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Background. Long noncoding RNAs (lncRNAs) represent an important novel class of noncoding RNA molecule greater than 200 nucleotides that play a key role in the regulation of autoimmune diseases. Previous studies have demonstrated that MAFTRR (MAF transcriptional regulator RNA) regulated Th1 cells differentiation by inhibiting the expression of MAF in activated CD4+ T cells. However, the effect of MAFTRR on the pathogenesis of Hashimoto’s thyroiditis (HT) remains unclear. This research was aimed at investigating the expression of MAFTRR in Hashimoto’s thyroiditis (HT) as well as the correlation between MAFTRR and Th1 cells. Methods. Thirty-eight HT patients and thirty-eight healthy controls were enrolled in the study. The proportion of Th1 cells and CD8+IFN-γ+ T cells in peripheral blood mononuclear cells (PBMCs) from these specimens was determined by flow cytometric analysis. The transcript levels of MAFTRR, MAF, and IFNG in PBMCs and thyroid glands were detected by quantitative real-time PCR. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the potential value of MAFTRR in the HT patients. Results. We found that the proportion of circulating Th1 cells and the transcript levels of IFNG were increased in peripheral blood of the HT patients. The transcript levels of MAFTRR were significantly increased in the HT patients and positively correlated with the percentage of Th1 cells and serum levels of antithyroglobulin antibody and antithyroperoxidase antibody. The transcript levels of MAF, a transcription factor that inhibits Th1 cells activity and IFN-γ production, were attenuated in PBMCs from the HT patients. The transcript levels of IFNG had positive and inverse correlations with MAFTRR and MAF expression in PBMCs from the HT patients, respectively. Additionally, a significantly positive correlation between upregulated MAFTRR expression and augmented IFNG expression was revealed in thyroid tissues from the HT patients. ROC curve suggested that MAFTRR could potentially differentiate the HT patients from healthy controls. Conclusion. MAFTRR is significantly augmented in the HT patients and may contribute to the pathogenic role of the Th1 cells response in HT.

Abstract Introduction: Mantle cell lymphoma (MCL), Waldenström macroglobulinemia (WM), marginal zone lymphoma (MZL) and chronic lymphocytic leukemia (CLL) are subtypes of non-Hodgkin's lymphoma. Collectively, these subtypes constitute a large proportion of all B-cell malignancies; however, they are typically associated with survival spanning several years with multiple interspersed treatment periods due to frequent relapses. This can predispose patients to repeated hospitalization resulting in significant economic impact. The objectives of this study were to examine real-world treatment patterns, costs and healthcare resource utilization for patients with these lymphomas, as well as identify disparities and risk factors associated with costs incurred in US hospitals. Methods: A retrospective study was conducted using the Premier Healthcare Database, a geographically diverse all-payer, hospital administrative database containing more than one billion inpatient and hospital-based outpatient encounters. Patients aged ≥18 years with at least 1 inpatient or 2 hospital-based outpatient visits with a MCL, WM, CLL, or MZL diagnosis, and who received treatment for these conditions from 1/1/2014 to 10/31/2019 were included in the study. Descriptive analysis was conducted to examine patient sociodemographic and hospital characteristics, all-cause and lymphoma-related healthcare resource utilization and costs. Costs were obtained from patients' discharge files and hospital billing records. Multivariable analysis was performed using generalized linear models to examine risk factors associated with costs and LOS for each lymphoma type. Treatment evaluated including any use of supportive care (blood transfusion, granulocyte colony stimulating factors [GCSF]), and by regimen (steroids alone, chemotherapy alone, chemo-immunotherapy, rituximab alone, targeted therapy alone, targeted therapy in combination with chemotherapy, other). Statistical significance was determined as a p-value of <0.05. Results: The study population included 23,952 CLL, 3,387 MCL, 2,655 MZL, and 1,811 WM patients in the US hospital database. Patients with WM were statistically significantly older (77 ± 58.5 years) compared to patients with CLL (74.2 ± 30.2 years), MCL (70.7 ± 37.3 years) or MZL (69.3 ± 33.8 years). More male (71.7%) and white (87.8%) patients were identified in the MCL cohort compared to the general lymphoma cohorts (Males: 58.7%; whites: 86.3). The most common comorbidities included chronic pulmonary disease (27.1%), gastroesophageal reflux disease (17.6%), moderate-severe renal disease (16.6%), congestive heart failure (15.7%) and diabetes without chronic complications (15.2%). Overall, more than two-thirds of patients in each lymphoma group received treatment with steroids alone during hospitalizations. While the use of steroids alone was higher among whites compared to non-white patients (69.5% vs. 60.4%), the use of chemo-immunotherapy was lower in whites compared to non-whites (11.9% vs. 16.2%). The average LOS of inpatient hospitalization ranged from 6.3 days for CLL to 7.4 days for MCL, with the mean costs per hospitalization from $19,566 (CLL) to $24,439 (MCL). Non-white patients have significantly longer mean LOS days compared with white patients (CLL: 18.3 vs. 14.8; MCL: 21.7 vs. 18.3; MZL: 21.6 vs. 18.5; WM 19.0 vs. 14.5). Across the 4 lymphoma types, multivariable regression confirmed the descriptive results and demonstrated that higher hospitals costs were associated with patients who were non-white, Hispanic/Latino, treated in hospitals located in the Northeast or West, or had Medicaid; statistically significant increased cost of care was also noted for patients who received targeted therapy or supportive care, such as blood transfusion or GCSF (Table 1). Conclusions: Real-world data demonstrated the significantly high total hospital costs once patients with MCL, WM, MZL, and CLL patients were hospitalized, with significantly higher impact to minority populations. Given the increased availability of effective oral therapeutics, optimal and timely disease control in the outpatients setting can potentially prevent or decrease hospitalizations and reduce economic burden on healthcare. Future studies are needed to explore the reason for admission, clinical outcomes, and potential preventive interventions. Figure 1 Figure 1. Disclosures Chanan-Khan: Alpha2 Pharmaceuticals: Patents & Royalties: Tabi; Ascentage, Starton, Cellectar, NonoDev, Alpha2 Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; BeiGene, Jansen, Ascentage: Honoraria; Cellectar: Current equity holder in publicly-traded company; Ascentage: Research Funding; Alpha2 Pharmaceuticals, NonoDev, Starton: Current holder of stock options in a privately-held company; BieGene, Jansen, Ascentage: Consultancy. Yang: BeiGene, Ltd.: Current Employment. Liu: BeiGene, Ltd.: Current Employment. Cao: Premier, Inc.: Current Employment; BeiGene, Ltd.: Consultancy. Baumer: BeiGene, Ltd.: Consultancy; Premier, Inc.: Current Employment. Krishnaswami: BeiGene, Ltd.: Consultancy; Premier, Inc.: Current Employment. Tang: BeiGene, Ltd.: Current Employment. Ailawadhi: Karyopharm: Consultancy; AbbVie: Consultancy; Genentech: Consultancy; Takeda: Consultancy; GSK: Consultancy, Research Funding; Xencor: Research Funding; Cellectar: Research Funding; Medimmune: Research Funding; Ascentage: Research Funding; Pharmacyclics: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Bristol Myers Squibb: Consultancy, Research Funding; BeiGene, Ltd.: Consultancy; Sanofi: Consultancy; Oncopeptides: Consultancy.

Abstract The tumor microenvironment plays a crucial role in mediating the tumor immune response, thereby affecting patient outcomes in follicular lymphoma (FL). Using CyTOF, we analyzed single cell suspensions created from pre-treatment biopsies in a cohort of 82 FL patients and retrospectively extracted patient clinical parameters. Hierarchical analysis of the tumor microenvironment composition stratified these patients into 4 groups: group 1 represents patients with high percentage of monocyte/macrophages/NK cells; patients from group 2 and 3 are rich of intratumoral T and B cells, respectively. Patients with intermediate number of T and B cells are classed into group 4. Intratumoral T cells from these 4 groups exhibited distinct phenotypical characteristics. Group 1 was enriched with KLRG1 +CD8 + T cells, while group 4 showed increased number of CXCR3 - T EM and CD4 + T N cells. Patients from group 2 and 3 featured with increased number of ICOS + T reg cells and CD57 + T FH cells, respectively. We observed that higher numbers of T cells significantly correlated with early disease stage, lack of B-symptoms, event-free survival at 24 months (EFS24) and a favorable overall and EFS survival in patients with histological grade 1 and 2. However, this association was not seen in patients with histological grade 3a and b, suggesting that T cell-mediated anti-tumor immunity is preserved in low grade patients, but overridden in higher grade patients. CITRUS analysis revealed that a cluster that is CD57 + and PD-1 high was significantly more abundant in patients who had disease progression than patients who had a complete response to therapy, suggesting a role of CD57 + T FH cells in promoting malignant cell growth in FL. Consistent with this finding, we observed that higher number of CD57 + T FH cells correlated with an inferior survival in FL. Using CITE-seq technology, we found that CD57 + T FH cells exhibited a substantially different transcriptome when compared to CD57 - T FH cells. Genes that were differentially upregulated in CD57 + T FH cells when compared to CD57 - T FH cells included genes involved in cell survival, compromised inflammatory response, and metabolism activation including GZMK, CCL4, CST7, DUSP2, LGALS3, CYTOR, CHI3L2, SYNE2, CXCL13, CD27 and FABP5. Taken together, our results indicate different tumor microenvironments among FL patient groups that is associated with variable T-cell phenotype. We found that CD57 + T FH cells play an important role in predicting disease progression and patient prognosis in FL. Figure 1 Figure 1. Disclosures Novak: Celgene/BMS: Research Funding. Ansell: Bristol Myers Squibb, ADC Therapeutics, Seattle Genetics, Regeneron, Affimed, AI Therapeutics, Pfizer, Trillium and Takeda: Research Funding.

Abstract Background: BCL-2 inhibition with venetoclax has proved to be highly effective treatment for patients with CLL. However, when administered to patients with CLL who have a high tumor burden, venetoclax is associated with an elevated risk of tumor lysis syndrome (TLS). Because of this risk, venetoclax is initiated with a gradual, 5-week dose ramp-up, requiring close laboratory monitoring over an extended period. Lisaftoclax (APG-2575) is a novel, potent, selective BCL-2 inhibitor under clinical development for hematologic malignancies (HMs). Preliminary data in 18 patients with CLL treated in a first-in-human study suggested the feasibility of an abbreviated ramp-up of lisaftoclax that might also result in a lower incidence of neutropenia (Ailawadhi et al, J Clin Oncol 39, 2021; abstr 7502). Methods: This new study is a global, open-label, multicenter, two-part phase 1b dose escalation and dose expansion study to assess the safety and tolerability of lisaftoclax (Part 1) and lisaftoclax combined with rituximab or acalabrutinib (Part 2), including dose-limiting toxicity (DLT) and maximum tolerated dose (MTD). The trial is enrolling adults with (1) histologically confirmed CLL/SLL (by 2018 iwCLL criteria) that is relapsed or refractory to ≥ 1 prior therapy and requires treatment (also by 2018 iwCLL criteria); (2) adequate bone marrow function (in the absence of growth factors), including absolute neutrophils ≥ 1.0 × 10 9/L in patients without bone marrow involvement (not required in CLL/SLL patients with bone marrow involvement); and (3) adequate renal and hepatic function. Exclusion criteria: (1) recent history of allogeneic stem cell transplantation or CAR T-cell therapy (< 90 days); (2) prior treatment with a BCL-2 inhibitor (unless patient discontinued such therapy without disease progression); (3) treatment with vitamin K anticoagulants or previous discontinuation of treatment due to acalabrutinib toxicity (in acalabrutinib plus lisaftoclax cohort); (4) active Richter's syndrome; (5) infection (e.g. HIV, hepatitis); (6) CNS involvement; (7) prior cancer that has recurred within 2 years of screening and requires treatment (apart from adequately treated cervical or breast carcinoma in situ); (8) uncontrolled and other serious concomitant illnesses, including cardiovascular disease and diabetes; (9) failure to recover adequately after surgical procedures; and (10) active graft-vs-host disease or a requirement for immunosuppressive treatment. In a standard "3+3" dose escalation design (Part 1), lisaftoclax is being administered orally once daily in a 28-day cycle, with full doses of 200 to 1,200 mg (by 200-mg increments at 4 dose levels (400, 600, 800, and 1,000 mg) in parallel. The ramp-up is performed in the hospital with close monitoring for TLS and consists of the following doses and days of lisaftoclax treatment: 20 mg on Day 1, 50 mg on Day 2, 100 mg on Day 3, 200 mg on Day 4, 400 mg on Day 5, 600 mg on Day 6, 800 mg on Day 7, and 1,000 mg on Day 8. Patients who experience TLS on any of these days have their dose held until resolution of TLS before proceeding to the next dose. Part 2 includes a further standard 3+3 dose escalation of lisaftoclax combined with rituximab or acalabrutinib (in separate cohorts), with a further planned dose expansion at recommended phase 2 doses of these combination regimens. Primary outcome measures are (1) DLTs observed during cycle 1; and (2) MTD (measured over the same interval). DLT criteria are defined as grade 4 thrombocytopenia or neutropenia lasting > 7 days, grade 3 ≥ thrombocytopenia with bleeding, grade 4 febrile neutropenia, or grade 3 ≥ non-hematologic toxicities. As of July 19, 2021, 71 patients have been enrolled (of 144 planned). Clinicaltrial.gov identifier: NCT04215809. Disclosures Davids: Ascentage Pharma: Consultancy, Research Funding; Astra-Zeneca: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Genentech: Consultancy, Research Funding; MEI Pharma: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Pharmacyclics: Consultancy, Research Funding; TG Therapeutics: Consultancy, Research Funding; Verastem: Consultancy, Research Funding; Surface Oncology: Research Funding; AbbVie: Consultancy; Adaptive Biotechnologies: Consultancy; BeiGene: Consultancy; Celgene: Consultancy; Eli Lilly and Company: Consultancy; Janssen: Consultancy; MEI Pharma: Consultancy; Merck: Consultancy; Research to Practice: Consultancy; Takeda: Consultancy. Siddiqi: Kite Pharma: Membership on an entity's Board of Directors or advisory committees; Juno therapeutics: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Abbvie: Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; BeiGene: Other: DSM Member, Speakers Bureau; PCYC: Speakers Bureau; Jannsen: Speakers Bureau; Dava Oncology: Honoraria; ResearchToPractice: Honoraria. Pagel: Gilead: Consultancy; AstraZeneca: Consultancy; BeiGene: Consultancy; Incyte/MorphoSys: Consultancy; Epizyme: Consultancy; Kite, a Gilead Company: Consultancy; Actinium Pharmaceuticals: Consultancy; MEI Pharma: Consultancy; Pharmacyclics/AbbVie: Consultancy. Pylypenko: Communal nonprofit enterprise "Cherkasy regional oncology dispensary of Cherkasy oblast council: Current Employment. Kriachok: Takeda, Roche, Abbivie, Janssen, MSD: Consultancy; Takeda, Roche, Abbvie, Janssen, MSD, Pfizer: Honoraria, Speakers Bureau. Usenko: Abbvie: Honoraria; Acerta: Honoraria; Ascentage: Honoraria; AstraZeneca: Honoraria; Celgene: Honoraria; Il Yang: Honoraria; Janssen: Honoraria; Karyopharm: Honoraria; Oncopeptides: Honoraria; Rigel: Honoraria; Takeda: Honoraria; UCB: Honoraria. Chen: Ascentage Pharma (Suzhou) Co., Ltd: Current Employment, Current equity holder in publicly-traded company. Huang: Ascentage Pharma (Suzhou) Co., Ltd.: Current Employment, Current equity holder in publicly-traded company. Li: Ascentage Pharma (Suzhou) Co., Ltd.: Current Employment, Current equity holder in publicly-traded company. Ahmad: Ascentage Pharma Group Inc.: Current Employment, Current equity holder in publicly-traded company. Mudenda: Ascentage Pharma Group Inc.: Current Employment, Current equity holder in publicly-traded company. Yang: Ascentage Pharma (Suzhou) Co., Ltd: Current Employment, Current equity holder in publicly-traded company, Other: Leadership and other ownership interests, Patents & Royalties, Research Funding. Zhai: Ascentage Pharma (Suzhou) Co., Ltd.: Current Employment, Current equity holder in publicly-traded company, Other: Leadership and other ownership interests, Patents & Royalties, Research Funding; Ascentage Pharma Group Inc.: Current Employment, Current equity holder in publicly-traded company, Other: Leadership and other ownership interests, Patents & Royalties, Research Funding.

Abstract Background: Follicular lymphoma (FL) exhibits significant clinical, cellular, molecular, and genetic heterogeneity. Our understanding of FL biology and molecular classifications of FL, to date, has largely been driven by pathologic classification (Grade 1-3b), genetic classification (m7-FLIPI), or gene expression profiling (IR-1/2; Huet-23), along with limited studies on small cohorts or targeted panels. In order to further understand the biological underpinnings and complexity of FL, large-scale and integrated whole exome sequencing (WES) and RNA sequencing (RNAseq) studies are needed. Using a highly-annotated cohort of 93 FL tumors with matched RNAseq, WES, and CyTOF data, we have explored the transcriptomic signature of purified FL B cells and identified unique molecular subsets that are defined by distinct pathway activation, immune content, and genomic signatures. Methods: Frozen cell suspensions from 93 untreated FL (Grade 1-3b) patients' tumor biopsies, enrolled in the University of Iowa/Mayo Clinic Lymphoma SPORE, were used for the study. DNA was isolated from whole tumor cell suspensions, and RNA was isolated from both whole tumor and B cell-enriched cell suspensions. RNAseq and WES were performed in the Mayo Clinic Genome Analysis Core. RNAseq and WES data were processed using a standard pipeline and novel driver genes were identified using Chasm+ driver analysis. Copy number variants were identified from WES data using GISTIC 2.0. NMF clustering and single sample gene set testing for B cell lineage and tumor microenvironment (TME) signatures were performed in R using the NMF and singscore packages. Results: Unsupervised clustering of RNAseq data identified three distinct expression programs which separated patient B cell samples into 3 groups: Group 1 (G1, n=20), Group 2 (G2, n=24), Group 3 (G3, n=43). While no clinical attributes were defined by any single group, G1 consisted of cases that had less aggressive characteristics (63% Stage I-II, 79% FLIPI 0-1). To identify unique transcriptional pathways driving the three expression programs, we scored gene level contributions to NMF expression programs and employed gene set enrichment analysis. This revealed significant pathway association with type-I IFN signaling (G1), DNA repair and stress response (G2), and epigenetic modulation (G3) as differentiating programs between the 3 groups (FDR q<0.001). VIPER master regulator activity inferencing revealed that these pathways were likely being controlled by differential activity in NF-kB, IRFs, STAT1, BCL6, and FOXO1. Each program significantly enriched for, but were not defined by, portions of specific germinal center programs, such as pre-memory (G1), light-zone-to-dark-zone transition (G2), and a pre-light-zone intermediate (G3). We next assessed the connection between B cell programs and the tumor microenvironment (TME) using available paired CyTOF data on 67 cases, which revealed an active TME in G1, with an abundance of CD8 T cell and NK cell populations, a wide variety of immune content in G2 that consisted mostly of Tfh and myeloid cells, and a poorly populated immune compartment in G3 compared to G1 and G2. Finally, somatic driver mutations and copy number alterations from WES were identified and associated with the three clusters. The three groups distinguished themselves by significant enrichment of copy number alterations (TNFAIP3-loss , 1q23-gain, 1q32-gain) in G2, while 10q-loss and mutations in BCL2 and chromatin modifiers (KMT2D and CREBBP) enriched in G3. G1, overall, had lower alteration burden and had weak associations with any specific alterations, suggesting an alternative mechanism for driving the G1 program. Conclusion: In this study, we have identified three unique FL tumor B cell groups, defined by specific transcriptional programs. Pathways such as inflammation, DNA damage response, and chromatin modification contribute most to the differences between B cell samples and group membership. Additionally, each program associated with specific genetic events as well as TME composition, highlighting potential drivers of these B cell states. This study improves the understanding of the mechanisms driving FL tumors and motivates further investigation into transcriptional consequences of genetic events as well as potential tumor intrinsic factors that may influence the TME. Figure 1 Figure 1. Disclosures Maurer: BMS: Research Funding; Genentech: Research Funding; Morphosys: Membership on an entity's Board of Directors or advisory committees, Research Funding; Kite Pharma: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Nanostring: Research Funding. Rimsza: NanoString Technologies: Other: Fee-for-service contract. Link: MEI: Consultancy; Genentech/Roche: Consultancy, Research Funding; Novartis, Jannsen: Research Funding. Habermann: Tess Therapeutics: Other: Data Monitoring Committee; Seagen: Other: Data Monitoring Committee; Incyte: Other: Scientific Advisory Board; Morphosys: Other: Scientific Advisory Board; Loxo Oncology: Other: Scientific Advisory Board; Eli Lilly & Co.,: Other: Scientific Advisor. Ansell: Bristol Myers Squibb, ADC Therapeutics, Seattle Genetics, Regeneron, Affimed, AI Therapeutics, Pfizer, Trillium and Takeda: Research Funding. King: Celgene/BMS: Research Funding. Cerhan: Genentech: Research Funding; Regeneron Genetics Center: Other: Research Collaboration; Celgene/BMS: Other: Connect Lymphoma Scientific Steering Committee, Research Funding; NanoString: Research Funding. Novak: Celgene/BMS: Research Funding.

Abstract Introduction: Clinical availability of highly effective novel agents (including Bruton tyrosine kinase [BTK] and B-cell lymphoma 2 [BCL-2] inhibitors) is rapidly altering the therapeutic landscape of chronic lymphocytic leukemia (CLL) necessitating a review of treatment guidelines. However, there is limited real-world data to validate if the availability of these novel agents has translated to a true shift in treatment paradigm for patients treated in the community. As the majority of CLL patients are treated in non-academic community-based settings, we investigated the clinical adoption trends of commercially available FDA approved novel agents for treatment of CLL patients. In addition, given that the COVID-19 pandemic led to major alteration in clinical oncology practices, we further studied if this contributed to an alteration in the selection of therapeutic agents resulting in changes of CLL treatment patterns and the utilization of novel agents in the real-world setting. Thus, the objectives of this study were to examine the utilization pattern of various CLL therapies, as well as evaluate the pattern of adoption of novel agents for treatment and the impact of COVID. Methods: A retrospective observational study was conducted using the Flatiron Health database that comprised EHR-derived de-identified data. Adult patients (≥18 years) with newly diagnosed CLL from January 2014 to May 2021, with no prior treatment and who were continuously enrolled for at least 6 months before and 3 months after the index date, defined as the first date of CLL/SLL diagnosis were included. Treatment regimens were classified into seven mutually exclusive categories: bendamustine-based chemotherapy, other chemotherapy, anti-CD20-based therapy, ibrutinib, idelalisib, acalabrutinib and venetoclax. Further treatment categorization included chemotherapy vs. targeted therapy, and traditional IV vs. novel oral agents. The impact of the pandemic was examined by comparing the pre- and post-COVID cohorts (defined as 15 months pre- and post- of March 1, 2021). Descriptive analyses were conducted to examine the frequency of use of treatment regimens by quarter in each year, line of therapy and between different age, gender, US geographical region, insurance status, and race/ethnicity subgroups. Multivariable regression was conducted to examine factors associated with the likelihood of adoption of novel and oral agents. Statistical significance was determined at a p-value of less than 0.05. Results: A total of 3,037 newly diagnosed CLL patients (median age =73) were included in the study. Over half were male (62.3%), white (74.6%) and commercially-insured (54.1%). Patients were primarily treated in community practices (92%). Overall, a significant trend in adoption of novel agents was observed throughout the years following their approval (Figure 1A). Across the evaluation period, a significant decrease in chemotherapy use was observed from 61.3% (quarter 1, 2014) to 20% (quarter 2, 2021) in favor of targeted therapy as first-line therapy (Figure 1B). In contrast, the utilization of novel oral agents (vs. traditional IV agents) for first-line therapy increased from 9.5% to 70.9% for the same period (Figure 1C). Similar trends were observed for second-line and third-line therapies. Encouragingly, this change in treatment patterns was adopted comparably in all sociodemographic subgroups with no evidence of disparity. While there was no statistically significant difference between the pre- and post-COVID treatment landscape, the adoption of target and novel oral agents has been more pronounced with the COVID pandemic. Conclusions: Results from real-world data suggest that there is a clear shift towards the adoption of novel therapies with preference given to targeted agents and oral therapies in the US since 2014. Further research examining real-world outcomes associated with treatment regimens are needed to inform decision makers. Figure 1 Figure 1. Disclosures Chanan-Khan: Cellectar: Current equity holder in publicly-traded company; Alpha2 Pharmaceuticals, NonoDev, Starton: Current holder of stock options in a privately-held company; Ascentage: Research Funding; Alpha2 Pharmaceuticals: Patents & Royalties: Tabi; Ascentage, Starton, Cellectar, NonoDev, Alpha2 Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; BeiGene, Jansen, Ascentage: Honoraria; BieGene, Jansen, Ascentage: Consultancy. Yang: BeiGene, Ltd.: Current Employment. Liu: BeiGene, Ltd.: Current Employment. Zimmerman: BeiGene, Ltd.: Current Employment. Tang: BeiGene, Ltd.: Current Employment. Ailawadhi: Karyopharm: Consultancy; AbbVie: Consultancy; Genentech: Consultancy; Takeda: Consultancy; GSK: Consultancy, Research Funding; Xencor: Research Funding; Cellectar: Research Funding; Medimmune: Research Funding; Ascentage: Research Funding; Pharmacyclics: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Bristol Myers Squibb: Consultancy, Research Funding; BeiGene, Ltd.: Consultancy; Sanofi: Consultancy; Oncopeptides: Consultancy.

Abstract Introduction: The impact of cancer care and management beyond treatment is significantly high for cancer patients. Due to the complexities of cancer treatment, patients are heavily reliant upon ancillary support often rendered by friends and family. One significant yet unquantifiable impact of cancer on society is productivity loss of both patients and their caregivers. Non-Hodgkin lymphoma is considered largely incurable with a protracted clinical course punctuated with multiple remission and relapses, warranting repeated treatment and intensive clinical testing, which necessitates significant engagement of patients and caregivers. Many patients are members of the workforce at the age of diagnosis. Both working patients and caregivers need time for medical care, which translates to indirect economic impact due to lost productivity. The objectives of this analysis were to evaluate the productivity loss and indirect costs in patients with chronic lymphocytic leukemia (CLL), mantle cell lymphoma (MCL), marginal zone lymphoma (MZL), or Waldenström macroglobulinemia (WM) and their caregivers. Methods: The MarketScan Commercial and Health and Productivity Management databases were used to identify patients with CLL, MCL, MZL, and WM (using ICD-9/ICD-10 codes) who were continuously enrolled for ≥6 months pre- and ≥1 month post-diagnosis (index date) from 1/1/2010 to 12/31/2019. The final study cohort included patients aged 18-64 who were full-time workers with eligibility of absentee, or short-/long-term disability on index date and for ≥1 month in follow-up. Those who were pregnant during the study period were excluded. Adult, full-time employed caregivers, defined as family members covered under the same health plan as the patient, and continuously enrolled ≥6 months pre- and ≥1 month post-index, were also identified. Among those with eligibility, the percentage with a claim of absentee, short- or long-term disability (patients only), and associated productivity time loss and indirect costs during follow-up were examined. Lost wages were calculated using the US Bureau of Labor Statistics 2019 report. For short- or long-term disabilities, mean daily wages were reduced to 70% of typical wages. Productivity time loss and costs were reported per-patient-per-month (PPPM) for each lymphoma. Results: The final patient cohort included 3,450 CLL, 448 MCL, 1,052 MZL and 394 WM patients; the caregiver cohort included 1,435 CLL, 171 MCL, 437 MZL and 190 WM caregivers. Among eligible patients, there were higher proportions of patients that had absentee claims (CLL, 76%; MCL, 72%; MZL, 72%; WM, 82%), followed by short-term disability (CLL, 16%; MCL, 36%; MZL, 18%; WM, 17%) and long-term disability (CLL, 3%; MCL, 10%; MZL, 3%; WM, 3%) (Figure 1A). The proportions of caregivers with absentee claims (CLL, 78%; MCL, 90%; MZL, 69%; WM, 75%) were also higher than those with short-term disability (CLL, 7%; MCL, 10%; MZL, 4%; WM, 8%) (Figure 1B). For all 4 lymphoma types, average illness-related absentee hours were higher in patients than caregivers (CLL, 9.5 vs 6.9; MCL, 44.5 vs 3.6; MZL, 17.0 vs 5.0; WM, 18.2 vs 8.1). A similar pattern was observed for short-term disability days (CLL, 6.9 vs 4.2; MCL, 10.8 vs 3.4; MZL, 7.0 vs 2.2; WM, 6.7 vs 4.8). Average PPPM indirect costs were higher for patients with long-term disability (CLL, $1,433; MCL, $1,233; MZL, $1,302; WM, $2,056) than with short-term disability (CLL, $1,203; MCL, $1,950; MZL, $1,145; WM. $1,177) or absentee claims (CLL, $365; MCL, $1,606; MZL, $612; WM, $662), except for patients with MCL (Figure 2A). Similar trends were observed among caregivers, though the indirect costs due to absenteeism and short-term disability were higher in patients than caregivers (Figure 2B). Conclusions: This real-world evidence study uncovered patients with CLL, MCL, MZL and WM and their caregivers incur substantial disease burden as shown by their productivity loss and indirect costs. Effective treatments that can offer a cure or better remission rates and shorter duration with less toxicity may not only enhance the patients and caregivers' quality of life but also reduce work loss. The availability of oral, targeted therapies has resulted in higher remission rates, durable responses, manageable toxicities and improved quality of life in trials. Future studies are needed to understand the impact of these oral, targeted therapies on patients' and caregivers' productivity. Figure 1 Figure 1. Disclosures Yang: BeiGene, Ltd.: Current Employment. Liu: BeiGene, Ltd.: Current Employment. Irwin: IBM Watson Health: Current Employment; BeiGene, Ltd.: Consultancy. Packnett: IBM Watson Health: Current Employment; BeiGene, Ltd.: Consultancy. Lew: BeiGene, Ltd.: Consultancy; IBM Watson Health: Current Employment. Noxon: BeiGene, Ltd.: Consultancy; IBM Watson Health: Current Employment. Tang: BeiGene, Ltd.: Current Employment. Chanan-Khan: BieGene, Jansen, Ascentage: Consultancy; BeiGene, Jansen, Ascentage: Honoraria; Alpha2 Pharmaceuticals: Patents & Royalties: Tabi; Cellectar: Current equity holder in publicly-traded company; Ascentage, Starton, Cellectar, NonoDev, Alpha2 Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Alpha2 Pharmaceuticals, NonoDev, Starton: Current holder of stock options in a privately-held company; Ascentage: Research Funding.

Abstract Objective: To report 2 cases of relapsed or refractory classical Hodgkin lymphoma with bulky lung involvement who failed PD-1 blockade, obtained long-term complete remission after treatment with PD-1 blockade in combination with ICE chemotherapy, and provide an alternative regimen for this kind of patient. Methods: The clinical data of 2 patients suffering refractory or relapsed Hodgkin's lymphoma with bulky lung involvement who were resistant to PD-1 monoclonal antibody were collected, the treatment processes, efficacy and toxic side effects of the patients were summarized. Results: Both HL patients relapsed after multi-line chemotherapies and radiotherapy. One patient relapsed after autologous hematopoietic stem cell transplantation. The main manifestations were cough and dyspnea caused by large lung masses. Both patients received 3 kinds of PD-1 blockade. One progressed after stopping Nivolumab and enrolled the clinical trial of decitabine and Camrelizumab for 6 courses and got stable disease（SD）, then changed to Camrelizumab combined with ICE for 4 cycles and obtain complete metabolic remission（CMR）. The other patient progressed with Nivolumab or Camrelizumab combined with A (B) VD regimen, and 2 courses of BV. She was then treated with Sintilimab combined with ICE for 4 cycles and obtain CMR. Both patients' cough and dyspnea were significantly improved, and lung lesions were significantly reduced after receiving 1 cycle of PD-1 blockade with ICE regimen and the quality of life was greatly improved. After 4 courses of treatment, the PET/CT assessment achieved CMR. The main side effect was a second-degree bone marrow suppression and can be tolerable for the patient. Conclusion: PD-1 blockade combined with ICE regimen chemotherapy has significant curative effect and mild adverse reactions, can be used to treat cases of relapsed or refractory classic HL with bulky lung involvement resistant to PD-1 blockade. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.

Abstract Introduction: Chronic lymphocytic leukemia (CLL)/small lymphocytic leukemia (SLL) are the most common types of leukemia in adults in the United States. The US veteran population, predominantly older males, are at high risk for CLL/SLL, especially with prior exposure to Agent Orange or other herbicides during military service. With the increasing availability of novel agents and associated improved survival, there is a need to assess the real-world evidence of CLL/SLL burden in US veterans, as well as the clinical and economic outcomes associated with current treatments. The objective of this retrospective cohort study was to examine the clinical burden, costs and healthcare resource utilization of CLL/SLL in veterans. Methods: Adults who were newly diagnosed with CLL/SLL were identified in the Veteran Health Administration dataset from October 2014 to September 2019. Eligible patients were required to have at least 2 visits with CLL/SLL diagnosis, and continuous enrollment of 6 months pre- and 3 months post-index date, defined by the first diagnosis date. The study population was further required to have at least 1 CLL/SLL treatment on or after the index date. Treatment regimens were identified by line of therapy and categorized mutually exclusively as: bendamustine-based (alone or in combination) therapy, other chemotherapies, ibrutinib, rituximab-monotherapy, or other regimen. Descriptive analyses were conducted to examine patient sociodemographic characteristics, comorbidities, concurrent medications, and treatment patterns including the frequency and duration of each treatment regimen. Adherence was measured by discontinuation and switching rates. Discontinuation was defined as no treatment for 90 days from the last day of supply during the study period. To ensure only patients who prematurely discontinued chemotherapy treatment and not those who completed their treatment cycles are captured, premature discontinuation was defined as a treatment duration of <90 days for bendamustine-based and <120 days for rituximab monotherapy. Costs and healthcare resource utilization were examined by first-, second-, and third-line therapy. Healthcare resource utilization examined included hospitalization and length-of-stay (LOS). Total costs were reported for all-cause and CLL/SLL-related, and calculated as the sum of inpatient, outpatient and pharmacy costs per-patient-per-month (PPPM). Multivariable logistic regression was conducted to examine factors associated with costs, frequency and LOS of hospitalizations. Results: Among the 13,664 veteran patients diagnosed with CLL/SLL, 79% were in watch-and-wait and the final study population consisted of 2,861 patients who received at least 1 line of CLL/SLL therapy (mean duration=465 days). Most patients were elderly (median age =70 years), white (83%), and male (98%). Approximately 39% of veterans had concurrent use of proton pump inhibitors at baseline. Average time to treatment initiation from diagnosis to first-line therapy was 315 days. A total of 770 (26.9%) patients further received second-line therapy (mean duration of treatment=318 days) and 199 (7.0%) patients received third-line therapy (mean duration of treatment=229 days). Ibrutinib was the most common treatment regimen across all lines of therapy (first-line: 39%; second-line: 55%; third-line: 43%) with discontinuation rates at 59.6%, 60.1%, and 55.2% in first-, second-, third-line therapy respectively (Figure 1 and 2). The CLL/SLL-related hospitalization rate was 39% with an average LOS of 7 days. Total PPPM all-cause and CLL/SLL-related costs were $26,709 and $17,233, respectively; these costs were increased by line of therapy. Controlling for patient clinical and demographic covariates, treatment discontinuation and treatment switching were statistically significant predictors of higher inpatient admissions, LOS of hospitalizations, and costs. Conclusions: This real-world data demonstrated significant clinical and economic burden associated with CLL/SLL among the US veterans. Furthermore, the suboptimal adherence, as reported by high treatment discontinuation rates and its impact on increasing costs and healthcare resource use, highlights the real-world unmet needs of CLL/SLL management in the veteran population. Future studies are needed to further understand the long-term outcomes of each treatment regimen. Figure 1 Figure 1. Disclosures Yang: BeiGene, Ltd.: Current Employment. Liu: BeiGene, Ltd.: Current Employment. Tang: BeiGene, Ltd.: Current Employment. Chanan-Khan: Ascentage: Research Funding; Alpha2 Pharmaceuticals: Patents & Royalties: Tabi; Ascentage, Starton, Cellectar, NonoDev, Alpha2 Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; BeiGene, Jansen, Ascentage: Honoraria; Cellectar: Current equity holder in publicly-traded company; Alpha2 Pharmaceuticals, NonoDev, Starton: Current holder of stock options in a privately-held company; BieGene, Jansen, Ascentage: Consultancy.

Abstract Introduction: Prognostic testing, including immunoglobulin heavy-chain variable region gene (IgHV) mutation status, cytogenetic abnormalities by fluorescence in situ hybridization (FISH), and immunophenotyping has been recommended in all newly diagnosed patients with chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL) prior to treatment initiation, and even in previously treated patients in some settings. Recent data have shown that disease with high-risk genetic features is better managed with novel agents than traditional chemoimmunotherapy. As such, the need for testing has become more relevant for disease management. However, there is limited recent data on real-world patterns of testing for risk factor assessment and in-turn, patterns of evidence-based treatment selection. This study aimed to examine: (1) the frequency and results of testing, (2) timing of testing by line of therapy, and (3) factors associated with the receipt of testing. Methods: De-identified data from the Flatiron Health EHR-derived database was used to identify patients who were ≥18 years old with newly-diagnosed CLL/SLL, who had ≥6-month continuous enrollment, and no prior treatment from January 2014 to May 2021. Testing evaluated included IgHV mutation status, FISH cytogenetic (11q deletion [del(11q)], 13q deletion [del(13q)], 17p deletion [del(17p)], Trisomy 12 [+12]) and other biomarkers (including CD38 and ZAP-70) by immunophenotyping. Descriptive analyses were conducted to examine the frequency and results in the overall population, and compared by patient characteristics and across sociodemographic groups. Multivariable logistic regression was conducted to examine factors associated with the likelihood of receiving testing. Statistical significance was determined as a p-value of <0.05. Results: A total of 3,037 CLL patients were included (median age=73, 62.3% male, 74.6% white). The majority of patients (92%) received treatment in community practices, with 54.1% commercially-insured. We observed over half of CLL patients did not receive risk factor testing (Figure 1): IgHV mutation analyses (76.2%, n=2,315), FISH (61.5%, n=1,868) and immunophenotyping (72.1%, n=2,190). Of those who had testing, the majority (99%) had it done once prior to starting first-line therapy. Significant differences in the receipt of testing were observed between different age, gender, race/ethnicity, and regional subgroups (Table 1). Among patients who received testing, the presence of high-risk biomarkers was as follows: unmutated IgHV (56.1%), del(17p) present (14.4%), del(11q) present (16.9%), and CD38 present (30.8%). Compared to patients <65 years, testing results in elderly patients ≥65 years showed a lower presence of unmutated IgHV (53.8%) and del(11q) (15.7%) while higher del(17p) (14.7%) and +12 (28.1%). No significant disparity was observed in white vs. non-white patients except for a lower incidence of mutated IgHV and del(13q) presence. Compared to tested men, tested women had a lower presence of unmutated IgHV (53.9%), del(11q) (11.4%) and CD38+ (25.8%) while higher del(17p) (18.2%). We then investigated the impact of risk testing on therapy selection, and noted that patients with del(17p) had a higher likelihood than those who tested negative (73.6% vs. 48.4%) of being treated with novel agents (ibrutinib, acalabrutinib, or venetoclax). In contrast, 26.4% of those who tested del(17p) present and 39.8% among those who did not get tested received chemotherapy. Multivariable regression showed that patients who were older (≥65 years), female or those living in the west of U.S. were significantly less likely to receive testing. Conclusions: The NCCN guidelines recommend novel agents for patients with high-risk CLL/SLL. Thus, all patients are advised to complete risk-factor testing for both prognostication and selection of optimal, evidence-based therapy. Our real-world data highlights not only a significant gap in testing, but that this suboptimal testing is more common in vulnerable populations. We observed that despite identification of del(17), a quarter of CLL patients failed to receive novel agents in the frontline setting. Our analysis identified an unmet need for further education and refinement of clinical practice. This is necessary to achieve the best clinical outcome in CLL patients through robust risk-assessment testing and optimal therapeutic triaging. Figure 1 Figure 1. Disclosures Chanan-Khan: BieGene, Jansen, Ascentage: Consultancy; Ascentage, Starton, Cellectar, NonoDev, Alpha2 Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Alpha2 Pharmaceuticals: Patents & Royalties: Tabi; Ascentage: Research Funding; Cellectar: Current equity holder in publicly-traded company; Alpha2 Pharmaceuticals, NonoDev, Starton: Current holder of stock options in a privately-held company; BeiGene, Jansen, Ascentage: Honoraria. Yang: BeiGene, Ltd.: Current Employment. Liu: BeiGene, Ltd.: Current Employment. Zimmerman: BeiGene, Ltd.: Current Employment. Tang: BeiGene, Ltd.: Current Employment. Ailawadhi: Ascentage: Research Funding; Medimmune: Research Funding; Pharmacyclics: Consultancy, Research Funding; GSK: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; Genentech: Consultancy; Xencor: Research Funding; BMS: Consultancy, Research Funding; Karyopharm: Consultancy; Cellectar: Research Funding; Sanofi: Consultancy; Janssen: Consultancy, Research Funding; AbbVie: Consultancy; Beigene: Consultancy; Takeda: Consultancy.