Abstract
Cancer arises from malignant cancer cells in dynamic multilevel interactions with the host tissue. Cancer therapies aiming to directly destruct cancer cells including oncogene-targeted therapy and immune checkpoint therapy that revives tumor-reactive cytotoxic T lymphocytes are effective in some patients1,2; yet, acquired resistance frequently ensues3,4. An alternative therapeutic strategy aspires to rectify the host tissue pathology including vasculature abnormalities that foster cancer progression5,6; however, neutralization of proangiogenic factors such as vascular endothelial growth factor A (VEGFA) has limited clinical benefits7,8. Following the finding that transforming growth factor-β (TGF-β) suppresses T helper 2 (Th2)-mediated cancer immunity (cite accompanying paper from Liu M et al.), here we show that blocking TGF-β signaling in CD4+ T cells remodels the tumor microenvironment and restrains cancer progression. In a murine model of breast cancer resistant to immune checkpoint or anti-VEGF therapies9,10, inducible genetic deletion of the TGF-β receptor II (TGF-βRII) in CD4+ T cells suppressed tumor growth. For pharmacological blockade, we engineered a bispecific receptor decoy by attaching the TGF-β-neutralizing TGF-βRII extracellular domain to ibalizumab, a non-immunosuppressive CD4 antibody11,12, naming it CD4 TGF-β Trap (4T-Trap). Compared to a non-targeted TGF-β-Trap, 4T-Trap selectively inhibited Th cell TGF-β signaling in tumor-draining lymph nodes, causing tumor vasculature reorganization and cancer cell death, a process dependent on the Th2 cytokine interleukin-4 (IL-4). Notably, the 4T-Trap-induced tumor tissue hypoxia led to increased VEGFA expression. VEGF inhibition enhanced the starvation-triggered cancer cell death and amplified the anti-tumor effect of 4T-Trap. Thus, targeted TGF-β signaling blockade in helper T cells elicits an effective tissue-level cancer defense response that can anchor the cancer environment-directed therapies.
Cancer evolves from aberrant cancer cell and stroma interactions rooted in the maladaptation of developmental and tissue maintenance programs such as embryogenesis and wound healing13,14. Notably, tumor neovasculature resembles that of chronic wounds and fosters cancer progression15. We are interested in exploring immunological means of tumor vasculature reprogramming and have focused on the MMTV-PyMT (PyMT) transgenic model of murine breast cancer. Immunohistological analyses revealed that sprouting angiogenesis increased substantially early on when mammary tumors reached a size of 5x5 mm in association with cancer cell proliferation (Fig. 1a and Extended Data Fig. 1a). Torturous and bluntly ended vasculature became more abundant in later stage 9x9 mm tumors, accompanied by further enhanced cancer cell proliferation (Fig. 1a and Extended Data Fig. 1a).
Constitutive inhibition of TGF-β signaling in CD4+ T cells remodels the tumor vasculature and suppresses cancer progression (cite accompanying paper from Liu M et al.). To probe its therapeutic potential, we crossed PyMT mice carrying a floxed allele of the Tgfbr2 gene (Tgfbr2fl/fl) with CD4CreERT2 transgenic mice in which the Cre recombinase could be activated in CD4+ T cells by tamoxifen16. Cohorts of CD4CreERT2Tgfbr2fl/flPyMT and control Tgfbr2fl/flPyMT mice bearing 5x5 mm tumors were left untreated or treated with tamoxifen and monitored for tumor growth. Tamoxifen treatment of CD4CreERT2Tgfbr2fl/flPyMT mice ablated TGF-βRII expression specifically in CD4+ T cells (Extended Data Fig. 1b), causing enhanced differentiation of interferon-γ (IFN-γ)-producing Th1 and IL-4-producing Th2 cells (Extended Data Fig. 1c). Tumor burden was reduced by 5-fold at 6 weeks post-treatment in CD4CreERT2Tgfbr2fl/flPyMT mice (Fig. 1b), associated with increased cancer cell death, while cancer cell proliferation was unaffected (Extended Data Fig. 1d). Compared to tumors from tamoxifen-treated Tgfbr2fl/flPyMT mice showing extravascular deposition of fibrinogen, a sign of vessel leakage and irregularly shaped vasculature, these structures were reduced in tumors from tamoxifen-treated CD4CreERT2Tgfbr2fl/flPyMT mice (Extended Data Fig. 2a). In addition, the vessels in CD4CreERT2Tgfbr2fl/flPyMT tumors were surrounded by abundant NG2+ pericytes and GP38+ fibroblasts (Extended Data Fig. 2b), and ensheathed by highly connected basement membrane proteins collagen IV and fibronectin (Extended Data Fig. 2c). With this mature vasculature phenotype, there was a 6-fold increase of hypoxic areas adjacent to the dying tumor region (Extended Data Fig. 2d). Thus, the genetic blockage of TGF-β signaling in CD4+ T cells is sufficient to trigger vasculature reorganization leading to tumor hypoxia and cancer cell death.
Our previous studies have shown that TGF-β1 produced by activated CD4+ T cells, but not Treg cells or tumor cells, suppresses anti-tumor immunity17-19, implying an autocrine TGF-β Th cell control circuit in cancer immune evasion. To explore the pharmacologic blockade of TGF-β signaling in CD4+ T cells, we employed protein-engineering techniques to generate bispecific antibodies, one specificity for CD4 and one for TGF-β. To achieve CD4+ T cell targeting, we used ibalizumab, an anti-human CD4 (αCD4) that recognizes an epitope in the C2 domain of CD4 distinct from its major histocompatibility complex class II binding site11,12. The TGF-βRII extracellular domain (ECD) was utilized to block TGF-β signaling.
We engineered several bispecific formats with fusion of human TGF-βRII ECD to the antigen-binding (Fab) region of ibalizumab fused to a murine IgG1-Fc (fragment crystallized) where position 265 was mutated to alanine to prevent Fc receptor binding (Extended Data Fig. 3a). One of the formats with fusion of TGF-βRII ECD to the C-terminus of the antibody heavy chain, Fc-RIIECD, had high yield and low aggregation (Extended Data Fig. 3b-3c) and was chosen for further development as ‘CD4 TGF-β Trap’ (4T-Trap) (Fig. 2a). αCD4 and 4T-Trap, as well as a non-CD4-binding control antibody mGO53 and the mGO53 TGF-βRII ECD bispecifics (named as TGF-β-Trap), were expressed and purified to homogeneity (Fig. 2a and Extended Data Fig. 3d-3e). Binding of 4T-Trap and αCD4 to immobilized CD4 was similar with dissociation constants (Kd) around 0.1 nM (Fig. 2b and Extended Data Fig. 3f-3g), which was corroborated by their comparable binding to plasma membrane human CD4 ectopically expressed in HEK293 (293-hCD4) cells (Extended Data Fig. 3h). When compared to an anti-TGF-β (αTGF-β, 1D11 clone), 4T-Trap had a comparable association rate (Kon), but a faster dissociation rate (Koff) of binding to immobilized TGF-β1 (Fig. 2b and Extended Data Fig. 3g). However, in a TGF-β signaling reporter assay, 4T-Trap was a more effective inhibitor than αTGF-β showing 80% maximal inhibition (IC80) at 1.3 nM and 25 nM, respectively (Extended Data Fig. 3i). Using enzyme-linked immunosorbent assays, CD4 binding for 4T-Trap versus αCD4 and TGF-β1 binding for 4T-Trap versus TGF-β-rap were comparable (Fig. 2c). Importantly, using a pretreatment scheme of incubation followed by washing, 4T-Trap, but not TGF-β-rap, inhibited TGF-β signaling in 293-hCD4 cells (Fig. 2d). These findings demonstrate that 4T-Trap preserves efficient CD4 binding and potent TGF-β signlaing inhibition properties.
The human CD4 epitope recognized by ibalizumab is not conserved in mice11. In order to test the therapeutic efficacy of 4T-Trap in vivo, we generated a strain of human CD4 transgenic (hCD4) mice using a bacterial artificial chromosome harboring the human CD4 locus with the proximal enhancer region replaced by the murine equivalent to augment its expression20 (Extended Data Fig. 4a). Flow cytometry experiments revealed exclusive expression of human CD4 on mouse CD4+ T cells at a level comparable to that on human CD4+ T cells (Extended Data Fig. 4b and data not shown). The in vivo pharmacokinectics (PK) of biotinylated 4T-Trap and control antibodies were assessed in hCD4 mice (Extended Data Fig. 5a). Following administration at a single dose of 150 μg, mGO53 and TGF-β-Trap showed a linear PK and long half-life (t1/2 = 48 hr) in a 96 hr-testing window (Extended Data Fig. 5b). In contrast, αCD4 and 4T-Trap exhibited a nonlinear PK and short half-life (t1/2 = 20 hr) irrespective of antibody doses (Extended Data Fig. 5b-5c), as a likely consequence of antibody internalization following CD4 binding. Accordingly, serum TGF-β1 was depleted by 4T-Trap and TGF-β-Trap, but not mGO53 or αCD4, and the depletion kinetics matched their respective PKs (Extended Data Fig. 5b and 5d). Following administration to tumor-bearing hCD4PyMT mice, TGF-β-Trap and 4T-Trap substantially inhibited TGF-β signaling in cancer cells revealed by immunostaining of the phosphorylated Smad2 (pSmad2) (Extended Data Fig. 5e). pSmad2 was barely detectable by immunostaining in resting CD4+ T cells from tumor-draining lymph nodes (data not shown), which was corroborated by comparable background flow cytometry signals in mice treated with all four groups of antibodies (Fig. 2e). Notably, T cell activation triggered substantial increase of pSmad2 in CD4+ T cells from mGO53-, TGF-β-Trap- and αCD4-treated, but not 4T-Trap-treated mice (Fig. 2e), and the selective inhibitory activity of 4T-Trap versus TGF-β-Trap was associated with its targeting to CD4+ T cells (Fig. 2f). In line with these observations, 4T-Trap target occupancy (TO) in hCD4+ T cells approached 100% at 1 hr and 24 hr for all doses tested, which declined substantially at later time points (Extended data Fig. 5f). Notably, the 100 μg dose had an approximate 5% TO at 72 hr post-administration (Extended data Fig. 5f), which was sufficient to inhibit TGF-β signaling in CD4+ T cells (Extended Data Fig. 5g). These findings reveal that although 4T-Trap and TGF-β-Trap are equally potent in neutralizing serum TGF-β1 and inhibiting TGF-β signaling in cancer cells, 4T-Trap is selectively delivered to lymph node CD4+ T cells to potently suppress TGF-β signaling with a desirable pharmacodynamics (PD).
Based on the PK and PD properties of 4T-Trap, a treatment protocol of 100 μg/dose at twice a week was selected to explore its cancer therapeutic potential. hCD4PyMT mice bearing 5x5 mm tumors were treated with intravenous 4T-Trap or control antibodies including TGF-β-Trap, αCD4, and mGO53, for a total of 10 doses, and monitored for tumor growth for 6 weeks (Fig. 3a). Compared to control antibodies, 4T-Trap caused profound inhibition of tumor growth (Fig. 3b and Extended Data Fig. 5h). By immunohistological analyses, reorganized vasculature was only detected in the 4T-Trap group, manifested by reduced isolated CD31+ staining (Extended Data Fig. 6a). Diminished extravascular deposition of fibrinogen was also observed (Extended Data Fig. 6a), suggesting that 4T-Trap treatment inhibited vasculature leakiness. To further interrogate the vasculature phenotype, we perfused mice with sulfo-NHS-biotin. Although vascular perfusion in tumors appeared heterogeneous and indistinguishable in all groups, much less extravascular biotinylation of cancer cells was observed in the 4T-Trap group (Extended Data Fig. 6b), corroborating the nonporous vasculature phenotype. The vascular functionality change was associated with alteration of the vascular structure manifested by the tightly enwrapped NG2+ pericytes and GP38+ fibroblasts as well as the highly connected basement membrane proteins collagen IV and fibronectin in the 4T-Trap group (Extended Data Fig. 6c-6d). These findings demonstrate that 4T-Trap is efficacious in promoting vasculature reorganization and cancer suppression.
To better characterize the therapeutic effects of 4T-Trap, we monitored tumor vasculature dynamics and cancer cell fates in hCD4PyMT mice treated with 4T-Trap or control antibodies. At 1~2 weeks posttreatment, comparable sprouting angiogenesis in the tumor parenchyma was observed in all groups of mice (Fig. 3c). At 3~4 weeks, while vessel density was unchanged, the number of isolated CD31+ staining was increased in mice treated with mGO53, TGF-β-rap, or αCD4 control antibodies (Fig. 3c). In contrast, the bluntly ended blood vasculature was substantially repressed in mice treated with 4T-Trap (Fig. 3c), associated with an approximate 30-fold increase of hypoxic areas with minimal cancer cell death (Fig. 3c). By 5~6 weeks, the irregularly shaped blood vasculature was much more exaggerated in all control groups (Fig. 3c), but was further suppressed in 4T-Trap-treated mice (Fig. 3c), triggering catastrophic cancer cell death in hypoxic areas distant to the vasculature (Fig. 3c). Similar 4T-Trap-triggered tumor growth, vasculature remodeling and cancer cell death phenotypes were observed in mice bearing more advanced 9x9 mm tumors (Extended Data Fig. 7a-7c). These findings suggest that 4T-Trap restrains tumor progression by the induction of vasculature pruning and reorganization, which results in hypoxia and starvation-triggered cancer cell death.
4T-Trap treatment led to increased proportions of effector/memory CD4+ T cells in the tumor-draining lymph nodes (Extended Data Fig. 8a), which was associated with diminished expression of TGF-β target genes Smad7 and Rgs16 (Extended Data Fig. 8b). Furthermore, 4T-Trap treatment resulted in enhanced differentiation of IFN-β-producing Th1 and IL-4-producing Th2 cells as well as increased tumor infiltration of conventional CD4+Foxp3− T cells at the expense of CD8+ T cells (Extended Data Fig. 8c-8d). Notably, neutralization of IL-4, but not IFN-γ, reversed the tumor suppression phenotype (Extended Data Fig. 9a-9b), which was associated with attenuated vessel reorganization, diminished hypoxia, and reduced cancer cell death (Extended Data Fig. 9c). To extend these studies to other cancer models, hCD4 mice were subcutaneously inoculated with MC38 cells, followed by treatment with either 4T-Trap or control antibodies (Extended Data Fig. 9d). We observed selective suppression of tumor growth in 4T-Trap-treated mice (Extended Data Fig. 9e). Neutralization of IL-4 fully reversed the tumor repression phenotype (Extended Data Fig. 9f), while partial effect was observed with an IFN-γ blockade (Extended Data Fig. 9g).
Hypoxia triggers cellular adaptation to resolve ischemia via the induction of angiogenic factors such as VEGFA21. Indeed, while low level VEGFA expression was observed in tumors from hCD4PyMT mice treated with control antibodies (Fig. 4a), enhanced VEGFA expression in hypoxic areas was detected in mice treated with 4T-Trap (Fig. 4a). To investigate the functional significance of such an adaptive response, we engineered a VEGF receptor decoy called VEGF-Trap, wherein fragments of VEGF receptors22 were fused to a murine IgG2a-Fc (Extended Data Fig. 7d-7e). Compared to mGO53 control, VEGF-Trap treatment diminished tumor vessel density, but did not affect vessel patterning, and negligible effects on tumor tissue oxygenation or cancer cell survival were observed (Fig. 4b). Notably, co-administration of VEGF-Trap with 4T-Trap resulted in low vessel density in addition to its reorganization (Fig. 4b), which expanded cancer cell death regions at the expense of hypoxic areas (Fig. 4b), as a likely consequence of more severe nutrient deprivation in regions of hypoxia. In fact, while a hypoxic zone at the periphery of the cancer cell death region was detected in 4T-Trap-treated mice, with 4T-Trap plus VEGF-Trap treatment, the cancer cell death region expanded to the outer boundary of hypoxic areas (Fig. 4c). Importantly, while VEGF-Trap had no impact on tumor growth or survival of hCD4PyMT mice in line with previous studies10 (Fig. 4d-4e), it enhanced the tumor suppression and survival benefits of 4T-Trap (Fig. 4d-4e). These findings demonstrate that 4T-Trap can be combined with VEGF inhibitors to further restrain the tumor vasculature-mediated cancer progression.
TGF-β is a multifunctional cytokine with pleiotropic roles in diverse pathophysiological processes, rendering the approach of general TGF-β inhibition for cancer therapy an enormous challenge23-26. Herein, we found that targeted TGF-β signaling inhibition in CD4+ T cells revives helper T cell responses and suppresses cancer progression, a process mediated by the induction of vasculature reorganization with hypoxia and cancer cell death being secondary outcomes. Such a host-centric cancer defense response is dependent on IL-4. Future studies will clarify whether the type 2 immunity represents a general anti-cancer mechanism, or if the 4T-Trap-elicited type 1 immune response can also be harnessed to suppress tumor development as suggested by recent studies27-29. Notably, while VEGF-Trap induces quantitative vasculature change, 4T-Trap triggers qualitative vasculature remodeling. These findings raise the possibility that immunological mechanisms of vessel reprogramming may underscore the master plan of cancer environment-directed therapies (Extended Data Fig. 10). Further development of 4T-Trap and its testing in the clinic should provide further opportunities to exploit this tissue-level cancer immunotherapy approach.
Methods
Mice.
CD4CreERT2 mice were purchased from the Jackson Laboratory. Tgfrbr2fl/fl and MMTV-PyMT (PyMT) mice were maintained in the laboratory as previously described31,32. The human CD4 (hCD4) transgenic mice were generated by pronuclear microinjection of fertilized eggs with a modified bacterial artificial chromosome (BAC) containing the human CD4 gene locus with the proximal enhancer region replaced by its murine equivalent. Briefly, a BAC harboring the human CD4 gene locus was recombineered with a pLD53.SC-AB shuttle plasmid containing the mouse Cd4 proximal enhancer33 flanked by two homologous arms of the human CD4 gene. Founder hCD4 mouse strains were screened by PCR with human CD4-specific primers. All mice were backcrossed to the C57BL/6J background, and maintained under specific pathogen-free conditions. Animal experimentation was conducted in accordance with procedures approved by the Institutional Animal Care and Use Committee of Memorial Sloan Kettering Cancer Center.
Tumor measurement.
Mammary tumors in female PyMT mice or transplanted MC38 tumors were measured weekly with a caliper. Tumor burden was calculated using the equation [(LxW2) x (π/6)], in which L and W denote length and width. Total tumor burden was calculated by summing up individual tumor volumes of each mouse with an end-point defined when total burden reached 3,000 mm3 or one tumor reached 2,000 mm3.
Therapeutic treatment.
For TGF-βRII inducible deletion tumor model, Tgfbr2fl/flPyMT and CD4CreERT2Tgfbr2fl/flPyMT mice bearing 5x5 - 6x6 mm (LxW) tumors were left untreated or treated with 100 μL tamoxifen (Sigma) dissolved in corn oil at 50 mg/mL by oral gavage twice a week for 6 weeks. For small tumor treatment, hCD4PyMT mice harboring 5x5 mm tumors were intravenously injected twice a week for 5 weeks with mGO53 (100 μg), TGF-β-rap (100 μg), αCD4 (100 μg), 4T-Trap (100 μg) or combination of αCD4 (100 μg) with TGF-β-rap (100 μg) in 0.1-0.2 mL PBS. For larger tumor treatment, hCD4PyMT mice harboring 9x9 mm tumors were intravenously injected twice a week for 4 weeks with mGO53 (100 μg), TGF-β-rap (100 μg), αCD4 (100 μg) or 4T-Trap (100 μg) in 0.1 mL PBS. For IL-4 and IFN-γ neutralization experiments, hCD4PyMT mice harboring 5x5 mm tumors or hCD4 mice transplanted with MC38 tumor cell lines were intravenously injected twice a week with mGO53 (200 μg), 4T-Trap (100 μg) + mGO53 (100 μg), αIL-4 (100 μg) + mGO53 (100 μg), αIFN-γ (100 μg) + mGO53 (100 μg), 4T-Trap (100 μg) + αIFN-4 (100 μg) or 4T-Trap (100 μg) + αIFN-γ (100 μg) in 0.2 mL PBS. To assess 4T-Trap performance versus VEGF-Trap, hCD4PyMT mice harboring 5x5 mm tumors were intravenously injected twice a week for 5 weeks with mGO53 (200 μg), VEGF-Trap (100 μg) + mGO53 (100 μg), 4T-Trap (100 μg) + mGO53 (100 μg) or 4T-Trap (100 μg) + VEGF-Trap (100 μg) in 0.2 mL PBS. The IL-4 neutralizing antibody (11D11) and IFN-γ neutralizing antibody (XMG1.2) were purchased from Bio X Cell.
Immune cell isolation from tissues.
Single-cell suspensions were prepared from lymph nodes and spleens by tissue disruption with glass slides. The dissociated cells were passed through 70 μm filters and pelleted. Tumor-infiltrating immune cells were isolated from mammary tumors as previously described34. Briefly, tumor tissues were minced with a razor blade then digested in 280 U/mL Collagenase Type 3 (Worthington Biochemical) and 4 μg/mL DNase I (Sigma) in HBSS at 37°C for 1 hr and 15 min with periodic vortex every 20 min. Digested tissues were passed through 70 μm filters and pelleted. Cells were resuspended in 40% Percoll (Sigma) and layered above 60% Percoll. Sample was centrifuged at 1,900 g at 4°C for 30 min without brake. Cells at interface were collected, stained and analyzed by flow cytometry.
Flow cytometry.
Flurochrome-conjugated or biotinylated antibodies against mouse CD4 (RM4-5), CD8 (53-6.7), Foxp3 (FJK-16s), IFN-γ (XMG1.2), IL-4 (BVD6-24G2), NK1.1 (PK136), TCRβ (H57-595), CD45 (30-F11), CD44 (IM7), CD62L (MEL-14), CD11b (M1/70), B220 (RA3-6B2), XCR1 (ZET), NKp46 (29A1.4), CD11c (N418), Ly6c (AL-21), Ly6G (1A8), MHC-II I-A/I-E (M5/114.15.2) were purchased from BD Biosciences, TonBo, eBioscience, Invitrogen and BioLegend. All antibodies were tested with their respective isotype controls. Cell-surface staining was conducted by incubating cells with antibodies for 30 min on ice in the presence of 2.4G2 mAb to block FcγR binding. For Foxp3 staining, a transcription factor-staining kit (Tonbo Biosciences) was used. To assess cytokine production, T cells were stimulated with 50 ng/mL phorbol 12-myristate 13-acetate (Sigma), 1 mM ionomycin (Sigma) in the presence of Golgi-Stop (BD Biosciences) for 4 hr at 37°C as previously described35. T cells were subsequently stained for cell surface markers before intracellular cytokine staining. All data were acquired using an LSRII flow cytometer (Becton Dickinson) and analyzed with FlowJo software (Tree Star, Inc.).
Immunofluorescence staining.
Antibodies against CD31 (MEC13.3) and GP38 (8.1.1) were purchased from Biolegend. Antibodies against Col IV (Cat. #2150-1470) and fibrinogen (Cat. #4440-8004) were obtained from Bio-rad. Antibodies against fibronectin (Cat. #AB2033), NG2 (Cat. #AB5320) and cleaved caspase 3 (Cat. #9661S) and phosphorylated Smad2 (Cat. #3108S) were purchased from EMD and Cell Signaling Technology, respectively. Antibodies against E-Cadherin (DECMA-1) and Ki67 (SolA15) were obtained from eBioscience. Antibody against VEGFA (Cat. #AF-493-NA) was purchased from R&D Systems. Tumor tissues were frozen in O.C.T. medium (Sakura Finetek USA) and sectioned at the thickness of 10 μm. Tumor sections were fixed and stained with antibodies. Subsequently, they were mounted with VECTORSHIELD anti-fade mounting media (Vector Laboratories) and scanned by Pannoramic Digital Slide Scanners (3DHISTECH LTD). Immunofluorescence images were analyzed with CaseViewer and Fiji software, and further processed in Adobe photoshop and Illustrator software. To assess hypoxia response, 60 mg/kg pimonidazole hydrochloride was administered to mice via intraperitoneal injection. 1 h later, mice were sacrificed and tumor tissues were harvested. To detect the formation of pimonidazole adducts, tumor cryosections were immunostained with a Hypoxyprobe kit (Hypoxyprobe, Inc.) following the manufacturer’s instructions. For sulfo-NHS-biotin perfusion, deeply anesthetized mice were perfused with 20-mL 0.3 mg/mL sulfo-NHS-Biotin (Thermo Scientific) in PBS, followed by 2% PFA in PBS. Tumor sections were incubated with FITC streptavidin (Biolegend) diluted in PBST.
Cell lines.
HEK293 cells (Cat. #CRL-1573) and 1D11.16.8 hybridoma cell lines (Cat. #HB-9849) were purchased from ATCC. FreeStyle 293-F cells (Cat. #K9000-01) were obtained from ThermoFisher Scientific. Sf9 and Hi5 insect cell lines were kind gifts from Prof. Morgan Huse (MSKCC). MC38 colon cancer cell line was a kind gift from Prof. Jedd Wolchok (MSKCC). HEK293 cells stably expressing human CD4 were generated by retrovirus-mediated gene transfer. Briefly, HEK293 cells (5×106) plated on 10 cm dishes were transfected with a human CD4-expressing retroviral vector containing an EGFP reporter (10 μg) together with a helper plasmid (5 μg). Two days after transfection, the viruses were harvested and used to infect HEK293 cells in the presence of 4 μg/mL polybrene (Sigma). Infection was repeated twice to enhance the transduction efficiency, and cells were selected by flow cytometry sorting based on EGFP signals.
Antibody cloning.
DNA fragments of the ibalizumab VH domain were synthesized by Genewiz. Antibody protein fusion constructs were generated by overlapping PCR of DNA fragments encoding the ibalizumab or mGO53 VH domain and a mouse IgG1 constant region domain. To abrogate IgG1 Fc effector functions, a D265A mutation was introduced by site-directed mutagenesis (Agilent Technologies). A DNA fragment encoding the human TGF-βRII extracellular domain (ECD) was chemically synthesized (Genewiz), and fused to antibody expression constructs via a DNA fragment encoding a (Gly3Ser)3 linker. The VEGF-Trap expressing construct was created by overlapping PCR of DNA fragments encoding a mouse IgG2a Fc domain, the second Ig domain of human VEGFR1 and the third Ig domain of human VEGFR2 as previously described36.
Antibody expression and purification.
Antibody-encoding plasmids were transiently transfected into FreeStyle 293-F cell lines. Cell culture supernatants were collected 4 days post-transfection, cleared by low-speed centrifugation and 0.45 μm filters, diluted with a 10x binding buffer (0.2 M Na3PO4, pH 7.0) and passed through a protein A/G prepackaged gravity flow column (GE Healthcare). Antibodies were eluted with 0.1 M glycine-HCl (pH 2.7) into a neutralizing buffer (1 M Tris-HCl, pH 9.0), concentrated by centrifugation and buffer-exchanged into PBS (pH 7.4). Antibodies were quantified by spectrophotometry, and their purities were assessed by electrophoresis followed by Coomassie Blue staining. Size exclusion chromatography was used to further assess physicochemical homogeneity of antibodies and to resolve monomers from non-monomeric species. Briefly, antibodies were passed through an AKTA purifier (GE Healthcare) on a Superdex S200 10/300 GL column (GE Healthcare) with a mobile phase of PBS at a flow rate of 0.5 mL/min. Percent monomer was calculated as the area of the monomeric peak divided by the total area of monomeric plus nonmonomeric peaks at 280 nm. Antibody solutions were filtered through 0.22 μm filterers, validated for low endotoxin levels using a LAL chromogenic endotoxin quantification kit (Thermo Scientific) before used for experiments. To biotinylate antibodies, the C-terminus of antibody light chain was fused with a biotin-binding peptide, and subjected for in vitro biotinylation with a BirA biotin-protein ligase reaction kit (Avidity).
Recombinant CD4 expression and purification.
A DNA fragment encoding the extracellular domain of human CD4 (residues 26-390) with N-terminal fusion of the gp67 secretion signal and C-terminal fusion of a His tag was cloned into the baculovirus expression vector pAcGP67-A (BD Biosciences). Recombinant baculovirus was packaged in Sf9 cells, and used to infect Hi5 cells for CD4 protein expression. In a typical preparation, 500 mL liquid culture of Hi5 cells at a concentration of 2x106 cells/mL were inoculated with 12 mL recombinant baculovirus at a concentration of 2x108 pfu/mL. Supernatants were harvested 2 days after infection, and loaded onto a Ni2+-NTA column (GE Healthcare) for affinity purification. Recombinant CD4 was further purified by sequential Superdex S-75 and MonoQ columns.
Surface plasmon resonance.
Binding affinity analyses of 4T-Trap, αCD4 and an anti-TGF-β αTGF-β, 1D11 clone purified from 1D11.16.8 hybridoma cell line) were performed with a previously described protocol37. Briefly, recombinant human CD4 or TGF-β1 (Cat. #240-B-010, R&D systems) was immobilized to CM5 sensor chips. The binding kinetics was monitored by flowing 4T-Trap, αCD4 and αTGF-β over the chip for association, which was further monitored for their dissociation with the surface being washed for 5 min.
4T-Trap binding to cell surface CD4.
Serial dilutions of 4T-Trap or αCD4 were prepared in 96-well U-bottom plates in DMEM medium. 2x105 HEK293-hCD4 cells were added to each well and incubated on ice for 1 hr with shaking every 10 min. Cells were washed, resuspended and incubated in PE-conjugated donkey anti-mouse IgG (Cat. #12-4012-82, eBioscience) on ice for 30 min with shaking every 10 min. Cells were rewashed and analyzed by flow cytometry. The mean fluorescence intensity value was quantified.
Enzyme-Linked Immunosorbent Assay (ELISA).
Costar 96-well ELISA plates (Corning) were coated with 50 ng recombinant human CD4 or TGF-β1 for 18 hr at 4°C. Plates were washed four times with 0.05% Tween-20 in PBS and blocked with 0.5% BSA in PBS for 1 hr at room temperature. Serial dilutions of 4T-Trap or control antibodies were plated in triplicates and incubated at room temperature for 2 hr. Plates were washed four times and incubated with peroxidase-conjugated goat anti-mouse IgG (Cat. #115-035-003, Jackson Immuno Research) at 37°C for 1 hr. To detect CD4 and TGF-β1 co-binding, CD4-coated plates that had been incubated with 4T-Trap or control antibodies were incubated with 100 ng recombinant TGF-β1 for 2 hr. Plates were washed and incubated with a biotinylated TGF-β1 antibody (Cat. # BAF240, R&D systems) at room temperature for 2 hr. Plates were further washed and incubated with peroxidase-conjugated streptavidin (Jackson Immuno Research) at 37°C for 1 hr. After final washes, plates were incubated in a TMB solution at room temperature for 5 to 20 min, and the reaction was terminated with 1 M HCl. Plate absorbance at 450 nm with background correction at 570 nm was detected with a SpectraMax 384 Plus Microplate Reader (Molecular Devices).
Pharmacokinetic analysis and serum TGF-β1 measurement.
Plasma samples were drawn from hCD4 transgenic mice after intravenous injection of biotinylated 4T-Trap or control antibodies for 1, 24, 48, 72 and 96 hr. Streptavidin-coated plates (ThermoFisher Scientific) were incubated with plasma samples and standards at 37°C for 1 hr, washed four times and incubated with peroxidase-conjugated goat anti-mouse IgG at 37°C for 1 hr. As for serum TGF-β1 level measurement, costar 96-well ELISA plates coated with 1 μg αTGF-β (1D11) antibody for 18 hr at 4°C, were incubated with plasma samples (pretreated with hydrochloric acid) and standards at 37°C for 1 hr, washed four times and incubated with a biotinylated TGF-β1 antibody (Cat. # BAF240, R&D systems) at room temperature for 2 hr. Plates were further washed and incubated with peroxidase-conjugated streptavidin (Jackson Immuno Research) at 37°C for 1 hr. After final washes, plates were incubated in a TMB solution at room temperature for 5 to 20 min and the reaction was terminated with 1 M HCl. Plate absorbance at 450 nm with a background correction at 570 nm was detected in a SpectraMax 384 Plus Microplate Reader (Molecular Devices).
Luciferase reporter assays.
To assess TGF-β signaling, HEK293 cells or HEK293-hCD4 cells transfected with a TGF-β/SMAD Firefly luciferase reporter plasmid38 and a pRL-TK Renilla luciferase reporter plasmid were plated in 24-well plates at 2x105 cells per well in 500 μL of DMEM medium, and cultured for 18 hr at 37°C. Plates were subsequently incubated with serial dilutions of 4T-Trap or control antibodies in DMEM medium for 30 min, which were left unwashed or washed and re-cultured with 10 ng/mL recombinant human TGF-β1 in DMEM medium for 12 hr. Cells were subsequently lysed, and assyaed for luciferase activities with a dual-specific luciferase reporter assay system (Promega). To validate VEGF-Trap inhibition of VEGF signaling, HEK293 cells were co-transfected with a VEGF-responsive NFAT Firefly luciferase reporter plasmid39, a VEGFR2 expression plasmid and a pRL-TK Renilla luciferase reporter plasmid. Plates were subsequently incubated with serial dilutions of VEGF-Trap and 10 ng/mL recombinant mouse VEGF165 (Cat. # 450-32, Peprotech) for 12 hr before luciferase activities were measured.
Immunoblotting.
CD4+ T cells from hCD4 transgenic mice were purified using a Magnisort Mouse CD4 T Cell Enrichment Kit (Affymetrix), and incubated with 10 ng/mL, 50 ng/mL, 100 ng/mL or 500 ng/mL 4T-Trap for 10 min. Cells were washed, cultured with 10 ng/mL recombinant human TGF-β1 for 1 hr, and collected into a cell lysis buffer (50 mM Tris-HCl, pH 7.6, 150 mM NaCl, 0.5% Triton-X-100, 2mM EGTA, 10 mM NaF, 1mM Na3VO4 and 2 mM DTT) supplemented with protease inhibitors. Protein extracts were made, separated by SDS-PAGE gel and blotted with SMAD2/3 (D7G7) and phospho-SMAD2(Ser465/467)/SMAD3(S423/S425) (D27F4) antibodies from Cell Signaling Technology.
Quantitative RT-PCR.
Effector/memory CD4+ T cells from tumor-draining lymph nodes were isolated with an EasySep Mouse Memory CD4+ T cell Isolation Kit (STEMCELL). Total RNA was extracted with an RNeasy Micro Kit (Qiagen), reversed-transcribed with SuperScript II Reverse Transcriptase (ThermoFisher), and amplified in a StepOnePlus Real-Time PCR System with SYBR Green PCR Master Mix (Applied Biosystems). The change-in-cycling-threshold (2-ΔΔCt) method was used for calculation of relative target gene expression normalized to the housekeeping transcript Gapdh. RT-PCR primer pairs included Smad7 Forward: ggaagatcaaccccgagctg; Reverse: cagcctgcagttggtttgaga; Rgs16, Forward: tgccactaccagttgcttcg; Reverse: cttgaggaagcgcggatagg; Gapdh, Forward: 5'-atggtgaaggtcggtgtgaa-3'; Reverse: 5'-cgctcctggaagatggtgat-3'.
CD4 target occupancy assay.
100 μL blood was collected retro-orbitally in EDTA-coated Eppendorf tubes from mice that had been intravenously administered with biotinylated 4T-Trap. The blood samples were divided into two groups. The first group was spiked with 1 μg biotinylated 4T-Trap for 30 min at 4°C as a 100% target occupancy (TO) control, while the second group was left untreated. All samples were washed twice with 1% FBS in PBS and stained with PE-conjugated streptavidin and a cocktail of antibodies against T cell surface markers for 30 min at 4°C. Cells were re-washed and analyzed by flow cytometry. The TO percentage was calculated as 100 x [Mean Fluorescence Intensity (MFI) of sample PE signal/MFI of spiked sample PE signal].
Statistical analysis.
All experiments were repeated at least three times except measurements of individual tumors. All statistical measurements are displayed as mean ± SEM. For comparisons of two groups, unpaired Student's t-test (two-tailed) was conducted. For paired distance comparisons, paired t-test (two-tailed) was conducted. For comparisons of more than two groups, data were analyzed by one-way ANOVA and results were adjusted with the Bonferroni's correction. For multiple group comparisons with more than one independent variable, two-way ANOVA was used. Data were analyzed with GraphPad Prism Software. Fluorescent-imaging analysis was performed in a blinded fashion.
Reporting Summary
Further information on research design is available in the Nature Research Reporting Summary linked to this paper.
Extended Data
Supplementary Material
Acknowledgements
We thank members of the M.O.L. laboratory for helpful discussions, and Shiaoching Gong (MSKCC) for help with the recombineering technique and BAC DNA purification. This work was supported by a Howard Hughes Medical Institute Faculty Scholar Award (M.O.L.), an award from Mr. William H. and Mrs. Alice Goodwin and the Commonwealth Foundation for Cancer Research and the Center for Experimental Therapeutics at Memorial Sloan Kettering Cancer Center (M.O.L.) and a Cancer Center Support Grant (P30 CA08748). S.L., C.C. and X.Z. are Cancer Research Institute Irvington Fellows supported by the Cancer Research Institute. M.H.D. and B.G.N. are recipients of F31 CA210332 and F30 AI29273-03 awards from National Institutes of Health. E.G.S. is a recipient of a Fellowship from the Alan and Sandra Gerry Metastasis and Tumor Ecosystems Center of MSKCC.
Footnotes
Competing Interests
MSKCC has filed a patent application with the U.S. Patent and Trademark Office directed toward methods and compositions for targeting TGF-β signaling in CD4+ helper T cell for cancer immunotherapy.
Data Availability
Data generated here are included within the paper (and its Supplementary Information files) or are available from the corresponding authors upon reasonable request. Source data for Figs. 1-4 and Extended Data Figs. 1-3 and 5-9 are provided with the paper.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Data generated here are included within the paper (and its Supplementary Information files) or are available from the corresponding authors upon reasonable request. Source data for Figs. 1-4 and Extended Data Figs. 1-3 and 5-9 are provided with the paper.