Literature DB >> 35647274

Bioorthogonal Equipping CAR-T Cells with Hyaluronidase and Checkpoint Blocking Antibody for Enhanced Solid Tumor Immunotherapy.

Yangyang Zhao1,2, Yansong Dong1,2, Shuhan Yang1, Yalan Tu1,3, Chengbo Wang1,4, Jun Li1, Youyong Yuan1,2, Zhexiong Lian1.   

Abstract

Adoptive cellular therapy utilizing chimeric antigen receptor redirected T (CAR-T) cells has shown impressive therapeutic effects on hematological malignancies. In contrast, the efficacy of CAR-T therapies in treating solid tumors is still poor, which is largely due to inefficient penetration into solid tumors and the immunosuppressive tumor microenvironment. Herein, we engineered hyaluronidase (HAase) and the checkpoint blocking antibody α-PDL1 on the CAR-T cell surface via highly efficient and biocompatible bioorthogonal click chemistry to improve their therapeutic effects on solid tumors. The modified HAase degrades hyaluronic acid and destroys the tumor extracellular matrix, allowing CAR-T cells to penetrate deeply into solid tumors, as evidenced by in vitro infiltration experiments and in vivo biodistribution studies. In addition, in vitro cytotoxicity studies showed stronger antitumor activity of α-PDL1-decorated cells than traditional CAR-T cells. Importantly, HAase- and α-PDL1-engineered CAR-T cells showed better therapeutic efficacy on two solid tumor models and did not cause significant systemic side effects. In this work, we provide a simple, efficient, and biologically safe chemical strategy to engineer traditional CAR-T cells for enhanced therapeutic efficacy on solid tumors, which can be extended to other adoptive cellular immunotherapies and holds great potential for clinical application.
© 2022 The Authors. Published by American Chemical Society.

Entities:  

Year:  2022        PMID: 35647274      PMCID: PMC9136969          DOI: 10.1021/acscentsci.2c00163

Source DB:  PubMed          Journal:  ACS Cent Sci        ISSN: 2374-7943            Impact factor:   18.728


Introduction

Immunotherapy utilizing T cell engineering with chimeric antigen receptors (CARs) has shown promise in cancer therapy, especially for hematological malignancies.[1,2] The U.S. Food and Drug Administration (FDA) has approved several CD19-targeted CAR-T products for treating several hematological malignancies.[3,4] Although CAR-T therapies have shown exciting clinical efficacy for hematological malignancies, their efficacy for solid tumors is still very limited.[5,6] The poor efficacy of CAR-T therapy in the treatment of solid tumors is due to the unique tumor microenvironment of solid tumors.[7−9] First, it is known that binding of target antigens on tumor cell surface is the fundamental prerequisite for CAR-T therapy.[6] In hematological malignancies, CAR-T cells can easily target tumor cells, as the tumor cells share the same hematopoietic origin and tend to migrate to similar areas.[5] However, in the case of solid tumors, the dense extracellular matrix (ECM) formed by cancer-associated fibroblasts (CAFs) greatly prevents T cells from infiltrating the deep area of the tumor, thus inhibiting continuous contact between tumor cells and CAR-T cells.[10] Second, the immunosuppressive microenvironment also plays an important inhibitory role in the antitumor effect of CAR-T therapy. Solid tumors contain a large number of immunosuppressive cells, such as myeloid-derived suppressor cells (MDSCs), regulatory T cells (Treg’s) and tumor-associated macrophages (TAMs), which cause T cells to lose their antitumor effect through multiple mechanisms, thereby forming an immunosuppressive microenvironment.[11,12] Besides, activated T cells secrete multiple cytokines, such as IFN-γ, which in turn increase the expression of programmed cell death 1 ligand 1 (PDL1) on tumor cells.[13] PDL1 binds to the programmed death protein 1 (PD1) on T cell surfaces and inhibits their antitumor activity.[14] Therefore, enhancing the infiltration capability in combination with modulating tumor immunosuppressive microenvironment is a prerequisite for improving CAR-T therapies for solid tumors. In this landscape, numerous efforts have been made to improve the efficacy of CAR-T therapies for solid tumors. The degradation of the ECM is an effective approach to breaking through the barrier of CAR-T cell infiltration in solid tumors. Many tumor cells express high levels of heparan sulfate proteoglycan in the ECM. Engineering CAR-T that express heparanase, an enzyme that degrades heparan sulfate proteoglycan, has shown enhanced tumor infiltration and antitumor efficacy in solid tumors.[15] Checkpoint blockade immunotherapy, which intervenes in the immunosuppressive pathway by using antibodies to block checkpoint proteins, such as PDL1, and cytotoxic T lymphocyte associated antigen 4 (CTLA4), has also shown great prospects in solid tumor treatment.[16,17] Thus, checkpoint blockade immunotherapy, including PD1/PDL1 antibodies,[18,19] engineering cells to secrete checkpoint inhibitors,[20] and knocking out PD1,[21,22] have been used in combination with CAR-T therapy and have shown an enhanced therapeutic effect on solid tumors. However, these methods require complicated genetic engineering and long-term in vitro culture, which may limit the efficiency of CAR-T therapy. Therefore, it is urgent to develop simple and innovative CAR-T cell modification strategies for solid tumor treatment. Bioorthogonal reactions can occur in living cells or tissues without interfering with native biochemical reactions and are often used in combination with click chemistry for chemical modification of living cells.[23−25] In this study, ECM-degrading hyaluronidase (HAase), for enhanced tumor penetration,[26] and checkpoint blocking antibody α-PDL1, for immunosuppressive tumor microenvironment modulation, were simultaneously conjugated on CAR-T cell surface via highly efficient and biocompatible bioorthogonal click chemistry (Figure ). Specifically, while CAR-T cells were constructed with lentivirus, N-azidoacetylmannosamine tetraacylated (Ac4ManNAz), an azide-containing metabolic glycoprotein labeling reagent, was added to the medium, and the T cell membranes were then modified with azide groups through intrinsic biosynthesis. Then, azide-modified cells were conjugated with dibenzocyclooctyne (DBCO)-modified HAase for enhanced tumor penetration, while DBCO-modified α-PDL1 was conjugated with tumor extracellular acidity-responsive maleic acid amide bonds.[27] α-PDL1 can be released from α-PDL1- and HAase-engineered cells (H-P@CAR-T) under the acidic condition of the tumor microenvironment and reverse the immunosuppression of the PD1–PDL1 pathway to improve the antitumor activity. Furthermore, compared with unmodified cells, H-P@CAR-T cells degraded tumor hyaluronic acid (HA) and showed enhanced tumor infiltration in both in vitro and in vivo experiments. This study provides a simple and efficient strategy to improve the therapeutic effect of CAR-T cells in solid tumors, which may expand their clinical application.
Figure 1

Schematic of HAase- and α-PDL1-engineered CAR-T cells (H-P@CAR-T) for enhanced solid tumor immunotherapy. (a) Tumor extracellular matrix (ECM) degrading enzyme HAase and checkpoint blocking antibody α-PDL1 were engineered on the CAR-T cell surface by metabolic glycan biosynthesis and click reaction. α-PDL1 was conjugated with tumor extracellular acidity-responsive maleic acid amide bonds and could be released in a low pH tumor microenvironment. (b) H-P@CAR-T cells destroy tumor ECM by degrading hyaluronic acid and show enhanced tumor infiltration capability. Furthermore, the checkpoint blocking antibody α-PDL1 releases from H-P@CAR-T cells under the acidic condition of the tumor microenvironment which reverses the immunosuppression of PD1–PDL1 pathway and in turn improves the antitumor activity.

Schematic of HAase- and α-PDL1-engineered CAR-T cells (H-P@CAR-T) for enhanced solid tumor immunotherapy. (a) Tumor extracellular matrix (ECM) degrading enzyme HAase and checkpoint blocking antibody α-PDL1 were engineered on the CAR-T cell surface by metabolic glycan biosynthesis and click reaction. α-PDL1 was conjugated with tumor extracellular acidity-responsive maleic acid amide bonds and could be released in a low pH tumor microenvironment. (b) H-P@CAR-T cells destroy tumor ECM by degrading hyaluronic acid and show enhanced tumor infiltration capability. Furthermore, the checkpoint blocking antibody α-PDL1 releases from H-P@CAR-T cells under the acidic condition of the tumor microenvironment which reverses the immunosuppression of PD1–PDL1 pathway and in turn improves the antitumor activity.

Results

Construction of HAase- and α-PDL1-Engineered CAR-T Cells (H-P@CAR-T)

To construct H-P@CAR-T cells, we first isolated splenic CD3+ T cells from mice using the immunomagnetic bead separation method. Then, purified CD3+ T cells were stimulated by anti-CD3/CD28 antibodies to induce activation and expansion and then transfected with lentivirus containing mouse CD19-targeted CAR. Meanwhile, Ac4ManNAz (50 mM) was added and incubated for 48 h to modify T cell membranes with azide groups through metabolic engineering. Transfection efficiency was assessed by expression of enhanced green fluorescent protein (EGFP) introduced into the CAR vector. As shown in Figure a, the percentage of CAR-positive T cells in the Ac4ManNAz-treated group and the Ac4ManNAz-free group were similar and were approximately 40%, indicating that Ac4ManNAz did not affect the transduction efficiency. To detect the azide groups on the membranes, T cells were incubated with DBCO-modified cyanine-5 (Cy5) dye to react with the azide groups on the cell membrane through a click reaction and then detected with the use of flow cytometry. As shown in Figure b, almost all T cells carried azide groups on their membranes and could react with DBCO for further labeling. To conjugate α-PDL1 and HAase on CAR-T cells, α-PDL1 and HAase were modified with DBCO (Figures S1 and S2), and the resulting products showed similar activities compared with unmodified α-PDL1 and HAase studied by ELISA and enzyme activity measurement, respectively (Figure S3a,b). To confirm that DBCO-modified α-PDL1 and HAase were conjugated on the cell surface through bioorthogonal click reaction of DBCO and azide groups, α-PDL1 and HAase were labeled with fluorescent dyes of phycoerythrin (PE) and Cy5, respectively. As shown in Figure c, both PE (green) and Cy5 (red) fluorescence signals were observed on the surface of H-P@CAR-T cells, demonstrating that α-PDL1 and HAase were successfully conjugated to cell membrane. In addition, to quantify the amounts of HAase and α-PDL1 on the cell surface, we measured the fluorescence intensity of unbound DBCO-modified HAaseCy5 and DBCO-modified α-PDL1PE in the supernatant. The amounts of HAase and α-PDL1 modified on different CAR-T cells were controlled at similar levels, which is necessary for the subsequent studies (Figure S4).
Figure 2

Equipment and characterization of HAase- and α-PDL1-engineered CAR-T cells. (a) CAR expression of T cells after lentivirus transfection, detected with EGFP. (b) Azide groups on T cell surface were detected by flow cytometry. After 48 h incubation with Ac4ManNAz (50 mM), T cells were incubated with DBCO-Cy5 to react with the azide groups and then analyzed by flow cytometry. (c) Fluorescence images of CAR-T cells equipped with α-PDL1PE (green) and HAaseCy5 (red). (d) CD3, CD4, and CD8 expression of T cells after coincubation with Ac4ManNAz (50 mM) for 48 h. (e) Specific lysis of A20 tumor cells after incubation with different CAR-T cells. n = 3. (f) Dynamic changes of fluorescence intensity of HAaseCy5 and α-PDL1PE at pH 7.2 and 6.5. n = 3. Data are shown as the mean ± standard deviation (SD).

Equipment and characterization of HAase- and α-PDL1-engineered CAR-T cells. (a) CAR expression of T cells after lentivirus transfection, detected with EGFP. (b) Azide groups on T cell surface were detected by flow cytometry. After 48 h incubation with Ac4ManNAz (50 mM), T cells were incubated with DBCO-Cy5 to react with the azide groups and then analyzed by flow cytometry. (c) Fluorescence images of CAR-T cells equipped with α-PDL1PE (green) and HAaseCy5 (red). (d) CD3, CD4, and CD8 expression of T cells after coincubation with Ac4ManNAz (50 mM) for 48 h. (e) Specific lysis of A20 tumor cells after incubation with different CAR-T cells. n = 3. (f) Dynamic changes of fluorescence intensity of HAaseCy5 and α-PDL1PE at pH 7.2 and 6.5. n = 3. Data are shown as the mean ± standard deviation (SD). CD3, CD4, and CD8 are important molecules related to T cell functions. As shown in Figure d, no obvious changes in the expression of CD3, CD4, and CD8 on CAR-T cells incubated with Ac4ManNAz and modified with HAase and α-PDL1 was observed by flow cytometry, indicating that the metabolic Ac4ManNAz-based glycan biosynthesis and click reaction had little effect on the function of T cells. We next assessed whether Ac4ManNAz affected the cytotoxicity of CAR-T cells against tumor cells. CAR-T cells (effector) were incubated with A20 cells (target) at a variety of effector/target ratios. To evaluate the cytotoxicity, the level of lactate dehydrogenase (LDH) in the supernatant released from lysed tumor cells was measured after 24 h of incubation. As presented in Figure e, Ac4ManNAz-treated CAR-T cells showed similar cytotoxicity against A20 tumor cells compared with untreated controls. In addition, engineered cells exhibited phenotypes similar to those of unmodified CAR-T cells (Figure S5). These results collectively demonstrated that Ac4ManNAz-based bioorthogonal membrane modification has little effect on CAR-T cells. Next, we investigated the dynamic stability and pH response of HAaseCy5/α-PDL1PE modification on cells using flow cytometry. In pH 7.2 medium, both HAaseCy5 and α-PDL1PE were relatively stable on CAR-T cells for up to 24 h. In pH 6.5 medium, which mimics the acidic microenvironment of tumors, HAaseCy5 was still stable on CAR-T cells, while α-PDL1PE was rapidly released as it was linked with tumor extracellular pH-sensitive maleic acid amide bonds (Figure S6 and Figure f).

Hyaluronidase Improves the Infiltration Capability of CAR-T Cells

Collagen is the most abundant protein in the tumor ECM and forms a scaffold, while HA fills the space between collagen fibers.[28] To study the tumor infiltration capability of H-P@CAR-T cells, we prepared a gel that mimicked tumor ECM using HA and rat tail collagen I on the bottom of the upper chamber and added 20 μg/mL CXCL5 to the lower chamber, which held chemotactic T cells (Figure a). Different CAR-T cells at an equal amount of 1 × 105 were seeded into the upper chamber, and at 12 h post incubation, the numbers of cells that infiltrated the lower chamber were counted by using a hemocytometer. T cells equipped with HAase, including HAase@CAR-T and H-P@CAR-T, exhibited significantly higher infiltration capability than those without HAase modification (Figure b). In addition, the infiltration capability of α-PDL1@CAR-T was similar to that of unmodified cells, demonstrating that the checkpoint blocking antibody α-PDL1 has no effect on the infiltration of T cells. These results indicated that HAase could improve the infiltration capability of CAR-T cells to penetrate the ECM-mimicking gel.
Figure 3

Hyaluronidase decoration improves the infiltration capability of CAR-T cells. (a) Schematic diagram of the in vitro ECM model using a transwell to evaluate the infiltration capability of different CAR-T cells across the ECM-mimicking gel. (b) Infiltration index of different cells after 12 h of incubation. Infiltration index is defined as the ratio of the number of different CAR-T cells that infiltrated the lower chamber to the number of unmodified cells that infiltrated the lower chamber, which presents the infiltration capability of different CAR-T cells relative to the unmodified cells. The infiltration index was calculated as infiltration index = N/NUnmodified CAR-T, where N represents the numbers of different CAR-T cells in the lower chamber and NUnmodified CAR-T represents the numbers of unmodified cells in the lower chamber. n = 3. (c) Illustration of an ex vivo tumor coculture model to evaluate the infiltration capabilities of different cells. (d) Representative fluorescent images of sectioned ex vivo tumor tissues after 24 h of coculture. CAR-T cells were labeled with DiD (red), and nuclei were stained with DAPI (blue). (e) Quantitative analysis of the infiltration depth of individual T cells in the tumor tissue. n = 10 for I and III groups; n = 30 for II and IV groups. Data are shown as the mean ± SD. Statistical significance was calculated via one-way ANOVA test. ∗, p < 0.05; ∗∗, p < 0.01; ∗∗∗, p < 0.001.

Hyaluronidase decoration improves the infiltration capability of CAR-T cells. (a) Schematic diagram of the in vitro ECM model using a transwell to evaluate the infiltration capability of different CAR-T cells across the ECM-mimicking gel. (b) Infiltration index of different cells after 12 h of incubation. Infiltration index is defined as the ratio of the number of different CAR-T cells that infiltrated the lower chamber to the number of unmodified cells that infiltrated the lower chamber, which presents the infiltration capability of different CAR-T cells relative to the unmodified cells. The infiltration index was calculated as infiltration index = N/NUnmodified CAR-T, where N represents the numbers of different CAR-T cells in the lower chamber and NUnmodified CAR-T represents the numbers of unmodified cells in the lower chamber. n = 3. (c) Illustration of an ex vivo tumor coculture model to evaluate the infiltration capabilities of different cells. (d) Representative fluorescent images of sectioned ex vivo tumor tissues after 24 h of coculture. CAR-T cells were labeled with DiD (red), and nuclei were stained with DAPI (blue). (e) Quantitative analysis of the infiltration depth of individual T cells in the tumor tissue. n = 10 for I and III groups; n = 30 for II and IV groups. Data are shown as the mean ± SD. Statistical significance was calculated via one-way ANOVA test. ∗, p < 0.05; ∗∗, p < 0.01; ∗∗∗, p < 0.001. We further investigated the tumor infiltration capability of H-P@CAR-T in ex vivo A20 tumors. A20 is a CD19-expressing tumor cell line derived from B cells that can be used to establish a solid tumor model subcutaneously (sc).[29−31] Flow cytometry analysis confirmed that the A20 cells expressed high levels of CD19 (Figure S7). In addition, histochemical staining showed abundant collagen and HA were present in the ECM of A20 tumors (Figures S8 and S9), which demonstrated that A20 tumors are a suitable solid tumor model for this study. As shown in Figure c, 1,1′-dioctadecyl-3,3,3′,3′-tetramethylindodicarbocyanine, 4-chlorobenzenesulfonate salt (DiD) labeled CAR-T cells were incubated with excised A20 tumor tissue for 24 h, and then the tumor infiltration was evaluated through tissue sections. As presented in Figure d, the representative fluorescent images of sectioned tumor tissues showed that HAase-modified cells penetrated more and farther into the tumor tissues compared with those without HAase modification. Quantitative analysis of the infiltration depth of individual T cells in the tumor tissue further demonstrated the enhanced tumor infiltration capability of HAase-modified cells, including HAase@CAR-T and H-P@CAR-T cells (Figure e), which is consistent with the above gel infiltration results.

Equipped α-PDL1 Enhances the Cytotoxicity of CAR-T Cells against A20 Tumor Cells

Many cancer cells highly express PDL1, which binds to PD1 on T cells, leading to T cell dysfunction.[32] Flow cytometry analysis showed that A20 tumor cells express a high level of PDL1 (Figure S10), which may cause exhaustion of T cells. Therefore, equipping CAR-T cells with α-PDL1 was expected to relieve the exhaustion and enhance the antitumor cytotoxicity. To evaluate the effect of α-PDL1 decoration on the cytotoxicity against tumor cells, CAR-T cells (effector) were incubated with A20 tumor cells (target) at a variety of effector/target ratios. After 24 h of incubation under acidic conditions at pH 6.5, the level of LDH released from lysed tumor cells in the supernatant was measured to evaluate the cytotoxicity of CAR-T cells. As presented in Figure a, CAR-T cells in each group showed cytotoxicity against A20 tumor cells in a dose-dependent manner. In addition, α-PDL1@CAR-T and H-P@CAR-T exhibited stronger cytotoxicity than those without α-PDL1 modification, demonstrating that the modification of α-PDL1 can enhance the antitumor cytotoxicity of CAR-T cells.
Figure 4

Modified α-PDL1 enhances the cytotoxicity of CAR-T cells against A20 tumor cells. (a) Lysis of A20 tumor cells after incubation with different CAR-T cells evaluated by measuring released lactate dehydrogenase (LDH) in medium. n = 3. (b) Apoptosis analysis of A20 tumor cells after incubation with T cells as indicated for 24 h. (c) Quantification of apoptosis and necrosis of A20 tumor cells after incubation as indicated. n = 3. (d–f) Secretion of IFN-γ, TNF-α, and IL2 after coincubation for 2 h examined by enzyme-linked immunosorbent assay (ELISA). n = 3. (g) Schematic illustration of IFN-γ secretion from CAR-T cells and checkpoint blockade inducing the upregulation of PDL1 expression in A20 tumor cells. (h) The mRNA level of PDL1 in A20 tumor cells incubated with various CAR-T cells. n = 3. Data are shown as the mean ± SD. Statistical significance was calculated via one-way ANOVA test. ∗, p < 0.05; ∗∗, p < 0.01; ∗∗∗∗, p < 0.0001.

Modified α-PDL1 enhances the cytotoxicity of CAR-T cells against A20 tumor cells. (a) Lysis of A20 tumor cells after incubation with different CAR-T cells evaluated by measuring released lactate dehydrogenase (LDH) in medium. n = 3. (b) Apoptosis analysis of A20 tumor cells after incubation with T cells as indicated for 24 h. (c) Quantification of apoptosis and necrosis of A20 tumor cells after incubation as indicated. n = 3. (d–f) Secretion of IFN-γ, TNF-α, and IL2 after coincubation for 2 h examined by enzyme-linked immunosorbent assay (ELISA). n = 3. (g) Schematic illustration of IFN-γ secretion from CAR-T cells and checkpoint blockade inducing the upregulation of PDL1 expression in A20 tumor cells. (h) The mRNA level of PDL1 in A20 tumor cells incubated with various CAR-T cells. n = 3. Data are shown as the mean ± SD. Statistical significance was calculated via one-way ANOVA test. ∗, p < 0.05; ∗∗, p < 0.01; ∗∗∗∗, p < 0.0001. To verify the enhanced cytotoxicity of α-PDL1-modified CAR-T cells to tumor cells, we further studied the apoptosis or necrosis of A20 tumor cells coincubated with different CAR-T cells at an effector/target ratio of 2:1. After 24 h of incubation, tumor cells were stained with Annexin V/propidium iodide (PI) and then analyzed by flow cytometry. As shown in Figure b,c, more than 96.2% of A20 cells were located in the viable area after incubation with untransfected T cells or without any treatment. When treated with CAR-T or HAase@CAR-T, the percentages of apoptotic and necrotic cells were 49.4 and 54.5%, respectively. More importantly, the percentages of apoptotic and necrotic cells increased to 72.3 and 72.9% when treated with α-PDL1@CAR-T or H-P@CAR-T, respectively. These results further illustrated the role of α-PDL1 in improving the antitumor effect of CAR-T cells. In addition, the activities of CAR-T cells in various groups were evaluated by measuring released cytokines. After incubation with A20 tumor cells for 2 h, α-PDL1@CAR-T and H-P@CAR-T that were modified with α-PDL1 showed higher releases of IFN-γ, TNF-α, and IL2 than those without α-PDL1 modification (Figure d–f), suggesting that activation of CAR-T can be enhanced by α-PDL1 decoration. It is reported that the expression of PDL1 on most tumor cells is induced by IFN-γ and is closely related to the success of PD1/PDL1 checkpoint blockade.[33] Therefore, we evaluated the expression levels of PDL1 in A20 tumor cells after coculture with CAR-T by quantitative real-time PCR (Figure g). Obviously, the levels of PDL1 mRNA in A20 cells treated with α-PDL1@CAR-T and H-P@CAR-T were significantly upregulated compared with that in A20 cells treated with cells without α-PDL1 modification, demonstrating the PDL1 expression of A20 cells could be upregulated after coculture with α-PDL1-equipped CAR-T cells, likely due to enhanced IFN-γ release and successful checkpoint blockade by α-PDL1 (Figure h).

Modified HAase Enhances Tumor Infiltration of CAR-T Cells In Vivo

Infiltration of deep tumor tissue is essential for the enhanced therapeutic effect of CAR-T therapy. Thus, we further evaluated the in vivo tumor infiltration capability of CAR-T cells using the A20 solid tumor model. 1,1-Dioctadecyl-3,3,3,3-tetramethylindotricarbocyaine iodide (DiR), a near-infrared fluorescent dye, was used to label CAR-T cells, and then the DiR-labeled cells were injected intravenously into A20 tumor bearing mice. At 24 h post injection, the main organs and tumors of mice in each group were excised and examined with an in vivo imaging system. Ex vivo fluorescent images in Figure a show that all kinds of CAR-T cells inevitably entered the liver and spleen, possibly because liver and spleen are the main metabolic organs. Moreover, distinct amounts of DiR signals were detected in the tumor tissue after injection of HAase@CAR-T or H-P@CAR-T. The fluorescence intensity in mice treated with HAase@CAR-T or H-P@CAR-T showed enhanced tumor accumulation, which was 4.6-fold or 4.3-fold higher than those without HAase modification, respectively (Figure b). The enhanced tumor accumulation of HAase-modified cells should be attributed to the tumor ECM degrading HAase.
Figure 5

Biodistribution and tumor accumulation of engineered CAR-T cells in A20-bearing mice. (a) Ex vivo fluorescence images of excised main organs and tumors 24 h after administration of different CAR-T cells as indicated. (b) Qualification of fluorescence intensity of CAR-T cells in main organs and tumors. n = 3. (c) Staining of sectioned tumor tissues that were collected 24 h post injection to check the intratumor distribution of CAR-T cells. A20-bearing mice received iv injection of CFSE-labeled CAR-T cells (green). Tumor blood vessels were stained with α-CD31-PE (red). (d) Quantitative analysis of the infiltration depth of different cells in tumor tissues based on fluorescence pictures presented in panel c. Infiltration depth was defined as the distance of the CAR-T cell from the nearest blood vessel. n = 16 for I and III; n = 50 for II and IV. (e) Quantitative analysis of the numbers of different CAR-T cells per unit area in tumor tissues based on fluorescence pictures presented in panel c. n = 4. (f) Quantitative analysis of different CAR-T cells in tumor tissues using flow cytometry at 24 and 72 h. n = 3. Data are shown as the mean ± SD. Statistical significance was calculated via one-way ANOVA test. ∗, p < 0.05; ∗∗∗, p < 0.001; ∗∗∗∗, p < 0.0001.

Biodistribution and tumor accumulation of engineered CAR-T cells in A20-bearing mice. (a) Ex vivo fluorescence images of excised main organs and tumors 24 h after administration of different CAR-T cells as indicated. (b) Qualification of fluorescence intensity of CAR-T cells in main organs and tumors. n = 3. (c) Staining of sectioned tumor tissues that were collected 24 h post injection to check the intratumor distribution of CAR-T cells. A20-bearing mice received iv injection of CFSE-labeled CAR-T cells (green). Tumor blood vessels were stained with α-CD31-PE (red). (d) Quantitative analysis of the infiltration depth of different cells in tumor tissues based on fluorescence pictures presented in panel c. Infiltration depth was defined as the distance of the CAR-T cell from the nearest blood vessel. n = 16 for I and III; n = 50 for II and IV. (e) Quantitative analysis of the numbers of different CAR-T cells per unit area in tumor tissues based on fluorescence pictures presented in panel c. n = 4. (f) Quantitative analysis of different CAR-T cells in tumor tissues using flow cytometry at 24 and 72 h. n = 3. Data are shown as the mean ± SD. Statistical significance was calculated via one-way ANOVA test. ∗, p < 0.05; ∗∗∗, p < 0.001; ∗∗∗∗, p < 0.0001. To further study the intratumoral distribution, carboxyfluorescein succinimidyl ester (CFSE) labeled CAR-T cells were administrated into A20 tumor bearing mice. Tumors were excised and sectioned at 24 h post injection, followed by immunofluorescence staining of CD31, a biomarker of blood vessels. As shown in Figure c, immunofluorescence staining showed that more administrated cells entered the tumor site in mice treated with HAase@CAR-T or H-P@CAR-T than those treated with cells without HAase modification, which is consistent with the ex vivo fluorescence imaging study. It is worth noting that cells without HAase modification concentrated at the perivascular sites of the tumor, while HAase@CAR-T and H-P@CAR-T cells infiltrated the deep area of the tumor far from blood vessels. On the basis of these fluoresce images, we further quantified the infiltration depth (distance from the nearest blood vessel) and the number of CAR-T cells in tumor tissue. The infiltration depths of HAase@CAR-T and H-P@CAR-T cells were both about 20 μm, which was significantly deeper than that of cells without HAase modification (Figure d). By quantifying the cell number in tumor tissue, we found that HAase@CAR-T and H-P@CAR-T cells were about 5 times more abundant than those without HAase modification in tumor tissue (Figure e). In addition, we also quantified the numbers of different CAR-T cells infiltrating tumor tissues by flow cytometry. Cells (5 × 106) were injected intravenously into A20 tumor bearing mice. At 24 and 72 h, the tumors in each group were excised, weighed, and prepared in single-cell suspensions, and the number of tumor infiltrated CAR-T cells was quantified with flow cytometry. The numbers of HAase@CAR-T and H-P@CAR-T were much higher than those without HAase modification at both time points (Figure f). Besides, the numbers of all kinds of CAR-T cells in the tumor tissue increased at 72 h compared to 24 h, possibly due to their consistent infiltration or proliferation. Collectively, these results demonstrate that the modification of HAase improves the infiltration capability of CAR-T cells, which in turn enhances their accumulation in tumors.

Modified α-PDL1 Showed Favorable Effects on the Immunophenotype of Engineered CAR-T Cells

Having demonstrated that engineered CAR-T cells can effectively infiltrate tumor tissue, we next investigated their intratumoral fates in vivo. CAR-T cell phenotypes are critical for effective cancer therapy, and the tumor-killing activity is mainly attributed to CD8+ T cells,[34] so we first analyzed the phenotypes of CD8+ CAR-T cells in vivo by flow cytometry 72 h after administration (gating strategy shown in Figure S11). It has been reported that CAR-T cells that are more naïve and less differentiated correlate with enhanced therapeutic efficacy.[35,36] As shown in Figure a,b, α-PDL1-modified α-PDL1@CAR-T and H-P@CAR-T contained more CD44–CD62L+ naïve cells but fewer CD44+CD62L– effector memory cells compared with other groups, indicating α-PDL1 significantly reduced the loss of naïve cells and differentiation to CD44+ cells.
Figure 6

Modified α-PDL1 showed favorable effects on the immunophenotype fates of engineered CAR-T cells. (a) Representative flow cytometry plots of CAR-T cell phenotypes. (b) Frequency of naïve (CD44–CD62L+), effector memory (EM, CD44+CD62L–), and central memory (CM, CD44+CD62L+) T cells within CD8+ CAR-T cells inside A20 tumors. (c) Expression of activation marker CD69 was detected. (d–f) Expression of exhaustion markers LAG3, PD1, and TIM3. n = 3. Data are shown as the mean ± SD. Statistical significance was calculated via one-way ANOVA test. ∗, p < 0.05; ∗∗, p < 0.01; ∗∗∗, p < 0.001.

Modified α-PDL1 showed favorable effects on the immunophenotype fates of engineered CAR-T cells. (a) Representative flow cytometry plots of CAR-T cell phenotypes. (b) Frequency of naïve (CD44–CD62L+), effector memory (EM, CD44+CD62L–), and central memory (CM, CD44+CD62L+) T cells within CD8+ CAR-T cells inside A20 tumors. (c) Expression of activation marker CD69 was detected. (d–f) Expression of exhaustion markers LAG3, PD1, and TIM3. n = 3. Data are shown as the mean ± SD. Statistical significance was calculated via one-way ANOVA test. ∗, p < 0.05; ∗∗, p < 0.01; ∗∗∗, p < 0.001. We next detected the activation and exhaustion of tumor infiltrating CAR-T cells by flow cytometry. It is obvious from Figure c that α-PDL1-modified α-PDL1@CAR-T and H-P@CAR-T exhibited elevated expression of activation marker CD69 than other cells, indicating that α-PDL1 enhanced T cell activation. In addition, decreased expression of exhaustion markers LAG3, PD1, and TIM3 demonstrated α-PDL1 alleviated CAR-T cell exhaustion (Figure d–f). Collectively, α-PDL1 has a favorable effect on the in vivo immunophenotype of engineered CAR-T cells and is expected to enhance the antitumor activity.

Antitumor Effect of Engineered CAR-T Cells on A20 Tumors In Vivo

Encouraged by the enhanced infiltration capability and antitumor cytotoxicity of engineered CAR-T cells, we next studied their therapeutic efficacy on A20 tumors. On the seventh day after A20 tumor cell inoculation, mice were divided into five groups and received various formulations (Figure a). Mice in each group received three intravenous injections (iv) of indicated formulations at an equivalent dose of 5 × 106 cells on the first, fourth, and seventh days. As shown in Figure b, it is obvious from the tumor growth curves that all kinds of CAR-T cells could suppress tumor growth. Cells without modification showed the lowest tumor growth suppression (42.6% inhibition rate compared to control group). In contrast, H-P@CAR-T cells exhibited the most remarkable antitumor effect (95.1% inhibition rate) compared with other groups, which was attributed to their efficient tumor infiltration and alleviation of the tumor immunosuppressive microenvironment. HAase@CAR-T (76.3% inhibition rate) and α-PDL1@CAR-T (70.0% inhibition rate) showed moderate tumor growth suppression, demonstrating that the synergy of HAase and α-PDL1 plays an important role in the therapy. The photograph and weight of tumors confirmed the superior therapeutic efficacy of H-P@CAR-T (Figure c,d). The excised tumors were sectioned for immunohistochemical staining of Ki67, a proliferation marker protein. As shown in Figure S12, obvious positive staining of Ki67 was observed in the tumors treated with PBS or CAR-T, but less positive staining was found in the mice treated with HAase@CAR-T or α-PDL1@CAR-T. Most importantly, almost no positive staining was observed in H-P@CAR-T cell treated tumors.
Figure 7

In vivo therapeutic effect of engineered CAR-T cells in A20 solid tumor bearing mice. (a) Schedule of engineered CAR-T treatment in A20-bearing mice. Mice in each group received intravenous injection (iv) of different CAR-T cells as indicated. (b) Tumor growth curves for A20-bearing mice under different treatments. (e) Body weights of mice during treatments. (f) Tumor growth curves of A20 tumor bearing mice under different treatment. Mice in each group received single intravenous injection (iv) of different CAR-T cells (5 × 106 per mouse). (g) Tumor volumes of mice from each group on day 20. (h) Survival curves of A20 tumor bearing mice after treatments as indicated. (i) Serum levels of IFN-γ, TNF-α, and IL2 of mice from each group measured by ELISA. (b–i) n = 5 mice for each group. Data are shown as the mean ± SD. Statistical significance was calculated via one-way ANOVA test. ∗∗, p < 0.01; ∗∗∗, p < 0.001; ∗∗∗∗, p < 0.0001.

In vivo therapeutic effect of engineered CAR-T cells in A20 solid tumor bearing mice. (a) Schedule of engineered CAR-T treatment in A20-bearing mice. Mice in each group received intravenous injection (iv) of different CAR-T cells as indicated. (b) Tumor growth curves for A20-bearing mice under different treatments. (e) Body weights of mice during treatments. (f) Tumor growth curves of A20 tumor bearing mice under different treatment. Mice in each group received single intravenous injection (iv) of different CAR-T cells (5 × 106 per mouse). (g) Tumor volumes of mice from each group on day 20. (h) Survival curves of A20 tumor bearing mice after treatments as indicated. (i) Serum levels of IFN-γ, TNF-α, and IL2 of mice from each group measured by ELISA. (b–i) n = 5 mice for each group. Data are shown as the mean ± SD. Statistical significance was calculated via one-way ANOVA test. ∗∗, p < 0.01; ∗∗∗, p < 0.001; ∗∗∗∗, p < 0.0001. In vivo biosafety is a strong concern for CAR-T therapy. To evaluate the potential toxicity of H-P@CAR-T cells, body weights of the mice were recorded. Slight body weight loss was observed in all CAR-T treated groups compared with the PBS control group (Figure e), properly due to cytokine release syndrome (CRS). However, the weight loss was almost completely recovered on the 18th day, indicating the side effects were tolerable. After ending the tumor treatment experiment, we also harvested main organs for pathological analysis by hematoxylin and eosin (H&E) staining. No obvious organ damage was observed in the mice treated with all kinds of cells (Figure S13). These results demonstrated the biocompatibility and safety of H-P@CAR-T cells. Collectively, we proved the enhanced therapeutic efficacy on solid tumors and in vivo biosafety of H-P@CAR-T cells, which might have promising prospects for clinical applications. To further investigate whether engineered cells have long-term antitumor activity in vivo, we first measured the pharmacokinetics of different CAR-T cells (Figure S14a). Tumor-bearing mice received single injections (iv) of CAR-T cells, whose number in peripheral blood was monitored with flow cytometry every 2 days. As shown in Figure S14b, various types of CAR-T cells expanded rapidly and reached a peak around day 7, which was due to the stimulation by CD19+ B cells in peripheral blood. Importantly, the levels of α-PDL1-modified α-PDL1@CAR-T and H-P@CAR-T cells in peripheral blood were significantly higher than those of other groups and decreased more slowly, indicating that α-PDL1 modification can enhance the persistence of CAR-T cells. Next, we evaluated the antitumor effect of a single injection of CAR-T cells on A20 tumor and the survival of the mice was monitored up to 60 days. Tumor growth curves (Figure f) and tumor volumes on day 20 (Figure g) of mice showed that a single injection had significant inhibitory effects on tumor growth. CAR-T cells without modification showed a 27.7% inhibition rate of tumor growth, which was much lower than that of the treatment with three injections. In contrast, a single injection of H-P@CAR-T cells still exhibited the most significant antitumor effect (91.5% inhibition rate), which was comparable to that with three injections. Similarly, a single injection of both HAase@CAR-T (71.9% inhibition rate) and α-PDL1@CAR-T cells (67.5% inhibition rate) showed tumor growth inhibition rates comparable to those with three injections. These results implied that the engineered cells had more durable antitumor activity than those without modification. Survival curves of tumor-bearing mice in Figure h demonstrated that engineered cells including HAase@CAR-T, α-PDL1@CAR-T, and H-P@CAR-T could significantly extend the survival of mice. Most significantly, a single injection of H-P@CAR-T extended the survival of most mice to around 60 days. On the contrary, the mice in the CAR-T group all died before the 40th day, suggesting a long-term antitumor effect of the engineered CAR-T. In addition, we assessed the in vivo activity of different CAR-T cells by measuring the level of cytokines released in peripheral blood 7 days after CAR-T injection. The levels of IL-2, TNF-α, and IFN-γ in the H-P@CAR-T group were higher than that in other CAR-T groups (Figure i), demonstrating that HAase and α-PDL1 synergistically enhanced the antitumor activity of CAR-T cells in vivo. Although serum cytokines significantly increased after treatment, no mouse died at an early stage of treatment when CAR-T cells were highly activated and possessed obvious cytokine producing ability, which suggested the engineered cells did not induce severe CRS.

Engineered CAR-T Cells Showed Promising Therapeutic Effect on CT26 Colon Tumor In Vivo

To prove the general applicability of our engineered CAR-T in treating different solid tumors, we further prepared CAR-T cells targeting carcinoembryonic antigen (CEA) as well as the CT26 colon cancer cell line expressing CEA (CT26-CEA) (Figure a). To examine the specific cytotoxicity, CAR-T cells were incubated with CT26 or CT26-CEA tumor cells for 24 h. Compared with CT26 cells, CAR-T cells showed obvious cytotoxicity against CT26-CEA cells in a dose-dependent manner, demonstrating that they have specific cytotoxicity to CEA-positive targets (Figure b). The modification of HAase and α-PDL1 on CEA-targeted CAR-T is the same as the modification of CD19-targeted CAR-T, and the successful modification of HAase and α-PDL1 was confirmed by laser confocal microscopic observation (Figure S15).
Figure 8

In vivo therapeutic effect of engineered CAR-T cells in CT26 tumor bearing mice. (a) CEA expression of CT26 and CT26-CEA cells. (b) Lysis of CT26 and CT26-CEA tumor cells after incubation with the CEA-targeted CAR-T cells by measuring released LDH in medium. n = 3. (c) Tumor growth curves for CT26-CEA tumor bearing mice under different treatments. Mice in each group received intravenous injection (iv) of different CAR-T cells at day 0 (5 × 106 cells per mouse). (d) Tumor volumes of mice from each group on day 20. (e) Survival curves of the CT26 tumor bearing mice after treatments as indicated. (f) Body weight changes of mice after treatments as indicated. (g) Serum levels of IFN-γ, TNF-α, and IL2 of mice from each group as measured by ELISA. (c–g) n = 5 mice for each group. Data are shown as the mean ± SD. Statistical significance was calculated via one-way ANOVA test. ∗, p < 0.05; ∗∗, p < 0.01; ∗∗∗, p < 0.001; ∗∗∗∗, p < 0.0001.

In vivo therapeutic effect of engineered CAR-T cells in CT26 tumor bearing mice. (a) CEA expression of CT26 and CT26-CEA cells. (b) Lysis of CT26 and CT26-CEA tumor cells after incubation with the CEA-targeted CAR-T cells by measuring released LDH in medium. n = 3. (c) Tumor growth curves for CT26-CEA tumor bearing mice under different treatments. Mice in each group received intravenous injection (iv) of different CAR-T cells at day 0 (5 × 106 cells per mouse). (d) Tumor volumes of mice from each group on day 20. (e) Survival curves of the CT26 tumor bearing mice after treatments as indicated. (f) Body weight changes of mice after treatments as indicated. (g) Serum levels of IFN-γ, TNF-α, and IL2 of mice from each group as measured by ELISA. (c–g) n = 5 mice for each group. Data are shown as the mean ± SD. Statistical significance was calculated via one-way ANOVA test. ∗, p < 0.05; ∗∗, p < 0.01; ∗∗∗, p < 0.001; ∗∗∗∗, p < 0.0001. We next studied the therapeutic efficacy of engineered CEA-targeted CAR-T cells on CT26-CEA solid tumors. CT26-CEA tumor bearing mice in each group received a single administration of different CAR-T cells at an equivalent dose of 5 × 106 cells on day 0. As the tumor growth curves (Figure c) and tumor volume on day 20 (Figure d) showed, it is obvious that engineered cells including HAase@CAR-T, α-PDL1@CAR-T, and H-P@CAR-T inhibited the growth of CT26 tumors more effectively than those without modification. Most significantly, H-P@CAR-T exhibited the most remarkable antitumor effect in comparison with other engineered cells. The relatively higher survival rate of tumor-bearing mice treated with H-P@CAR-T also demonstrated a remarkable and long-term antitumor effect (Figure e). Surprisingly, no significant weight loss (less than 10%) was found in all CAR-T cell-treated groups compared with the PBS control group (Figure f). In addition, the levels of IL-2, TNF-α, and IFN-γ in peripheral blood 7 days after administration further demonstrated the enhanced antitumor activities of engineered cells, especially H-P@CAR-T cells (Figure g). These results demonstrate that our engineered cells can effectively treat the CT26-CEA solid tumor model, illustrating the general applicability of our engineered CAR-T cells for the treatment of solid tumors.

Discussion

Although CAR-T therapy has achieved exciting results in the treatment of hematological malignancies, the treatment of solid tumors has always been a difficulty needing to be faced and also a hot spot for preclinical research. This undesired efficacy of CAR-T therapy is most likely be hindered by multiple factors present inside solid tumors, of which inefficient infiltration of solid tumors and immunosuppressive tumor microenvironment are two important factors. In this landscape, many strategies have been developed to improve the efficacy of CAR-T cells in the treatment of solid tumors: (I) combining checkpoint blockade antibodies with CAR-T therapy;[18,19] (II) knocking out PD1 on T cells;[21,22] (III) local delivery;[10,37] (IV) equipping extracellular matrix (ECM) degrading enzymes or secretory checkpoint inhibitors by genetic engineering.[15,20] Although these strategies can improve the effect of CAR-T cells on treating solid tumors, there is still an urgent need for new strategies that can expand the clinical utility. In this work, we equipped CAR-T cells with ECM-degrading enzyme hyaluronidase (HAase) and checkpoint blockade antibody α-PDL1 via bioorthogonal click chemistry, which were often used for chemical modification of living cells without interfering native biochemical reactions. Compared with the genetic engineering methods, our biorthogonal click chemistry based strategy for CAR-T engineering does not require extra in vitro cell culture and is simple to perform, thus showing better clinical application potential. Hyaluronic acid (HA) is the major component of tumor ECM, and hyaluronidase (HAase)-modified nanomedicine has been proven to enhance tumor penetration.[26] In this work, CAR-T cells equipped with HAase exhibited enhanced infiltration capability, thereby enhancing their tumor accumulation and allowing them to deeply infiltrate solid tumors. Although cell proliferation could reduce the amount of HAase on the surface, tumor-infiltrating CAR-T cells can expand within the tumor, resulting in a significant increase of cell number within the tumor (Figure f). Meanwhile, modified α-PDL1 released from the engineered cells in the acidic tumor microenvironment was expected to reverse tumor-mediated immunosuppression by the intervening PD1/PDL1 pathway. Through in vitro antitumor experiments, we found that CAR-T cells equipped with α-PDL1 showed enhanced cytotoxicity to A20 tumor cells, which demonstrated the successful reversal of tumor-mediated immunosuppression by α-PDL1 (Figure ). In addition, immunological analyses of engineered cells revealed that α-PDL1 can alleviate T cell exhaustion in vivo (Figure d–f). Finally, CAR-T cells equipped with HAase or/and α-PDL1 exhibited an enhanced therapeutic effect on two solid tumor models compared with unmodified cells (Figures and 8). Most significantly, H-P@CAR-T exhibited significantly better antitumor activities than unmodified cells or HAase-/α-PDL1-engineered cells on two solid tumor models, demonstrating that the combination of enhanced infiltration capacity and reversal of tumor-mediated immunosuppression synergistically improved the therapeutic effect. It is worth noting that serum cytokine levels were lower in the CEA-CT26 model compared with the A20 model after H-P@CAR-T treatment (Figures i and 8g), indicating that the specificity of CAR-T target influenced CAR-T induced system cytokine release because expression of CEA was limited while CD19+ B cells were abundant in circulation. Therefore, improved tumor target specificity might be one critical factor to reduce CRS. Our study did not focus on target specificity, whereas low pH-responsive release of α-PDL1 from engineered cells inhibited off-target tissue damage, which may also help reduce CRS development. The body weight changes of mice (Figures e and 8f) and the H&E pictures of main organs after treatment (Figure S13) proved that H-P@CAR-T cells have no obvious side effects compared with unmodified cells, indicating our strategy for CAR-T engineering is safe and has clinical application potential. Although our strategy for cell engineering has been shown to alleviate the insufficient infiltration and tumor-mediated immunosuppression of CAR-T cells in solid tumors, it cannot address some of the problems of CAR-T therapy in solid tumors, such as limited targetable antigens and heterogeneous expression of tumor cell antigens.[38,39] In this work, our engineered CAR-T cells targeted CD19 (naturally expressed on the surface by B cells) and CEA (an artificial antigen) in A20 and CT26-CEA tumors, respectively. Although the result from these two models successfully demonstrated our conclusions, it differs from authentic solid tumors. Nevertheless, we believe that our engineered CAR-T cells could be used to treat authentic solid tumors in the future if equipped with a suitable CAR targeting tumor cell. In this work, we have provided a highly efficient, biocompatible, and simple strategy to equip CAR-T cells with functional molecules for enhanced solid tumor immunotherapy, which can be easily extended to other adoptive cellular therapies, such as tumor infiltrating lymphocytes, TCR-T cells, and NK cells. Taken together, our strategy for CAR-T engineering has obvious advantages, which makes us believe that it holds great potential for clinical application.
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1.  Early memory phenotypes drive T cell proliferation in patients with pediatric malignancies.

Authors:  Nathan Singh; Jessica Perazzelli; Stephan A Grupp; David M Barrett
Journal:  Sci Transl Med       Date:  2016-01-06       Impact factor: 17.956

Review 2.  Adoptive immunotherapy for cancer or viruses.

Authors:  Marcela V Maus; Joseph A Fraietta; Bruce L Levine; Michael Kalos; Yangbing Zhao; Carl H June
Journal:  Annu Rev Immunol       Date:  2014-01-09       Impact factor: 28.527

Review 3.  Tumor-Acidity-Cleavable Maleic Acid Amide (TACMAA): A Powerful Tool for Designing Smart Nanoparticles To Overcome Delivery Barriers in Cancer Nanomedicine.

Authors:  Jin-Zhi Du; Hong-Jun Li; Jun Wang
Journal:  Acc Chem Res       Date:  2018-10-15       Impact factor: 22.384

Review 4.  T-cell exhaustion in the tumor microenvironment.

Authors:  Y Jiang; Y Li; B Zhu
Journal:  Cell Death Dis       Date:  2015-06-18       Impact factor: 8.469

5.  Heparanase promotes tumor infiltration and antitumor activity of CAR-redirected T lymphocytes.

Authors:  Ignazio Caruana; Barbara Savoldo; Valentina Hoyos; Gerrit Weber; Hao Liu; Eugene S Kim; Michael M Ittmann; Dario Marchetti; Gianpietro Dotti
Journal:  Nat Med       Date:  2015-04-13       Impact factor: 53.440

Review 6.  Making CAR T Cells a Solid Option for Solid Tumors.

Authors:  Andrea Schmidts; Marcela V Maus
Journal:  Front Immunol       Date:  2018-11-08       Impact factor: 7.561

7.  The IFN-γ/PD-L1 axis between T cells and tumor microenvironment: hints for glioma anti-PD-1/PD-L1 therapy.

Authors:  Jiawen Qian; Chen Wang; Bo Wang; Jiao Yang; Yuedi Wang; Feifei Luo; Junying Xu; Chujun Zhao; Ronghua Liu; Yiwei Chu
Journal:  J Neuroinflammation       Date:  2018-10-17       Impact factor: 8.322

8.  Targeting IFNα to tumor by anti-PD-L1 creates feedforward antitumor responses to overcome checkpoint blockade resistance.

Authors:  Yong Liang; Haidong Tang; Jingya Guo; Xiangyan Qiu; Zecheng Yang; Zhenhua Ren; Zhichen Sun; Yingjie Bian; Lily Xu; Hairong Xu; Jiao Shen; Yanfei Han; Haidong Dong; Hua Peng; Yang-Xin Fu
Journal:  Nat Commun       Date:  2018-11-02       Impact factor: 14.919

Review 9.  Lessons learned from the blockade of immune checkpoints in cancer immunotherapy.

Authors:  Xiaolei Li; Changshun Shao; Yufang Shi; Weidong Han
Journal:  J Hematol Oncol       Date:  2018-02-27       Impact factor: 17.388

10.  Immunotherapy with engineered bacteria by targeting the STING pathway for anti-tumor immunity.

Authors:  Daniel S Leventhal; Anna Sokolovska; Ning Li; Christopher Plescia; Starsha A Kolodziej; Carey W Gallant; Rudy Christmas; Jian-Rong Gao; Michael J James; Andres Abin-Fuentes; Munira Momin; Christopher Bergeron; Adam Fisher; Paul F Miller; Kip A West; Jose M Lora
Journal:  Nat Commun       Date:  2020-06-01       Impact factor: 14.919

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