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ORIGINAL RESEARCH article

Front. Cell Dev. Biol., 17 February 2022
Sec. Cell Growth and Division
This article is part of the Research Topic The Regulating Mechanisms of Development, Growth, and Metabolism: From Ground to Space View all 7 articles

Three-Dimensional Growth of Prostate Cancer Cells Exposed to Simulated Microgravity

  • 1Department of Microgravity and Translational Regenerative Medicine, Otto von Guericke University Magdeburg, Magdeburg, Germany
  • 2Research Group “Magdeburger Arbeitsgemeinschaft für Forschung unter Raumfahrt- und Schwerelosigkeitsbedingungen” (MARS), Otto von Guericke University Magdeburg, Magdeburg, Germany
  • 3Department of Biomedicine, Aarhus University, Aarhus, Denmark
  • 4Department of Ophthalmology, Aarhus University Hospital, Aarhus, Denmark
  • 5Radiobiology Unit, SCK CEN, Belgian Nuclear Research Centre, Mol, Belgium
  • 6Department of Molecular Biotechnology, Ghent University, Ghent, Belgium
  • 7Institute of Anatomy, Otto von Guericke University Magdeburg, Magdeburg, Germany

Prostate cancer metastasis has an enormous impact on the mortality of cancer patients. Factors involved in cancer progression and metastasis are known to be key players in microgravity (µg)-driven three-dimensional (3D) cancer spheroid formation. We investigated PC-3 prostate cancer cells for 30 min, 2, 4 and 24 h on the random positioning machine (RPM), a device simulating µg on Earth. After a 24 h RPM-exposure, the cells could be divided into two groups: one grew as 3D multicellular spheroids (MCS), the other one as adherent monolayer (AD). No signs of apoptosis were visible. Among others, we focused on cytokines involved in the events of metastasis and MCS formation. After 24 h of exposure, in the MCS group we measured an increase in ACTB, MSN, COL1A1, LAMA3, FN1, TIMP1, FLT1, EGFR1, IL1A, IL6, CXCL8, and HIF1A mRNA expression, and in the AD group an elevation of LAMA3, COL1A1, FN1, MMP9, VEGFA, IL6, and CXCL8 mRNAs compared to samples subjected to 1 g conditions. Significant downregulations in AD cells were detected in the mRNA levels of TUBB, KRT8, IL1B, IL7, PIK3CB, AKT1 and MTOR after 24 h. The release of collagen-1α1 and fibronectin protein in the supernatant was decreased, whereas the secretion of IL-6 was elevated in 24 h RPM samples. The secretion of IL-1α, IL-1β, IL-7, IL-2, IL-8, IL-17, TNF-α, laminin, MMP-2, TIMP-1, osteopontin and EGF was not significantly altered after 24 h compared to 1 g conditions. The release of soluble factors was significantly reduced after 2 h (IL-1α, IL-2, IL-7, IL-8, IL-17, TNF-α, collagen-1α1, MMP-2, osteopontin) and elevated after 4 h (IL-1β, IL-2, IL-6, IL-7, IL-8, TNF-α, laminin) in RPM samples. Taken together, simulated µg induced 3D growth of PC-3 cancer cells combined with a differential expression of the cytokines IL-1α, IL-1β, IL-6 and IL-8, supporting their involvement in growth and progression of prostate cancer cells.

Introduction

As estimated by GLOBOCAN (Global Cancer Observatory) in 2020, prostate cancer (PC) comprises an incidence of almost 1.4 million new cases and 375,000 deaths worldwide (Sung et al., 2021). PC was the second most frequent cancer and the fifth leading cause of cancer death among men in 2020 (Sung et al., 2021). Adenocarcinomas are the most common types of PC, and in general PC progresses very slowly. The 5-years survival rate for most men with local or regional PC is nearly 100%, but if diagnosed with PC metastasis, the 5-years survival rate is reduced to 31% (Gandaglia et al., 2014).

This shows that metastasis of PC has a vast impact on the mortality and the overall quality of life of patients. Compared to other cancer types, PC metastasizes predominantly to the skeleton (84%) and the lymph nodes (10.6%) (Gandaglia et al., 2014). Additionally, spreading to the liver (10.2%) and thorax (9.1%) is also common (Gandaglia et al., 2014). Metastatic PC is mostly terminal even after intensive multimodal treatment. Therefore, there is an urgent need to increase the knowledge of PC biology, genomics, proteomics and advanced profiling technologies in order to find new drug development targets.

In context of PC expansion, proteins released by the PC cells (PCC) into the interstitial space are of high interest. Secreted factors such as cytokines and chemokines are released into the tumor microenvironment and play a key role in cancer progression. Cytokines are released in response to immune reactions like infection, inflammation and immunity in order to inhibit tumor development and progression. The tumor cells can respond just as well to cytokines that induce cancer growth, reduce programmed cell death and facilitate invasion and metastasis (Dranoff, 2004). Thus, cytokines, their receptors and specific signaling pathways are key factors in driving the specific events leading to metastasis of PC (Dranoff, 2004; Adekoya and Richardson, 2020).

Moreover, cytokines are key players in all events of the metastatic process and hence, they remodel the extracellular matrix, influence the epithelial-mesenchymal-transition, invasion, angiogenesis, and the processes involved in the establishment of tumor cells in the secondary organs (Adekoya and Richardson, 2020).

An extraordinary and novel approach to investigate tumor cell processes is using microgravity (μg), either with real (r-) μg in space or simulated (s-) μg by ground-based devices like the random positioning machine (RPM) (Becker and Souza, 2013). Space provides special physical conditions which cannot be reproduced on Earth, as well as μg conditions which are used to investigate molecular mechanisms and signaling processes controlling cell growth and function (Becker and Souza, 2013). Cancer research in space and molecular biological studies on cells exposed to r- and/or s-μg are therefore a hot topic in space medicine (Krüger et al., 2019; Grimm et al., 2020; Nassef et al., 2020).

Previous research revealed that r- and s-μg have a large impact on the biochemistry and physiology of human cells. This comprises various changes, such as alterations of the extracellular matrix (ECM), the focal adhesion complex, the cytoskeleton, growth behavior, as well as changes in differentiation and proliferation (Nassef et al., 2019). Moreover, Häder et al. (Häder et al., 2017) suggested a direct correlation of the µg-induced cytoskeletal changes and transcriptional alterations. They concluded that the interaction of the ECM, cell adhesion and the cytoskeleton is of great importance for gravisensing in human cells. Cytoskeletal alterations detected in human cells exposed to µg were described as follows: microtubules are regularly localized more around the nucleus and might lose their radial organization, are shortened, as well as more curved and bent. The F-actin network is altered and the number of stress fibers reduced. F-actin is redistributed and is situated more perinuclear or is localized more cortical. Intermediate filaments (vimentin, cytokeratin) form clusters, reveal larger meshes and are localized more perinuclear (Vorselen et al., 2014). These findings obtained from fixed cells were recently confirmed by live-cell imaging in r-µg (Corydon et al., 2016a; Nassef et al., 2019).

Moreover, s- and r-µg influenced ECM proteins in a time-dependent manner (Infanger et al., 2006) and cell-type dependent, resulting in increases or decreases of ECM components (Infanger et al., 2006; Marrero et al., 2009; Zhivodernikov et al., 2020). In addition, PC MCS engineered on the RPM revealed a decrease in COL1A1 after 3 days and an increase after 5 days, whereas basement components like COL4A5 and LAMA3 as well as the cell adhesion molecule FN1 were elevated in MCS at both time points (Hybel et al., 2020). These findings indicate that the cells try to expand the ECM in MCS to stabilize themselves and to resist the s-μg conditions, as the ECM provides structural support for the cells (Bonnans et al., 2014).

In addition, lack of gravity and/or RPM exposure of various cell types was shown to promote cell growth in a scaffold-free three-dimensional (3D) way, forming MCS (Riwaldt et al., 2016; Grimm et al., 2020). MCS are 3D aggregates exhibiting complex cell-to-cell and cell-to-matrix interactions. These interactions have been reported to induce gradients for nutrients, gases, growth factors and signal factors. This 3D structure reflects the natural microenvironment of cells more accurately than 2D monocultures and also resembles the microenvironment of real tissues (Mehta et al., 2012; Cui et al., 2017). Several cancer cell-types like thyroid and breast cancer cells exposed to an RPM formed MCS within 24 h (Kopp et al., 2016; Riwaldt et al., 2016).

3D PC aggregates (PC-3, LNCaP and DU-145 cell lines) engineered on microgravity simulators and the subsequent formation of 3D spheroids was demonstrated on both, the NASA rotary cell culture system and the RPM (Ingram et al., 1997; Hybel et al., 2020).

Understanding the biology of spheroids is very important for a more complete appreciation of in vivo tissue formation and function. MCS are frequently used to study molecular mechanisms involved in angiogenesis, cancer development, and biology and for pharmacological testing. Unveiling the mechanisms of microgravity-dependent molecular and cellular changes is an up-to-date requirement for improving space medicine and cancer research (Becker and Souza, 2013; Krüger et al., 2019; Nassef et al., 2020). A clear advantage of microgravity is that it enables the engineering of MCS without any scaffolds. Moreover, long-term experiments using thyroid cancer cells show that FTC-133 spheroids and EA.hy926 spheroids or intima constructs did not develop a central necrosis, when exposed to an RPM (Kopp et al., 2015; Dittrich et al., 2018).

Therefore, spheroids formation in µg is an innovative approach to study the early phases of tumor progression and metastasis. The PI3K/AKT/mTOR (PAM) signaling pathway is frequently mutated in prostate cancer and thus a good candidate for the involvement in tumor progression (Tee et al., 2018). It is regulating growth, metabolism, and migration of PCC.

In this study we investigated the impact of short-term (30 min, 2, 4 and 24 h) s-µg-exposure via RPM on PC-3 prostate cancer cells, which were established from an adenocarcinoma. The principal aim of this study was to measure the gene expression and secretion rate of cytokines in PCC. Secondly, we focused on the altered gene expression of cytoskeletal factors and the extracellular matrix (ECM). Third, a special focus was placed on the PAM signaling pathway, which is proposed to be the underlying mechanism of spheroid formation in PC. Fourth, we engineered 3D spheroids under 1g-conditions by the liquid-overlay technique to use them as a control for the 3D spheroids in simulated microgravity and studied the gene expression of selected factors in 1g-MCS.

Materials and Methods

Cell Cultures

The PC-3 cell line (ECACC 90112714) was purchased from the European Collection of Authenticated Cell Cultures (ECACC). The cells originated from a 62-year-old male Caucasian suffering from grade 4 prostatic adenocarcinoma.

3·106 cells were seeded into T75 cm2 flasks (Sarstedt, Nümbrecht, Germany) and cultured using RPMI 1640 medium (Gibco, Fisher Scientific, Schwerte, Germany), supplemented with 10% FCS (Sigma Aldrich, Steinheim, Germany) and 1% penicillin/streptomycin (Life Technologies, New York, United States). Every 3 days the medium was changed, and upon reaching 70–80% confluence, the cells were split at a 1:10 ratio.

Simulated Microgravity on the iRPM and Sample Collection

In preparation for the experiments in s-µg on the incubator RPM (iRPM), 10 T25 cm2 flasks (Sarstedt, Nümbrecht, Germany; order nr. 83.3910.002 vented caps) per group were filled each with 2·106 cells in 13 ml RPMI 1640 medium (Life Technologies, Paisley, United Kingdom), complemented with 10% FCS (Sigma Aldrich, Steinheim, Germany) and 1% penicillin/streptomycin (Life Technologies, New York, United States), and kept in 1 g conditions (37°C, 5% CO2) for 1 day to let the cells adhere. Afterwards, the flasks were filled entirely with growth medium, avoiding the formation of air bubbles. Furthermore, the bottle caps were secured at the edges with parafilm, sparing the ventilated area. Five flasks of each group were placed and fixed inside the incubator on the iRPM, while the other five remained under 1g standard conditions (both 37°C, 5% CO2). After the duration of 30 min, 2 h, and 4 h, respectively, the cell culture supernatants were collected in 50 ml tubes and stored at −150°C. Then 2 ml RNAlater Stabilization Solution (Invitrogen by Thermo Fischer Scientific, Waltham, MA, United States) was added to the flasks and the cells mechanically detached with cell scrapers. The resulting cell suspensions were collected in 15-ml tubes and stored at 4°C until further processing.

For the immunofluorescence staining, 0.2·105 cells were seeded into 4 slideflasks (Thermo Scientific) and incubated for 36 h. At this timepoint the culture medium was discarded, the slideflasks completely filled with fresh RPMI 1640 medium (Life Technologies, Paisley, United Kingdom) containing 10% FCS (Sigma Aldrich, Steinheim, Germany) and 1% penicillin/streptomycin (Life Technologies, New York, United States), and sealed with parafilm air bubble-free. Following, two flasks were cultured on the iRPM for 24 h, while two were left in the incubator under standard conditions as controls. After the experiment, the medium was discarded and the slides were fixed with 4% Paraformaldehyde (PFA, Sigma-Aldrich, St. Louis, Missouri, United States) in phosphate-buffered saline (PBS; Gibco, Life Technologies, Paisley, United Kingdom).

The iRPM was constructed by the group of Professor Jörg Sekler at the Fachhochschule Nordwestschweiz (Windisch AG, Switzerland). Details on the iRPM are described in (Benavides Damm et al., 2014).

Liquid Overlay

The liquid-overlay technique is an established method to generate 3D cell aggregates in static culture (Svejgaard et al., 2015). In short, 96-well plates are coated with 40 µl of 1% agarose in RPMI 1640 medium. After hardening of the gel, 4,000 cells/200 µl in RPMI 1640 supplemented with 10% FCS and 1% Pen/Strep were incubated as described in 4.1 for 24 h. This step was followed by microscopic evaluation of cell viability using Ready Probes for live cell imaging (Thermo Scientific, Waltham, Massachusetts, United States) and cell aggregate collection for quantitative real-time PCR. Five 96-well plates were seeded and spheroids of one plate were collected to make up one PCR sample. As a control, adherently growing cells were cultured for 24 h in five standard T25 cm2 cell culture flasks.

Quantitative Real-Time Polymerase Chain Reaction (qPCR)

The expression levels of the genes of interest were determined via qPCR. Primer Express software (Applied Biosystems) was used to design appropriate primers with a Tm of ∼60°C (Table 1). The primers were synthesized by TIB Molbiol (Berlin, Germany) and all assays were run on a 7,500 Fast Real-Time PCR System using the FAST SYBR™ Green Master Mix (both Applied Biosystems, Darmstadt, Germany). The reaction volume was 15 μL including 1 μL of template cDNA and a final primer concentration of 500 nM. PCR conditions were as follows: 20 s at 95°C, 40 cycles of 30 s at 95°C and 30 s at 60°C, followed by a melting curve analysis step (temperature gradient from 60 to 95°C with +0.3°C/cycle).

TABLE 1
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TABLE 1. Primers used for qPCR analyses.

If all amplicons showed one single Tm similar to the one predicted by the Primer Express software, the PCR reactions were considered specific. Every sample was measured in triplicates, and relative quantification was performed by means of the comparative CT (ΔΔCT) method. 18S rRNA was used as a housekeeping gene to normalize the expression data.

Immunofluorescence

Following the removal of PFA, the cells were washed twice with PBS and permeabilized with 0.2% Triton. After blocking with 3% bovine serum albumin (BSA) in PBS for 1 h, the primary antibody was added and incubated at 4°C overnight. The next day, the cells were washed twice with PBS, the secondary antibody was added and incubated for 1 h. Afterwards, the cells were rinsed three times with PBS and mounted with DAPI fluoroshield and a cover slip. A list of antibodies and probes used for immunofluorescence staining is given in Table 2.

TABLE 2
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TABLE 2. Materials used for immunofluorescence.

Multiplex Bead Array

Collagen I alpha I, fibronectin, interleukin (IL)-1α/1F1, IL-1β/1F2, IL-2, IL-6, IL-7, IL-8/CXCL8, IL-17/17-A, tumor necrosis factor alpha (TNF-α), matrix metalloproteinase-2 (MMP-2), epidermal growth factor (EGF), serpin E1/plasminogen activator inhibitor-1 (PAI-1), osteopontin (OPN), chemokine (C-C motif) ligand 2 (CCL2)/monocyte chemoattractant protein 1 (MCP-1), tissue inhibitor metalloproteinases metallopeptidase inhibitor 1 (TIMP-1) and laminin levels in cell culture supernatant were analyzed using a multiplex magnetic bead array (R&D systems, Minneapolis, United States). Assays were performed according to manufacturer’s instructions. Samples were run on a MAGPIX instrument (Luminex, s-Hertogenbosch, Netherlands) and analyzed with MILLIPEX analyst standard version 5.1 (Merck, Darmstadt, Germany).

Microscopy

After immunofluorescence staining, the slides were investigated using confocal laser scanning microscopy. The observations were made with a Leica DM 2000 microscope equipped with a 40x objective and an external light source Leica EL 6000 (Leica Microsystems GmbH, Wetzlar, Germany).

Statistical Analysis

The statistics were performed using the GraphPad Prism 7.01 software (GraphPad Software, Inc., California, United States). Differences between s-µg samples and related controls were assessed with the Mann-Whitney U-test, p-values < 0.05 were considered significant.

Results

Cell Growth, Morphology and Cell Viability

Culture flasks containing 70% sub-confluent PC-3 cells were mounted on the RPM for 30 min, 2, 4 and 24 h. The 1g control samples were placed next to the RPM and cultured in parallel. PC-3 cells cultured under 1g-conditions grew as 2D monolayer cultures (Figure 1A). PC-3 cells exposed to the RPM for 30 min, 2 and 4 h showed no three-dimensional (3D) growth and grew adherently on the cell culture flask bottom (not shown). Phase contrast microscopy showed normal epithelial PC-3 cells exhibiting numerous microvilli, abnormal nuclei and nucleoli. The cells subjected to short-term exposure (30 min, 2 h, and 4 h) to the RPM compared to 1g samples revealed no visible morphological changes. No dead cells were detectable. 3D multicellular spheroids could be detected in the supernatant after a 24 h RPM exposure. Thus, there are two different phenotypes of PC-3 cells visible: adherently growing cells (AD) and detached 3D MCS (Figures 1B,C) We used a “terminal deoxynucleotidyl transferase dUTP nick end labeling” (TUNEL) assay to detect DNA breaks formed during the final phase of apoptosis, when DNA fragmentation takes place. No apoptotic cells were visible in all AD cell samples irrespective of RPM exposure or not. Sporadic apoptotic cells were detected in MCS (Figure 1D). In addition, we focused on apoptosis signaling. Genes associated with apoptosis such as CASP3, CASP8, and CASP9 mRNAs were not significantly changed after short-term incubation (30 min, 2 h, and 4 h) as well as after 24 h on the RPM compared to 1g (Figures 1E–G). We studied the gene expression of HIF1A (hypoxia inducible factor 1) in PC-3 cells exposed for 24 h to s-µg conditions. The HIF1A mRNA in AD cells was not altered, but significantly elevated in MCS (Figure 1H).

FIGURE 1
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FIGURE 1. Phase contrast microscopy of PC-3 cells: (A) static 1g control cells (Scale bar 100 µm) and (B,C) 24 h RPM-exposed samples showing detached spheroids swimming above adherently growing cells (scale bar (B) 100 µm and (C) 200 µm). (D) Terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) assay and 4′,6-diamidino-2-phenylindole (DAPI) staining revealed no apoptotic cells in 1g controls (scale bar 20 µm) and also no apoptosis in RPM-exposed AD (scale bar 20 µm and MCS cells (scale bar 100 µm). The positive control, induced by DNase, is given in the first row (Scale bar 20 µm). (E,F,G) The CASP3, CASP8 and CASP9 (30 min, 2, 4 and 24 h) gene expression was not significantly altered at all time points. (H) The gene expression of HIF1A after 24 h was not changed in AD cells, but significantly elevated in MCS compared to 1g (n = 5).

Spheroids Engineered Under 1g-Conditions

The liquid-overlay technique was used to obtain MCS under 1g-conditions within 24 h. We microscopically investigated the MCS formation and their viability. Figure 2A presents a representative cell aggregate formed within 24 h. In comparison to the MCS built on the RPM, the cells are loosely united. Figure 2B presents the cell viability staining. While all nuclei are stained blue, compromised nuclei, representing non-viable cells, are stained green. Compared to the MCS engineered on the RPM, the cell viability of MCS formed under 1g-conditions (Figure 2B) seems to be lower. The gene expression of CASP3, CASP8 and CASP9 (Figures 2C–E) was significantly upregulated in 1g-MCS compared to control samples.

FIGURE 2
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FIGURE 2. Phase contrast microscopy of PC-3 cells: (A) static 1g-MCS after 24 h using the liquid overlay technique (scale bar 100 µm) and (B) same sample using the live cell viability assay, where the blue color indicates the nuclei of all cells while the green color demonstrates compromised cells. (C,D,E) The CASP3, CASP8 and CASP9 (24 h) gene expression was significantly altered in 1g-MCS after 24 h (n = 5).

The Cytoskeleton

The cytoskeletal protein β-actin (ACTB) is widely distributed in all eukaryotic cells and is involved in cell migration, cell division, cell structure, cell integrity and immune response. After 24 h RPM exposure an increase in the ACTB gene expression was measured in MCS, but not in the adherent cells compared to 1g (Figure 3A). MCS built under 1g-conditions showed a significant upregulation of ACTB in comparison to control samples. A short-term (30 min, 2 h, and 4 h) RPM exposure of PC-3 cells did not change the gene expression level of ACTB.

FIGURE 3
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FIGURE 3. Gene expression of (A) ACTB, (B) TUBB, (C) EZR, (D) RDX, (E) MSN and (F) KRT8 of PC-3 cells exposed to the RPM for 30 min, 2, 4 and 24 h and 1g-MCS after 24 h. n = 5; *p < 0.05 vs. 1g.

The TUBB gene expression did not change when PC-3 cells were exposed to short-term s-µg (Figure 3B). In contrast, AD cells exhibited a downregulated TUBB expression after 24 h compared to 1g cells. PC-3 cells growing in MCS did not show a change in TUBB expression. No significant differential EZR and RDX gene expression could be observed over the experiment duration (Figure 3C, Figure 3D respectively). Interestingly, the MSN mRNA was downregulated after a 30-min RPM exposure, whereas the gene was upregulated in MCS after 24 h compared to corresponding static 1g samples (Figure 3E). In addition, the KRT8 mRNA was significantly downregulated in AD after 24 h compared to 1g (Figure 3F). While in RPM samples were only marginal expression changes visible, the investigations of these genes in 1g-MCS showed a significant upregulation of the cytoskeletal genes (Figures 3A–F).

The Extracellular Matrix

The mRNA expression of FN1 was significantly upregulated in PC-3 cells growing in the AD monolayer and in MCS when cultured under conditions of s-µg for 24 h. Short-term s-µg did not induce changes in the FN1 gene expression of PC-3 cells. In addition, MCS grown under 1g-conditions revealed no expression changes of FN1 (Figure 4A). The immunofluorescence staining revealed a similar amount of fibronectin in the cytoplasm of the PC-3 cells exposed for 24 h to the RPM compared to static control cells (Figure 4A, right image). MCS cells revealed a loose connection between neighboring cells and an uneven distribution of fibronectin within the cells which is in contrast to the 1g AD and RPM AD cells. In parallel, the PC-3 cells exposed to the RPM secreted a significantly reduced amount of fibronectin into the supernatant within 24 h (Table 3). The amount of secreted fibronectin was similar in all groups after 2 and 4 h of RPM exposure (Table 3).

FIGURE 4
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FIGURE 4. Extracellular matrix: Gene expression of (A) FN1 and immunofluorescence of fibronectin: left two images of the 1g/24 h sample (merged left picture and fibronectin (Alexa Fluor 488) right picture), top right two images of the RPM/24 h MCS samples (merged left picture and fibronectin right picture) and lower right two images of the RPM/24 h AD samples (merged left picture and fibronectin right picture), DAPI-stained nucleus (blue), (B) COL1A1, (C) LAMA3, (D) SPP1, (E) MMP9, and (F) TIMP1 of PC-3 cells exposed to the RPM for 30 min, 2, 4 and 24 h and 1g-MCS after 24 h. n = 5; *p < 0.05 vs. 1g.

TABLE 3
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TABLE 3. Secreted proteins of PC-3 cells [pg/mL]. n = 5; *p < 0.05 vs. 1g.

Moreover, the COL1A1 gene expression was not significantly changed when exposed to short-term (30 min, 2 h, 4 h) s-µg. In contrast, after a 24 h RPM exposure there was a significant upregulation of COL1A1 detectable in both AD and MCS samples while 1g-MCS revealed a significantly reduced expression of COL1A1 (Figure 4B). In addition, collagen-1α1 was released by the PC-3 cells in a significant lower amount after a 2 and 24 h RPM exposure compared to control samples (Table 3).

A similar result in respect to the gene expression was found for LAMA3 in 24 h RPM-exposed cells. LAMA3 was significantly upregulated in AD and MCS after 24 h. No expression change was detected in 1g-MCS (Figure 4C). The secretion of laminin by the cells was significantly elevated after 2 and 4 h in RPM samples, but the release was not significantly altered in 24 h cultures (Table 3).

Furthermore, the SPP1 mRNA was not changed when the cells were exposed to the RPM and was not detectable by qPCR in 1g-MCS (Figure 4D). The release of osteopontin into the cell supernatant was reduced early, but remained later unchanged compared to 1g samples (Table 3).

Finally, the gene expression of MMP9 was significantly increased in AD cells after a 24 h-RPM-exposure and was not detectable in 1g-MCS (Figure 4E), whereas TIMP1 was elevated in RPM-MCS as well as in 1g-MCS (Figure 4F). The secretion of TIMP1 was not changed at any timepoint (Table 1). After 2 h, the release of MMP-2 protein in the supernatant was significantly lower in RPM cultures but remained unchanged in 4 and 24 h cell cultures exposed to 1g- or RPM-conditions (Table 3).

The Impact of Simulated Microgravity on Proinflammatory Cytokines

We focused on the expression and secretion of proliferation of proinflammatory cytokines known to be involved in tumor progression and metastasis. A significant upregulation of IL6 was found already after 2 h in RPM samples. The IL6 gene expression remained elevated after 4 and 24 h in RPM samples (Figure 5A). The release of IL-6 in the supernatant was significantly enhanced in all RPM samples after 2, 4 and 24 h (Table 3).

FIGURE 5
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FIGURE 5. Proinflammatory cytokines: Gene expression of (A) IL6 and (B) CXCL8 mRNA, (C) IL1B, and (D) TGFB1 of PC-3 cells exposed to the RPM for 30 min, 2, 4 and 24 h and 1g-MCS after 24 h. n = 5; *p < 0.05 vs. 1g.

In parallel, the CXCL8 mRNA was significantly upregulated already after 2 and 4 h in PC-3 cells exposed to the RPM. In addition, CXCL8 was elevated in AD after 24 h compared to 1g cells (Figure 5B). The amount of released IL-8 protein in the supernatant was reduced after 2 h, but clearly elevated after 4 h in RPM samples compared to corresponding 1g samples (Table 3). After 24 h the cells secreted an equal amount of IL-8 in the supernatant, irrespective of RPM exposure or static 1g culture conditions (Table 3).

The IL1B mRNA expression was downregulated in RPM samples after 30 min, then upregulated after 2 and 4 h and finally downregulated in AD and MCS samples after 24 h (Figure 5C). The IL-1β protein release in the cell supernatant by the PC-3 cells was not significantly altered in this time course (Table 3).

In contrast to these findings, TGFB1 was not differentially expressed in 1g and RPM samples at all time points (Figure 5D). IL-17 protein was secreted in a significantly reduced amount in RPM-exposed PC-3 cells compared with 1g samples after 2 h (Table 3). In addition, TNF-α was also released in a significantly decreased amount by RPM-exposed PC-3 cells after 2 h but was elevated after 4 h (Table 3). The expression of proinflammatory cytokines in 1g-MCS was, with the exception of TGFB1, highly upregulated (Figures 5A–D).

Impact of Simulated Microgravity on Anti-inflammatory Cytokines

The gene expression of IL1A was elevated after 2 and 4 h in adherently growing cells exposed to the RPM compared to static control cells (Figure 6A). After 24 h, IL1A was significantly upregulated in MCS, but not in AD cells compared to 1g samples. The secretion of IL-1α in the cell supernatant was reduced in 2 h RPM-exposed samples compared to 1g (Table 3). In 1g-MCS a significant upregulation of IL1A was measured (Figure 6A).

FIGURE 6
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FIGURE 6. Anti-inflammatory cytokines: Gene expression of (A) IL1A and (B) IL17 of PC-3 cells exposed to the RPM for 30 min, 2, 4 and 24 h and 1g-MCS after 24 h. n = 5; *p < 0.05 vs. 1g.

Furthermore, we measured the release of IL-2 and detected a reduced amount of this protein after a 2 h RPM exposure of the cells, whereas after 4 h the secretion was elevated in the RPM samples (Table 3). In contrast, the IL7 gene expression was not changed in short-term cultures (30 min, 2 and 4 h). Interestingly, in 24 h RPM cultures the IL7 mRNA was significantly downregulated in AD and MCS cells compared to the control group, which is similar in 1g-MCS (Figure 6B). The secretion of the IL-7 protein was reduced after 2 h and enhanced after 4 h of RPM exposure of the cells (Table 3). After 24 h, the secretion of IL-7 was similar in both groups.

Influence of Simulated Microgravity on VEGF, EGF and PI3K/AKT/mTOR (PAM) Signaling Pathways

The mRNA level of VEGFA was not changed in PC-3 cells exposed to the RPM for 30 min and 2 h. After 4 h the VEGFA mRNA was significantly downregulated in the AD group.

In contrast, the 24 h AD samples showed an increased level of VEGFA mRNA compared to 1g. RPM-MCS exhibited no change in VEGFA. In contrast, the gene expression of VEGF-A was elevated in 1g-MCS (Figure 7A). In parallel, we focused on the VEGF receptors FLT1 and KDR. FLT1 was significantly downregulated in AD cells after 4h, whereas after 24 h the FLT1 mRNA was only upregulated in MCS. Contrary, FLT1 is significantly downregulated in 1g-MCS (Figure 7B). The KDR mRNA expression was not altered over the entire time course using both methods (Figure 7C).

FIGURE 7
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FIGURE 7. VEGF, EGF and PAM signaling: Gene expression of (A) VEGFA, (B) FLT1, (C) KDR, (D) EGF, (E) EGFR, (F) PIK3CB, (G) AKT1, and (H) MTOR of PC-3 cells exposed to the RPM for 30min, 2, 4 and 24 h and 1g-MCS after 24 h. n = 5 *p < 0.05 vs. 1g.

In addition, we investigated the EGF and EGFR gene expression in PC-3 cells exposed to s-µg and in 1g-MCS. The EGF mRNA was not differentially displayed in PC-3 cells exposed to short-term microgravity. After 24 h, a non-significant increase in EGF was measured in MCS while a significant upregulation of EGF was measured in 1g-MCS (Figure 7D). After 24 h, a significant upregulation of the EGFR was detected in PC-3 cells growing in form of MCS using both methods (Figure 7E). The secretion of EGF protein was not changed in all groups (Table 3).

Furthermore, we studied key factors of the PAM pathway. The PIK3CB (Phosphatidylinositol-4,5-Bisphosphate 3-Kinase Catalytic Subunit Beta) gene was downregulated early in 30 min RPM exposed PC-3 cells (Figure 7F). After 24 h, RPM-exposed adherently growing PC-3 cells exhibited a downregulated PIK3CB mRNA expression. No expression changes were detectable in 1g-MCS (Figure 7F).

In parallel, the AKT1 (RAC-alpha Serine/threonine-protein kinase 1) gene showed no altered expression in short-term samples but a significantly downregulated expression in 24 h AD RPM samples compared to 1g. Using the liquid overlay technique, the MCS group revealed a significantly upregulated AKT1 (Figure 7G).

Finally, we studied the MTOR gene expression. The results were similar to the findings obtained for AKT1. MTOR was not differentially expressed in the short-term study, but the gene was downregulated in AD cells after a 24 h RPM exposure. In 1g-MCS s no expression changes were measured for MTOR (Figure 7H).

Search Tool for the Retrieval of Interacting Genes/Proteins Analysis

Figure 8A presents a summary of the qPCR data, already demonstrated in Figures 1, 37, and gives an interpretation of the results. The genes of interest were differentially regulated in RPM samples (AD and RPM).

FIGURE 8
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FIGURE 8. qPCR expression changes of selected genes and their relationship in STRING protein-protein interaction networks. (A) qPCR gene expression fold changes of the 24 h RPM-exposed PC-3 samples (AD and MCS) in relation to 1g. The red and green colors indicate upregulated and downregulated genes in RPM-exposed samples respectively. Significant regulations are indicated by black asterisks (p < 0.05). (B) qPCR gene expression fold changes of liquid overlay derived MCS cell aggregates in relation to controls. (C,D) Network of the functional interaction of genes and their products (C) analyzed in this study and (D) differtially regulated in liquid overlay derived MCS cell aggregates. The analysis was performed by STRING 11.0 (https://string-db.org/) and combined scores are visualized by Cytoscape 3.8.2. Affiliation to functional gene groups is color-coded. Red asterisks indicate genes known to be involved in prostate cancer gravity sensing.

The results indicate several interactions for VEGFA, EGF, EGFR, IL1B, CXCL8, IL6, MTOR, AKT1, MMP9, and FN1, which are known to be involved in gravisensing of PC-3 prostate cancer cells exposed to short-term r-µg (Figure 8C). It became clear that these selected factors for which the expression pattern was measured are regulating each other very strongly.

The majority of the genes quantified in this study were upregulated in MCS with the exception of the downregulated IL1B, IL7, and AKT1 mRNAs and CASP3, CASP9, CASP8, MMP9, TUBB, EZR, RDX, KRT8, TGFB, SPP1, VEGFA, KDR, EGF, PIK3CB, and MTOR which were not differentially displayed. A closer look at the 24 h AD samples revealed that the majority of cytoskeletal genes and PAM signaling factors were downregulated. In contrast, significant upregulations were found for ECM genes and proinflammatory cytokines such as among others IL6, CXCL8, and VEGFA and FLT1.

Figure 8B shows the summary of the qPCR data of the 1g-MCS vs. AD control cells (liquid-overlay engineered MCS), already given in Figures 27. The 1g-liquid overlay generated MCS cell aggregates show a different picture of gene regulation. Significant upregulations were measured for the following genes: CASP3, CASP8, CASP9, IL6, CXCL8, IL1B, IL1A, TIMP1, ACTB, TUBB, EZR, RDX, MSN, KRT8, VEGFA, EGF, EGFR, and AKT1. Significant downregulations were measured for IL7, COL1A1, and FLT1. In contrast to the RPM experiment, an upregulation of apoptosis-associated cysteine-aspartic acid proteases and a strong downregulation of the growth factor receptor FLT1 catch the eye (Figure 8B).

The various genes analyzed by qPCR were investigated with regard to possible interactions and mutual expression dependence of their corresponding proteins. A STRING/EMBL (European Molecular Biology Laboratory) analysis of the 30 qPCR items represented in this study are shown in Figure 8C. Figure 8D visualizes interactions of 21 proteins whose genes are significantly regulated in 1g-MCS compared to corresponding adherent controls. The STRING network shows a clear demarcation of cytokines from cytoskeletal genes.

Discussion

For many years, it has been known that various cells exposed to r- and s-µg exhibit a large number of morphological and molecular changes (Grimm et al., 2018; Grimm et al., 2020). Ingram et al. showed in 1997 that various tumor cell types, among them PC-3 cells, when exposed to s-µg created by a NASA bioreactor grew in form of 3D aggregates (Ingram et al., 1997). The authors had used a NASA rotary cell culture system for the different spheroid cultures. They reported that the cell adhesion molecules CD44 and E-cadherin were upregulated in the 3D spheroids (Ingram et al., 1997). Furthermore, another group demonstrated the application of an s-µg culture system to study growth and differentiation during a coculture of prostate stromal and epithelial cells on microcarrier beads (Zhau et al., 1997). The authors investigated the effects of an androgen (dihydrotestosterone) on growth and PSA expression by LNCaP prostate cancer cells grown alone or as coculture with prostate fibroblasts under s-µg conditions (Zhau et al., 1997). The response was similar to that observed in vivo. Margolis et al. demonstrated that ex vivo integral prostatic tissue could be successfully cultured for 28 days on the NASA-designed Rotating Wall Vessel (RWV) (Margolis et al., 1999). The prostate tissue was still suitable for further investigations (Margolis et al., 1999). Another group used the high aspect rotating-wall vessel (HARV) to study the behavior of DU-145 human prostate carcinoma cells (Clejan et al., 2001). DU-145 cells exposed to HARV cultivation showed 3D growth as well as a less aggressive, slower growing, low proliferative, higher differentiated and less pliant cell than other techniques (Clejan et al., 2001).

The project Biotechnology Demonstration System-0, one of the 80 scientific experiments aboard Space Shuttle Columbia on flight STS-107, could show that in less than 1 day in space PCC had formed a tumor larger than one inch in diameter (Twombly, 2003). In a ground-based study under s-µg conditions, the PCC and bone stroma formed small tissue aggregates (Twombly, 2003). On the space shuttle Columbia, the aggregates grew to the size of a golf ball by day 6. This data is in accordance with results obtained after the Shenzhou-8/SimBox Chinese-German space mission where follicular thyroid cancer cells (FTC-133 cell line) had been studied in space for 10 days (Pietsch et al., 2013). Interestingly, FTC-133 MCS grown in the flight sample in space ranged from 5 to 10 mm in diameter, while spheroids cultured on the RPM were significantly smaller at 2–3 mm in diameter, as observed in earlier experiments (Pietsch et al., 2010; Pietsch et al., 2013).

In a recent study, we investigated PC-3 cells for 3 and 5 days under s-µg conditions using a desktop RPM without any scaffold (Hybel et al., 2020). The cells revealed changes in morphology, cytoskeleton, ECM, focal adhesion complex and growth behavior. In addition, a significant upregulation of genes belonging to the PAM pathway was demonstrated (Hybel et al., 2020).

PC-3 Cells Exposed to the RPM Exhibit Changes in Morphology, Cytoskeleton and Extracellular Matrix

PC-3 cells cultured under conditions of s-µg showed changes in growth within 24 h. One part grew in form of 3D multicellular spheroids and the other one continued growing as adherent cells in a 2D monolayer. This is in accordance with other cell types, including human thyroid cancer cells and breast cancer cells (Pietsch et al., 2010; Pietsch et al., 2013; Masiello et al., 2014). We focused on signs of apoptosis and could show that the TUNEL staining revealed no apoptotic cells after 24 h. In addition, the CASP3, CASP8, and CASP9 genes were not differentially displayed. These findings demonstrated in Figure 1 show viable PC-3 after RPM exposure.

In addition, we have measured the gene expression of HIF1A after a 24-h exposure. Interestingly, there was no significant change in the adherently growing cells, but an increase in MCS (Figure 1H).

A significant HIF1A expression has been detected in a large number of cancers, which include among others prostate tumors (Zhong et al., 1999). Elevated HIF1A levels in several cancers have been associated with aggressive tumor progression, and thus has been implicated as a predictive and prognostic marker for resistance to therapy and increased mortality (Semenza, 2003). We do not expect hypoxia in the completely filled cell culture flasks because they have vented caps. The cells are viable and no apoptosis is detectable. The gas exchange has been studied earlier (Pietsch et al., 2012).

It is known that HIF1A is initiating angiogenesis through interactions with pro-angiogenic factors like VEGF-A (Birner et al., 2001). VEGF-A is elevated in RPM-exposed PC-3 cells after 24 h. HIF1A has a regulatory role in promoting tumor progression, likely through hypoxia-induced VEGF-A expression pathways (Powis and Kirkpatrick, 2004). HIF1A overexpression in tumors may also occur in a hypoxia-independent pathway. In hemangioblastoma, HIF1A expression is found in most cell samples from the well-vascularized tumor (Krieg et al., 2000). It will be of high interest to perform future long-term studies investigating this finding in detail.

A large number of studies have shown that r-µg as well as s-µg generated by an RPM has a major impact on the cytoskeleton (Vorselen et al., 2014; Corydon et al., 2016a; Chen et al., 2019; Nassef et al., 2019; Strube et al., 2020). Thereby it reacts on alterations of gravity with a bunch of rearrangements in the structure of the cytoskeleton. Moreover, it is suggested that the cytoskeleton may act as a direct sensor of gravity and displays the initial response to changed gravity levels (Vorselen et al., 2014; Häder et al., 2017). The cytoskeleton acts as a shape-giving structure providing the mechanical strength of cells. Thus, it works as a continuous pre-stressed lattice keeping cellular structural stability. It is composed of the actin and microtubule network, as well as intermediate filaments (Vorselen et al., 2014). F-actin belongs to the microfilaments and forms a large part of the cytoskeleton. In this study, we focused on the gene expression of β-actin (ACTB). β-actin is involved in forming the cell structure, cell motility and cell integrity. Short-term s-µg-exposure induced no significant changes in the mRNA expression level (Figure 3). Remarkably, after 24 h an upregulation of ACTB was detectable in MCS samples but not in AD. This is in line with earlier studies finding that the mRNA level of ACTB was increased after cultivating PC-3 cells for 5 days on an RPM (Hybel et al., 2020). This supports the assumption that the actin-network is influenced by gravity changes and plays a critical role in 3D growth. Moreover, it is also suggested that actin itself can work as a mechanosensitive structure (Vorselen et al., 2014). The cytoskeleton of various cell types influenced by µg reacts in a similar way, thus it can be assumed that the cytoskeleton acts as the general sensor of gravity and that the changes in the cytoskeleton become important for 3D growth (Grimm et al., 2018). Together with further morphogenetic events, these changes in the actin cytoskeleton promote the emergence of ordered structures and finally they result in the formation of MCS (Cui et al., 2017).

Moreover, we focused on the TUBB gene expression. β-tubulin belongs to the tubulin superfamily, that in turn contains six families (α, β, γ, δ, ε, and ζ tubulins). The most important families are the α- and β-tubulins as they form the major components of the microtubules. Short-term (30 min, 2 h, 4 h) RPM exposure showed no significant changes in the mRNA expression level compared to 1g. After a 24 h-exposure a significant downregulation was observed in AD samples but not in MCS samples. Previous research has clearly shown that microtubule self-organization is sensitive to the direction and the magnitude of gravity. The microtubules can respond to alteration of gravity by rearranging their structure and formation. Accordingly, they lose their radial organization, can be shortened, and can be more curved and bent (Lewis et al., 1998). But it was shown that these alterations are dependent on the type of cell and differ from cell to cell (Vorselen et al., 2014).

Furthermore, we investigated changes in the ECM. The ECM acts as a kind of sensor of alterations in gravity force. It is known that s-µg exposure generated by an RPM, results in changes in the ECM like the formation of long-chain fibers with multiple RGD motifs. The RGD motif is a tripeptide that consists of arginine, glycine, and aspartate and mediates cell attachment. These motifs can bind tightly to the integrins on the cell membrane surface and interact with the cytoskeleton in the way that dispersed cells in the cell culture flask initially are drawn closer to form loose aggregates (Cui et al., 2017). In this manner the ECM is also early involved in spheroid formation of different tumor types (Grimm et al., 2002; Marrero et al., 2009; Lin et al., 2020).

To investigate the ECM components, we measured the FN1, COL1A1, LAMA3, SPP1, MMP9 and TIMP1 gene expression. Short-term s-µg exposure (30 min, 2 h, 4 h) did not alter the expression of the selected ECM genes. In contrast, after a 24-h RPM-exposure, the FN1, COL1A1 and LAMA3 genes were elevated in both AD and MCS samples (Figures 4A–C). This is in line with earlier studies on different cell types demonstrating that there is a general tendency of elevated ECM components when cancer cells but also stem cells and specialized cells were exposed to long-term s-µg (Grimm et al., 2002; Kraus et al., 2017; Ebnerasuly et al., 2018). It has to be noted that this increase is dependent on the cell type. There were opposite results detectable when adult retinal epithelium cells (ARPE-19) were exposed to the RPM (Corydon et al., 2016b). The FN1 expression and LAMB2 expression was reduced after RPM exposure in AD and MCS of ARPE-19 cells (Corydon et al., 2016b).

When analyzing the presence of fibronectin in MCS obtained in s-µg, a slightly different cytoplasmic distribution, exemplified by a dotted pattern, compared to 1g samples was observed. A likely explanation could be that the cells of the MCS are significantly smaller. The apparent shrinking of the cells and the accompanying compression of the cytoplasm may collectively result in an altered cytoplasmic distribution and reduced secretion of fibronectin, despite the increased expression of FN1. However, reduced gravitational conditions may also impact the cytoplasmic appearance of fibronectin in RPM-MCS (Figure 4A).

In addition, human mesenchymal stem cells exposed to 10 days s-µg showed a decrease in collagen production, as well as a reduced expression of TIMP1, TIMP3, and MMP11 genes, together with an elevated expression of tenascin and laminin subunit (Zhivodernikov et al., 2020).

The SPP1 gene expression was not significantly changed in all groups of PC-3 exposed to s-µg conditions. The expression of osteopontin is known to be cell type-dependent. Rat osteoblasts cultured for 4 or 5 days aboard the Space Shuttle revealed a reduced (30%) SPP1 mRNA (osteopontin) in the flight samples (Kumei et al., 2006). In contrast, the SPP1 mRNA was elevated in human fetal osteoblasts exposed to the RPM (Mann et al., 2019). A similar result was obtained for human primary chondrocytes (Wehland et al., 2020).

Simulated Microgravity Influences the Expression and Release of Inflammatory Cytokines in PC-3 Cells

We focused on the cytokine release pattern of PC-3 cells when exposed to the RPM. It is assumed that some cytokines play a major role in spheroid formation. IL6 for example exhibits a higher expression in PC-3 cells as well as in other prostate cancer cell lines and plays a major role as a proliferative autocrine and paracrine factor in prostate cancer (Azevedo et al., 2011). Furthermore, Gopinathan et al. (Gopinathan et al., 2015) showed that IL6 can directly generate the development of new blood vessels, the proliferation and migration of endothelial cells and has thereby a tumor promoting activity.

In the present study, the IL6 gene expression increased very early with a 10-fold peak after 2 h of RPM-exposure. Afterwards, within 4 and 24 h (AD and MCS) it slightly decreased but still showed an about 5-fold elevation compared to 1g samples. This is in line with Grosse et al. (Grosse et al., 2012), who performed similar experiments with FTC-133 thyroid cancer cells and demonstrated that the tumor cells on the RPM released IL-6 in the supernatant. Svejgaard et al. (Svejgaard et al., 2015) demonstrated that both cytokines IL-6 and IL-8 improve 3D aggregation of the human thyroid cancer cell lines (ML-1 and RO-82-W-1) using the liquid overlay technique and that these cytokines induced the protein expression of β-actin, β1-integrin, talin-1, and Ki-67. These findings implicate that IL-6 as well as IL-8 are involved in spheroid formation. The detailed mechanisms are still unknown and have to be investigated more precisely in future studies. Interestingly, the IL-6 release was significantly elevated in all RPM samples at all time points (Table 3).

Taken together, all these findings indicate that interleukin-6 might be an important factor for tumor cell growth, angiogenesis, metastasis and spheroid formation. The expression of CXCL8 showed a similar pattern as IL6 indicating a similar reaction of the anti-inflammatory cytokines to microgravity.

Singh et al. (Singh and Lokeshwar, 2009) showed that IL-8 is acting as a survival factor of cancer cells and in this context IL-8 interacts with Akt and NF-κB, and has thereby a control function on the apoptotic pathway. Moreover, IL-8 plays a role in PC-3 survival, invasion, and resistance to chemotherapeutic drugs in PC-3 cells. Wilson et al. (Waugh and Wilson, 2008) mentioned that IL-8 signaling is involved in PC-3 survival and acts as an intrinsic factor of chemoresistance in advanced prostate cancer. Besides, Waugh et al. (Waugh and Wilson, 2008) showed that CXCL8 signaling regulates, among others, the transcriptional activity of the androgen receptor of PC-3 so that PC-3 proliferate androgen-independently. Therefore, taken these findings together, IL-8 is of special interest as it has an impact on PC-3 cells in many ways.

In the present study, we measured an upregulation of CXCL8 in AD cells and 3D PC-3 MCS. The secretion of IL-8 was significantly elevated after 4 h, but similar after 24 h between the RPM and 1g group (Table 3). It is known that IL-8 increases the expression of several proteins of the cytoskeleton and focal adhesion complex. These proteins in turn play a major role in tumor progression and metastasis (Desiniotis and Kyprianou, 2011). Remarkably, these proteins belonging to the cytoskeleton and focal adhesion complex also can sense gravity changes and therefore have a great impact on spheroid formation.

Simulated Microgravity has Impact on VEGF, EGF, and PAM Signaling

We studied factors of signaling pathways known to be involved in 3D growth (Krüger et al., 2019; Nassef et al., 2020). The expression of genes belonging to the VEGF signaling pathway were analyzed, showing that the gene expression of VEGFA was downregulated after 4 h and in contrast upregulated after 24 h of RPM exposure in AD samples compared to 1g (Figure 7A). In MCS samples, however, the VEGFA mRNA showed no significant change. One potential explanation for this finding could be that a less-aggressive phenotype developed when the cells merged into spheroid formation, which was found earlier in follicular thyroid cancer cells cultured in space (Ma et al., 2014). Furthermore, VEGF-A has various well-known effects in cancer. It is mediating increased vascular permeability, inducing angiogenesis, vasculogenesis and growth. In addition, VEGF-A promotes migration and progression. Within 24 h, the prostate cancer cells exposed to the RPM start to detach and to form MCS. A high amount of VEGF-A promotes spheroid formation which might explain the elevated level of VEGFA mRNA in 24 h AD samples.

The KDR gene was not differentially expressed in all groups, whereas FLT1 was downregulated after 4 h in AD, unchanged after 24 h in AD, but elevated in MCS. As the VEGF-A pathway has been implicated in pathological angiogenesis and tumor development (Nagy et al., 2007), a lower expression of the pathway points towards a less-aggressive cancer growth behavior.

Furthermore, we investigated the gene expression of EGF. The EGF protein is a key player in cancer by enhancing cell proliferation, survival, invasion, and metastasis (Bhat et al., 2014). The expression of epidermal growth factor receptor (EGFR) in cancer is often associated with a more aggressive phenotype and predictive of poor prognosis (Bhat et al., 2014). The EGFR mRNA is upregulated in MCS compared to 1g control cells indicating its involvement in 3D spheroid formation (Figure 7E).

The PAM pathway is of special interest because it is often mutated in prostate cancer (Tee et al., 2018) and therefore involved in cancer growth and progression. It is also a frequent reason of drug-resistance especially to androgen-deprivation therapy in prostate cancer (Park et al., 2018). Regarding the PAM signaling pathway, the PIK3CB gene was downregulated after 30 min and finally, after 24 h also in AD samples. A similar result was obtained for the AKT1 and MTOR mRNAs, which were both reduced in 24 h AD cells. In addition, these genes were not altered in MCS. This is an interesting result because downregulation of the PAM pathway can activate apoptosis in cancer (Yang et al., 2019). Apoptosis was not detected after RPM exposure, which is an interesting result and it can therefore be concluded that other signaling factors exhibited anti-apoptotic effects on the PC exposed to short-term µg. Long-term s-µg-exposure of PC-3 cells (5 days) resulted in a significant upregulation of AKT and MTOR mRNAs in both AD and MCS (Hybel et al., 2020).

Interaction Network of Selected Genes Evaluated by STRING Analysis and Cytoscape 3.8.2

The STRING analysis revealed an interaction network of VEGFA, FLT1, EGF, EGFR, IL1B, IL6, CXCL8, MTOR, AKT1, MMP9, and FN1. The interaction between the VEGF and EGFR pathway is well known and the rationale for a multi-target anticancer therapy (Ciardiello et al., 2006). EGF application is able to enhance VEGF-A production and to induce PI3K-dependent positive feedback on AKT and ERK via VEGFR2 in hematological malignancies (human monocytic leukemia THP1 cell line and Burkitt’s lymphoma Raji cell line (Saryeddine et al., 2016). Both pathways are key players in cancer cell growth, progression, metastasis and angiogenesis. Multikinase inhibitor therapy targeting among other factors VEGF-A is applied today in different types of advanced metastatic cancers (Wehland et al., 2012; Ancker et al., 2017; Randrup Hansen et al., 2017; Sarkar et al., 2020). EGF mediates cellular proliferation, differentiation, and survival (Herbst, 2004) and is involved in spheroid formation of cancer cells exposed to r-µg in space. The EGF gene expression was clearly upregulated in AD and MCS of FTC-133 follicular thyroid cancer cells in space during the Shenzhou-8 space mission (Pietsch et al., 2013). These results indicate the importance of EGF signaling for spheroid formation.

A further factor involved in spheroid formation and spreading of cancer cells is fibronectin. Proteome analyses revealed that surface proteins are binding fibronectin, and thus strengthening the 3D spheroid formation of thyroid cancer cells (Pietsch et al., 2011). This might be also important for other cancer types. Bioinformatic analyses have demonstrated that EGFR, KDR, FN1, TGFB1 as well as PCNA are interacting with VEGF-A and are involved in non-small cell lung cancer tumorigenesis (Wang et al., 2015). FN1 is involved in the occurrence and development of various tumors and is upregulated in multiple cancer types. FN1 is able to promote cell proliferation and migration in gastric cancer cell lines (Sun et al., 2020). A recent study showed that both cell adhesion molecules and ECM components OPN (SPP1) and FN1 might work as biological markers of progression and prognosis in esophageal cancer (Li et al., 2020).

The functional roles of VEGF and OPN in angiogenesis and their clinical significance in tumor biology are well-described (Shijubo et al., 2000). In PC metastasis both protein synthesis and gene expression of SPP1 were remarkably upregulated in metastatic castration-resistant PC (Pang et al., 2019).

Pro-inflammatory cytokines such as IL-1, IL-6, IL-17, and TNF-α promote proliferation and differentiation of cancer cells (Vendramini-Costa and Carvalho, 2012). The cytokines IL-6 and IL-8 (CXCL-8) are further key elements which are able to enhance 3D growth in PC-3 and have both already shown to induce 3D growth in thyroid tumor cells grown under 1g-conditions using the liquid overlay technique (Svejgaard et al., 2015). Both cytokines were clearly elevated in PC-3 exposed to the RPM and may serve as key players for 3D aggregation. IL-6 is a key factor in the tumor microenvironment. IL-6 overexpression was demonstrated in almost all cancer types (Kumari et al., 2016). High levels of IL-6 advance tumorigenesis and regulate among others metabolism, angiogenesis, invasiveness, metastasis, apoptosis, and survival (Kumari et al., 2016). IL-6 can induce cell growth and VEGF synthesis in malignant mesotheliomas or gastric cancer (Huang et al., 2004; Adachi et al., 2006). Furthermore, EGFR signaling promotes induction of the IL-6 receptor controlled by mTOR (Garbers et al., 2013). An aberrant EGFR activation triggered IL-6 synthesis (Garbers et al., 2013).

The PI3K-AKT-mTOR signaling network is activated and during prostate tumorigenesis, PC progression and recurrence (Shorning et al., 2020). The mTOR pathway is involved in VEGF biosynthesis, and disruption of the VEGF/Neuroplin-1 (NRP1) axis. VEGF/NRP1 are promoting angiogenesis and pro-tumorigenic signaling in both endothelial and cancer cells (Pal et al., 2019). The VEGFA gene expression is enhanced in AD cells indicating signaling towards 3D formation of PC-3.

Even though there are various more convenient techniques to produce spheroids like the hanging drop technique (Timmins et al., 2004) or the liquid-overlay technique (Svejgaard et al., 2015), these methods introduce unfavorable aspects which are low quantity, poor nutrition exchange among others. In addition, the transition from 2D growth to 3D growth cannot be monitored in these experimental setups. We used the liquid-overlay technique and engineered MCS under 1g-conditions. After 24 h, the PC-3 cells formed loose 3D aggregates on agarose. Unfortunately, more dead cells were detected compared to RPM-engineered MCS (Figure 2B). The qPCR analysis revealed a strong up-regulation for proinflammatory cytokines like among others IL6 and CXCL8. This finding might be explained by the higher amount of dead cells in 1g-engineered MCS. The opposite result was obtained for the expression of VEGFA and FLT1 in 1g-MCS. VEGFA and KDR were both not differentially altered and FLT1 was significantly elevated in RPM-MCS, whereas VEGFA was upregulated and FLT1 down-regulated in 1g-MCS.

In addition, the ECM genes FN1, COL1A1, and LAMA3 were all significantly up-regulated in RPM-MCS and differentially regulated in 1g-MCS. Taken together the results involving 1g-MCS engineered with the liquid-overlay technique are not suitable to study the early phases of tumor progression and metastasis in PC. The MCS formed with an RPM are rounder and compact, are created without agarose or a scaffold, do not show an increase in apoptosis and can grow for a longer time under s-µg conditions as shown in an earlier study (Hybel et al., 2020).

Comparison Between Short-Term and Long-Term Changes in PC-3 Cells Exposed to the RPM

COL1A1, which encodes one part of the fibril-forming pro-alpha1 chains of type I collagen, LAMA3, encoding the alpha part of the heterotrimeric laminin molecule, and FN1, encoding fibronectin, which is involved in RET signaling and is part of the integrin pathway, are substantial components of the ECM. All three genes are upregulated in PC-3 after a 24-h RPM-exposure in AD as well as in MCS. In a previous study with long-term RPM-exposure of PC-3 cells, we found that the upregulation of LAMA3 and FN1 expression persists after 3 days of RPM exposure in AD and MCS but turns to depletion in AD at day five (Hybel et al., 2020). In contrast, the COL1A1 gene is up-regulated after 5 days of RPM-exposure (Hybel et al., 2020).

ACTB and TUBB are encoding the β-actin and β-tubulin class I proteins, respectively. Both factors are substantial proteins of the cytoskeleton. While the ACTB expression is upregulated in PC-3 cells after a 24-h RPM-exposure only in MCS, the TUBB expression is depleted after 24 h in RPM-AD samples. However, after 5 days under RPM-conditions, both genes are upregulated in AD as well as in MCS samples (Hybel et al., 2020).

AKT1 encodes one of the three AKT serine-threonine protein kinases and participates in mTOR signaling. Both, AKT1 and MTOR are depleted in AD under 24 h in s-µg, but upregulated after 5 days in s-µg (AD & MCS) (Hybel et al., 2020).

In contrast, FLT1 and VEGFA, encoding the angiogenesis proteins vascular endothelial growth factor receptor 1 and the vascular endothelial growth factor 1, are both upregulated after 24 h s-µg. The up-regulation of FLT1 takes place in MCS and the up-regulation of VEGFA in AD. After 5 days of µg exposure FLT1 is upregulated in AD and MCS and VEGFA expression is depleted in MCS (Hybel et al., 2020).

In general, compared to a short-term s-µg-experiment, substantial changes in AD and MCS expression of cytoskeletal genes, extracellular matrix and PAM signaling can still be detected after three and 5 days of RPM-exposure, respectively. This suggests that in the future extended time course experiments may be appropriate. Recent studies have highlighted the existence of an integrated signaling network connecting mechanosensitive pathways to circadian gene regulation in e.g. human keratinocytes (Ranieri et al., 2015). Whether this is also the case in PC-3 prostate cancer cells awaits further studies.

In summary, this study focused on the early effects of s-µg on PC-3 cells. Short-term s-µg influenced the growth behavior of PC-3 cells towards a 3D phenotype. No signs of apoptosis were detectable. Changes in the expression of genes belonging to the cytoskeleton, ECM, cytokines, VEGF, EGFR, and PAM signaling were measured. This was accompanied by alterations of the secretion of the cytokines and ECM components. We observed significant increases in IL6 and CXCL8 gene expression after 2, 4 and 24 h in MCS, which hints towards a more aggressive phenotype in short-term microgravity. After 24 h TIMP1 was elevated in MCS and MMP9 in AD cells (Figures 4E,F). In addition, the release of IL-6 in the supernatant was elevated at all time points in RPM samples. These results fit to earlier short-term studies (parabolic flight experiments) which have already shown that thyroid cancer cells exhibit a more aggressive phenotype when cultured under r-µg (Ma et al., 2014). This is a finding which should be studied in more detail in the future.

PC-3 exposed to s-µg created by an RPM grew in form of two phenotypes: an adherent monolayer and as 3D aggregates. The PC-3 cells started to aggregate 24 h following subjection to s-µg conditions. Moreover, the 24 h RPM exposure of PC-3 cells resulted in an early activation of the VEGF pathway, EGFR1 and a downregulation of PAM signaling. Moreover, the secretion and gene expression of proinflammatory cytokines IL1B, IL6 and CXCL8 were markedly upregulated and closely involved in the first phases of spheroid formation of PC-3 cultivated under conditions of s-µg. This makes them interesting targets for a possible suppression of the development of metastases. In fact, HuMax-IL-8 (BMS-986253), a novel fully human monoclonal anti-IL-8 antibody has recently been introduced in different phase I trials testing its anti-cancer potential [NCT02536469, NCT03689699] (Bilusic et al., 2019). These trials, however, were done on patients with advanced, already metastasized stages of cancer. Our results suggest that IL-6 or IL-8 inhibition might already be beneficial in early stages of cancer by preventing or slowing down metastasis. Both factors will be targeted in future short- and long-term experiments. Liquid-overlay engineered PC-3 MCS revealed apoptotic cells after 24 h, which may influence the expression of cytokines, cytoskeletal genes and other factors. Taken these findings together, multicellular spheroids engineered by microgravity represent a novel model for studying the early phases of metastasis in vitro. The present findings may thus provide additional insights in selecting new targets to impair prostate cancer progression.

Data Availability Statement

The raw data supporting the conclusion of this article will be made available by the authors, without undue reservation.

Author Contributions

Conceptualization, DG and SKo; methodology, DD, JS, TEH, DM, SB, BB, and RV; software, HS, and SKo; validation, MW, HS, DG, and MK; formal analysis, DD; investigation, DD, DM, TEH, JS, RV, and SKa; resources, DG; data curation, DD, DM, HS, and MW; writing—original draft preparation, DD, DG; writing—review and editing, DG, TJC, MK, BB, and SKo; visualization, MK, SKa; supervision, DG, MI, SB, and TJC; project administration, DG; funding acquisition, DG and SB; All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Deutsches Zentrum für Luft-und Raumfahrt (DLR), BMWi project 50WB 1924. The research was supported by BELSPO PRODEX (IMPULSE Grant 4000109861).

Conflict of Interest

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

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Adachi, Y., Aoki, C., Yoshio-Hoshino, N., Takayama, K., Curiel, D. T., and Nishimoto, N. (2006). Interleukin-6 Induces Both Cell Growth and VEGF Production in Malignant Mesotheliomas. Int. J. Cancer 119, 1303–1311. doi:10.1002/ijc.22006

CrossRef Full Text | Google Scholar

Adekoya, T. O., and Richardson, R. M. (2020). Cytokines and Chemokines as Mediators of Prostate Cancer Metastasis. Ijms 21, 4449. doi:10.3390/ijms21124449

PubMed Abstract | CrossRef Full Text | Google Scholar

Ancker, O., Wehland, M., Bauer, J., Infanger, M., and Grimm, D. (2017). The Adverse Effect of Hypertension in the Treatment of Thyroid Cancer with Multi-Kinase Inhibitors. Ijms 18, 625. doi:10.3390/ijms18030625

PubMed Abstract | CrossRef Full Text | Google Scholar

Azevedo, A., Cunha, V., Teixeira, A. L., and Medeiros, R. (2011). IL-6/IL-6R as a Potential Key Signaling Pathway in Prostate Cancer Development. Wjco 2, 384–396. doi:10.5306/wjco.v2.i12.384

PubMed Abstract | CrossRef Full Text | Google Scholar

Becker, J. L., and Souza, G. R. (2013). Using Space-Based Investigations to Inform Cancer Research on Earth. Nat. Rev. Cancer 13, 315–327. doi:10.1038/nrc3507

PubMed Abstract | CrossRef Full Text | Google Scholar

Benavides Damm, T., Walther, I., Wüest, S. L., Sekler, J., and Egli, M. (2014). Cell Cultivation under Different Gravitational Loads Using a Novel Random Positioning Incubator. Biotechnol. Bioeng. 111, 1180–1190. doi:10.1002/bit.25179

PubMed Abstract | CrossRef Full Text | Google Scholar

Bhat, F. A., Sharmila, G., Balakrishnan, S., Singh, P. R., Srinivasan, N., and Arunakaran, J. (2014). Epidermal Growth Factor-Induced Prostate Cancer (PC3) Cell Survival and Proliferation Is Inhibited by Quercetin, a Plant Flavonoid through Apoptotic Machinery. Biomed. Prev. Nutr. 4, 459–468. doi:10.1016/j.bionut.2014.07.003

CrossRef Full Text | Google Scholar

Bilusic, M., Heery, C. R., Collins, J. M., Donahue, R. N., Palena, C., Madan, R. A., et al. (2019). Phase I Trial of HuMax-IL8 (BMS-986253), an anti-IL-8 Monoclonal Antibody, in Patients with Metastatic or Unresectable Solid Tumors. J. Immunotherapy Cancer 7, 240. doi:10.1186/s40425-019-0706-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Birner, P., Schindl, M., Obermair, A., Breitenecker, G., and Oberhuber, G. (2001). Expression of Hypoxia-Inducible Factor 1alpha in Epithelial Ovarian Tumors: its Impact on Prognosis and on Response to Chemotherapy. Clin. Cancer Res. 7, 1661–1668.

PubMed Abstract | Google Scholar

Bonnans, C., Chou, J., and Werb, Z. (2014). Remodelling the Extracellular Matrix in Development and Disease. Nat. Rev. Mol. Cell Biol. 15, 786–801. doi:10.1038/nrm3904

PubMed Abstract | CrossRef Full Text | Google Scholar

B. Vendramini-Costa, D., and E. Carvalho, J. (2012). Molecular Link Mechanisms between Inflammation and Cancer. Cpd 18, 3831–3852. doi:10.2174/138161212802083707

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, Z.-Y., Guo, S., Li, B.-B., Jiang, N., Li, A., Yan, H.-F., et al. (2019). Effect of Weightlessness on the 3D Structure Formation and Physiologic Function of Human Cancer Cells. Biomed. Res. Int. 2019, 1–17. doi:10.1155/2019/4894083

PubMed Abstract | CrossRef Full Text | Google Scholar

Ciardiello, F., Troiani, T., Bianco, R., Orditura, M., Morgillo, F., Martinelli, E., et al. (2006). Interaction between the Epidermal Growth Factor Receptor (EGFR) and the Vascular Endothelial Growth Factor (VEGF) Pathways: a Rational Approach for Multi-Target Anticancer Therapy. Ann. Oncol. 17 (Suppl. 7), vii109–vii114. doi:10.1093/annonc/mdl962

PubMed Abstract | CrossRef Full Text | Google Scholar

Clejan, S., O'connor, K., and Rosensweig, N. (2001). Tri-dimensional Prostate Cell Cultures in Simulated Microgravity and Induced Changes in Lipid Second Messengers and Signal Transduction. J. Cell. Mol. Med. 5, 60–73. doi:10.1111/j.1582-4934.2001.tb00138.x

CrossRef Full Text | Google Scholar

Corydon, T. J., Kopp, S., Wehland, M., Braun, M., Schütte, A., Mayer, T., et al. (2016a). Alterations of the Cytoskeleton in Human Cells in Space Proved by Life-Cell Imaging. Sci. Rep. 6, 20043. doi:10.1038/srep20043

PubMed Abstract | CrossRef Full Text | Google Scholar

Corydon, T. J., Mann, V., Slumstrup, L., Kopp, S., Sahana, J., Askou, A. L., et al. (2016b). Reduced Expression of Cytoskeletal and Extracellular Matrix Genes in Human Adult Retinal Pigment Epithelium Cells Exposed to Simulated Microgravity. Cell Physiol Biochem 40, 1–17. doi:10.1159/000452520

PubMed Abstract | CrossRef Full Text | Google Scholar

Cui, X., Hartanto, Y., and Zhang, H. (2017). Advances in Multicellular Spheroids Formation. J. R. Soc. Interf. 14, 20160877. doi:10.1098/rsif.2016.0877

CrossRef Full Text | Google Scholar

Desiniotis, A., and Kyprianou, N. (2011). Significance of Talin in Cancer Progression and Metastasis. Int. Rev. Cell Mol. Biol. 289, 117–147. doi:10.1016/B978-0-12-386039-2.00004-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Dittrich, A., Grimm, D., Sahana, J., Bauer, J., Krüger, M., Infanger, M., et al. (2018). Key Proteins Involved in Spheroid Formation and Angiogenesis in Endothelial Cells after Long-Term Exposure to Simulated Microgravity. Cell Physiol Biochem 45, 429–445. doi:10.1159/000486920

PubMed Abstract | CrossRef Full Text | Google Scholar

Dranoff, G. (2004). Cytokines in Cancer Pathogenesis and Cancer Therapy. Nat. Rev. Cancer 4, 11–22. doi:10.1038/nrc1252

PubMed Abstract | CrossRef Full Text | Google Scholar

Ebnerasuly, F., Hajebrahimi, Z., Tabaie, S. M., and Darbouy, M. (2018). Simulated Microgravity Condition Alters the Gene Expression of Some ECM and Adhesion Molecules in Adipose Derived Stem Cells. Int. J. Mol. Cell Med 7, 146–157. doi:10.22088/IJMCM.BUMS.7.3.146

PubMed Abstract | CrossRef Full Text | Google Scholar

Gandaglia, G., Abdollah, F., Schiffmann, J., Trudeau, V., Shariat, S. F., Kim, S. P., et al. (2014). Distribution of Metastatic Sites in Patients with Prostate Cancer: A Population-Based Analysis. Prostate 74, 210–216. doi:10.1002/pros.22742

PubMed Abstract | CrossRef Full Text | Google Scholar

Garbers, C., Kuck, F., Aparicio-Siegmund, S., Konzak, K., Kessenbrock, M., Sommerfeld, A., et al. (2013). Cellular Senescence or EGFR Signaling Induces Interleukin 6 (IL-6) Receptor Expression Controlled by Mammalian Target of Rapamycin (mTOR). Cell Cycle 12, 3421–3432. doi:10.4161/cc.26431

PubMed Abstract | CrossRef Full Text | Google Scholar

Gopinathan, G., Milagre, C., Pearce, O. M. T., Reynolds, L. E., Hodivala-Dilke, K., Leinster, D. A., et al. (2015). Interleukin-6 Stimulates Defective Angiogenesis. Cancer Res. 75, 3098–3107. doi:10.1158/0008-5472.CAN-15-1227

PubMed Abstract | CrossRef Full Text | Google Scholar

Grimm, D., Bauer, J., Kossmehl, P., Shakibaei, M., Schönberger, J., Pickenhahn, H., et al. (2002). Simulated Microgravity Alters Differentiation and Increases Apoptosis in Human Follicular Thyroid Carcinoma Cells. FASEB j. 16, 604–606. doi:10.1096/fj.01-0673fje

PubMed Abstract | CrossRef Full Text | Google Scholar

Grimm, D., Egli, M., Krüger, M., Riwaldt, S., Corydon, T. J., Kopp, S., et al. (2018). Tissue Engineering under Microgravity Conditions-Use of Stem Cells and Specialized Cells. Stem Cell Development 27, 787–804. doi:10.1089/scd.2017.0242

PubMed Abstract | CrossRef Full Text | Google Scholar

Grimm, D., Wehland, M., Corydon, T. J., Richter, P., Prasad, B., Bauer, J., et al. (2020). The Effects of Microgravity on Differentiation and Cell Growth in Stem Cells and Cancer Stem Cells. Stem Cell Transl Med 9, 882–894. doi:10.1002/sctm.20-0084

CrossRef Full Text | Google Scholar

Grosse, J., Wehland, M., Pietsch, J., Schulz, H., Saar, K., Hübner, N., et al. (2012). Gravity‐sensitive Signaling Drives 3‐dimensional Formation of Multicellular Thyroid Cancer Spheroids. FASEB j. 26, 5124–5140. doi:10.1096/fj.12-215749

PubMed Abstract | CrossRef Full Text | Google Scholar

Häder, D.-P., Braun, M., Grimm, D., and Hemmersbach, R. (2017). Gravireceptors in Eukaryotes-A Comparison of Case Studies on the Cellular Level. NPJ Microgravity 3, 13. doi:10.1038/s41526-017-0018-8

CrossRef Full Text | Google Scholar

Herbst, R. S. (2004). Review of Epidermal Growth Factor Receptor Biology. Int. J. Radiat. Oncology*Biology*Physics 59, S21–S26. doi:10.1016/j.ijrobp.2003.11.041

CrossRef Full Text | Google Scholar

Huang, S.-P., Wu, M.-S., Shun, C.-T., Wang, H.-P., Lin, M.-T., Kuo, M.-L., et al. (2004). Interleukin-6 Increases Vascular Endothelial Growth Factor and Angiogenesis in Gastric Carcinoma. J. Biomed. Sci. 11, 517–527. doi:10.1007/BF02256101

CrossRef Full Text | Google Scholar

Hybel, T. E., Dietrichs, D., Sahana, J., Corydon, T. J., Nassef, M. Z., Wehland, M., et al. (2020). Simulated Microgravity Influences VEGF, MAPK, and PAM Signaling in Prostate Cancer Cells. Ijms 21, 1263. doi:10.3390/ijms21041263

PubMed Abstract | CrossRef Full Text | Google Scholar

Infanger, M., Kossmehl, P., Shakibaei, M., Bauer, J., Kossmehl-Zorn, S., Cogoli, A., et al. (2006). Simulated Weightlessness Changes the Cytoskeleton and Extracellular Matrix Proteins in Papillary Thyroid Carcinoma Cells. Cell Tissue Res 324, 267–277. doi:10.1007/s00441-005-0142-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Ingram, M., Techy, G. B., Saroufeem, R., Yazan, O., Narayan, K. S., Goodwin, T. J., et al. (1997). Three-dimensional Growth Patterns of Various Human Tumor Cell Lines in Simulated Microgravity of a NASA Bioreactor. In Vitro Cell.Dev.Biol.-Animal 33, 459–466. doi:10.1007/s11626-997-0064-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Kopp, S., Slumstrup, L., Corydon, T. J., Sahana, J., Aleshcheva, G., Islam, T., et al. (2016). Identifications of Novel Mechanisms in Breast Cancer Cells Involving Duct-like Multicellular Spheroid Formation after Exposure to the Random Positioning Machine. Sci. Rep. 6, 26887. doi:10.1038/srep26887

PubMed Abstract | CrossRef Full Text | Google Scholar

Kopp, S., Warnke, E., Wehland, M., Aleshcheva, G., Magnusson, N. E., Hemmersbach, R., et al. (2015). Mechanisms of Three-Dimensional Growth of Thyroid Cells during Long-Term Simulated Microgravity. Sci. Rep. 5, 16691. doi:10.1038/srep16691

PubMed Abstract | CrossRef Full Text | Google Scholar

Kraus, A., Luetzenberg, R., Abuagela, N., Hollenberg, S., and Infanger, M. (2017). Spheroid Formation and Modulation of Tenocyte-specific Gene Expression under Simulated Microgravity. Mltj 7, 411–417. doi:10.11138/mltj/2017.7.3.411

PubMed Abstract | CrossRef Full Text | Google Scholar

Krieg, M., Haas, R., Brauch, H., Acker, T., Flamme, I., and Plate, K. H. (2000). Up-regulation of hypoxia-inducible factors HIF-1α and HIF-2α under normoxic conditions in renal carcinoma cells by von Hippel-Lindau tumor suppressor gene loss of function. Oncogene 19, 5435–5443. doi:10.1038/sj.onc.1203938

PubMed Abstract | CrossRef Full Text | Google Scholar

Krüger, M., Melnik, D., Kopp, S., Buken, C., Sahana, J., Bauer, J., et al. (2019). Fighting Thyroid Cancer with Microgravity Research. Ijms 20, 2553. doi:10.3390/ijms20102553

CrossRef Full Text | Google Scholar

Kumari, N., Dwarakanath, B. S., Das, A., and Bhatt, A. N. (2016). Role of Interleukin-6 in Cancer Progression and Therapeutic Resistance. Tumor Biol. 37, 11553–11572. doi:10.1007/s13277-016-5098-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Kumei, Y., Morita, S., Katano, H., Akiyama, H., Hirano, M., Oyha, K., et al. (2006). Microgravity Signal Ensnarls Cell Adhesion, Cytoskeleton, and Matrix Proteins of Rat Osteoblasts: Osteopontin, CD44, Osteonectin, and -Tubulin. Ann. New York Acad. Sci. 1090, 311–317. doi:10.1196/annals.1378.034

PubMed Abstract | CrossRef Full Text | Google Scholar

Lewis, M. L., Reynolds, J. L., Cubano, L. A., Hatton, J. P., Lawless, B. D., and Piepmeier, E. H. (1998). Spaceflight Alters Microtubules and Increases Apoptosis in Human Lymphocytes (Jurkat). FASEB j. 12, 1007–1018. doi:10.1096/fasebj.12.11.1007

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, M., Wang, K., Pang, Y., Zhang, H., Peng, H., Shi, Q., et al. (2020). SPP1 and FN1 Associated with Progression and Prognosis of Esophageal Cancer Identified by Integrated Expression Profiles Analysis. Med. Sci. Monit. 26, e920355. doi:10.12659/MSM.920355

PubMed Abstract | CrossRef Full Text | Google Scholar

Lin, X., Zhang, K., Wei, D., Tian, Y., Gao, Y., Chen, Z., et al. (2020). The Impact of Spaceflight and Simulated Microgravity on Cell Adhesion. Ijms 21, 3031. doi:10.3390/ijms21093031

PubMed Abstract | CrossRef Full Text | Google Scholar

Ma, X., Pietsch, J., Wehland, M., Schulz, H., Saar, K., Hübner, N., et al. (2014). Differential Gene Expression Profile and Altered Cytokine Secretion of Thyroid Cancer Cells in Space. FASEB j. 28, 813–835. doi:10.1096/fj.13-243287

PubMed Abstract | CrossRef Full Text | Google Scholar

Mann, V., Grimm, D., Corydon, T., Krüger, M., Wehland, M., Riwaldt, S., et al. (2019). Changes in Human Foetal Osteoblasts Exposed to the Random Positioning Machine and Bone Construct Tissue Engineering. Ijms 20, 1357. doi:10.3390/ijms20061357

PubMed Abstract | CrossRef Full Text | Google Scholar

Margolis, L., Hatfill, S., Chuaqui, R., Vocke, C., Emmert-Buck, M., Linehan, W. M., et al. (1999). Long Term Organ Culture of Human Prostate Tissue in a NASA-Designed Rotating wall Bioreactor. J. Urol. 161, 290–297. doi:10.1016/s0022-5347(01)62134-7

CrossRef Full Text | Google Scholar

Marrero, B., Messina, J. L., and Heller, R. (2009). Generation of a Tumor Spheroid in a Microgravity Environment as a 3D Model of Melanoma. In Vitro Cell.Dev.Biol.-Animal 45, 523–534. doi:10.1007/s11626-009-9217-2

CrossRef Full Text | Google Scholar

Masiello, M. G., Cucina, A., Proietti, S., Palombo, A., Coluccia, P., D’Anselmi, F., et al. (2014). Phenotypic Switch Induced by Simulated Microgravity on MDA-MB-231 Breast Cancer Cells. Biomed. Res. Int. 2014, 1–12. doi:10.1155/2014/652434

CrossRef Full Text | Google Scholar

Mehta, G., Hsiao, A. Y., Ingram, M., Luker, G. D., and Takayama, S. (2012). Opportunities and Challenges for Use of Tumor Spheroids as Models to Test Drug Delivery and Efficacy. J. Controlled Release 164, 192–204. doi:10.1016/j.jconrel.2012.04.045

CrossRef Full Text | Google Scholar

Nagy, J. A., Dvorak, A. M., and Dvorak, H. F. (2007). VEGF-A and the Induction of Pathological Angiogenesis. Annu. Rev. Pathol. Mech. Dis. 2, 251–275. doi:10.1146/annurev.pathol.2.010506.134925

CrossRef Full Text | Google Scholar

Nassef, M. Z., Kopp, S., Wehland, M., Melnik, D., Sahana, J., Krüger, M., et al. (2019). Real Microgravity Influences the Cytoskeleton and Focal Adhesions in Human Breast Cancer Cells. Ijms 20, 3156. doi:10.3390/ijms20133156

PubMed Abstract | CrossRef Full Text | Google Scholar

Nassef, M. Z., Melnik, D., Kopp, S., Sahana, J., Infanger, M., Lützenberg, R., et al. (2020). Breast Cancer Cells in Microgravity: New Aspects for Cancer Research. Ijms 21, 7345. doi:10.3390/ijms21197345

PubMed Abstract | CrossRef Full Text | Google Scholar

Pal, K., Madamsetty, V. S., Dutta, S. K., Wang, E., Angom, R. S., and Mukhopadhyay, D. (2019). Synchronous Inhibition of mTOR and VEGF/NRP1 axis Impedes Tumor Growth and Metastasis in Renal Cancer. Npj Precis. Onc. 3, 31. doi:10.1038/s41698-019-0105-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Pang, X., Xie, R., Zhang, Z., Liu, Q., Wu, S., and Cui, Y. (2019). Identification of SPP1 as an Extracellular Matrix Signature for Metastatic Castration-Resistant Prostate Cancer. Front. Oncol. 9, 924. doi:10.3389/fonc.2019.00924

PubMed Abstract | CrossRef Full Text | Google Scholar

Park, S., Kim, Y. S., Kim, D. Y., So, I., and Jeon, J.-H. (2018). PI3K Pathway in Prostate Cancer: All Resistant Roads lead to PI3K. Biochim. Biophys. Acta (Bba) - Rev. Cancer 1870, 198–206. doi:10.1016/j.bbcan.2018.09.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Pietsch, J., Kussian, R., Sickmann, A., Bauer, J., Weber, G., Nissum, M., et al. (2010). Application of Free-Flow IEF to Identify Protein Candidates Changing under Microgravity Conditions. Proteomics 10, 904–913. doi:10.1002/pmic.200900226

PubMed Abstract | CrossRef Full Text | Google Scholar

Pietsch, J., Ma, X., Wehland, M., Aleshcheva, G., Schwarzwälder, A., Segerer, J., et al. (2013). Spheroid Formation of Human Thyroid Cancer Cells in an Automated Culturing System during the Shenzhou-8 Space mission. Biomaterials 34, 7694–7705. doi:10.1016/j.biomaterials.2013.06.054

PubMed Abstract | CrossRef Full Text | Google Scholar

Pietsch, J., Sickmann, A., Weber, G., Bauer, J., Egli, M., Wildgruber, R., et al. (2011). A Proteomic Approach to Analysing Spheroid Formation of Two Human Thyroid Cell Lines Cultured on a Random Positioning Machine. Proteomics 11, 2095–2104. doi:10.1002/pmic.201000817

PubMed Abstract | CrossRef Full Text | Google Scholar

Pietsch, J., Sickmann, A., Weber, G., Bauer, J., Egli, M., Wildgruber, R., et al. (2012). Metabolic Enzyme Diversity in Different Human Thyroid Cell Lines and Their Sensitivity to Gravitational Forces. Proteomics 12, 2539–2546. doi:10.1002/pmic.201200070

PubMed Abstract | CrossRef Full Text | Google Scholar

Powis, G., and Kirkpatrick, L. (2004). Hypoxia Inducible Factor-1alpha as a Cancer Drug Target. Mol. Cancer Ther. 3, 647–654.

PubMed Abstract | Google Scholar

Randrup Hansen, C., Grimm, D., Bauer, J., Wehland, M., and Magnusson, N. (2017). Effects and Side Effects of Using Sorafenib and Sunitinib in the Treatment of Metastatic Renal Cell Carcinoma. Ijms 18, 461. doi:10.3390/ijms18020461

CrossRef Full Text | Google Scholar

Ranieri, D., Cucina, A., Bizzarri, M., Alimandi, M., and Torrisi, M. R. (2015). Microgravity Influences Circadian Clock Oscillation in Human Keratinocytes. FEBS Open Bio 5, 717–723. doi:10.1016/j.fob.2015.08.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Riwaldt, S., Bauer, J., Wehland, M., Slumstrup, L., Kopp, S., Warnke, E., et al. (2016). Pathways Regulating Spheroid Formation of Human Follicular Thyroid Cancer Cells under Simulated Microgravity Conditions: A Genetic Approach. Ijms 17, 528. doi:10.3390/ijms17040528

PubMed Abstract | CrossRef Full Text | Google Scholar

Sarkar, C., Goswami, S., Basu, S., and Chakroborty, D. (2020). Angiogenesis Inhibition in Prostate Cancer: An Update. Cancers 12, 2382. doi:10.3390/cancers12092382

PubMed Abstract | CrossRef Full Text | Google Scholar

Saryeddine, L., Zibara, K., Kassem, N., Badran, B., and El-Zein, N. (2016). EGF-induced VEGF Exerts a PI3K-dependent Positive Feedback on ERK and AKT through VEGFR2 in Hematological In Vitro Models. PLoS One 11, e0165876. doi:10.1371/journal.pone.0165876

PubMed Abstract | CrossRef Full Text | Google Scholar

Semenza, G. L. (2003). Targeting HIF-1 for Cancer Therapy. Nat. Rev. Cancer 3, 721–732. doi:10.1038/nrc1187

PubMed Abstract | CrossRef Full Text | Google Scholar

Shijubo, N., Uede, T., Kon, S., Nagata, M., and Abe, S. (2000). Vascular Endothelial Growth Factor and Osteopontin in Tumor Biology. Crit. Rev. Oncog 11, 135–146.

PubMed Abstract | Google Scholar

Shorning, B. Y., Dass, M. S., Smalley, M. J., and Pearson, H. B. (2020). The PI3K-AKT-mTOR Pathway and Prostate Cancer: At the Crossroads of AR, MAPK, and WNT Signaling. Ijms 21, 4507. doi:10.3390/ijms21124507

PubMed Abstract | CrossRef Full Text | Google Scholar

Singh, R. K., and Lokeshwar, B. L. (2009). Depletion of Intrinsic Expression of Interleukin-8 in Prostate Cancer Cells Causes Cell Cycle Arrest, Spontaneous Apoptosis and Increases the Efficacy of Chemotherapeutic Drugs. Mol. Cancer 8, 57. doi:10.1186/1476-4598-8-57

PubMed Abstract | CrossRef Full Text | Google Scholar

Strube, F., Infanger, M., Wehland, M., Delvinioti, X., Romswinkel, A., Dietz, C., et al. (2020). Alteration of Cytoskeleton Morphology and Gene Expression in Human Breast Cancer Cells under Simulated Microgravity. Cell J 22, 106–114. doi:10.22074/cellj.2020.6537

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, Y., Zhao, C., Ye, Y., Wang, Z., He, Y., Li, Y., et al. (2020). High Expression of Fibronectin 1 Indicates Poor Prognosis in Gastric Cancer. Oncol. Lett. 19, 93–102. doi:10.3892/ol.2019.11088

PubMed Abstract | CrossRef Full Text | Google Scholar

Sung, H., Ferlay, J., Soerjomataram, I., Siegel, R. L., Laversanne, M., Soerjomataram, I., Jemal, A., et al. (2021). Global Cancer Statistics 2018: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA: A Cancer J. Clinicians 71, 209–249. doi:10.3322/caac.21660

CrossRef Full Text | Google Scholar

Svejgaard, B., Wehland, M., Ma, X., Kopp, S., Sahana, J., Warnke, E., et al. (2015). Common Effects on Cancer Cells Exerted by a Random Positioning Machine and a 2D Clinostat. PLoS One 10, e0135157. doi:10.1371/journal.pone.0135157

PubMed Abstract | CrossRef Full Text | Google Scholar

Tee, S. S., Suster, I., Truong, S., Jeong, S., Eskandari, R., Digialleonardo, V., et al. (2018). Targeted AKT Inhibition in Prostate Cancer Cells and Spheroids Reduces Aerobic Glycolysis and Generation of Hyperpolarized [1-13C] Lactate. Mol. Cancer Res. 16, 453–460. doi:10.1158/1541-7786.MCR-17-0458

PubMed Abstract | CrossRef Full Text | Google Scholar

Timmins, N., Dietmair, S., and Nielsen, L. (2004). Hanging-drop Multicellular Spheroids as a Model of Tumour Angiogenesis. Angiogenesis 7, 97–103. doi:10.1007/s10456-004-8911-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Twombly, R. (2003). Prostate Modeling experiment success Becomes Part of Legacy of Shuttle Astronauts. JNCI J. Natl. Cancer Inst. 95, 505–507. doi:10.1093/jnci/95.7.505

CrossRef Full Text | Google Scholar

Vorselen, D., Roos, W. H., Mackintosh, F. C., Wuite, G. J. L., and Loon, J. J. W. A. (2014). The Role of the Cytoskeleton in Sensing Changes in Gravity by Nonspecialized Cells. FASEB j. 28, 536–547. doi:10.1096/fj.13-236356

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, Y., Huang, L., Wu, S., Jia, Y., Yang, Y., Luo, L., et al. (2015). Bioinformatics Analyses of the Role of Vascular Endothelial Growth Factor in Patients with Non-small Cell Lung Cancer. PLoS One 10, e0139285. doi:10.1371/journal.pone.0139285

PubMed Abstract | CrossRef Full Text | Google Scholar

Waugh, D. J. J., and Wilson, C. (2008). The Interleukin-8 Pathway in Cancer. Clin. Cancer Res. 14, 6735–6741. doi:10.1158/1078-0432.CCR-07-4843

PubMed Abstract | CrossRef Full Text | Google Scholar

Wehland, M., Bauer, J., Infanger, M., and Grimm, D. (2012). Target-based Anti-angiogenic Therapy in Breast Cancer. Curr. Pharm. Des. 18, 4244–4257. doi:10.2174/138161212802430468

PubMed Abstract | CrossRef Full Text | Google Scholar

Wehland, M., Steinwerth, P., Aleshcheva, G., Sahana, J., Hemmersbach, R., Lützenberg, R., et al. (2020). Tissue Engineering of Cartilage Using a Random Positioning Machine. Ijms 21, 9596. doi:10.3390/ijms21249596

CrossRef Full Text | Google Scholar

Yang, J., Nie, J., Ma, X., Wei, Y., Peng, Y., and Wei, X. (2019). Targeting PI3K in Cancer: Mechanisms and Advances in Clinical Trials. Mol. Cancer 18, 26. doi:10.1186/s12943-019-0954-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhau, H. E., Goodwin, T. J., Chang, S.-M., Baker, T. L., and Chung, L. W. K. (1997). Establishment of a Three-Dimensional Human Prostate Organoid Coculture under Microgravity-Simulated Conditions: Evaluation of Androgen-Induced Growth and PSA Expression. In Vitro Cell.Dev.Biol.-Animal 33, 375–380. doi:10.1007/s11626-997-0008-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhivodernikov, I. V., Ratushnyy, A. Y., Matveeva, D. K., and Buravkova, L. B. (2020). Extracellular Matrix Proteins and Transcription of Matrix-Associated Genes in Mesenchymal Stromal Cells during Modeling of the Effects of Microgravity. Bull. Exp. Biol. Med. 170, 230–232. doi:10.1007/s10517-020-05040-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhong, H., De Marzo, A. M., Laughner, E., Lim, M., Hilton, D. A., Zagzag, D., et al. (1999). Overexpression of Hypoxia-Inducible Factor 1alpha in Common Human Cancers and Their Metastases. Cancer Res. 59, 5830–5835.

PubMed Abstract | Google Scholar

Glossary

µg Microgravity

2D Two-dimensional

3D Three-dimensional

ACTB Beta-actin

AD Adherent Monolayer

AKT1 RAC-alpha Serine/Threonine-protein kinase 1

CASP3 Caspase-3

CASP8 Caspase-8

CASP9 Caspase-9

COL1A1 Collagen-1a1

CXCL8/IL-8 Interleukin-8

ECM Extracellular matrix

EGF Epidermal Growth Factor

EGFR1 Epidermal Growth Factor Receptor 1

EZR Ezrin

FLT1 Tyrosine kinase 1

FN1 Fibronectin

HARV High aspect rotating-wall vessel

HIF1A Hypoxia inducible factor 1A

IL-17 Interleukin-17

IL-1A Interleukin-1 Alpha

IL1B Interleukin-1 Beta

IL-2 Interleukin-2

IL-6 Interleukin-6

IL-7 Interleukin-7

KDR Kinase Insert Domain Receptor

KRT8 Kreatin 8

LAMA3 Laminin Subunit Alpha 3

LNCaP Lymph Node Carcinoma of the Prostate

MCP-1 Monocyte Chemoattractant Protein 1

MCS Multicellular Spheroid(s)

MMP11 Matrix Metalloproteinase-11

MMP2 Matrix Metallopeptidase-2

MMP9 Matrix Metalloproteinase-9

MSN Moesin

MTOR Mechanistic Target of Rapamycin kinase

NFKB Nuclear Factor kappa B

NRP1 Neuroplin-1

OPN/SPPI Osteopontin/Secreted Phosphoprotein 1

PAI-1 Plasminogen Activator Inhibitor-1

PCC Prostate Cancer Cells

PCNA Proliferating Cell Nuclear Antigen

PFA Paraformaldehyde

PIK3CB Phosphatidylinositol-4,5-bisphosphate 3-kinase Catalytic Subunit Beta

r-µg Real Microgravity

RDX Radixin

RPM Random Positioning Machine

RWV Rotating Wall Vessel

s-µg Simulated Microgravity

TGFB1 Transforming Growth Factor Beta 1

TIMP1 Tissue Inhibitor of Metalloproteinases/metallopeptidase Inhibitor 1

TIMP3 TIMP metallopeptidase Inhibitor 3

TNF-a Tumor Necrosis Factor Alpha

TUBB Tubulin Beta

VEGFA Vascular Endothelial Growth Factor A

Keywords: prostate cancer, cytokines, interleukins, cytoskeleton, extracellular matrix, PAM signaling, prostate cancer cells and microgravity

Citation: Dietrichs D, Grimm D, Sahana J, Melnik D, Corydon TJ, Wehland M, Krüger M, Vermeesen R, Baselet B, Baatout S, Hybel TE, Kahlert S, Schulz H, Infanger M and Kopp S (2022) Three-Dimensional Growth of Prostate Cancer Cells Exposed to Simulated Microgravity. Front. Cell Dev. Biol. 10:841017. doi: 10.3389/fcell.2022.841017

Received: 21 December 2021; Accepted: 25 January 2022;
Published: 17 February 2022.

Edited by:

Xiaohua Lei, Shenzhen Institutes of Advanced Technology (CAS), China

Reviewed by:

Lucia Morbidelli, University of Siena, Italy
Giulia Ricci, University of Campania Luigi Vanvitelli, Italy

Copyright © 2022 Dietrichs, Grimm, Sahana, Melnik, Corydon, Wehland, Krüger, Vermeesen, Baselet, Baatout, Hybel, Kahlert, Schulz, Infanger and Kopp. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Daniela Grimm, ZGdnQGJpb21lZC5hdS5kaw==

Present Address: Sascha Kopp, Core Facility Tissue Engineering, Otto von Guericke University Magdeburg, Magdeburg, Germany

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.