of ramifications and the amoeboid shape of classic type M1 macrophages (Fig. 2B). Our hypothesis is that these cytoplasmic extensions of RTAMs may permit “cross talk” and molecular transfers between RTAMs and cancer cells. This “symbiotic” feature has been considered as a requirement for tumor aggressiveness [31].

Although differently expressed, CX43 was observed in the three cell types and at their interfaces. The great majority of RTAMs displayed CX43 positivity in the cytosol, in small vesicles either located in the cell body or along cytoplasmic processes and at appositional membrane areas with characteristic “punctuate” gap junction appearances, corresponding to the different phases of synthesis and processing of the protein [21].

As CX43 allows the intercellular passage of numerous small molecules ranging from ions to larger metabolites, these findings support our hypothesis that gap junctions between TAMs allow an efficient metabolic support by coordinating intercellular signaling and connections to cancer and endothelial cells.

We have schematically represented TAMs network on figure 13. A biological network structure is much more robust and resistant to diverse types of aggression or dysfunction than a non-interconnected structure [32][34]. This could give to ATC a definitive advantage on the neighboring non-tumor tissues

thumbnail
Figure 13. Schematic representation of TAMs network.

TAMs are linked together via CX43 connexins (gap junctions) which could provide the network with a mechanism of intercellular communication between TAMs, their neighboring cancer cells and blood vessels.

https://doi.org/10.1371/journal.pone.0022567.g013

The vasculature could be considered the basis for the unique physiology of solid tumors in comparison with normal tissue [35][37]. In well-differentiated thyroid cancer, tumor cells appear in close contact with blood vessels like thyrocytes in normal thyroid tissue. In contrast, many cancer cells in ATC were located at a distance of more than 150 microns from blood vessels (Fig. 8A). This distance is considered to be the maximum distance of oxygen diffusion in tissues from blood vessels [38], [39]. However, these cancer cells, in direct contact with RTAMs did not show any sign of necrosis or apoptosis. Moreover, RTAMs were strikingly clustered around blood vessels and from these cell clusters, long chains of connected RTAMs extended to avascular areas, as attempting to establish contact with distant cancer cells (Fig. 9 and 10).

Several mechanisms other than tumor vasculature can provide the tumor with oxygen and nutrients [40]. Monocytes/macrophages may have the capacity to mimick blood vessels [41], in the in vitro formation of cord-like structures or branched cell columns in matrigel under angiogenic conditions [42][44] and in the in vivo transformation of monocytes into blood vessels [45], [46]. Besides morphological features, lineage markers were found to be co-expressed by both endothelial cells and monocytes [42] [47], [48]. However, in our study RTAMs and blood vessels were constantly clearly distinct since RTAMs were CD163+, CD34− and blood vessels CD163−, CD34+. Glod et al. underlined [46] that “the continued expression of myeloid proteins implies that the cells do not trans-differentiate into mature endothelial cells, but rather take on specific endothelial characteristics while remaining inherently monocytic cells.” Therefore, it is tempting to speculate that the interconnected RTAM network plays a vessel-like role in supplying nutrients from the blood to cancer cells.

Staining of Ki67 showed that the majority of cells were in a proliferative state and the double immunostaining for Ki67 and P22phox showed that the proliferation rates of RTAMs and cancer cells were roughly similar (Table 2). Thus these rapidly growing tumors display apparently the same RTAMs/cancer cells ratio during their evolution in accordance with the “symbiotic” hypothesis.

GLUT1 protein has been recognized as the main isoform of glucose transporters in malignant tumors [49]. Stimulation of glycolysis is an activation signal of macrophages [50]. In ATC, the fact that the majority of cancer cells were negative for GLUT1 and that only blood vessels and a subset of RTAMs were positive, supports the notion that glucose uptake from the blood takes place mainly in RTAMs and not or to a far lesser degree in cancer cells. Indeed GLUT1 has also been recognized as the main transporter for the glucose analogue 2-[18F]-fluoro-2-deoxy-D-glucose (FDG) in positron-emission tomography (PET) [49], [51] and ATC displays an intense uptake of 18FDG [28], [52] (Fig S4). Furthermore Kubota et al. [53] showed that 18FDG uptake was 2–4 times higher in tumor-associated macrophages tissues than in tumor cells.

These data suggest that the high uptake of FDG in ATC could be mostly related to the high number of RTAMs and that RTAMs network is related to glucose metabolism in the tumor.

TAMs displayed strong staining for NOX2 and its partner p22phox. NOX2 is the catalytic subunit of NADPH oxidase which produces reactive oxygen species (O2 and H202) in activated macrophages in order to kill bacteria. Thus, this pro-inflammatory activity appears to be related more to “classic” M1 macrophages than to that of anti-inflammatory M2 macrophages. However, recent studies have revealed other functions of the NADPH oxidase systems [12]. In this context, macrophages in rats could highly potentiate the invasive capacity of hepatoma tumor cells, both in vitro and in vivo [54], [55] and this was inhibited by superoxide dismutase and catalase, This indicates a role for superoxide (O2-) and H2O2, both of which are generated by NADPH oxydase. Moreover, these studies argued in favor of direct contact between macrophages and tumor cells. Furthermore, the immunosuppressive properties of NOX2 and H2O2 have been demonstrated [56], [57] and reactive oxygen species (ROS) generated by NADPH oxidase are necessary for invadopodia and podosome formation which facilitates invasive behavior [58][60]. ROS can also modulate cell proliferation and the continuous generation of H2O2 is required for these mitogenic effects [61].

In ATC, cancer cells were negative for both NOX2 and p22phox. p22phox is also the functional partner of other NOX isoforms such as NOX1, NOX3 and NOX4 [12], and its lack of expression indicates that ATC cancer cells do not express these NADPH oxidase systems and consequently do not produce superoxide and H2O2 on their own. ROS within cells act as secondary messengers in intracellular signaling cascades which induce and maintain the survival and oncogenic phenotype of cancer cells [62], [63]. Numerous types of cancer cells display innate H2O2 overproduction, and this has been correlated with increased malignant potential [56][58] [64], [65]. Given the absence of the H2O2 generator in ATC cancer cells and the symbiotic function of RTAMs, it may be hypothesized that H2O2 produced by RTAMs could fuel cancer cells through interconnecting mechanisms such as Cx43. Moreover, beyond its role as a gap junction on the plasma membrane, Cx43 induces resistance to H2O2-mediated apoptosis, thus conferring an advantage for tumor growth [66].

Although essentially descriptive, our study demonstrates the presence in ATC of a dense and diffuse interconnected TAMs network. To our knowledge this is the first time that such a network is described in a malignant tumor. This network found in all of our studied ATC cases appears related to the anaplastic nature of the proliferation since it was not present in more differentiated thyroid carcinomas and implies that the cancer cells were isolated by TAMs ramifications. We proposed some hypotheses concerning its possible functions given the aggressiveness of the disease and its need in a great amount of energy. Further studies using experimental models are now warranted to investigate the role of such interconnected macrophage network. Finally, TAMs were recently manipulated in vivo and in situ with pharmacological agents or cytokines to induce cytotoxic activity against cancer cells [67][69]. Given its dismal prognosis, ATC appears to be a candidate for such therapeutic approaches.

Supporting Information

Text S1.

Supplemental material and methods.

https://doi.org/10.1371/journal.pone.0022567.s001

(DOC)

Figure S1.

Count of nuclei RTAMs and nuclei cancer cells. On the left original NOX2 immunostaining. Original magnification ×100. On the right nuclei are stained in false colors. The count is made with the help of Imagej software. TAMs nuclei are type 1 and are colored in green and cancer cells nuclei are type 2 and are colored in blue. For this peculiar field the number of TAMs nuclei were 162 and the number of cancer nuclei 152 that to say a percentage of 52% of TAMs on total nuclei population.

https://doi.org/10.1371/journal.pone.0022567.s002

(TIF)

Figure S2.

NOX2 (A) and CD163 (B) immunostainings in TAMs. Strong intracytoplasmic staining for NOX2 and CD163. Note the granular appearance in cytoplasmic extensions (arrows). Magnification in A and B: ×1000.

https://doi.org/10.1371/journal.pone.0022567.s003

(TIF)

Figure S3.

Double immunostaining Ki67/P22. Ki67 is stained in brown/black in the nucleus and P22 is stained in red in the cytoplasm. The different types of cells according to their staining were counted with the help of ImageJ software: Type1 corresponds to TAMs Ki67− P22+; type2 to TAMs Ki67+, P22+; type3 to cancer cells Ki67− P22− and type4 to cancer cells Ki67+, P22−.

https://doi.org/10.1371/journal.pone.0022567.s004

(TIF)

Figure S4.

18F-FDG PET/CT in a patient suffering of anaplastic thyroid carcinoma. Note an intense uptake of the 18F-FDG by the thyroid tumor.

https://doi.org/10.1371/journal.pone.0022567.s005

(TIF)

Acknowledgments

The authors are grateful to D. Bennequin and E. Solary for fruitful comments and discussions, to Lorna Saint Ange for editing and to Eric Le Cam and Jeanne Ayache for the transmission electron microscopy study.

Author Contributions

Conceived and designed the experiments: BC CD. Performed the experiments: MT UW CPD. Analyzed the data: BC AAG SC MS CD. Contributed reagents/materials/analysis tools: BC MT JMB MS CD. Wrote the paper: BC MS CD.

References

  1. 1. Cornett WR, Sharma AK, Day TA, Richardson MS, Hoda RS, et al. (2007) Anaplastic thyroid carcinoma: an overview. Curr Oncol Rep 9: 152–158.
  2. 2. Are C, Shaha AR (2006) Anaplastic thyroid carcinoma: biology, pathogenesis, prognostic factors, and treatment approaches. Ann Surg Oncol 13: 453–464.
  3. 3. Ain KB (1998) Anaplastic thyroid carcinoma: behavior, biology, and therapeutic approaches. Thyroid 8: 715–726.
  4. 4. Ordonez NG, El-Naggar AK, Hickey RC, Samaan NA (1991) Anaplastic thyroid carcinoma. Immunocytochemical study of 32 cases. Am J Clin Pathol 96: 15–24.
  5. 5. Ryder M, Ghossein RA, Ricarte-Filho JC, Knauf JA, Fagin JA (2008) Increased density of tumor-associated macrophages is associated with decreased survival in advanced thyroid cancer. Endocr Relat Cancer 15: 1069–1074.
  6. 6. Mantovani A, Bottazzi B, Colotta F, Sozzani S, Ruco L (1992) The origin and function of tumor-associated macrophages. Immunol Today 13: 265–270.
  7. 7. Mantovani A, Schioppa T, Porta C, Allavena P, Sica A (2006) Role of tumor-associated macrophages in tumor progression and invasion. Cancer Metastasis Rev 25: 315–322.
  8. 8. Gordon S (2003) Alternative activation of macrophages. Nat Rev Immunol 3: 23–35.
  9. 9. Pollard JW (2004) Tumour-educated macrophages promote tumour progression and metastasis. Nat Rev Cancer 4: 71–78.
  10. 10. Mosser DM (2003) The many faces of macrophage activation. J Leukoc Biol 73: 209–212.
  11. 11. Mantovani A, Sozzani S, Locati M, Allavena P, Sica A (2002) Macrophage polarization: tumor-associated macrophages as a paradigm for polarized M2 mononuclear phagocytes. Trends Immunol 23: 549–555.
  12. 12. Bedard K, Krause KH (2007) The NOX family of ROS-generating NADPH oxidases: physiology and pathophysiology. Physiol Rev 87: 245–313.
  13. 13. Fabriek BO, Dijkstra CD, van den Berg TK (2005) The macrophage scavenger receptor CD163. Immunobiology 210: 153–160.
  14. 14. Schaer DJ, Boretti FS, Schoedon G, Schaffner A (2002) Induction of the CD163-dependent haemoglobin uptake by macrophages as a novel anti-inflammatory action of glucocorticoids. Br J Haematol 119: 239–243.
  15. 15. Kunisch E, Fuhrmann R, Roth A, Winter R, Lungershausen W, et al. (2004) Macrophage specificity of three anti-CD68 monoclonal antibodies (KP1, EBM11, and PGM1) widely used for immunohistochemistry and flow cytometry. Ann Rheum Dis 63: 774–784.
  16. 16. Beranek JT (2005) CD68 is not a macrophage-specific antigen. Ann Rheum Dis 64: 342–343.
  17. 17. Oviedo-Orta E, Howard EW (2004) Gap junctions and connexin-mediated communication in the immune system. Biochim Biophys Acta 1662: 102–112.
  18. 18. Saez JC, Berthoud VM, Branes MC, Martinez AD, Beyer EC (2003) Plasma membrane channels formed by connexins: their regulation and functions. Physiol Rev 83: 1359–1400.
  19. 19. Dbouk HA, Mroue RM, El-Sabban ME, Talhouk RS (2009) Connexins: a myriad of functions extending beyond assembly of gap junction channels. Cell Commun Signal 7: 4.
  20. 20. Goldberg GS, Valiunas V, Brink PR (2004) Selective permeability of gap junction channels. Biochim Biophys Acta 1662: 96–101.
  21. 21. Simek J, Churko J, Shao Q, Laird DW (2009) Cx43 has distinct mobility within plasma-membrane domains, indicative of progressive formation of gap-junction plaques. J Cell Sci 122: 554–562.
  22. 22. Evans WH, De VE, Leybaert L (2006) The gap junction cellular internet: connexin hemichannels enter the signalling limelight. Biochem J 397: 1–14.
  23. 23. Fu Y, Maianu L, Melbert BR, Garvey WT (2004) Facilitative glucose transporter gene expression in human lymphocytes, monocytes, and macrophages: a role for GLUT isoforms 1, 3, and 5 in the immune response and foam cell formation. Blood Cells Mol Dis 32: 182–190.
  24. 24. Fina L, Molgaard HV, Robertson D, Bradley NJ, Monaghan P, et al. (1990) Expression of the CD34 gene in vascular endothelial cells. Blood 75: 2417–2426.
  25. 25. Hinz B (2007) Formation and function of the myofibroblast during tissue repair. J Invest Dermatol 127: 526–537.
  26. 26. Frank SJ, Samelson LE, Klausner RD (1990) The structure and signalling functions of the invariant T cell receptor components. Semin Immunol 2: 89–97.
  27. 27. Scholzen T, Gerdes J (2000) The Ki-67 protein: from the known and the unknown. J Cell Physiol 182: 311–322.
  28. 28. Poisson T, Deandreis D, Leboulleux S, Bidault F, Bonniaud G, et al. (2010) 18F-fluorodeoxyglucose positron emission tomography and computed tomography in anaplastic thyroid cancer. Eur J Nucl Med Mol Imaging 37: 2277–2285.
  29. 29. Lewis CE, Pollard JW (2006) Distinct role of macrophages in different tumor microenvironments. Cancer Res 66: 605–612.
  30. 30. Mosser DM, Edwards JP (2008) Exploring the full spectrum of macrophage activation. Nat Rev Immunol 8: 958–969.
  31. 31. Condeelis J, Pollard JW (2006) Macrophages: obligate partners for tumor cell migration, invasion, and metastasis. Cell 124: 263–266.
  32. 32. Barabasi AL, Oltvai ZN (2004) Network biology: understanding the cell's functional organization. Nat Rev Genet 5: 101–113. 10.1038/nrg1272 [doi];nrg1272 [pii].
  33. 33. Jeong H, Tombor B, Albert R, Oltvai ZN, Barabasi AL (2000) The large-scale organization of metabolic networks. Nature 407: 651–654.
  34. 34. Albert R, Jeong H, Barabasi AL (2000) Error and attack tolerance of complex networks. Nature 406: 378–382.
  35. 35. Brown JM, Giaccia AJ (1998) The unique physiology of solid tumors: opportunities (and problems) for cancer therapy. Cancer Res 58: 1408–1416.
  36. 36. Pries AR, Hopfner M, le NF, Dewhirst MW, Secomb TW (2010) The shunt problem: control of functional shunting in normal and tumour vasculature. Nat Rev Cancer 10: 587–593.
  37. 37. Pries AR, Cornelissen AJ, Sloot AA, Hinkeldey M, Dreher MR, et al. (2009) Structural adaptation and heterogeneity of normal and tumor microvascular networks. PLoS Comput Biol 5: e1000394.
  38. 38. Awwad HK, el NM, Mocktar N, Barsoum M (1986) Intercapillary distance measurement as an indicator of hypoxia in carcinoma of the cervix uteri. Int J Radiat Oncol Biol Phys 12: 1329–1333.
  39. 39. Hlatky L, Hahnfeldt P, Folkman J (2002) Clinical application of antiangiogenic therapy: microvessel density, what it does and doesn't tell us. J Natl Cancer Inst 94: 883–893.
  40. 40. Dome B, Hendrix MJ, Paku S, Tovari J, Timar J (2007) Alternative vascularization mechanisms in cancer: Pathology and therapeutic implications. Am J Pathol 170: 1–15.
  41. 41. Scavelli C, Nico B, Cirulli T, Ria R, Di PG, et al. (2008) Vasculogenic mimicry by bone marrow macrophages in patients with multiple myeloma. Oncogene 27: 663–674.
  42. 42. Schmeisser A, Garlichs CD, Zhang H, Eskafi S, Graffy C, et al. (2001) Monocytes coexpress endothelial and macrophagocytic lineage markers and form cord-like structures in Matrigel under angiogenic conditions. Cardiovasc Res 49: 671–680.
  43. 43. Anghelina M, Moldovan L, Zabuawala T, Ostrowski MC, Moldovan NI (2006) A subpopulation of peritoneal macrophages form capillarylike lumens and branching patterns in vitro. J Cell Mol Med 10: 708–715.
  44. 44. Havemann K, Pujol BF, Adamkiewicz J (2003) In vitro transformation of monocytes and dendritic cells into endothelial like cells. Adv Exp Med Biol 522: 47–57.
  45. 45. Anghelina M, Schmeisser A, Krishnan P, Moldovan L, Strasser RH, et al. (2002) Migration of monocytes/macrophages in vitro and in vivo is accompanied by MMP12-dependent tunnel formation and by neovascularization. Cold Spring Harb Symp Quant Biol 67: 209–215.
  46. 46. Glod J, Kobiler D, Noel M, Koneru R, Lehrer S, et al. (2006) Monocytes form a vascular barrier and participate in vessel repair after brain injury. Blood 107: 940–946.
  47. 47. Schmeisser A, Graffy C, Daniel WG, Strasser RH (2003) Phenotypic overlap between monocytes and vascular endothelial cells. Adv Exp Med Biol 522: 59–74.
  48. 48. Li B, Vincent A, Cates J, Brantley-Sieders DM, Polk DB, Young PP (2009) Low levels of tumor necrosis factor alpha increase tumor growth by inducing an endothelial phenotype of monocytes recruited to the tumor site. Cancer Res 69: 338–348.
  49. 49. Brown RS, Leung JY, Fisher SJ, Frey KA, Ethier SP, et al. (1996) Intratumoral distribution of tritiated-FDG in breast carcinoma: correlation between Glut-1 expression and FDG uptake. J Nucl Med 37: 1042–1047.
  50. 50. Bustos R, Sobrino F (1989) Control of fructose 2,6-bisphosphate levels in rat macrophages by glucose and phorbol ester. FEBS Lett 251: 143–146.
  51. 51. Brindle K (2008) New approaches for imaging tumour responses to treatment. Nat Rev Cancer 8: 94–107.
  52. 52. Bogsrud TV, Karantanis D, Nathan MA, Mullan BP, Wiseman GA, et al. (2008) 18F-FDG PET in the management of patients with anaplastic thyroid carcinoma. Thyroid 18: 713–719.
  53. 53. Kubota R, Yamada S, Kubota K, Ishiwata K, Tamahashi N, et al. (1992) Intratumoral distribution of fluorine-18-fluorodeoxyglucose in vivo: high accumulation in macrophages and granulation tissues studied by microautoradiography. J Nucl Med 33: 1972–1980.
  54. 54. Shinkai K, Mukai M, Akedo H (1986) Superoxide radical potentiates invasive capacity of rat ascites hepatoma cells in vitro. Cancer Lett 32: 7–13.
  55. 55. Mukai M, Shinkai K, Tateishi R, Mori Y, Akedo H (1987) Macrophage potentiation of invasive capacity of rat ascites hepatoma cells. Cancer Res 47: 2167–2171.
  56. 56. Corzo CA, Cotter MJ, Cheng P, Cheng F, Kusmartsev S, et al. (2009) Mechanism regulating reactive oxygen species in tumor-induced myeloid-derived suppressor cells. J Immunol 182: 5693–5701.
  57. 57. Kono K, Salazar-Onfray F, Petersson M, Hansson J, Masucci G, et al. (1996) Hydrogen peroxide secreted by tumor-derived macrophages down-modulates signal-transducing zeta molecules and inhibits tumor-specific T cell-and natural killer cell-mediated cytotoxicity. Eur J Immunol 26: 1308–1313.
  58. 58. Yamaguchi H, Pixley F, Condeelis J (2006) Invadopodia and podosomes in tumor invasion. Eur J Cell Biol 85: 213–218. S0171-9335(05)00174-3.
  59. 59. Weaver AM (2009) Regulation of cancer invasion by reactive oxygen species and Tks family scaffold proteins. Sci Signal 2: e56.
  60. 60. Diaz B, Shani G, Pass I, Anderson D, Quintavalle M, et al. (2009) Tks5-dependent, nox-mediated generation of reactive oxygen species is necessary for invadopodia formation. Sci Signal 2: ra53.
  61. 61. Mander PK, Jekabsone A, Brown GC (2006) Microglia proliferation is regulated by hydrogen peroxide from NADPH oxidase. J Immunol 176: 1046–1052.
  62. 62. Groeger G, Quiney C, Cotter TG (2009) Hydrogen peroxide as a cell survival signaling molecule. Antioxid Redox Signal 10.1089.
  63. 63. Valko M, Leibfritz D, Moncol J, Cronin MT, Mazur M, et al. (2007) Free radicals and antioxidants in normal physiological functions and human disease. Int J Biochem Cell Biol 39: 44–84.
  64. 64. Szatrowski TP, Nathan CF (1991) Production of large amounts of hydrogen peroxide by human tumor cells. Cancer Res 51: 794–798.
  65. 65. Kumar B, Koul S, Khandrika L, Meacham RB, Koul HK (2008) Oxidative stress is inherent in prostate cancer cells and is required for aggressive phenotype. Cancer Res 68: 1777–1785.
  66. 66. Giardina SF, Mikami M, Goubaeva F, Yang J (2007) Connexin 43 confers resistance to hydrogen peroxide-mediated apoptosis. Biochem Biophys Res Commun 362: 747–752.
  67. 67. Stout RD, Watkins SK, Suttles J (2009) Functional plasticity of macrophages: in situ reprogramming of tumor-associated macrophages. J Leukoc Biol 86(5): 1105–9.
  68. 68. Guiducci C, Vicari AP, Sangaletti S, Trinchieri G, Colombo MP (2005) Redirecting in vivo elicited tumor infiltrating macrophages and dendritic cells towards tumor rejection. Cancer Res 65: 3437–3446.
  69. 69. Buhtoiarov IN, Lum H, Berke G, Paulnock DM, Sondel PM, et al. (2005) CD40 ligation activates murine macrophages via an IFN-gamma-dependent mechanism resulting in tumor cell destruction in vitro. J Immunol 174: 6013–6022.