Oncotarget

Research Papers:

Tumor-associated macrophages and individual chemo-susceptibility are influenced by iron chelation in human slice cultures of gastric cancer

PDF |  Full Text  |  Supplementary Files  |  How to cite

Oncotarget. 2019; 10:4731-4742. https://doi.org/10.18632/oncotarget.27089

Metrics: PDF 1513 views  |   Full Text 2551 views  |   ?  

Sebastian Prill _, Jakob Rebstock, Anja Tennemann, Justus Körfer, Rasmus Sönnichsen, René Thieme, Ines Gockel, Orestis Lyros, Astrid Monecke, Christian Wittekind, Arved Weimann, Kerstin Grosser, Volker Wiechmann, Christoph Kubick, Ingo Bechmann, Florian Lordick and Sonja Kallendrusch

Abstract

Sebastian Prill1,2, Jakob Rebstock1,2, Anja Tennemann2, Justus Körfer2, Rasmus Sönnichsen1,2, René Thieme3, Ines Gockel3, Orestis Lyros3, Astrid Monecke4, Christian Wittekind4, Arved Weimann5, Kerstin Grosser5, Volker Wiechmann6, Christoph Kubick6, Ingo Bechmann1, Florian Lordick2,7 and Sonja Kallendrusch1

1 Institute of Anatomy, University Medicine Leipzig, Leipzig, Germany

2 University Cancer Center Leipzig (UCCL), University Medicine Leipzig, Leipzig, Germany

3 Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Medicine Leipzig, Leipzig, Germany

4 Institute of Pathology, University Medicine Leipzig, Leipzig, Germany

5 Department of General and Visceral Surgery, Klinikum St. Georg, Leipzig, Germany

6 Department of Pathology, Klinikum St. Georg, Leipzig, Germany

7 Department of Hematology and Medical Oncology, University Medicine Leipzig, Leipzig, Germany

Correspondence to:

Sebastian Prill,email: [email protected]

Keywords: tumor-associated macrophages; tumor slice cultures; deferoxamine; gastric cancer; iron

Received: February 20, 2019     Accepted: June 29, 2019     Published: July 30, 2019

ABSTRACT

Purpose: Presence of tumor-associated macrophages (TAM) and high levels of ferritin and lipocalin 2 (Lcn2) in the tumor microenvironment are associated with poor prognosis in many types of cancer. Here we investigate whether iron deprivation influences TAM phenotype and chemotherapy resistance in tumor slice cultures (TSC) of gastric cancer.

Results: TAM remained morphologically and functionally stable for four DIV. DFO treatment for 72 h decreased ferritin expression in TAM and in the tumor stroma but did not alter Lcn2 expression. TAM phenotype was altered after 72 h of cisplatin or DFO treatment compared with control conditions. Single DFO treatment and combined treatment with cytotoxic drugs significantly increased tumor cell apoptosis in TSC of gastric cancer.

Methods: TSC were manufactured by cutting tissue of gastric cancer resection specimens in 350 μm thick slices and cultivating them under standard conditions on a filter membrane, at an air-liquid interface. After 24 h ex vivo, TSC were treated with irinotecan (100 nM) or cisplatin (10 μM) alone and in combination with deferoxamine (DFO; 10 μM, 100 μM), respectively, for 72 h. After four days in vitro (DIV) the TSC were fixated with paraformaldehyde, paraffin embedded and analyzed by immunohistochemistry for apoptosis (cPARP), proliferation (Ki67), TAM (CD68, CD163), ferritin, and Lcn2 expression.

Conclusions: TAM are well preserved and can be studied in TSC of gastric cancer. Iron deprivation significantly increased tumor cell apoptosis.


Introduction

Gastric cancer is the fifth most common tumor disease and the third most common cause of cancer-related death worldwide [1]. Still, response to cytotoxic treatment, which is the standard of care in the adjuvant and palliative setting, is unpredictable [2]. The tumor microenvironment plays an important role in tumor progression and treatment resistance [35]. Immune cells and fibroblasts in the TME promote tumor cells by wound healing processes [5]. One important cell population in the tumor microenvironment are tumor-associated macrophages [6, 7]. It has been shown that the number of TAM, a specialized population of macrophages, in gastric cancer is negatively correlated with patients' overall survival [810]. Macrophages have shown big differences in their phenotype and function [11]. Macrophages display a continuum, ranging from classically-activated-, inflammatory-, M1 phenotype to alternative-activated-, anti-inflammatory-, or M2 phenotype [11]. In comparison to physiologic inflammatory, M1 phenotype tumor supportive TAM phenotype is rather assigned to the M2 phenotype. Apoptotic tumor cells are able to trigger TAM to an iron-release phenotype (mainly M2), as macrophages are main regulators of iron within tissue and the overall systemic homeostasis [6, 7, 12]. These TAM secrete iron, lipocalin 2 and ferritin into the tumor stroma, which increases tumor cell proliferation and metastasis [6, 7, 13, 14]. Studies in cell lines and primed monocytes or macrophages, have shown that iron chelators might be used as anti-cancer agents and are able to change the macrophage phenotype towards iron sequestration [12, 1519]. However, experiments with cancer cell lines and primed monocytes do not appropriately mirror the major in-vivo heterogeneity of tumor and stromal cells. Long-established cell lines differ significantly from the primary tumor, and the process of cultivation selects and homogenizes these cells [2022]. Other clinically relevant models are needed for the investigation of interactions between tumor cells and TAM in a model that reflects more the spectrum of inter- and intratumoral heterogeneity. Here we explored the interaction between deferoxamine, cancer cells, apoptosis and TAM in the human slice culture model of gastric cancer.

Results

Representative pictures of TAM in TSC of gastric cancer (Figure 1A), Lcn2 expression (Figure 1B), ferritin expression (Figure 1B), TAM expression (Figure 1C), apoptosis (Figure 1D) and proliferation analysis (Figure 1E) are shown in Figure 1.

Representative pictures of analyzed human tumor slice cultures.

Figure 1: Representative pictures of analyzed human tumor slice cultures. (A) To investigate macrophage survival we use CD68 antibody staining for TAM in vitro after 0, 2, 4, 6 DIV of gastric cancer specimens. (B) Representative images of ferritin expression (green) and co-located TAM (CD68, red) after 4 DIV in control and DFO treated conditions of specimen #12 and representative images of Lcn2 expression (green) and co-located TAM (CD68, red) after four DIV in control and DFO treated conditions of specimen #16 (Hoechst, blue). (C) Representative pictures of macrophage phenotypes (CD68, red; CD163, green) expression after treatment at four DIV in specimen #16 (Hoechst, blue). (D) Representative images of apoptotic tumor cell fraction (Hoechst, blue; AE 1/3, red; cPARP, green) of specimen #14. (E) Representative images of proliferating tumor cell fraction (Hoechst, blue; AE 1/3, red; Ki67, green) of specimen #6. (Bars 20 μm).

TAM remain morphologically and functionally stable until day four in vitro

In order to test for changes in TAM (CD68) expression after treatment, we first investigated the preservation of macrophages in their morphology and number in human gastric cancer slice cultures. In addition, we wanted to know whether TAM accumulate in certain areas in TSC under culture conditions. This is fundamental for determining the survival and functional state of the macrophage fraction, as well as for analyzing the adequate paraffin sections to standardize macrophage analysis. Morphologically we identified intact cell bodies of CD68-positive TAM with co-located nuclei until day four in vitro (Figure 1A). After six DIV we saw partially interrupted cell bodies of TAM (CD68) with no or small nuclei (Figure 1A). The number of TAM did not show any significant change throughout TSCs up to six DIV (Figure 2A). However, the mean amount of TAM shows a decreasing trend after DIV4 (Figure 1B). Confocal live microscopy identified vital and migratory TAM (IB4) until DIV4 (Supplementary Figure 1).

TAM in tumor slice cultures.

Figure 2: TAM in tumor slice cultures. (A) Number of CD68 positive cells per layer in tumor slice cultures from top to bottom after DIV2-6. (B) Total amount of CD68 after 0, 2, 4, 6 DIV (n = 1). (Representative pictures are shown in Figure 1A).

DFO increases iron in culture medium

To explore whether iron was being removed from the tissue due to the DFO treatment, we examined the iron concentration of the slice culture media. The content of iron was significantly increased after DFO 100 μM (24 h treatment, Δ13.5%, P ≤ 0.001; 72 h treatment, Δ11%, P ≤ 0.001) and DFO 10 μM treatment (24 h treatment, D8.5%, P ≤ 0.01; 72 h treatment, D9.5%, P ≤ 0.001) in culture medium compared with control media (Figure 3B). In addition, we could show that the iron concentration in culture media of tumor tissue was significantly higher than in media of adjacent healthy tissue (D8%, P ≤ 0.05) after DFO 10 μM treatment (Figure 3A). The iron concentration in culture media of adjacent healthy tissue was not increased after treatment with DFO 10 μM compared with controls (Δ0.5%, n.s.). In addition, 10 μM DFO treatment increased apoptosis of tumor cells (Δ2%, n.s.) but not the apoptosis in adjacent healthy tissue (Δ0.5%, n.s.) compared with the respective controls (Supplementary Figure 2).

Iron deprivation after DFO treatment.

Figure 3: Iron deprivation after DFO treatment. (A) To check if DFO treatment removes iron from the tissue we had the medium analyzed by inductively coupled plasma mass spectrometry. Relative iron concentration is shown after single day donation in the medium of slice cultures in tumor and adjacent healthy tissue after 24 h (filled icons) and 72 h (closed icons) DFO (10 μM) treatment from specimen #14. (B) Relative iron concentration after single day donation in the medium of tumor slice cultures after 24 h and 72 h DFO (100 μM, 10 μM) treatment.

Lcn2 and ferritin expression

Ferritin expression of tissue treated with 100 μM DFO was significantly lower (∆2.5%, P ≤ 0.05) than in the control tissue (Figure 4A). Similar effects could be observed in CD68 expressing TAM (ferritin expression: CTR vs. DFO 100 μM, ∆20.5%, P ≤ 0.01) (Figure 4B). The expression of Lcn2 showed no changes between treated conditions and controls, nor in tumor cells nor in TAM (Figure 4C4E). However, the Lcn2 expression of tumor cells was very individual, and without association with the proliferating tumor cell fraction or apoptotic tumor cell fraction (Figure 4). There was a trend towards higher median Lcn2 expression in the here investigated G3 tumors as compared with the median of G2 tumors (Figure 4F).

Lcn2 and ferritin expression after chelation therapy.

Figure 4: Lcn2 and ferritin expression after chelation therapy. (A) Ferritin expression in overall tissue (measured in entire Hoechst area). (B) Ferritin expression in TAM (colocalized with CD68). (CE) Lcn2 expression of overall tissue (measured in entire Hoechst area), TAM (colocalized with CD68) and tumor cells (colocalized with AE 1/3 area) after four DIV. (F) Lcn2 expression of tumor cells on preparation day (DIV0) in order to grading (G2, G3). (Representative pictures are shown in Figure 1).

Chemotherapy induced apoptosis and iron chelator treatment influence TAM-phenotype

Three cases of gastric cancer were examined for CD68 and CD163 expression in the tumor stroma. Graphs are shown in Figure 5A (two chemo-naive specimens; #14, #16) and in Supplementary Figure 3 (one neoadjuvant treated specimen; #12). In two pooled chemo-naive cases no change of CD68 and CD163 expression was observed in the control conditions (DIV4, CD68: Δ0.1%; CD163: Δ0.1%) compared to the baseline tissue (DIV0, Figure 3B; #14, #16). In the chemo-naive specimens, treatment with cisplatin led to decreased expression of CD68 and an increase of the CD163 expression compared with controls, these changes were, however, not significant (CD68: Δ0.8%; CD163: Δ0.4%). Compared to controls, DFO treated conditions (100 μM and 10 μM) depicted lower CD68 expression and similar CD163 expression (DFO 100 μM CD68: 0.3%, CD163 0.1%; DF0 10 μM 0.3%, CD163: 0.1%). DFO treatment resulted in enhanced CD68 expression and lower CD163 expressions (DFO 100 μM: CD68: Δ0.3%, CD163: Δ0.2%; DFO 10 μM: CD68: Δ0.5%, CD163: Δ0.3%) compared with cytostatic cisplatin treatment. The combined treatment of DFO and cisplatin led to lower CD68 expression and increased CD163 expression compared with the control conditions (CD68: Δ0.3%; CD163: Δ0.7%). One neoadjuvant treated specimen (Supplementary Figure 3; #12) depicted similar changes in TAM phenotype expression as described above could be observed, shown in Supplementary Figure 3 (irinotecan 100nM: CD68: 0.4%; CD163: 0.1%; DFO 100 μM: CD68: 0.4%; CD163: 0.5%; DFO 100 μM + irinotecan 100nM: CD68: 0.3%; CD163: 0.2%; all conditions compared with controls).

TAM-phenotype expression after cisplatin and DFO treatment.

Figure 5: TAM-phenotype expression after cisplatin and DFO treatment. (A) TAM (CD68; CD163) expression in overall tumor tissue after treatment. (B, C) Apoptotic tumor cell fraction and CD163 expression of specimen #16. (Representative pictures are shown in Figure 1).

CD163 expression is increased by apoptosis. In order to consider the induction of CD163 expression by apoptosis we compared the conditions of equal apoptotic tumor cell fractions with CD163 expression. In case #16 similar apoptotic rates were observed in the CDDP 10 μM and DFO 10 μM treated conditions (∆0.2%) or in the DFO 100 μM + CDDP 10 μM and DFO 100 μM treated conditions (∆0.4%, Figure 5B). CD163 was in both CDDP treated conditions higher expressed than in the low or high DFO treated conditions (DFO 10 μM, ∆0.3%; DFO 100 μM, ∆0.4%) compared with conditions with similar apoptotic tumor cell fraction and lower DFO concentration (CDDP 10 μM; DFO 10 μM + CDDP 10 μM; Figure 5C).

Tumor slice cultures respond to chelator treatment

Proliferation analysis presented very heterogeneous inter- and intratumoral results in slice cultures of gastric cancer. Here only trends indicated decreased proliferating tumor cell fractions in the treated conditions compared to the control conditions (irinotecan, Δ2.5%; DFO, Δ3.5%; irinotecan and DFO, D4%; Figure 6B). However, treatment replicates (DFO 100 μM) of slice culture conditions showed comparable means of apoptotic tumor cell fraction (Δ0.3%; Supplementary Figure 5).

Tumor response to DFO and cytostatic treatment.

Figure 6: Tumor response to DFO and cytostatic treatment. (A) Apoptotic tumor cell fraction and (B) proliferating tumor cell fraction after four DIV. (C, D) Apoptotic tumor cell fractions of chemo-naive patients, specimen #14 and specimen #16 after four DIV. (Representative pictures are shown in Figure 1).

Five samples of patients who received neoadjuvant chemotherapy (clinical data is shown in Supplementary Table 1) were treated with DFO 100 μM and showed a significant increase in apoptotic tumor cell fraction (D4.5%, P ≤ 0.05) compared with the control conditions (Figure 6A). The combination of DFO 100 μM and irinotecan 100 nM provoked a further significant increase in apoptotic tumor cell fraction compared with irinotecan 100 nM alone (D9%, P ≤ 0.0001) or the control condition (Δ12.5%, P ≤ 0.0001). Two chemo-naive specimens (#14, #16) were treated with DFO and CDDP to determine chemotherapeutic susceptibility (Figure 6C, 6D). Case 16 (#16, Δ3%, n.s.) showed less apoptotic tumor cell fraction after CDDP treatment than case 14 (#14, D6.5%, n.s.) in comparison with their respective controls. However, specimens #14 and #16 showed comparable changes in DFO 100 μM treated conditions compared with controls (#14, Δ12.5%, P ≤ 0.001; #16, Δ12%, P ≤ 0.001), CDDP 10 μM (#14, D6%, n.s.; #16, D9%, P ≤ 0.01) and DFO 10 μM treated conditions (#14, Δ10.5%, P ≤ 0.01; #16, 9.5%, P ≤ 0.01). Conditions which were treated with the combination of CDDP 10 μM and DFO 10 μM had a significantly higher apoptotic tumor cell fraction than CDDP 10 μM (#14, D8%, P ≤ 0.01; #16, D9%, P ≤ 0.01) alone or single DFO 10 μM treatment (#14, Δ12.5%, P ≤ 0.01; #16, D9%, P ≤ 0.01). In specimen #16 trends subsequently indicated decreased proliferating tumor cell fractions in the treated conditions compared to the control conditions (CDDP 10 μM, D6%; DFO 100 μM, D8%; DFO 10 μM, D6%; CDDP 10 μM + DFO 10 μM, D8%; Supplementary Figure 4).

DISCUSSION

Several ex vivo tumor slice culture models for tumor entities are already established and first correlations with clinical data exist [2331]. We here investigated the preservation of TAM in human gastric TSC and studied their phenotype. We expected that iron chelation in TSC would alter the TAM phenotype and thereby will influence tumor cell survival in human gastric TSC.

TAM are mostly studied by converting monocytes with LPS and IFN-γ or IL-4/ IL-10 to an excessed macrophage phenotype [12, 15]. With this procedure, a low heterogeneity in macrophage phenotype is generated and the natural heterogeneity of macrophages is underestimated. To the best of our knowledge, our experiments show for the first time that human TAM remain stable in their morphology, number and activity in gastric cancer slice cultures until day four ex vivo. In human slice cultures, we expect a great variety of TAM phenotypes, because of the possible crosstalk between TAM, cancer cells and other stromal cells.

A physiological function of macrophages is to maintain the iron balance in human tissue. Increased iron traffic by TAM is discussed to promote tumor progression or tumor protraction. Here, we investigated TAM regulation by applying the clinically approved iron chelator DFO. First, it was demonstrated that DFO deprives iron from cancer tissue of slice cultures, but not from slice cultures of adjacent gastric cancer tissue. In vivo, DFO is given systemically and will not only accumulate in tumor tissue. Therefore, the influence on healthy tissue is essential for safe administration. These results are in line with the literature, where cancer cell lines demonstrate reduced viability and high iron efflux with chelator treatment whereas this could not be found in non-cancer cell lines [16, 32, 33]. Likewise clinical studies exhibited increased urinary iron excretion in cancer patients whereas [34] urinary iron excretion was not significantly increased in healthy individuals after deferoxamine or other iron chelator therapy.

To further study the iron depletion within the tissue, ferritin expression was investigated. It was shown that ferritin supplementation provoked tumor cell proliferation in breast cancer cell lines [13]. In the present study we found that ferritin expression decreased after DFO treatment in the tissue and in TAM. The same effect was seen in an esophageal-cancer-derived xenograft mice study, where the tissue expression of ferritin was reduced after three weeks of deferasirox treatment [16]. Primary macrophages then also displayed enhanced ferritin secretion after iron supplementation [13].

Another iron regulating protein respectively a siderophore binding protein, Lcn2 was shown to potently increase the intracellular labile iron pool of cancer cells, tumor proliferation and induce chemotherapy resistance. Further, it is expressed by TAM and cancer cells [6, 14, 3538]. Another aspect of Lcn2 is its involvement in inflammation and wound healing processes, however this protein is hardly explored and it is controversial discussed [3840]. Difficulties to clarify the role of Lcn2 might be related to its different iron-unbound apo-lipocalin-2 and iron-bound, immune suppressive holo-lipocalin-2 form, which may have opposite functions, such as infection defense (iron depletion), wound healing (iron release) or tumor progression (iron release) [39, 41]. In the present study, Lcn2 distribution did change only in individual cases. We observed non-significantly enhanced Lcn2 expression in G3 tumors compared to G2 tumors, likewise stated in literature [42]. But data are limited for Lcn2 tumor tissue expression and the observed changes in our present study might reflect culturing artefacts, as Lcn2 is also involved in inflammation and wound healing processes [3840].

Different macrophage phenotypes influence Lcn2 expression as they play a pivotal role in the tumor microenvironment due to their diverse functions [9, 11]. The macrophage phenotype is even used as prognostic marker in ovarian cancer patients, where a high M1/ M2-macrophages ratio is related to better survival [43]. The macrophage classification is used to categorize macrophages in their current state of action. This is considerable, regarding that apoptotic tumor cells trigger macrophages towards an iron releasing phenotype [7]. After chelator treatment a switch towards a M1 phenotype was found in cell culture experiments by analyzing RNA expressions of ferroportin by Mertens et al [15]. Here, we observed that high DFO supplementation reduced the CD68 expression without increasing the CD163 expression (M2), despite the increase in apoptotic tumor cell fraction. Cisplatin alone however also decreased the CD68 (M1) population but marginally enhanced the CD163 (M2) population. As described in the literature, iron chelator therapy in combination with cytotoxic treatment could reduce chemotherapy resistance [16, 19, 37]. In addition, iron chelator treatment has shown interactions with macrophage conditioned medium that affects the tumor cell count. A cell culture study where the tumor cell line RCC10 was incubated with M2 conditioned medium showed a higher cell count than in the M1 conditioned group, which was lower than in the control group. Additional DFO supplementation decreased the cell count, despite M2-conditioned medium [12]. Therefore TAM might play an important role in chemotherapy resistance. Our TSC experiments demonstrate that iron chelation alone and in combination with cytotoxic drugs show anti-tumor effects in human slice cultures of gastric cancer. However, in TSC we have a broad heterogeneity of cellular phenotypes and protein expressions. Thus a direct correlation between the phenotype alteration of TAM and tumor survival could not be shown. However, some pre-clinical and clinical trials with iron chelating agents have been accomplished for exploring the potential of cancer treatment [17, 4448]. Although not all patients responded to the iron chelation therapy, many patients had better responses and one case, classified as chemotherapy-non-responder, showed that the primary tumor together with all lung metastases completely disappeared after DFO therapy [44].

Human TSC are an ex-vivo model which may fill the gap between cell culture and clinical studies. The tissue composition, cell-cell interactions and chemo- and cytokine environment of TSC is much more like the in vivo situation compared to standard cell cultures. Most components of the TME co-exists with the tumor cells. However, TSC still need to be evaluated for each different cell population. The influence of neoadjuvant therapy and surgical resections is difficult to estimate. Thus, further steps are the examination of other components of the TME like cancer-associated fibroblasts, different T-cell populations as well as blood and lymph vessels. Furthermore, the stability of the tissue in culture of a longer period should be explored. In future we need more patient-derived material together with clinical studies to identify novel therapeutic possibilities in such a heterogeneous disease like gastric cancer.

In summary, our results demonstrate that TSC of gastric cancer reproduce observations from studies done in mice and cell lines and can deliver additional results concerning the tumor-stroma interaction. Further it could be shown that iron chelation alone and in combination with cytotoxic drugs show clear anti-tumor effects in human slice cultures of gastric cancer.

Materials and Methods

Specimens

Patient-derived specimens were recruited from two academic hospitals in Leipzig, Germany. Seven patients with gastric and esophagogastric junction cancer were included in this study. This study was approved by the ethics committee of the Medical Faculty, University of Leipzig. All patients provided their informed written consent.

Preparation of tumor slice cultures

Slice cultures of gastric cancer samples were prepared as previously described [30]. Briefly, after surgical resection and pathological assessment tumor specimens were cut into 350 μm slices by using a tissue chopper (McIlwain TC752; Campden Instruments, Leicestershire, England). The slices were standardized by a 3mm coring tool (kai Europe, Solingen, Germany). Three tissue slices were randomly pooled for an experimental condition. Then tumor slices were cultivated on membrane inserts (Millipore Corporation, Billerica, MA, USA) in 6-well plates. Slices were incubated under optimized conditions of 37°C and 5% CO2. Medium was changed every 24 h. Baseline tissue was fixated with 4% paraformaldehyde at the day of the preparation and cultivated tissue was fixated overnight after 4 days in vitro.

Experimental setup

The tissue of one specimen was fixated after two, four and six days in vitro without any treatment for TAM location analysis (image stacking). Five neoadjuvant treated specimens were treated after 24 h in vitro with irinotecan (SN38; 100nM, Tocris, Bristol, UK), deferoxamine (100 μM, Sigma-Aldrich, St. Louis, USA) and the combination of irinotecan (100nM) and deferoxamine (100 μM). Two chemo-naive specimens were treated with cisplatin (10 μM, Neocorp, Weilheim, Germany), deferoxamine (100 μM), deferoxamine (10 μM), and the combination of cisplatin (10 μM) and deferoxamine (10 μM). Medium was prepared at the day of preparation and the treatment took place with every medium change (24 h, 48 h, 72 h). The medium from two specimens was frozen after every medium change in liquid nitrogen and were stored at –80° C.

Staining procedure

Tumor slice cultures were fixated overnight with 4% paraformaldehyde, paraffin-embedded and processed to 7 μm sections. After HE staining, the tumor cell proportion was surveyed in the overview. Tumor cell fraction, apoptotic tumor cell fraction, proliferating tumor cell fraction, Lcn2 expression, Ferritin expression, CD68 expression and CD163 expression on TAM were analyzed after immunofluorescence staining. Paraffin sections were deparaffinized, washed with 0.3% phosphate buffered saline/ TritonX and blocked with normal goat serum for 30 minutes before adding primary antibodies. Primary antibodies were diluted in 0.5% bovine serum albumin and incubated at 4°C overnight. We used antibodies against cytokeratins (AE1/3; BioGenex, Fremont, CA, USA, mouse, 1:100), Ki67 (DCS, Hamburg, Germany, rabbit, 1:200), cPARP (abcam, Cambridge, UK rabbit, 1:100), CD68 (Dako, mouse, 1:500), CD163 (abcam, Cambridge, UK, rabbit, 1:200), Ferritin (Sigma-Aldrich, St. Louis, USA, rabbit, 1:800) and lipocalin 2 (NGAL; R&D Systems, Minneapolis, USA, rat, 1:200). After washing with 0.3% phosphate buffered saline/TritonX sections were labeled with secondary antibodies including goat-anti-rabbit 568 (Alexa Fluor, Invitrogen, Eugene, OR, USA), goat-anti-mouse 647 (Alexa Fluor, Invitrogen, Eugene, OR) and goat-anti-rat 647 (Alexa Fluor, Jackson, West Gove, USA). Hoechst 33342 (Sigma-Aldrich, St. Louis, MO, USA) was used for nuclei staining.

Analysis

HE sections were examined by using slide scans (Pannoramic SCAN and Pannoramic Viewer, 3D Histech, Budapest, Hungary). Nine pictures (20x) per condition (three per slice culture) were taken from fluorescent sections by using an Olympus BX51 fluorescent microscope (Olympus Deutschland, Hamburg, Germany). Positive pixels from all fluorescent stainings were counted by using specific algorithms for each stain by ImageJ (modified from Sönnichsen et al. 2017). Total positive pixels of Hoechst 33342, AE1/3, cPARP and Ki67 were counted for cell nuclei (Hoechst 33342-positive), tumor cell fraction (Hoechst33342-, AE1/3-positive), apoptotic tumour cell fraction (Hoechst-, AE1/3-, cPARP-postive) and proliferating tumor cell fraction (Hoechst 33342-, AE1/3-, Ki67-positive). The calculation of tumor cell fraction was based on Hoechst 33342-positive nuclei with co-localization in tumor cell area per total Hoechst 33342-positive nuclei and proliferating or apoptotic tumor cell fraction was based on calculation of co-localized Ki67- or cPARP- and Hoechst 33342-positive nuclei in the tumor cell area per total Hoechst 33342-positive nuclei in the tumor cell area. Lcn2 and ferritin expression from TAM and tumor cells were calculated by counting co-localized pixels of Lcn2 or ferritin and AE1/3 or CD68 respectively and were related to the total pixels of AE1/3 and CD68. CD68 and CD163 expression were analyzed by calculating the proportion of CD68 and CD163 positive pixels per tissue area of the picture.

Inductively coupled plasma mass spectrometry

Iron concentration from slice culture medium was analyzed by ‘MVZ Medizinisches Labor Bremen GmbH’ from Germany. For sample preparation 100μl of the slice culture medium was diluted in 2.4ml deionized water. Samples were analyzed by an Agilent 7700x inductively coupled plasma mass spectrometer equipped with collision-/reaction cell technology. For calculation of quantitative results for Fe the isotope 54Fe was applied. Six calibration solutions containing 0, 1, 2, 5, 10 and 20 μg/l were used for calibration.

Confocal live microscopy

TAM migration was observed by confocal live microscopy in 5 cases. After 24 h incubation with IB4 (Isolectin GS-IB4 Alexa Fluor 647 conjugate, Invitrogen, Carlsbad, USA, 1:333) standardized tumor slice cultures were merged with gastric adjacent healthy tissue cultures to co-cultures. On every day in vitro (DIV1-4) recordings were made in one case. In other cases, TAM migration was recorded 12 to 20 h on DIV1 (representative pictures are shown in Supplementary Figure 1).

Statistical analysis

For combination of different experiments, mean values and SEM were calculated from mean condition values. SEM was not calculated for mean condition value of single specimens, because it only reflects intratumoral heterogeneity. In TAM phenotype expression of specimen #12 we had to calculate the SEM based on the illustration of the graph. GraphPad Prism 6 (GraphPad Software, La Jolla, VA, USA) was used for performing one-way analysis of variance with Bonferroni correction. P < 0.05 was considered significant.

Abbreviations

AE 1/3: pan cytokeratin marker; CD: cluster of differentiation; CDDP: cisplatin - cis-diamminedichloridoplatinum(II); cPARP: cleaved Poly (ADP-ribose) polymerase; CTR: control; DFO: deferoxamine; DIV: days in vitro; HE: hematoxylin and eosin; IB4: isolectin GS-IB4;; IFN-γ: interferon gamma; IL: interleukin; Ki67: MKI67, proliferation marker; LPS: lipopolysaccharide; Lcn2: lipocalin 2; LIP: labile iron pool; NGAL: neutrophil gelatinase-associated lipocalin; PFA: paraformaldehyde; RCC10: renal cell carcinoma (human); SEM: standard error of the mean; SN38: DNA topoisomerase inhibitor, active metabolite of irinotecan; TAM: tumor-associated macrophages; TME: tumor microenvironment; TSC: tumor slice cultures.

Author contributions

Study conception and design: Sebastian Prill, Sonja Kallendrusch, Ingo Bechmann; Acquisition of data: Sebastian Prill, Jakob Rebstock, Anja Tennemann, Justus Körfer, René Thieme, Ines Gockel, Orestis Lyros, Astrid Monecke, Christian Wittekind, Arved Weimann, Kerstin Grosser, Volker Wiechmann, Christoph Kubick, Sonja Kallendrusch; Analysis and interpretation of data: Sebastian Prill, Sonja Kallendrusch; Drafting of manuscript: Sebastian Prill, Sonja Kallendrusch, Florian Lordick; Critical revision: Justus Körfer, René Thieme, Ines Gockel, Orestis Lyros, Astrid Monecke, Christian Wittekind, Arved Weimann, Kerstin Grosser, Volker Wiechmann, Christoph Kubick, Ingo Bechmann, Florian Lordick.

CONFLICTS OF INTEREST

The authors declare no potential conflicts of interest.

FUNDING

Sebastian Prill, supported by the doctoral research study scholarship of the Medical Faculty of the University of Leipzig.

Jakob Rebstock, supported by the doctoral research study scholarship of the Medical Faculty of the University of Leipzig. Rasmus Sönnichsen, supported by the doctoral research study scholarship of the Medical Faculty of the University of Leipzig. Ingo Bechmann, research grant (FKZ 031A579, BMBF) All other authers have nothing to declare.

References

1. Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, 2012. CA Cancer J Clin. 2015; 65:87–108. https://doi.org/10.3322/caac.21262. [PubMed].

2. Lordick F, Lorenzen S, Yamada Y, Ilson D. Optimal chemotherapy for advanced gastric cancer: is there a global consensus? Gastric Cancer. 2014; 17:213–25. https://doi.org/10.1007/s10120-013-0297-z. [PubMed].

3. Liang C, Shi S, Meng Q, Liang D, Ji S, Zhang B, Qin Y, Xu J, Ni Q, Yu X. Complex roles of the stroma in the intrinsic resistance to gemcitabine in pancreatic cancer: where we are and where we are going. Exp Mol Med. 2017; 49:e406. https://doi.org/10.1038/emm.2017.255. [PubMed].

4. Quail DF, Joyce JA. Microenvironmental regulation of tumor progression and metastasis. Nat Med. 2013; 19:1423–37. https://doi.org/10.1038/nm.3394. [PubMed].

5. Rybinski B, Franco-Barraza J, Cukierman E. The wound healing, chronic fibrosis, and cancer progression triad. Physiol Genomics. 2014; 46:223–44. https://doi.org/10.1152/physiolgenomics.00158.2013. [PubMed].

6. Jung M, Mertens C, Bauer R, Rehwald C, Brüne B. Lipocalin-2 and iron trafficking in the tumor microenvironment. Pharmacol Res. 2017; 120:146–56. https://doi.org/10.1016/j.phrs.2017.03.018. [PubMed].

7. Jung M, Weigert A, Mertens C, Rehwald C, Brüne B. Iron Handling in Tumor-Associated Macrophages—Is There a New Role for Lipocalin-2? Front Immunol. 2017; 8:1171. https://doi.org/10.3389/fimmu.2017.01171. [PubMed].

8. Wu MH, Lee WJ, Hua KT, Kuo ML, Lin MT. Macrophage Infiltration Induces Gastric Cancer Invasiveness by Activating the β-Catenin Pathway. PLoS One. 2015; 10:e0134122. https://doi.org/10.1371/journal.pone.0134122. [PubMed].

9. Lewis CE, Pollard JW. Distinct role of macrophages in different tumor microenvironments. Cancer Res. 2006; 66:605–12. https://doi.org/10.1158/0008-5472.CAN-05-4005. [PubMed].

10. 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; 42:717–27. https://doi.org/10.1016/j.ejca.2006.01.003. [PubMed].

11. Mosser DM, Edwards JP. Exploring the full spectrum of macrophage activation. Nat Rev Immunol. 2008; 8:958–69. https://doi.org/10.1038/nri2448. [PubMed].

12. Recalcati S, Locati M, Marini A, Santambrogio P, Zaninotto F, De Pizzol M, Zammataro L, Girelli D, Cairo G. Differential regulation of iron homeostasis during human macrophage polarized activation. Eur J Immunol. 2010; 40:824–35. https://doi.org/10.1002/eji.200939889. [PubMed].

13. Alkhateeb AA, Han B, Connor JR. Ferritin stimulates breast cancer cells through an iron-independent mechanism and is localized within tumor-associated macrophages. Breast Cancer Res Treat. 2013; 137:733–44. https://doi.org/10.1007/s10549-012-2405-x. [PubMed].

14. Ören B, Urosevic J, Mertens C, Mora J, Guiu M, Gomis RR, Weigert A, Schmid T, Grein S, Brüne B, Jung M. Tumour stroma-derived lipocalin-2 promotes breast cancer metastasis. J Pathol. 2016; 239:274–85. https://doi.org/10.1002/path.4724. [PubMed].

15. Mertens C, Akam EA, Rehwald C, Brüne B, Tomat E, Jung M. Intracellular Iron Chelation Modulates the Macrophage Iron Phenotype with Consequences on Tumor Progression. PLoS One. 2016; 11:e0166164. https://doi.org/10.1371/journal.pone.0166164. [PubMed].

16. Ford SJ, Obeidy P, Lovejoy DB, Bedford M, Nichols L, Chadwick C, Tucker O, Lui GY, Kalinowski DS, Jansson PJ, Iqbal TH, Alderson D, Richardson DR, Tselepis C. Deferasirox (ICL670A) effectively inhibits oesophageal cancer growth in vitro and in vivo. Br J Pharmacol. 2013; 168:1316–28. https://doi.org/10.1111/bph.12045. [PubMed].

17. Buss JL, Greene BT, Turner J, Torti FM, Torti SV. Iron chelators in cancer chemotherapy. Curr Top Med Chem. 2004; 4:1623–35. https://doi.org/10.2174/1568026043387269. [PubMed].

18. Lui GY, Kovacevic Z, Richardson V, Merlot AM, Kalinowski DS, Richardson DR. Targeting cancer by binding iron: Dissecting cellular signaling pathways. Oncotarget. 2015; 6:18748–79. https://doi.org/10.18632/oncotarget.4349. [PubMed].

19. Ninomiya T, Ohara T, Noma K, Katsura Y, Katsube R, Kashima H, Kato T, Tomono Y, Tazawa H, Kagawa S, Shirakawa Y, Kimura F, Chen L, et al. Iron depletion is a novel therapeutic strategy to target cancer stem cells. Oncotarget. 2017; 8:98405–16. https://doi.org/10.18632/oncotarget.21846. [PubMed].

20. Kasai F, Hirayama N, Ozawa M, Iemura M, Kohara A. Changes of heterogeneous cell populations in the Ishikawa cell line during long-term culture: proposal for an in vitro clonal evolution model of tumor cells. Genomics. 2016; 107:259–66. https://doi.org/10.1016/j.ygeno.2016.04.003. [PubMed].

21. Kato S, Espinoza N, Lange S, Villalón M, Cuello M, Owen GI. Characterization and phenotypic variation with passage number of cultured human endometrial adenocarcinoma cells. Tissue Cell. 2008; 40:95–102. https://doi.org/10.1016/j.tice.2007.09.007. [PubMed].

22. Gillet JP, Varma S, Gottesman MM. The clinical relevance of cancer cell lines. J Natl Cancer Inst. 2013; 105:452–58. https://doi.org/10.1093/jnci/djt007. [PubMed].

23. Bläuer M, Tammela TL, Ylikomi T. A novel tissue-slice culture model for non-malignant human prostate. Cell Tissue Res. 2008; 332:489–98. https://doi.org/10.1007/s00441-008-0602-z. [PubMed].

24. Donnadieu J, Lachaier E, Peria M, Saidak Z, Dakpe S, Ikoli JF, Chauffert B, Page C, Galmiche A. Short-term culture of tumour slices reveals the heterogeneous sensitivity of human head and neck squamous cell carcinoma to targeted therapies. BMC Cancer. 2016; 16:273. https://doi.org/10.1186/s12885-016-2318-x. [PubMed].

25. Gerlach MM, Merz F, Wichmann G, Kubick C, Wittekind C, Lordick F, Dietz A, Bechmann I. Slice cultures from head and neck squamous cell carcinoma: a novel test system for drug susceptibility and mechanisms of resistance. Br J Cancer. 2014; 110:479–88. https://doi.org/10.1038/bjc.2013.700. [PubMed].

26. Karekla E, Liao WJ, Sharp B, Pugh J, Reid H, Quesne JL, Moore D, Pritchard C, MacFarlane M, Pringle JH. Ex Vivo Explant Cultures of Non-Small Cell Lung Carcinoma Enable Evaluation of Primary Tumor Responses to Anticancer Therapy. Cancer Res. 2017; 77:2029–39. https://doi.org/10.1158/0008-5472.CAN-16-1121. [PubMed].

27. Koerfer J, Kallendrusch S, Merz F, Wittekind C, Kubick C, Kassahun WT, Schumacher G, Moebius C, Gaßler N, Schopow N, Geister D, Wiechmann V, Weimann A, et al. Organotypic slice cultures of human gastric and esophagogastric junction cancer. Cancer Med. 2016; 5:1444–53. https://doi.org/10.1002/cam4.720. [PubMed].

28. Merz F, Gaunitz F, Dehghani F, Renner C, Meixensberger J, Gutenberg A, Giese A, Schopow K, Hellwig C, Schäfer M, Bauer M, Stöcker H, Taucher-Scholz G, et al. Organotypic slice cultures of human glioblastoma reveal different susceptibilities to treatments. Neuro Oncol. 2013; 15:670–81. https://doi.org/10.1093/neuonc/not003. [PubMed].

29. Naipal KAT, Verkaik NS, Sánchez H, van Deurzen CHM, den Bakker MA, Hoeijmakers JHJ, Kanaar R, Vreeswijk MPG, Jager A, van Gent DC. Tumor slice culture system to assess drug response of primary breast cancer. BMC Cancer. 2016; 16:78. https://doi.org/10.1186/s12885-016-2119-2. [PubMed].

30. Sönnichsen R, Hennig L, Blaschke V, Winter K, Körfer J, Hähnel S, Monecke A, Wittekind C, Jansen-Winkeln B, Thieme R, Gockel I, Grosser K, Weimann A, et al. Individual Susceptibility Analysis Using Patient-derived Slice Cultures of Colorectal Carcinoma. Clin Colorectal Cancer. 2018; 17:e189–e199. https://doi.org/10.1016/j.clcc.2017.11.002. [PubMed].

31. Vaira V, Fedele G, Pyne S, Fasoli E, Zadra G, Bailey D, Snyder E, Faversani A, Coggi G, Flavin R, Bosari S, Loda M. Preclinical model of organotypic culture for pharmacodynamic profiling of human tumors. Proc Natl Acad Sci USA. 2010; 107:8352–56. https://doi.org/10.1073/pnas.0907676107. [PubMed].

32. Blatt J, Stitely S. Antineuroblastoma activity of desferoxamine in human cell lines. Cancer Res. 1987; 47:1749–50. [PubMed].

33. Darnell G, Richardson DR. The potential of iron chelators of the pyridoxal isonicotinoyl hydrazone class as effective antiproliferative agents III: the effect of the ligands on molecular targets involved in proliferation. Blood. 1999; 94:781–92. [PubMed].

34. DeConti RC, Toftness BR, Agrawal KC, Tomchick R, Mead JA, Bertino JR, Sartorelli AC, Creasey WA. Clinical and pharmacological studies with 5-hydroxy-2-formylpyridine thiosemicarbazone. Cancer Res. 1972; 32:1455–62. [PubMed].

35. Chung IH, Wu TI, Liao CJ, Hu JY, Lin YH, Tai PJ, Lai CH, Lin KH. Overexpression of lipocalin 2 in human cervical cancer enhances tumor invasion. Oncotarget. 2016; 7:11113–26. https://doi.org/10.18632/oncotarget.7096. [PubMed].

36. Jung M, Mertens C, Brüne B. Macrophage iron homeostasis and polarization in the context of cancer. Immunobiology. 2015; 220:295–304. https://doi.org/10.1016/j.imbio.2014.09.011. [PubMed].

37. Miyamoto T, Kashima H, Yamada Y, Kobara H, Asaka R, Ando H, Higuchi S, Ida K, Mvunta DH, Shiozawa T. Lipocalin 2 Enhances Migration and Resistance against Cisplatin in Endometrial Carcinoma Cells. PLoS One. 2016; 11:e0155220. https://doi.org/10.1371/journal.pone.0155220. [PubMed].

38. Xiao X, Yeoh BS, Vijay-Kumar M. Lipocalin 2: An Emerging Player in Iron Homeostasis and Inflammation. Annu Rev Nutr. 2017; 37:103–30. https://doi.org/10.1146/annurev-nutr-071816-064559. [PubMed].

39. Candido S, Maestro R, Polesel J, Catania A, Maira F, Signorelli SS, McCubrey JA, Libra M. Roles of neutrophil gelatinase-associated lipocalin (NGAL) in human cancer. Oncotarget. 2014; 5:1576–94. https://doi.org/10.18632/oncotarget.1738. [PubMed].

40. Wilson BR, Bogdan AR, Miyazawa M, Hashimoto K, Tsuji Y. Siderophores in Iron Metabolism: From Mechanism to Therapy Potential. Trends Mol Med. 2016; 22:1077–90. https://doi.org/10.1016/j.molmed.2016.10.005. [PubMed].

41. Devireddy LR, Gazin C, Zhu X, Green MR. A cell-surface receptor for lipocalin 24p3 selectively mediates apoptosis and iron uptake. Cell. 2005; 123:1293–305. https://doi.org/10.1016/j.cell.2005.10.027. [PubMed].

42. Mertens C, Mora J, Ören B, Grein S, Winslow S, Scholich K, Weigert A, Malmström P, Forsare C, Fernö M, Schmid T, Brüne B, Jung M. Macrophage-derived lipocalin-2 transports iron in the tumor microenvironment. Oncoimmunology. 2017; 7:e1408751. https://doi.org/10.1080/2162402X.2017.1408751. [PubMed].

43. Zhang M, He Y, Sun X, Li Q, Wang W, Zhao A, Di W. A high M1/M2 ratio of tumor-associated macrophages is associated with extended survival in ovarian cancer patients. J Ovarian Res. 2014; 7:19. https://doi.org/10.1186/1757-2215-7-19. [PubMed].

44. Yamasaki T, Terai S, Sakaida I. Deferoxamine for advanced hepatocellular carcinoma. N Engl J Med. 2011; 365:576–78. https://doi.org/10.1056/NEJMc1105726. [PubMed].

45. Hatcher HC, Singh RN, Torti FM, Torti SV. Synthetic and natural iron chelators: therapeutic potential and clinical use. Future Med Chem. 2009; 1:1643–70. https://doi.org/10.4155/fmc.09.121. [PubMed].

46. Donfrancesco A, De Bernardi B, Carli M, Mancini A, Nigro M, De Sio L, Casale F, Bagnulo S, Helson L, Deb G, and Italian Neuroblastoma Cooperative Group. Deferoxamine followed by cyclophosphamide, etoposide, carboplatin, thiotepa, induction regimen in advanced neuroblastoma: preliminary results. Eur J Cancer. 1995; 31A:612–15. https://doi.org/10.1016/0959-8049(95)00068-T. [PubMed].

47. Donfrancesco A, Deb G, Dominici C, Pileggi D, Castello MA, Helson L. Effects of a single course of deferoxamine in neuroblastoma patients. Cancer Res. 1990; 50:4929–30. [PubMed].

48. Blatt J. Deferoxamine in children with recurrent neuroblastoma. Anticancer Res. 1994; 14:2109–12. [PubMed].


Creative Commons License All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 4.0 License.
PII: 27089