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Peripheral T-cell lymphomas (PTCLs) represent a heterogeneous disease group accounting for 10% of non-Hodgkin lymphomas. PTCL patients have typically poorer outcomes compared to aggressive B-cell lymphomas. However, such outcomes are heavily dependent upon subtype. Although anthracycline-based regimens such as cyclophosphamide, doxorubicin, vincristine, and prednisone (CHOP) remain the standard first-line treatment for most aggressive PTCLs, there are important variations including incorporation of novel agents, use of radiotherapy and judicious consideration of stem cell transplantation. Relapsed or refractory disease represents a significant area of unmet need where chemotherapy intensification has limited efficacy and novel agents such as brentuximab vedotin and pralatrexate provide additional opportunities for attainment of remission and potential stem cell transplant. In the future, pre-therapy prognostic biomarkers including genomic characterisation, may aid in risk stratification and help guide initial patient management to improve survival. There is an urgent need to better understand the pathogenesis of PTCLs to facilitate novel drug combinatorial approaches to improve survival. This position statement represents an evidence-based synthesis of the literature for application in Australian and New Zealand practice. This article is protected by copyright. All rights reserved.

Recent data suggest the use of radiotherapy alone (RT) in Early-Stage Follicular Lymphoma is declining. Cost-effectiveness analysis of treatments has not been performed. We constructed a partitioning model (15-year horizon) to compare RT, combined-modality therapy (CMT) and immunochemotherapy with rituximab maintenance (ICT + RM) from a PET-staged cohort from the Australian Lymphoma Alliance. Lifetime direct health care costs, quality-adjusted life-years (QALYs) and incremental cost-effectiveness ratios (ICERs) were calculated. AUD $75,000 was defined as the willingness-to-pay threshold (WTP). The direct healthcare costs were: RT $12,791, CMT $29,391 and ICT + RM $42,644. Compared with RT, CMT demonstrated minimal improvement in QALYs (+0.01) and an ICER well above the WTP threshold ($1,535,488). Compared with RT, ICT + RM demonstrated an improvement in QALYs (+0.41) with an ICER of $73,319. Modeling a 25% cost reduction with a rituximab biosimilar led to further ICER reductions with ICT + RM ($52,476). ICT + RM is cost-effective in early-stage FL from the Australian taxpayer perspective.

There are limited data on post-transplant lymphoproliferative disorder (PTLD) in the era of positron emission tomography (PET) and rituximab (R). Furthermore, there is limited data on the risk of graft rejection with modern practices in reduction in immunosuppression (RIS). We studied 91 patients with monomorphic diffuse large B-cell lymphoma PTLD at 11 Australian centers: median age 52 years, diagnosed between 2004 and 2017, median follow-up 4.7 years (range, 0.5–14.5 y). RIS occurred in 88% of patients. For patients initially treated with R-monotherapy, 45% achieved complete remission, rising to 71% with the addition of rituximab, cyclophosphamide, doxorubicin, vincristine, prednisolone (R-CHOP) for those not in complete remission. For patients initially treated with R-CHOP, the complete remission rate was 76%. There was no difference in overall survival (OS) between R-monotherapy and R-chemotherapy patients. There was no difference in OS for patients with systemic lymphoma (n = 68) versus central nervous system (CNS) involvement (n = 23) (3-y OS 72% versus 73%; P = 0.78). Treatment-related mortality was 7%. End of treatment PET was prognostic for patients with systemic lymphoma with longer OS in the PET negative group (3-y OS 91% versus 57%; P = 0.01). Graft rejection occurred in 9% (n = 4 biopsy-proven; n = 4 suspected) during the entire follow-up period with no cases of graft loss. RIS and R-based treatments are safe and effective with a low likelihood of graft rejection and high cure rate for patients achieving complete remission with CNS or systemic PTLD.

Data on the prognostic impact of pretherapy 18F-fluorodeoxyglucose–positron emission tomography (FDG-PET) in follicular lymphoma (FL) is conflicting. The predictive utility of pretherapy total metabolic tumor volume (TMTV) and maximum standardized uptake value (SUVmax) on outcome appears to vary between regimens. Chemoimmunotherapies vary in the extent of T-cell depletion they induce. The role of intratumoral T cells on pretherapy FDG-PET parameters is undefined. We assessed pretherapy FDG-PET parameters and quantified intratumoral T cells by multiple methodologies. Low intratumoral T cells associated with approximately sixfold higher TMTV, and FL nodes from patients with high TMTV showed increased malignant B-cell infiltration and fewer clonally expanded intratumoral CD8+ and CD4+ T-follicular helper cells than those with low TMTV. However, fluorescently labeled glucose uptake was higher in CD4+ and CD8+ T cells than intratumoral B cells. In patients with FDG-PET performed prior to excisional biopsy, SUVmax within the subsequently excised node associated with T cells but not B cells. In summary, TMTV best reflects the malignant B-cell burden in FL, whereas intratumoral T cells influence SUVmax. This may contribute to the contradictory results between the prognostic role of different FDG-PET parameters, particularly between short- and long-term T-cell–depleting chemoimmunotherapeutic regimens. The impact of glucose uptake in intratumoral T cells should be considered when interpreting pretherapy FDG-PET in FL.

Introduction Post-transplant lymphoproliferative disorders (PTLD) are aggressive lymphomas which occur in solid organ transplant recipients and cause significant mortality. In the era of positron emission tomography (PET) staging and rituximab (R), there is limited real-world data on treatment outcomes and the incidence of graft rejection after reduction in immunosuppression (RIS) has not been well defined. We report real-world outcomes of monomorphic diffuse large B cell lymphoma (DLBCL), the commonest histological subtype of PTLD in which treatment is most likely to be standardised. Methods We conducted a multicentre retrospective study across 11 Australian tertiary referral centres. Inclusion criteria were: (1) age ≥ 18 years with history of solid organ transplant; (2) a diagnosis of monomorphic DLBCL PTLD between January 2004 and December 2017; (3) staging with PET. We examined responses based on treatment: (1) 'R-primary' was defined as patients receiving initial rituximab monotherapy followed by further rituximab monotherapy for patients in remission or R-CHOP chemotherapy for patients with persistent or progressive disease; (2) 'R-chemotherapy' was defined as patients who received rituximab-based chemotherapy at diagnosis. Response assessment was defined according to current international lymphoma criteria (complete metabolic remission (CMR) = Deauville score 1-3). We examined the incidence of clinical and biopsy-proven graft rejection during and after PTLD diagnosis (early Results 91 DLBCL patients were identified. The median follow-up of living patients was 4.7 years (range 0.5-14.5 years). Baseline characteristics for all patients are shown in Table 1. Management approaches: Reduction in immunosuppression (RIS) was used in 88% of patients and rituximab (R) +/- chemotherapy in almost all patients (98%, n=89). Rituximab monotherapy (R-primary) was the first treatment in 24 patients (35%). Of these, 20 had PET restaging after rituximab and 9 patients (45%) achieved CMR and did not require chemotherapy. CMR rate rose to 71% with the subsequent addition of R-CHOP in R-primary non-responders. For patients initially treated with R-CHOP, the CMR rate was 76%. The incidence of graft rejection was 9% for the entire duration of follow up (n=4 biopsy-proven; n=4 clinically suspected) with 3 cases occurring within one year of PTLD diagnosis (Table 2). Survival and Prognostic Factors For the entire cohort, 3-y OS and PFS were 72% and 69%, respectively. There was no significant difference in OS between patients treated with an R-primary vs R-chemotherapy approach (P=0.13). Treatment-related mortality (TRM) was 7% with no significant difference between R-primary and R-chemotherapy approach (p=0.97). Outcomes for patients without CNS involvement (n=68) were comparable to patients with CNS involvement (n=23): 3-y OS 72.5% non-CNS vs 73.1% CNS; (P=0.78) - Figure 1. In multivariate analysis, elevated LDH (HR=3.58, P=0.025 [95% CI 1.17-10.8]) and ECOG ≥2 (HR=3.46, P=0.006 [95% CI 1.43-8.33]) were identified as predictors of worse OS. End of Treatment (EoT) PET imaging A total of 60 patients (66%) had EoT PET. Reasons for not performing an EoT PET (n=31) were: 7 MRI scans for CNS disease, 2 CT scans without PET, 10 patients without imaging (6 PD, 4 TRM), 12 missing data. Achieving CMR at EoT PET was predictive of OS (3-year OS PET negative 92.9% vs PET positive 51.4%; P=0.035) and only 5% of these patients relapsed (Figure 2). Conclusions In one of the largest real-world assessments of monomorphic DLBCL PTLD in the modern era of rituximab and PET imaging our data demonstrate: (1) similar response rate, OS and TRM compared to the PTLD-1 trial (Trappe et al, 2017); (2) the safety and efficacy of an R-primary approach; (3) similar OS for patients with CNS involvement compared to those with systemic lymphoma; (4) lower incidence of graft rejection than previously reported; and (5) achieving CMR at EOT PET is predictive of OS. This demonstrates that RIS and rituximab-based treatment is safe with a low likelihood of graft rejection and effective with a high cure rate for patients achieving CMR. Disclosures Tobin: Gilead: Research Funding. Hamad:Novartis: Honoraria; Abbvie: Honoraria. Talaulikar:Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Research Funding; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Cheah:Celgene, F. Hoffmann-La Roche, Abbvie, MSD: Research Funding; Celgene, F. Hoffmann-La Roche, MSD, Janssen, Gilead, Ascentage Pharma, Acerta, Loxo Oncology, TG therapeutics: Honoraria. Lee:Celgene/BMS: Consultancy; Amgen: Consultancy; Janssen: Consultancy. Strasser:Gilead Sciences: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bayer Healthcare: Honoraria, Membership on an entity's Board of Directors or advisory committees; Ispen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Eisai: Honoraria, Membership on an entity's Board of Directors or advisory committees; MSD: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees; CSL Behring: Honoraria, Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Astellas: Honoraria, Membership on an entity's Board of Directors or advisory committees. Mollee:Pfizer: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS/Celgene: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Caelum: Membership on an entity's Board of Directors or advisory committees.

Management practices in early-stage (I/II) follicular lymphoma (FL) are variable and include radiation (RT), systemic therapy, or combined modality therapy (CMT). There is a paucity of data regarding maintenance rituximab in this cohort. We conducted an international retrospective study of patients with newly diagnosed early-stage FL staged with positron emission tomography (PET)–computed tomography and bone marrow biopsy. Three hundred sixty-five patients (stage I, n = 221), median age 63 years, treated from 2005-2017 were included, with a median follow-up of 45 months. Management included watchful waiting (WW; n = 85) and active treatment (n = 280). The latter consisted of RT alone (n = 171) or systemic therapy (immunochemotherapy [n = 63] or CMT [n = 46]). Forty-nine systemically treated patients received maintenance rituximab; 72.7% of stage I patients received RT alone, compared to 42.6% with stage II (P < .001). Active therapies yielded comparable overall response rates (P = .87). RT alone and systemic therapy without maintenance rituximab yielded similar progression-free survival (PFS) (hazard ratio [HR], 1.32; 95% confidence interval [CI], 0.77-2.34; P = .96). Maintenance rituximab improved PFS (HR, 0.24; 95% CI, 0.095-0.64; P = .017). The incidence of transformation was lower with systemic therapy compared to RT or WW (HR, 0.20; 95% CI, 0.070-0.61; P = .034). Overall survival was similar among all practices, including WW (P = .40). In the largest comparative assessment of management practices in the modern era, variable practices each resulted in similar excellent outcomes. Randomized studies are required to determine the optimal treatment in early-stage FL.

PURPOSE Understanding the immunobiology of the 15% to 30% of patients with follicular lymphoma (FL) who experience progression of disease within 24 months (POD24) remains a priority. Solid tumors with low levels of intratumoral immune infiltration have inferior outcomes. It is unknown whether a similar relationship exists between POD24 in FL. PATIENTS AND METHODS Digital gene expression using a custom code set—five immune effector, six immune checkpoint, one macrophage molecules—was applied to a discovery cohort of patients with early- and advanced-stage FL (n = 132). T-cell receptor repertoire analysis, flow cytometry, multispectral immunofluorescence, and next-generation sequencing were performed. The immune infiltration profile was validated in two independent cohorts of patients with advanced-stage FL requiring systemic treatment (n = 138, rituximab plus cyclophosphamide, vincristine, prednisone; n = 45, rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone), with the latter selected to permit comparison of patients experiencing a POD24 event with those having no progression at 5 years or more. RESULTS Immune molecules showed distinct clustering, characterized by either high or low expression regardless of categorization as an immune effector, immune checkpoint, or macrophage molecule. Low programmed death-ligand 2 (PD-L2) was the most sensitive/specific marker to segregate patients with adverse outcomes; therefore, PD-L2 expression was chosen to distinguish immune infiltrationHI (ie, high PD-L2) FL biopsies from immune infiltrationLO (ie, low PD-L2) tumors. Immune infiltrationHI tissues were highly infiltrated with macrophages and expanded populations of T-cell clones. Of note, the immune infiltrationLO subset of patients with FL was enriched for POD24 events (odds ratio [OR], 4.32; c-statistic, 0.81; P = .001), validated in the independent cohorts (rituximab plus cyclophosphamide, vincristine, prednisone: OR, 2.95; c-statistic, 0.75; P = .011; and rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone: OR, 7.09; c-statistic, 0.88; P = .011). Mutations were equally proportioned across tissues, which indicated that degree of immune infiltration is capturing aspects of FL biology distinct from its mutational profile. CONCLUSION Assessment of immune-infiltration by PD-L2 expression is a promising tool with which to help identify patients who are at risk for POD24.

Tumor heterogeneity complicates biomarker development and fosters drug resistance in solid malignancies. In lymphoma, our knowledge of site-to-site heterogeneity and its clinical implications is still limited. Here, we profiled 2 nodal, synchronously acquired tumor samples from 10 patients with follicular lymphoma (FL) using single-cell RNA, B-cell receptor (BCR) and T-cell receptor sequencing, and flow cytometry. By following the rapidly mutating tumor immunoglobulin genes, we discovered that BCR subclones were shared between the 2 tumor sites in some patients, but in many patients, the disease had evolved separately with limited tumor cell migration between the sites. Patients exhibiting divergent BCR evolution also exhibited divergent tumor gene-expression and cell-surface protein profiles. While the overall composition of the tumor microenvironment did not differ significantly between sites, we did detect a specific correlation between site-to-site tumor heterogeneity and T follicular helper (Tfh) cell abundance. We further observed enrichment of particular ligand-receptor pairs between tumor and Tfh cells, including CD40 and CD40LG, and a significant correlation between tumor CD40 expression and Tfh proliferation. Our study may explain discordant responses to systemic therapies, underscores the difficulty of capturing a patient’s disease with a single biopsy, and furthers our understanding of tumor-immune networks in FL.

Recent data suggests the use of radiotherapy alone (RT) in Early-Stage Follicular Lymphoma is declining. Cost-effectiveness analysis of treatments has not been performed. We constructed a partitioning model (15-year horizon) to compare RT, combined-modality therapy (CMT) and immunochemotherapy with rituximab maintenance (ICT+RM) from a PET-staged cohort from the Australian Lymphoma Alliance. Lifetime direct health care costs, quality-adjusted life-years (QALYs) and incremental cost-effectiveness ratios (ICERs) were calculated. AUD $75,000 was defined as the willingness-to-pay threshold (WTP). The direct healthcare costs were: RT $12,791, CMT $29,391 and ICT+RM $42,644. Compared with RT, CMT demonstrated minimal improvement in QALYs (+0.01) and an ICER well above the WTP threshold ($1,535,488). Compared with RT, ICT+RM demonstrated an improvement in QALYs (+0.41) with an ICER of $73,319. Modelling a 25% cost reduction with a rituximab biosimilar led to further ICER reductions with ICT+RM ($52,476). ICT+RM is cost-effective in early stage FL from the Australian taxpayer perspective.

Primary central nervous system lymphoma (PCNSL) is confined to the brain, eyes, and cerebrospinal fluid without evidence of systemic spread. Rarely, PCNSL occurs in the context of immunosuppression (eg, posttransplant lymphoproliferative disorders or HIV [AIDS-related PCNSL]). These cases are poorly characterized, have dismal outcome, and are typically Epstein-Barr virus (EBV)-associated (ie, tissue-positive). We used targeted sequencing and digital multiplex gene expression to compare the genetic landscape and tumor microenvironment (TME) of 91 PCNSL tissues all with diffuse large B-cell lymphoma histology. Forty-seven were EBV tissue-negative: 45 EBV− HIV− PCNSL and 2 EBV− HIV+ PCNSL; and 44 were EBV tissue-positive: 23 EBV+ HIV+ PCNSL and 21 EBV+ HIV− PCNSL. As with prior studies, EBV− HIV− PCNSL had frequent MYD88, CD79B, and PIM1 mutations, and enrichment for the activated B-cell (ABC) cell-of-origin subtype. In contrast, these mutations were absent in all EBV tissue-positive cases and ABC frequency was low. Furthermore, copy number loss in HLA class I/II and antigen-presenting/processing genes were rarely observed, indicating retained antigen presentation. To counter this, EBV+ HIV− PCNSL had a tolerogenic TME with elevated macrophage and immune-checkpoint gene expression, whereas AIDS-related PCNSL had low CD4 gene counts. EBV-associated PCNSL in the immunosuppressed is immunobiologically distinct from EBV− HIV− PCNSL, and, despite expressing an immunogenic virus, retains the ability to present EBV antigens. Results provide a framework for targeted treatment.

Summary Tumor cells orchestrate their microenvironment. Here, we provide biochemical, structural, functional, and clinical evidence that Cathepsin S (CTSS) alterations induce a tumor-promoting immune microenvironment in follicular lymphoma (FL). We found CTSS mutations at Y132 in 6% of FL (19/305). Another 13% (37/286) had CTSS amplification, which was associated with higher CTSS expression. CTSS Y132 mutations lead to accelerated autocatalytic conversion from an enzymatically inactive profrom to active CTSS and increased substrate cleavage, including CD74, which regulates major histocompatibility complex class II (MHC class II)-restricted antigen presentation. Lymphoma cells with hyperactive CTSS more efficiently activated antigen-specific CD4+ T cells in vitro. Tumors with hyperactive CTSS showed increased CD4+ T cell infiltration and proinflammatory cytokine perturbation in a mouse model and in human FLs. In mice, this CTSS-induced immune microenvironment promoted tumor growth. Clinically, patients with CTSS-hyperactive FL had better treatment outcomes with standard immunochemotherapies, indicating that these immunosuppressive regimens target both the lymphoma cells and the tumor-promoting immune microenvironment.

Blockade of the PD-1 axis has modest efficacy in diffuse large B-cell lymphoma (DLBCL), but data regarding LAG3 are sparse. The impact of LAG3 digital gene expression was tested in 309 patients with DLBCL treated with standard chemoimmunotherapy. Cellular distribution of LAG3 protein was determined by immunohistochemistry and flow cytometry. In tumor-infiltrating lymphocytes (TILs), LAG3 expression was highest on CD4+ regulatory T cells (Tregs) and was also highly expressed on CD8+ T cells compared with CD4+ non-Tregs (both P = .008). LAG3high TILs were enriched in PD-1 and TIM-3. LAG3 was also expressed on a proportion of malignant B cells, and these patients had significantly higher LAG3 messenger RNA in their biopsies (P = .03). LAG3high gene expression was associated with inferior survival in discovery/validation cohorts, independent of cell of origin and the international prognostic index. Patients who were PD-L1high were fivefold more likely to be LAG3high (P < .0001). Patients who were LAG3high/PD-L1high had an inferior progression-free survival (P = .011) and overall survival (P = .005) compared with patients who were LAG3low/PD-L1high. Digital spatial protein analysis confirms LAG3 expression on T cells and, surprisingly, tumor-associated macrophages (TAMs) at higher levels than found on CD20+ B cells in the tumor microenvironment. LAG3 is frequently expressed on CD4+ Tregs and CD8+ TILs, typically with other immune checkpoints, and is also present in a proportion of malignant B cells in DLBCL and in areas enriched for TAMs. LAG3high expression is associated with poor outcome independent of conventional prognosticators.

// Colm Keane 1, 2 , Joshua Tobin 1, 2 , Dipti Talaulikar 3, 4 , Michael Green 5 , Pauline Crooks 6 , Sanjiv Jain 3, 4 and Maher Gandhi 1, 2 1 University of Queensland Diamantina Institute, Translational Research Institute, University of Queensland, Brisbane, Queensland, Australia 2 Princess Alexandra Hospital, Brisbane, Queensland, Australia 3 Canberra Hospital, Canberra, Australian Capital Territory, Australia 4 Australian National University Medical School, Canberra, Australian Capital Territory, Australia 5 MD Anderson Cancer Centre, Houston, Texas, USA 6 Queensland Institute of Medical Research, Brisbane, Queensland, Australia Correspondence to: Colm Keane, email: c.keane@uq.edu.au Keywords: DLBCL; tumor microenvironment Received: January 15, 2018 Accepted: April 06, 2018 Published: May 04, 2018 ABSTRACT Purpose: To test the utility of the circulating Lactate Dehydrogenase (LDH) to absolute lymphocyte count (ALC) ratio (LAR) to predict outcome to conventional first-line chemo-immunotherapy in Diffuse Large B-cell Lymphoma (DLBCL), and investigate its correlation to the tumour immune microenvironment (TME). Experimental Design: A population based cohort of 210 patients (median age: 64, range 18-90 years) with median follow up 3.8 years was analysed. All patients were treated with R-CHOP, and no immunosuppression related cases were included. Tissue for nanoString gene expression was available in 141. Results: High (i.e. adverse) LAR was associated with inferior progression free and overall survival (PFS 45% vs. 78%; OS 56% vs 86%, both p

Nodular lymphocyte predominant Hodgkin lymphoma (NLPHL) comprises 5% of all Hodgkin lymphomas (HL). Its biology remains poorly characterized. Like classical HL (cHL), it contains minimal malignant cells embedded within a T cell rich intra-tumoral microenvironment (TME). Unlike cHL, it can transform to diffuse large B cell lymphoma (DLBCL). Immune-checkpoint blockade is effective in cHL but has minimal activity in DLBCL. No data is currently available regarding the potential to reactivate host anti-tumoral activity via immune-checkpoint blockade in NLPHL. Diagnostic FFPE samples from 49 NLPHL patients retrospectively collected from 4 Australian centres were interrogated. Inclusion criteria were sample availability and centrally confirmed histological NLPHL. Characteristics were in line with the literature: median age 45 years, range 13-82 years; F:M 1:3.5; stage I/II 55%, III/IV 35% (10% stage unknown) with the majority of cases were of immuno-architectural types A or C. RNA was digitally quantified using the NanoString 770-gene PanCancer Immune panel. Multi-spectral immunofluorescent (mIF) microscopy, plasma soluble PD-1 quantification, cell sorting, T cell receptor (TCR) repertoire analysis and functional immuno-assays were also performed. Results were compared with samples from 38 cHL and 35 DLBCL patients. We initially compared gene expression of NLPHL and cHL, looking for molecular similarities and differences. Ten non-lymphomatous nodes (NLN) were included as controls. Unsupervised clustering showed all but 3 NLPHL cases segregated from the cHL cluster. All NLN congregated in a discrete sub-cluster. As expected, RNA analysis showed significant enrichment for CD20 in NLPHL and CD30 in HL. Volcano plots (Fig. 1a), corrected for false-discovery showed marked variation in gene expression. For NLPHL (vs. cHL) there were 105 upregulated and 337 down regulated genes. Strikingly, the most significantly differentially over-expressed genes in NLPHL were all T cell related (CD247: CD3 zeta chain; CD3D: CD3 delta chain; GZMK: granzyme K; EOMES: marker of CD8 + T cell tolerance; and the immune checkpoints PDCD1: encodes for PD-1; and TIGIT). CD8B expression was increased in NLPHL. For cHL, the most over-expressed genes included macrophage-derived chemokines CCL17 and CCL22. Gene set enrichment analysis revealed activation of the PD-L1 expression and PD-1 checkpoint pathway and 9 of the top 10 Gene Ontology (GO) term enrichment scores involved lymphocyte signalling in NLPHL (Fig. 1b). To better appreciate the impact of the relevant immune checkpoints on their signalling axis, we compared gene ratios for PD-1 and TIGIT receptors with their ligands (PD-L1/L2 and PVR, respectively). NLPHL showed the highest enrichment ratios of these signalling pathways vs. cHL, DLBCL and NLN (Fig. 1c). Although it is known that CD4 +PD-1 +T cells form rosettes around NLPHL cells, the differential cellular localization of immune proteins has not been compared between HL entities. Using mIF, the proportion of intra-tumoral PD-1 + was markedly higher for CD4 + (~7-fold; p Finally, we developed a functional assay using PD-L1/PD-L2 expressing NLPHL and cHL cell lines. These were co-cultured with genetically engineered PD-1 +CD4 + T cells that express a luciferase reporter. Similar levels of heightened T cell activation were seen with immune-checkpoint blockade for both HL entities, indicating that immune-checkpoint inhibition may also be of benefit in NLPHL. In conclusion, our multi-faceted analysis of the immunobiological features of the TME in NLPHL, provides a compelling rationale for early phase clinical studies that incorporate immune-checkpoint blockade in NLPHL. Figure 1 Figure 1. Disclosures Hawkes: Bristol Myers Squib/Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Specialised Therapeutics: Consultancy; Merck KgA: Research Funding; Merck Sharpe Dohme: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Antigene: Membership on an entity's Board of Directors or advisory committees; Regeneron: Speakers Bureau; Janssen: Speakers Bureau; Gilead: Membership on an entity's Board of Directors or advisory committees; Astra Zeneca: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Roche: Membership on an entity's Board of Directors or advisory committees, Other: Travel and accommodation expenses, Research Funding, Speakers Bureau. Swain: Janssen: Other: Travel expenses paid; Novartis: Other: Travel expenses paid. Keane: BMS: Research Funding; Gilead: Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy; Karyopharm: Consultancy; MSD: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Talaulikar: Takeda: Honoraria, Research Funding; Amgen: Honoraria, Research Funding; Jansenn: Honoraria, Research Funding; Roche: Honoraria, Research Funding; EUSA Pharma: Honoraria, Research Funding. Gandhi: janssen: Research Funding; novartis: Honoraria.

Neoantigens are generated by mutations acquired in malignant cells. To be immunogenic, neoantigen peptides must be processed and then presented by HLA molecules on the tumor cell surface to evoke a T cell response. Emerging evidence suggests neoantigens are promising new targets of personalised cancer immunotherapies, provided that antigen presentation remains intact. Recently, we (Tobin, JCO 2019) demonstrated the link between the tumor microenvironment (TME) and clinical outcome in patients with advanced-stage Follicular Lymphoma (ASFL). In particular, ASFL patients with favorable outcomes had high levels of immune infiltration (best stratified by PD-L2 expression) with increased intratumoral CD8+ T cell clonotypes suggestive of expanded antigen-specific T cells in response to presentation by HLA class I neoantigens. This is supported by HLA class I pathway genetic aberrations being infrequent (unlike HLA class II) in FL. However, to date there is minimal data on the frequency and nature of putative neoantigens, their relationship with HLA class I antigen presentation and with the TME in any stage of FL. In particular, the immunobiology of early-stage FL (ESFL) has been largely neglected. Here, we present detailed characterization of these parameters in patients with early-stage FL (ESFL) from the TROG99.03 prospective clinical trial (MacManus, JCO 2018). Digital multiplex gene expression (770 gene PanCancer Immune Panel, NanoString) and targeted NGS (365 genes recurrently mutated in hematological malignancies) was performed on 97 FFPE diagnostic tissue samples. Intratumoral CD8A expression cut-off derived by maximally selected rank statistics was associated with >2-fold differential median PFS (CD8Ahi: 11.5 years vs. CD8Alo: 4.9 years, p=0.0042, Figure 1A). In keeping with a relationship between HLA class I immune effector infiltration within the TME and FL tumor antigen presentation/processing, expression of NLRC5 (a transcriptional activator of HLA class I) was also associated with differential median PFS (NLRC5hi: 10.8 years vs. NLRC5lo: 4.9 years, p=0.021, Figure 1B). The impact of expression of CD8A and NLRC5 were independent of mutations in BCL-2,TP53 and all but of one the m7-FLIPI genes. The exception was EZH2, mutations of which were enriched in cases with reduced CD8A (p=0.0066) and NLRC5 (p Next, we investigated the expression of HLA class I and predicted neoantigens. HLA genotyping was performed using a custom sequencing panel on matched germline peripheral blood DNA for 71 TROG99.03 diagnostic samples. For the corresponding somatic coding variants, the strongest HLA class I binding efficiencies were calculated using 8 epitope prediction algorithms. 41% of samples had no detectable neoantigens, whereas 59% of samples had ≥1 neoantigens detected, with 116 neoantigens total. Importantly, unsupervised hierarchical clustering showed 2-fold enrichment of samples with neoantigens among those with elevated HLA A/B expression vs. samples with low HLA A/B (p=0.0023, Figure 1C). Interestingly, roughly one third of neoantigens were due to indels causing frameshift events resulting in the generation of 'non-self' peptides with strong predicted binding affinity. Recently TCGA data has been used to show that frameshift variants occurring at different sites in a gene can converge to generate a handful neo open reading frame peptides ('NOPs') common to multiple cancer patients. Therefore, it has been postulated that these NOPs could have a considerable therapeutic potential as a novel pan-cancer 'semi-personalized' immunotherapy. In keeping with data derived in solid tumors, in ESFL we observed frameshift variants were most frequently observed in KMT2D. Finally, 5 relapsed/transformed FL samples were compared to their paired diagnostic tissue samples. Not only did neoantigens present at diagnosis typically remain detectable, but in several cases additional neoantigens were also found. In summary, we demonstrate for the first time in ESFL that neoantigens are typically associated with intact HLA class I presentation; CD8 infiltration within the TME is related to tumor antigen processing and associated with favorable outcomes; and that a subset of FL tumors have NOPs. These data have important implications for the design of innovative next-generation immunotherapies in FL. Disclosures Keane: BMS: Research Funding; Celgene: Honoraria, Other: Travel; Roche: Honoraria, Other: Travel, Speakers Bureau; MSD Oncology: Honoraria, Other: Travel; Gilead: Honoraria, Other: Travel, Speakers Bureau. Blombery:Amgen: Consultancy; Novartis: Consultancy; Janssen: Honoraria; Invivoscribe: Honoraria. Tobin:Gilead: Research Funding. Seymour:Nurix: Honoraria; Morphosys: Consultancy, Honoraria; Mei Pharma: Consultancy, Honoraria; Gilead: Consultancy; AstraZeneca: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Honoraria, Research Funding; F. Hoffmann-La Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Research Funding; AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Gandhi:Celgene: Research Funding; Bristol-Myers Squibb: Research Funding; Merck Sharp & Dohme: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria; Gilead Sciences: Honoraria; Genentech: Honoraria; Mater Research: Current Employment; Janssen-Cilag: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Other: Travel, accommodation, expenses .

Background: Radiation therapy (RT) has been considered the standard of care for front-line management for early-stage follicular lymphoma. Recent data suggests the use of RT is declining with more than half the patients receiving immunochemotherapy (ICT) with or without rituximab maintenance (RM). Cost-effectiveness analysis of these treatments has not been performed. Methods: We constructed a four-state partitioned survival model over a 15-year time horizon to compare RT alone, ICT and ICT+RM. The model was based on a real-world cohort of early-stage FL patients, staged using 18F-fluorodeoxyglucose positron emission tomography,from the Australasian Lymphoma Alliance. Lifetime direct health care costs, quality-adjusted life-years (QALYs) and incremental cost-effectiveness ratios (ICERs) were calculated from an Australian tax-payer perspective. A pre-specified value of AUD $75,000 was defined as the willingness-to-pay (WTP) threshold reflecting recent approvals for therapeutics for indolent lymphoproliferative diseases in Australia. Results: Assuming 5% annual discounting the direct healthcare costs were: RT $14,480, ICT $22,171, ICT+RM $42,830 (Table 1). Compared with RT, ICT demonstrated an improvement in QALYs (+0.17) and an ICER of $44,879. Compared with RT, ICT+RM demonstrated a larger improvement in QALYs (+0.53) with an ICER of $53,062. Modelling a 25% cost reduction with a rituximab biosimilar led to further ICER reductions: ICT ($29,078); ICT+RM ($37,810). Conclusion: Although the initial healthcare-associated costs were higher than RT, over a 15-year horizon ICT and ICT+RM are cost-effective treatments in early stage FL from the Australian tax-payer perspective. Although the costs may differ internationally, the results remain broadly generalisable given the costs incurred related to time in the failure-free state. Table 1:Comparison of healthcare costs, quality-adjusted life-years and cost-effectiveness between front-line therapies in early stage FL Table 1 Disclosures Tobin: Gilead: Research Funding. Gandhi:Gilead Sciences: Honoraria; Mater Research: Current Employment; Janssen-Cilag: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Other: Travel, accommodation, expenses ; Genentech: Honoraria; Amgen: Honoraria; Merck Sharp & Dohme: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Research Funding; Celgene: Research Funding. Mollee:Amgen: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Caelum: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS/Celgene: Membership on an entity's Board of Directors or advisory committees.

B-cell non-Hodgkin’s lymphoma (B-NHL) encompasses multiple clinically and phenotypically distinct subtypes of malignancy with unique molecular etiologies. Common subtypes of B-NHL such as diffuse large B-cell lymphoma (DLBCL) have been comprehensively interrogated at the genomic level. But rarer subtypes such as mantle cell lymphoma (MCL) remain sparsely characterized. Furthermore, multiple B-NHL subtypes have thus far not been comprehensively compared using the same methodology to identify conserved or subtype-specific patterns of genomic alterations. Here, we employed a large targeted hybrid-capture sequencing approach encompassing 380 genes to interrogate the genomic landscapes of 685 B-NHL tumors at high depth; including DLBCL, MCL, follicular lymphoma (FL), and Burkitt lymphoma (BL). We identified conserved hallmarks of B-NHL that were deregulated in the majority of tumor from each subtype, including the frequent genetic deregulation of the ubiquitin proteasome system (UPS). In addition, we identified subtype-specific patterns of genetic alterations, including clusters of co-occurring mutations and DNA copy number alterations. The cumulative burden of mutations within a single cluster were more discriminatory of B-NHL subtypes than individual mutations, implicating likely patterns of genetic cooperation that contribute to disease etiology. We therefore provide the first cross-sectional analysis of mutations and DNA copy number alterations across major B-NHL subtypes and a framework of co-occurring genetic alterations that deregulate genetic hallmarks and likely cooperate in lymphomagenesis.

The dependence of cancer on an immunotolerant tumor microenvironment (TME) is well established. Immunotherapies that overcome tumor-induced immune suppression have been central to recent advancements in oncology. This is highlighted by the success of agents that interrupt PD-1 mediated immune suppression in a range of cancers. However, while PD-1 blockade has been paradigm-shifting in many malignancies, the majority of cancers show high rates of primary resistance to this approach. This has led to a rapid expansion in therapeutic targeting of other immune checkpoint molecules to provide combination immune checkpoint blockade (ICB), with one such promising approach is blockade of Lymphocyte Activation Gene 3 (LAG-3). Clinically, lymphoproliferative disorders show a wide spectrum of responses to ICB. Specific subtypes including classical Hodgkin lymphoma have demonstrated striking efficacy with anti-PD-1 therapy. Conversely, early trials of ICB have been relatively disappointing in common subtypes of Non-Hodgkin lymphoma. In this review, we describe the TME of common lymphoma subtypes with an emphasis on the role of prominent immune checkpoint molecules PD-1 and LAG3. We will also discuss current clinical evidence for ICB in lymphoma and highlight key areas for further investigation where synergistic dual checkpoint blockade of LAG-3 and PD-1 could be used to overcome ICB resistance.

Introduction. Intra-tumoral T-cell infiltration is associated with R-CHOP responsiveness in aggressive B-cell lymphoma (Keane, Lancet Haem 2015). These patients also have a broad (i.e. diverse) intra-tumoral T-cell receptor (TCR) repertoire with a ~20% superior survival compared to those with a narrow (i.e. clonal) repertoire after R-CHOP therapy. Here, the major contributor to the TCR clonal expansion were CD8+ T cells (Keane, CCR 2017). Paradoxically, our recent results in Follicular Lymphoma (FL) (Tobin, JCO in press) found that clonal T-cell expansions were markedly enriched in those patients that experienced progression of disease within 24 months (POD24). Given that FL is a histological subtype associated with a tumor microenvironment distinct from DLBCL including numerous CD4+ T-follicular helper cells (TFH), we now expand upon these findings by comparing TCR repertoires across histological subtypes. We then established whether the TCR repertoire in FL is related to differential TCR clonal expansions between different T-cell subsets and immune checkpoints. Finally, the overlap between tissue and blood TCR repertoires was investigated. Methods. Firstly, unbiased, high-throughput TCRβ sequencing (ImmunoSEQ, Adaptive Biotechnologies) was compared in 164 FFPE tissues (12 healthy nodes, 40 FL, 88 DLBCL, and as a comparator tumor known to be sensitive to checkpoint blockade and to have a high neoantigen burden, 24 melanoma tissues). Next, to determine the contribution of individual T-cell subsets to overall clonality, a further 21 fresh de-aggregated/cryopreserved FL tumor samples were FACS sorted into four T-cell groupings: CD8+ cytotoxic T-lymphocytes (CTLs), CD4+ TFH, CD4+ regulatory T-cells (TREGs) and 'other' (non-TFH/TREG) CD4+ T-cells. Flow cytometry quantified the expression of the checkpoints LAG3, TIM3 and PD1. Then, 5 FL paired tissue/blood samples were tested for shared TCR clones. Results. FL exhibited strikingly reduced TCR repertoire clonality (higher diversity) compared to DLBCL, melanoma and healthy lymph nodes (Fig 1A). Analysis of de-aggregated sorted nodal T-cells revealed a more complex TCR repertoire. The outcome measure was median clonality index (CIx ranging from '0' or minimal, to '1' or maximal clonality). Large T-cell clones in FL (CIx=0.12) predominantly resided within the CTL subset (34% all T-cells). By contrast, there was marked T-cell diversity in TFH (CIx=0.04; 27% all T-cells), TREG (CIx=0.02; 7% all T-cells) and 'other' CD4+ T-cells (CIx=0.02; 32% all T-cells) (Fig 1B). The CTL population had a bimodal expression for PD1 (+51%/-49%), a marker in FL that has been shown to remain functionally active unless co-expressed with LAG3 and/or TIM3 (Yang, Oncotarget 2017). These dual-checkpoint expressing CTLs have reduced capacity to produce cytokines or lytic granules (i.e. they are 'exhausted'). Notably, 54% of the PD1+ CTLs co-expressed either LAG3 or TIM3. Put together, these results are consistent with expanded CTL clones that are frequently functionally exhausted. In contrast, TFH, TREG and 'other' CD4+ T-cells had a low expression of LAG3 and TIM3, although PD1 was frequently found (as expected, particularly in the TFH cells). Finally, in paired tissue/blood samples, there was weak overlap between the circulating and intra-tumoral TCR repertoire in CTLs and TFH T-cells. Conclusion. Although FL has a markedly less clonal TCR repertoire compared to DLBCL, melanoma and even healthy nodes, this result is misleading. Detailed analysis on sorted intra-tumoral T-cell subsets in FL revealed large clonal expansions in CTLs, with approximately half of these classified as functionally exhausted (dual-positive for PD1 and LAG3 and/or TIM3), a state potentially amenable to reversal by dual-checkpoint blockade. The explanation for TCR repertoire diversity lies in CD4+ T-cells (representing approximately two-thirds of T-cells, including the large TFH subset). T-cells in blood did not reflect FL tissue T-cell clones, further highlighting the need for sorted intra-tumoral nodal tissues to accurately assess TCR repertoires in FL. Further characterization of the neo-antigenic targets that CTL clones potentially recognize is required. These results have implications for therapeutic vaccine design and selective recruitment of patients for immune checkpoint blockade. Disclosures Keane: MSD: Consultancy; Gilead: Consultancy; Celgene: Consultancy; Roche: Consultancy, Other: Travel Grant; BMS: Research Funding. Gandhi:Roche: Honoraria, Other: Travel Support; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria; Bristol Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Honoraria, Research Funding.

LAG3 is an immune checkpoint expressed on a variety of immune cells including a sub-population of 'exhausted' effector T cells and TREGs. Early-phase studies of anti-LAG3 mAb show promise in solid and haematological cancers. We have previously demonstrated LAG3 is enriched within the tumor microenvironment in Hodgkin Lymphoma (Gandhi et al. Blood 2006). Data in the aggressive B-cell lymphoma DLBCL is lacking. We used a conventional discovery/ validation approach in two population based Australian cohorts (discovery: Brisbane/Canberra; validation: Sydney) totalling 250 patients treated with R-CHOP with >4 year follow-up. Digital gene expression (NanoString) using a consistent LAG3 cut-off showed inferior 5-year overall survival (OS) in both cohorts (discovery: 54% vs. 82%, HR 3.13, p=0.003; validation: 63% vs. 86%, HR 2.95, p=0.025 respectively). In a multivariate model, LAG3HI(p=0.001) was a predictor of OS independent of R-IPI and Cell-of-Origin (by NanoString LST assay). PD-L1 expression was also a predictor of survival though to a lesser degree than LAG3. Notably, LAG3 expression stratified PD-L1HIpatients into two sub-groups with differential survival, with dual LAG3 and PD-L1 positivity conferring particularly poor OS (PD-L1HI/LAG3HI39% vs. 81% PD-L1HI/LAG3LO, HR 3.65, p=0.023). Next, the discovery/validation cohorts were combined with 129 additional DLBCL cases from the ALLG biobank (in whom tissue but no outcome data was available), to test for biological associations and correlations. In these 379 cases, LAG3HIwas enriched in the ABC/UC (66%) subtype vs. LAG3LO(p=0.003). LAG3 was positively correlated with numerous immune checkpoints/effectors including CD4, CD8, PD-1, PD-L1, PD-L2, TIM-3 and CD163 (all p LAG3 gene expression was highly correlated with protein expression by tissue microarray based immunohistochemistry (r=0.79, p Finally, levels of soluble LAG3 (sol-LAG3) were quantified within paired plasma of patients enrolled into the ALLG NHL21 PET-adapted prospective DLBCL study. Samples taken pre-therapy and following 4 cycles of R-CHOP (at the time of interim-PET) were compared. Sol-LAG3 levels were higher in patients with DLBCL at diagnosis compared to healthy controls (p In conclusion, high expression of LAG3 in DLBCL is enriched in the non-GCB phenotype, and is associated with poor outcome independent of clinical and biological prognosticators. Dual PD-L1HI/LAG3HIexpression confers particularly poor outcome after conventional front-line immuno-chemotherapy. Intratumoral LAG3 expression is high on PD-1+ CD8+ and TREG subsets. Sol-LAG3 appears to a circulating disease response biomarker. The results combined indicate a key role for LAG3 within the immunobiology of DLBCL and provide a strong rationale for early phase clinical trials utilising anti-LAG3 and anti-PD1 mAb combinations. Disclosures Keane: BMS: Research Funding; Roche: Other: Education Support, Speakers Bureau; Celgene: Consultancy, Research Funding; Takeda: Other: Educational Meeting; Merck: Consultancy. Gould:Novo Nordisk: Other: Educational Travel. Abro:Novartis: Consultancy; Amgen: Other: education support congress attendance; Janssen: Other: education support congress attendance; Bristol-Myers Squibb: Speakers Bureau; Celgene: Other: education support congress attendance. Tobin:Celgene: Research Funding; Amgen: Other: Educational Travel. Birch:Medadvance: Equity Ownership. Talaulikar:Novartis: Honoraria, Speakers Bureau; Janssen: Honoraria, Speakers Bureau; Takeda: Research Funding; Roche: Honoraria, Speakers Bureau; Amgen: Consultancy, Honoraria. Bird:Amgen, Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Hertzberg:Amgen: Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; MSD: Membership on an entity's Board of Directors or advisory committees. Gandhi:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Merck: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria; Takeda: Honoraria; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Membership on an entity's Board of Directors or advisory committees, Research Funding.

There is proven pre-clinical and clinical efficacy of mono or combinatorial immune strategies to boost host anti-lymphoma immunity, with classical Hodgkin Lymphoma (cHL) seen as the 'poster child'. Approaches include blockade of immune-checkpoints on exhausted tumor-specific T-cells (via mAb blockade of PD-1, TIM3, LAG3, TIGIT or their ligands), activation of T-cells via mAbs agonistic to CD137, and finally modulation of FOXP3, CTLA-4 and/or LAG3 regulatory T-cells (Tregs) or immunosuppressive tumor-associated macrophages (TAMs). In contrast, studies characterizing the circulating and intra-tumoral microenvironment (TME) of the distinct but rare CD20+ Hodgkin Lymphoma entity (5-8% of HL), Nodular Lymphocyte Predominant Hodgkin Lymphoma (NLPHL), are minimal. Furthermore, to our knowledge no functional profiling studies comparing the host immunity of NLPHL with cHL has been performed. We compared host immunity in 29 NLPHL patients, 30 cHL patients and 10 healthy individuals, with a focus on pertinent and clinically actionable immune parameters. Paraffin-embedded tissue and paired (pre- and post-therapy) peripheral blood mononuclear cells samples were interrogated by digital multiplex hybridization (Nanostring Cancer Immune Profiling Panel) and flow cytometry. Although cytotoxic T-cell gene counts (CD8a, CD8b) were similar, compared to cHL there were higher levels of the immune effector activation marker CD137 (gene counts 439 vs. 287; P Flow cytometry profiling of immune subsets in peripheral blood showed findings consistent with findings in the TME. Specifically, there was elevation of multiple exhaustion markers within CD4, CD8, and NK immune effector cells, with a striking proportion of highly anergic dual-LAG3/PD-1 positive CD8+ T-cells. Also there was elevation of immune-suppressive monocyte/macrophages in cHL relative to NLPHL. Relative to healthy lymph nodes, there was prominent up-regulation of a range of T-cell associated exhaustion markers in both NLPHL and cHL, indicating dysregulated priming of effector immune responses and host immune homeostasis. Comparison between NLPHL and cHL illustrated that NLPHL had a myriad of features that marked its intratumoral TME as a unique immunobiological entity typified by elevated immune checkpoint markers and T-cells with a highly anergic phenotype. Put together, these findings indicate that distinct immune evasion mechanisms are operative within the TME of NLPHL, including markedly higher levels of multiple immune-checkpoints relative to cHL. In contrast, Treg subsets and immune-suppressive monocyte/macrophages were relatively lower than that seen in cHL. T-cells frequently had dual immune-checkpoint expression. The findings from this study provides a compelling pre-clinical rationale for targeting PD-1 or combinatory checkpoint inhibition in NLPHL and sets the basis for future 'chemo-free' rituximab + checkpoint inhibitor clinical trials. Disclosures Tobin: Amgen: Other: Educational Travel; Celgene: Research Funding. Birch:Medadvance: Equity Ownership. Keane:Takeda: Other: Educational Meeting; BMS: Research Funding; Roche: Other: Education Support, Speakers Bureau; Celgene: Consultancy, Research Funding; Merck: Consultancy. Gandhi:BMS: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Merck: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria; Takeda: Honoraria; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.

Background Stage I/II or early-stage follicular lymphoma (ESFL) is considered potentially curable with radiotherapy (XRT). While XRT does achieve local disease control in >90% of cases, more than half the patients (pts) relapse by 10 years (yr), generally outside of the radiation field. A recent randomized controlled trial (TROG 99.03) demonstrated that combined modality therapy (CMT), with sequential XRT and systemic therapy, significantly improved PFS but not overall survival (OS) compared to XRT alone in ESFL. However, only half the pts were staged with 18F‐FDG positron emission tomography and computed tomography (PET) and 58% of CMT pts did not receive rituximab.Compared with CT staging, 20-60% of cases are upstaged by PET. Consequentially, there are limitations in applying this trial to modern populations. Despite the support of current guidelines, only one third of pts in clinical practice are treated with XRT. This suggests a need to better understand the role of other treatments, including watchful waiting (WW), in the PETera. Our aim was to compare outcomes with real-world treatment approaches in rigorously staged ESFL patients. Methods We conducted an international, multicenterretrospective study of stage I and II FL pts rigorously staged with bone marrow biopsy and PET. Eligible pts were >18yr with newly-diagnosed grade 1-3A FL and ≥3 months follow up. Primary outcome measures were overall response rate (ORR), progression free survival (PFS), OS and risk of transformation. Survival curves were estimated with the Kaplan-Meier method and uni- and multi-variate analysis was performed using Cox regression model. Results A total of 387 pts treated at 13 Australian and 3 Canadian centres between 2005-2017 were studied. Median follow-up was 45 months (range 3.1 - 164.0).5-yrPFS and OS rates were 73.5% (95% CI 66.0-78.5) and 94.4% (95% CI 89.4-93.6) respectively. 22 patients had stage IE duodenal FL with 5-yr PFS and OS rates of 100% and 100% respectively. Considering the unique biology and favorable prognosis of duodenal FL, these cases were excluded from subsequent analyses. Treatment approaches 365 pts included WW (defined as absence of treatment within 6 months from diagnosis) (23.2%), XRT (46.8%), immunochemotherapy (17.2%) and CMT (12.6%). Treatment regimens were: R-CHOP (48.1%), R-CVP (24.4%), BR (9.9%), other (17.6%). First-line therapies for actively treated pts yielded comparable ORRs of 95.6%, 96.7% and 95.9% for XRT, immunochemotherapy and CMT, respectively (P=0.94). Overall, 18.2% of pts relapsed at distant sites, 88.2% of all relapses. Treatment cohorts differed in baseline clinical characteristics. WW pts were significantly older (P=0.007) but otherwise comparable to those treated actively. Compared to chemotherapy or CMT pts, those treated with XRT had more favorable features including fewer B symptoms (4.2% vs 11.2% p=0.029), bulk (≥7cm) (6.8% vs 25.3%, p Outcomes differed among treatment approaches. Active treatment was associated with superior PFS compared with WW pts (HR 0.54 p=0.004) however, 49.4% of WW pts remained untreated at 5-yrs (Fig 1a). Considering actively treated pts, systemic therapy (immunochemotherapy or CMT) was associated with superior PFS compared to XRT by univariate analysis (HR 0.49, p=0.009) (Fig 1b). This association remained after multivariate adjustment for bulk, B symptoms, nodal sites and stage (HR 0.41 p=0.002). Treatment with immunochemotherapy and CMT demonstrated a comparable PFS (p=0.2). Maintenance rituximab (n=45) was associated with superior PFS compared with observation after systemic therapy (HR 0.24, p=0.017). There were no differences in OS among treatment approaches (P=0.734). There was a higher incidence of transformation in XRT pts compared to systemic therapy pts (6.4% vs 1.6% p=0.046). Conclusion In the largest assessment of rigorously-staged ESFL pts in the PETera, pts treated with systemic therapy (chemotherapy or CMT) had a superior PFS and a lower rate of transformation compared to pts treated with XRT, although treatments were not randomized. These findings are similar to the TROG 99.03 trial and challenge the paradigm that ESFL should be uniformly treated with XRT alone. Half the pts observed from diagnosis remained treatment-free at 5-yrs, suggesting that WW may be appropriate in selected pts. Disclosures Tobin: Celgene: Research Funding; Amgen: Other: Educational Travel. Tam:Roche: Honoraria; Roche: Honoraria; Pharmacyclics: Honoraria, Travel funding; Pharmacyclics: Honoraria; Beigene: Honoraria, Other: Travel funding; Beigene: Honoraria, Other: Travel funding; AbbVie: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Gilead: Honoraria; Gilead: Honoraria; AbbVie: Honoraria, Research Funding. Abro:Amgen: Other: education support congress attendance; Celgene: Other: education support congress attendance; Bristol-Myers Squibb: Speakers Bureau; Janssen: Other: education support congress attendance; Novartis: Consultancy. Hawkes:Bristol Myers Squibb: Other: Speaker fee, Research Funding; Takeda: Other: Speaker fee; Astra Zeneca: Research Funding; Merck Sharpe Dohme: Research Funding; Merck KGA: Research Funding; Celgene: Other: Advisory board, Research Funding; Merck: Other: Advisory board; Roche: Other: Speaker fee; advisory board. Talaulikar:Amgen: Consultancy, Honoraria; Roche: Honoraria, Speakers Bureau; Janssen: Honoraria, Speakers Bureau; Takeda: Research Funding; Novartis: Honoraria, Speakers Bureau. Gandhi:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Merck: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria; Takeda: Honoraria; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Membership on an entity's Board of Directors or advisory committees, Research Funding.

In classical Hodgkin lymphoma (CHL) the tumor microenvironment (TME) is enriched in T cells that modulate antitumor immunity. PD1 blockade partially restores anti-tumoral T cell function, to induce impressive responses in a proportion of patients with relapsed/refractory CHL (Chen et al JCO 2017). Further characterisation of T cell immune evasion mechanisms in CHL will permit the rational development of enhanced immunotherapeutic strategies. Lymphocyte-activation gene 3 (LAG3) is a cell surface molecule known to be expressed on a subset of immune effector T cells and intratumoral regulatory T cells (Tregs) in solid-organ tumors, with combination PD1/LAG3 mAb blockade showing early promise (Ascierto et al 2017 JCO abst 9520). In contrast, data in haematological malignancies is limited, although it is known that LAG3+ T cells suppress anti-tumoral immunity in CHL and B-CLL (Gandhi et al Blood 2006; Shapiro et al Haematologica 2017). Interestingly, in B-CLL LAG3 is found on both T cells and malignant B cells. Whether Hodgkin Reed-Sternberg (HRS) cells express LAG3 is unknown. To characterise in detail intratumoral and circulating LAG3 in CHL we used a conventional discovery / validation approach. The local institutional discovery cohort was drawn from Princess Alexandra Hospital in Brisbane (Australia), and validated in samples from the prospective randomised phase III international "RATHL" trial (Johnson et al NEJM 2016). Firstly, LAG3 gene expression (GEP) was digitally quantified by NanoString in FFPE tissues in the discovery cohort and compared to normal control nodes and DLBCL tissues. Normalised LAG3 mRNA counts were 5-10-fold higher in CHL than in controls (P < 0.001) and 3-5-fold higher than in DLBCL (P < 0.001), whereas PD1 and TIM3 mRNA counts did not differ. In CHL samples LAG3 mRNA counts were markedly increased compared to PD-1 axis molecules and TIM3 (P < 0.001) (Figure 1a). Higher levels of LAG3 mRNA counts were correlated with infiltration by T cells (CD4 r = 0.55; P < 0.00001; CD8 r = 0.51, P < 0.0001), and macrophages (CD68 r = 0.45; P = 0.002). Findings were replicated in the RATHL cohort. Next, intratumoral LAG3 cellular distribution was established. Flow cytometry was used to quantify LAG3 in T cell subsets and CD30+CD3- HRS cells in 6 de-aggregated freshly frozen CHL nodes (TILs). LAG3 was evenly distributed between CD8+ T cells, CD127LOCD25HI natural-Tregs (nTregs) and CD127LOCD25LO induced-Tregs (iTregs), but with minimal expression on CD4 non-Tregs, with the latter constituting the majority of intratumoral T cells. LAG3+ T cells typically co-expressed PD1 and/or TIM3. LAG3 was expressed on CD30+CD3+ cells but not on CD30+CD3- cells, consistent with LAG3 expression on activated T cells. Multispectral immunofluorescence (mIF) image analysis confirmed these findings in histological tumor samples (Figure 1b). Also, there was negligible expression of LAG3 on HRS-lines. Finally, the potential role of soluble LAG3 (sLAG3) as a rapid-turnaround circulating biomarker applicable to the routine diagnostic laboratory, was assessed in serum samples using the MSD R-PLEX assay. In the discovery cohort sLAG3 was 3-4-fold increased at pre-therapy compared to controls and 3-6M post-therapy serum (P = 0.001). Results from pre-therapy RATHL serum samples were similar (P < 0.05). Notably in RATHL samples at interim restaging after 2 ABVD cycles sLAG3 had reduced by ~5-fold compared to pre-therapy (P < 0.0001) in patients with PET/CT responsive disease (Figures 1 c + d). Twelve months post therapy sLAG remained significantly lower than pre-therapy (P < 0.05) and was equivalent to control samples. Pre-therapy serum sLAG3 demonstrated a modest correlation with tissue LAG3 mRNA counts (r = 0.45; P = 0.02). In conclusion in CHL, LAG3 mRNA expression was markedly increased relative to control and DLBCL tissues. Within CHL tissues LAG3 mRNA was markedly increased compared to other immune checkpoint molecules. Interrogation of the TME using flow cytometry of TILs and mIF demonstrated LAG3 is evenly distributed between CD8+, nTregs and iTRreg. In tumor samples we did not find evidence of LAG3 expression on HRS cells. To our knowledge this is the first study to demonstrate sLAG3 as a cell free circulating disease response biomarker in CHL. Taken together these findings provide a convincing rationale for further exploration of single and/or combined checkpoint blockade incorporating LAG3 inhibition to treat CHL. Disclosures Abro: Bristol-Myers Squibb: Speakers Bureau; Janssen: Other: education support congress attendance; Celgene: Other: education support congress attendance; Novartis: Consultancy; Amgen: Other: education support congress attendance. Keane:BMS: Research Funding; Roche: Other: Education Support, Speakers Bureau; Celgene: Consultancy, Research Funding; Takeda: Other: Educational Meeting; Merck: Consultancy. Birch:Medadvance: Equity Ownership. Tobin:Amgen: Other: Educational Travel; Celgene: Research Funding. Johnson:Kite: Consultancy; Celgene: Honoraria; Eisai: Research Funding; Incyte: Consultancy; Takeda: Honoraria, Travel, accommodations, expenses; Janssen: Consultancy, Research Funding; Genmab: Consultancy; Novartis: Honoraria; Zenyaku Kogyo: Other: Travel, accommodations, expenses; Bristol-Myers Squibb: Honoraria; Boeringher Ingelheim: Consultancy; Epizyme: Consultancy, Honoraria, Research Funding. Trotman:F. Hoffman-La Roche: Other: Travel to meeting, Unremunerated member of Ad Board, Research Funding; PCYC: Research Funding; Janssen: Other: Unremunerated member of Ad Board, Research Funding; Takeda: Other: Unremunerated member of Ad Board; Celgene: Other: Unremunerated member of Ad Board, Research Funding; Beigene: Research Funding. Bird:Amgen, Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Gill:Janssen: Other: TRAVEL, ACCOMMODATIONS, EXPENSES, Speakers Bureau. Gandhi:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Merck: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria; Takeda: Honoraria; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Membership on an entity's Board of Directors or advisory committees, Research Funding.

Follicular Lymphoma (FL) is the most common indolent Non-Hodgkin Lymphoma. Despite generally favorable survival outcomes, 20% of FL patients experience 'Progression of Disease within 24 months' (POD24) and subsequently have poor long-term overall survival (OS) (Casulo, JCO 2015). Unfortunately, POD24 has limited clinical value because it cannot guide up-front clinical decisions. Accurate pre-therapy prognosticators are vital for clinical trial design and are also increasingly being mandated by funding agencies for stratification of patients to emerging front-line treatments. The new 'state-of-the-art' prognosticators 'm7-FLIPI' and POD24-PI' (Pastore, Lancet Oncol 2015; Jurinovic, Blood 2016) supplement clinical parameters with genetic mutational status. However, their applicability to population based cohorts including early-stage and asymptomatic patients remains unknown. Furthermore, there is significant heterogeneity of outcome within these prognostic groupings. The established biological and prognostic importance of the tumor microenvironment (TME) in FL suggests that prognosis would be enhanced by incorporating information on host immunity (Scott, Nat Rev Can 2014). Forty-five pre-treatment FL biopsies were categorized into 'hot' or 'cold' immune nodes by multiplex immunofluorescent imaging and respectively characterized by concordant high or low expression of multiple immune effector and checkpoint-associated proteins. (Fig 1A). Consistent with these findings, gene expression using the Nanostring platform showed that immune effectors (CD4/CD8/TNFa/CD137/CD56) positively correlated with immune checkpoints (PD-1/PD-L1/PD-L2/TIM3/LAG3/CD163/CD68) indicative of an adaptive immune response. Additionally, high-throughput unbiased TCRb sequencing showed the intratumoral TCR repertoire was more clonal in 'hot' compared to 'cold' FL samples (p=0.024), indicative of a skewed T-cell immune response (Fig 1B). We then applied these findings to an independent population-based cohort of 175 cases of FL from the rituximab era with long-term follow-up (median ~7 years), including advanced (n=137) and localized cases (n=38). The aims were to: a) identify new targetable immune parameters of prognostic importance in the rituximab-era; and b) compare and contrast these with published prognostic tools: FLIPI, FLIPI-2, m7-FLIPI, POD24-PI and 'immune survival score' ('ISS', Dave, NEJM 2004). OS was not only inferior in those experiencing POD24 (HR 4.88, p2-fold increase in 5-year patient health costs. Hence, POD24, as well as FFS and TT2T were therefore chosen as the primary outcome measures. M7 mutation frequencies were similar to those previously published (Pastore, Lancet Oncol 2015). However, the prognostic utility of the m7-FLIPI could not be demonstrated, whereas the FLIPI, FLIPI-2, and POD24-PI retained their prognostic value. The POD24-PI was most predictive of FFS (p We have validated the TME in predicting outcome in a population based cohort of FL patients with long-term follow-up treated in the rituximab era. Furthermore, we describe the role of PD-L2 as well as several additional pertinent, clinically-actionable markers of the TME which predict survival to conventional therapies in FL. Low expression of PD-L2 appears to be a surrogate of a broadly co-ordinated downregulation of the intratumoural response. These immune scores are independent of and additive to additive to the FLIPI and POD24-PI. Development of new prognostic models require the incorporation of host immunity along with clinico-genetic features to further improve the specificity, and to accurately risk stratify FL patients. Disclosures No relevant conflicts of interest to declare.

T-cell infiltration of the tumor microenvironment (TME) in DLBCL is a key determinant of response to chemo-immunotherapy (Keane, Lancet Haem 2015). We have previously shown that greater diversity of the T-cell receptor (TCR) repertoire within the TME is correlated with improved survival following R-CHOP in DLBCL (Keane, CCR 2017). There are limited data on the impact of the intratumoral TCR repertoire on interim-PET (iPET), the relationship between intratumoral and circulating TCRs, and on dynamic changes of the TCR during therapy. In this study, we interrogated the TCR repertoire in a subset of DLBCL patients treated on the prospective Australasian Leukaemia Lymphoma Group NHL21 study (Hertzberg, Haematologica 2017), in which all patients had 4x RCHOP prior to iPET risk stratification. The CDR3 region of TCRβ chain underwent high-throughput unbiased TCRβ sequencing (Adaptive Biotechnologies). Metrics included: productive templates (total functional T-cells), productive rearrangements (functional T-cells with distinct specificity), productive clonality (repertoire unevenness due to clonal expansions), and maximal frequency clones (% most dominant single clone). Matched intratumoral diagnostic samples, blood at pre-therapy and post-cycle 4 (at the time of iPET) were tested. 42 patients (enriched for iPET+ cases) had sufficient material for testing. Median age was 55 (range 22-69) years and 72% were males. IPI was low/intermediate/high in 13/63/25% respectively. Cell of origin (COO) by Lymph 2CX method (nanoString) was ABC in 30%, and GCB in 44%. 40% were iPET+. In tissue, there was a median of 4652 productive templates, translating into 2998 productive rearrangements identified. Notably, the clonal repertoire of intratumoral TCRs in iPET+ patients was larger than iPET-ve patients (productive clonality 8.1 vs 5.1 x10-2, p=0.04), whereas the numbers of functional T-cells did not vary between groups. Comparing the tumor with the blood samples showed a high, but variable, degree of overlap between peripheral blood and the TME - TCR repertoire. Median number of top 100 tumor tissue clones shared in peripheral blood was 53.5 (range, 1-97) in pre-therapy and 39.5 (range, 0-93) in post-therapy blood, indicating that the both the circulation and the tumor likely contribute to immune-surveillance. In pre-therapy blood, the median productive templates and productive rearrangements were 44,950 (range, 6,003-273,765) and 29,090 (range, 5,190-152,706), and the median clonality was 8.5 (1.46-45.3) x 10-2. There were no differences between iPET+ and iPET-ve patients in these parameters. However, there was a marked change in T-cell composition between time points. Interestingly, in iPET-ve patients clonality measures were increased, with productive clonality 9.4 vs 14.4 x10-2, p=0.03; and % maximum productive frequency 3.39 vs 5.89, p=0.04. These findings demonstrate that the intratumoral TCR repertoire, and sequential blood sampling provide important information on outcome in DLBCL treated with RCHOP. A highly clonal T-cell repertoire in the TME was associated with iPET positivity after 4 cycles of R-CHOP. In line with findings in solid cancers treated with checkpoint blockade, development of clonal responses in peripheral blood was associated with iPET negativity. These findings indicate that clones expanded during therapy may be important in tumor clearance but that highly clonal T-cell responses in the tumor at diagnosis may hinder expansion of other T-cell responses to neoantigens. The circulating TCR composition is representative of the TME. These findings will assist the rationale design and therapeutic monitoring of novel immuno-therapeutic strategies. Disclosures No relevant conflicts of interest to declare.