Abstract
Simple Summary
We established a new minimally invasive mouse model for GBM relapse. For this, we utilized orthotopical implantation of HSVTK-transduced GBM cells and pharmacological treatment with GCV. In addition, we implanted patient-derived GBM cells of primary or recurrent tumors. We found that recurrent GBM were more aggressively invasive than primary GBM. Moreover, the recurring tumors had a higher ratio of monocyte-derived macrophages among the entire population of tumor associated myeloid cells. This shift in the composition of tumor-associated immune cells appeared to be independent from cell-death signaling or surgical intervention. This model provides the means to investigate the entire process of tumor relapse and test standard as well as experimental therapeutic strategies for relapsing GBM under defined conditions.
Abstract
Glioblastoma (GBM) recurrence after treatment is almost inevitable but addressing this issue with adequate preclinical models has remained challenging. Here, we introduce a GBM mouse model allowing non-invasive and scalable de-bulking of a tumor mass located deeply in the brain, which can be combined with conventional therapeutic approaches. Strong reduction of the GBM volume is achieved after pharmacologically inducing a tumor-specific cell death mechanism. This is followed by GBM re-growth over a predictable timeframe. Pharmacological de-bulking followed by tumor relapse was accomplished with an orthotopic mouse glioma model. Relapsing experimental tumors recapitulated pathological features often observed in recurrent human GBM, like increased invasiveness or altered immune cell composition. Orthotopic implantation of GBM cells originating from biopsies of one patient at initial or follow-up treatment reproduced these findings. Interestingly, relapsing GBM of both models contained a much higher ratio of monocyte-derived macrophages (MDM) versus microglia than primary GBM. This was not altered when combining pharmacological de-bulking with invasive surgery. We interpret that factors released from viable primary GBM cells preferentially attract microglia whereas relapsing tumors preponderantly release chemoattractants for MDM. All in all, this relapse model has the capacity to provide novel insights into clinically highly relevant aspects of GBM treatment.
Keywords: recurrent glioblastoma, GBM relapse, HSV-thymidine kinase (HSVTK), ganciclovir (GCV), tumor associated myeloid cells (TAM), monocyte-derived macrophages (MDM), microglia, tumor cell invasion
1. Introduction
Glioblastoma multiforme (GBM) is the most common and malignant tumor arising from the central nervous system (CNS) and prognosis for GBM patients remains very poor [1,2]. Patients diagnosed with GBM have a median survival of about 15 months after standard therapy consisting of tumor resection followed by a combination of radio- and chemotherapy [3,4]. GBM usually is fatal at first or second relapse. Despite many significant developments in the research and treatment of primary GBM, much less is known about the molecular characteristics of recurrent GBM [5,6,7]. Statistically, roughly two-thirds of recurrent GBM relapse within 2 cm of the primary tumor margin [8,9]. One-third of glioblastoma recur at distant sites, including different brain lobes or even infratentorial locations [10]. Owing to the tumor location or the impaired clinical condition of the patient microsurgical resection of the recurrent GBM is often not safely possible. This also negatively affects the advancement of research on the comparison of primary with recurrent tumor cells [11].
One additional constraint for developing new therapeutic options specifically against tumor recurrence is the paucity of adequate preclinical models. In particular, investigating the role of the tumor microenvironment (TME) in GBM relapse may indicate new therapeutic options, as the TME is less prone to therapy-induced hyper-mutation and acquired therapy-resistance than the GBM cells. The TME consists of a complex mix of brain resident cells, such as microglia, astrocytes, and neurons but also the neoplastic vasculature and peripherally invading immune cells (monocytes derived macrophages, abbreviated as MDM, and T-cells) [12,13,14]. Up to one third of the tumor mass is contributed by brain-resident microglia or peripherally invading MDM, which are commonly summarized as tumor-associated myeloid cells (TAM) [12,15]. These TAM subpopulations have a high overlap in cell markers and only relatively recently immunohistochemical procedures [16,17] or transgenic mouse models [18,19] were developed to address their individual roles. We have shown that combining single cell transcriptomics, transgenic models and immunohistological techniques provides an unprecedented and therapeutically relevant insight into the heterogeneity of TAM and other myeloid-marker positive cells (termed TAMEP) [20].
In primary GBM, TAM density positively correlates with malignancy [21,22,23] and it was shown that TAM promoted tumor expansion by increasing GBM cell invasion [13,14,24]. However, the role of TAM in tumor recurrence is currently less well defined. Consequently, the contribution of individual TAM subsets, like resident microglia or MDM, to disease progression remains unclear. It was suggested that surgical debulking damages the blood–brain barrier and induces an inflammatory reaction resulting in altered cellular composition of the TME [25]. Consequently, more macrophages are recruited to the resected site [26]. In addition, standard radiotherapy or chemotherapy were discussed to alter the fraction of MDM in all TAM following the treatment of primary GBM [27].
To investigate the biology of tumor recurrence we developed a minimally invasive tumor relapse model by genetically engineering an established murine GBM cell line with the HSVTK suicide gene (mGBM-TK cells); the cell death mechanism is activated after ganciclovir (GCV) administration [28,29]. This model allows initial tumor growth and partial remission in deep areas of the brain, which is an advantage over the (few) existing recurrent GBM models, which, e.g., relied on superficial tumor cell application and subsequent surgical removal [30,31,32]. Furthermore, GCV dosing gives a handle to control the extent and the timing of GBM debulking. Notably, this model recapitulated the enhanced tumor cell invasiveness observed in human GBM at post treatment recurrence [33,34]. Application of this novel GBM relapse model in different mouse reporter strains for microglia or tumor-invading macrophages [18,20] showed an increase in the MDM population (as compared to microglial cells) upon tumor recurrence. This shift from microglia towards MDM was not affected by surgical intervention and was confirmed in a matched, patient-derived GBM model for primary and recurrent GBM with verified histological markers for myeloid cells.
2. Materials and Methods
2.1. Cell Culture and Ganciclovir Treatment In Vitro
Murine mGBM-TK cells were obtained by transduction of GL261 cells (NCI-Frederick) with lentiviral vectors encoding a recombinant HSVTK fused with GFP [35] and were cultured in DMEM containing 10% fetal bovine serum (catalog no. 102270-106, Thermo Fisher Scientific, Waltham, MA, USA), 1× MEM non-essential amino acids (catalog no. 11140-035, Thermo Fisher Scientific, Waltham, MA, USA), and 1% penicillin-streptomycin (catalog no. 151140-122, Thermo Fisher Scientific, Waltham, MA, USA). For functional testing with ganciclovir (GCV; catalog no. PHR1593, Sigma-Aldrich, Taufkirchen, Germany), the GBM-TK cells were seeded in a 24-well plate (5000 cells per well). After 24 h, cells were treated with 0.5 mg/mL GCV in the GCV-treated group or with PBS solution alone in the control group. Cell death was monitored throughout the following days. GBM stem cell (GSC) cultures GBM 20 and GBM29 were derived from biopsies of the primary or the recurrent GBM of the same human patient [36] and cultured in DMEM-F12 (catalog no. 11320-074, Thermo Fisher Scientific, Waltham, MA, USA) supplemented with 1× B27 (catalog no. 17504-044, Thermo Fisher Scientific, Waltham, MA, USA), 1% penicillin-streptomycin, 10 ng/mL epidermal growth factor (EGF, catalog no. 236-EG; Biotechne; Minneapolis, MN, USA), and 10 ng/mL fibroblast growth factor (FGF, catalog no. 100-18B PeproTech, Hamburg, Germany). All cells were maintained at 37 °C in a humidified atmosphere of 95% O2 and 5% CO2. GSCs were validated repeatedly by short tandem repeat (STR) fingerprinting (Eurofins Medignomix Forensik, Munich, Germany) and regularly tested for mycoplasma contamination by PCR.
2.2. Animals
All animal experiments were performed in compliance with the German National Guidelines for Animal Protection and conducted with the approval of the local animal care committee of the Government of Oberbayern (Regierung von Oberbayern; Az.55.2-1-54-2532). Microglia reporter mice Cx3cr1::creER2, R26-RFP were created by cross breeding Cx3cr1-cre/ERT2Litt/WganJ (RRID:IMSR_JAX: 021160), expressing a fusion protein of cre-recombinase and a modified estrogen-receptor (cre-ER2) under the CX3CR1 promoter with a cre-reporter line (B6.Cg-Gt(ROSA)26Sortm9(CAG-tdTomato)Hze/J [37]). To label tumor-invading macrophages in the brain, the myeloid cell reporter Ccr2-eGFP/Cln/J (RRID:IMSR_JAX: 027619) was used. All mice were purchased from the Jackson Laboratory, bred on C57Bl/6J background and genotyping was performed as previously described. Immunodeficient Foxn1nu/nu or B6.129S6-Rag2tm1Fwa mice were used for xenografting of human GBM cells as described previously [38]. Animals were kept in suitable cages with ad libitum access to water and food in a 12 h light/dark cycle at the standardized animal house of the Walter Brendel Centre for Experimental Medicine, LMU Munich. Mice were sacrificed at defined presymptomatic time points or at defined humane endpoints.
2.3. Tumor Implantation, Tamoxifen and GCV Treatment In Vivo
Mice received i.p. 7 µL/g body weight of a mixture of 0.1% xylazine (Rompun 2%; Bayer, Leverkusen, Germany) and 1.5% ketamine (Ketavet; Zoetis, Berlin, Germany) in 0.9% NaCl. A middle incision was made on the skin with a scalpel after disinfection with a 10% povidone iodine solution. To prevent the animals’ corneas from drying out, their eyes were covered with Bepanthen cream. Mice were immobilized on a stereotactic frame in a flat-skull position. After drilling a hole into the skull with a 23 G needle tip (coordinates 1.0 m anterior and 1.5 mm right of the bregma), 1 μL of cells (1 × 105 murine GBM cells/μL or 5 × 104 human GBM cells/μL in a supplement-free medium) was slowly injected within two minutes with a 22 G Hamilton syringe at a depth of 3 mm (the syringe was vertically inserted 4 mm and retracted 1 mm). Finally, the syringe was retracted 1 mm/min, and the skin was carefully sutured. For microglia tracing, Cx3cr1::creER2, R26-RFP mice received i.p. 75 mg/kg/d tamoxifen (dissolved in corn oil) in an intraperitoneal injection. The tamoxifen injection was performed three consecutive days. For in vivo depletion of GBM-TK cells, GCV was applied i.p. on four consecutive days from 14 to 17 DPO at 50 mg/kg/d.
2.4. Mouse Brain Tissue Preparation
Mice were transcardially perfused with 1× PBS (Pharmacy, University Clinics, LMU Munich) followed be 4% PFA solution (Sigma Aldrich, St. Louis, MO, USA) under anesthesia. The brain was carefully removed and incubated with 4% PFA at 4 °C for 24 h and then immersed in 30% sucrose until the brain sank to the bottom of the tube. The brain was then embedded in Cryomatrix (Cat. 6769006; Thermo Fisher Scientific, Waltham, MA, USA) and frozen with 2,2,4-Trimethylpentane in liquid nitrogen. Sequential and horizontal 40 μm-thick sections were prepared using a horizontal sliding microtome. Floating sections were stored in 24-well plates filled with cryoprotectant (ethylene glycol, glycerol, and 1× PBS pH 7.4 with a ratio 1:1; two at) at −20 °C and protected from light.
2.5. H&E Staining, Tumor Size Quantification and Scoring of Invasiveness
Hematoxylin and Eosin (H&E)-staining was performed and tumor size determination was done as previously described [20]. In short, brains were sectioned and every 12th axial section at 1.8 to 4.2 mm from the dural surface was sampled (representing the area that was infiltrated by the tumor). Tumor volume was quantified according to the Cavalieri principle by determining the tumor area using the Axiovision Rel. 4.9 software (Carl Zeiss, Jena, Germany) in every sampled brain slice. Stereotactical coordinates of brain slices containing GBM were determined and used to calculate a Z-axis of the experimental brain tumor. This Z-axis was multiplied with the average brain tumor area per brain-section to obtain a tumor volume per animal. Invasive scores were assessed on H&E stained sections as previously described [39]. For every mouse, every 6th axial brain section containing tumor was given an invasive score from 0 to 3 as follows: a score of 0 means no histological cell invasion from the tumor mass is observed; a score of 1 represents a more extensive, connected group of invading GBM cells; a score of 2 describes smaller scattered groups of invading GBM cells; and a score of 3 indicates single, scattered, highly invasive GBM cells.
2.6. Immunofluorescence Staining and Quantification on Mouse Brain Sections
Floating sections were washed three times for five minutes in PBT (0.1% Tween-20 in 1× PBS) and then incubated in blocking buffer (5% normal donkey serum and 0.3% Triton X-100 in 1× PBS) for one hour at room temperature. Samples were incubated with the following primary antibodies: goat anti-GFP (1:400; catalog no. R1091P; OriGene Technologies, Rockville, MD, USA), rat anti-CD49d (1:50; catalog no. 103701; BioLegend, San Diego, CA, USA), goat anti-Iba1 (1:400; catalog no. ab5076; Abcam, Cambridge, UK) and rabbit anti-TMEM119 (1:100; catalog no. ab209604; Abcam) overnight at 4 °C. The next day, the sections were incubated for 2 h at room temperature with the following secondary antibodies: biotin-labeled donkey anti-rat or anti-rabbit (1:250; catalog no. 712-065-150; 711-065-152; Jackson Immuno-Research, West Grove, PA, USA) and/or for 1 h at room temperature with streptavidin-AF 647 or –AF488 (1:500; catalog no. 016-600-084; 016-540-084; Jackson Immuno-Research). Alternatively, sections were directly incubated for 2 h at room temperature with the secondary antibodies: donkey anti-goat AF488 or Cy3 (1:500; catalog no. 711-545-152; 705-165-147; Jackson Immuno-Research) and donkey anti-rat 647 (1:500; 712-605-153; Jackson Immuno-Research). All antibodies were diluted in blocking buffer. Nuclei were stained with 4’,6-Diamidino-2-phenylindol (DAPI; 1:10,000; Sigma Aldrich) for two minutes and washed three times in PBT. Finally, sections were mounted in a fluorescent mounting medium (catalog no. S3023; Dako, Agilent Technologies, Santa Clar, CA, USA).
For the quantification of the macrophage or microglia subpopulation in all tumor-associated myeloid cells (TAM), immunostainings were photographed on a Leica TCS SP8 confocal microscope at 40× magnification. Four images per tumor area on three random brain tumor sections per animal were obtained resulting in 12 images per animal. TAM were identified by Iba1-positivity, the microglia-subpopulation was identified by additional co-staining with the verified marker for tumor-associated microglia TMEM119 or by microglia-tracing in the Cx3cr1::creER2, R26-RFP mouse strain. The MDM subpopulation was identified by additional co-labeling with the verified macrophage marker CD49d or by tracing tumor-invading macrophages in the Ccr2-eGFP mouse. Numbers of single marker- or marker double-positive cells (validated for DAPI-positive nuclei) were counted by the multi-point tool in ImageJ. Finally, the percentages of macrophage or microglia subpopulations shown in the respective graphs were obtained by normalization of the respective cell numbers to total numbers of Iba1-positive TAM.
2.7. Statistical Analysis
All statistical analyses were performed using the GraphPad Prism 7 software (GraphPad Software, San Diego, CA, USA). The number of individuals, replicates, and or repetition of independent experiments are indicated in the figure text. An unpaired Student’s t-test was used when two independent groups were compared. One-way ANOVA together with a Newman–Keuls post hoc test was used in graphs comparing more than two groups. The Log-rank (Mantel–Cox) test was used to determine statistical significance in the survival experiment. The criterion for statistically significant differences was p < 0.05. p-values as shown in figures are: *, p < 0.05; **, p < 0.01; ***, p < 0.001; ****, p < 0.0001; and NS, not significant.
3. Results
3.1. Establishing a Non-Invasive Mouse Model for GBM Recurrence
The mGBM-TK cell line efficiently underwent cell death after in vitro GCV application (Figure S1A,B). After implantation of the mGBM-TK cells into the striatum of syngeneic wildtype mice (C57BL/6J), intraperitoneal (i.p.) GCV treatment from 14 to 17 days post operation (DPO) resulted in a very strong reduction of the tumor mass at 21 DPO (Figure S1C–E). Next, we performed a survival study using mGBM-TK cells implanted mice and compared GCV treatment (14 to 17 DPO) with controls (without GCV). Average survival of GCV-treated mGBM-TK mice was significantly prolonged to 55 DPO as compared to 21 DPO in the untreated controls (Figure S1E). In order to compare the pathological history in both groups, we next sacrificed mice every 7 days over the course of the disease and analyzed the brain tumors generated by mGBM-TK cells by histology (Figure 1A). In the untreated control group, the tumor mass gradually increased from 7 over 14 until 19–26 DPO, when mice became symptomatic (Figure 1B,C). In the recurrent mGBM derived from mGBM-TK cells implanted and treated with GCV (at 14 to 17 DPO) the tumor volume constantly decreased from 14 over 21 to 28 DPO (Figure 1B) and showed the histopathological pattern of a largely compact tumor mass (Figure 1D; arrowhead). After that, the remaining mGBM-TK cells began to grow again from clusters of surviving cells (Figure 1D, arrows) until 42–60 DPO when mice became symptomatic (Figure 1B,D and Figure S1D). The total volume of recurrent tumors at the humane endpoints was smaller (Figure 1B) than in the primary tumors (untreated controls). Interestingly, the recurrent mGBM had a multifocal histopathological appearance (Figure 1D; arrows) whereas primary mGBM controls usually presented as a single tumor mass (Figure 1C; arrowheads). In summary, our pharmacological mGBM-TK cell implantation model led to tumor relapse after near complete remission, which recapitulates GBM recurrence after surgical debulking.
3.2. Increased Invasiveness in the Recurrent GBM Mouse Model
In patients, GBM recurrence is often seen in brain regions that are relatively close to the site of the primary tumor but can also occur at distant intracerebral locations [40]. Likewise, in our relapse model, tumors recurred both at the original glioma site and at additional sites in a multifocal appearance. This indicated that mGBM-TK cells, throughout the process of tumor relapse, became more invasive than the primary tumor cells [39]. For comparison of the invasion phenotype, we analyzed tumor volumes from primary and recurrent at early, mid, and late stage of in vivo tumor growth. The earliest time point of tumor relapse we defined at 28 DPO when tumor volume after GCV treatment was smallest (Figure 1B). Next, we defined the endpoint of tumor development when mice became symptomatic in primary (19–26 DPO) or in the recurrent mGBM model (42–60 DPO). In addition, an intermediate time point was chosen for comparison of tumors at exponential growth, that was at 14 DPO or at 35 DPO for primary or recurrent mGBM, respectively (Figure 1B). By histopathological inspection at all the three stages of tumor growth the individual tumor volumes were assessed and the invasive phenotypes were scored [39]. Quantification of the Cavalieri tumor volumes confirmed that in the early stage of tumor growth, there was no significant difference in tumor size between the primary (7 DPO) and the recurrent mGBM (28 DPO) showing 1.70 and 1.42 mm3, respectively (Figure 2A,B). However, the invasive score of the recurrent mGBM was significantly higher (Figure 2B) than the invasive score of the primary mGBM (1.86 compared to 0.97) showing scattered groups of mGBM-TK cells that separated from the original tumor mass (Figure 2B; arrows). In the intermediate stage at exponential tumor growth (Figure 2C,D), tumor sizes in primary mGBM (14 DPO) and in recurrent mGBM (35 DPO) were again similar (6.45 or 7.95 mm3). The invasive score of the recurrent mGBM (35 DPO; invasive score: 1.54) was, however, significantly higher (Figure 2D) than in the primary mGBM (14 DPO; invasive score: 1.12) model. At late stage of tumor growth (when mice became symptomatic and experiments were terminated; Figure 2E), the tumor sizes of the recurrent mGBM were profoundly smaller than in the primary mGBM model (27.47 compared to 54.47 mm3). Notably, the invasive score of the recurrent mGBM (1.74) at this stage was strongly elevated as compared to the primary mGBM (invasive score: 1.12; Figure 2F).
We also compared the maximum invasive distances of single (GFP-positive) tumor cells in primary and recurrent mGBM (defined as trajectories between the border of the compact tumor mass located at the stereotactic coordinates of the implantation site and the most distantly invading cells). Strikingly, tumor cells of the recurrent mGBM model infiltrated very far into the brain (Figure 2G,H), while this was never observed for primary mGBM. Consequently, the average invasive distance in recurrent mGBM (Figure 2E) was much larger than in primary mGBM (3225 µm compared to 34.75 µm). This is underlined by the finding that only in the recurrent mGBM model distant relapse (like, e.g., in the cerebellum) was repetitively observed (and unequivocally confirmed by GFP-positivity; Figure S2A,B).In summary, we established a novel, minimally invasive mouse model for recurrent GBM, which recapitulates the pattern of increased invasiveness (even to distant sites) and the multifocal pattern of relapsing tumors that can be observed in patients [41,42,43].
3.3. Monocyte-Derived Macrophages Make Up the Majority of TAM in Recurrent GBM
TAM (comprising CNS-resident microglia and monocyte-derived macrophages) can promote tumor cell invasion [13,15,24]. Therefore, we investigated if the increased invasiveness in our recurrent GBM model is associated with changes in the number or composition of TAM. Hence, we immunostained samples from the primary or recurrent mGBM models for markers identifying MDM (integrin subunit alpha 4; ITGA4 also designated as CD49d) and for Ionized Calcium-Binding Adapter Molecule 1 (Iba1), which indicates all TAM (both MDM and microglia) [17] (Figure 3A). Interestingly, we found that in recurrent mGBM Iba1-positive cells co-labeling for CD49d were much more abundant than in primary mGBM (Figure 3B). Notably, overall numbers of Iba1-positive cells were not significantly changed. Next, we used the established microglia marker Transmembrane Protein 119 (TMEM119) [16] to identify tumor-associated microglia in our mGBM models (Figure 3C). In correspondence with our data from CD49d immunolabeling we found that Iba1 and TMEM119 co-labeled cells were much less abundant in recurrent as compared to primary mGBM (Figure 3D). Overall, we found that tumor-invading macrophages account for the majority of TAM in models for recurrent GBM whereas primary GBM largely harbor microglia.
We used different strategies to control for the specificity of our immunolabeling procedures. In a first series of control experiments, we used a Cx3cr1::creER2, R26-RFP mouse strain together with an established tamoxifen pulse-chase protocol [19] to exclusively label microglia in brain specimen (Figure S3A). Here, orthotopic implantation of GBM-cells was performed 28 days after tamoxifen treatment (this long chase period assures that, in the GBM microenvironment, RFP is expressed by microglia but not MDM) [19]. Tumors were allowed to grow for 7 days, and tissue was analyzed by immunostaining for CD49d or TMEM119 (Figure S3B). As expected CD49d staining was mutually exclusive with RFP-expression in Iba1-positive cells (Figure S3C). TMEM119 and the RFP tracer overlapped very reliably in experimental tumors (Figure S3B) and these TMEM119+RFP+ microglial cells accounted for approximately 25% of all Iba1-positive cells of the tumor parenchyma (Figure S3C). Similar data were obtained with the alternative immunolabeling paradigm (Figure S3C; 25% of all Iba1+ TAM were CD49d− RFP+ microglia). Next, we used the CCR2-GFP mouse strain [18] to re-evaluate the specificity of our MDM marker CD49d and the microglial marker TMEM119 with another, independent transgenic model (Figure S3D). This fully confirmed MDM as CD49d-positive and TMEM119-negative cells and corroborated that 25% of all TAM (at seven days of glioma-expansion) are contributed by microglial cells (Figure S3D–F). Altogether, these different controls verified CD49d and TMEM119 as specific makers for MDM or microglia in the GBM microenvironment and thereby confirmed that models for primary or relapsing GBM differ in phagocyte composition.
3.4. Signals from GBM Relapse and Not Surgical Intervention Itself Attract Peripheral Macrophages
It was suggested that surgical resection might alter the immune cell composition of relapsing GBM [26,44,45]. A transient influx of MDM into the resection cavity appears conceivable, as removal of the tumor mass inevitably damages the surrounding tissue. We used our model for pharmacological debulking of gliomas to investigate if surgery has a lasting effect on the intracerebral accumulation of MDM. Therefore, we used the transgenic Cx3cr1::creER2, R26-RFP microglia-tracing model (applying the tamoxifen pulse-chase paradigm for the identification of microglia, as outlined above) [19,46] and implanted mGBM-TK cells.
Again, primary or recurrent mGBM were generated from the same mGBM-TK cell implantation with and without i.p injection of GCV (Figure 4A). In a third experimental group (referred to as recurrent mGBM + OP), a surgical intervention (taking a large biopsy of the tumor mass) was performed together with the GCV treatment. Confocal analysis of immunofluorescence and transgenic markers (Figure 4B) revealed that the majority of Iba1-positive TAM in primary GBM were RFP-positive microglia (a facilitated view on all colocalizing pixels for the confocal channels recording Iba1 and RFP is given in the micrographs termed “Colocalization”; Figure 4B). In contrast, the majority of TAM observed in recurrent mGBM were RFP−Iba1+ MDM (Figure 4B–D). Strikingly, the neurosurgical intervention (in the experimental group recurrent mGBM + OP) did not have an enduring effect on the TAM-composition in relapsing GBM, which remained similar to the (entirely non-invasive) pharmacological debulking by GCV alone (Figure 4B–D). In summary these findings suggest that signals released specifically by the GBM relapse are sufficient to alter the macrophages-to-microglia ratio in recurrent GBM while surgery does not mediate an additional, durable effect on TAM composition.
3.5. Increased Macrophage Attraction Is Preserved in a Patient-Derived Xenograft Model for Recurrent GBM
To investigate if the relative increase of MDM among TAM in recurrent GBM is caused by signals released from dying cells in the recurrent mGBM relapse model or is initiated by MDM chemoattractants preponderantly released from live recurrent GBM cells, we orthotopically implanted GBM stem-like cells (GSC) derived from a primary (GBM20) or a recurrent GBM (GBM29) of the same patient [36,38,47]. Both, GBM20 and GBM29 were left to expand until mice became symptomatic and sections were co-stained for Iba1 and TMEM119 (Figure 5A). Interestingly, tumor-associated microglia (co-expressing Iba1 and TMEM119; as specifically visualized in the micrograph termed “Colocalization” in Figure 5A) contributed significantly more to the total number of TAM in xenografted primary hGBM than in recurrent hGBM (Figure 5B). Coherently, the fraction of Iba1+TMEM119− GBM-invading macrophages among all TAM was significantly increased in recurrent hGBM versus primary hGBM (Figure 5C). Hence, this model recapitulated the switch from a higher density of microglial TAM in primary GBM towards an increased density of MDM in recurrent GBM without an intermittent phase of pharmacological debulking (resulting in massive GBM cell death). This indicates important differences in immune-signaling cues of viable GBM at initial tumor growth and recurrence.
4. Discussion
Our data suggest that the specific biological characteristics of primary or recurrent GBM, but not surgery or cell death signaling, determine the contribution of microglia or MDM to the tumor microenvironment. This conclusion was based on the results obtained with both pharmacological debulking and patient-derived GSCs using a matched pair of primary and recurrent tumor cells. Our finding is in line with recent studies using single-cell profiling of myeloid cells in patient GBM [45]. These authors show that microglia-derived TAM are predominant in newly diagnosed tumors but are outnumbered by MDM following tumor recurrence.
While this shift towards tumor-invading macrophages was also observed in tumor recurrence after radiotherapy [27] it could not be resolved if this was a cause or a consequence of standard therapy against primary GBM. The advantage of our pharmacological mGBM-TK implantation model is that we can investigate tumor regrowth from GBM cells escaping a tumor cell specific death paradigm without therapeutic interventions that would also involve the parenchyma.
We observed that recurrent GBM were more invasive than primary GBM and often generated multifocal tumors at distant sites. Invasion is a pathological hallmark of GBM and likely a main reason for therapy failure [48,49]. Comparison of transcriptomic profiles from primary and patient-matched recurrent GBM suggested an evolutionary mechanism promoting therapy resistance and tumor recurrence [50,51]. Limitations for the interpretation of such approaches, however, are small patient cohorts [52]. Furthermore, in patient-derived samples it is usually difficult to analyze the consecutive genetic mechanisms of mutation and selection that occur during recurrence [10,40]. Our recurrent GBM models will allow dissecting the different microevolutionary steps promoting GBM relapse after pharmacological debulking alone or in conjunction with established therapeutic treatments.
Previous studies addressing tumor recurrence in preclinical models, e.g., used surgical removal of superficially implanted tumor into the cortex, which is not a common location for human GBM [26,31,32]. Moreover, the invasive nature of the surgical intervention causes damage that is highly variable from experiment to experiment. In other studies, whole brain irradiation was used to investigate tumor relapse with a dose that allowed the tumor to regress [53]. However, this method is largely different from clinical standard treatment. Usually, radiotherapy is applied after maximal surgical resection of GBM and irradiation is strictly directed towards an identified tumor target area [54,55]. In this study, we utilized the HSVTK suicide gene to establish a novel minimally invasive recurrent GBM mouse model. This new model recapitulated the whole process of glioma recurrence and demonstrated heterogeneous pathological features. Pharmacological treatment of mice with GCV i.p. efficiently killed mGBM-TK cells without side effects on the tumor microenvironment. By implanting stably transduced mGBM-TK cells into the mouse brain, we set up a system to induce cell death in dividing cells after GCV treatment. By controlling the GCV dose and narrowing the treatment window, we made sure that sufficient non-dividing cells at the time of treatment survive to produce a tumor to relapse after variable periods. We had previously shown that normal brain cells transduced by HSVTK in situ are not killed by GCV prodrug treatment, excluding bystander effects [56,57], while tumor cells were efficiently reduced [35,58].
Orthotopic implantation is a versatile method allowing to induce tumor relapse at various, pathologically relevant sites in the brain [59]. The extent and time course of tumor reduction can be closely controlled by induced cell death through the GCV concentration applied. By this, our relapse model can be executed in a scalable manner controlling number of cells implanted and measuring exact tumor volume upon remission.
5. Conclusions
We established a new minimally invasive mouse model for GBM relapse. We found that recurrent tumors were more aggressively invasive than primary GBM. Additionally, we found that the recurring tumors had a higher number of MDM and a lower number of microglia in the entire population of TAM. This shift in immune-composition of GBM appeared to be independent from cell-death signaling or surgical intervention. This model provides the means to thoroughly dissect the entire process of tumor relapse under defined conditions and represents an efficient tool for preclinical studies aiming to improve the therapeutic management of relapsing GBM.
Acknowledgments
We would like to thank Stefanie Lange for the great technical support through the experiments and Steffen Dietzel and Andreas Thomae (Core Facility Bioimaging, Biomedical Center, LMU München) for the expert assistance in confocal microscopy. The generous financial support of Dirk Ippen and Marlene Ippen is thankfully acknowledged.
Supplementary Materials
The following are available online at https://www.mdpi.com/article/10.3390/cancers13143636/s1, Figure S1: mGBM-TK cells are efficiently killed by GCV treatment leading to prolonged survival of orthotopically implanted mice, Figure S2: Tumor recurrence is found throughout the brain in local and distant sites, Figure S3: TMEM119 and CD49d specifically distinguish tumor-associated microglia from monocyte derived-macrophages in mouse GBM.
Author Contributions
Conceptualization, R.G. and R.E.K.; Formal analysis, D.Z., R.U., H.Z., R.G. and R.E.K.; Funding acquisition, R.G. and R.E.K.; Investigation, D.Z., R.U., H.Z., R.G. and R.E.K.; Methodology, D.Z., R.U., H.Z., J.A.H., H.M., R.G. and R.E.K.; Project administration, R.G. and R.E.K.; Resources, H.M., J.-C.T., R.G. and R.E.K.; Supervision, R.G. and R.E.K.; Validation, D.Z., H.M., R.G. and R.E.K.; Visualization, D.Z., R.G. and R.E.K.; Writing—original draft, D.Z. and R.E.K.; Writing—review and editing, D.Z., R.G. and R.E.K. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by the DFG (GL691/2; SFB824), the “Wilhelm Sander-Stiftung“, the “Anni-Hofmann Stiftung“, the “Verein zur Förderung von Wissenschaft und Forschung an der Medizinischen Fakultät der LMU München“ (WiFoMed). D.Z. and H.Z. were supported by a China Scholarship Council (CSC) graduate scholarship.
Institutional Review Board Statement
The study was conducted according to the guidelines of the German National Guidelines for Animal Protection and conducted with the approval of the local animal care committee of the Government of Oberbayern (Regierung von Oberbayern; Az.55.2-1-54-2532). GBM cells from human primary and recurrent GBM were obtained from planned resections (ethics licenses EA112/2001, EA3/023/06 and EA2/101/08 and D-562-15).
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
Supporting information and data on primary GBM cell cultures can be found at ArrayExpress and at European Nucleotide Archive (E-MTAB-7649, E-MTAB-7649, E-MTAB-9341, E-MTAB-9343, ENA: PRJEB24104) and in Mastrella et al., 2019 [38], Kälin et al., 2021 [20] and Volmar et al., 2021 [47].
Conflicts of Interest
The authors declare no conflict of interest.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Supporting information and data on primary GBM cell cultures can be found at ArrayExpress and at European Nucleotide Archive (E-MTAB-7649, E-MTAB-7649, E-MTAB-9341, E-MTAB-9343, ENA: PRJEB24104) and in Mastrella et al., 2019 [38], Kälin et al., 2021 [20] and Volmar et al., 2021 [47].