Abstract
Adoptive cell transfer (ACT) of purified naive, stem cell memory, and central memory T cell subsets results in superior persistence and antitumor immunity compared with ACT of populations containing more-differentiated effector memory and effector T cells. Despite a clear advantage of the less-differentiated populations, the majority of ACT trials utilize unfractionated T cell subsets. Here, we have challenged the notion that the mere presence of less-differentiated T cells in starting populations used to generate therapeutic T cells is sufficient to convey their desirable attributes. Using both mouse and human cells, we identified a T cell–T cell interaction whereby antigen-experienced subsets directly promote the phenotypic, functional, and metabolic differentiation of naive T cells. This process led to the loss of less-differentiated T cell subsets and resulted in impaired cellular persistence and tumor regression in mouse models following ACT. The T memory–induced conversion of naive T cells was mediated by a nonapoptotic Fas signal, resulting in Akt-driven cellular differentiation. Thus, induction of Fas signaling enhanced T cell differentiation and impaired antitumor immunity, while Fas signaling blockade preserved the antitumor efficacy of naive cells within mixed populations. These findings reveal that T cell subsets can synchronize their differentiation state in a process similar to quorum sensing in unicellular organisms and suggest that disruption of this quorum-like behavior among T cells has potential to enhance T cell–based immunotherapies.
Introduction
Adoptive cell transfer (ACT), the ex vivo expansion and reinfusion of antigen-specific (Ag-specific) T cells, represents a potentially curative treatment for patients with advanced cancer (1–4) and viral-reactivation syndromes (1, 5, 6). Recent progress in the ability to genetically redirect patient-derived peripheral blood T cells toward tumor and viral-associated antigens by modification with a T cell receptor (TCR) or chimeric antigen receptor (CAR) has greatly simplified the generation of therapeutic T cells (7–10). Given the clinical efficacy of T cell therapy combined with the ability of T cells to be manufactured according to standardized procedures, ACT is now poised to enter mainstream clinical practice. However, fundamental questions remain regarding the optimal source, expansion, and quality of therapeutic T cells used for transfer.
In mice, ACT of naive CD8+ T cell–derived cells (TN-derived cells) exhibits a superior capacity to expand, persist, and treat cancer compared with normalized numbers of memory T cell–derived cells (TMem cells) (11, 12). Preclinical human studies have confirmed that TN-derived cells maintain higher levels of the costimulatory marker CD27 and the lymphoid homing markers CD62L and CCR7; they also retain longer telomeres (12–15). Each of these parameters has correlated with the likelihood that patients will obtain an objective clinical response following ACT (15–17). Despite these findings, the majority of current T cell therapy clinical trials do not specifically enrich for defined T cell subsets, but rather utilize unfractionated T cell populations (2). As TN cells are in the circulation of most cancer patients (13, 18), the following question arises: is the presence of TN cells in the initial population used to generate therapeutic T cells sufficient to convey their desirable attributes, or is physical separation of TN cells from antigen-experienced subsets required to unleash the full therapeutic potential of TN-derived cells (19, 20)? Prior investigations revealed that TN cells form homotypic clusters during T cell priming that can influence their subsequent maturation (21, 22). However, whether antigen-experienced populations directly interact with and influence naive cell differentiation is unknown.
Using human and mouse T cells, we describe here a previously unrecognized T cell–T cell interaction whereby TMem cells directly influence TN cell differentiation during priming. This process, which we term precocious differentiation, synchronizes the behavior of TN-derived cells with TMem cells, resulting in accelerated functional, transcriptional, and metabolic differentiation of TN cell progeny. Precocious differentiation was cell-dose, contact, and activation dependent. Mechanistically, the phenomenon was mediated by nonapoptotic Fas signaling, resulting in activation of Akt and ribosomal S6 protein (S6), kinases responsible for cellular differentiation and metabolism (23). Consequently, induction of Fas signaling in the absence of TMem cells enhanced differentiation and impaired antitumor immunity, while isolation of TN cells prior to priming or blockade of Fas signaling prevented TMem cell–induced precocious differentiation and preserved the antitumor efficacy of TN-derived cells. Collectively, our results reveal that unleashing the therapeutic potential of TN-derived cells for adoptive immunotherapy necessitates disruption of intercellular communication with TMem cells, a finding with direct implications for the design and execution of ACT clinical trials.
Results
TMem augment naive cell phenotypic maturation during ex vivo priming.
We sought to determine whether antigen-experienced CD8+ T cells influence the differentiation of TN-derived progeny. To indelibly track the fate of TN cells, we primed congenically distinguishable Thy1.1+ pmel-1 CD8+ TN cells (CD44loCD62L+), which recognize an epitope derived from the melanoma-associated Ag gp100 (24), alone or in a 1:1 mixture with Ly5.1+ TMem cells. To generate TMem cells, we adoptively transferred Ly5.1+ pmel-1 T cells into WT Ly5.2+ hosts and vaccinated recipient mice with a gp100-encoding recombinant vaccinia virus (rVV-gp100) to generate Ag-experienced CD8+ T cells in vivo. Twenty-eight days later, Ly5.1+CD8+ T central memory cell (TCM cell; CD44hiCD62L+) and T effector memory cell (TEM cell; CD44hiCD62L–) subsets from vaccinated mice were isolated by FACS sorting (Figure 1A). Naive pmel-1 cells were subsequently expanded alone or in the presence of TCM or TEM cells using anti-CD3/CD28 antibodies and IL-2, which is similar to many current human ACT protocols (15, 25, 26).
Following expansion, the progeny of isolated TN cells had differentiated into all 3 antigen-experienced subsets, including T stem cell memory cells (TSCM cells; CD44loCD62L+CD122+Sca-1+), TCM cells, and TEM cells (refs. 27, 28, Figure 1B, and Supplemental Figure 1; supplemental material available online with this article; doi:10.1172/JCI81217DS1). Strikingly, we found that the presence of TMem cells during TN cell priming caused a significant accumulation of TEM cells and an attrition of TSCM cells (Figure 1C). Both TCM and TEM cell subsets were equally capable of augmenting the phenotypic maturation of TN-derived progeny, demonstrating that this prodifferentiation capacity was a property of TMem cell subsets in general. These findings were not attributable to differences in cell expansion, were not TCR specific, and occurred regardless of growth and cytokine conditions tested (Supplemental Figures 2 and 3). Augmented TN cell differentiation was also observed when a CD4-containing bulk TMem cell population was used, although the magnitude of change was less than that observed using CD8+ TMem cells (Supplemental Figure 4).
As the frequency of circulating TMem cells to TN cells can vary widely in patients (18, 29, 30), we evaluated the dose dependency of TMem cell–induced phenotypic maturation of TN cells. We activated TN cells alone or in titrated ratios with a bulk (CD44+) TMem cell population. Similar to results using fractionated TCM and TEM cell subsets, we found that priming TN cells in a 1:1 mixture with bulk TMem cells caused an increase in the TEM cell population and a corresponding loss in TSCM and TCM cells (Figure 1, D and E). As the ratio of TMem to TN cells was increased, we measured a progressive enhancement in the differentiation of TN-derived progeny. We conclude that the presence of TMem cells during TN cell priming ex vivo caused dose-dependent phenotypic maturation of TN-derived cells.
TMem cause precocious differentiation of naive cells.
Having established that TMem cells augment the phenotypic maturation of TN cells during priming, we next evaluated whether TMem cells influence gene transcription and effector functions of TN-derived progeny. We again primed Ly5.1+ TN pmel-1 cells alone or in a 1:1 ratio with bulk in vitro–differentiated Ly5.2+ TMem cells and confirmed that the progeny of TN cells expanded with TMem cells (TN-derived, mix) were significantly skewed toward TEM cells and away from TSCM cells compared with TN cells primed alone (TN-derived, alone) (Figure 2, A and B). To determine whether CD62L loss on TN-derived cells was attributable to genetic downregulation rather than proteolytic cleavage, we reisolated Ly5.1+ TN-derived cells following expansion by FACS sorting and performed quantitative PCR (qPCR). We found that expression of selectin L (Sell), the gene encoding CD62L as well as other TN cell–associated lymphoid-homing and costimulatory markers, including Ccr7 and Cd27, was significantly downregulated in TN-derived cells expanded with TMem cells relative to TN cells expanded alone (Figure 2C). Additionally, we found that TN-derived cells primed with TMem cells were more functionally differentiated, as evidenced by increased granzyme B content (Figure 2D) and enhanced IFN-γ secretion following stimulation with either PMA/ionomycin or hpg10025–33 peptide (Figure 2, E and F).
To globally assess the influence of TMem cells on the differentiation of TN-derived progeny, we performed gene-expression analyses of reisolated cells at rest and at serial time points following activation. Hierarchical clustering demonstrated that within 18 hours, TN cells primed with TMem cells had a gene-expression profile more closely related to TMem cells than to TN cells (Figure 2G). We found that 139 and 259 transcripts were differentially expressed (fold change [FC] > 2, positive FDR [pFDR] < 0.05) between TN cells primed alone or with TMem cells at 18 hours and 96 hours, respectively (Supplemental Tables 1 and 2). In contrast, only 0 and 10 transcripts were differentially expressed by these criteria in TMem cells expanded alone or with TN cells at these time points (Supplemental Table 3), indicating that the predominant outcome of this T cell–T cell interaction was TMem cell–induced changes in TN cells. Examination of specific genes revealed that key naive and memory-associated transcription factors (TFs), including transcription factor 7 (Tcf7) (27), Kruppel-like factor 2 (Klf2) (31), and forkhead box O1 (Foxo1) (32), were significantly downregulated in TN cells primed with TMem cells compared with TN cells primed alone (Figure 2H). Conversely, genes encoding effector-associated TFs and molecules, such as T-box 21 (Tbx21) (33), PR domain containing 1, with ZNF domain (Prdm1) (34), and granzyme B (Gzmb) were differentially overexpressed in TN cells primed with TMem cells (Figure 2I). Collectively, these data revealed that TMem cells globally altered the differentiation program of TN cells.
Finally, to assess the impact of TMem cell–induced differentiation of TN-derived cells on antitumor efficacy, we adoptively transferred TN cells primed alone or with TMem cells into mice bearing 10-day established s.c. B16 melanomas. We found that the expansion, persistence, and antitumor efficacy of TN-derived cells were all significantly impaired in mice receiving TN-derived cells primed with TMem cells compared with TN-derived cells primed alone (P = 0.009) (Figure 2, J and K). We conclude that the presence of TMem cells during TN cell priming ex vivo caused enhanced phenotypic, functional, and transcriptional differentiation of TN-derived cells relative to TN cells primed alone, resulting in impaired antitumor efficacy. Henceforth, we will refer to this process as precocious differentiation.
TMem cells cause precocious differentiation of TN cells in vivo.
Having established that TMem augment naive cell differentiation during ex vivo expansion, we next asked whether TMem cells also influence TN cell differentiation and antitumor efficacy in vivo after adoptive cotransfer. In prior studies, naive cell expansion and differentiation were impaired when limited numbers (5 × 102) of TN cells were transferred into hosts containing a 100- to 1,000-fold greater frequency of TMem cells (35). Under these conditions, TN cells are numerically outcompeted by TMem cells for limited antigen presented by professional antigen-presenting cells, thereby limiting their priming and differentiation (36). However, whether TN cell differentiation and antitumor efficacy is influenced when large numbers of cells typically used in adoptive immunotherapies are cotransferred in conjunction with TMem cells has not been previously evaluated. Therefore, we adoptively transferred (1 × 105) Thy1.1+ TN pmel-1 cells alone or in combination with (3 × 105) FACS-sorted, vaccine-induced, Ly5.1+ pmel-1 TMem cells into sublethally irradiated Ly5.2+ hosts bearing 10-day established B16 melanoma tumors (Figure 3A). In addition to cells, recipient mice also received rVV-gp100 vaccination and exogenous IL-2. We found that both the expansion and persistence of TN cell–derived progeny were significantly impaired when cotransferred with TMem cells (Figure 3B). In contrast, the recall response of cotransferred TMem cells was not affected compared with TMem cells transferred alone (Supplemental Figure 5). These findings were not due to a failure of TN cells to become primed in vivo, as a significantly larger proportion of the TN-derived population cotransferred with TMem cells lost CD27 expression and acquired the senescent marker killer cell lectin-like receptor subfamily G1 (KLRG1) at the conclusion of the immune response compared with TN cells transferred alone (Figure 3C). Importantly, both tumor regression and animal survival were significantly impaired (P < 0.05) in mice receiving TN cells and TMem cells together compared with TN cells alone (Figure 3D). We conclude that TMem cells can cause precocious differentiation and impaired antitumor efficacy of TN cell–derived progeny in vivo following adoptive cotransfer.
FasL-Fas interactions mediate precocious differentiation.
We next sought to elucidate what TMem cell factor or factors caused precocious differentiation. We determined the phenomenon was, in addition to being cell-dose dependent, also cell-contact dependent and activation dependent and could not be reproduced using supernatant transfers from restimulated TMem cells (Supplemental Figure 6). Accordingly, we hypothesized that an activation-induced, cell-surface molecule on TMem cells that can mediate costimulatory-like effects was responsible. Several members of the TNF superfamily satisfy these criteria (37). Therefore, we interrogated our microarray analysis comparing gene expression in TMem cells and TN cells for TNF superfamily members uniquely overexpressed in activated TMem cells to generate a list of candidate ligands. Among the 19 known TNF superfamily ligands (37), only Fasl met criteria (log2 FC > 2, P < 0.01) for being differentially expressed in restimulated TMem cells (Figure 4A and Supplemental Table 4). To determine whether TCM and TEM cells are similarly poised to express FasL following activation, we performed ChIP-seq analysis to assess histone H3 methylation dynamics at the Fasl locus within resting TN, TCM, and TEM cell subsets. Consistent with previous reports (38), we found that TN cells exhibited strong deposition of the repressive epigenetic modification trimethylation of histone 3 at lysine 27 (H3K27me3) and minimal deposition of the activating H3K4me3 mark (Figure 4B). In contrast, both TCM and TEM cells acquired permissive H3K4me3 marks and lost all detectable H3K27me3 repressive marks. Correlated with these changes, mRNA expression of Fasl was significantly increased in contemporaneously evaluated TCM and TEM cells compared with TN cells (Figure 4C). Notably, there were no significant differences in Fasl gene expression between TCM and TEM cell subsets. We confirmed that TMem cells but not TN cells are poised to express surface FasL at a protein level by performing FACS analysis for this molecule and its corresponding receptor, Fas, on both cell types at rest and 18 hours after activation (Figure 4, D and E).
FasL-Fas interactions can induce apoptosis through Fas-mediated activation of caspase-8 (39). However, Fas signaling can also perform nonapoptotic functions in a variety of tissues, including promotion of T cell costimulation (40), hepatocyte regeneration (41), tumor growth and invasiveness (42), and neuronal differentiation (43). To determine whether FasL can mediate precocious differentiation, we primed Ly5.1+ TN cells alone or in a 1:1 mixture with Ly5.2+ TMem cells in the presence of a blocking antibody against FasL (αFasL) or isotype control (IgG) and measured changes in T cell differentiation. Provision of αFasL during TN cell priming with TMem cells significantly but incompletely limited precocious differentiation (Figure 5, A–C). Consistent with FACS data demonstrating a paucity of FasL expression on recently activated TN cells, we found no significant differences in the composition of TN cell–derived progeny when isolated naive cells were primed with αFasL compared with IgG (Supplemental Figure 7). As antibody blockade may be incomplete, we complimented these findings by genetic means using CD8+ TN cells derived from Fas-deficient lpr mice (44). Whereas WT TN cells underwent augmented differentiation when primed with TMem cells, TN cells from lpr mice were completely protected from this phenomenon (Figure 5, D and E). We conclude that precocious differentiation results from a contact-dependent interaction in which TMem cell–provided FasL engages Fas expressed on TN cells.
Nonapoptotic Fas signaling mediates precocious differentiation.
To evaluate whether FasL-delivered signals were sufficient to induce precocious differentiation, we primed TN cells in the absence of TMem cells with titrated amounts of recombinant FasL oligomerized through a leucine zipper domain (lz-FasL) (45). We found that lz-FasL caused a dose-dependent increase in the differentiation of TN cell–derived progeny, as evidenced by an increased frequency of TEM cells and enhanced IFN-γ release upon restimulation (Figure 6, A and B). Moreover, we observed commensurate changes in the expression of key differentiation-associated genes, including Sell, Il7ra, Klf2, transferrin receptor (Tfrc), and Gzmb, as the concentration of lz-FasL was titrated up (Supplemental Figure 8). Consistent with the apoptosis-inducing function of FasL, exposure to lz-FasL resulted in reduced cell yields, particularly at concentrations greater than 33 ng/ml (Figure 6C). Despite this effect, we measured a significant increase in the relative numbers of TEM cell phenotype/IFN-γ+ cells following lz-FasL exposure at 33 ng/ml compared with vehicle control (Figure 6D). Importantly, the increase in absolute numbers of TEM cells occurred despite this subset’s enhanced susceptibly to lz-FasL–induced apoptosis relative to other subsets (Supplemental Figure 9). The differential death of TEM cells was not attributable to differences in surface Fas expression between memory subsets (Supplemental Figure 10), a finding consistent with published studies of Fas expression on human TMem cell subsets (45). Collectively, these data suggested that skewing toward the TEM cell phenotype could not be accounted for solely by selective culling of TSCM and TCM cells.
We next sought to determine whether Fas-mediated cellular differentiation and cell death could be uncoupled using a genetic approach. Previous work established that Fas-induced apoptosis requires posttranslational palmitoylation of a cysteine residue located within the proximal cytoplasmic region of the receptor (46, 47). In cell lines, transfection of a Fas construct substituting a valine for a cysteine residue at the 194 position (C194V) prevented both Fas incorporation into membrane rafts and Fas-dependent apoptosis (46). Based on these data, a transgenic mouse expressing the FasC194V variant was generated, backcrossed to the lpr background (henceforth, FasC194Vlpr/lpr), and used to derive CD8+ T cells for further analyses. Whereas lz-FasL caused dose-dependent death of WT CD8+ T cells, FasC194Vlpr/lpr CD8+ T cells were significantly protected from apoptosis induction similarly to lpr CD8+ T cells (Figure 6E). However, unlike cells from the lpr mouse, which were also protected from lz-FasL–mediated precocious differentiation, FasC194Vlpr/lpr CD8+ T cells underwent enhanced conversion to a TEM cell phenotype similar to that of WT cells following priming with 40 ng/ml lz-FasL (Figure 6, F and G). We conclude that a nonapoptotic Fas signal delivered by FasL is sufficient to induce the augmented differentiation of recently activated TN cells.
Precocious differentiation is associated with induction of Akt signaling.
We next sought to determine what signals downstream of Fas contribute to precocious differentiation. Multiple signal transduction pathways have been implicated in nonapoptotic Fas signaling (39), including the phosphatidyl 3-kinase/protein kinase B (also known as Akt) pathway (42, 43). Given the established role of Akt in CD8+ T cell effector differentiation (48), we focused our attention on the induction of phospho-Akt (pAkt) and phospho-ribosomal protein S6 (pS6), a kinase downstream of Akt signaling in T cells (23). Compared with resting TN cells, naive cells activated for 24 hours with CD3/CD28-specific antibodies exhibited augmented staining with phospho-specific antibodies against both the T308 and S473 activation residues on Akt as well as pS6 (Figure 7, A–C). Importantly, when Ly5.2+ TN cells were primed in the presence of congenically distinguishable Ly5.1+ TMem cells, we observed a significant increase in the staining intensity of pAkt T308, pAkt S473, and pS6 in TN-gated cells. To establish whether increased pAkt content in TN cells primed with TMem cells leads to commensurate changes in gene expression, we returned to our microarray analyses. Within 18 hours of TN cell activation in the presence of TMem cells, we observed significant alterations in the expression of known targets of Akt signaling, including Il7r (49), sphingosine-1-phosphate receptor 1 (S1pr1) (50), Tfrc (51), hexokinase-2 (Hk2) (52), and solute carrier family 2 (Slc2a1, also known as Glut1) (ref. 53 and Figure 7D). Based on these data, we next tested to determine whether provision of lz-FasL to activated TN cells was sufficient to augment pAkt in the absence of TMem cells. Whereas pAkt T308 was undetectable in resting CD8+ TN cells, we found that lz-FasL caused dose-dependent augmentation of this phosphorylated residue 24 hours following activation with CD3/CD28-specific antibodies (Figure 7E). Consistent with the augmented expression of Slc2a1 and Hk2 in TN cells primed with TMem cells combined with the capacity of Akt activation to enhance Glut1 surface expression (53), we measured increased accumulation of the fluorescent d-glucose analog 2-(N-[7-nitrobenz-2-oxa-1,3-diazol-4-yl]amino)-2-deoxyglucose (2-NBDG) in TN cells activated with lz-FasL (Figure 7, F and G). This indicated a relatively enhanced conversion to a glycolytic metabolism in TN cells exposed to lz-FasL (54). Finally, to determine whether Akt signaling directly contributed to precocious differentiation, we primed CD8+ TN cells in the presence of 50 ng/ml of lz-FasL with or without Akt inhibitor VIII (AktI), a well-validated allosteric Akt inhibitor (48, 55). We found that AktI significantly limited lz-FasL–mediated precocious differentiation, as evidenced by a reduced accumulation of TEM cell phenotype and IFN-γ+ cells (Figure 7, H–J). We conclude that TMem cell and lz-FasL–induced precocious differentiation of TN cells is associated with augmented Akt pathway activation. Pharmacologic inhibition of Akt can partially block the precocious differentiation phenotype.
Human TMem cells induce precocious differentiation of TN-derived cells.
To evaluate the relevance of precocious differentiation for human ACT trials, we next tested to determine whether human TMem cells influence the differentiation of TN cells during ex vivo cell expansion. First, we established the frequency of TMem cells compared with TN cells in the circulation of healthy donors (HD) or patients with metastatic melanoma (Mel) and diffuse large B cell lymphoma (DLBCL), 2 malignancies where ex vivo–expanded adoptively transferred T cells have entered clinical trials (56–58). We found that the TMem cell to TN cell ratio was 1 or greater in the majority of cases, with a median value of 1.5, 2.3, and 18.8 in HD, Mel patients, and DLBCL patients, respectively (Figure 8A). The increased ratio in DLBCL patients was likely due to the influence of prior lymphodepleting chemotherapy (30). To track the fate of human TN cell–derived progeny in mixed cultures, we isolated TN (CD8+CD45RA+CD45RO–CCR7+) and TMem (CD8+CD45RA–CD45RO+) cells from the same donor and labeled these subsets with alternative fluorescent membrane dyes (Figure 8B and Supplemental Figure 11A). Labeled T cells were expanded alone or together in titrated ratios using CD3/CD28-specific antibodies and IL-2. Although this approach did not allow for indelible cell tracking, we found we could reliably distinguish each population for up to 6 days.
Four days following activation, TN cells and TMem cells lost membrane dye intensity, indicating both subsets had undergone cell division. To determine whether human TN cells expand at the same rate in the presence or absence of memory cells, we calculated the proliferation index (PI) of TN-derived cells primed alone or with different ratios of TMem cells. We discovered that human TMem cells caused a dose-dependent increase in TN cell proliferation (Supplemental Figure 11B). To ascertain whether TMem cells influence TN cell differentiation independently of cell proliferation, we gated on TN-derived cells that had undergone an equivalent number of cell divisions (Figure 8C). We then evaluated the coordinate expression of naive-associated phenotypic markers (CD27, CCR7, CD45RA) by flow cytometry using a Boolean gating strategy. We found across all donors tested that, when normalized for division history, there was a significant dose-dependent loss of TN cells (CD27+CCR7+CD45RA+) as the ratio of TMem cells was increased (P = 0.0015) (Figure 8D). Similar conclusions were reached regardless of the generation number evaluated (data not shown). We conclude that human TMem cells augmented both the proliferation and differentiation of TN-derived cells. Further, we conclude that the rate of differentiation is enhanced even when division history is normalized.
In mice, we discovered that TMem cell–induced precocious differentiation of TN cells was mediated by FasL. To determine whether enhanced Fas signaling augmented the differentiation of human CD8+ T cells, we primed peripheral blood CD8+ T cells from HDs with CD3/CD28-specific antibodies and IL-2 alone or in the presence of titrated concentrations of lz-FasL. After 9 to 10 days, we found that all expanded cells had assumed a CD45RAlo/–CD45RO+ memory phenotype (data not shown). Using coexpression of CD27 and CCR7 (29), we characterized the ratio of TCM (CD8+CD45RO+CCR7+CD27+) to TEM cells (CD8+CD45RO+CCR7–CD27–). Consistent with experiments using mouse T cells, we found that augmenting Fas signaling using lz-FasL in HD cells caused a significant and dose-dependent accumulation of the more-differentiated TEM cell subset and an attrition of TCM cells (Figure 9, A and B). These changes were not attributable to differences in proliferation, as T cells expanded in lz-FasL and vehicle control diluted a membrane-associated dye similarly (Supplemental Figure 12A). Moreover, analysis of the surface phenotype of T cells that had undergone an identical number of divisions revealed that lz-FasL exposure resulted in a more-differentiated phenotype compared with cells expanded in vehicle control (Supplemental Figure 12B). Consistent with the apoptosis-inducing functions of Fas, lz-FasL resulted in a reduced cell yield at concentrations of 20 ng/ml or more (Supplemental Figure 12C). However, at lower concentrations of lz-FasL, we measured differences in the distribution of T cell subsets while expanding similar numbers of cells. To exclude that the observed changes in human CD8+ T cell subset composition were due to selective TCM cell killing, we evaluated the induction of apoptosis (as measured by coordinate 7-AAD and annexin V staining) in TCM and TEM cell subsets following stimulation with titrated amounts of lz-FasL (Figure 9, C and D). Similar to both our mouse data and previously reported data in human CD4+ T cells (45), we found that TEM cells were far more sensitive to Fas-induced apoptosis compared with the TCM cell subset. Collectively, we conclude that human TN cells, like mouse TN cells, undergo accelerated differentiation when primed in the presence of TMem cells or augmented Fas signaling.
Fas signaling controls T cell differentiation and antitumor efficacy.
TMem–induced precocious differentiation of TN-derived cells resulted in impaired antitumor efficacy in mice. Given our findings that precocious differentiation is mediated by FasL-Fas interaction, we next tested to determine whether modulation of Fas signaling could influence the therapeutic potential of adoptively transferred TN-derived cells. We therefore primed pmel-1 TN cells in the presence of congenically distinguishable TMem cells in combination with αFasL or IgG control. In addition, we also primed TN cells alone with lz-FasL or vehicle control. Following expansion, equal numbers of viable CD8+ T cells obtained using a density separation media for each culture condition were adoptively transferred into sublethally irradiated mice bearing 10-day established B16 melanomas in combination with rVV-gp100 and IL-2. We found that FasL blockade during TN cell expansion in the presence of TMem cells significantly improved tumor regression (P = 0.009) and animal survival (P < 0.05), nearly rescuing the in vivo antitumor potential of isolated TN cells (Figure 10, A and B). In contrast, FasL blockade had no impact on the antitumor efficacy of isolated TN cells expanded without TMem cells (Supplemental Figure 13). Conversely, augmenting Fas signaling using lz-FasL during TN cell priming significantly impaired tumor regression (P < 0.01) and animal survival (P < 0.05). The differences in treatment efficacy of lz-FasL primed TN cells were not attributable to impaired cell engraftment, as a similar frequency of cells was recovered 18 hours after transfer (Figure 10C). Overall, we found a significant inverse linear correlation between the state of T cell differentiation, as measured by CD62L expression on transferred T cells primed with FasL blockade or augmentation, and tumor growth (R2 = 0.797, P < 0.0001; Figure 10D). These data suggest that FasL-mediated perturbations in T cell differentiation were highly correlated with the antitumor treatment efficacy of transferred CD8+ T cells. We conclude that the negative influence of TMem cell–induced precocious differentiation on the treatment efficacy of adoptively transferred TN-derived cells in mice is mediated by a FasL-Fas interaction that can be rescued with FasL blockade during cell expansion.
Discussion
Herein, we present evidence using both human and mouse cells that antigen-experienced CD8+ T cells directly influence naive cell differentiation both during cell expansion ex vivo and following adoptive cotransfer in vivo. This process, which we have termed precocious differentiation, serves to synchronize the functional, transcriptional, and metabolic state of TN-derived progeny with that of TMem cells. Consequently, precocious differentiation leads to an attrition of the highly potent TSCM and TCM populations and an accumulation of TEM cells, resulting in the impaired proliferation, persistence, and antitumor treatment efficacy of adoptively transferred T cells.
In multiple preclinical models, minimally differentiated TN, TSCM, and TCM cell subsets exhibit superior persistence (12, 18, 27, 59–62) and enhanced antitumor (18, 27, 59), antibacterial (62), and antiviral responses following ACT compared with the highly differentiated TEM cell and effector T cell (TEff) populations. Despite these data, the vast majority of current ACT trials utilize unfractionated T cell populations (2, 20). Largely, this is based on an assumption that having at least some representation of the less-differentiated subsets in the starting population used to generate therapeutic T cells is sufficient to convey their desirable attributes. Our data directly challenge this notion by demonstrating that TN cells must either be isolated from TMem cells prior to cell expansion or have their capacity to respond to TMem cell–mediated signaling disrupted to preserve their full therapeutic potential. Accomplishing these goals at a clinical scale might be done using several strategies. These include isolating defined T cell subsets from peripheral blood using serial positive enrichments with reversible Fab streptamers (63), employing a combination of negative and positive magnetic bead isolations (64), and antagonizing Fas or Akt signaling (55). Based on the data in this manuscript, we have initiated a human clinical trial registered at ClinicalTrials.gov (NCT02062359) in which TN cells are enriched relative to TMem cells using magnetic bead isolation of CD62L-expressing cells prior to gene engineering with a TCR recognizing the cancer-germline antigen NY-ESO-1. Results from this and other planned clinical trials will determine whether ACT of naive-enriched T cells results in superior clinical outcomes compared with transfer of unselected T cell populations.
Mechanistically, we identified the TNF superfamily member FasL, which is expressed on TMem cells but not TN cells acutely following activation, as the mediator of precocious differentiation. FasL was both necessary and sufficient to induce the phenomenon. Provision of lz-FasL recapitulated precocious differentiation in the absence of TMem cells, while antibody blockade of FasL or use of T cells from Fas-deficient lpr mice prevented precocious differentiation. Reverse signaling by FasL in T cells has been observed under some conditions (65). Our findings that T cells derived from lpr mice or were protected from precocious differentiation combined with the ability of lz-FasL to mediate the phenomenon excluded reverse signaling as a mechanism in our system.
While Fas is conventionally known as a death receptor, its ability to mediate nonapoptotic functions has been documented in a variety of tissues (39), including T cells (40). We provide several lines of evidence that our findings were not attributable solely to Fas-induced apoptosis. First, we determined that TEM cells, the population that accumulates in response to augmented Fas signaling, was most sensitive to Fas-mediated apoptosis relative to other T cell subsets in both mice and humans. This finding is in agreement with previously reported results (45). Thus, selective culling of TSCM and TCM cells could not account for the skewing toward the TEM cell population. Second, using CD8+ T cells derived from a transgenic mouse expressing a FasC194V mutant receptor, we provide genetic evidence that Fas-mediated cell death and cellular differentiation can be uncoupled by impairing the ability of the receptor to undergo posttranslational lipid modification. Although further studies are required to resolve the precise signaling cascade necessary for Fas-induced precocious differentiation, we found that both TMem cells and lz-FasL augmented Akt signaling in TN cells. Similarly to previously reported Akt-dependent functions of canonical costimulatory molecules such as CD28 (66), augmenting Fas signaling in TN cells enhanced cellular differentiation and promoted a glycolytic metabolism. Conversely, inhibition of Akt using a well-validated allosteric inhibitor largely prevented lz-FasL–induced differentiation of TN cells, further implicating Akt activation in Fas-mediated differentiation. These findings parallel recent reports of Akt-mediated nonapoptotic Fas signaling in glioblastoma (42) and neuronal stem cells (43).
We determined that the capacity to induce precocious differentiation was a generalized property of antigen-experienced T cells, regardless of whether they were TCM or TEM cells. These findings were associated with a permissive epigenetic signature at the FasL locus in both TCM and TEM cell subsets relative to TN cells. Further, we resolved that precocious differentiation required both cell activation and direct cell contact between T cell subsets to occur. Separation of TN and TMem cells by a semipermeable membrane prevented the phenomenon and transfer of TMem cell–derived supernatant to TN cells could not reproduce the effect. Recent multiphoton microscopy studies have revealed that TN and TCM cells form stable clusters together in vivo around antigen-bearing targets (67, 68). Additionally, while lymphoid-trafficking of the CD62L– TEM/TEff cell subsets is limited in the steady state, inflamed lymph nodes become permissive to entry of these cells (69). Thus, there is evidence that TN and TMem cells can physically interact with one another in vivo. Whether such TN and TMem cell interactions might also influence the response to intracellular pathogens or vaccines under certain conditions is the subject of future work.
A prior study evaluated the influence of preexisting T cell memory on the recruitment and differentiation of TN cells in vivo (35). Unlike current ACT clinical protocols in which large numbers of T cells are infused in an attempt to gain control over tumor replication, this study evaluated the transfer of a limiting number of TN cells (500 cells) in hosts containing 100- to 1,000-fold greater numbers of TMem cells. Under these conditions, TMem cells numerically outcompeted TN cells for access to limited antigen and cytokines, thus curtailing the differentiation of TN cells. However, how TMem cells influence TN cell differentiation when cells are coinfused in the relatively large numbers and ratios typically used in adoptive immunotherapies has previously not been addressed. Consistent with our ex vivo cell expansion data, we found that cotransfer of TMem cells caused accelerated TN cell differentiation into a terminally differentiated KLRG1+CD27lo phenotype despite an attenuated proliferative burst. The decreased expansion of antitumor TN cells primed with TMem cells in vivo likely reflected their accelerated conversion to antigen-experienced subsets that are known to have a reduced proliferative capacity relative to TN cells following poxvirus vaccination (70). Most importantly, cotransfer of TMem cells impaired the full in vivo antitumor efficacy of TN cells.
The magnitude of accelerated TN cell differentiation caused by TMem cells was remarkably sensitive to the ratio of the 2 subsets such that an exponential relationship existed between the extent to which TN-derived progeny entered the TEM/TEFF pool and the starting proportion of TMem to TN cells. In this manner, more-differentiated T cell subsets have the capacity to synchronize their phenotype, function, and gene expression with less-differentiated subsets. Some unicellular organisms exhibit collective decision making through cell-cell communication once a threshold concentration of members detect an environmental stress (71). This process, termed quorum sensing, allows individual members of a community to exhibit collectivist behaviors in order to coordinate expression of energetically expensive processes involved in virulence and differentiation (71). While quorum sensing has been theorized to be relevant to understanding lymphocyte behavior (72, 73), our data add to growing experimental data demonstrating that, under certain circumstances, T cells can also exhibit collectivist behaviors (74, 75).
In conclusion, we describe what we believe to be a previously unrecognized T cell–T cell interaction whereby antigen-experienced CD8+ T cells drive TN cell differentiation during priming through a contact-dependent mechanism involving a nonapoptotic Fas-FasL interaction. The net influence of this process synchronizes TN cell behavior with that of TMem cells, affecting the functional, transcriptional, and metabolic differentiation of TN-derived progeny. For adoptive immunotherapies, where there is a strong inverse correlation between T cell differentiation and antitumor efficacy, the implications of our findings are clear: TMem cause significantly enhanced differentiation of TN cells, impairing in vivo antitumor efficacy. Therefore, strategies that disrupt quorum-like behavior among T cell subsets might provide a new means of enhancing the effectiveness of T cell–based immunotherapies.
Methods
Mouse strains and animal studies.
Adult (6 to 12 weeks old) female C57BL/6 (B6; Ly5.2+), B6.SJL-Ptprca Pep3b/BoyJ (Ly5.1+), B6.PL-Thy1a/CyJ (Thy1.1+), B6.MRL-Faslpr/J (lpr) (44), B6.129S7-Rag1tm1Mom/J (Rag), B6.Cg-Thy1a/Cy Tg(TcraTcrb)8Rest/J (pmel-1) (24), and B6-Tg(TcraTcrb)1100Mjb/J (OT-1) (76) CD8+ TCR transgenic mice were all purchased from the Jackson Laboratory. Transgenic mice harboring the Fas C194V mutant receptor were generated via BAC containing the Fas locus, with the C194V generated by recombineering. These mice were backcrossed to lpr mice on a B6 background. FasC194Vlpr/lpr mice were backcrossed to homozygosity for both the lpr Fas allele and the C194V Fas transgene. Where indicated, pmel-1 and OT-1 mice were crossed to Thy1.1, Ly5.1, Rag, or Rag × lpr backgrounds. All mice were maintained under specific pathogen–free conditions.
Evaluation of vaccine-induced and antitumor immunity.
Adult female B6 mice were implanted by s.c. injection with 4 × 105 B16 (H-2Db) cells, a spontaneous gp100+ murine melanoma cell line obtained from the NCI tumor repository. Ten days later, tumor-bearing mice received 6 Gy total body irradiation. Treated mice received i.v. injection of indicated doses and subsets of pmel-1 CD8+ T cells in combination with 2 × 107 pfu of a previously described recombinant vaccinia virus (rVV-gp100) (24) (rVV-gp100) and 12 μg IL-2 (Prometheus) administered twice daily by i.p. injection for a total of 6 doses. All tumor measurements were performed in a blinded fashion.
Antibodies and flow cytometry.
Mouse cells were stained with fluorochrome-conjugated antibodies against combinations of the following surface and intracellular antigens after Fc receptor blockade (2.4G2): CD8α (clone 53-6.7), CD27 (clone LG.3A10), CD44 (clone IM7), CD45.1(clone A20), CD45.2 (clone 104), CD62L (clone MEL-14), CD90.1 (clone OX-7), CD90.2 (clone 53-2.1), CD95 (clone Jo2), CD122 (clone TM–β1), CD178 (clone MFL3), IFN-γ (clone XMG1.2), KLRG-1 (clone 2F1), and Sca-1 (clone D7) (all purchased from BD Biosciences). Fluorochrome conjugates against pS6 S235/236 (D57.2.2E), pAkt T308 (C31E5E), and pAkt S473 (D9E) were obtained from Cell Signaling Technologies. Human cells were stained with combinations of the following fluorochrome-conjugated antibodies: CCR7 (150503), CD28 (CD28.2), CD45RO (UCHL1), CD8 (SK1) (BD Biosciences) or CD27 (M-T271), CD45RA (HI100), and CD62L (DREG-56) (BioLegend). Stimulation of T cells for intracellular cytokine staining was accomplished using Leukocyte Activation Cocktail containing phorbol myristate acetate and ionomycin in combination with brefeldin A and monensin solution (BD Biosciences). Apoptosis and specific cell death in defined T cell subsets was assessed using fluorochrome-conjugated annexin V and 7-AAD (both from BD Biosciences), as previously described (45). Where indicated, TN-derived and TMem-derived subsets were reisolated for additional analyses by FACS sorting to greater than 92% purity using FACS sorting or magnetic bead isolation. Cell viability was determined using PI exclusion in FACS-sorting experiments or fixable live/dead cells (Invitrogen) for diagnostic experiments. For FACS–based glucose uptake assays, we incubated CD8+ T cells with 100 μM 2-NBDG (Invitrogen) for 2 hours before measuring by FACS, as previously described (54). Flow cytometric data were acquired using either BD FACSCanto II, LSR, or LSRFortessa cytometers (BD Biosciences). FACS data, including calculation of PI, were analyzed with FlowJo Version 9.7 software (TreeStar).
Isolation and generation of mouse and human CD8+ T cell subsets.
Mouse TN cells were isolated either by using a MACS CD8+ negative selection kit (Miltenyi Biotech) in combination with a 1:300 dilution of biotin-conjugated anti-CD44 antibody or by FACS sorting CD44loCD62LhiCD8+ T cells using FACSAria (BD Biosciences). Mouse TMem cells were generated by in vitro differentiation (as previously described) or by adoptive transfer of congenically distinguishable Thy1.1+ or Ly5.1+ pmel-1 CD8+ T cells into Ly5.2+ WT mice, where recipient mice were vaccinated with rVV-gp100 (2 × 107 PFU) and vaccine-induced TCM (CD44hiCD62L+) or TEM (CD44hiCD62L–) adoptively transferred subsets were isolated by FACs sorting more than 28 days later (27, 77). Human T cells were obtained either by leukapheresis or venipuncture and prepared over Ficoll-Hypaque gradient (LSM; ICN Biomedicals Inc.). Human TN cells and TMem cells were obtained by magnetic bead isolation using the EasySep Human Naive CD8+ T Cell and Memory CD8+ T Cell Enrichment Kits, respectively (STEMCELL Technologies). Fate tracking of TN and TMem cells was accomplished by labeling cells with Cell Proliferation Dye eFluor 450 and Cell Proliferation Dye eFluor 670, respectively (eBioscience).
Activation and expansion of CD8+ T cells.
Both mouse and human TN cells with or without TMem cells were activated and expanded at indicated ratios in 96-well round-bottom plates coated with 2 μg/ml of CD3-specific and 1 μg/ml of soluble CD28-specific antibodies (clones 145-2C11 and 37.51; BD Biosciences) in culture media containing 5 ng/ml (mouse) or 20 ng/ml (human) of IL-2 at a final density of 1 × 105 cells/well. Where indicated, T cells were cultured with specified concentrations of lz-FasL, a previously described recombinant oligomerized form of FasL (45), or 10 μg ml–1 of either a blocking antibody against FasL (MFL3; BD Biosciences) or IgG (A19-3; BioLegend). In some experiments, cells were also cultured with 1 μM of Akt Inhibitor VIII (Calbiochem) dissolved in DMSO (Sigma-Aldrich). Where indicated, TN-derived and TMem-derived subsets were reisolated for additional analyses by FACS sorting to more than 95% purity using FACS sorting or magnetic bead isolation. Transwell experiments were conducted in 24-well plates using 0.4 μm inserts (Corning Costar) with TN cells alone or in combination with TMem cells either in the bottom well or in the Transwell insert.
Cytokine release assays.
We pulsed B6 splenocytes with indicated concentrations of hgp10025–33 peptide and incubated cells with TN-derived pmel-1 CD8+ T cells at a 1:1 ratio overnight at 37°C. Supernatants were analyzed for mouse IFN-γ by ELISA (R&D Systems).
qPCR and Western blot.
For qPCR analysis, CD8+ T cell subsets were FACS sorted directly into RNAprotect Cell Reagent, and RNA was extracted using the QiaShredders and RNeasy Mini Kits (all from QIAGEN). cDNA was synthesized using the High Capacity RNA-to-cDNA kit (Applied Biosystems), and qPCR was performed on an ABI 7500 Fast Instrument (Applied Biosystems). Gene expression was quantified using probes targeting Ccr7, Cd27, Gzmb, Il7ra, Klf2, Sell, Tbx21, Tcf7, Tfrc, and Prdm1 (Applied Biosystems). For Western blot analysis, CD8+ T cells were sorted into FCS and subsequently lysed in protease inhibitor containing RIPA buffer (Cell Signaling Technology). Protein was quantified using the Bio-Rad protein assay. We separated 30 μg of total protein on a 4% to 12% SDS-PAGE gel followed by standard immunoblotting with antibodies to pAktT308 (C31E5E; Cell Signaling Technology), GAPDH (AB2302; EMD Millipore), and horseradish peroxidase–conjugated goat antibodies to mouse and rabbit IgG (sc-2005 and sc-2004; Santa Cruz Biotechnology Inc.). Blots were developed using chemiluminescence (Thermo Fisher Scientific) and acquired using the ChemiDoc system (Bio-Rad Laboratories).
Microarray analyses and ChIP-seq.
Gene-expression levels were determined using GeneChip Mouse Gene 1.0 ST arrays (Affymetrix) according to the manufacturer’s protocol. 300 ng of total RNA was used as starting material for cRNA amplification using the WT Expression Kit (Life Technologies) according to the manufacturer’s protocol. cDNA was reverse transcribed, fragmented, labeled using the GeneChip WT Terminal Labeling Kit (Affymetrix), and hybridized on the arrays for 18 hours according to the manufacturer’s directions. Arrays were stained and washed in the Fluidics Station 400 (Affymetrix) and scanned (Affymetrix 7G). Array data were imported into the Partek Genomic Suite using robust multichip analysis (RMA) normalization after background subtraction. One-way ANOVA was used to identify differentially expressed genes among the 4 T cell subtypes with a significant cut-off of pFDR < 0.01. Differentially expressed probe sets were selected using a FDR cut-off of 0.01 without specifying a FC criterion. ChIP-seq assays were performed as previously described (55). Briefly, 2 × 107 T cell subsets isolated by FACS sorting were treated with MNase to generate approximately 20% dinucleosomes and 80% mononucleosomes. Antibodies against H3K4me3 (ab8580; Abcam) and H3K27me3 (07-449; Upstate) were used for immunoprecipitation. The ChIP DNA fragments were blunt ended, ligated to Solexa adaptors, and sequenced with the Illumina 1G Genome Analyzer with mapping to the mouse genome (build mm10) using Bowtie software. All original microarray data were deposited in the NCBI’s Gene Expression Omnibus (GEO GSE56344, GSE67825, and GSE67881).
Statistics.
The products of perpendicular tumor diameters were plotted as the mean ± SEM for each data point, and tumor treatment graphs were compared by using the Wilcoxon rank sum test and analysis of animal survival assessed using a log-rank test. Regression analysis of the slope of tumor regression as a function of CD62L+ cells among Fas-modulated CD8+ T cells was performed as described previously (78). For all other experiments, data were compared using either an unpaired 2-tailed Student’s t test corrected for multiple comparisons by a Bonferroni adjustment or repeated measures 1-way ANOVA, as indicated. In all cases, P values of less than 0.05 were considered significant. Statistics were calculated using Prism 5 GraphPad software (GraphPad Software Inc.).
Study approval.
Animal experiments were conducted with the approval of the NCI and NIAMS Animal Use and Care Committees. All anonymous NIH Blood Bank donors and cancer patients providing human samples were enrolled in clinical trials approved by the NIH Clinical Center and NCI institutional review boards. Each patient signed an informed consent form and received a patient information form prior to participation.
Author contributions
CAK, CDS, AJL, TNY, ACC, CO, MR, RR, YJ, RLE, MS, JGC, DCP, ZAB, DC, ZY, PM, AG, SKT, SP, HL, RMS, and NPR designed and/or performed experiments. CAK, CDS, TNY, MR, ACC, FMM, and EW analyzed data. JGC, LG, SAR, and RMS edited the manuscript. CAK and NPR wrote the manuscript.
Supplementary Material
Acknowledgments
We thank A. Mixon and S. Farid of the NCI Surgery Branch Flow Cytometry Unit for help with flow cytometry sorting. This work was supported by the Intramural Research Programs of the NCI and NIAMS, the Center for Cancer Research of the NIH (ZIA BC011586 and ZIA BC010763), and the NIH Center for Regenerative Medicine. Additional support was provided by gifts from Li Jinyuan and the Tiens Charitable Foundation and the Milstein Family Foundation.
Footnotes
Conflict of interest: The authors have declared that no conflict of interest exists.
Reference information:J Clin Invest. 2016;126(1):318–334. doi:10.1172/JCI81217.
See the related Commentary beginning on page 1.
References
- 1.Maus MV, Fraietta JA, Levine BL, Kalos M, Zhao Y, June CH. Adoptive immunotherapy for cancer or viruses. Annu Rev Immunol. 2014;32:189–225. doi: 10.1146/annurev-immunol-032713-120136. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Jensen MC, Riddell SR. Design and implementation of adoptive therapy with chimeric antigen receptor-modified T cells. Immunol Rev. 2014;257(1):127–144. doi: 10.1111/imr.12139. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Rosenberg SA, Restifo NP. Adoptive cell transfer as personalized immunotherapy for human cancer. Science. 2015;348(6230):62–68. doi: 10.1126/science.aaa4967. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Sadelain M. T-cell engineering for cancer immunotherapy. Cancer J. 2009;15(6):451–455. doi: 10.1097/PPO.0b013e3181c51f37. [DOI] [PubMed] [Google Scholar]
- 5.Leen AM, Heslop HE, Brenner MK. Antiviral T-cell therapy. Immunol Rev. 2014;258(1):12–29. doi: 10.1111/imr.12138. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Bollard CM, Rooney CM, Heslop HE. T-cell therapy in the treatment of post-transplant lymphoproliferative disease. Nat Rev Clin Oncol. 2012;9(9):510–519. doi: 10.1038/nrclinonc.2012.111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Jena B, Dotti G, Cooper LJ. Redirecting T-cell specificity by introducing a tumor-specific chimeric antigen receptor. Blood. 2010;116(7):1035–1044. doi: 10.1182/blood-2010-01-043737. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Kershaw MH, Westwood JA, Darcy PK. Gene-engineered T cells for cancer therapy. Nat Rev Cancer. 2013;13(8):525–541. doi: 10.1038/nrc3565. [DOI] [PubMed] [Google Scholar]
- 9.June CH, Blazar BR, Riley JL. Engineering lymphocyte subsets: tools, trials and tribulations. Nat Rev Immunol. 2009;9(10):704–716. doi: 10.1038/nri2635. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Dotti G, Gottschalk S, Savoldo B, Brenner MK. Design and development of therapies using chimeric antigen receptor-expressing T cells. Immunol Rev. 2014;257(1):107–126. doi: 10.1111/imr.12131. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Hinrichs CS, et al. Adoptively transferred effector cells derived from naive rather than central memory CD8+ T cells mediate superior antitumor immunity. Proc Natl Acad Sci U S A. 2009;106(41):17469–17474. doi: 10.1073/pnas.0907448106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Cieri N, et al. IL-7 and IL-15 instruct the generation of human memory stem T cells from naive precursors. Blood. 2013;121(4):573–584. doi: 10.1182/blood-2012-05-431718. [DOI] [PubMed] [Google Scholar]
- 13.Hinrichs CS, et al. Human effector CD8+ T cells derived from naive rather than memory subsets possess superior traits for adoptive immunotherapy. Blood. 2011;117(3):808–814. doi: 10.1182/blood-2010-05-286286. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Casati A, et al. Clinical-scale selection and viral transduction of human naive and central memory CD8+ T cells for adoptive cell therapy of cancer patients. Cancer Immunol Immunother. 2013;62(10):1563–1573. doi: 10.1007/s00262-013-1459-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Xu Y, et al. Closely related T-memory stem cells correlate with in vivo expansion of CAR. Blood. 2014;123(24):3750–3759. doi: 10.1182/blood-2014-01-552174. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Rosenberg SA, et al. Durable complete responses in heavily pretreated patients with metastatic melanoma using T-cell transfer immunotherapy. Clin Cancer Res. 2011;17(13):4550–4557. doi: 10.1158/1078-0432.CCR-11-0116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Louis CU, et al. Antitumor activity and long-term fate of chimeric antigen receptor-positive T cells in patients with neuroblastoma. Blood. 2011;118(23):6050–6056. doi: 10.1182/blood-2011-05-354449. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Gattinoni L, et al. A human memory T cell subset with stem cell-like properties. Nat Med. 2011;17(10):1290–1297. doi: 10.1038/nm.2446. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Linnemann C, Schumacher TN, Bendle GM. T-cell receptor gene therapy: critical parameters for clinical success. J Invest Dermatol. 2011;131(9):1806–1816. doi: 10.1038/jid.2011.160. [DOI] [PubMed] [Google Scholar]
- 20.Klebanoff CA, Gattinoni L, Restifo NP. Sorting through subsets: which T-cell populations mediate highly effective adoptive immunotherapy? J Immunother. 2012;35(9):651–660. doi: 10.1097/CJI.0b013e31827806e6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Sabatos CA, et al. A synaptic basis for paracrine interleukin-2 signaling during homotypic T cell interaction. Immunity. 2008;29(2):238–248. doi: 10.1016/j.immuni.2008.05.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Gerard A, et al. Secondary T cell-T cell synaptic interactions drive the differentiation of protective CD8+ T cells. Nat Immunol. 2013;14(4):356–363. doi: 10.1038/ni.2547. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Maciver NJ, Michalek RD, Rathmell JC. Metabolic regulation of T lymphocytes. Annu Rev Immunol. 2013;31:259–283. doi: 10.1146/annurev-immunol-032712-095956. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Overwijk WW, et al. Tumor regression and autoimmunity after reversal of a functionally tolerant state of self-reactive CD8+ T cells. J Exp Med. 2003;198(4):569–580. doi: 10.1084/jem.20030590. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Brentjens RJ, et al. CD19-targeted T cells rapidly induce molecular remissions in adults with chemotherapy-refractory acute lymphoblastic leukemia. Sci Transl Med. 2013;5(177): doi: 10.1126/scitranslmed.3005930. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.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. 2011;3(95): doi: 10.1126/scitranslmed.3002842. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Gattinoni L, et al. Wnt signaling arrests effector T cell differentiation and generates CD8+ memory stem cells. Nat Med. 2009;15(7):808–813. doi: 10.1038/nm.1982. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Gattinoni L, Klebanoff CA, Restifo NP. Paths to stemness: building the ultimate antitumour T cell. Cancer. 2012;12(10):671–684. doi: 10.1038/nrc3322. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Rufer N, et al. Ex vivo characterization of human CD8+ T subsets with distinct replicative history and partial effector functions. Blood. 2003;102(5):1779–1787. doi: 10.1182/blood-2003-02-0420. [DOI] [PubMed] [Google Scholar]
- 30.Mackall CL, et al. Distinctions between CD8+ and CD4+ T-cell regenerative pathways result in prolonged T-cell subset imbalance after intensive chemotherapy. Blood. 1997;89(10):3700–3707. [PubMed] [Google Scholar]
- 31.Schober SL, Kuo CT, Schluns KS, Lefrancois L, Leiden JM, Jameson SC. Expression of the transcription factor lung Kruppel-like factor is regulated by cytokines and correlates with survival of memory T cells in vitro and in vivo. J Immunol. 1999;163(7):3662–3667. [PubMed] [Google Scholar]
- 32.Rao RR, Li Q, Gubbels Bupp MR, Shrikant PA. Transcription factor Foxo1 represses T-bet-mediated effector functions and promotes memory CD8(+) T cell differentiation. Immunity. 2012;36(3):374–387. doi: 10.1016/j.immuni.2012.01.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Joshi NS, et al. Inflammation directs memory precursor and short-lived effector CD8(+) T cell fates via the graded expression of T-bet transcription factor. Immunity. 2007;27(2):281–295. doi: 10.1016/j.immuni.2007.07.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Rutishauser RL, et al. Transcriptional repressor Blimp-1 promotes CD8(+) T cell terminal differentiation and represses the acquisition of central memory T cell properties. Immunity. 2009;31(2):296–308. doi: 10.1016/j.immuni.2009.05.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Martin MD, Wirth TC, Lauer P, Harty JT, Badovinac VP. The impact of pre-existing memory on differentiation of newly recruited naive CD8 T cells. J Immunol. 2011;187(6):2923–2931. doi: 10.4049/jimmunol.1100698. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Kedl RM, et al. T cells compete for access to antigen-bearing antigen-presenting cells. J Exp Med. 2000;192(8):1105–1113. doi: 10.1084/jem.192.8.1105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Croft M. The role of TNF superfamily members in T-cell function and diseases. Nat Rev Immunol. 2009;9(4):271–285. doi: 10.1038/nri2526. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Russ BE, et al. Distinct epigenetic signatures delineate transcriptional programs during virus-specific CD8(+) T cell differentiation. Immunity. 2014;41(5):853–865. doi: 10.1016/j.immuni.2014.11.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Peter ME, et al. The CD95 receptor: apoptosis revisited. Cell. 2007;129(3):447–450. doi: 10.1016/j.cell.2007.04.031. [DOI] [PubMed] [Google Scholar]
- 40.Alderson MR, et al. Fas transduces activation signals in normal human T lymphocytes. J Exp Med. 1993;178(6):2231–2235. doi: 10.1084/jem.178.6.2231. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Desbarats J, Newell MK. Fas engagement accelerates liver regeneration after partial hepatectomy. Nat Med. 2000;6(8):920–923. doi: 10.1038/78688. [DOI] [PubMed] [Google Scholar]
- 42.Kleber S, et al. Yes and PI3K bind CD95 to signal invasion of glioblastoma. Cancer Cell. 2008;13(3):235–248. doi: 10.1016/j.ccr.2008.02.003. [DOI] [PubMed] [Google Scholar]
- 43.Corsini NS, et al. The death receptor CD95 activates adult neural stem cells for working memory formation and brain repair. Cell Stem Cell. 2009;5(2):178–190. doi: 10.1016/j.stem.2009.05.004. [DOI] [PubMed] [Google Scholar]
- 44.Watanabe-Fukunaga R, Brannan CI, Copeland NG, Jenkins NA, Nagata S. Lymphoproliferation disorder in mice explained by defects in Fas antigen that mediates apoptosis. Nature. 1992;356(6367):314–317. doi: 10.1038/356314a0. [DOI] [PubMed] [Google Scholar]
- 45.Ramaswamy M, et al. Specific elimination of effector memory CD4+ T cells due to enhanced Fas signaling complex formation and association with lipid raft microdomains. Cell Death Differ. 2011;18(4):712–720. doi: 10.1038/cdd.2010.155. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Chakrabandhu K, et al. Palmitoylation is required for efficient Fas cell death signaling. EMBO J. 2007;26(1):209–220. doi: 10.1038/sj.emboj.7601456. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Feig C, Tchikov V, Schutze S, Peter ME. Palmitoylation of CD95 facilitates formation of SDS-stable receptor aggregates that initiate apoptosis signaling. EMBO J. 2007;26(1):221–231. doi: 10.1038/sj.emboj.7601460. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Macintyre AN, et al. Protein kinase B controls transcriptional programs that direct cytotoxic T cell fate but is dispensable for T cell metabolism. Immunity. 2011;34(2):224–236. doi: 10.1016/j.immuni.2011.01.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Kerdiles YM, et al. Foxo1 links homing and survival of naive T cells by regulating L-selectin, CCR7 and interleukin 7 receptor. Nat Immunol. 2009;10(2):176–184. doi: 10.1038/ni.1689. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Fabre S, et al. FOXO1 regulates L-Selectin and a network of human T cell homing molecules downstream of phosphatidylinositol 3-kinase. J Immunol. 2008;181(5):2980–2989. doi: 10.4049/jimmunol.181.5.2980. [DOI] [PubMed] [Google Scholar]
- 51.Kelly AP, et al. Notch-induced T cell development requires phosphoinositide-dependent kinase 1. EMBO J. 2007;26(14):3441–3450. doi: 10.1038/sj.emboj.7601761. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.John S, Weiss JN, Ribalet B. Subcellular localization of hexokinases I and II directs the metabolic fate of glucose. PLoS One. 2011;6(3): doi: 10.1371/journal.pone.0017674. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Rathmell JC, Fox CJ, Plas DR, Hammerman PS, Cinalli RM, Thompson CB. Akt-directed glucose metabolism can prevent Bax conformation change and promote growth factor-independent survival. Mol Cell Biol. 2003;23(20):7315–7328. doi: 10.1128/MCB.23.20.7315-7328.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Sukumar M, et al. Inhibiting glycolytic metabolism enhances CD8+ T cell memory and antitumor function. J Clin Invest. 2013;123(10):4479–4488. doi: 10.1172/JCI69589. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Crompton JG, et al. Akt inhibition enhances expansion of potent tumor-specific lymphocytes with memory cell characteristics. Cancer Res. 2015;75(2):296–305. doi: 10.1158/0008-5472.CAN-14-2277. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Jensen MC, et al. Antitransgene rejection responses contribute to attenuated persistence of adoptively transferred CD20/CD19-specific chimeric antigen receptor redirected T cells in humans. Blood Marrow Transplant. 2010;16(9):1245–1256. doi: 10.1016/j.bbmt.2010.03.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Robbins PF, et al. Tumor regression in patients with metastatic synovial cell sarcoma and melanoma using genetically engineered lymphocytes reactive with NY-ESO-1. J Clin Oncol. 2011;29(7):917–924. doi: 10.1200/JCO.2010.32.2537. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Kochenderfer JN, et al. Chemotherapy-refractory diffuse large B-cell lymphoma and indolent B-cell malignancies can be effectively treated with autologous T cells expressing an anti-CD19 chimeric antigen receptor. J Clin Oncol. 2015;33(6):540–549. doi: 10.1200/JCO.2014.56.2025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Klebanoff CA, et al. Central memory self/tumor-reactive CD8+ T cells confer superior antitumor immunity compared with effector memory T cells. Proc Natl Acad Sci U S A. 2005;102(27):9571–9576. doi: 10.1073/pnas.0503726102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Wang X, Berger C, Wong CW, Forman SJ, Riddell SR, Jensen MC. Engraftment of human central memory-derived effector CD8+ T cells in immunodeficient mice. Blood. 2011;117(6):1888–1898. doi: 10.1182/blood-2010-10-310599. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Berger C, Jensen MC, Lansdorp PM, Gough M, Elliott C, Riddell SR. Adoptive transfer of effector CD8+ T cells derived from central memory cells establishes persistent T cell memory in primates. Invest. 2008;118(1):294–305. doi: 10.1172/JCI32103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Graef P, et al. Serial transfer of single-cell-derived immunocompetence reveals stemness of CD8(+) central memory T cells. Immunity. 2014;41(1):116–126. doi: 10.1016/j.immuni.2014.05.018. [DOI] [PubMed] [Google Scholar]
- 63.Stemberger C, et al. Novel serial positive enrichment technology enables clinical multiparameter cell sorting. PLoS One. 2012;7(4): doi: 10.1371/journal.pone.0035798. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Terakura S, Yamamoto TN, Gardner RA, Turtle CJ, Jensen MC, Riddell SR. Generation of CD19-chimeric antigen receptor modified CD8+ T cells derived from virus-specific central memory T cells. Blood. 2012;119(1):72–82. doi: 10.1182/blood-2011-07-366419. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Sun M, Ames KT, Suzuki I, Fink PJ. The cytoplasmic domain of Fas ligand costimulates TCR signals. J Immunol. 2006;177(3):1481–1491. doi: 10.4049/jimmunol.177.3.1481. [DOI] [PubMed] [Google Scholar]
- 66.Frauwirth KA, et al. The CD28 signaling pathway regulates glucose metabolism. Immunity. 2002;16(6):769–777. doi: 10.1016/S1074-7613(02)00323-0. [DOI] [PubMed] [Google Scholar]
- 67.Sung JH, et al. Chemokine guidance of central memory T cells is critical for antiviral recall responses in lymph nodes. Cell. 2012;150(6):1249–1263. doi: 10.1016/j.cell.2012.08.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Chtanova T, et al. Dynamics of T cell, antigen-presenting cell, and pathogen interactions during recall responses in the lymph node. Immunity. 2009;31(2):342–355. doi: 10.1016/j.immuni.2009.06.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Guarda G, et al. L-selectin-neagtive CCR7-effector and memory CD8+ T cells enter reactive lymph nodes and kill dendritic cells. Nat Immunol. 2007;8(7):743–752. doi: 10.1038/ni1469. [DOI] [PubMed] [Google Scholar]
- 70.Martin MD, Condotta SA, Harty JT, Badovinac VP. Population dynamics of naive and memory CD8 T cell responses after antigen stimulations in vivo. J Immunol. 2012;188(3):1255–1265. doi: 10.4049/jimmunol.1101579. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Rutherford ST, Bassler BL. Bacterial quorum sensing: its role in virulence and possibilities for its control. Cold Spring Harb Perspect Med. 2012;2(11): doi: 10.1101/cshperspect.a012427. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Butler TC, Kardar M, Chakraborty AK. Quorum sensing allows T cells to discriminate between self and nonself. Proc Natl Acad Sci U S A. 2013;110(29):11833–11838. doi: 10.1073/pnas.1222467110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Reynolds J, Amado IF, Freitas AA, Lythe G, Molina-París C. A mathematical perspective on CD4 T cell quorum-sensing. J Theor Biol. 2014;347:160–175. doi: 10.1016/j.jtbi.2013.12.019. [DOI] [PubMed] [Google Scholar]
- 74.Thaventhiran JE, et al. Activation of the Hippo pathway by CTLA-4 regulates the expression of Blimp-1 in the CD8+ T cell. Proc Natl Acad Sci U S A. 2012;109(33):E2223–E2229. doi: 10.1073/pnas.1209115109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Amado IF, et al. IL-2 coordinates IL-2-producing and regulatory T cell interplay. J Exp Med. 2013;210(12):2707–2720. doi: 10.1084/jem.20122759. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Hogquist KA, Jameson SC, Heath WR, Howard JL, Bevan MJ, Carbone FR. T cell receptor antagonist peptides induce positive selection. Cell. 1994;76(1):17–27. doi: 10.1016/0092-8674(94)90169-4. [DOI] [PubMed] [Google Scholar]
- 77.Klebanoff CA, et al. Determinants of successful CD8+ T-cell adoptive immunotherapy for large established tumors in mice. Cancer Res. 2011;17(16):5343–5352. doi: 10.1158/1078-0432.CCR-11-0503. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Gattinoni L, et al. Acquisition of full effector function in vitro paradoxically impairs the in vivo antitumor efficacy of adoptively transferred CD8+ T cells. J Clin Invest. 2005;115(6):1616–1626. doi: 10.1172/JCI24480. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.