Yang, Zhi-Zhang

Abstract Background: B-cell non-Hodgkin lymphomas (NHL) are common lymphoid malignancies in which malignant B-cells arrested at various stages of differentiation proliferate within lymph nodes and occasionally other tissues. The microenvironment that supports the growth and survival of NHL B cells consists of a complex network of immune cells and cytokines and its specific composition has been shown to have significant clinical implications. The intratumoral immune cells include effector and regulatory T (Treg) lymphocytes that are more than simple residual elements from the normal lymph node structure. We previously explored whether the extent of T cell infiltration played a role in the clinical outcome of patients with B-cell NHL and found that an increased percentage of CD4+ T cells in the diagnostic biopsy of lymphoma patients significantly correlated with an improved 5-year overall survival. We have also shown that intratumoral Treg cells significantly suppress the anti-tumor response. Based on the fact that intratumoral T-cells are important in B-cell NHL, we evaluated whether genetic variation in genes that regulate the T-cell response may be associated with lymphoma risk. Methods: We genotyped 257 single nucleotide polymorphisms (SNPs) from 50 candidate genes related to T-cell differentiation and function in a clinic-based study of 441 Caucasian NHL cases and 475 frequency matched Caucasian controls seen at the Mayo Clinic from 2002–2005. Tagging and nsSNPs were selected from HapMap. The most prevalent homozygous genotype was used as the reference group and each SNP was modeled individually as having a log-additive effect, expressed as ordinal odds ratios (OR) per variant allele and 95% confidence intervals, in an age- and sex-adjusted logistic regression analysis. We also evaluated the consistency of the findings for the most common types of B-cell NHL - diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL), and CLL/SLL. For gene-level analyses, we used principal components (PC) analysis using all SNPs from a gene; those PCs that explained > 90% of the variability were then modeled in a logistic regression analysis and significance was determined using a likelihood ratio test. We also evaluated the association of haplotypes from each gene with risk of NHL using the score test implemented from HAPLO.SCORE. Results. The mean age at diagnosis was 60.1 years for cases and 58% were male; among controls, the mean age at enrollment was 61.7 years and 55% were men. In the PC gene analyses, PRF1 (perforin gene - involved in cytotoxicity; p=0.004), CD276 (B7-H3 gene - involved in co-stimulation; p=0.01), TBX21 (T-bet gene – regulates Th1 cell development; p=0.02), and IL6 (p=0.02) were significant at p<0.05; haplotype analysis showed similar results, with the addition of CARD15 (NOD2 gene – regulates Th1 responses; p=0.02). There were 2 SNPs in PRF1, and both the intronic SNP rs3758562 (OR=1.38; 1.13–1.69) and the synonymous coding SNP rs885821 (OR=0.80; 0.63–1.02) were associated with NHL risk overall and for each subtype. There were 2 SNPs in CD276, and both the intronic SNP rs7176654 (OR=1.29; 1.07–1.56) and the mrna-utr SNP rs3816661 (OR=0.82; 0.68–0.99) were associated with NHL risk overall and with the CLL/SLL and follicular NHL subtypes specifically. There were 2 SNPs in TBX21, and only the mrna-utr SNP rs7502875 (OR=0.73; 0.59–0.92) was associated with NHL risk overall and for each subtype. There were 11 SNPs in IL6, and the intronic SNP rs2069835 (OR=1.88; 1.24–2.84) and the locus-region SNP rs2069824 (OR=1.73; 1.20–2.50) were each associated with NHL risk overall and each subtype. Finally, there were 9 SNPs in CARD15, with only the nonsynonymous coding SNP rs5743291 (OR=1.43; 1.02–1.98) being associated with overall NHL risk, and risk was specific to FL. Conclusions. Genetic variation in several genes that play critical roles in T-cell maturation and function was associated with lymphoma risk. These genes appeared to be associated with the differentiation and function of effector T-cells particularly Th1 and Th17 cells. These results provide potentially important insights into the role of T-cells in lymphomagenesis.

Abstract Background: Cutaneous T-cell lymphoma (CTCL) is an incurable lymphoproliferative disorder characterized by the clonal expansion of malignant CD4+ T cells. Currently there is a poor understanding of the underlying mechanisms in the development and progression of this disease. Members of the TNF superfamily have been shown to be important mediators in the formation and regulation of normal T cell responses. A proliferation-inducing ligand (APRIL), a newly identified member of the TNF superfamily, has been shown to stimulate tumor cell growth as well as proliferation of primary B and T lymphocytes. APRIL transcript levels are reported to be low in normal tissues with the highest levels found in peripheral blood leucocytes. In contrast, higher mRNA levels have been detected in tumor cell lines and primary tumor tissues and various tumor cell lines have been shown to respond to APRIL with increased tumor cell proliferation and decreased apoptosis. The striking effects of APRIL on tumor cell growth and survival raise the possibility that the APRIL and its receptors-TACI and BCMA may be involved in the pathogenesis and maintenance of T cell malignancies. Goal: To explore the involvement of APRIL on normal and malignant T cell growth and survival. Results: Under resting conditions, there was minimal APRIL binding to normal T-cells and no TACI or BCMA expression. However, stimulation of resting T cells with OKT3 (anti-CD3) or a combination of PMA and ionomycin resulted in an increase in APRIL binding and TACI expression on a subset of activated T-cells. When CD3+ resting human T cells were cultured in the presence of APRIL, IL-2, or OKT3 alone or a combination, normal T cells had greater viability compared to the nil control and APRIL mediated-T cell survival was similar level to that seen with IL-2 or OKT3 alone. CSFE labeled T cells were activated with suboptimal dose of OKT3 and incubated in the presence of APRIL and /or IL-2. Both APRIL and IL-2 alone induced cell proliferation, while treatment with the combination of APRIL and IL-2 had a synergistic effect on T cell proliferation. Malignant T cells isolated from the blood of patients with Sezary Syndrome exhibited a similar pattern of APRIL binding and APRIL also enhanced their survival. Gene array experiments were performed to identify genes involved in APRIL-mediated survival. In normal and primary malignant T cells the anti-apoptotic genes BCL2A1, BIRC6, CHK1, MCL-1, and MDM2 were upregulated and the pro-apoptotic genes CASP5, DR5, and TNFR2 were downregulated in response to APRIL. Conclusion: APRIL promotes the survival of normal and malignant T cells and co-stimulates CD3-mediated T cell proliferation. The gene array experiments suggest that APRIL regulates the expression of anti-apoptotic and pro-apoptotic genes in both normal and malignant T cells. Taken together, these data indicate an important role for APRIL in the biology of normal T cells and in the pathophysiology of T cell lymphoma.

Abstract Background: Patients with newly diagnosed, advanced-stage, follicular B-cell non-Hodgkin’s lymphomas (NHL) commonly receive rituximab as initial therapy. While antibody dependent cytotoxicity (ADCC) is felt to be the predominant mechanism of action for rituximab, the immunologic effects of rituximab are largely unknown. We have previously shown that genetic polymorphisms in IL-8, IL-2, IL-12 and IL-1 receptor antagonist (IL-1RN) have prognostic significance in follicular lymphoma. The goal of this study was to measure changes in the abovementioned and other serum cytokine levels in patients receiving single agent rituximab as initial therapy for follicular NHL and to identify cytokines that are associated with an increased risk of disease relapse. Methods: Patients with untreated follicular grade 1 NHL, and measurable stage III/IV disease were treated with rituximab 375 mg/m2 intravenous weekly for 4 doses and were then followed for response and time to progression (TTP); no maintenance therapy was provided. Thirty-seven patients were enrolled in this clinical trial between July 1999 and May 2001. As previously reported, the overall response rate in the 36 eligible patients was 72%, with 36% complete remissions. Now, with a median follow up of 5.1 years, the median TTP is 2.2 years (95% CI, 1.2–3.3 years) and the 5-year overall survival is 77% (95% CI: 64–92%). We measured the serum levels of a variety of inflammatory cytokines by ELISA at baseline and 1 month after completing treatment. Serum specimens were available in 30 patients. Thirty two cytokines or receptors including IL-1β, IL-1RN, IL-2, IL-2R, IL-4, IL-5, IL-6, IL-7, IL-8, IL-10, IL-12 p40/p70, IL-13, IL-15, IL-17, TNF-α, IFN-α, IFN-γ, GM-CSF, MIP-1α, MIP-1β, IP-10, MIG, Eotaxin, RANTES, MCP-1, VEGF, GCSF, EGF, FGF-basic, HGF, BLyS and APRIL were analyzed. Results: A significant increase was seen in the serum levels of BLyS (p=0.0001) after rituximab therapy, while IL-12 (p=0.0002), IL-1RN (p=0.0001), IL-2R (p=0.0001), IL-1β (p=0.02), IL-7 (p=0.02), IL-10 (p=0.02), and MIG (p=0.05) all significantly decreased. All other cytokines/receptors remained unchanged. Higher pretreatment serum levels of IL-2R (p=0.008) and IL-12 (p=0.001) correlated with a shorter TTP. Furthermore, elevated serum IL-2R levels pretreatment correlated with a lack of response to rituximab (p=0.03). Differences in overall survival could not be determined due to the fact that only 8 patients enrolled in the study have died. Because serum IL-2R levels correlated with response and TTP, we measured the cell surface expression of IL-2R in the tumor by flow cytometry. IL-2R was detected on a subpopulation of CD4+ T-cells in all specimens tested (n=14), and on malignant B-cells in 5 cases (36%). Conclusions: Pretreatment serum levels of IL-2R and IL-12 are important prognostic factors for response to therapy or TTP in follicular lymphoma patients treated with rituximab. Furthermore, serum levels of BLyS, IL-1RN, IL-7, IL-10, IL-1β and MIG also change after rituximab treatment. Targeting these cytokines may therefore provide additional clinical benefit to patients treated with rituximab.

Abstract Numerous clinical therapies have attempted to modulate tumor cell immunity, but for the most part, have proven unsuccessful. The inability to produce or augment an effective immune response is due in part to regulatory T (Treg) cells, which inhibit CD4 and CD8 T cell function. Our group has recently shown that Treg cell numbers are elevated in NHL tumors and that NHL B cells induce the development of Treg cells thereby inhibiting anti-tumor responses. The ability of NHL B cells to direct the cellular composition of their microenvironment is critical to our understanding of tumor immunity and we therefore wanted to determine if NHL B cells also directed the expansion or reduction of other T cell populations. IL-17-secreting CD4+ T cells (TH17), a newly characterized CD4+ T helper cell lineage, promote inflammation and play an important role in autoimmune disease. IL-17 has been shown to inhibit tumor cell growth suggesting a potential role for TH17 cells in anti-tumor immunity. We therefore set out to determine if TH17 cells were present in NHL tumors and whether or not their numbers were regulated by NHL B cells. Using unsorted mononuclear cells from malignant lymph nodes, we were unable to detect IL-17 expression in resting CD4+ T cells or CD4+ T cells activated with PMA/Ionomycin stimulation (less than 1%). However, IL-17-secreting CD4+ T cells could be detected in significant numbers in inflammatory tonsil and normal PBMCs. Interestingly, depletion of CD19+ NHL B cells from mononuclear cells obtained from patient biopsies resulted in detection of a clear population of IL-17-secreting CD4+ T cells (5%). These results suggest that NHL B cells suppress TH17 cell differentiation. The frequency of IL-17-secreting CD4+ T cells could not be further enhanced by the addition of exogenous TGF-b and IL-6, a cytokine combination favoring for TH17 differentiation, suggesting a further impairment of TH17 cell differentiation in the tumor microenvironment. In contrast, Foxp3 expression could be detected in resting CD4+ T cells (30%) and could be induced in CD4+CD25−Foxp3− T cells activated with TCR stimulation (28%). Contrary to the inhibition of TGF-b-mediated TH17 differentiation, Foxp3 expression could be dramatically upregulated by TGF-b in intratumoral CD4+ T cells (35%). In addition, lymphoma B cells strongly enhanced Foxp3 expression in intratumoral CD4+CD25−Foxp3−. Furthermore, when added together, the frequency of Foxp3+ T cells and Foxp3-inducible cells reached up to 60% of CD4+ T cells in tumor microenvironment of B-cell NHL. These findings suggest that the balance of effector TH17 cells and inhibitory Treg cells is disrupted in B-cell NHL and significantly favors the development of inhibitory Treg cells. Our data indicate that lymphoma B cells are key factor in regulating differentiation of intratumoral CD4+ T cells toward inhibitory CD4+ T cells.

Abstract Background The role of intratumoral PD-1+ T cells and their contribution to patient outcome in follicular lymphoma (FL) has been controversial. While some studies have found that increased numbers of PD-1+ T cells correlate with an inferior prognosis or have no impact on patient outcomes, other studies observed that the numbers of intratumoral PD-1+ T cells are an indicator of a favorable outcome in FL. In previous work, we observed that PD-1 can be expressed by different subsets of intratumoral T cells in FL including T follicular helper (TFH) cells and exhausted T effector cells. However, the function, prevalence, distribution and clinical importance of the respective intratumoral PD-1+ T subsets in FL patients are largely unknown. Goal To characterize PD-1+ T cell subsets and to determine the biological and clinical relevance of these T cell subsets in FL. Results In an analysis of biopsy specimens from 33 previously untreated FL patients, we found that PD-1 is abundantly expressed on intratumoral T cells. A median of 54.9% (range: 17.2-92.6, n=33) of CD4+ or 45.8% (range: 12.8-81.7, n=33) of CD8+ T cells express PD-1 on the cell surface. We found by flow cytometry that PD-1 is expressed on intratumoral CD4+ T cells with bright or dim intensity that represents two different subpopulations in FL. By immunohistochemistry, we identified that CD4+PD-1bright T cells predominantly reside in the lymph node follicles while PD-1dim T cells are mainly located in an inter-follicular pattern. Intratumoral CD4+PD-1bright T cells have a TFH cell phenotype and express CXCR5, secret IL-21 and are BCL-6 positive with no TIM-3 expression. In contrast, CD4+PD-1dim T cells have an exhausted phenotype, express TIM-3 and do not express BCL-6 and CXCR5. Functionally, CD4+PD-1dim T cells displayed reduced proliferation, cytokine production and cell signal transduction. When the CD8+ T cells were analyzed, we found that intratumoral CD8+ T cells, primarily reside in the inter-follicular regions, express PD-1 with low intensity and exhibit similar phenotypic and functional changes to inter-follicular CD4+PD-1dim T cells. These cells express TIM-3 but lack CXCR5 and BCL-6. They also displayed reduced proliferation and cytokine production. Clinically, we observed that both the numbers of CD4+PD-1dim and CD8+PD-1dim exhausted T cells significantly correlate with a reduced progression-free survival in FL patients treated with single agent rituximab (p=0.007 and p=0.04 respectively; n=31). Although it did not reach statistical significance, CD4+PD-1bright TFH cells appeared to correlate with a favorable survival, suggesting that TFH and exhausted T cells differentially impact patient outcome in FL. Conclusion Taken together, these results indicated that PD-1 expression defines two subpopulations with distinct functions that differentially impact patient outcome in FL. This finding provides not only an explanation for the previously discrepant clinical observations, but is also important in the design of future anti-PD-1 antibody-based therapy in FL. Disclosures: No relevant conflicts of interest to declare.

Abstract Gene expression profiling has shown that diffuse large B-cell lymphoma (DLBCL) clusters into three major subtypes based on similarity in expression patterns to their cell of origin (COO): germinal center B-cell-like (GCB-DLBCL), activated B-cell-like DLBCL (ABC-DBLCL) and primary mediastinal B-cell lymphoma (PMBCL). These subtypes of DLBCLs are associated with distinctly different overall survival rates after standard immunochemotherapy. However, clinical and prognostic heterogeneity remains within COO subsets and strategies are needed to further stratify patients to identify and target high-risk subsets. A comprehensive genomic analysis of COO on a clinically defined set of DLBCL cases has not been performed and the aim of this study was to use whole-exome sequencing (WES) data from 58 paired tumor-normal DLBCL samples to assess association of known DLBCL genomic alterations with cell COO as well as for identification of novel and relevant genetic biomarkers. To investigate genomic alterations associated with DLBCL subsets, we analyzed WES and genome wide copy number data from 58 paired tumor-normal DLBCL tumors. Gene expression profiling or Hans classification was performed to determine DLBCL COO subtype; 31 patients were classified as GCB and 27 as non-GCB. The WES data were used to 1) assess the association of known DLBCL genomic alterations with COO, and 2) identify novel alternations associated with COO. Statistical analysis was performed and the data were ranked by significance (p≤ 0.05) within each DLBCL subtype. In total, 45 genomic abnormalities were analyzed for their association with either GCB, non-GCB or both. Mutations in CREBBP, EZH2, MEF2B, FOXO1 and REL have also been reported as GCB driver mutations and we observed GCB patients with these mutations, but the mutation clustering was not wholly associated with GCB. MYC double-hits were exclusively found in the GCB-subtype group. For the non-GCB cases we found that mutations in MAP2K3 and MYD88 were significantly associated with this subtype(p< 0.05). In addition to mutational patterns, we identified several copy number alterations (CNA) across both groups. Chromosomal losses in GCB patients were found at chromosomes 10q11.21-10q24.23, 4q12-4q35.2, 3q12.1-3q29, 4p12-4p16.3, 10p11.21-10p15.3, and 14q11.2-14q24.3 whereas gains were localized to 7q11.1-7q36.3, 7p11.2-7p22.3, and 1q21-1q32.1 (p < 0.05). No CNA was observed to directly associate with non-GCB patients, however, a loss at 9p21 and gains at 9q24.1 and 18q21.33 trended with the non-GCB subtype, supporting previous reports. Loss at 10q23.31 or a gain in 2p13-2p12 have been reported as being specific for GCB and our data confirmed the association of 10q23.31 with GCB while a gain at 2p13-2p12 (REL)was found in both subtypes. To further understand genomic differences between DLBCL subtypes, we evaluated the relative percentage of each genomic feature. 18/45 (40%) were only observed in GCB patients whereas 2/45 (5%) were specific to the non-GCB subtype. The majority (25/45, 55%) overlapped between the two subtypes. Throughout our analysis we noted that 7 non-GCB cases lacked any of the driver mutations analyzed in the study. While all cases carried mutations, they consisted of low frequency mutations that were not specifically associated with COO. 2/7 cases had a gain at 9p24.1 that included CD274 and JAK2. Because 9p24.1 gains have not been fully defined in DLBCL, we reviewed all cases and identified 4 (7%) with a 9p24.1 gain, 3 of which were non-GCB and 1 GCB. One non-GCB case was EBV+ and none of the cases showed evidence of PMBCL. Of the 9p24.1 cases, three had RNAseq data available and we found that PDL1 and JAK2 expression was elevated (12 fold p< 0.01 and 7 fold p< 0.01, respectively) when compared to the 9p24.1 normal cases (n=32). While outcome was not the focus of the study, we did note that 6/7 cases that lacked driver mutations achieved event free survival at 24 months (EFS24). Taken together, this analysis has further characterized the genetic profile of each COO subtype and has identified novel GCB CNAs which require independent replication. Additionally, we identify a subgroup of non-GCB DLBCL patients that do not harbor known driver mutations and require further genomic study to better resolve the biology of these tumors. Together, these data provide insight on the genetic heterogeneity of DLBCL and identify genetic variants that may inform subtype specific therapy. Disclosures Nowakowski: Morphosys: Research Funding; Celgene: Research Funding; Bayer: Consultancy, Research Funding. Rimsza:NCI/NIH: Patents & Royalties: L.M. Rimsza is a co-inventor on a provisional patent, owned by the NCI of the NIH, using Nanostring technology for determining cell of origin in DLBCL..

Abstract Abstract 1586 Transformation growth factor (TGF-β) is a highly pleiotropic cytokine critical to a variety of cellular events such as cell differentiation and apoptosis. TGF-β is synthesized as a prepro-TGF-β precursor and secreted after being processed in Golgi apparatus as a latent form that non-covalently combines both TGF-β and latency-associated protein (LAP). Our previous work in B-cell NHL has shown that the intratumoral T cell composition results in the establishment of a profoundly inhibitory tumor microenvironment. However, the underlying mechanism is only partially understood. In this study, using patient specimens and lymphoma cell lines, we evaluated the role of TGF-β in the tumor microenvironment and determined the effect of TGF-β on the generation of intratumoral TH1, TH17 and Treg cells in B-cell NHL. First, we determined expression of TGF-β and found that a latent form of TGF-β was specifically expressed on the surface of CD19+ B cells, but not on other types of cells from B-cell lymphoma biopsy specimens. By screening cell lines, we found that latent TGF-β was also expressed on the surface of lymphoma cell lines, confirming the finding. Second, we tested whether surface expression by lymphoma cells led to the secretion of TGF-β in culture medium. Using an ELISA assay, we detected variable levels of latent TGF-β in the culture medium of primary malignant B cells (median 100 pg/ml per million cells, range: undetectable −229 pg/ml, n=7). Similarly, lymphoma cell lines secreted variable amounts of TGF-β from undetectable to 200 pg/ml per million cells. Next, we determined the effect of TGF-b on intratumoral T cell proliferation and differentiation. As expected, exogenous addition of TGF-β inhibited the proliferation of T cells. Notably, the proliferation of intratumoral T cells was significantly reduced when co-cultured with lymphoma cells bearing an active form of TGF-β compared to that with lymphoma cells without TGF-β. Using flow cytometry, we showed that the addition of exogenous TGF-β enhanced Foxp3 expression in activated CD4+, CD4+CD45RA+ or CD4+CD45RO+ intratumoral T cells, suggesting that TGF-β promotes the generation of Treg cells in tumor microenvironment. In contrast, TGF-β suppressed the expression of IFN-γ in activated CD4+ T cells and inhibited the up-regulation of IL-12 and IL-23-induced IFN-γ expression in CD4+ cells, indicating that TGF-β suppresses the generation of TH1 cells. TGF-β alone slightly inhibited IL-17 expression in CD4+ T cells; however, TGF-β, in the presence of IL-6 and IL-23, up-regulated IL-17 expression in CD4+ T cells, suggesting proinflammatory cytokines are able to reverse the suppression induced by TGF-β. These results suggest that TGF-β controls the generation of TH1, TH17 and Treg cells contributing to the imbalance of effector TH cells and inhibitory Treg cells in the tumor microenvironment of B-cell NHL. Since malignant B-cells produce TGF-β, these results further support the important role of malignant B cells in the regulation of intratumoral T cell differentiation and the host immune response. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 2700 Background: Follicular lymphoma is a heterogeneous disease in terms of disease course and prognosis. Clinical risk factors, including age, presence of B symptoms and bulky disease have been shown to have prognostic value. More recently, elements of the tumor microenvironment, including CD68 positive macrophages as well as programmed death-1 (PD-1) expressing lymphocytes, have been shown to be associated with a worse prognosis. However, there is a paucity of data in terms of microenvironment changes that take place in the setting of transformation into diffuse large B cell lymphoma (DLBCL). CD14 is a monocytic marker, and increased numbers of CD14+ cells in the peripheral blood have been associated with a poor prognosis in non-Hodgkin's lymphoma and CLL. It has also been shown that CD14+ cells are present in biopsy specimens in DLBCL and that these cells may support malignant cell growth. This study was designed to examine the presence of CD14+ cells in follicular lymphoma that transformed to DLBCL and to determine the prognostic value of CD14 expression in terms of time to transformation. Methods: Patients with follicular lymphoma who underwent transformation into DLBCL were identified from the Mayo Clinic Lymphoma Database. Controls were follicular lymphoma patients who did not undergo transformation, and were matched 2:1 (control:transformed) on age at diagnosis, year of diagnosis, sex, stage, and length of follow-up time. Tissue specimens at the time of diagnosis were stained for CD14 and CD68, and characterized semiquantitatively based on the presence and distribution of positive cells. Time to transformation (TTT) was assessed using the Kaplan-Meier method. Results: 159 patients were included in the study: 58 patients transformed and 101 did not transform into DLBCL. Median age at diagnosis was 64 years. 150 specimens were sufficient for immunohistochemical analysis. When patients with transformed disease were compared to those who did not transform, those who transformed had greater numbers of CD14+ cells present in their initial diagnostic biopsy (p=0.0415). When only patients who transformed were considered, CD14+ cells in a follicular pattern was associated with a median time to transformation of 3.9 years, CD14+ cells in an interfollicular pattern had a median TTT of 4.9 years and CD14- specimens were associated with a median TTT of 6.2 years (p = 0.0322). The staining pattern for CD68 differed from that of CD14 and was not significantly associated with time to transformation. Conclusions: The presence of intratumoral CD14+ cells at diagnosis in follicular lymphoma is associated with subsequent disease transformation. Our results suggest that when CD14+ cells organize in the follicle, follicular lymphoma patients are likely to transform into DLBCL sooner. Further studies are therefore warranted to define the role of these cells in the tumor microenvironment during transformation to DLBCL. Disclosures: No relevant conflicts of interest to declare.

Abstract T-cell exhaustion plays an important role in attenuating the function of immune cells in B-cell non-Hodgkin's lymphoma (NHL) and PD-1 expression is typically used to identify exhausted T-cells. We have however previously shown that not all PD-1+ cells are exhausted and that PD-1 is differentially expressed on two distinct T-cell subpopulations, with high expression on T follicular helper cells and dim expression on exhausted T cells. Other markers are therefore needed to more clearly identify exhausted intratumoral T cells. To further define exhaustion of intratumoral T cells, we determined the co-expression, regulation and function of PD-1, TIM-3 and LAG-3 on CD4+ or CD8+ T cells by flow cytometry. Using biopsy specimens from follicular B-cell NHL, we found that the percentages of PD-1+ and TIM-3+ T cells were 53.1% (range: 17.2-81.2%, n=32) and 34.5% (range: 14.9-62.6%, n=34) in CD4+ T cells and 46.8% (range: 12.8-81.7%, n=32) and 40.4% (range: 15.0-78.4%, n=34) in CD8+ T cells, respectively. We observed that TIM-3 was predominantly expressed on PD-1dim T cells and TIM-3+ cells accounted for 40% of CD4+ PD-1dim or 45% of CD8+ PD-1dim T cells. Similarly, LAG-3 was variably expressed on intratumoral T cells from B-cell NHL. A median of 9.54% (range: 3.01-15.46, n=6) of CD4+ or 20.48% (7.93-33.9, n=8) of CD8+ T cells express LAG-3. We found that LAG-3+ T cells almost exclusively came from PD-1+ TIM-3+ cells, forming a defined population of intratumoral PD-1+ TIM-3+ LAG-3+ CD4+ or CD8+ T cells. While the majority of LAG-3+ T cells were effector memory T cells (CD45RA- CCR7-), some LAG-3-expressing T cells displayed a phenotype of terminally-differentiated T cells (CD45RA+ CCR7-). Functionally, the intratumoral TIM-3+ LAG-3+ T cells exhibited reduced capacity to produce cytokines (IL-2, IFN-γ) and granules (perforin, granzyme B). Similar to TIM-3, LAG-3 expression was strongly up-regulated on CD4+ or CD8+ T cells by IL-12, a cytokine that has been shown to induce T-cell exhaustion. Interestingly, we observed that while expression of TIM-3 on CD8+ T cells was upregulated by IL-12 at an early time point (day 1), LAG-3 was only induced after TIM-3 up-regulation (day 3) and almost exclusively on TIM-3+ T cells. Furthermore, we found that blockade of both TIM-3 and LAG-3 signaling was able to reverse the exhausted phenotype of CD8+ T cells resulting in increased IFN-γ and IL-2 production. This effect was further enhanced when CD8+ T cells were treated with both anti-TIM-3 and anti-LAG-3 Abs. Taken together, these results suggest that PD-1, TIM-3 and LAG-3 were involved in the induction of exhaustion of T cells in B-cell NHL. We find that PD-1, TIM-3 and LAG-3 are expressed on the same T cells and that blocking TIM-3 and LAG-3 can reverse T-cell exhaustion signaling. These results suggest that PD-1, TIM-3 and LAG-3 play a synergistic role in the development of T cell exhaustion in NHL. Disclosures No relevant conflicts of interest to declare.

Background:T cell Ig and ITIM domain (TIGIT) is an immune checkpoint molecule and a novel member of CD28 family. TIGIT is expressed on NK cells, effector and memory T cells, and Treg cells. Upon ligation with CD155, TIGIT delivers an inhibitory signal and negatively regulates anti-tumor responses. While important in normal T-cell biology, the expression and function of TIGIT in the blood and tumor microenvironment of patients with B-cell non-Hodgkin lymphoma (NHL) is completely unknown. Goal: To phenotypically and functionally characterize TIGIT+T cell subsets in B-cell NHL and compare expression of TIGIT on intratumoral T cells to normal controls. Results: In peripheral blood, TIGIT expression was not detected on resting T cells. In contrast, when we analyzed biopsy specimens from B-cell NHL patients, we observed that TIGIT is variably but highly expressed on a subset of intratumoral T cells. A median of 41.1% (range: 24.9-56.1, n=5) of CD4+ or 22.2% (range: 13.4-33.3, n=5) of CD8+ T cells from tumor specimens expressed TIGIT on the cell surface. In normal tonsil tissue, expression level of TIGIT was modest or negligible. A median of 12.0% (range: 9.1-15.8, n=5) of CD4+ or 3.9% (range: 1.3-5.7, n=5) of CD8+ T cells express TIGIT on the cell surface, which is significantly lower than that in B-cell NHL (p=0.005 and p=0.003 for CD4+ and CD8+, respectively). We observed that both CD45RA+ and CD45RA- T cells express TIGIT with the greatest expression on the CD45RA- population in B-cell NHL specimens. Furthermore, we found that TIGIT+ T cells coexpressed other immune checkpoint molecules including PD-1 and TIM-3. Functionally, TIGIT+ T cells displayed reduced cytokine production, as the number of IFN-γ- and IL-2-producing cells was lower in the TIGIT+ population than in TIGIT-T cells. Unlike TIM-3 that is coexpressed with PD-1 and whose expression is upregulated by IL-12, TIGIT expression is not upregulated by IL-12, suggesting that a different mechanism is involved in TIGIT upregulation in B-cell NHL. Conclusion: Taken together, these results indicated that TIGIT is highly expressed on intratumoral T cells in B-cell NHL and is expressed on a population of T-cells with suppressed immune function. TIGIT, while co-expressed with PD-1 and TIM-3, is not upregulated by cytokines such as IL-12, suggesting that it is regulated by an alternate pathway. Inhibition of TIGIT signaling may be an additional mechanism to prevent T-cell suppression and exhaustion in B-cell NHL. Disclosures No relevant conflicts of interest to declare.