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The use of matrigel has no influence on tumor development or PET imaging in FaDu human head and neck cancer xenografts
© Fliedner et al. 2016
Received: 8 September 2015
Accepted: 4 January 2016
Published: 14 January 2016
In preclinical research MatrixgelTM Basement Membrane Matrix (MG) is used frequently for the establishment of syngeneic and xenograft cancer models. Limited information on its influence on parameters including; tumor growth, vascularization, hypoxia and imaging characteristics is currently available. This study evaluates the potential effect of matrigel use in a human head and neck cancer xenograft model (FaDu; hypopharyngeal carcinoma) in NMRI nude mice. The FaDu cell line was chosen based on its frequent use in studies of cancer imaging and tumor microenvironment.
NMRI nude mice (n = 34) were divided into two groups and subcutaneously injected with FaDu cells in medium either including (+MG) or excluding matrigel (−MG). In sub study I seven mice from each group (+MG, n = 7; −MG, n = 7) were 18F- fluorodeoxyglucose (18F-FDG) PET/CT scanned on Day 5, 8, 12, 15, and 19. In sub study II ten mice from each group (+MG, n = 10; −MG, n = 10) were included and tumors collected for immunohistochemistry (IHC) analysis of tumor microenvironment including; proliferation ratio, micro vessel density, average vessel area, hypoxia, nuclear density, and necrosis. Tumors for IHC were collected according to size (200–400 mm3, 500–700 mm3, 800–1100 mm3).
FDG uptake and tumor growth was statistically compatible for the tumors established with or without MG. The IHC analysis on all parameters only identified a significantly higher micro vessel density for tumor size 500–700 mm3 and 800–1100 mm3 and average vessel area for tumor size 500–700 mm3 in the −MG group. Comparable variations were observed for tumors of both the +MG and −MG groups. No difference in tumor take rate was observed between groups in study.
Matrigel did not affect tumor growth or tumor take for the FaDu xenograft model evaluated. Tumors in the -MG group displayed increased angiogenesis compared to the +MG tumors. No difference in 18F-FDG PET uptake for tumors of different groups was found. Based on these observations the influence of matrigel on tumor imaging and tumor microenvironment seems minor for this particular xenograft model.
Human cancer xenografts in immunodeficient mice are widely used in cancer research and provide vital models for the study of tumor growth, tumor development, and the response to therapy in preclinical research. Several human cancer cell linescan be succesfully implanted onto immune deficient mouse models, but variations in take rate and growth of solid tumors makes their use challenging. MatrixgelTM Basement Membrane Matrix (Matrigel or MG) is commonly used to improve tumor take and growth . Matrigel was originally extracted from connective tissue and research from the last century has shown that the extracts form matrix structures, and provide surrounding cells with substrates for growth promotion and development [1–3]. The reconstructed basement membrane complex includes; laminin, growth factors, entactin, and type IV collagen [3–5]. Studies have evaluated the advantages of MG for various cell lines [6–9] and generally it has been found to improve tumor take and growth. No change in tumor development and microenvironment is stated in these studies and reviews [4, 8, 9]. Isolated constituents from MG have been tested for impact on cell growth. However, no single substance was identified as the main mediator of effects [1, 10]. MG hereby lacks a fully defined impact on tumor growth, which could be a possible source of error in translation. By legislation the number of animals in preclinical research must be kept as low as possible while maintaining adequate power of studies. Enhancement of tumor growth by including MG can be used to decrease the number of animals in a study, but could also be a potential source of error from a translational perspective. 18F-FDG PET/CT is clinically used for head and neck cancer in relation to staging, therapy planning and response to therapy . FaDu head and neck cancer xenograft models are widely used for studies of PET imaging, tumor microenvironment, and radiation therapy in preclinical research [12–14]. The description of MG use for tumor inoculation in studies is not always specified. Accordingly, an understanding of possible impact of MG use is of great importance. The aim of this study was to investigate the influence of MG use, on tumor and imaging characteristics of FaDu hypopharyngeal carcinoma cells inoculated subcutaneously on NMRI nude mice.
All experimental procedures were approved by the Danish Animal Welfare Council, the Danish Ministry of Justice. Dulbecco’s Modified Eagle Medium were supplemented with 10 % Fetal Calf Serum (FCS) and 1 % penicillin-streptomycin for growth of FaDu cells in culture flaks until confluency, retained in 5 % CO2 incubator at 37 ° C. Six weeks old female NMRI nude (Naval Medical Research Institute) mice were purchased from Taconic Europe (Borup, Denmark). After one week of adaptation, 34 animals were inoculated with FaDu tumor cells subcutaneously on both left and right flank. Half of the mice (n = 17) were injected with a suspension for each tumor consisting of 2.5 × 106 FaDu cells in 50 μL Dulbecco’s Modified Eagle Medium (Life Technologies, Carlsbad, CA, USA) (−MG group; n = 17). For +MG group (n = 17) 50 μL Matrixgel™ Basement Membrane Matrix (BD Biosciences, San Jose, CA, USA) was added and a total volume of 100 μL containing 2.5 × 106 FaDu cells injected. Tumor size and weight were measured continuously from day 5 post implant to follow the development of tumors and monitor the health of the mice. Mice were housed in IVC rack from Techniplast in Type III SPF cages with 8 mice in each cage. Purified water and chow food was available ad libitum for mice unless anything else is described.
Of the 34 mice included in study; 14 mice (+MG, n = 7; −MG, n = 7) were randomized to sub study I where all mice were 18F- fluorodeoxyglucose (18F-FDG) PET/CT scanned on Day 5, 8, 12, 15, and 19. In sub study II that included ten mice from the +MG group (n = 10) and ten mice from the -MG group (n = 10), tumors were collected when reaching predetermined sizes (200–400 mm3, 500–700 mm3, 800–1100 mm3) for immunohistochemistry (IHC) analysis of tumor characteristics.
Tumor volumes determined from 18F-FDG PET/CT were generated by manually drawing regions of interest (ROIs) to cover the entire tumor by numerous tomographic voxels, and summation of these defined the 3D tumor volume.
18F-FDG PET/CT imaging – sub study I
Mice were injected via the tail vein with a mean activity of 8.90 ± 1.55 MBq (Mean ± SD) 18F-FDG in 0.2 mL 0.9 % isotonic saline solution. Prior to injection all mice were fasted for approximately 12 h to minimize the variation in 18F-FDG uptake . For injection, distribution, and scanning, all mice were kept anaesthetized with 3 % sevoflurane (Abbott Scandinavia AB, Solna, Sweden) mixed with 35 % O2 and 65 % N2. Body temperature was kept stable by external heating device when anaesthetized, and positioned on a heating pad during scan. 18F-FDG PET/CT imaging was performed on Siemens Inveon® Small Animal Scanner (Siemens Medical Systems, PA, USA). The protocol included a five minute PET scan followed by a CT scan with attenuation correction to be used for reconstruction. Reconstruction of PET scans were performed using maximum a posteriori (MAP) reconstruction algorithm (voxel size: 0.815 × 0.815 × 0.796 mm; resolution (FWHM) 1.2 mm). Reconstructed images were analyzed with Inveon Research Workspace software (Siemens Medical Systems, PA, USA). Tracer uptake was determined as mean and maximum % injected dose pr. gram of tumor (%ID/g) (1 gram per cm3), and mean and maximum standardized uptake value (SUV), corrected for decay.
Tumor microenvironment – sub study II
Tumors were collected when reaching a size of 200–400 mm3 (+MG; n = 6, −MG; n = 5), 500–700 mm3 (+MG; n = 7, −MG; n = 6), and 800–1100 mm3 (+MG; n = 6, −MG; n = 4). Collection of tumors for IHC staining was initiated two weeks post injection of FaDu cells and the collection periods lasted for two weeks. Two hours prior to euthanasia 0.06 mg/g pimonidazole was injected i.p.. Tumors were fixed in 4 % formaldehyde for 24 h, hereafter transferred to 70 % ethanol, and finally embedded in paraffin and cut into 4 μm slices. Each tumor was stained with the following antibodies; pimonidazole (PIMO; hypoxia) (HypoxyProbe-Omni Kit, HypoxyProbe Inc., Burlington, USA), Ki-67 (proliferation) (Dako; M7240), and CD31 (endothelial cell marker) (Abcam; ab28364). In addition haematoxylin eosin (HE) staining was performed.
Antibody concentrations were optimized on tumor samples from mice included in this study for optimal binding specificity. The following concentrations were used for analysis; PIMO 1:400, Ki-67 1:400, and CD31 1:50.
Deparaffination was performed by heating slides for 1 h at 40 ° C, increasing temperature to 60 °C and incubating for one additional hour. Slides were subsequently treated with xylene and rehydrated in descending concentrations of ethanol (99, 96, 70 %). Slides for Ki-67 antibody staining were furthermore exposed to microwave heating after rehydration to retrieve optimal binding. Endogenous peroxidase was blocked by Peroxidase Blocking Reagent (Dako, Glostrup, Denmark) for 8 min followed by Bovine Serum Albumin (BSA) blocking with 2 % BSA for 10 min to avoid unspecific binding of antibodies. Primary antibody incubated for 1 h followed by secondary biotinylated EnVision FLEX™ (Dako, Glostrup, Denmark) incubation for 40 min. Finally antibody staining was evoked by 3,3′-Diaminobenzidine (DAB) (Dako, Glostrup, Denmark) incubation for 10 min and counterstained with haematoxylin. Between all steps slides were rinsed in phosphate buffered saline (PBS, 0.2 M, pH = 7.4). After dehydration in increasing alcohol concentrations cover slides were mounted and slides scanned on an Axio scanner (Axio scan, Carl Zeiss, Germany). The Following parameters were analyzed; cell density, hypoxia percentages, micro vessel density (MVD), average vessel area, non-viable cell percentages, and proliferation percentages. Cell density and hypoxia was determined using the publicly available software Fiji (ImageJ). For nuclear density a nuclei count threshold of 50 pixels2 to infinity was used (pixel size 0.022 × 0.022 μm). The percentage of tumor hypoxia was evaluated using Color Deconvolution based on pimonidazole DAB-H staining. Based on constructed binary images (threshold between 210 and 220 RGB values of intensity) the percentage of hypoxia positive stained area in tumor slides was determined. MVD and average vessel area was determined using online image segmentation and endothelial cell analysis software CAIMAN (CAncer IMage ANalysis: http://www.caiman.org.uk)  in 5 selected ROIs. ROIs, excluding necrotic regions and artifacts, were manually drawn to represent entire slide (pixel size 0.088 × 0.088 μm). Non-viable cell counts were determined in Fiji using the Advanced Weka Segmentation plug-in. Regions of viable cells, non-viable cells, and background in slide were marked to train the classifier and determine final segmentation. Calculation was made from the result image constructed by classifier. Proliferation in tumors was calculated using the online automated image analysis application ImmunoRatio (http://jvsmicroscope.uta.fi/sites/default/files/software/immunoratio-plugin/index.html) . Five defined ROIs representing entire slide, excluding necrosis and artifacts, were manually drawn and uploaded to define percentage of proliferating cells in total nuclei area (pixel size 0.088 × 0.088 μm).
Statistical analysis was performed in GraphPad 6 (GraphPad Software, CA, USA). Comparison between groups of data from PET/CT scan was performed using Student’s T-test. Results are presented as Mean ± SEM (Standard Error of Mean). Analysis of data from histological staining’s was performed using One-Way ANOVA variance analysis with Holm-Sidak’s post hoc test for multiple comparisons test to evaluate differences between groups of different tumor sizes. A p-value < 0.05 was considered statistically significant in all tests.
Results and discussion
Tracer uptake and tumor volume determined by 18F-FDG PET/CT scan
Previous studies have shown that tumor take in models are increased using MG . In this study the take rate of tumors inoculated without MG was approximately 95 % (32 out of 34 inoculated) and 100 % (34 out of 34 inoculated) with MG, which indicates that MG does not influence tumor take for the investigated model.
The doubling in injection volume between groups might lead to a falsely determined tumor volume for the +MG group at early and intermediate time points, where a distinct part is mostly due to MG volume and not division of tumor cells. However, as seen in Fig. 1, tumor volume at day 5 and 8 are virtually similar and the growth rates between these days follow the same development curve. Difference in growth rate was detected between day 8 and 12 (increase in rate for +MG). Grounds for injecting larger suspension volumes for the MG suspension was based on keeping the injected number of cells and concentration in media fixed, and from the results the difference in injection volume did not seem to have a distinct effect. Based on Figs. 1 and 3, it seems that the variation in size and tracer uptake is smaller in the −MG group compared to the +MG group. PET/CT scan data indicate that no significant advantage or drawback can be stated regarding MG use for tumor growth or tumor uptake in this model, but a decrease in group variation is observed for the −MG group. Based on this, there is little reason for using MG in FaDu xenograft models.
Tumor development from IHC data
Our data indicate that using MG in cell suspension for inoculation induces no major impact on imaging and microenvironment characteristics of the FaDu hypopharyngeal carcinoma xenografts. Less variation is seen when no MG is used, which is in favor of not including MG in FaDu xenograft inoculation. Following the extensive use of the FaDu head and neck cancer xenograft model for PET imaging and tumor microenvironment characteristics, this study indicates that studies with and without MG use are comparable. Importantly, the observation in this study cannot be generally applied. Important differences potentially exist for human xenograft models other than FaDu in NMRI nude mice, which must be considered before comparing results between studies.
Generous support from the Danish Cancer Society, the Lundbeck foundation, the Novo Nordisk Foundation, the Svend Andersen Foundation, the Innovation Fund Denmark, the Danish Research Council for Independent Research, Rigshospitalets Research Foundation, the Research Foundation of the Capital Region, the AP Møller Foundation, and the John and Birthe Meyer Foundation.
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- Vukicevic S, Kleinman HK, Luyten FP, Roberts AB, Roche NS, Reddi AH. Identification of multiple active growth factors in basement membrane Matrigel suggests caution in interpretation of cellular activity related to extracellular matrix components. Exp Cell Res. 1992;202(1):1–8.PubMedView ArticleGoogle Scholar
- Kleinman HK, McGarvey ML, Hassell JR, Star VL, Cannon FB, Laurie GW, et al. Basement membrane complexes with biological activity. Biochemistry. 1986;25(2):312–8.PubMedView ArticleGoogle Scholar
- Fridman R, Benton G, Aranoutova I, Kleinman HK, Bonfil RD. Increased initiation and growth of tumor cell lines, cancer stem cells and biopsy material in mice using basement membrane matrix protein (Cultrex or Matrigel) co-injection. Nat Protoc. 2012;7(6):1138–44.PubMedView ArticleGoogle Scholar
- Benton G, Arnaoutova I, George J, Kleinman HK, Koblinski J. Matrigel: from discovery and ECM mimicry to assays and models for cancer research. Adv Drug Deliv Rev. 2014;79–80:3–18. doi:10.1016/j.addr.2014.06.005.PubMedView ArticleGoogle Scholar
- Arnaoutova I, George J, Kleinman HK, Benton G. Basement membrane matrix (BME) has multiple uses with stem cells. Stem Cell Rev. 2012;8(1):163–9.PubMedView ArticleGoogle Scholar
- Fridman R, Kibbey MC, Royce LS, Zain M, Sweeney M, Jicha DL, et al. Enhanced tumor growth of both primary and established human and murine tumor cells in athymic mice after coinjection with Matrigel. J Natl Cancer Inst. 1991;83(11):769–74.PubMedView ArticleGoogle Scholar
- Pretlow TG, Delmoro CM, Dilley GG, Spadafora CG, Pretlow TP. Transplantation of human prostatic carcinoma into nude mice in Matrigel. Cancer Res. 1991;51(14):3814–7.PubMedGoogle Scholar
- Noel A, De Pauw-Gillet MC, Purnell G, Nusgens B, Lapiere CM, Foidart JM. Enhancement of tumorigenicity of human breast adenocarcinoma cells in nude mice by matrigel and fibroblasts. Br J Cancer. 1993;68(5):909–15.PubMedPubMed CentralView ArticleGoogle Scholar
- Topley P, Jenkins DC, Jessup EA, Stables JN. Effect of reconstituted basement membrane components on the growth of a panel of human tumour cell lines in nude mice. Br J Cancer. 1993;67(5):953–8.PubMedPubMed CentralView ArticleGoogle Scholar
- Hughes CS, Postovit LM, Lajoie GA. Matrigel: a complex protein mixture required for optimal growth of cell culture. Proteomics. 2010;10(9):1886–90.PubMedView ArticleGoogle Scholar
- Koshy M, Paulino AC, Howell R, Schuster D, Halkar R, Davis LW. F-18 FDG PET-CT fusion in radiotherapy treatment planning for head and neck cancer. Head Neck. 2005;27(6):494–502.PubMedView ArticleGoogle Scholar
- Baumann M, Liertz C, Baisch H, Wiegel T, Lorenzen J, Arps H. Impact of overall treatment time of fractionated irradiation on local control of human FaDu squamous cell carcinoma in nude mice. Radiother Oncol. 1994;32(2):137–43.PubMedView ArticleGoogle Scholar
- Menegakis A, Eicheler W, Yaromina A, Thames HD, Krause M, Baumann M. Residual DNA double strand breaks in perfused but not in unperfused areas determine different radiosensitivity of tumours. Radiother Oncol. 2011;100(1):137–44.PubMedView ArticleGoogle Scholar
- Schutze C, Bergmann R, Yaromina A, Hessel F, Kotzerke J, Steinbach J, et al. Effect of increase of radiation dose on local control relates to pre-treatment FDG uptake in FaDu tumours in nude mice. Radiother Oncol. 2007;83(3):311–5.PubMedView ArticleGoogle Scholar
- Tomayko MM, Reynolds CP. Determination of subcutaneous tumor size in athymic (nude) mice. Cancer Chemother Pharmacol. 1989;24(3):148–54.PubMedView ArticleGoogle Scholar
- Russell PJ, Raghavan D, Gregory P, Philips J, Wills EJ, Jelbart M, et al. Bladder cancer xenografts: a model of tumor cell heterogeneity. Cancer Res. 1986;46(4 Pt 2):2035–40.PubMedGoogle Scholar
- Fueger BJ, Czernin J, Hildebrandt I, Tran C, Halpern BS, Stout D, et al. Impact of animal handling on the results of 18 F-FDG PET studies in mice. J Nucl Med. 2006;47(6):999–1006.PubMedGoogle Scholar
- Reyes-Aldasoro CC, Griffiths MK, Savas D, Tozer GM. CAIMAN: an online algorithm repository for cancer image analysis. Comput Methods Programs Biomed. 2011;103(2):97–103.PubMedView ArticleGoogle Scholar
- Tuominen VJ, Ruotoistenmaki S, Viitanen A, Jumppanen M, Isola J. ImmunoRatio: a publicly available web application for quantitative image analysis of estrogen receptor (ER), progesterone receptor (PR), and Ki-67. Breast Cancer Res. 2010;12(4):R56.PubMedPubMed CentralView ArticleGoogle Scholar
- Paidpally V, Chirindel A, Lam S, Agrawal N, Quon H, Subramaniam RM. FDG-PET/CT imaging biomarkers in head and neck squamous cell carcinoma. Imaging Med. 2012;4(6):633–47.PubMedPubMed CentralView ArticleGoogle Scholar
- Mullen P, Ritchie A, Langdon SP, Miller WR. Effect of Matrigel on the tumorigenicity of human breast and ovarian carcinoma cell lines. Int J Cancer. 1996;67(6):816–20.PubMedView ArticleGoogle Scholar