Abstract
Tumor-associated macrophages (TAMs) are enriched in glioblastoma (GBM) that contains glioma stem cells (GSCs) at the apex of its cellular hierarchy. The correlation between TAM density and glioma grade suggests a supportive role of TAMs in tumor progression. Here we interrogated the molecular link between GSCs and TAM recruitment in GBMs and demonstrated that GSCs secrete Periostin (POSTN) to recruit TAMs. TAM density correlates with POSTN levels in human GBMs. Silencing POSTN in GSCs markedly reduced TAM density, inhibited tumor growth, and increased survival of mice bearing GSC-derived xenografts. We found that TAMs in GBMs are not brain-resident microglia, but mainly monocyte-derived macrophages from peripheral blood. Disrupting POSTN specifically attenuated the tumor supportive M2 type of TAMs in xenografts. POSTN recruits TAMs through integrin αvβ3 as blocking this signaling by an RGD peptide inhibited TAM recruitment. Our findings highlight the possibility of improving GBM treatment by targeting POSTN-mediated TAM recruitment.
Keywords: POSTN, Tumor-associated macrophage (TAM), Glioblastoma (GBM), Cancer stem cell, Microglia
Introduction
Glioblastoma multiforme (GBM) is the most common and lethal type of primary brain tumor1. The median survival of GBM patients is less than 16 months despite optimal treatment2. Abundant macrophage infiltration is a common feature of GBMs, but these tumor-associated macrophages (TAMs) in GBMs lack apparent phagocytic activity3. In addition, an inverse correlation between TAM infiltration and GBM prognosis has been reported4. Recent studies suggested that TAMs may promote GBM tumor progression in multiple aspects5–8. The TAM-secreted cytokines, including IL-6 and IL-10, have been shown to promote cancer cell proliferation in GBMs8. TAMs could also facilitate GBM tumor growth by promoting neo-vascularization6, 7. Moreover, TAMs can interfere with the anti-tumor functions of other immune cells5, although TAMs do not display traditional immunocyte properties. Thus, TAMs mainly play a tumor-supportive role in GBM progression. As pioneer immunotherapies have shown initial promise for GBM treatment, interrogating immunologic regulation in GBMs may inform therapy9–11. In addition, since TAMs in GBM may originate from either monocytes from peripheral blood or resident microglia in brain, identifying the source of TAMs in GBMs will provide critical information to determine the appropriate therapeutic approaches. Therefore, determining the cellular and molecular mechanisms underlying TAM recruitment may facilitate the development of therapeutics to effectively improve GBM treatment.
Macrophages can be categorized into M1 and M2 subtypes based on their polarization status12. In tumors, the M1 or M2 subtype TAMs represent tumor suppressive or tumor supportive macrophages, respectively13. Cell surface markers including Iba1 and CD11b are commonly used to label total TAMs12, 14. Several surface markers such as CD163, Fizz1 and Arg1 have been used to mark M2 subtype TAMs, while other surface markers including MHCII, CD11c and iNOS have been suggested for M1 subtype TAMs15–19. Although TAMs in lower grade astrocytomas were strongly stained with the M1 marker MHCII20, TAMs in GBM tumors manifested strong M2 marker staining15, 21. Such correlation between tumor grades and the M2 TAM abundance further suggests that the M2 type TAMs might play a critical role in GBM progression. However, TAMs in GBMs may be derived from circulating monocytes or resident microglia13, 16. Despite the fact that these two populations may share some surface markers in brain17, 18, the studies using CX3CR1(+/GFP)-CCR2(+/RFP) knock-in fluorescent protein reporter mice demonstrated that microglia are CX3CR1+/CCR2− but the monocyte-derived macrophages are CCR2+/CX3CR1− 22, indicating that microglia and monocyte-derived macrophages in brains are different populations with distinct and specific surface antigens.
GBM displays remarkable cellular heterogeneity and differentiation hierarchy of cancer cells containing glioma stem cells (GSCs) that are able to self-renew, differentiate and repopulate the whole tumor bulk23–25. GSCs contribute to GBM tumor growth, vascularization, and therapeutic resistance26, 27. GSCs are localized and maintained in the specific microenvironment called niches within a GBM tumor. Surprisingly, the GSC niches are also enriched with TAMs28–30. Both TAMs and GSCs are abundant in the proximity of blood vessels known as perivascular niche28, 31, 32. In the hypoxic regions within GBM tumors, high density of CD11b+ and F4/80+ TAMs can be detected29, 30, 33. Consistently, several lines of evidence highlighted the enhanced propagation of GSCs in the hypoxic regions30, 33. Furthermore, similar to the concurrence between the increased GSC population and GBM relapse19, 34, correlation between TAM re-infiltration and tumor recurrence is often detected in GBMs35. These phenomena strongly suggest the interrelationship between GSCs and TAMs in GBM tumors.
To interrogate the molecular link between GSCs and TAM recruitment, we screened for candidate chemoattractants of TAMs from GSC secreted proteins. We identified Periostin (POSTN) as a potent TAM attractant that is preferentially expressed in GSCs. POSTN (originally called OSF-2) is a member of the Fasciclin family and a disulfide-linked cell adhesion protein36. POSTN is involved in various aspects of tumorigenic processes through signaling pathways such as Akt/PI3K, integrin and Wnt-137, 38. Recently, POSTN was shown to be preferentially upregulated in stromal fibroblasts of breast cancer and help the maintenance of breast cancer stem cells by increasing Wnt signaling, thus POSTN plays a supportive role in cancer stem cell metastatic colonization and breast cancer metastasis38. In addition, POSTN plays crucial roles to promote tumor progression including growth, invasion and metastasis in several malignant cancers36, 38, 39. In this study, we found that TAM density positively correlates with POSTN protein levels in human GBMs. Disrupting POSTN dramatically reduced TAM density, inhibited tumor growth, and increased the survival of mice bearing the GSC-derived xenografts. We determined that TAMs in GBMs are mainly monocyte-derived macrophages (CCR2+/CX3CR1−) from peripheral blood but not resident microglia (CX3CR1+/CCR2−) from brain. Silencing POSTN specifically attenuated the tumor supportive M2 type (CD163+/Fizzl+) of TAMs in GSC-derived tumors. We further demonstrated that POSTN mediates through integrin αvβ3 to recruit TAMs in vivo. Thus, POSTN secreted by GSCs recruits M2 type of TAMs to support GBM growth.
RESULTS
POSTN is preferentially secreted by GSCs and correlates with TAM density in primary GBMs
To investigate the potential molecular link between GSCs and TAM recruitment, we screened for the GSC-secreted specific factors that can potently attract macrophages (primed U937) in the in vitro migration and invasion assays. First, we determined several secreted factors differentially expressed by GSCs through RT-qPCR analysis (qPCR array) and identified Periostin (POSTN) as one of the most abundantly expressed cytokines in GSCs (Supplementary Table 1). The transwell migration and invasion assays indicated that POSTN is a dominant chemoattractant to attract the primed U937 macrophage-like cells in (Supplementary Fig. 1a and 1b). Bioinformatic analyses of the TCGA database showed that POSTN expression negatively correlates with overall and progression-free survival of GBM patients (Supplementary Fig. 1c and 1d). To interrogate the potential link between POSTN expression and GBM tumor growth, we examined the pattern of POSTN expression in human GBM surgical specimens by immunofluorescence and found that POSTN is preferentially expressed by cancer cells expressing GSC markers (SOX2 and OLIG2) and distributed in the area around GSCs (Fig. 1a, 1b and Supplementary Fig. 1e). To confirm the differential expression of POSTN in GSCs, we measured POSTN protein levels in matched GSCs and non-stem tumor cells (NSTCs) and found that GSCs preferentially expressed much higher levels of POSTN relative to NSTCs (Fig. 1c). Consistently, conditioned media from GSCs contain much more POSTN protein than that from matched NSTCs (Fig. 1d). These data demonstrate that POSTN is preferentially secreted by GSCs in human GBMs. As GSCs and TAMs are both enriched in perivascular niches in GBMs, we next examined the potential link between POSTN expression and TAM density in primary GBMs in tissue microarrays. Immunofluorescence with antibodies against POSTN and the macrophage marker Iba1 confirmed that TAMs are enriched in POSTN-abundant regions (Fig. 1e and Supplementary Fig. 1f and 1g). Immunohistochemistry confirmed that GBMs with higher levels of POSTN contain higher density of TAMs (Fig. 1f and 1g), suggesting a positive correlation between POSTN expression levels and TAM density in human GBMs.
Silencing POSTN in GSCs reduces TAM recruitment, inhibits tumor growth, and extends survival of mice bearing GSC-derived xenografts
To address whether GSC-secreted POSTN plays a role in TAM recruitment and GBM tumor growth, we examined the effect of POSTN knockdown on TAM density and tumor growth in GSC-derived GBM xenografts. Lentiviral mediated shRNA silencing reduced POSTN expression in GSCs by 85–90% (Fig. 2a and Supplementary Fig. 2a). GSCs expressing POSTN shRNAs (shPOSTN) or non-targeting shRNA (shNT) and firefly luciferase were transplanted into immunocompromised mice through intracranial injection. Bioluminescent imaging of orthotopic tumors in vivo showed a dramatic inhibition of tumor growth in the xenografts derived from GSCs expressing shPOSTN relative to those expressing shNT (Fig. 2b). Consistently, silencing POSTN also significantly extended the survival of mice bearing the GSC-derived tumors (Fig. 2c and Supplementary Fig. 2b and 2c). These data demonstrate a supportive role of POSTN in GBM tumor growth. Given that POSTN protein levels showed a positive correlation with TAM density in primary GBMs, we next examined the impact of POSTN down-regulation on TAM density in the GSC-derived xenografts with immunofluorescence staining of two well-defined macrophage makers Iba1 and CD11b40, 41. TAM density was dramatically reduced by more than 65% in the tumors derived from GSCs expressing shPOSTN while abundant TAMs were present in control tumors derived from shNT-transduced GSCs (Fig. 2d–2f, Supplementary Fig. 2d–2e and 3a–3c). We confirmed that Iba1 and CD11b staining overlapped in marking TAMs in GBM intracranial xenografts (Supplementary Fig. 3d) and the isolated TAMs from the subcutaneous xenografts (Supplementary Fig. 3e). Collectively, these data demonstrate that GSC-secreted POSTN plays critical roles in promoting TAM recruitment and GBM tumor growth.
TAMs in GBM are monocyte-derived macrophages from peripheral blood
As the origin of TAMs in GBM has not been well defined, we next sought to address whether TAMs recruited by POSTN in GBM tumors are monocyte-derived macrophages from peripheral blood or resident microglia from brain. Previous reports have shown that microglia within normal brain are CX3CR1+/CCR2− while the monocyte-derived macrophages are CCR2+/CX3CR1− 22, 42, so we applied these markers to analyze the TAMs in GSC-derived xenografts and primary GBM tumors. Consistently, the majority of macrophages were CX3CR1+/CCR2− within the normal mouse brain (Fig 3a, bottom panels), confirming they were resident microglia. However, only CCR2+/CX3CR1− macrophages were found in the GSC-derived GBM xenografts (Fig 3a, top panels), demonstrating that POSTN-recruited TAMs in GBMs were monocyte-derived macrophages from peripheral blood. We further validated that TAMs in the majority of human primary GBMs were also CCR2+/CX3CR1−, the monocyte-derived macrophages (Fig. 3b–3c and Supplementary Fig. 4a). Moreover, we found that TAMs were enriched around blood vessels in primary GBMs and the GSC-derived xenografts (Fig. 3d and 3e). These data demonstrate that the recruited TAMs in GBMs are mainly monocyte-derived macrophages originated from peripheral blood.
Disrupting POSTN in GSCs specifically reduces M2 tumor supportive TAMs in vivo
Recent studies indicated that there are at least two subtypes (M1 and M2) of TAMs in tumors43–45. The M1 subtype has an inhibitory effect on tumor growth whereas the M2 subtype plays a supportive role to promote tumor progression by secreting cell growth cytokines and survival factors46–48. To address which subtype of TAMs was recruited or maintained by POSTN in GBM tumors, we applied M2-specific markers (Fizz-1, CD163, and Arg1)15, 49, 50 and M1-specific markers (MHCII and CD11c)14, 51 to distinguish TAMs in GSC-derived tumors. More than 50% of TAMs in control tumors derived from GSCs expressing shNT were M2 subtype TAMs as they were positive for Fizz-1, CD163 and Arg1 (Fig. 4a–4i), which mimics the situation in primary GBMs (Supplementary Fig. 4b–4g). However, the M2 TAMs (Fizz-1+, CD163+ or Arg1+) were markedly reduced in the GBM tumors derived from GSCs expressing shPOSTN (Fig. 4a–4i), indicating that disrupting POSTN in GSCs attenuated the M2 TAMs in the GSC-derived tumors. Consistently, overexpression of POSTN in GSCs accelerated xenograft growth and increased M2 TAM recruitment (Fig. 4j and 4k). In addition, a fraction (<50%) of TAMs was positive for the M1 subtype markers MHCII and CD11c in tumors derived from shNT-transduced GSCs (Fig. 5a–5f). In contrast, the majority of TAMs in the GBM tumors derived from GSCs expressing shPOSTN showed positive staining for the M1 markers MHCII and CD11c (Fig. 5a–5f), although total TAMs were dramatically reduced in the POSTN-silencing tumors relative to POSTN-expressing tumors. In addition, F4/80, a marker for macrophage maturation52, was detected in most TAMs (76%~88%) within POSTN-silencing tumors (Fig. 5g–5i). However, only a small proportion (10–15%) of TAMs in the tumors derived from shNT-transduced GSCs were F4/80 positive (Fig. 5g–5i), suggesting an inhibition of macrophage maturation by POSTN in GBM tumors. Collectively, these data indicate that GSC-secreted POSTN also plays a critical role in maintaining the M2 subtype of TAMs in GBM tumors.
To further validate the role of POSTN in regulating M1/M2 subtype of TAMs, we applied qPCR to determine the expression of multiple M2 and M1 markers in TAMs. CD11b+ cells in GBM xenografts were isolated by magnetic assisted cell sorting (MACS). When we examined M1/M2 marker expression in the CD11b+ populations from xenografts derived from shNT- or shPOSTN-expressing GSCs, we detected a significant down-regulation of the M2 markers STAB1 and Lyve1 but a substantial up-regulation of the M1-specific markers CCL17 and IL1b43 in the CD11b+ TAMs isolated from the xenografts derived from POSTN-silencing GSCs (Fig. 5j). These data further confirmed that POSTN not only recruits TAMs but also maintains the M2 subtype of TAMs in GBMs.
POSTN displays potent capacity to recruit macrophages/monocytes
To validate whether POSTN functions as a potent GSC-secreted chemoattractant, we performed a series of migration and invasion assays to examine the capacity of POSTN to attract macrophages/monocytes. Conditioned media from GSCs attracted significantly more PMA-primed macrophage-like U937 cells than the media from matched non-stem tumor cells (Fig. 6a and 6b). Pre-incubation of GSC conditioned media with an anti-POSTN antibody attenuated the promoting effect of macrophage migration (Fig. 6c and 6d). Furthermore, silencing POSTN expression in GSCs by two specific shRNAs also significantly reduced such chemoattractant effect (Fig. 6e and 6f). When exogenous POSTN was overexpressed in non-stem tumor cells (Fig. 6g), the resultant conditioned media displayed dramatically increased ability to attract the U937-derived macrophage-like cells (Fig. 6h–6i). The capacity of POSTN to attract monocyte/macrophages was further demonstrated with the isolated human primary monocytes in migration and invasion assays (Fig. 6j–6m). To further address whether POSTN-mediated attractant effect is dose-dependent, we examined the impact of different concentrations of recombinant POSTN (rPOSTN) protein on macrophage migration. The migration of U937 macrophages toward POSTN was significantly enhanced with increase of rPOSTN protein (Fig. 6n and 6o), indicating that POSTN attracts macrophages in a dose-dependent manner. Collectively, these data demonstrate that POSTN preferentially secreted by GSCs displays potent capacity to attract macrophages.
POSTN recruits TAMs via integrin αvβ3 signaling
Next, we turned attention to the molecular mechanisms underlying the POSTN-mediated recruitment of TAMs. Previous reports suggested that integrin αvβ3 is the key receptor for POSTN in mediating cell migration53, 54. Immunofluorescence staining showed that TAMs in GBM xenografts and primary GBM tumors express integrin αvβ3 (Fig. 7a and 7b), suggesting that the POSTN-integrin αvβ3 axis may regulate TAMs recruitment. To elucidate the signaling mediated by POSTN for TAM recruitment, we examined whether GSC-secreted POSTN can activate integrin αvβ3 on monocyte-derived macrophages in vitro. We applied the U937 line that can be primed from monocytes to macrophage-like cells55, 56 for the study, as most of the PMA-primed U937 cells are integrin αvβ3 positive (Fig. 7c). Consistently, POSTN induced activation of Akt in the primed U937 cells, which can be blocked by addition of anti-integrin αvβ3 antibody (Fig. 7d), indicating that POSTN can activate integrin αvβ3 pathway in macrophages. We then examined the impact of an integrin inhibitory RGD peptide (Arg-Gly-Asp-d-Phe-Lys) related to a clinically developed anti-tumor agent, Cilengitide57, on POSTN-mediated recruitment of U937 macrophages. Disruption of the integrin signaling in U937 cells by the RGD inhibitory peptide significantly attenuated the recruitment of the macrophages by rPOSTN protein (Fig. 7e and 7f), suggesting that integrin αvβ3 on macrophage surface is involved in the response to POSTN. To confirm whether the POSTN-integrin αvβ3 axis plays a critical role in the POSTN-mediated TAM recruitment in vivo, we further investigated the inhibitory effect on TAMs recruitment by the RGD peptide in GSC-derived GBM xenografts. Surprisingly, the GSC-derived tumors in the group of mice treated with the RGD peptide for 5 days showed ~70% reduction in TAM density relative to the control tumors from mice treated with a control peptide (Fig. 7g and 7h). Taken together, these data indicate that POSTN recruits TAMs through integrin αvβ3 signaling in GBM tumors.
Intracranial co-transplantation of M2 subtype TAMs with GSCs accelerates tumor growth of GSC-derived xenografts
As silencing POSTN specifically reduces M2 type of TAMs and potently inhibited tumor growth in GSC-derived xenografts, we next investigated the role of M2 TAMs in GBM tumor growth. Statistical analysis of TCGA database showed that the M2 macrophage marker CD163 negatively correlated to GBM patient survival (Supplementary Fig. 4h), but the M1 macrophage marker MHCII positively correlated to prognosis (Supplementary Fig. 4i). In addition, immunofluorescent and immunohistochemical analyses demonstrated a positive correlation between POSTN expression and M2 subtype macrophage density in human GBM specimens (Supplementary Fig. 5a–5c). POSTN treatment enhanced expression of M2 markers but reduced expression of M1 markers in mouse intraperitoneal macrophages and U937-derived macrophage-like cells (Supplementary Fig. 5d–5e), although disrupting POSTN by shRNAs showed mild impact on GSC proliferation in vitro (Supplementary Fig. 6a–6c). These data suggest that the M2 subtype TAMs recruited and maintained by GSC-secreted POSTN may play a critical role in GSC-derived xenograft growth. To further explore the impact of M2 subtype TAMs on GBM tumor growth, we isolated CD11b+ TAMs that are enriched with M2 subtype TAMs from GSC-derived orthotopic xenografts, and then transplanted these TAMs with luciferase-expressing GSCs into mouse brains. Bioluminescent imaging demonstrated that intracranial co-transplantation of M2 TAMs with GSCs dramatically accelerated GSC tumor growth relative to the transplantation of GSCs alone (Fig. 8a). Moreover, co-transplantation of M2 TAMs with GSCs also significantly shortened the survival of animals relative to the GSC transplantation alone (Fig. 8b). In addition, co-transplantation of M2 TAMs with GSCs expressing shPOSTN partially rescued the inhibition of GSC tumor growth caused by POSTN disruption (Fig. 8c), indicating an essential role of TAMs in mediating the POSTN-promoted tumor growth. The failure to fully rescue the inhibiting effect of POSTN silencing in GSC tumor growth by the co-transplanted M2 TAMs may be ascribed to the loss of M2 properties, impacted viability, or migration away of these TAMs from the tumor due to the absence of POSTN. Collectively, these data demonstrate that the M2 subtype TAMs have potent capacity to promote GBM growth in vivo.
DISCUSSION
GBM often contains a large number of TAMs that constitute the dominant immune cell population within the tumor. Accumulating evidence suggests that TAMs rarely phagocytize cancer cells or behave like antigen-presenting cells43, 58. The M2 subtype TAMs are now widely regarded as immunosuppressive cells with a tumor supportive role15, 43, although a role of M1 TAMs in anti-tumor immune responses has been reported59. Tumors may recruit TAMs via secretion of CC chemokine ligand 2 (CCL2) and soluble colony-stimulating factor 1 (sCSF1) in other cancers60–63. In this study, we demonstrated that TAMs in GBMs are mainly recruited by POSTN, a chemokine preferentially expressed by GSCs but rarely expressed by non-stem tumor cells or differentiated glioma cells in GBMs (Fig. 1c, 1d and Supplementary Fig. 6d–6i). GSC-secreted POSTN functions as a potent chemoattractant to recruit monocyte-derived macrophages from peripheral blood and maintain M2 subtype of TAMs to promote tumor growth in GBMs (Fig. 8d). The fact that only CCR2+ macrophages but not CX3CR1+ macrophages appeared in the GSC-derived GBM tumors indicates a preferential recruitment of peripheral macrophages by GSC-secreted POSTN, as CCR2 is a specific marker for monocyte-derived macrophages, whereas CX3CR1 is an indicator of resident microglia from brain22, 42. Consistently, we detected enrichment of TAMs around vessels (Fig. 3d and 3e). As GSCs tend to cluster in perivascular niches28, 31, 32, GSCs may modulate their microenvironment through POSTN-mediated TAM recruitment to form a favorable niche for the survival of both GSCs and TAMs. The interplay between GSCs and TAMs may be critical to promote GBM tumor growth.
Our results demonstrated that disrupting POSTN in vivo significantly reduced recruitment of the tumor supportive TAMs (M2 type) and inhibited GBM tumor growth. To determine other biological effects of POSTN down-regulation in GBM tumors, we also examined the impact of targeting POSTN on several aspects of tumor biology such as vessel density, GSC population, cell proliferation and survival. POSTN knockdown had no obvious effects on vascular density in GSC-derived xenografts (Supplementary Fig. 7a–7c). Similarly, blocking POSTN-integrin αvβ3 signaling by RGD treatment didn’t show significant impact on vessel density (Supplementary Fig. 7d and 7e). However, the vessel morphology changed to some degree, which may be associated with the reduced TAM density. In addition, POSTN knockdown had no significant impact on GSC populations in tumor bulk as demonstrated by SOX2 immunofluorescence (Supplementary Fig. 8a and 8b). Furthermore, there was no significant difference in cancer cell proliferation between the GSC-derived tumors expressing shPOSTN and shNT as indicated by Ki-67 staining (Supplementary Fig. 8c and 8d). In contrast, targeting POSTN induced massive apoptosis in GSC-derived xenografts as demonstrated by TUNEL assay (Supplementary Fig. 8e and 8f). Moreover, qPCR analysis demonstrated a dramatic up-regulation of M2 markers STAB1 and Lyve1 in CD11b+ cells (TAMs) from GBM xenografts relative to resident microglias from normal mouse brains (Supplementary Fig. 8g). These data suggest that the reduced M2 TAMs caused by POSTN disruption might be closely associated with the increased apoptosis and inhibited tumor growth in the GBM xenografts expressing shPOSTN. Thus, POSTN-mediated recruitment and maintenance of M2 TAMs largely contributes to the accelerated tumor growth by promoting cancer cell survival in GBMs, although POSTN itself may also partially play a direct role on promoting tumor cell survival in vivo. It will be important to determine how POSTN-recruited M2 TAMs augment cancer cell survival in GBMs in the future study.
Our studies uncovered the cellular and molecular mechanisms underlying the TAM recruitment in GBMs. We also identified the origin of TAMs and their subtype in this lethal type of brain tumor. GSCs preferentially secrete POSTN to recruit TAMs into GBM tumors, although other factors may also affect immune cells in GBMs. As POSTN-recruited TAMs are mainly monocyte-derived macrophages from blood, the contribution of microglia from brain to TAMs in GBMs is not as critical as we previously thought. Thus, targeting monocyte-derived TAMs should be considered as the major focus of GBM immunotherapy. Furthermore, we demonstrated that POSTN-recruited TAMs are maintained as pro-tumorigenic M2 subtype of macrophages, indicating that the recruited TAMs may produce important factors to augment GBM tumor growth. Consistently, silencing POSTN expression markedly reduced TAMs and inhibited GBM tumor growth by reducing cell survival. As previous studies in other tumors such as colon cancers have shown that POSTN promotes cancer cell survival through AKT activation36, 37, it’s likely that POSTN may affect GBM tumor growth via multiple mechanisms besides recruitment and maintenance of M2 TAMs. Thus, targeting POSTN signaling, blocking POSTN-mediated TAM recruitment and eliminating the POSTN producer GSCs are likely to be attractive therapeutic approaches. As a reciprocal supportive interplay between cancer cells and TAMs may be critical to promote tumor progression, disrupting the interrelationship between TAMs and cancer cells especially GSCs may effectively inhibit GBM tumor growth. Recently, targeting TAMs by trabectedin has been shown to exhibit a significant anti-tumor activity in lung carcinoma, ovarian cancer and fibrosarcoma64. Our finding of molecular mechanisms underlying the TAM recruitment by GSC-secreted POSTN may shed light on the development of therapeutics to improve GBM treatment. In addition, therapeutic targeting of POSTN-mediated TAM recruitment may synergize with current immunotherapies to effectively increase survival of patients with GBMs and possible other lethal cancers.
METHODS
Human GBM specimens and glioma-derived cells
De-identified GBM surgical specimens were collected from Cleveland Clinic Brain Tumor and Neuro-Oncology Center and the University Hospitals-Case Medical Center in accordance with Institutional Review Board-approved protocols. Informed consent was obtained from all patients. Tissue microarray slides containing 96 GBM samples were purchased from US Biomax. Characteristics of the original cancers were described previously65. GSCs and matched non-stem tumor (NSTCs) cells were isolated from GBM specimens or xenografts through cell sorting and functionally characterized as previously described26, 65, 67, 68 with minor modification. Briefly, GBM tumors were disaggregated using the Papain Dissociation System (Worthington Biochemical) according to the manufacturer’s instructions. Isolated cells were recovered in stem cell medium (Neurobasal-A medium with B27 supplement, 10 ng/ml EGF and 10 ng/ml bFGF) for at least 6 hours to allow re-expression of surface markers, and then sorted by fluorescence-activated cell sorting (FACS) using at least two surface markers (CD15/CD133). Cells were labeled with a phycoerythrin (PE)-conjugated anti-CD133 antibody (Miltenyi Biotec, 130-098-826, 1:11) and the FITC-conjugated anti-CD15 antibody (Millipore, CBL144F, 1:20), and the CD133+/CD15+ cells were isolated through cell sorting. The enriched GSCs (CD133+/CD15+) were maintained in the stem cell medium and the identity was confirmed by SOX2 and OLIG2 expression and the activation of SOX2 promoter-driven GFP expression. The cancer stem cell phenotype of GSCs was validated by functional assays of self-renewal (serial neurosphere formation at the clonal density), in vitro induction of differentiation and tumor propagation (in vivo limiting dilution assay) as previously described26,65,67,68. After validation of the cancer stem cell phenotype by these functional assays, the sorted GSCs were used for the in vitro and in vivo experiments. The sorted CD133-/CD15− cells from matched GBM tumors were used as non-stem tumor cells (NSTCs).
Intracranial tumor formation in vivo
Intracranial transplantation of GSCs to establish GBM xenografts was performed as described26, 65. Female C57BL/6 athymic nude mice of 4–6 weeks were purchased from Charles River Laboratories. GSCs were transplanted into the right cerebral cortex at a depth of 3.5 mm through intracranial injection. Mice were euthanized when exhibiting neurological sign including domehead, haemiparesis, or more than 20% of body weight loss. All animal protocols were approved by the Animal Research Committee of the Cleveland Clinic, and all animals were housed in the Association for the Assessment and Accreditation of Laboratory Animal Care-accredited animal facility at Cleveland Clinic Lerner Research Institute. No specific method was used to predetermine sample size. The experiments were not randomized. Only animals with accidental death (for example, due to infection or intracranial injection) were excluded from the data analysis. The investigators were not blinded to allocation during experiments and outcome assessment. GSCs were transduced with expression of NT shRNA (shNT) or POSTN shRNAs (shPOSTN) along with luciferase through lentiviral infection. 48 hours after infection, 20,000 viable cells were engrafted intracranially into immunocompromised mice. Animals were monitored by bioluminescent imaging or maintained until manifestation of neurological signs.
Immunoblotting and immunofluorescent staining
Immunoblotting and immunofluorescent staining were performed as described65, 66. Specific antibodies against POSTN (Abcam, ab14041, 1: 400), GSC marker SOX2 (Millipore, AB5603, 1:200; Santa Cruz, sc-17320, 1:200) or OLIG2 (R&D systems, AF2418, 1:100), endothelial cell marker Glut1 (Millipore, 07-1401, 1:500) or CD31 (Dako, M082301, 1:100), and macrophage markers Iba1 (Abcam, ab5076, 1:200), CD11b (Abd serotec, MCA711GT, 1:100), Fizz1 (Abcam, ab39626, 1:100), CD163 (Santa Cruz, sc-33560, 1:100), F4/80 (Abd serotec, MCA497RT, 1:100), CX3CR1 (Abcam, ab8021, 1:100) or CCR2 (Abcam, ab32144, 1:100) were used for immunofluorescent staining on GBM tumor sections as indicated. Specific antibodies against POSTN (Abcam, ab14041, 1: 10,000), tubulin (Sigma, T8203, 1:10,000), phosphor-S473 Akt (Cell Signaling Technology, 9271, 1:1,000), Akt (Cell Signaling Technology, 9272, 1:1,000) were used for immunoblot analyses. To determine TAM density, cryosections of GBM tumors were co-stained with Iba1 (or CD11b) and Glut1. The numbers of Iba1+ (or CD11b+) cells were calculated by ImageJ. Glut1 positive areas were regarded as vessels and determined by ImageJ. For TAMs density in each sample, the number of Iba1+ (or CD11+) cells was divided by vessel area for normalization to exclude the individual variation in vascularization. The final outcome was defined as the TAM density.
Immunohistochemical (IHC) staining
IHC staining was carried out with the ABC kit and DAB kit (Vector Laboratories) according to manufacturer’s instructions. Primary antibodies for POSTN (ab14041, 1:400), Iba1 (ab5076, 1:400), CX3CR1 (ab8021, 1:100), CCR2 (ab32144, 1:100) and Ki67 (ab15580, 1:400) from Abcam were used for the IHC staining. To study the correlation between POSTN level and TAM recruitment, the sequential sections of primary GBM microarrays were stained with antibodies against POSTN or Iba1, respectively. The IHC staining of POSTN was evaluated by two independent pathologists. The samples with a score of 0~1 were regarded as low expression and those with a score of 2~4 were regarded as high expression. For Iba1 evaluation, 3 random areas from a single section were checked for Iba1+ cells. If the average number of Iba1+ cells was less than 100 Iba1+ cells in 4.2mm2 (2.36×1.78 mm2), the sample was ascribed to Iba1 low. Otherwise the sample was classified as Iba1 high.
TUNEL assays
TUNEL assays detecting apoptosis in tumor sections were performed with an ApopTag Plus Peroxidase in situ apoptosis kit (Chemicon) according to manufacturer’s instructions.
U937 monocyte transwell assays
U937 cells (ATCC) were cultured in the suggested medium 24 hours before priming. U937 monocytes were primed with 5nM PMA (Sigma) for 48 hours to become monocyte-derived macrophages as described55. Transwell assays assessing cell migration or invasion potential were performed on 24-well plate with inserts (BD Biosciences) according to manufacturer’s instruction. Briefly, 5×105 of primed U937 cells were cultured in the upper chamber and allowed to migrate or invade for 24–48 hours before fixation for crystal purple staining. Recombinant human POSTN protein was purchased from R&D Systems. Conditioned media (CM) were obtained by culturing T387 GSCs or NSTCs in RPMI/1640 media with 0.1% BSA for 24 hours and then used for the cell migration transwell assay.
Isolation of human monocytes from blood
Human monocytes were isolated by Ficoll-plaque plus (GE healthcare) centrifugation of human blood followed by the collection of monocytes attached to the plastic surface after 4 hours culture. Briefly, blood from donors were diluted in Hank’s buffer to a 1:1 solution. The blood solution was placed over half volume of Ficoll-plaque plus (GE healthcare) and centrifuged at 1,600rpm for 30 minutes. The middle layer of PBMCs were collected and cultured in RPMI/1640 medium supplemented with 10% FBS. 4 hours after culture, the floating cells were washed away with PBS. The adherent monocytes were trypsinized and subjected to migration or invasion assays. All studies related to human subjects were approved by the Institutional Review Board of the Cleveland Clinic. Informed consent was obtained from all subjects. For transwell assays, 5×104 human monocytes/macrophages were cultured in the upper chamber while recombinant POSTN protein (0.5 μg/ml) in RPMI/1640 media with 0.1% BSA was added in the lower chamber. Cells were allowed to migrate or invade for 24h and the migrated cells in the bottom of the well were fixed and stained.
Isolation of CD11b+ cells from GBM xenografts
Mouse brain tissues or GBM xenografts were digested with the Neural Tissue Dissociation Kit (Miltenyi Biotec) followed by MACS sorting with PE conjugated anti-CD11b antibody (Miltenyi Biotec, 130-091-240, 1:11) and anti-PE conjugated microbeads (Miltenyi Biotec). Briefly, mouse brains or tumors were washed with PBS, minced, and incubated with enzyme mixes. The dissociated brain tissue was passed through a 40μm cell strainer. Tissue was then re-suspended in a 30% Percoll (Santa Cruz) PBS solution and centrifuged at 700g for 10 minutes to remove myelin. Cells were re-suspended in 90μl IMAG buffer (PBS w/o Ca2+/Mg2+, supplemented with 0.5% BSA and 2mM EDTA, pH 7.2) plus 10μl anti-CD11b-PE (Miltenyi) and incubated on ice for 30 minutes. Cells were then washed three times with 1ml IMAG buffer and incubated with 20μl anti-PE microbeads (Miltenyi) plus 80μl IMAG buffer on ice for 15 minutes. After labeling, cells were washed, re-suspended in 500μl IMAG buffer, and applied to MS column (Miltenyi). After wash for 3 times, CD11b+ cells were flushed out of the column by plunger. CD11b+ cells were then cultured in RPMI/1640 medium supplemented with 10% FBS for 1 hour and used for co-injection or lysed for RNA extraction.
RGD peptide treatment in vivo
After manifestation of clear luciferase signals in IVIS imaging, mouse bearing GSC-derived xenografts were treated with RGD peptide (Peptides International, PCI-3661-PI) or control peptide (Peptides International, PCI-3883-PI) through intraperitoneal delivery. The peptides were dissolved in PBS at 5mg/ml and mice were continuously treated with control or RGD peptide at 25mg/kg for 5 days. 2 hours after the last injection, mice were sacrificed and brains were fixed in 4% PFA for analysis.
Isolation of mouse peritoneal macrophages
BALB/c mice of 6–8 weeks were stimulated by i.v. injection of 1 mL 3% Brewer thioglycollate medium into the peritoneal cavity. Inflammatory response was allowed for 4 days. Mice were then sacrificed and the peritoneal macrophages were harvested by washing the cavity with 1ml ice cold PBS.
shRNAs for knockdown
Lentiviral mediated shRNAs targeting POSTN (TRCN0000123055 for O55; TRCN0000123056 for O56, and TRCN0000123057 for O57) or control shRNA (SHC002) were purchased from Sigma-Aldrich.
RT-qPCR array of secreted proteins
To identify potential chemoattractants differentially expressed by GSCs, we used qPCR array (RT-qPCR analysis) to determine the expression of major secreted proteins, including most cytokines along with some secreted proteins relevant to tumorigenesis, in paired GSCs and NSTCs. qPCR primers were designed to span an intron of each target gene (Supplementary Table 1). Total mRNA was purified from paired GSCs and NSTCs with the RNeasy Mini Kit (74104, Qiagen). 500 ng mRNA was reverse transcribed into cDNA with SuperScript III Reverse Transcriptase (18080-044, Invitrogen). RT-qPCR assays were performed with SYBR Green PCR Master Mix (4310251, Applied Biosystems) on a 7900HT thermal cycler (Applied Biosystems). Three-step amplification was performed (95°C 15 sec, 60°C 15 sec, and 72°C 30 sec) for 45 cycles. For data analysis, GAPDH was used as the internal standard and fold changes of gene expression levels in GSCs relative to NSTCs were calculated. The target genes with a > 2 fold upregulation in GSCs were regarded as differentially expressed. RT-qPCR arrays were performed with 3 pairs of matched GSCs and NSTCs and repeated for three times. Average fold changes of target genes presented were from 3 representative experiments.
Primers for other qPCR analyses
mSTAB1-qF: ACGGGAAACTGCTTGATGTC
mSTAB1-qR: ACTCAGCGTCATGTTGTCCA
mLyve1-qF: CTGGCTGTTTGCTACGTGAA
mLyve1-qR: CATGAAACTTGCCTCGTGTG
mCcl17-qF: AGTGCTGCCTGGATTACTTCAAAG
mCcl17-qR: CTGGACAGTCAGAAACACGATGG
mIL12a-qF: GGAAGCACGGCAGCAGAATA
mIL12a-qR: AACTTGAGGGAGAAGTAGGAATGG
mIL1b-qF: GTGTGGATCCAAAGCAATAC
mIL1bqR: GTCTGCTCATTCATGACAAG
mGAPDH-qF: TGATGACATCAAGAAGGTGGTGAAG
mGAPDH-qR: TCCTTGGAGGCCATGTAGGCCAT
Statistical analysis
The level of significance was determined by a two-tailed un-paired Student’s t-test (bar graphs) or analysis of variance with α = 0.05 (survival curves) and analyzed with GraphPad Prism 5 software. All quantitative data presented are the mean ± s.e.m. from at least three samples or experiments per data point.
Repeatability of experiments
Representative transwell images and the corresponding statistical analyses (Figs. 6b–d, 6f, 6i, 6l, 6m, 6o, 7f; Supplementary Figs. 1a–b) are shown from three experiments. Immunofluorescent analyses (Figs. 2e–f, 4b–c, 4e–f, 4h–i, 4k, 5b–c, 5e–f, 5h–i, 7h; Supplementary Figs. 2e, 3b–c, 7b, 7c, 7e, 8b, 8d, 8f) are shown from three independent experiment using cryosections from 5 different xenografts. qPCR analyses (Figs. 5j; Supplementary Figs. 5d, 5e, 8g) are shown from three independent experiments. Immunofluorescent analyses of human primary GBMs (Figs. 1b; Supplementary Figs. 4e–g) are shown from 5 patients. Immunofluorescent analyses of human primary GBMs (Supplementary Figs. 6e, 6g, 6i) are shown from 3 patients.
Supplementary Material
Acknowledgments
We thank the Brain Tumor and Neuro-Oncology Centers at Cleveland Clinic and University Hospitals-Case Medical Center for providing GBM surgical specimens for this study. We are grateful to members in Dr. Rich’s laboratory for their assistance and scientific discussion. We also thank Cathy Shemo and Sage O’Bryant of the Flow Cytometry Core, Judith Drazba and Linda Vargo of the Imaging Core at Cleveland Clinic Lerner Research Institute, Dave Schumick of the Center for Medical Art and Photography for their assistance. This work was supported by the Cleveland Clinic Foundation and a NIH R01 grant (NS070315) to S. Bao.
Footnotes
AUTHOR CONTRIBUTIONS
W.Z. and S.B. designed the experiments, analyzed data and prepared the manuscript. W.Z., S.Q.K., Z.H., X.F., J.P. and L.W. performed the experiments. W.F. performed database analysis. A.E.S. and R.E.M. provided GBM surgical specimens. R.E.M. performed pathological analyses. J.N.R. and X.L. provided scientific inputs and helped to edit the manuscript.
The authors declare no competing financial interests.
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