It is well established that the tumor microenvironment influences cancer metastasis. Much about how the microenvironment contributes to therapeutic outcome in cancer cells is unknown. In this study, the authors provide insight into a novel mechanism by which tumors treated with chemotherapeutic drugs are protected from cell death. The authors used pharmacological inhibitors and gene knockouts to demonstrate that cathepsin proteases expressed by macrophages have a chemoprotective effect on tumor cells. Inhibition of cathepsins in combination with chemotherapy resulted in decreased survival of tumor cells. Thus, this paper demonstrates a novel paradigm of cancer treatment by impairing adaptive responses of the microenvironment.
Keywords: cancer, metastasis, chemotherapy, tumor microenvironment, proteolysis, paclitaxel
Abstract
The microenvironment is known to critically modulate tumor progression, yet its role in regulating treatment response is poorly understood. Here we found increased macrophage infiltration and cathepsin protease levels in mammary tumors following paclitaxel (Taxol) chemotherapy. Cathepsin-expressing macrophages protected against Taxol-induced tumor cell death in coculture, an effect fully reversed by cathepsin inhibition and mediated partially by cathepsins B and S. Macrophages were also found to protect against tumor cell death induced by additional chemotherapeutics, specifically etoposide and doxorubicin. Combining Taxol with cathepsin inhibition in vivo significantly enhanced efficacy against primary and metastatic tumors, supporting the therapeutic relevance of this effect. Additionally incorporating continuous low-dose cyclophosphamide dramatically impaired tumor growth and metastasis and improved survival. This study highlights the importance of integrated targeting of the tumor and its microenvironment and implicates macrophages and cathepsins in blunting chemotherapeutic response.
Solid tumors respond to conventional chemotherapy with many acute changes. In addition to the diverse consequences of massive tumor cell death, these alterations can include collapse of the vasculature and differences in blood flow patterns. Unfortunately, tumors frequently recover from these assaults and re-establish growth. We postulate that there are specific needs for stromal cells and microenvironment-supplied factors under these conditions to enhance tumor cell survival and effect revascularization and remodeling of the extracellular matrix, thus re-establishing a favorable environment for growth. Similar processes at work during different stages of tumor progression have been shown to require the trophic functions of tumor-associated macrophages (TAMs) (Joyce and Pollard 2009; Qian and Pollard 2010). We therefore reasoned that TAMs and their associated products are ideal candidate modulators of response to therapy. TAMs are abundant suppliers of growth factors, cytokines, and proteases, including cysteine cathepsin proteases, which we recently showed to be important for enhancing pancreatic tumor growth and invasion (Gocheva et al. 2010b). Cysteine cathepsins, or cathepsins as we refer to them here, are a family of 11 members in humans (B, C, H, F, K, L, O, S, L2/V, W, and X/Z), which collectively have important roles in lysosomal protein degradation and make specific individual contributions to pathological conditions, including pancreatitis and cardiomyopathies (Reiser et al. 2010). Here we identified increased levels of specific cathepsin family members in mammary tumors following Taxol treatment and investigated whether this macrophage-supplied activity was functionally relevant in modulating therapeutic response to Taxol and other chemotherapeutic agents.
Results
Taxol increases cathepsin activity in mammary tumors
To investigate the response of the tumor microenvironment to chemotherapy, we began by treating MMTV-PyMT (PyMT) tumor-bearing mice with maximum tolerated dose (MTD) paclitaxel (Taxol, 50 mg/kg), a chemotherapeutic commonly used in breast cancer treatment. PyMT mice develop multifocal lesions in their mammary glands that progress from hyperplastic lesions to intraepithelial neoplasias and adenocarcinomas in a typified manner and time course (Lin et al. 2003). In addition, PyMT mice develop lung metastases with high penetrance (Guy et al. 1992). We derived several cell lines from PyMT mammary tumors, including TS1-TGL (Supplemental Fig. S1), which was used for orthotopic implantations and cell-based assays. In both spontaneous and orthotopic models, tumors in Taxol-treated mice grew slower than those in vehicle-treated mice, with differences in tumor volume apparent within 3–7 d (Fig. 1A).
Surveying cathepsin protein levels during Taxol treatment, we found that whole-tumor lysates from Taxol- versus vehicle-treated mice had greater levels of cathepsins B, C, and L 7 d after treatment (Fig. 1B), while other cathepsins did not significantly change (Supplemental Fig. S2A). Quantitative RT–PCR (qRT–PCR) analysis of whole-tumor lysates showed increases in cathepsins B and S at the transcript level and a trend toward increased cathepsin L (Fig. 1C; Supplemental Fig. S2B).
These initial data indicated that Taxol treatment induced an up-regulation of cathepsins in tumors. However, as we examined whole-tumor lysates, this up-regulation could be intrinsic to a specific cell type (for example, tumor cells or macrophages) or due to an increase in proportions of high-cathepsin-expressing cells or both. To discriminate between these possibilities, we first determined whether Taxol directly induced an increase in cathepsin levels in cells by treating PyMT tumor cells in culture with Taxol. We did not find any significant changes in cathepsin expression in Taxol- versus DMSO-treated cells at 24 or 48 h post-treatment for any of the cathepsin family members expressed (Fig. 1D). To determine whether Taxol induces changes in cathepsin expression in macrophages, we generated primary bone marrow-derived macrophages (BMDMs) from wild-type mice and treated them with Taxol in culture. Again, no detectable increases in cathepsin expression were found for any of the cathepsins expressed by BMDMs at 24 or 48 h post-treatment (Fig. 1E). We also examined total cathepsin activity levels following Taxol treatment of the BMDMs, given that these cells expressed cathepsins at much higher levels than the tumor cells. BMDM cell lysates were labeled with the biotinylated cathepsin activity-based probe (ABP) DCG04 (Greenbaum et al. 2000), and we found no change in the levels of active cathepsins after Taxol treatment (Supplemental Fig. S2C). These data collectively showed that Taxol treatment results in elevated cathepsin expression and protein in whole tumors, but that this increase is unlikely to be due to a Taxol-mediated cell-intrinsic change in mRNA or activity levels.
Taxol induces an influx of TAMs
We showed previously that cathepsin activity in untreated PyMT tumors is derived predominantly from TAMs (Gocheva et al. 2010b), and therefore reasoned that cathepsin levels may be higher in Taxol-treated tumors due to increased TAM infiltration. Indeed, image analysis of tissues stained with the macrophage-specific antibody Iba1 (Kohler 2007; Pyonteck et al. 2011) revealed a notable increase in Taxol-treated tumors, with 53% more macrophages than their vehicle-treated counterparts (P < 0.0001) (Fig. 2A,B; Supplemental Fig. S3A–C), 7 d after treatment. A similar analysis of vehicle- and Taxol-treated tumors 24 h after treatment did not reveal any significant differences (Supplemental Fig. S3D), indicating that the response to Taxol occurs after this time point.
These data were corroborated by increased CD68 and CD45 transcript levels in whole-tumor lysates of Taxol-treated tumors as compared with vehicle-treated controls at the 7-d time point (Fig. 2C,D). The increased abundance of TAMs following Taxol treatment did not reflect a general increase in immune cell infiltrates, as costaining for Iba1 and CD45, a pan-leukocyte marker, and quantitation of stained populations revealed that the percentage of CD45+Iba1− cells (i.e., nonmacrophage leukocytes) actually trended toward a decrease in Taxol- versus vehicle-treated tumors (Fig. 2E). Thus, increased macrophage infiltration following Taxol is apparently cell-type-specific, rather than due to a general elevation in all infiltrating immune cells. To confirm that macrophages remained the primary source of cathepsin activity after Taxol treatment, we injected Taxol-treated mice with a fluorescent cathepsin ABP as previously described (Gocheva et al. 2010b) and imaged the tumor tissue. We found, as in vehicle-treated tumors, that the majority of cathepsin activity after Taxol treatment was provided by Iba1+ TAMs (Fig. 2F).
Finally, we examined matched breast cancer patient samples before and after neoadjuvant chemotherapy to determine whether there were similar increases in macrophage numbers. Indeed, we found that in the majority of cases, there was a striking accumulation of macrophages in tumor tissue following chemotherapy compared with those same tumors before treatment (Fig. 2G; patient information summarized in Supplemental Table S1). Costaining with anti-cathepsin antibodies and the anti-CD68 macrophage antibody using multicolor immunohistochemistry revealed a colocalization between cathepsin B or S and CD68 in these samples, confirming that macrophages in these tissues also abundantly expressed these proteases (Supplemental Fig. S4).
Macrophage-derived cathepsins prevent Taxol-induced tumor cell death
We next asked whether there are any functional consequences of the increase in macrophage infiltration following Taxol and specifically addressed whether macrophages can modulate Taxol-induced tumor cell death. We established an in vitro coculture assay (Fig. 3A) in which the labeled TS1-TGL PyMT cell line (Supplemental Fig. S1) was cultured with syngeneic BMDMs and the coculture was treated with Taxol 24 h later. Cell death was assayed by flow cytometry 48 h following treatment. Tumor cells and macrophages were gated using specific markers, and an Annexin V (AnnV)–DAPI protocol was used to identify AnnV+DAPI−, AnnV+DAPI+, and total dead cells (DAPI+) (Supplemental Fig. S5A).
We were intrigued to discover that BMDMs had a potent protective effect on tumor cell death in response to Taxol. While Taxol induced a 3.2-fold increase in death in tumor cells cultured alone (P = 0.0001) (Fig. 3B), tumor cells in coculture with BMDMs had substantially lower death rates (42% decrease compared with treated monocultures) (P = 0.0041) (Fig. 3B). Taxol did not increase death rates in these differentiated macrophages during the course of these experiments (data not shown).
We then sought to determine whether macrophage-derived cathepsins participate in the protective effect conferred by these cells in vitro. JPM-OEt (JPM), a pan-cathepsin inhibitor that inhibits active cysteine cathepsins by binding irreversibly to the catalytic site (Bogyo et al. 2000), was introduced into the coculture system (Fig. 3B). JPM treatment did not influence death of tumor cells or macrophages in monocultures, either alone or in combination with Taxol treatment (Fig. 3; data not shown). However, in the coculture system, cathepsin inhibition completely abrogated the macrophage-conferred protection (P = 0.017) (Fig. 3B).
To investigate the broader relevance of these macrophage-protective effects to cell lines other than TS1, we examined a panel of mouse breast cancer cell lines. These included TS2, which was derived from another PyMT primary tumor in our laboratory (Supplemental Fig. S1); Met-1, which was derived from a PyMT lung metastatic lesion (also in the FVB/n background) (Borowsky et al. 2005); and AT-3, a cell line derived from a PyMT primary tumor in the C57BL/6 background (Stewart and Abrams 2007). Macrophages also protected against Taxol-induced death in all cell lines tested (P < 0.05 to P < 0.01 for each line compared with Taxol alone) (Fig. 3C), an effect that was significantly abrogated by JPM addition, albeit to different extents (P < 0.05 to P < 0.01) (Fig. 3C).
We next asked whether this protective effect could be attributed to individual cathepsin family members. We modified our coculture assay to include BMDMs derived from Cathepsin B (CtsB)-, CtsC-, CtsL-, or CtsS-null mice, as these family members were up-regulated at the mRNA and/or protein level following Taxol (Fig. 1). We first determined that deficiency for any of these cathepsins did not affect macrophage differentiation in response to colony-stimulating factor-1 (Csf-1) in the derivation protocol (Supplemental Fig. S6A) or impair bead phagocytosis (Supplemental Fig. S6B). Substituting these cells into our assay, we found that while wild-type macrophages consistently protected TS1 tumor cells from Taxol-induced death, macrophages null for CtsB or CtsS were significantly impaired in this ability (P = 0.0448 and P = 0.0370, respectively) (Fig. 3D). Macrophages null for CtsC or CtsL, however, still conferred full protection (Fig. 3D), showing that not all macrophage-derived cathepsins participate in this process. The loss of protection observed with individual CtsB or CtsS deletion was not as profound as with JPM treatment, indicating that additional cathepsins are also important for this effect.
Finally, we asked whether the protective effect was dependent on direct contacts between tumor cells and macrophages. To this end, we treated tumor cells and assayed for cell death as before, but substituted BMDM-conditioned medium (CM) for direct BMDM coculture (Supplemental Fig. S5B). Interestingly, we found that BMDM-CM recapitulated the protective effect against Taxol-induced tumor cell death (P < 0.0001) (Fig. 3E), and the magnitude of protection was similar to that achieved with BMDM coculture. CM from another stromal cell type, a cancer-associated fibroblast (CAF) cell line we derived as reported previously (Abboud-Jarrous et al. 2008), did not affect Taxol-induced cell death, indicating the specificity of this protection by macrophages (Fig. 3E). Addition of JPM to the BMDM-CM abrogated the protective effect (P = 0.0001) (Fig. 3E), as we found in the coculture experiments. We verified that JPM completely inhibited cathepsin activity in these experiments (Supplemental Fig. S5C), and used cleaved caspase 3 Westerns as an additional assay of cell death to confirm the flow cytometry results (Supplemental Fig. S5D). From these experiments, we conclude that macrophage-conferred protection against Taxol-induced cell death is largely mediated by secreted factors in a cathepsin-dependent manner.
Cathepsin inhibition sensitizes mammary tumors to chemotherapy
We next decided to test the hypothesis that the Taxol-induced increases in TAMs, and specifically the cathepsin activity provided by these macrophages, might influence treatment response in vivo. We designed a regression trial in which we treated transgenic PyMT tumor-bearing mice with MTD Taxol on days 0 and 17 of a 5-wk trial and twice daily with the cathepsin inhibitor JPM at 100 mg/kg per day (Fig. 4A). We initiated treatment when mice reached 9 wk of age, a time at which they typically harbor small but established mammary carcinomas. Four treatment groups were initially examined (Vehicle, Taxol, JPM, and Taxol+JPM).
As expected, Taxol monotherapy produced moderate anti-tumor effects, most evident in the week after each dose was administered (P < 0.01, area-under-the curve [AUC] comparison with vehicle) (Fig. 4B). JPM treatment did not significantly affect tumor growth (Fig. 4B), despite the abundant cathepsin activity we observed in tumors, the reduction in PyMT tumorigenesis observed when cathepsins B and Z are deleted (Sevenich et al. 2010), and the efficacy of this compound in other tumor models (Joyce et al. 2004). We confirmed that JPM inhibits cathepsin activity in the PyMT tumors using the cathepsin ABP DCG04 (P = 0.0016) (Supplemental Fig. S7). This result is somewhat different from a PyMT trial reported by Schurigt et al. (2008), in which there was no significant effect of JPM administration on cathepsin inhibition in the treated tumors. However, the JPM dosing regimen in their study (100 mg/kg per day) involved once-daily administration, compared with twice-daily dosing in the trials herein, which likely accounts for the fact that we observe sustained cathepsin inhibition under these conditions.
Concurrent administration of JPM and Taxol, however, did reveal effects upon combination (Fig. 4B). The addition of JPM slowed tumor growth compared with Taxol treatment alone (P < 0.05, AUC comparison) (Fig. 4B). In addition to twice-weekly external measurements of tumor volume, tumors were measured upon excision at the end of the trial (Fig. 4E), revealing a significant 58% decrease in tumor volume in the Taxol+JPM group (P < 0.01 compared with vehicle). Tumors in Taxol+JPM-treated mice were significantly smaller (P < 0.05) than those treated with Taxol alone, indicating a specific advantage of cathepsin inhibition in this context. This combinatorial effect in vivo corroborated the protective effects of macrophage-derived cathepsins on Taxol-induced cell death we observed in the culture assays and prompted us to investigate whether we could further improve therapeutic efficacy by including additional treatment modalities.
Low-dose cyclophosphamide (Cyclo) further enhances anti-tumor efficacy
With the broader goal of simultaneously using multiple anti-tumor therapeutics to further improve efficacy, we added continuous low-dose (CLD) Cyclo to our combination trials. This form of dosing, also termed “metronomic,” was devised to achieve better therapeutic efficacy by providing continuous drug exposure with limited toxicity. This dosing regimen has also shown efficacy in clinical trials for patients with metastatic breast cancer (Sanchez-Munoz et al. 2008). CLD Cyclo has additionally been shown to target the tumor vasculature via direct and indirect effects (Kerbel and Kamen 2004). Cyclo was administered at a low dose (10 mg/kg per day) continuously via the drinking water (Fig. 4A), an established route for this drug (Man et al. 2002), and four new groups were added to the trial: Cyclo, Cyclo+JPM, MTD Taxol and CLD Cyclo (Taxol+Cyclo), and Triple (receiving all three drugs).
CLD Cyclo alone had a modest effect on tumor growth (P < 0.05, AUC compared with vehicle) (Fig. 4C). Addition of cathepsin inhibition to CLD Cyclo did not enhance efficacy (Fig. 4C), in contrast to the effect of adding JPM to MTD Taxol (Fig. 4B). As CLD Cyclo has been reported to have multiple potential anti-tumor mechanisms, including anti-angiogenic effects and inducing tumor cell apoptosis (Pietras and Hanahan 2005; Bell-McGuinn et al. 2007; Blansfield et al. 2008), we investigated both processes in these treated tumors. We found that there was no significant effect on vessel number, length, density, or functionality, as assessed by lectin perfusion, in the CLD Cyclo-treated tumors compared with vehicle at end stage (Supplemental Fig. S8A–D). Analysis of apoptosis by cleaved caspase-3 staining, however, revealed a threefold increase in cell death in the CLD Cyclo group (P < 0.05) (Supplemental Fig. S8E). Costaining with either tumor cell (EpCAM) or endothelial cell (CD34) markers showed that the vast majority of apoptotic cells were tumor cells (Supplemental Fig. S8F). This indicates that increased tumor cell death, through either direct or indirect mechanisms, is the process by which CLD Cyclo slows tumor growth in this model.
Taxol+Cyclo treatments combined to produce smaller tumors than vehicle-treated controls (P < 0.0001, AUC comparison) (Fig. 4D). When we added JPM to treat mice with all three drugs together (Triple), we found that cathepsin inhibition enhanced the chemotherapy combination (P < 0.05 compared with Taxol+Cyclo; AUC comparison) (Fig. 4D). Measurements of tumors excised at the end of the trial showed significant tumor volume reductions compared with vehicle controls in the following groups: Cyclo (36%, P < 0.05), Taxol+Cyclo (63%, P < 0.0001), and Triple (86%, P < 0.0001) (Fig. 4E). In addition, tumor volumes in the Triple treatment group were significantly reduced compared with the Taxol+Cyclo group (61% reduction, P < 0.01) (Fig. 4E), reflecting a clear benefit of JPM addition. Overall, we found that the most effective treatments were the ones incorporating MTD Taxol and that Taxol monotherapy was substantially improved on by the addition of cathepsin inhibition and CLD Cyclo. At the end of the trial, the Triple combination group had 80% smaller tumors when compared directly with the Taxol monotherapy group (P < 0.0001), a dramatic improvement. Statistical results for all 5-wk trials are summarized in Supplemental Table S2.
One striking observation was that in addition to reducing mean tumor volumes, the combination treatment groups also showed reduced variance in tumor volumes, compared with the vehicle and monotherapy groups. Thus, with the incremental addition of drugs with different targets and mechanisms of action, we achieved increasingly consistent anti-tumor responses rather than additively variable responses. Such effects are difficult to achieve with conventional chemotherapy (Yang et al. 2010) and may represent a reduced propensity for the development of acquired chemoresistance when the microenvironment is concurrently targeted.
Combination therapy reduces lung metastatic burden
We next sought to determine whether secondary metastatic growth in the lung was also impaired by the different treatments. We analyzed serial histological sections from lungs harvested at the end of the trial and measured the total lung metastatic burden in each mouse (Fig. 5A). We found that neither JPM nor Taxol monotherapy significantly reduced median metastatic burden, whereas the combination treatments had a substantial impact, especially Taxol+JPM (60% mean reduction, P < 0.05) and the Triple treatment (73%, P < 0.01), compared with vehicle (Fig. 5A). Statistical results for the lung metastasis analyses are summarized in Supplemental Table S3. Collectively, these data demonstrate that the Triple and Taxol+JPM treatment regimens were highly effective at reducing total lung metastatic burden, likely via effects on incidence (P < 0.05) (Fig. 5B) and outgrowth of metastatic lesions (P < 0.05) (Fig. 5C), respectively.
Addition of cathepsin inhibition improves late-stage survival
We next asked whether these combination treatments could also improve survival and designed a long-term study modeled on the original trial, continuing to treat mice every 2.5 wk with MTD Taxol and continuously with CLD Cyclo and JPM (Fig. 5D). Analysis of the full long-term survival curves revealed that all four Taxol-receiving groups had prolonged survival compared with vehicle- and JPM-receiving groups (Fig. 5E). Both Taxol and Taxol+JPM groups had a median survival of 70 d after treatment initiation, compared with 52 d for vehicle controls (P = 0.001 and P = 0.02, respectively). Taxol+Cyclo treatment and Triple treatment increased median survival to 79 and 83 d, respectively (P < 0.0001 for both). Again, we found that the addition of CLD Cyclo and JPM to Taxol treatment significantly improved long-term survival (P < 0.0001, Triple vs. Taxol). Unfortunately, no long-term remissions were observed in this study, and even Triple-treated mice eventually succumbed to their neoplastic disease. As this study was designed as a regression trial, treating mice with already established carcinomas and micrometastases if not macrometastases, we speculate that these combination therapies may yield even better outcomes if begun at an earlier stage of disease or if used in the neoadjuvant setting with subsequent surgical resection of primary tumors. This idea is supported by the observation that combination treatments did initially shrink tumors, rather than simply having a cytostatic effect (Fig. 4).
The complexity of the survival curves and the apparent difference in death rates early versus later in the trial led us to examine these separately. We first truncated the data at 70 d to focus on early effects of treatment, which were similar to the full survival curves (all statistical results from survival analyses are presented in Supplemental Table S4). To consider survival differences later in the course of treatment, we truncated the data to include only mice alive on day 70 and analyzed their survival from this point forward. In this analysis, we found that the Taxol+JPM group fared better than mice receiving Taxol alone (P < 0.05) (Fig. 5E). Thus, long-term treatment with combination therapies substantially enhances survival.
Macrophage coculture protects tumor cells from death induced by additional chemotherapeutic drugs
Having identified a chemoprotective role for macrophages in Taxol-treated tumor cells (Fig. 3), we sought to determine how broadly applicable this finding was. The TS1 tumor cell line was treated with a panel of different drugs with distinct mechanisms of action: etoposide (inhibitor of topoisomerase II activity), doxorubicin (DNA intercalator), gemcitabine (nucleoside analog), and carboplatin (DNA-alkylating agent). We found that tumor cell death following etoposide or doxorubicin treatment was reduced by macrophage coculture (P = 0.0076 and P = 0.0005, respectively) (Fig. 6A). This protective effect was completely reversed by JPM addition in the case of etoposide-treated cells (P = 0.0064) (Fig. 6A) and significantly abrogated in doxorubicin-treated cells (P = 0.0049) (Fig. 6A). In contrast, there was no protection conferred against gemcitabine- or carboplatin-induced death in the TS1 cell line or any effect of JPM in combination with these drugs (Fig. 6A).
To determine whether the chemoprotective effects were similarly mediated by macrophage-secreted factors, we performed the CM experiments for each drug, as for Taxol above (Fig. 3E). BMDM-CM conferred protection against etoposide- and doxorubicin-induced cell death in TS1 cells (P = 0.0002 and P < 0.0001, respectively) (Fig. 6B), which was significantly abrogated by JPM addition (P = 0.0010 and P = 0.0023, respectively). As in the coculture experiments, there was no effect of BMDM-CM on gemcitabine- or carboplatin-induced apoptosis. Interestingly, while the CAF-CM had no effect on etoposide-, gemcitabine-, or carboplatin-induced cell death, it significantly decreased doxorubicin-induced death (P = 0.0006) (Fig. 6B).
We next investigated whether additional tumor cell lines responded similarly and examined the effects of doxorubicin and etoposide on tumor cell death in the presence or absence of macrophage coculture with the TS2, AT-3, and Met-1 cells as above. In all cell lines, and for both drugs, we again observed a significant protective effect when macrophages were included in the coculture (P < 0.05 to P < 0.01) (Supplemental Fig. S9A–C). The extent to which the protective effect was cathepsin-dependent varied depending on the cell line and the drug used. For the TS2 and Met-1 lines, there was a significant reduction in macrophage protection from etoposide following JPM addition (P = 0.0037 and P = 0.0177, respectively) (Supplemental Fig. S9A,B). In contrast to the TS1 line, however (Fig. 3), addition of JPM to these three cell lines did not significantly abrogate the protective effect conferred by macrophages following doxorubicin treatment. Collectively, these experiments show that macrophages confer protection against specific chemotherapies (Taxol, etoposide, and doxorubicin) through cathepsin-dependent and/or cathepsin-independent mechanisms, depending on the particular tumor cell line and drug investigated.
Given that macrophage coculture protected all examined tumor cell lines from etoposide-induced death in a cathepsin-dependent manner, we next asked whether cathepsin inhibition would similarly improve etoposide efficacy in vivo, as we had found for Taxol. We treated mice bearing orthotopic TS1-PyMT tumors with etoposide or vehicle and compared the effects of adding JPM treatment to these two groups. JPM treatment alone had no effect on tumor burden in this trial, consistent with our results in the PyMT transgenic model. However, the addition of JPM to etoposide resulted in a significant decrease in the end-stage tumor volume compared with etoposide alone (P = 0.0297) (Fig. 6C). The etoposide/JPM combination treatment also significantly reduced tumor growth compared with the vehicle-treated group on day 14 (endpoint for the vehicle- and JPM-treated mice due to tumor burden limits) (P = 0.0292) (Fig. 6C).
We were also interested in determining how patient-derived cancer cells would respond to cathepsin inhibition in combination with chemotherapy and thus used a xenograft orthotopic implantation model of the MDA-MB-231 breast cancer cell line (Cailleau et al. 1974). Of note, JPM has been previously shown to inhibit both human and mouse cathepsins (Bogyo et al. 2000; Joyce et al. 2004). In this trial, Taxol monotherapy reduced tumor growth compared with either the vehicle- or JPM-alone groups (P = 0.0247, P = 0.0114, respectively) (Fig. 6D). This effect was significantly enhanced by the addition of JPM (P = 0.0204 compared with Taxol, and P = 0.0005 compared with vehicle) (Fig. 6D), demonstrating the synergy between these drugs in a model of human breast cancer. Collectively, these experiments showed that cathepsin inhibition significantly enhanced the efficacy of different therapeutics in coculture and in vivo, an effect we attribute at least in part to the chemoprotective effects of macrophage-supplied cathepsins.
Discussion
Here we identified a novel adaptive response to chemotherapy wherein macrophages are recruited following cytotoxic chemotherapy and aid in tumor recovery. A similar paradigm for CD11b+ myeloid cells was recently reported in the context of radiotherapy, suggesting broader relevance of this phenomenon (Ahn et al. 2010; Kozin et al. 2010). Whereas several studies have investigated roles for macrophages in amplifying cytotoxic effects of chemotherapy (Nardin et al. 2006; Locher et al. 2010), we found paradoxically that cathepsin-high macrophages are potent suppressors of Taxol-induced tumor cell death, a novel function for them in this context. Interestingly, Taxol has previously been shown to induce mobilization of endothelial progenitor cells from the bone marrow, which are recruited to tumors to aid in revascularization (Shaked et al. 2008). A recent study also reported that paclitaxel induced CSF1-dependent macrophage recruitment and, consequently, that the addition of CSF1R inhibition to paclitaxel significantly enhanced therapeutic efficacy (DeNardo et al. 2011). Therefore, in addition to pleiotropic effects on tumor cells, there is accumulating evidence that Taxol and other chemotherapies alter the tumor microenvironment, as we describe here for breast cancer.
Interestingly, the chemoprotective effects we identified herein for macrophages extend to multiple chemotherapies with different mechanisms of tumor cell killing, yet there is some selectivity to this phenomenon, as not all drugs tested were susceptible to chemoprotection. Chemoprotective effects were identified for Taxol, etoposide, and doxorubicin, which kill tumor cells following microtubule stabilization, inhibition of topoisomerase activity, or DNA intercalation, respectively. These results suggest that macrophages provide survival signals to tumor cells in a cathepsin-dependent manner, which abrogates tumor cell death induced by a variety of different stimuli. Inhibition of cathepsin activity in BMDM-CM at the time of treatment is sufficient to abrogate protection, which strongly points to cathepsins as the macrophage-secreted factors mediating the chemoprotective effect. The identification of the downstream survival signaling pathway(s) is an area of active, ongoing investigation.
Macrophages are clearly emerging as central players in many tumor microenvironments, and cysteine cathepsins are emerging as major effectors of macrophage function in tumors. As such, there is significant potential for targeting macrophages and cathepsins in the treatment of cancer. Cysteine cathepsins are especially attractive targets for a number of reasons. First, they have well-defined catalytic mechanisms against which many inhibitors have been developed (Palermo and Joyce 2008). Second, their activity is increased in many cancers, and more specifically, cathepsins are frequently translocated from their intracellular and lysosomal locations to the cell surface and/or secreted into the extracellular milieu in tumors (Mohamed and Sloane 2006). This provides a unique therapeutic opportunity where inhibitors with limited intracellular penetration can specifically target cathepsins in the tumor microenvironment. Finally, targeting macrophage-supplied factors, such as cathepsins, rather than ablating the cells themselves, could represent a more attractive therapeutic strategy, as macrophages are also important for phagocytosis of dead cells, and therefore depleting all macrophage subtypes in combination with cytotoxic therapies may not be desirable.
In conclusion, we showed here that therapeutic interventions can profoundly change the tumor microenvironment and that these alterations can in turn influence the ultimate efficacy of treatment. We found that high-dose Taxol treatment increases TAMs in PyMT mice and that macrophage numbers in tumors also increase following chemotherapy treatments in breast cancer patients. These macrophages can in turn act to protect tumor cells from cell death induced by a range of different chemotherapeutic drugs, a cathepsin-dependent function we elucidated through coculture experiments. Cathepsin inhibition during Taxol- or etoposide-based treatment improved anti-tumor efficacy in vivo, demonstrating that simultaneous targeting of microenvironmental-adaptive responses can produce better outcomes and yield more consistent results than conventional chemotherapy, further strengthening the rationale for moving forward with these treatment paradigms in the clinic.
Materials and methods
Animals and cell lines
All mice were housed according to institutional standards of the Research Animal Resource Center at Memorial Sloan-Kettering Cancer Center (MSKCC). PyMT mice were obtained from K. Podsypanina and H. Varmus and have been previously described (Guy et al. 1992; Lin et al. 2003). Cathepsin B−/− (Halangk et al. 2000) and Cathepsin L−/− (Roth et al. 2000) mice in the FVB/n background were obtained from T. Reinheckel. Cathepsin C−/− (Pham and Ley 1999) and Cathepsin S−/− (Shi et al. 1999) mice were obtained in the BL/6 background from C. Pham and H. Chapman, respectively, and were backcrossed for >10 generations into a pure FVB/n background by V. Gocheva in the Joyce laboratory. Wild-type FVB/n, Athy/Nu, or C57BL/6 animals were purchased from Charles River Laboratories and also bred within our animal facility.
Mice were anesthetized with Avertin and perfused with saline, and tissues were post-fixed in 10% formalin for an hour before sucrose incubation overnight and OCT (Tissue-Tek) embedding for frozen sectioning. For paraffin embedding, formalin-fixed tissues were processed through an ethanol series into paraffin and embedded. The TS1-TGL cell line was derived from a PyMT mammary tumor, labeled with a triple-imaging TGL vector (Ponomarev et al. 2004), and sorted twice for GFP expression and EpCAM (BioLegend) positivity on a BD FACS Aria. The TS2 cell line was similarly generated in our laboratory from a PyMT primary tumor. Additional tumor cell lines used included Met-1, which was derived from a PyMT lung metastatic lesion (also in the FVB/n background) (Borowsky et al. 2005); AT-3, a cell line derived from a PyMT primary tumor in the C57BL/6 background (Stewart and Abrams 2007); and the MDA-MB-231 cell line (Cailleau et al. 1974). The CAF cell line used for CM experiments was isolated as previously described (Abboud-Jarrous et al. 2008). For orthotopic implantations, both syngeneic and xenograft, 5 × 105 cells were implanted 1:1 in Matrigel (BD, growth factor-reduced) into the fourth mammary fat pads of wild-type FVB/n or Athy/Nu mice aged 6–9 wk.
BMDMs
Femurs and tibiae from either FVB/n or C57BL/6 mice were harvested under sterile conditions from both legs and flushed using a 25-gauge needle. The marrow was passed through a 40-μm strainer and cultured in 30-mL Teflon bags (PermaLife) with 10 ng/mL recombinant mouse Csf-1 (R&D Systems). Bone marrow cells were cultured in Teflon bags for 7 d, with fresh Csf-1-containing medium replacing old medium every other day to induce macrophage differentiation.
In vitro drug treatments
For Taxol treatment, cells were treated with 50 nM Taxol (dissolved in medium) or an equivalent amount of DMSO for controls (5 × 10−4%). For cathepsin inhibition, 10 μM JPM-OEt was used, with an equivalent amount of DMSO used for controls (0.01%). Cells were treated with doxorubicin, etoposide, carboplatin and gemcitabine at concentrations of 300 nM, 20 μM, 50 μM, and 400 nM, respectively. The highest concentration of DMSO (0.08%) was used as a vehicle control for the panel of chemotherapies.
Coculture experiments
Tumor cells and differentiated macrophages were mixed at a 1:1 cell ratio, 200,000 per each cell type, in medium (DME + 10% FBS) and plated onto 12-well plates 24 h prior to treatment. Met-1 and AT-3 cells had a significantly increased proliferative rate compared with TS1 or TS2 cell lines and were plated at a density of 100,000 per well. Tumor cells and macrophages were matched for genetic background; FVB/n BMDMs were used for the TS1, TS2, and Met-1 cell lines, while C57BL/6 BMDMs were used for the AT-3 cell coculture. At the time of treatment, medium was replaced with fresh medium containing Taxol (or other cytotoxic agent) or equivalent DMSO. For experiments involving cathepsin inhibition, JPM was added at the same time as the other agents to the appropriate samples. Forty-eight hours following treatment, cocultures were trypsinized, and all media were collected throughout the experiment to prevent loss of dead cells. Samples were then washed once with FACS buffer (1% BSA in PBS), followed by Fc block for 15 min at 4°C and antibody labeling for 15 min at 4°C. Antibodies used for cell type identification were EpCAM-PE/Cy7 (1:500; BioLegend) and F4/80-PE (1:50; Serotec). Samples were then washed in 1× Annexin V-binding buffer (AVBB; 0.1 M HEPES at pH 7.4, 1.4 M NaCl, 25 mM CaCl2) and labeled for 10 min at room temperature with 1.5 μL of Annexin V-APC (BD Biosciences) in 50 μL of AVBB. Fifty microliters of AVBB with 1 μg/mL DAPI (Invitrogen) was then added to each sample, followed by acquisition on an LSR II flow cytometer (BD).
CM experiments
Experiments with CM were conducted as for the coculture experiments, with CM used in place of macrophages throughout the course of the experiment. Medium that had been conditioned for 24 h by wild-type BMDMs or CAFs was passed through 0.22-μm filters to remove cellular debris and then added 1:1 with fresh medium to tumor cell monocultures. Controls received fresh medium containing 10% serum. Where JPM was used, it was added to tumor cell cultures following the same timeline as for the coculture experiments.
Bead phagocytosis assay
BMDMs were labeled with CellTracker Green CMFDA (Invitrogen) and seeded on coverslips 24 h before treatment with either 50 nM Taxol or DMSO control. FluoSpheres, 1-μm red fluorescent (580/605) carboylate modified microspheres (Invitrogen), were coated overnight in PBS containing 1% (w/v) BSA. Twenty-four hours after treatment, microspheres were added at 50× excess and incubated for 1 h at 37°C or 4°C. Cells were then washed four times with PBS, and the coverslips were mounted on slides for analysis. Images were visualized under an Axio Imager M1 microscope and acquired using Volocity image acquisition software.
Cathepsin ABP imaging
Mice were injected with 150 μL of a 200 μM Cy3b-conjugated cathepsin ABP (Greenbaum et al. 2000; Gocheva et al. 2010b) (synthesized by the Organic Synthesis Facility at MSKCC) intravenously via the tail vein. The probe was allowed to circulate for 1 h before mice were sacrificed, and tissues were processed as previously described (Gocheva et al. 2010b).
In vivo dosing of drugs
MTD of Taxol via intraperitoneal (i.p.) injection has been previously determined (Sharma and Straubinger 1994). Accordingly, Taxol (Sigma) was administered i.p. at 50 mg/kg per dose and dissolved in a 1:1:2 cremophor EL:ethanol:PBS solution (Taxol stock maintained in 1:1 cromophor EL:ethanol, then mixed fresh 1:1 with PBS prior to injection) on day 0 and day 17 for the 5-wk trials, and every 2.5 wk for the long-term trial. Cyclo (Sigma) was reconstituted to a 20 mg/mL stock solution in water, 660 μL of which was added to 200 mL of water to place in drinking containers in mouse cages, for a final average dose of 10 mg/kg. This dosing is based on an average daily water consumption of 1.5 mL of water per 10 g of body weight per day for mice and has been previously optimized (Man et al. 2002). Fresh Cyclo-containing water was provided to the mice twice weekly. The broad-spectrum cathepsin inhibitor JPM-OEt was synthesized by the MSKCC Organic Synthesis Facility, prepared in a 25% DMSO solution, and administered twice daily i.p. for a final dose of 100 mg/kg per day. Vehicle controls in the combination drug trial received equivalent volumes of 1:1:2 cremophor EL:ethanol:PBS solution alone on day 0 and day 17 for the 5-wk trials or every 2.5 wk for the long-term study, as well as 25% DMSO twice daily in volumes equivalent to JPM dosing. Etoposide was purchased as a 20 mg/mL injection solution (TOPOSAR, Teva) and diluted 1:10 in 0.9% sterile saline solution before being administered i.p. at a dose of 10 mg/kg. The etoposide injection solution vehicle consisted of 2 mg/mL citric acid anhydrous, 80 mg/mL polysorbate 80, 650 mg/mL polyethylene glycol 300, and 33.2% (w/v) dehydrated alcohol (pH 3.0–4.0).
MMTV-PyMT mice were treated as follows: for Figure 1: from 9–10 wk of age, following one dose of Taxol or vehicle; and for Figures 4 and 5: 9–14 wk of age in the regression trial, and from 9 wk onward in the long-term survival studies, as described in the figure legends. Orthopically implanted mice were treated as follows: For Figure 1, FVB/n mice orthopically implanted with TS1 cells were treated when tumors reached a total volume of 500 mm3 with a single injection of Taxol (50 mg/kg) or vehicle, and sacrificed 1 wk later. For Figure 6C, mice were treated with 10 mg/kg etoposide on days 0, 7, and 14. Etoposide vehicle control was diluted, injected, and dosed in the same manner as the drug arm of the trial. JPM and the equivalent control were administered as described above. For Figure 6D, Athy/Nu mice orthotopically implanted with MDA-MB-231 cells were treated when tumors reached a total volume of 500 mm3 at a determined Taxol MTD of 25 mg/kg. Taxol and vehicle controls were administered on days 0 and 7 as described above.
Combination drug trials
In all trials, external tumor measurements were made using precision calipers, and tumor volumes (TV) were calculated according to the following formula: TV = (a)(b2) × π/6 (a = longest dimension, and b = largest dimensional orthogonal to a).
Mice were randomized to treatment groups based on their starting tumor burden at 9 wk of age to ensure equivalent distribution among the different groups. At trial endpoints, mice were sacrificed, and tumors were measured again after excision and then processed for further analysis. Mice in the long-term study were monitored twice daily (in conjunction with JPM/vehicle injections). Endpoints for this study were defined as an individual tumor volume >3 cm3, a total tumor volume deemed unacceptably burdensome by the animal facility veterinarians, the presence of ulcerated tumors, or signs of obvious distress.
To assess systemic toxicities in the different treatment groups, one to two mice from each group in the 5-wk trial were submitted to the Comparative Pathology Core Facility at MSKCC. Gross evaluations as well as microscopic and biochemical evaluations of blood, liver, intestine, kidney, skin, and long bones were conducted. Other than occasional gastrointestinal edema and frequent evidence of extramedullary hematopoiesis, found in all groups, their reports found no evidence of drug-related toxicities. In addition, both JPM and low-dose Cyclo have previously been found to be safe, with limited side effects (Emmenegger et al. 2004; Joyce et al. 2004).
Lung metastasis analysis
Paraffin-embedded left lung lobes for each mouse to be analyzed were serially sectioned, and every 10th slide was stained with hematoxylin and eosin for subsequent blinded analyses. On each slide, metastases were counted and areas were measured for all metastases and for the total lung section. Total lung metastasis burden for each mouse was calculated as the percentage of total lung area analyzed for each mouse that was covered by metastases. Metastasis incidence was calculated as the number of metastases counted in each mouse, normalized to total lung area analyzed per mouse. Average metastasis size was calculated by dividing the total metastasis area calculated for each mouse by the number of metastases discovered in that mouse. All lung metastasis measurements were made using Volocity imaging software.
Protein isolation, labeling, and Western blotting
Samples were lysed in lysis buffer (5 mM Na-acetate at pH 5.5, 1 mM EDTA, 2 mM DTT, 0.1% Triton X-100), and protein was quantified using the BCA assay (Pierce). Protein lysates were loaded (20 μg per lane) onto SDS-PAGE gels and transferred to PVDF membranes for immunoblotting. Membranes were probed with antibodies against Cathepsin B (1:2000), Cathepsin C (1:1000), Cathepsin H (1:1000), Cathepsin L (1:1000), Cathepsin S (1:1000), and Cathepsin X/Z (1:1000) (all from R&D Systems); actin (1:5000; Sigma); cleaved caspase 3 (1:500; Cell Signaling); or GAPDH (1:1000; Cell Signaling) and detected using HRP-conjugated anti-goat or anti-rabbit (Jackson Immunoresearch) antibodies using chemiluminescence detection (Amersham). Bands from Western blots were quantified in the dynamic range using the Gel Analysis module in ImageJ software.
RNA isolation and qRT–PCR
RNA was prepared from samples using TRIzol reagent (Invitrogen) and subsequently DNase-treated. One microgram of RNA was used in cDNA synthesis reactions using the SuperScript III First-Strand system (Invitrogen). Real-time qRT–PCR was performed on cDNA samples using the ABI 7900HT Fast Real-Time PCR system. Primers for cathepsin B (Mm00514439_m1), cathepsin C (Mm00515580_m1), cathepsin F (Mm00490782_m1), cathepsin H (Mm00514455_m1), cathepsin K (Mm00484036_m1), cathepsin L (Mm00515597_m1), cathepsin O (Mm00617413_m1), cathepsin S (Mm00457902_m1), cathepsin W (Mm00515599_m1), cathepsin X/Z (Mm00517697_m1), CD68 (Mm00839636_g1), CD45 (Mm00448463_m1), and Ubiquitin C (Mm01201237_m1) were purchased from Applied Biosystems.
Staining and analysis of tissue sections
For frozen tissues, 10-μm sections were fixed in acetone, preincubated with 1× PNB-blocking buffer (Perkin Elmer Life Sciences), and incubated with the primary antibody of interest overnight at 4°C. Appropriate Alexa dye-tagged secondary antibodies (Invitrogen) were used at a 1:500 dilution and incubated for 1 h at room temperature, followed by incubation in 2 μg/mL DAPI solution (Invitrogen) for 5 min. Species-matched immunoglobulins were used as negative controls. Slides were mounted in ProLong Gold Anti-fade Reagent (Invitrogen), and the tissue sections were visualized under a Carl Zeiss Axio Imager Z1 microscope equipped with an Apotome and AxioCam MRm camera, as well as an automated stage and PixelLink and PCO cameras (TissueGnostics).
The primary antibodies used were as follows: rabbit anti-mouse Iba1 (1:1000; WAKO Chemicals), rat anti-mouse CD34 (1:100; Serotec), rat anti-mouse EpCAM (1:500; eBioscience), rabbit anti-mouse cleaved caspase 3 (1:200; Cell Signaling), and rat anti-mouse CD45 (1:200; Serotec). TissueQuest software (TissueGnostics) was used for colocalization analysis and absolute quantitation of immunofluorescent staining.
For the apoptosis analysis, quantitation was performed using TissueQuest software to determine the percentage of cleaved caspase 3-positive cells per tumor. For these analyses as well as the vasculature quantitation, individual fields of view were stitched using TissueFAXS to cover the entire tumor area. For the angiogenesis analysis, mice were injected with FITC-conjugated lectin as previously described (Gocheva et al. 2006), and tissues were immunofluorescently stained for blood vessels with an anti-CD34 antibody. Vessel area and length were measured using Metamorph software (Molecular Devices), and calculations were performed using established protocols (Xian et al. 2006). Vessel functionality was assessed by calculating the CD34+ vessel area and the proportion of lectin staining overlapping CD34+ staining and was quantitated using a Metamorph software macro written by the MSKCC Molecular Cytology Core, as previously described (Gocheva et al. 2010a). The acquisition and analysis of images for all these analyses was performed in a blinded manner.
Patient samples
Paraffin-embedded samples from core biopsies at the time of diagnosis and excision samples after neoadjuvant chemotherapy at the time of surgical resection were obtained from Dr. Edi Brogi (MSKCC Breast Pathology service). All patient samples were obtained in compliance with the Institutional Review Board at MSKCC. Samples were stained with mouse anti-human CD68 antibody (Dako) at a 1:1 dilution, then further incubated with a biotin-conjugated goat anti-mouse secondary antibody (Vector BA-9200) and the Vectastain ABC kit (Vector Laboratories), followed by detection with SIGMAFAST DAB (Sigma). Cytokeratin staining was performed at the MSKCC Breast Pathology service. For the detection of CD68 in combination with antibodies against cathepsin B or cathepsin S (1:1000 and 1:500, respectively; R&D Systems), a multiple antigen-labeling method was developed. Briefly, cathepsin B or cathepsin S was visualized using peroxidase substrate and NovaRed detection, followed by anti-CD68 incubation, alkaline phosphatase substrate, and NovaBlue detection. To enable clear visualization of the red/brown (cathepsin B or cathepsin S) and blue (CD68) double staining, no counterstain was used for these experiments. All images were visualized under a Zeiss Axio Imager Z1 microscope and acquired using AxioVision image acquisition software.
Statistical analysis
Throughout this study, means ± SEM (standard error of the mean) are reported unless otherwise specified. For all two-way comparisons, with the exception of tumor volume curves, either unpaired t-tests or Mann-Whitney rank sum tests were used. For tumor volume curves, AUC analyses were performed for each mouse and averaged per treatment group, incorporating measurements from the entire 5 wk. For the long-term survival study, all comparisons were made using the log-rank (Mantel-Cox) test.
Acknowledgments
We acknowledge all members of the Joyce laboratory for important contributions to this study, particularly Lisa Sevenich for optimizing the double immunohistochemistry protocol for patient samples and helping with some of the xenograft studies; Vasilena Gocheva for backcrossing CtsC- and CtsS-null mice into the FVB/n background; and Drs. Lisa Sevenich, Alberto Schuhmacher, and Hao-Wei Wang for critical reading of the manuscript. We thank Guangli Li and Ouathek Ouerfelli, MSKCC Synthesis Core, for synthesizing JPM and the cathepsin ABPs; Elyn Reidel, Biostatistics Department, for biostatistics consultations; Ron Blasberg for the triple imaging vector; Thomas Reinheckel for providing CtsB- and CtsL-null mice (FVB/n); and Xiaoping Chen and Muzaffar Akram for excellent technical assistance. This research was supported by grants from The Breast Cancer Research Foundation (to J.A.J.), Emerald Foundation (to J.A.J.), a NIH ARRA supplement, the Slomo and Cindy Silvian Foundation (to J.A.J. and O.C.O.), the Geoffrey Beene Foundation (to J.A.J. and O.C.O.), and the MSTP and GSK graduate programs (to T.S. and O.C.O.).
Footnotes
Supplemental material is available for this article.
Article is online at http://www.genesdev.org/cgi/doi/10.1101/gad.180331.111.
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