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Background. FL is associated with a heterogeneous clinical course, and currently available prognostic indicators are unable to reliably separate patients who exhibit early therapy resistance (POD24, defined as progression within 24 months from diagnosis) from those who achieve “functional cure” following initial therapy. NGS methods developed in recent years enabled quantification of MRD. The ClonoSeq assay (Adaptive Biotechnology, Inc.) has been FDA-cleared to track MRD in several hematologic malignancies. Here we demonstrate that MRD analysis by ClonoSeq assay predicts outcomes in a prospective cohort of patients with advanced stage FL enrolled on SWOG S0016 clinical trial. Methods. SWOG S0016 was a phase III randomized study that compared the safety and efficacy of R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, prednisone) with CHOP-RIT (CHOP + I 133-tositumomab) in patients with FL. Between 2001 and 2008, 531 patients with previously untreated advanced-stage FL (bulky stage II, III-IV) of any pathologic grade were randomly assigned to receive 6 cycles of R-CHOP or CHOP-RIT. We used high-throughput sequencing (HTS) of the IGH and IGK/L loci (ClonoSeq assay) from tumor biopsy specimenstaken prior to treatment to define CDR3 rearrangements that tag the tumor. Subsequently, 1-year bone marrow specimens were screened for residual disease. The baseline dominant clone was defined as ≥10 estimated number of genomes (ENG) and comprised ≥5% of the library. MRD-positive state (MRDp) was defined as a minimum Hamming distance (HD) ≤6 in a patient's post-library (in any clone also detected in a pre-library) and conserved pre-existing SHM (if HD>0). Undetectable MRD (MRDu, at <10 -4) was defined as CRD3 HD>6 in a post-library with a depth >10,000 ENG. Five-year progression-free survival was the primary endpoint (PFS; defined as the time from registration to the first observation of progression or death due to any cause). Landmark analysis was defined at 1 year after registration and used for imputing the 5-year PFS and OS. Overall survival (OS) was defined as the time from registration to date of death due to any cause or last follow-up. PFS and OS estimates and 95% confidence interval were calculated using the Kaplan-Meier method and compared for MRDp and MRDu disease using two-sided log-rank test. HR and 95% CI were calculated using Cox regression model. Results. Tumor biopsy tissue was available for 189 patients. Of these, 24 patients were not evaluable (16 did not consent for banking, 6 were ineligible and 4 had an early event). In 36 patients, pre-libraries did not yield a trackable clone. In total, MRD status could not be ascertained in 47 patients due to absence of a clear trackable clone in either pre- or post-library, contributing to a 28.8% failure rate. Of 116 patients which yielded a trackable clone in both libraries, 83 were MRDu and 33 were MRDp. Baseline characteristics (age, sex, race, β2M, B symptoms, bulky disease, grade 3, stage, and FLIPI risk) were similar between MRDp and MRDu patients; however, MRDp patients were more likely to exhibit morphologic baseline bone marrow involvement by FL (82% vs. 55%, p=0.01). The estimated 5-year PFS was 72% in MRDu patients and 30% in MRD+ patients (Figure); 10-year PFS was 56% and 17%, correspondingly. Meanwhile, 5-year OS was not different (96% for MRDu, 81% for MRD+, p=0.91). Patients with MRDu had a significantly higher best overall response rate than MRDp patients (96% vs 79%, p=0.005), but complete response (CR) rates were similar (41% vs. 30.3%). Patients who received CHOP-RIT had better PFS regardless of MRD status (HR=0.48, p=0.01 for MRDu; HR=0.38, p=0.02 for MRDp), while OS was not statistically different. Five-year PFS was superior in patients who achieved MRDu (75% for CR and 70% for PR) compared with MRDp patients, regardless of response (34%). Patients who had MRDp status had a significantly increased risk of experiencing POD24 relative to MRDu patients (RR=6.5, 95% CI 3.0-14.0; p<0.0001). Conclusion. Here we for the first time demonstrate that MRDu status, as assessed by Clonoseq, predicts improved 5- and 10-year PFS in patients with FL initially treated with chemoimmunotherapy. MRD+ status in the bone marrow at a 1-year timepoint was associated with POD24. Despite a relatively high failure rate to detect trackable sequences using current technology (~29%), MRD assessment by NGS is a promising prognostic tool in FL. *co-senior authors

Background: Anaplastic large cell lymphomas (ALCLs) are CD30-positive T-cell lymphomas that share pathologic features but differ in clinical presentation, outcome, and molecular features. The World Health Organization (WHO) and International Consensus Classification (ICC) classify ALCLs by presence or absence of ALK rearrangements (R) and clinical presentation (systemic, cutaneous [c], or breast implant-associated [BIA]). ICC, but not WHO, recognizes DUSP22-R as defining a new genetic subtype of ALK- ALCL. The classifications otherwise do not reflect additional molecular heterogeneity in genetics (e.g., TP63-R) or therapeutic vulnerabilities (e.g., JAK-STAT3 pathway activation). Methods: ALCLs (N=689) underwent expert consensus review (WHO/ICC) through the Lymphoma/Leukemia Molecular Profiling Project (LLMPP). All cases also underwent genetic subtyping (ALK, DUSP22, TP63, and triple-negative [TN]) using fluorescence in situ hybridization (FISH) and immunohistochemistry (IHC), as well as IHC for phospho-STAT3 Tyr705 (pSTAT3). RNAseq was performed and evaluable in 393 cases; the remaining cases had insufficient tissue, tumor content, RNA yield or quality, and/or sequencing data quality. Sequenced and non-sequenced sub-cohorts had similar demographics and subtype distribution. Results: Unsupervised gene expression profiling (GEP) identified 2 main molecular types of ALCL. Type I ALCLs predominantly included ALK+ ALCLs, BIA-ALCLs, and a subset of TN ALCLs (designated TN-I), whereas Type II ALCLs predominantly included ALCLs with DUSP22-R, TP63-R, or both (double-hit; DH), and the remaining TN ALCLs (TN-II). Type I ALCLs were strongly associated with pSTAT3 expression (74.2±26.4% positive malignant cells vs 9.9±22.7% for Type II; P<0.0001). An independently derived pSTAT3 staining threshold of 30% assigned Type I vs II with 91% accuracy. A third cluster of ALCLs, mostly cALCL, showed an epithelial GEP signature rather than a lymphoma signature; these cases were assigned to Types I or II based on pSTAT3 IHC. Distinct sub-signatures were identified for ALK+, DUSP22-R, TP63-R, and BIA ALCL (Fig. 1), but not ALK- ALCL or cALCL. Gene set enrichment analysis showed Type I ALCLs to be enriched for JAK-STAT3 signaling genes (normalized enrichment score [NES], 2.22; FDR<0.0001) and related pathways, such as TNFα-NFκB signaling (NES, 2.21; FDR<0.0001). In contrast, Type II ALCLs were enriched for cell cycle, DNA repair, epigenetic, and metabolic pathway genes, but not for major tyrosine kinase-mediated signaling pathway genes. Enriched epigenetic pathways included chromatin modifying enzymes (NES, -1.86; FDR=0.002) and histone methylation (NES, -1.71; FDR=0.002). EZH2 was the most overexpressed gene in Type II ALCLs (fold-change, 7.74; FDR=8.84×10 -306). At the protein level, EZH2 IHC H-scores were 275±45 in Type II and 168±70 in Type I ALCLs (P<0.0001); H3K27me3 H-scores were 170±81 and 76±63, respectively (P<0.001). The top metabolic gene set involved cholesterol biosynthesis (NES, -1.88; FDR=0.002). Overall survival (OS) data were available in 257 systemic ALCL patients (145 sequenced and 112 non-sequenced; cALCL and BIA-ALCL were excluded). Non-sequenced TN ALCLs were assigned to TN-I or TN-II using pSTAT3 IHC. The results supported earlier data indicating favorable prognosis of DUSP22-R ALCL (5 y OS, 95%) and ALK+ ALCL (87%), intermediate prognosis of TN ALCL (TN-I, 52% and TN-II, 38%; P=NS), and poor prognosis of TP63-R/DH ALCL (0%)(P<0.0001; Fig. 2). Conclusions: Two overarching molecular types of ALCL exist, predominantly associated with the presence (Type I) or absence (Type II) of the JAK-STAT3 signaling program. Distinct GEP signatures exist for ALK+ ALCL and BIA-ALCL (predominantly Type I), and DUSP22-R ALCL and TP63-R ALCL (predominantly Type II). TN ALCLs lacking ALK-R, DUSP22-R, and TP63-R can be stratified into TN-I and TN-II subtypes. pSTAT3 IHC has >90% accuracy as a surrogate for GEP-based subtyping. ALK- ALCL and cALCL cluster by molecular subtype rather than by defining GEP signatures. Type II ALCLs are enriched for targetable epigenetic and metabolic pathways, including EZH2/histone methylation and cholesterol biosynthesis. This molecular classification is diagnostically, prognostically, and potentially therapeutically relevant, and can be applied using FISH and IHC in routine practice and in the clinical trial setting.

Background: Chemotherapy in combination with radiotherapy (RT) is the standard for early-stage (ES) Hodgkin lymphoma (cHL). Despite high cure rates (12-year overall survival (OS) >93%), there is room to improve short and long-term outcomes for children and adults with ES cHL. Incorporation of immunotherapy (IO) into front line treatment of ES cHL is an opportunity to both improve progression-free survival (PFS) and maintain OS, while minimizing long-term morbidity and mortality by reducing exposure to RT and high-dose chemotherapy. Study Design and Methods: HL leaders of the NCTN groups, expert HL researchers and physicians, and representatives from the Cancer Therapy Evaluation Program (CTEP) formed a working group in April 2020 with the goals of harmonizing treatment approaches for ES cHL across pediatric and adult patients and reaching consensus regarding the optimal study design for incorporating IO therapy into frontline treatment. Study champions identified from each of the North American cooperative groups [Children's Oncology Group (COG), SWOG, ECOG-ACRIN, Alliance, NRG] and experts in imaging, radiation oncology, lymphoma biology and patient-reported outcomes (PROs) were included. The resulting COG-led clinical trial, AHOD2131, represents the largest ES cHL trial in the history of North American cooperative groups and the first to enroll patients across the age continuum. AHOD2131 (NCT05675410; Figure) is a randomized, phase 3 trial enrolling patients ages 5 to 60 years with newly diagnosed, previously untreated stage I and II cHL and will investigate the addition of the CD30-antibody drug conjugate brentuximab vedotin (Bv) with PD-1 blockade (nivolumab) compared to standard chemotherapy +/- RT. Since the April 2023 activation, 97 North American sites have activated the trial, and 21 participants have enrolled. Target enrollment is 1875 patients over 5 years of accrual, for an estimated 1782 eligible and evaluable patients. The primary objective is to compare the 3-year PFS of patients with ES cHL treated through a response-adapted, superiority design with either standard therapy or with an IO approach (BV + nivolumab). All patients will be stratified as favorable or unfavorable based on disease risk features at enrollment. Based on initial response assessment by PET/CT (via central review) after 2 cycles of ABVD, patients were classified to PET2 positive (SER, defined as 5 Point Score 4 or 5, ~15% of patients) and PET negative (RER). Those who are PET positive will receive involved site RT (ISRT). The SER and RER patients will be randomized to standard chemotherapy vs. IO therapy respectively. In addition to the primary outcome of PFS, there are 11 secondary and 10 exploratory aims. The secondary aims focus on OS, PFS of subgroups, and event-free survival at 12 years, physician-reported treatment-related adverse event (AE) rates, patient-reported AE using pediatric and adult versions of Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE), and the capture of representation by self-report and the use of electronic PRO data collections. The exploratory aims include the assessment of imaging central review as compared to local institutional review and the use of convolutional neural networks through artificial-intelligence machine learning. The study will examine the effect of therapy on acute and long-term adverse effects including health-related quality of life (HRQoL) and OS for up to 12 years. The study will compare patient self-report and provider AE reports and evaluate the associations of self-reported race/ethnicity and social determinants of health (SDOH)and post-progression/post-relapse OS. AHOD2131 strengthens the effort between the North American cooperative groups to conduct collaborative clinical trials and aims to harmonize an improved standard of care for ES cHL across the age continuum.

Introduction Newly-diagnosed multiple myeloma (MM) patients often share tumor genetic abnormalities associated with a high risk of progression and poor survival. We hypothesized that single-cell transcriptomic characterization of the tumor immune microenvironment (TIME) may be combined with tumor-based risk stratification to uncover novel disease biology mechanisms associated with clinical outcomes and improve risk stratification. Methods We performed single-cell RNA sequencing of 361 CD138 negative sorted bone marrow mononuclear cells (BMMCs) samples from 263 MM patients enrolled at time of diagnosis in the Multiple Myeloma Research Foundation CoMMpass study (NCT01454297). Specimens were analyzed at baseline (n=263) across a network of five collaborating academic research centers following assay harmonization. Genetic factors that determine risk were defined as one or more of the following gain- or loss-of-function events derived from baseline genomic sequencing data: del17p14, translocations of the Ig locus with the MAF/A/B or WHSC1/MMSET/NSD2 loci, and gain of chromosome 1q21. Statistical modeling strategies were used to assess single-cell populations or RNA signatures associations with known risk factors or disease progression (FDR<0.05). Results The study generated high-quality single-cell profiles of 731,643 cells from 123 high-risk and 107 standard-risk MM patients based on genetics. Based on distinct transcriptome profiles, BMMCs formed 106 clusters corresponding to 5 major compartments: NK and T cells, B cells, erythrocytes, myeloid cells, and plasma cells. Our preliminary differential abundance analysis comparing high- vs standard-risk patients at baseline uncovered significant differences in the TIME associated with genetic risk. The high-risk group was identified as enriched in effector CD8+, and CD4+ T cells. In contrast, the high-risk group exhibited depletion of naive CD8+ and interferon-associated CD4+ and CD8+ T as compared to the standard-risk group. Within subclusters in the T and NK cells compartment, a higher cytotoxicity signature was observed in high-risk patients, characterized by the expression of granzymes and perforin. Finally, our preliminary survival and progression analysis associated a higher frequency of IDO1-expressing macrophages in worst progression patients, while better outcomes were associated with CD8+ T and B cells expressing androgen response and IL6/STAT3/EMT programs, respectively. Conclusions Current approaches for risk stratification are based on bulk measurements of tumor's genetic or epigenetics features, which do not capture the diversity and dynamics of the TIME. Through single-cell transcriptomics, we were able to capture, in high granularity, the TIME and correlate specific immune cell populations and phenotypes with relapse risk and poor prognostic outcomes. These results suggest that immune subpopulations may be an essential novel aspect for improving current risk stratification models.

Introduction: Previously we demonstrated that HIV associated diffuse large B-cell lymphomas (DLBCL) of Germinal Center B-cell subtype (GCB) are more proliferative, with enhanced genomic stability and increased expression of DNA repair genes, particularly Fanconi anemia (FA) and homologous recombination (HR) genes compared to their HIV negative counterparts (Maguire et al, 2019). It is unknown if this signature is unique to the GCB subtype or if it is also observed in Activated B-cell (ABC) and Unclassified (UNC) DLBCL. Herein we validate our HIV associated GCB DLBCL findings in a larger independent cohort and report for the first time the aberrational profile of molecularly profiled HIV associated ABC DLBCL compared to their HIV negative counterparts respectively. Methods: An independent cohort of 353 DLBCL FFPE cases was assembled, including 125 HIV-DLBCL samples. All samples underwent hematopathological review to confirm diagnosis and determine tumor content. Samples with <60% tumor content were macro-dissected before they were RNA/DNA extracted. Cell of origin (COO) profiles were assessed using the Lymph3Cx molecular assay which can distinguish primary mediastinal B-cell lymphoma (PMBL) like from GCB, ABC and UNC DLBCL (Mottok et al 2018). Copy number (CN) analyses were performed on samples with sufficient DNA (41 HIV neg, 32 HIV pos) using the OncoScan FFPE assay kit and the resulting data analyzed using Chromosome Analysis Suite (ChAS) v4.1 and the multisample viewer module of Reproductive Health Research Analysis Software (RHAS) v1.1. Additional digital gene expression profiling was performed using the Pan-Cancer panel (NanoString, Seattle, WA) customized to include 9 BCL2 family genes for a total of 739 genes and analyzed using the NanoString nSolver Advanced Analysis module. Results: GCB, ABC, UNC and PMBL-like proportions were 50%, 30%, 14% and 6% in HIV unassociated (HIV neg) and 50%, 23%, 25% and 2% in HIV pos tumors respectively, confirming both cohorts were GCB-enriched by molecular profiling. PMBL-like cases were excluded from further analyses. OncoScan CN analyses showed that HIV pos DLBCL were significantly less aberrant than HIV neg DLBCL (median CN per sample 0.56 vs 1.01, p<0.001). HIV pos GCB tumors were significantly less aberrant than both HIV neg GCB tumors (median CN per sample 0.50 vs 1.11, p<0.001), and HIV pos ABC tumors (median CN per sample 0.50 vs 0.81, p=0.009). HIV pos ABC tumors were also less aberrant than HIV neg ABC tumors, however, the difference was not significant overall (median CN per sample 0.81 vs 1.03, p=0.162) or for gain/amplifications (median CN per sample 0.38 vs 0.42, p=0.814), but was borderline significant for loss/deletions (median CN per sample 0.31 vs 0.47, p=0.06). GEP analyses identified Cell Cycle and DNA repair as the top two upregulated pathways in HIV pos GCB tumors compared to HIV neg GCB tumors. In contrast, Cell Cycle and DNA repair were downregulated in HIV pos ABC tumors compared to HIV neg ABC tumors. However, one gene ( RBX1) was identified as significantly upregulated in both pathways in HIV pos GCB (adjusted p-value 0.0215) and HIV pos ABC (adjusted p-value 0.0046) tumors compared to their HIV neg counterparts. A second gene ( SKP1) was also significantly upregulated in HIV pos GCB (adjusted p-value 3.94E-5) and HIV pos ABC (adjusted p-value 0.0031) tumors. Together RBX1 and SKP1 encode the two principal functional subunits of the SKP1, CUL1, F-box protein (SCF) complex which is part of the ubiquitin proteasome system (UPS) and has been reported as essential for maintaining genome and chromosome stability (Thompson et al 2021). Conclusions: These results demonstrate that HIV pos DLBCL tumors are less aberrant than their HIV neg counterparts irrespective of COO subtype. However, the degree of genomic stability differs by COO, with HIV pos GCB tumors being more genomically stable than HIV pos ABC tumors. Although both have enhanced expression of UPS related SCF genes ( RBX1, SKP1), only HIV pos GCB tumors have enhanced expression of key DNA repair genes as well including Fanconi Anemia ( BRCA2/FANCD1, FANCL) and mismatch repair ( MSH2, MSH6) genes (adjusted p-values of ≤ 0.0263). Given the reported role of SCF in genomic stability maintenance, the HIV pos COO CN differences could be due to the contributions of both DNA repair and SCF mechanisms in HIV pos GCB and mainly SCF mechanisms in HIV pos ABC tumors.

Background The class of CD20×CD3 bispecific antibodies (BsAbs) has emerged as an important anti-lymphoma modality for patients (pts) with R/R B-cell non-Hodgkin lymphoma. Odronextamab, a novel, off-the-shelf, CD20×CD3 BsAb, has previously demonstrated compelling efficacy in both R/R diffuse large B-cell lymphoma and R/R FL. In pts with R/R FL, odronextamab monotherapy achieved 75% complete response (CR) rates and encouraging durability of responses, and showed generally manageable safety, in the Phase 2 ELM-2 study (NCT03888105; Kim TM, et al. ASH. 2022). Here, we report the results of a second, pre-specified interim analysis of ELM-2. Methods Intravenous odronextamab was administered weekly in 21-day cycles during Cycles (C) 1-4. Optimization of the step-up regimen to further mitigate cytokine release syndrome (CRS) was reported previously (Kim TM, et al. ASH. 2022). Odronextamab was administered with steroid prophylaxis and step-up doses of 0.7/4/20 mg during C1, followed by 80 mg on Days 1, 8, and 15 of C2-4. After C4, odronextamab maintenance treatment continued at 160 mg every 2 weeks until disease progression or unacceptable toxicity. Pts who achieved a durable CR for ≥9 months transitioned to dosing every 4 weeks. A pre-specified interim analysis was performed when 80 pts had completed ≥12 months follow-up. The primary endpoint was objective response rate (ORR), assessed by independent central review (ICR) according to the Lugano classification. Key secondary endpoints included CR rate, duration of response (DoR), progression-free survival (PFS), overall survival (OS), and changes in scores of patient-reported outcomes. Minimal residual disease (MRD) was included as an exploratory endpoint. Results At data cut off (Jan 31, 2023), the global study was fully enrolled and included 140 safety-evaluable pts with FL; 128 pts were efficacy-evaluable and 85 pts had ≥12 months follow-up. The median duration of study follow-up for efficacy was 26.6 months. In the safety-evaluable FL population, median age was 60.5 years (range 22-84), 53% were male, and pts had received a median of 3 (range 2-13) prior lines of therapy. 73% of pts were refractory to their last therapy, 41% were double refractory, and 74% were refractory to an anti-CD20 antibody. 50% of pts had progression of disease within 2 years (POD24) and 29% had a prior autologous hematopoietic stem cell transplant. ORR and CR rate by ICR were 80% (102/128) and 72% (92/128), respectively, and were consistent across pts with high-risk features. Responses were durable, with both median DoR and duration of CR of 21.7 months; the probability of maintaining CR for 24 months was 48%. Median PFS was 20.7 months (95% CI: 16.7-26.5) and median OS was not reached; the probability of survival at 3 years was 63%. Patient-reported overall quality of life (QoL) scores were maintained during the course of treatment. MRD status at 12 weeks was highly predictive of PFS. Safety was generally consistent with previous reports, and no new treatment-related Grade (Gr) 5 events were recorded since the first interim analysis. The most common treatment-emergent AEs (>30% all grades) were CRS (55%), anemia (34%), neutropenia (34%), and pyrexia (33%). With the optimized 0.7/4/20 mg step-up regimen (n=72), 98% of CRS events were Gr 1/2, and only one pt had Gr 3 CRS. All CRS events resolved with supportive measures; 13 pts received tocilizumab for CRS management with the optimized regimen. Only one low-grade ICANS event was reported with the optimized regimen. Gr ≥3 infections occurred in 50 (36%) pts (Gr 5, n=14 [10%]); COVID-19 infections were reported in 46 (35%) pts (Gr 5, n=8 [6%]). Conclusions The results of this pre-specified analysis of the Phase 2 ELM-2 study continue to demonstrate deep and durable responses with odronextamab in heavily pretreated, refractory pts with R/R FL. 90% of responders were complete responders, with a 48% probability of maintaining CR for 2 years. High CR rates appear to translate to favorable, long-term survival outcomes in the setting of incurable disease. The incidence of AEs was consistent with earlier reports, with no new treatment-related Gr 5 events. Importantly, continued treatment with odronextamab had no detrimental effects on overall QoL. These data underscore the promise of odronextamab as a potentially effective agent for the management of R/R FL. Updated data will be presented.

Peripheral T-cell lymphoma (PTCL) encompasses a diverse group of post-thymic lymphomas, with ~40% of cases not further classifiable and designated as PTCL-not otherwise specified (PTCL-NOS). Two molecular prognostic subtypes of PTCL-NOS, PTCL-TBX21 and PTCL-GATA3, were identified through gene expression profiling (GEP). A subset of PTCL-NOS with T-follicular helper (TFH) differentiation was subsequently categorized as nodal PTCL with TFH phenotype (PTCL-TFH), also known in current classifications as nodal PTCL-TFH, NOS, or TFH lymphoma, NOS. However, the boundary between PTCL-NOS and PTCL-TFH remains poorly defined. To refine these subtypes, 101 PTCL-NOS with centralized pathology review and extensive immunophenotyping by immunohistochemistry (IHC) using 22 antibodies, digital GEP (nCounter, NanoString Inc) (n= 70), and RNA sequencing (n= 73) were included in this study. IHC was used to identify PTCL-TFH cases (those with strong expression of more than two TFH markers); the remaining patients were classified as PTCL-GATA3 and PTCL-TBX21 using pre-defined GEP signatures. Cases were reclassified into PTCL-NOS (n= 63) and PTCL-TFH (n= 38), with PTCL-NOS subclassified into PTCL-GATA3 (n= 22; 34%) and PTCL-TBX21 (n= 41; 66%) and showing significant differences in OS (p<0.001). PTCL-GATA3 was characterized by medium to large transformed cells (average= 90%, 70-100%) and had minimal tumor microenvironment (TME) (TME-poor: 100%). In contrast, PTCL-TBX21 was more heterogeneous, associated with pleomorphic cells in a polymorphous background (TME-rich: 78%), including Lennert lymphoma-like cases (22%). mRNA and CIBERSORT analysis substantiated the findings and identified a subset enriched in cytotoxic features in the PTCL-TBX21 subtype. IHC indicated that PTCL-GATA3 cases were CD4+/CD8- (83%) or CD4-/CD8- (17%) and lacked expression of CD8 or cytotoxic markers compared to PTCL-TBX21 (p<0.01). PTCL-GATA3 showed significantly higher expression of LEF1 (average= 80%), Ki67 (80%), and MYC (25%) than PTCL-TBX21 (25%, 30%, <5%, respectively, p<0.01). mRNA and protein expression of these biomarkers showed a significant positive correlation (r=0.5, p<0.001), and expectedly higher mRNA expression of LEF1 and MYC was observed in the PTCL-GATA3 versus PTCL-TBX21 (p<0.05). Strong expression of CD30 (>50% of cells) was only seen in PTCL-GATA3 cases. EBER positivity, found only in rare background cells, was not significantly different (18% of PTCL-GATA3 vs. 12% of PTCL-TBX21). Within PTCL-TBX21, we identified cytotoxic and non-cytotoxic subsets with divergent morphological, phenotypic, and clinical findings. The cytotoxic PTCL-TBX21 exhibited an activated cytotoxic phenotype (23/25, 96%), denoted by TIA1 and granzyme-B and/or perforin expression. Extranodal involvement and single-cell apoptosis were observed in 17% and 45% of the cytotoxic cases, respectively, but absent in non-cytotoxic PTCL-TBX21 cases. A trend towards higher Ki67 expression (average= 40% vs. 20%, p= 0.08) was seen in the cytotoxic subgroup. In contrast, the non-cytotoxic PTCL-TBX21 was associated with a CD4+/CD8- phenotype and higher ICOS expression (average= 30%) and CCR4 (60%) compared to the cytotoxic PTCL-TBX21 (p= 0.001). PTCL-TFH cases showed a CD4+/CD8- phenotype (90%) and rarely a CD4-/CD8- phenotype (10%). While a subset of PTCL-TFH cases had AITL-like features such as numerous clear cells and/or prominent vasculature (31% of cases), which were not seen in the other subgroups, the remaining cases exhibited morphology that was indistinguishable from other PTLC-NOS cases including sheets of transformed cells or pleomorphic cells in a polymorphous background. Morphologically, PTCL-TFH cases, like PTCL-TBX21 were associated with a rich TME (TME-rich: 75%). CIBERSORT analysis showed enrichment of plasma cells (p<0.01) in PTCL-TFH, compared to PTCL-TBX21, and validated by morphology (30% of cases vs. 5%). Expression of one TFH marker was frequent in some PTCL-NOS cases (PTCL-GATA3= 41% of cases, PTCL-TBX21-non cytotoxic= 47%, PTCL-TBX21-cytotoxic= 5%). Conclusion: Our comprehensive evaluation underscores the importance of integrating morphology, immunophenotyping, and GEP in achieving an accurate diagnosis, potentially leading to more tailored treatment strategies for PTCL. Correlation with pending whole-exome sequencing studies will be provided at the time of presentation.

Background: Goals of patient-centered care for management of relapsed or refractory follicular lymphoma (R/R FL) are to improve clinical outcomes while maintaining or improving health-related quality of life (HRQoL). In ELM-2 (NCT03888105), a Phase 2, open-label, multicohort, multicenter study, odronextamab monotherapy demonstrated high and durable complete response rates and generally manageable safety in patients with R/R FL. We report here, for the first time, patient-reported outcome (PRO) results from ELM-2 in patients with R/R FL. Methods: Patients with R/R FL Grade 1-3a received odronextamab IV at 80 mg weekly in 21-day cycles in Cycles (C) 1-4. Optimization of the step-up regimen to mitigate cytokine release syndrome (CRS) was reported previously. Odronextamab was administered with steroid prophylaxis and step-up doses of 0.7/4/20 mg in C1, then 80 mg on Days 1, 8, and 15 of C2-4. After C4, odronextamab maintenance continued at 160 mg every 2 weeks until disease progression or unacceptable toxicity. Patients with durable complete response (≥9 months) switched to dosing every 4 weeks. Patients completed EORTC QLQ-C30, FACT-Lym, and EQ-5D-3L questionnaires at Weeks 1 (baseline), 2, 3, 4, and 10, then every 8 weeks for the remainder of the first year and every 12 weeks in the second year. Results here focus on six key PRO scales: EORTC QLQ-C30 Global Health Status/Quality of Life (GHS/QOL), physical functioning (PF), role functioning (RF), and fatigue; FACT-Lym lymphoma subscale (LymS); and EQ-5D-3L visual analog score (VAS). Longitudinal analyses using mixed models for repeated measures (MMRM) were conducted through Week 50 (the last visit with ≥10 patients with PRO data). Changes from baseline were considered statistically significant if the 95% confidence interval did not contain zero. No adjustment for multiplicity was performed, hence all statistical significance is nominal. Published ranges for minimum important difference (MID) to define clinically meaningful changes are: EORTC QLQ-C30 scales, 10 points; FACT-Lym LymS, 2.9-5.4 points; and EQ-5D-3L VAS, 7-12 points. For responder and time to definitive deterioration (TTDD) analyses, the upper end of these published MID ranges was used to define deterioration or improvement. Results: At the ELM-2 interim data cutoff on 31-Jan-2023, 140 patients with R/R FL Grade 1-3a had received at least 1 dose of odronextamab. Median age was 60.5 years (range: 22-84), with 38.6% ≥65 years, 52.9% male, 57.1% White, 32.1% Asian, 52.2% ECOG=0, and 47.1% ECOG=1. Median duration of follow-up was 26.6 months (range: 6.2-37.5). PRO completion rates for EORTC-QLQ-C30, FACT-Lym, and EQ-5D-3L were high at baseline and remained high for all assessments through Week 50. At baseline, moderate levels of general health (GHS/QoL) and high levels of functioning (PF and RF) were observed that were higher (better) than reference values for general cancer or non-Hodgkin's Lymphoma (NHL). Fatigue scores at baseline were lower (less symptoms) than reference values for general cancer or NHL. EORTC QLQ-C30 GHS/QOL, PF, RF, and fatigue scores were maintained from baseline through Week 50 (Table). For EQ-5D-3L VAS, the overall estimated mean changes from baseline improved statistically significantly but did not reach MID thresholds (Table). For FACT-Lym LymS, overall estimated mean change from baseline statistically significantly improved, and scores improved statistically significantly from Weeks 10 to 42 (except Week 34), with clinically meaningful improvements at Weeks 26 and 42 (Figure). The proportion of patients reporting meaningful improvement or stability across the six scales was higher than the proportion reporting meaningful worsening through Week 50 (Table). The median TTDD for EORTC-QLQ-C30 GHS/QoL was 22.41 (95% CI: 14.59 to not yet reached) months, corresponding to the median PFS. Median TTDD was not reached for EORTC QLQ-C30 PF, FACT-Lym LymS, and EQ-5D-3L VAS scales. Conclusions: For patients with R/R FL, patient-reported HRQoL results were favorable during odronextamab treatment until disease progression, with no detriments on patient-reported symptoms, functioning, and overall quality of life. These results complement encouraging clinical efficacy, durability of responses, and tolerability observed in this highly refractory patient population and support the future role of odronextamab in the management of patients with R/R FL.

Background One reason patients with cancer cannot benefit from immunotherapy is the lack of immune cell infiltration in tumor tissues. Cancer-associated fibroblasts (CAFs) are emerging as central players in immune regulation that shapes tumor microenvironment (TME). Earlier we reported that integrin α5 was enriched in CAFs in colorectal cancer (CRC), however, its role in TME and cancer immunotherapy remains unclear. Here, we aimed to investigate the role for integrin α5 in fibroblasts in modulating antitumor immunity and therapeutic efficacy combined with checkpoint blockade in CRC. Methods We analyzed the CRC single-cell RNA sequencing (scRNA-seq) database to define the expression of ITGA5 in CRC tumor stroma. Experimentally, we carried out in vivo mouse tumor xenograft models to confirm the targeting efficacy of combined α5β1 inhibition and anti-Programmed death ligand 1 (PD-L1) blockade and in vitro cell-co-culture assay to investigate the role of α5 in fibroblasts in affecting T-cell activity. Clinically, we analyzed the association between α5 expression and infiltrating T cells and evaluated their correlation with patient survival and immunotherapy prognosis in CRC. Results We revealed that ITGA5 was enriched in FAP -CAFs. Both ITGA5 knockout fibroblasts and therapeutic targeting of α5 improved response to anti-PD-L1 treatment in mouse subcutaneous tumor models. Mechanistically, these treatments led to increased tumor-infiltrating CD8 + T cells. Furthermore, we found that α5 in fibroblasts correlated with extracellular matrix (ECM)-related genes and affected ECM deposition in CRC tumor stroma. Both in vivo analysis and in vitro culture and cell killing experiment showed that ECM proteins and α5 expression in fibroblasts influence T-cell infiltration and activity. Clinically, we confirmed that high α5 expression was associated with fewer CD3 + T and CD8 + T cells, and tissues with low α5 and high CD3 + T levels correlated with better patient survival and immunotherapy response in a CRC cohort with 29 patients. Conclusions Our study identified a role for integrin α5 in fibroblasts in modulating antitumor immunity by affecting ECM deposition and showed therapeutic efficacy for combined α5β1 inhibition and PD-L1 blockade in CRC.

Abstract Objective Given the importance AI in genomics and its potential impact on human health, the American Medical Informatics Association—Genomics and Translational Biomedical Informatics (GenTBI) Workgroup developed this assessment of factors that can further enable the clinical application of AI in this space. Process A list of relevant factors was developed through GenTBI workgroup discussions in multiple in-person and online meetings, along with review of pertinent publications. This list was then summarized and reviewed to achieve consensus among the group members. Conclusions Substantial informatics research and development are needed to fully realize the clinical potential of such technologies. The development of larger datasets is crucial to emulating the success AI is achieving in other domains. It is important that AI methods do not exacerbate existing socio-economic, racial, and ethnic disparities. Genomic data standards are critical to effectively scale such technologies across institutions. With so much uncertainty, complexity and novelty in genomics and medicine, and with an evolving regulatory environment, the current focus should be on using these technologies in an interface with clinicians that emphasizes the value each brings to clinical decision-making.