Abstract
The poor efficacy of chimeric antigen receptor T-cell therapy (CAR T) for solid tumor is due to insufficient CAR T cell tumor infiltration, in vivo expansion, persistence, and effector function, as well as exhaustion, intrinsic target antigen heterogeneity or antigen loss of target cancer cells, and immunosuppressive tumor microenvironment (TME). Here we describe a broadly applicable nongenetic approach that simultaneously addresses the multiple challenges of CAR T as a therapy for solid tumors. The approach massively reprograms CAR T cells by exposing them to stressed target cancer cells which have been exposed to the cell stress inducer disulfiram (DSF) and copper (Cu)(DSF/Cu) plus ionizing irradiation (IR). The reprogrammed CAR T cells acquired early memory-like characteristics, potent cytotoxicity, enhanced in vivo expansion, persistence, and decreased exhaustion. Tumors stressed by DSF/Cu and IR also reprogrammed and reversed immunosuppressive TME in humanized mice. The reprogrammed CAR T cells, derived from peripheral blood mononuclear cells (PBMC) of healthy or metastatic breast cancer patients, induced robust, sustained memory and curative anti-solid tumor responses in multiple xenograft mouse models, establishing proof of concept for empowering CAR T by stressing tumor as a novel therapy for solid tumor.
Keywords: stressing tumor cells, reprogramming CAR T cells, reprogramming TME, disulfiram/copper, irradiation, solid tumors
Introduction
Chimeric antigen receptor T-cell therapy (CAR T) has achieved unprecedented success as a novel immunotherapy with curative potential for certain hematologic cancers1. In contrast, results from clinical trials of CAR T for solid tumors have been disappointing2,3. Many factors contribute to the poor efficacy of CAR T for solid tumors. These include insufficient infiltration, expansion, persistence, and effector function, resulting in the ultimate exhaustion of adoptively transferred CAR T cells and an immunosuppressive tumor microenvironment (TME)4. In addition, intrinsic target antigen heterogeneity and/or antigen loss due to selective pressure by targeted therapies5,6 also contribute to the resistance of solid tumors to CAR T7,8. Significant efforts have been made to genetically engineer modified CAR T cells to promote more effective treatments for solid tumors. These include, but are not limited to, altering an array of tumor-specific CAR T cells to express (i) the p40 IL23 subunit to promote proliferation and survival9, (ii) the dominant-negative TGF-β receptor to promote proliferation10, (iii) the IL-8 receptor, CXCR1 or CXCR2, to enhance migration and persistence in the TME11, (iv) the anti-PD-L1 antibody, PD-1 dominant negative receptor, or PD-1–knockout alteration to block PD-1/PD-L1 signaling in CAR T cells12,13, and (v) immunostimulatory RNA RN7SL1 to activate RIG-I/MDA5 signaling and promote expansion and effector-memory differentiation of CAR-T cells. The cumulative effects of these alterations enhance myeloid cell and dendritic cell (DC) activity, reverse immunosuppressive TME conditions, and prime endogenous T cells to reject tumor cells with CAR-directed antigen loss14.
The percentage of CAR T cells with central memory phenotype (TCM) is highly concordant with longer-term in vivo persistence and favorable clinical outcomes in neuroblastoma15. Moreover, stem-like memory T cells (TSCM) have been shown to play a critical role in mediating early anti-leukemic responses and long-term immune surveillance against relapse of leukemia in patients for up to 3 years16. Importantly, sustained remission of chronic lymphocytic leukemia (CLL) has been associated with elevated frequency of CD19 CAR T cells with memory-like characteristics. More striking, the presence of an early memory T cell population in the pre-manufacturing leukapheresis product predicted, with 100% accuracy, responders vs. non-responders to CD19 CAR T therapy among CLL patients17. These results underscore an essential requirement for successful CAR T, namely, a high frequency of early memory CAR T cells. However, genetically engineering one or even several genes produces a limited effect, and it is difficult to engineer a genetic solution that simultaneously addresses all or most of the existing barriers to treating solid tumors. Moreover, even though the efficacy of these genetically modified CAR T cells is improved compared to the parental CAR T cells, they still yield low curative outcomes in preclinical models as well as in clinical trials for solid tumors2. Thus, we sought to develop a more broadly applicable non-genetic approach that could overcome many if not all the obstacles that prevent CAR T from achieving long-lasting complete solid tumor rejection.
Disulfiram (DSF) is an irreversible pan-aldehyde dehydrogenase (ALDH) inhibitor approved by the FDA in 1951 for treating alcoholism18. DSF is also a chelator and primarily complexes with Cu2+ (DSF/Cu)19. It is well established that DSF/Cu targets the p97 segregase adaptor nuclear protein localization protein 4 (NPL4), which is essential for protein turnover and involved in multiple regulatory and stress-response signaling pathways20. By blocking NPL4/p97, DSF/Cu activates endoplasmic reticulum (ER) stress via upregulating the inositol-requiring enzyme 1 alpha (IRE1α)–X-box-binding protein 1 (XBP1) axis, leading to autophagic apoptosis21. Recently, we found that by combining ionizing radiation (IR) with DSF/Cu, we induced more robust immunogenic cell death (ICD) of differentiated cancer cells and cancer stem cells than could be achieved with either method alone22. The molecular characteristics of ICD include the release or cell-surface expression of highly immune-stimulatory damage-associated molecular pattern molecules (DAMPs). These molecules stimulate antigen-presenting cells (APCs), which boost CAR T expansion and activity23 and activate dendritic cells (DCs), leading to subsequent development and activation of endogenous effector T cells and memory T cells22,24 (unpublished data). In addition, DAMPs function as ligands for pattern recognition receptors (PRRs) and PRR agonists, which promote expansion and effector-memory differentiation of CAR-T cells14. Therefore, we hypothesized that we could use DSF/Cu and IR–stressed target cancer cells to reprogram the CAR T cells into early-memory T cells with more robust expansion, activation, persistence, and effector function, while simultaneously converting the immunosuppressive TME to an immunostimulatory TME by inducing the “hot death” (ICD) of cancer cells and release of pro-inflammatory cytokines and chemokines.
This study investigated whether target cancer cells stressed by DSF/Cu and IR (DSF/Cu+IR) in vitro and in vivo could reprogram not only healthy donor or metastatic breast cancer patient donor–derived CAR T cells, but also the TME, thereby improving the efficacy of these effectors against solid tumors. This “one-punch” massive impact approach, which simultaneously addresses the multiple barriers to CAR T cell therapy, was assessed in vitro and in vivo by monitoring reprogrammed and non-reprogrammed CAR T cells for evidence of early memory T-phenotype switch, expansion, infiltration, effector function, and persistence; and by analyzing reprogrammed TME to identify the number of infiltrated immune cells, immune cell subtypes, cytokine/chemokine types, and levels. More importantly, CAR T cells targeting different antigens and a panel of stressed solid tumors were evaluated for curative therapeutic potential using various established tumor cell lines and patient-derived xenograft (PDX)–derived solid tumor mouse models.
Results
DSF/Cu and IR induces cellular stress responses in target cancer cells
Drawing on our previous work demonstrating that DSF/Cu+IR induces ICD by releasing membrane-bound and soluble factors that enhance immune cell functions3,25, we investigated a broad spectrum of stresses that can be induced by DSF/Cu+IR treatment of cancer cells. RNA-sequencing (RNA-seq) analysis revealed that genes related to ER, oxidative, chemical, and heat shock stress were upregulated in DSF/Cu+IR–treated vs. untreated target human breast cancer cells SUM159 (Fig1a). In addition, gene set enrichment analysis (GSEA) showed that genes of reactive oxygen species (ROS) and interferon-gamma (IFN-γ) response pathways were enriched in DSF/Cu+IR-treated target cells (Fig1b, Extended Fig1). Specifically, DSF/Cu+IR–induced ER stress in target cells was detected by increased p-eIF2a and p-IRE1α Fig1c) and by membrane translocation of ERp57, calreticulin (CRT), and HSP903,21,26 (Fig1d). As a result, DSF/Cu+IR upregulated an array of pro-inflammatory chemokine and cytokine genes (Fig1e), increased cell membrane expression of tumor necrosis factor (TNF)–related apoptosis-inducing ligand receptor 1 (TRAILR1) and TRAILR227,28 (Fig1f), and increased the CAR T cell targeted antigens, chondroitin sulfate proteoglycan 4 (CSPG4) and B7-H3 (Fig1g), all of which contributed to rendering the targeted cells more susceptible to CAR T cell-mediated killing29–31.
DSF/Cu+IR-stressed cancer cells drive the phenotypic switch of CAR T cells with early memory-like characteristics
Initially, we used RNA-seq analysis to assess changes in expression of memory-related genes in normal donor PBMC-derived B7-H3 CAR T cells co-cultured with DSF/Cu+IR–stressed target cells and compared them to B7-H3 CAR T cells co-cultured with untreated target cells (Fig2a). Increased expression of memory-related genes, such as BACH2, BATF, CCR5, CCR7, IL15, IL2RB, IL9, LEF1, and ZAP70, was detected in CAR T cells co-cultured with stressed target cells. Next, owing in part to the transcriptome changes, we looked at the percentage of central memory T cells (TCM), defined as CD45RA−CD62L+ cells, and found the percentage to be Significantly higher in normal donor PBMC-derived B7-H3 CAR T cells following repetitive co-culture in separate experiments with 3 types of stressed cancer cells (stressed repetitive co-culture) compared with non-stressed cancer cells (regular repetitive co-culture) (Fig2b, c, d). A similar result was obtained with normal donor PBMC-derived CSPG4 CAR T cells following repetitive co-culture with stressed vs. non-stressed tumor cells (Fig2e). Next, we confirmed the ability of DSF/Cu+IR–stressed target cancer cells to drive the phenotypic switch of CAR T cells to an early memory phenotype by examining B7-H3 CAR T cells derived from 20 breast cancer patients (Extended-Table1), which had been co-cultured with the stressed tumor cells. The percentage of preexisting stem-like memory T cells (TSCM), defined as CD45RA+CD62L+ cells, ranged from 0.61% to9.04% in PBMCs from these 20 patients. To facilitate this analysis, we categorized the findings into two groups, i.e., low TSCM in PBMC (low TSCM/PBMC<2%) and high TSCM PBMC (high TSCM/ PBMC>2%). The rate of PBMC-derived CAR T cells with TSCM phenotype was Significantly higher in both low and high TSCM groups following 48h of co-culture with DSF/Cu+IR–stressed target breast cancer cells (SUM159) compared with B7-H3 CAR T cells co-cultured with untreated non-stressed SUM159 cells. Notably, the stressed target cells drove the percentage of stem-like memory T cells (TSCM%) in CAR T cells derived from the low TSCM/PBMC group to levels as high as the non-reprogrammed CAR T cells derived from the high TSCM/PBMC group (Fig2f). These data indicate our novel approach to generating CAR T cell preparations, with increased cells of the TSCM% or TCM phenotype, may convert clinical non-responders to responders and further enhance anti-tumor response in responders to CAR T therapy. Finally, in agreement with CLL patients17, the levels of preexisting TSCM in PBMCs from the 20 breast cancer patients were highly correlated with the expansion capacity of their CAR T cells (Fig2g).
DSF/Cu+IR stressed-target cells promote functional switch in CAR T cells with profoundly enhanced in vitro expansion and cytotoxicity
Initially, we found higher levels of proliferation-related genes, such as IL2, IL27RA, MKI67, TNFSF13B, TNFSF14, TNFSF9, TP53, and T cell activation genes, such as CD80, IFNG, MTOR, ICOS, KLRK1, RORC, TNFSF4, and TNFSF8, in normal donor PBMC-derived B7-H3 CAR T cells following 24h of co-culture with DSF/Cu+IR-stressed-target cells (Fig3a). Next, robust and sustained in vitro CAR T cell expansion was detected in normal donor PBMC-derived B7-H3 CAR T cells following stressed repetitive co-culture with two different breast cancer cell lines and two different pancreatic ductal adenocarcinoma (PDAC) cell lines compared to repetitive co-culture with non-stressed tumor cells (Fig3b, c, Extended Fig 2a, b), as well as in normal donor PBMC-derived CSPG4 CAR T cells following repetitive co-culture with stressed vs. non-stressed triple negative breast cancer (TNBC) and head and neck squamous cell carcinoma (HNSCC) cell lines (Fig3d, Extended Fig2c). Then, strong and sustained cytotoxicity on a panel of different target cancer cells and increased release levels of IFN-γ and TNF-α were found in normal donor PBMC-derived B7-H3 CAR T cells or CSPG4 CAR T cells, respectively, following repetitive co-culture with stressed tumor cells (Fig3 e, f, g, h, i, Extended Fig2d, e, f). Moreover, following co-culture with DSF/Cu+IR–stressed target cells (SUM149), the profoundly enhanced proliferation and cytotoxic activity of CAR T cells was shown to be time-dependent, i.e., detected as early as 6h, and gradually became more apparent over 48h as evidenced by increased numbers of CAR T cells and fewer target cells (Fig3j). Finally, upregulation of TRAIL on CAR T cells co-cultured with DSF/Cu+IR–stressed TNBC and a similarly stressed PDAC cell line may have contributed to enhanced target cell cytolysis (Supplementary Fig1).
CAR T cells reprogrammed in vivo, using target cancer cells stressed by both intratumoral delivery of DSF/Cu and tumor localized IR, induced potent, sustained memory anti-solid tumor responses in multiple xenograft mouse models
Based on promising in vitro data, we performed in vivo tests of tumor-stressing via both intratumoral (i.t.) and IR delivery of DSF/Cu to determine if we could enhance the antitumor efficacy of normal donor derived-CAR T cells in mice bearing human cancer cell line-derived xenografts (Fig4a). In the initial experiments, we treated tumors locally with DSF/Cu+IR to reprogram the systemically administered B7-H3 CAR T cells–designated RP–CAR T cells. This resulted in complete tumor regression in 100% of NSG mice bearing orthotopic TNBC SUM159 cell line-derived xenografts (Fig4b). Strikingly, when these mice were rechallenged on day 40 by inoculating SUM159 cells into the opposite lateral mammary fat pad, the tumors were gradually rejected after initially forming in all mice. In contrast, the primary and rechallenged tumors continued to grow in the B7-H3 CAR T cell (non-reprogrammed or NRP–B7-H3 CAR T cells), the DSF/Cu+IR, DSF/Cu+IR + CD19 CAR T cell, and in the vehicle-treated control groups of mice (Fig4b). Moreover, DSF/Cu+IR + RP–B7-H3 CAR T cell-treated mice exhibited long-lasting, tumor-free survival.
To further test the strength and duration of the immunologic memory response, the RP–B7-H3 CAR T cell-treated tumor-free mice were rechallenged on day 88 with SUM159 cells for the second time and 60% (3/5) of the mice rejected the challenge, maintaining long-lasting, tumor-free survival (Fig4c). To understand at least part of the reason for this durable and potent memory antitumor response, we examined the phenotypes of the CAR T cells and infiltration into tumors RP–B7-H3 CAR T cell-treated tumor xenograft mice. We found that RP–B7-H3 CAR T cell-treated mice had higher levels of splenic TSCM (CD45RA+CD62L+), T (CD45RA−CD62L+CM) and tumor-infiltrated CAR T cells (CD3+CD45+), in addition to having fewer exhausted CAR T cells (CD3+CD45+CTLA-4+/PD-1+) and higher pro-inflammatory cytokines/chemokines in tumor tissues compared to mice treated with B7-H3 CAR T cells only (Fig4d, e, f, g). Next, we tested whether the same strategy could be used in vivo to boost the anti-solid tumor efficacy of RP–CAR T cells targeting a different antigen, i.e., CSPG4. (Fig4h) Likewise, the reprogrammed CSPG4 CAR T cell (RP–CSPG4 CAR T cell) treatment caused complete tumor regression of orthotopic TNBC SUM149 cell line-derived solid tumors in 100% of mice. In contrast, CSPG4 CAR T or DSF/Cu+IR + CD19 CAR T treatment inhibited tumor growth, but neither treatment caused complete tumor regression (Fig4i). In vivo expansion and persistence of CSPG4 CAR T cells (CD3+CD45+) was Significantly higher in mice treated with RP–CSPG4 CAR T cells compared to NRP–CSPG4 CAR T cells (Fig4j).
Last, we assessed whether the same strategy could boost the anti-tumor activity of B7-H3 CAR T cells in a PDAC xenograft model, namely, PDAC PANC-1 cell line-derived xenografts in mice (Extended Fig3a). Again, RP–B7-H3 CAR T treatment resulted in complete tumor regression in 100% of mice while NRP–B7-H3 CAR T treatment inhibited tumor growth Significantly but did not cause complete tumor regression (Extended Fig3b). In vivo expansion and persistence of B7-H3 CAR T cells at early (day 8) or late (day 92) time points after CAR T infusion of each mouse group were positively reflected in their antitumor efficacy (Extended Fig3b, c, d). RP–B7-H3 CAR T-treated mice had long-lasting tumor-free survival (Extended Fig3e). To further confirm the strength and duration of the immunologic memory response that was previously observed in the SUM159 mouse model (Fig4a, b, c, d, e, f), all tumor-free mice were rechallenged on day 135 with PDAC cells; 60% (3/5) of mice rejected the tumor rechallenge and remained long-lasting tumor-free (Extended Fig3e). Subsequently, we asked the question, if there is no accessible tumor for IR and /or i.t. injection of DSF/Cu, could this approach be applied ex vivo to enhance CAR T cell antitumor efficacy? To this end, we determined in vivo the anti-solid tumor activity of magnetic bead-sorted B7-H3 CAR T cells following 48h in vitro co-culture with PANC-1 cells pre-stressed by DSF/Cu and IR, designated ex vivo reprogrammed (ex vivo RP) CAR T cells (Fig4k). Sorted B7-H3 CAR T cells following 48h in vitro co-culture with untreated PANC-1 cells, designated ex vivo non-reprogrammed (ex vivo NRP) CAR T cells, and non-cocultured (untreated) B7-H3 CAR T cells served as controls.
The ex vivo RP–B7-H3 CAR T cells mediated complete tumor rejection in 100% of mice bearing orthotopic PDC-1 cell line-derived solid tumor xenografts, and the mice remained tumor-free for the length of the experiment. In comparison, treatment with ex vivo NRP and untreated B7-H3 CAR T cells resulted in Significant tumor growth inhibition or undetectable tumor by bioluminescence imaging (BLI) in only 40–60% of mice, respectively (Fig4l). In vivo expansion and persistence of B7-H3 CAR T cells was Significantly higher in mice treated by ex vivo RP B7-H3 CAR T cells compared to other groups (Fig4m). To assess whether ex vivo RP–B7-H3 CAR T cells could also induce an immunologic memory response equivalent to that obtained by i.t. injection of DSF/Cu and tumor localized IR, we rechallenged all mice with PANC-1 cells on day 145. A strong immunologic memory response was observed in 80% (4/5) of mice treated by ex vivo RP–B7-H3 CAR T cells, as measured by tumor rejection and/or remaining tumor-free, while 20% (1/5) developed tumors (Fig4n).
Tumors stressed by DSF/Cu and IR reverse immunosuppressive TME in humanized mice
Recently, we reported that DSF/Cu and IR–induced ICD of breast cancer cells22 can promote anti-tumor immune responses. In this study, we found that DSF/Cu+IR upregulated an array of pro-inflammatory chemokine and cytokine genes (Fig1e), increased tumor infiltration of CAR T cells (Fig4d), and decreased levels of exhausted CAR T cells in vitro and in vivo (Fig4e, Fig5a, Extended Fig4d, e, f, g, h). To gain knowledge about the effect of our approach in immunocompetent mice, we investigated DSF/Cu+IR–stressed tumor-induced TME changes in humanized mice bearing TNBC SUM159 cell-derived xenografts (Fig5b). When the average tumor reached approximately 350 mm3 in dimension, the DSF/Cu+IR+B7-H3 CAR T treatment was initiated. Owing to the rapid response to this therapy, the tumors shrank quickly in mice (Fig5c). To ensure a sufficient volume of tumor tissues would be available for subsequent analyses, specimens had to be collected on days 5 (n=5 mice/group) and 10 (n=5 mice/group) after CAR T cell infusion. At both time points, we found that DSF/Cu+IR+B7-H3 CAR T cell-treated mice had higher levels of infiltrated T cells (CD3+CD45+)(Fig5d), CAR T cells (Fig5e), and DCs (CD11b+) (Fig5f), as well as lower levels of exhausted CAR T cells (LAG-3+CTLA-4+) in the TME (Fig5g) compared to those found in mice treated with either IR+ B7-H3 CAR T or DSF/Cu+B7-H3 CAR T or B7-H3 CAR T. In agreement with what was found in the TME of NSG mice (Fig4g), a distinctive signature of upregulated pro-inflammatory cytokines and chemokines, including IL-1β, IL-6, IL-17A, GM-CSF, CCL11, CXCL-10, CCL3, CCL4 and CCL5, was detected at high magnitude protein levels in the TME of mice treated by DSF/Cu+IR+B7-H3 CAR T cells. In comparison, levels of the above distinctive signature of cytokines/chemokines were also upregulated but to a lesser extent in TME of mice treated with IR+B7-H3 CAR T cells or DSF/Cu+B7-H3 CAR T cells (Fig5h). These pro-inflammatory cytokines and chemokines may partially account for the reprogramming initiated by DSF/Cu+IR, enabling the conversion of an immunosuppressive TME to an immune supportive TME32,33.
Activation of the JAK/STAT signaling axis can be attributed to stressed cancer cell-induced phenotypic and functional switches of CAR T cells
Next, we sought to identify the main responder when CAR T cells encounter DSF/Cu+IR–stressed cancer cells. As indicated earlier, DSF/Cu+IR induces cell stress responses leading to upregulation of an array of pro-inflammatory chemokine and cytokine genes in target cancer cells (Fig1e). Of these, the following major changes attracted our attention: (i) genes leading to the activation of JAK/STAT signaling pathways (Extended Fig5a, b), (ii) time-dependent increases of IL-6 release, most noticeably detected in DSF/Cu+IR–stressed SUM159 cells (Extended Fig5c), as well as the predominant increase of IL-6 compared to other cytokines/chemokines in TME of NSG or NSG-humanized mice treated with DSF/Cu+IR (Fig4g +Fig5h), and (iii) the profound increase of IFN-γ released from CAR T cells following stressed repetitive co-culture with 2 types of target cells (Fig3h, i). It is well-established that IL-6 and IFN-γ are potent activators of the JAK/STAT pathway, which plays a pivotal role in cytokine receptor signaling and governance of T cell phenotype, proliferation, survival, and function34,35. These data prompted proof of principle experiments to determine if the stressed cancer cell-induced CAR T cell phenotype and functional switches are truly dependent on the IL-6-JAK/STAT signaling axis. When CAR T cells were co-cultured with DSF/Cu+IR–stressed SUM159 cells, they showed a higher level of activation of the JAK/STAT axis than when co-cultured with untreated SUM159 cells. This was indicated by upregulation in the CAR T cells of phosphorylated (p) JAK1, p-JAK2, p-STAT3, p-STAT5 and its target anti-apoptotic protein BCL-2 (Extended Fig5d). We then demonstrated that the JAK inhibitors (JAKi), ruxolitinib and/or momelotinib, decreased TCM% in B7-H3 CAR T cells in a dose-dependent manner (Extended Fig5e). More important, the JAK inhibitors completely abolished, in a dose-dependent fashion, the effects of increasing TCM% and expansion of B7-H3 CAR T cells by DSF/Cu+IR–stressed cancer cells (Extended Fig5e).
However, JAKi decreased the target cell killing capacity of B7-H3 CAR T cells, regardless of co-culture with non-stressed or stressed tumor cells (Extended Fig5f).
Robust and long sustained therapeutic responses against solid tumors by RP-B7-H3 CAR T derived from PBMC of patients with metastatic breast cancer
To address the clinical relevance of our approach to enhance the ability of CAR T to eradicate solid tumors, the therapeutic efficacy of RP–CAR T cells derived from metastatic breast cancer patients with 1.01–9.51% TSCM in PBMC (Extended Table 2) was evaluated. The RP–B7-H3 CAR T cells and NRP–B7-H3 CAR T cells derived from each patient (n=20) were compared for therapeutic responses in the orthotopic TNBC SUM159 mouse model (Fig6a). RP–B7-H3 CAR T cells showed more robust therapeutic responses than NRP–B7-H3 CAR T cells derived from the same patients (Fig6b). Twelve days after CAR T cell infusion, complete tumor rejection was observed in mice treated with RP–B7-H3 CAR T from patients with metastatic breast cancer; 16 days after CAR T cell infusion, complete tumor rejection was found in 40% (8/20) of mice treated by RP–B7-H3 CAR T, while 5% (1/20) of the mice treated with NRP–B7-H3 CAR T cells derived from the same set of patients (Fig6c) exhibited complete tumor rejection. In summary, the 8 mice treated with RP–B7-H3 CAR T with complete tumor rejection remained tumor-free and healthy, while the other 8 mice treated with NRP–B7-H3 CAR T, derived from the same PBMCs, died (Fig 6d).
It appears that the superior anti-tumor efficacy of RP–B7-H3 CAR T cells correlates with (i) increased CAR T cell expansion in vivo (Fig6e); (ii) more CAR TSCM and CAR TCM cells, together with fewer CAR TEM and CAR TEFF (Fig6f), and (iii) fewer TIM3+ exhausted CAR T cells (Fig6g). Importantly, significantly more CAR TSCM cells and CAR TCM cells were detected in peripheral blood of complete responder (CR) mice with complete tumor rejection than in partial responder (PR) mice with reduced tumor sizes in RP–CAR T cell-treated mice (Fig 6h). Consistent with this finding, in NRP–B7-H3 CAR T cell-treated mice, significantly more CAR TSCM cells and CAR TCM cells were detected in peripheral blood of mice with low tumor burden than in mice with high tumor burden (Fig6i). Overall, the percentage of TSCM in PBMCs and in CAR T cells favorably correlated with the in vivo anti-tumor response of these PBMC-derived CAR T cells (Extended Fig6a, b, c, d, e). Furthermore, B7-H3 CAR T cells derived from PBMC with low TSCM% (0.85%), obtained from a 75-year-old metastatic TNBC patient, were tested in a TNBC PDX mouse model (Fig6j, Supplementary Fig2a). To this end, B7-H3+TNBC PDX tissue pieces were orthotopically engrafted into a group of NSG mice (Supplementary Fig2b). Subsequent RP–B7-H3 CAR T cell treatment resulted in complete tumor rejection in 100% of the treated mice. In sharp contrast, treatment with NRP–B7-H3 CAR T cells showed non-significant tumor growth inhibition compared to untreated mice (Fig6k). In vivo expansion and persistence of B7-H3 CAR T cells was significantly higher in mice treated with RP–B7-H3 CAR T cells than with NRP–B7-H3 CAR T cells derived from this patient (Fig6i). Most important, the RP–B7-H3 CAR T cell-treated mice remained tumor-free for the length of the experiment (Fig6m).
Discussion
To overcome the therapeutic barriers of CAR T for solid tumors, genetically modified CAR constructs have been selectively developed to increase CAR T cell expansion, persistence, function, and infiltration as well as to decrease CAR T exhaustion and transform the immunosuppressive TME from a “cold” to “hot” state4. Given the challenges and limitations of genetically engineered CAR T for solid tumors, we bypassed this approach, focusing instead on nongenetic methods to stimulate “or stress” the targeted cancer cells. As a result of our investigation, we found that CAR T cells and TME could be Significantly and beneficially reprogrammed by exposure to DSF/Cu+IR–stressed cancer cells. The cellular stresses induced by DSF/Cu+IR caused immunogenic cell death (ICD) or “hot death” of targeted cancer cells accompanied by the release of highly immune stimulatory DAMPs, pro-inflammatory cytokines, and chemokines, which in turn, yielded reprogrammed (RP) CAR T cells and TME22 (Fig1e).
The RP–CAR T cells were superior to CAR T cells in many of the key characteristics required for potent antitumor efficacy. For example, healthy donor-derived RP–CAR T cells compared to non-reprogramed (NRP) CAR T cells showed upregulated expression of memory T cell-related genes (Fig2a) and higher percentages of TCM (Fig2b, c, d, e) or TSCM (Fig4f), leading to robust and sustained in vitro and in vivo CAR T cell expansion (Fig3b, c, d, e, f, g, Fig4j, Fig6e, Extended Fig2a, b, Extended Fig3c) and greater in vivo persistence15. (Fig4c, Fig6m, Extended Fig3e) This finding is consistent with a recent clinical report that early memory T cells play a determinant role in the clinical success of CD19 CAR T cells in CLL17. Second, RP–CAR T cells acquired higher levels of expression of proliferation-related and T cell activation genes (Fig3a), greater cytotoxicity (Fig3e, f, g, h, i, j, Extended Fig2d, e, f), and increased release of IFN-γ and TNF-α (Fig3h, i). Third, the combination of healthy donor-derived CAR T cells and local treatment of tumors with DSF/Cu+IR resulted in the complete response of primary cell line or patient-derived TNBC or PDAC xenografts in 100% of treated mice (Fig4b, i, Fig6k, Extended Fig3b). Furthermore, as an indication of long and sustained immunological memory responses against tumors from the persistent residual CAR T cells, first-time rechallenged TNBC tumors were rejected in 100% of mice and PDAC tumors in 60% of mice (Fig4b, Extended Fig3e), while even second-time rechallenged TNBC tumors were rejected in 60% of mice (Fig4c). Finally, DSF/Cu+IR–induced ICD of cancer cells and the subsequent release of DAMPs, upregulated pro-inflammatory cytokines, and chemokines led to activated immune responses in the TME, in the absence of toxicity (Fig5h)3,36. Thus, the TME was reversed from “cold” to “hot”, as evidenced by increased tumor infiltration of CAR T cells, decreased levels of exhausted CAR T cells in NSG (Fig4d, e) In humanized mice, elevated infiltrated T cells (CD3+CD45+) (Fig5d), CAR T cells (Fig5e) and DCs (CD11b+) (Fig5f), and fewer exhausted CAR T cells (LAG-3+CTLA-4+) in humanized mice (Fig5g).
In this study, we investigated the impact of in vivo reprogramming of B7-H3 CAR T cells via stressed tumor in TNBC-bearing mice by evaluating the efficacy of RP–B7-H3 CAR T cells derived from 20 patients with metastatic breast cancer, most of whom were heavily pretreated (Extended Table 2). RP–B7-H3 CAR T treatment resulted in 8/20 mice exhibiting a complete response (CR), accompanied by an increased number of early CAR T memory cells and fewer CAR T effector memory and exhausted CAR T cells, and in 12/20 mice exhibiting a partial response (PR), while NRP B7-H3 CAR T cell-treated mice exhibited 0/20 CR, accompanied by fewer CAR T early memory cells and increased CAR T effector memory cells and exhaustion. These results establish the correlation between increased CAR T early memory cells in complete vs partial responder mice and concur with the finding, as defined by the transcriptional profiles, that early vs. late memory CAR T cellular products from CLL are associated with a clinical response17. Most notably, when we treated mice bearing PDX with RP–B7-H3 CAR T cells derived from a metastatic TNBC patient, CR was obtained in 100% of mice, accompanied by increased CAR T cell in vivo expansion and long-lasting tumor-free survival. At the same time, compared to untreated mice, PR was observed with Significant but diminished survival in mice treated by NRP–B7-H3 CAR T derived from the same patient. These data support further optimization of the in vivo reprogramming CAR T strategy to increase the ability to induce CR, spiking promise that this type of CAR T cell can offer the clinical benefit of CR for metastatic breast cancer patients.
Initially, our data indicated that activation of the JAK/STAT signaling axis was at least partially attributed to the reprogramming of CAR T cells by stressed cancer cells (Fig3h, i, Fig4g, Fig5h, Extended Fig5a, b, c, d). This observation was further confirmed by activating the JAK/STAT pathway in CAR T cells. Co-culturing CAR T cells with stressed cancer cells and JAKi, ruxolitinib and/or momelotinib, completely abolished the DSF/Cu+IR-induced effects of increasing TCM% and cell expansion (Extended Fig5e). However, while JAKi inhibited the killing capacity of RP-CAR T cells, it also inhibited the killing capacity of NRP-CAR T cells to the same extent (data were not shown). Therefore, it appears that the mechanisms of reprogramming CAR T cells by stressed-cancer cells is not limited solely to activation of the JAK/STAT axis, warranting further investigation.
Importantly, DSF/Cu+IR–stressed cancer cells not only reprogrammed CAR T cells and TME, but also became more sensitive to killing by CAR T cells as the result of ICD, higher expression of TRAILR1 and TRAILR2, and upregulated target antigens (Fig1c, d, e, f). It is also worth noting that ex vivo reprogrammed CAR T cells presented potent antitumor activity in vivo, like that observed in vivo in tumor-bearing mice with the combination of intratumoral treatment with DSF/Cu+IR and systemic CAR T (Fig4l, m, n). The advantage of ex vivo RP–CAR T is that it can be used in cases where it is difficult to access the tumor for IR and/or i.t. injection of DSF/Cu. However, the overall effect of not having local delivery of DSF/Cu and IR, which puts stress on tumor cells and remodels the TME, remains unclear. A side-by-side study comparing both methods in terms of overall antitumor efficacy will be necessary to address this issue.
Notably, the data obtained from humanized mice demonstrate that DSF/Cu+IR–stressed cancer cells not only reprogram CAR T cells, but also enhance the infiltration of T and DC cells into tumors. These results imply that besides reprogramming CAR T cells, stressed cancer cells are highly likely to activate endogenous immune antitumor responses as the result of increased DAMPs and pro-inflammatory cytokines and chemokines present within the TME. Furthermore, when the reprogrammed CAR T cells target B7-H3, an immune checkpoint protein, even more pronounced anti-tumor immune responses are elicited31 (unpublished data).
Therefore, this approach may simultaneously empower both passive and active immunity. Passive immunity in the host patient is mediated by the adoptive transfer of CAR T- or T cell receptor (TCR)-engineered T cells or tumor-infiltrating lymphocytes (TILs). Active immunity occurs when endogenous T cells recognize a variety of tumor antigens to prevent immune escape from CAR T- or TCR-engineered T cell therapy aimed at one or a few tumor antigen target(s) which may be downregulated or lost6.
We have developed a nongenetic approach to reprogram and enhance the efficacy of CAR T cells and reverse the immunosuppressive TME by stimulating CAR T cells with DSF/Cu+IR–stressed target cancer cells. The reprogrammed CAR T cells acquire characteristics that promote therapeutic efficacy against solid tumors, including, but not limited to, robust cell expansion, long-term persistence, greater effector function, and decreased exhaustion. Intratumoral injection of DSF/Cu+ tumoral IR caused the release of elevated pro-inflammatory cytokines/chemokines, increased the infiltration of CAR T, T cells, and DC, and empowered the CAR T cells in the TME.
This unique “one-punch” massive impact approach overcomes most of the major obstacles that currently impede CAR T efficacy against solid tumors, yielding effectors that completely reject an array of distinct types of solid tumors, including TNBC, PDAC, and TNBC PDX, as observed in 100% of the mice tested in this study. In addition, the persistent residual RP–CAR T cells demonstrate long-term immunological memory responses as 60–100% of treated mice were protected from first-time tumor rechallenges and 60% were protected from second tumor rechallenges. Thus, stressing target cancer cells by DSF/Cu+IR is a timely approach with substantial translational potential for enhancing the efficacy of CAR T of solid tumors and inducing long-term immunological anti-tumor memory responses.
Methods
Cell lines and cell culture
Human triple negative breast cancer (TNBC) cell lines, SUM149 and SUM159, were acquired from the Duke Comprehensive Cancer Center Cell Culture Facility and Asterand Bioscience, Inc., respectively. The human pancreatic ductal adenocarcinoma (PDAC) cell line PANC-1 and the head and neck squamous cell carcinoma (HNSCC) cell line PCI-13 were purchased from American Type Culture Collection (ATCC). The human PDAC cell line PDAC-6 was established at MGH using ascites fluid from a patient with metastatic PDAC37. In some cases, the cell lines were stably transduced with m-cherry and firefly luciferase. The SUM149 and SUM159 cell lines were cultured in RPMI 1640 medium supplemented with 10% FBS. The PANC-1 and PDAC-6 cell lines were cultured in Dulbecco’s Modified Eagle’s Medium (DMEM) supplemented with 10% FBS. All cells were cultured at 37°C in 5% CO2 humidified atmosphere.
Antibodies
R-Phycoerythrin AfiniPure F(ab’) Fragment Goat Anti-Mouse IgG (H+L) (cat#115-116-146), Allophycocyanin (APC) AfiniPure F(ab’) Fragment Goat Anti-Mouse IgG (H+L) (cat#115-136-146), Fluorescein (FITC) AfiniPure F(ab’) Fragment Goat Anti-Mouse IgG (H+L) (cat# 115-096-146) were obtained from Jackson ImmunoResearch. CD3-PE-Cy7 (cat#300420), CD8-APC-Cy7 (cat#344714), CD4-FITC (cat#357406), CD45RA-PE-Cy5 (cat#304110), CD45RO-APC (cat#304210), CD62L-PE (cat#304806), CD27-BV421 (cat#302824), CD45RA-FITC (cat#304148), PD1 (CD279) -APC (cat#329907), CCR7 (CD197) -BV421 (cat#353208), CD261 (DR4, TRAIL-R1)-PE (cat#307206), CD262 (DR5, TRAIL-R2)-APC (cat#307408), CD95 (Fas)-BV785 (cat#305646), CD127 (IL-7Rα)-PE (cat#351304), TNFα-PE (cat#502909), IFNγ-APC (cat#502512), Granzyme B-Pacific Blue (cat#515408), CD62L-BV711 (cat#304860), CD253 (TRAIL)-PE (cat#308206), CD45-PE (cat#368510), CD366 (Tim-3)-Pacific Blue (cat#345042), CD279 (PD-1)-PerCP/Cyanine5.5 (cat#367410), CD152 (CTLA-4)-BV605 (cat#369610), CD25-PE/Dazzle™ 594 (cat#302646), CD276 (B7-H3)-APC (cat#351005), CD11b-Pacific Blue (cat#301315), CD33-PerCP/Cyanine5.5 (cat#366616), CD163-BV785 (cat#333632) and Zombie Red™ Fixable Viability Kit (cat# 423110) were purchased from Biolegend. ATF-6 (cat#65880S), Phospho-eIF2α (Ser51) (cat#3398), Bcl-2 (cat#15071S), β-Actin (#3700), STAT5 (cat#25656S), Phospho-Stat5 (Tyr694) (cat#9356S), STAT3 (cat#9139S), JAK1 (cat#3344S), Phospho-Jak2 (Tyr1007/1008) (cat#3771), Phospho-Stat3 (Tyr705) (cat#9145), Phospho-Jak1(Tyr1034/1035) (cat#74129) and Jak2 (cat#3230) were obtained from Cell Signaling Technology. CD3-FITC (cat#555339) and CD28 (cat# 556620) were purchased from Biosciences, and CD3 (cat#130-093-387) from Miltenyi Biotec. Phospho-IRE1 alpha (Ser724) (cat# PA585647) and FITC-Labeled Human B7-H3 (4Ig) / B7-H3b Protein (cat# B7B-HF2E7-25ug) were obtained from Invitrogen and Acro Biosytems, respectively.
Animals
The 6-to-8-week-old NSG mice were obtained from the Massachusetts General Hospital (MGH) COX7 animal facility or Jackson laboratory. The MGH Institutional Animal Care and Use Committee approved the animal studies described herein.
In vitro stressing of target cells
Tumor cells were plated in 6-well culture plates at a density of 3×105 cells/well (SUM149, SUM159) or 4×105 cells/well (PANC-1, PDAC-6) in 2 mL RPMI 1640 medium containing 10% FBS and permitted to grow overnight. The following day, DSF/Cu (0.2 μM/1 μM) or DMSO was added and cultured for 24h, followed by 12 Gy IR. The cells were then resuspended, washed twice with PBS, and set up immediately in 6-well plates at a density of 5×105 cells/well. After 6–12 h, the tumor cells were co-cultured with CAR T cells at different E:T ratios.
IR treatment in vitro and in vivo
For the in vitro treatment, cells were irradiated with a single dose of IR (12 Gray (Gy)). For tumors treated in vivo, one 12 Gy fraction was delivered locally to each mouse over the area of the tumor, while the remaining body was shielded with a lead drape. The X-RAD 320 Biological Irradiator (Precision X-ray Inc., CT) was used for these experiments.
Flow cytometry
For cell surface staining, the cells were harvested, washed twice with PBS, and then incubated with an appropriate amount of fluorochrome-conjugated or unconjugated antibodies for 20 min or 60 min at 4°C in 2% PBB (2% BSA in PBS buffer). Fcγ fragment-specific secondary antibodies were used accordingly if necessary. For intracellular staining, the surface-stained cells were fixed and permeabilized in Fixation/Permeabilization solution (BD Biosciences) for 20 min at 4°C followed by two washings with Perm/Wash buffer (BD Biosciences). After intracellular staining was performed, the cells were incubated for 30 min at 4°C in Perm/Wash buffer followed by two more washings with Perm/Wash buffer. To measure the number of CAR T cells that had infiltrated tumor tissues and spleens, the tumor samples were digested with collagenase IV (0.5 mg/ml; Sigma-Aldrich) and deoxyribonuclease (DNase) I (0.2 mg/ml; Sigma-Aldrich) for 30 min at 37°C. Tumor digests and spleens were filtered through 70 μm cell strainers to obtain a single-cell suspension. ACK lysing buffer (Themo Fisher) was used to lyse the red blood cells according to the manufacturer’s instructions. Viability dye was used in each sample. The cells were analyzed by flow cytometry using the LSR II cytometer (BD Biosciences) or BD Accuri C6 flow cytometer (BD Biosciences). The data were analyzed with FlowJo software.
In vitro co-culture experiments
The stressed target cells were resuspended, washed with PBS twice, and set up immediately in 6-well culture plates at a density of 5×105 cells/well (SUM149, SUM159, PDAC-6, PCI-13) or 7.5×106 cells/well (PANC-1) in 2mL complete CAR T medium31. After 6–12 h, the tumor cells were co-cultured with CAR T cells at the indicated E:T ratios.
Repetitive co-culture assay
The tumor cells (untreated, DSF/Cu+IR-stressed) were seeded in 6-well plates at a density of 5×105 cells/well (SUM149, SUM159, PDAC-6, PCI-13) or 7.5×106 cells/well (PANC-1) in 2 mL of complete CAR T medium and grown overnight. Then, 2.5×105 CAR T cells (E: T=1:3 or 1:2) were added to the tumor cells. The CAT T cells eliminated 100% of the tumor cells within 2–5 days of co-culture (Round 1, R1). Next, the CAR T cells were collected and resuspended in 2 mL complete CAR T medium and transferred to wells containing either 5×105 (SUM149, SUM159, PDAC-6, PCI-13) or 7.5×105 (PANC-1) untreated tumor cells that had been seeded 12–14 h previously, and the co-culture was continued for 3 days. (Round 2, R2). The procedure was repeated once more (Round 3, R3), and the cells remaining from R3 were then collected for analysis of exhaustion-related markers (PD-1, LAG-3, Tim3).
Phenotypic analysis of CAR T cells
To evaluate the phenotypic transformation of CAR T cells in vitro, cells from R1 of the repetitive co-culture assay were resuspended and washed twice with PBS. Thereafter, the cells were cultured in 2mL complete CAR T medium supplemented with 5 ng/mL IL-15 and 10 ng/mL IL-7. After 3 days, the cells were collected and stained with CD3, CD4, CD8, CD62L, and CD45RA antibodies and then analyzed using flow cytometry.
In vitro cytotoxicity and expansion of CAR T cells
Cells collected at the end of the co-culture assays were stained to quantify tumor cells with B7-H3-specific mAb376.96 and CAR T cells with CD3-specific antibody. Counting beads (Thermo Fisher Scientific) were used based on the manufacturer’s instructions to obtain the absolute numbers of both residue tumor cells and CAR T cells.
ELISA
Cell culture supernatants were quantified for secreted cytokines (TNF-α, IFN-γ) according to the manufacturer’s instructions using ELISA kit (Biolegend).
Quantification of cytokines and chemokines
Human cytokines and chemokines found in the cell culture supernatant and tumor tissue homogenates were quantified using a customized 25-plex Luminex panel (Thermo Fisher Scientific) containing the following analytes: CCL11, GM-CSF, Granzyme B, HSP60, IFNα, IFNγ, IL-1, IL-3, IL-4, IL-6, IL7, IL8 (CXCL8), IL-9, IL-10, IL-12p70, IL-15, IL-17A, IL-18, CXCL10, M-CSF, CXCL9, CCL3, CCL4, CCL5, TNFα. Data were acquired on a MAGPIX instrument and analyzed using the ProcartaPlex analysis app.
Preparation of cell lysate
The tumor tissue was dissected and washed briefly with chilled PBS. The samples were placed in vessels containing lysis buffer, RIPA buffer (Thermo Fisher Scientific) and 1/50 (vol./vol.) of protease inhibitor (Thermo Fisher Scientific), and then disrupted for 30s in the homogenizer. The cultured cells were detached and washed briefly with chilled PBS before adding the lysis buffer. All samples were placed on ice for 30 min and then centrifuged for 20 min to collect the supernatant without disturbing the debris. The protein concentration was quantified using a Pierce BCA Protein Assay Kit (Thermo Fisher Scientific) according to the manufacturer’s instructions.
Western blotting
Performed as described38.
RNA extraction
Total RNA was extracted using RNeasy Mini Kit (Qiagen) according to the manufacturer’s instructions.
Bulk RNA-seq and GSEA analysis
The total RNA content of both tumor cells and CAR T cells was extracted as described above, and the library was prepared by LC Sciences company. Raw data from both tumor cells and CAR T cells was normalized in three replicates for GSEA analysis. GSEA was performed using the GSEA_4.1.0 software (Broad Institute) on genes that differentially expressed on non-stressed vs. stressed-SUM159 cells; or NRP B7-H3 CAR T cells vs. RP B7-H3 CAR T cells.
Immunohistochemistry
Performed as described39.
Generation of CAR T cells
CAR T cells were generated as described31.
Isolation of reprogrammed CAR T cells
CAR T cells were co-cultured with DSF/Cu and IR-stressed tumor cells for 48 h to allow for reprogramming. The CAR T cells were subsequently isolated from the co-cultures as CD3+ T cell Dynabeads (catalog# 11033, Themo Fisher) via positive selection. The magnetic bead isolated CAR T cells were used in Western blotting or ex vivo experiments in mice.
In vivo solid tumor mouse models
Five distinct xenograft models were used in this study:
TNBC cell line-derived orthotopic mouse model: SUM149 (2×106) or SUM159 (2×106) tumor cells in 100 μL FBS-free RPMI medium were injected into the mammary fat pads of 6-to-8-week-old female NSG mice. When the tumors became palpable, the mice were divided into groups using a stratified randomization strategy (n = 5 mice/group) and treated as indicated.
PDAC xenograft mouse model: PANC-1 (2×106) tumor cells in 100 μL FBS-free RPMI medium were injected subcutaneously (s.c.) into the right thigh of 8-to-9-week-old male NSG mice. When the tumors became palpable, the mice were divided into groups using a stratified randomization strategy (n = 5 mice/group) and treated as indicated.
PDAC orthotopic xenograft mouse model: mcherry/Luc-PANC-1 (2×106) tumor cells were orthotopically engrafted into the pancreas of 8-to-9-week-old male NSG mice. Tumors were measured by bioluminescence imaging (BLI) and divided into groups using a stratified randomization strategy (n=5 mice/group).
Humanized mouse bearing TNBC orthotopic tumor model: SUM159 (2×106) tumor cells in 100 μL FBS-free RPMI medium were injected into the mammary fat pads of 6-to-8-week-old female NSG mice. After 21 days, the mice were divided into groups using a stratified randomization strategy (n = 10 mice/group) and humanized by i.v. injection of 2×107 human PBMCs per mouse from a heathy donor, and the mice were treated with the same donor-derived CAR T as indicated.
TNBC-PDX orthotopic mouse model (Model ID: TM00096, The Jackson Laboratory, 1st passage): A 3×3×3 mm piece of in vivo expanded PDX was orthotopically engrafted into the mammary fat pad of 6-to-8-week-old female NSG mice. When tumors developed, the mice were divided into groups using a stratified randomization strategy (n ≥ 6 mice/group) and treated as indicated. Tumor volumes were measured using a digital caliper and calculated as described31.
In vivo stressing of tumors by intratumoral delivery of DSF/Cu and IR
Treated tumors were intratumorally injected (i.t.) at multiple sites with 200 μL DSF/Cu (1.5 μM/1 μM) or vehicles (DMSO/PBS), followed by 12 Gy local IR on the next day.
Systemic CAR T therapy
Freshly thawed and expanded (within 2–3 days) CAR T cells were injected i.v. into the mouse tail vein once at the indicated dose.
Detecting phenotypes and expansion of CAR T in vivo
Fifty μL of peripheral blood was collected once a week from each mouse, after which red blood cells were removed using ACK lysing buffer (Themo Fisher). T cells were assessed with CD3 and CD45 antibodies or CD62L, CD45RA, PD-1, LAG3, and Tim3 antibodies and quantified using CountBright Absolute Counting Beads (Thermo Fisher) on a BD LSRII flow machine.
Statistics
Statistical analysis was performed using GraphPad Prism v.8 software. The one-way ANOVA was used to determine the comparisons among three or more groups at a certain condition. The student’s t-test was applied to the comparison between two groups. Additional two-way ANOVA was adopted as specified. Overall survival was calculated using Kaplan-Meier methods and log-rank tests. All data are expressed as mean ± standard deviation (SD) unless specified otherwise. Results were obtained from two or three independent experiments. Differences between groups were considered Significant when p<0.05.
Acknowledgements
We are grateful to our patients for their contributions to this research work. This work was supported by grants R01CA226981(XW) and, in part, by W81XWH-20-PCRP-IDA (W81XWH2110433, XW). Y.W was supported, in part, by China Scholarship Council (No. 201906260241).
Footnotes
Competing interests
The authors declare no competing interests.
Supplementary Files
References
- 1.Kalos M., et al. T cells with chimeric antigen receptors have potent antitumor effects and can establish memory in patients with advanced leukemia. Sci Transl Med 3, 95ra73 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Schaft N. The Landscape of CAR-T Cell Clinical Trials against Solid Tumors-A Comprehensive Overview. Cancers (Basel) 12(2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Patel U., et al. CAR T cell therapy in solid tumors: A review of current clinical trials. EJHaem 3, 24–31 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Majzner R.G. & Mackall C.L. Clinical lessons learned from the first leg of the CAR T cell journey. Nat Med 25, 1341–1355 (2019). [DOI] [PubMed] [Google Scholar]
- 5.Greaves M. Evolutionary determinants of cancer. Cancer Discov 5, 806–820 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Majzner R.G. & Mackall C.L. Tumor Antigen Escape from CAR T-cell Therapy. Cancer Discov 8, 1219–1226 (2018). [DOI] [PubMed] [Google Scholar]
- 7.O’Rourke D.M., et al. A single dose of peripherally infused EGFRvIII-directed CAR T cells mediates antigen loss and induces adaptive resistance in patients with recurrent glioblastoma. Sci Transl Med 9(2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Krenciute G., et al. Transgenic Expression of IL15 Improves Antiglioma Activity of IL13Ralpha2-CAR T Cells but Results in Antigen Loss Variants. Cancer Immunol Res 5, 571–581 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Ma X., et al. Interleukin-23 engineering improves CAR T cell function in solid tumors. Nat Biotechnol 38, 448–459 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Kloss C.C., et al. Dominant-Negative TGF-beta Receptor Enhances PSMA-Targeted Human CAR T Cell Proliferation And Augments Prostate Cancer Eradication. Mol Ther 26, 1855–1866 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Jin L., et al. CXCR1- or CXCR2-modified CAR T cells co-opt IL-8 for maximal antitumor efficacy in solid tumors. Nat Commun 10, 4016 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Grosser R., Cherkassky L., Chintala N. & Adusumilli P.S. Combination Immunotherapy with CAR T Cells and Checkpoint Blockade for the Treatment of Solid Tumors. Cancer Cell 36, 471–482 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Hu B., et al. Nucleofection with Plasmid DNA for CRISPR/Cas9-Mediated Inactivation of Programmed Cell Death Protein 1 in CD133-Specific CAR T Cells. Hum Gene Ther 30, 446–458 (2019). [DOI] [PubMed] [Google Scholar]
- 14.Johnson L.R., et al. The immunostimulatory RNA RN7SL1 enables CAR-T cells to enhance autonomous and endogenous immune function. Cell 184, 4981–4995 e4914 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Louis C.U., et al. Antitumor activity and long-term fate of chimeric antigen receptor-positive T cells in patients with neuroblastoma. Blood 118, 6050–6056 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Biasco L., et al. Clonal expansion of T memory stem cells determines early anti-leukemic responses and long-term CAR T cell persistence in patients. Nat Cancer 2, 629–642 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Fraietta J.A., et al. Determinants of response and resistance to CD19 chimeric antigen receptor (CAR) T cell therapy of chronic lymphocytic leukemia. Nat Med 24, 563–571 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Johansson B. A review of the pharmacokinetics and pharmacodynamics of disulfiram and its metabolites. Acta Psychiatr Scand Suppl 369, 15–26 (1992). [DOI] [PubMed] [Google Scholar]
- 19.Lewis D.J., Deshmukh P., Tedstone A.A., Tuna F. & O’Brien P. On the interaction of copper(II) with disulfiram. Chem Commun (Camb) 50, 13334–13337 (2014). [DOI] [PubMed] [Google Scholar]
- 20.Skrott Z., et al. Alcohol-abuse drug disulfiram targets cancer via p97 segregase adaptor NPL4. Nature 552, 194–199 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Zhang X., et al. Induction of autophagy-dependent apoptosis in cancer cells through activation of ER stress: an uncovered anti-cancer mechanism by anti-alcoholism drug disulfiram. Am J Cancer Res 9, 1266–1281 (2019). [PMC free article] [PubMed] [Google Scholar]
- 22.Sun T., et al. Induction of immunogenic cell death in radiation-resistant breast cancer stem cells by repurposing anti-alcoholism drug disulfiram. Cell Commun Signal 18, 36 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Ma L., et al. Enhanced CAR-T cell activity against solid tumors by vaccine boosting through the chimeric receptor. Science 365, 162–168 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Tesniere A., et al. Molecular characteristics of immunogenic cancer cell death. Cell Death Differ 15, 3–12 (2008). [DOI] [PubMed] [Google Scholar]
- 25.Showalter A., et al. Cytokines in immunogenic cell death: Applications for cancer immunotherapy. Cytokine 97, 123–132 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Xu Q., Chen C., Lin A. & Xie Y. Endoplasmic reticulum stress-mediated membrane expression of CRT/ERp57 induces immunogenic apoptosis in drug-resistant endometrial cancer cells. Oncotarget 8, 58754–58764 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Dufour F., et al. TRAIL receptor gene editing unveils TRAIL-R1 as a master player of apoptosis induced by TRAIL and ER stress. Oncotarget 8, 9974–9985 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Stohr D., et al. Stress-induced TRAILR2 expression overcomes TRAIL resistance in cancer cell spheroids. Cell Death Differ 27, 3037–3052 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Singh N., et al. Impaired Death Receptor Signaling in Leukemia Causes Antigen-Independent Resistance by Inducing CAR T-cell Dysfunction. Cancer Discov 10, 552–567 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Yin L., Li Y., Ren J., Kuwahara H. & Kufe D. Human MUC1 carcinoma antigen regulates intracellular oxidant levels and the apoptotic response to oxidative stress. J Biol Chem 278, 35458–35464 (2003). [DOI] [PubMed] [Google Scholar]
- 31.Zhang Y., et al. Targeting Radiation-Resistant Prostate Cancer Stem Cells by B7-H3 CAR T Cells. Mol Cancer Ther 20, 577–588 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Berraondo P., et al. Cytokines in clinical cancer immunotherapy. Br J Cancer 120, 6–15 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Lai K.P., Yamashita S., Huang C.K., Yeh S. & Chang C. Loss of stromal androgen receptor leads to suppressed prostate tumourigenesis via modulation of pro-inflammatory cytokines/chemokines. EMBO Mol Med 4, 791–807 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Bousoik E. & Montazeri Aliabadi H. “Do We Know Jack” About JAK? A Closer Look at JAK/STAT Signaling Pathway. Front Oncol 8, 287 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Kagoya Y., et al. A novel chimeric antigen receptor containing a JAK-STAT signaling domain mediates superior antitumor effects. Nat Med 24, 352–359 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Ahmed A. & Tait S.W.G. Targeting immunogenic cell death in cancer. Mol Oncol 14, 2994–3006 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Ting D.T., et al. Single-cell RNA sequencing identifies extracellular matrix gene expression by pancreatic circulating tumor cells. Cell Rep 8, 1905–1918 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Zhang G., et al. Improving the Therapeutic Efficacy of Sorafenib for Hepatocellular Carcinoma by Repurposing Disulfiram. Front Oncol 12, 913736 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Wang X., et al. Functional characterization of an scFv-Fc antibody that immunotherapeutically targets the common cancer cell surface proteoglycan CSPG4. Cancer Res 71, 7410–7422 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]