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2963 Impact of Circulating Lymphoma at Diagnosis on Outcomes in Patients with Diffuse Large B-Cell Lymphoma

Program: Oral and Poster Abstracts
Session: 627. Aggressive Lymphomas: Clinical and Epidemiological: Poster II
Hematology Disease Topics & Pathways:
Research, Clinical Research, real-world evidence
Sunday, December 11, 2022, 6:00 PM-8:00 PM

Srichandhana Rajamouli, MD1*, Eric McLaughlin, MS2*, Walter Hanel, MD3*, David A. Bond, MD, BS4, Yazeed Sawalha, MD5, Timothy J. Voorhees, MD, MSc6, Lapo Alinari, MD, PhD7, Lalit Sehgal, PhD8, Kami J. Maddocks, MD7, Beth Christian9, Daniel Jones, MD, PhD10 and Narendranath Epperla, MD, MS11

1Ohio State University, Columbus, OH
2Center for Biostatistics, Department of Biomedical Informatics, The Ohio State University Wexner Medical Center, Columbus, OH
3Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH
4Department of Medicine, Division of Hematology, The Ohio State University Comprehensive Cancer Center - Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH
5Division of Hematology, The Ohio State University Wexner Medical Center, Columbus, OH
6The Ohio State University James Comprehensive Cancer Center, Columbus, OH
7The Ohio State University Comprehensive Cancer Center - Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Division of Hematology, Columbus, OH
8Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
9The James Cancer Hospital and Solove Research Institute, The Ohio State University, Columbus, OH
10The Ohio State University Comprehensive Cancer Center, Columbus, OH
11The Ohio State University Comprehensive Cancer Center - Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH

Introduction
Diffuse large B-cell lymphoma (DLBCL) is the most common B-cell non-Hodgkin lymphoma. The risk stratification tools continue to evolve and currently, there are various known prognostic factors including revised international prognostic index (R-IPI), MYC/BCL2 overexpression by IHC, MYC/BCL2, and or BCL6 rearrangement (double hit/triple hit lymphomas [DHL/THL]), CD5 expression, and metabolic tumor volume. Outside of case reports and small case series (Muringampurath-John, D et al BJH 2012), the relevance of circulating lymphoma (CL) in patients with DLBCL at diagnosis is largely unknown. Hence, we sought to evaluate the impact of CL at diagnosis on outcomes in patients with DLBCL.

Methods
This is a single-center, retrospective cohort study of DLBCL patients treated at Ohio State University and included patients who were ≥18 years old, diagnosed with DLBCL from 2010-2021, and had information on flow cytometry at diagnosis. Patients were grouped according to positive or negative flow cytometry results as CL+ and CL-, respectively. The primary endpoint was progression-free survival (PFS), and the secondary endpoint was overall survival (OS) in CL+ and CL- groups. PFS was defined as the time from the start of first-line therapy until lymphoma relapse/progression or death from any cause, censoring at the last clinical assessment. OS was defined as the time from the start of first-line therapy until death or last follow-up. The first-line therapy was categorized into two groups, R-CHOP, and intensive induction therapy (R-EPOCH, R-hyperCVAD, and R-CODOX-M/R-IVAC).

Results
Among the 181 eligible patients with newly diagnosed DLBCL, 30 (17%) had detectable CL at diagnosis, while 151 (83%) did not. Patients in the CL+ group had a higher median age (66 vs 64 years), more advanced stage disease (97% vs 83%), and R-IPI score of 3-5 (89% vs 62%) compared to the CL- group. The two groups were balanced in regard to gender, race, ECOG performance status, bulky disease, presence of B symptoms, cell of origin, synchronous central nervous system (CNS) involvement, DHL/THL, and first-line therapy.

The median PFS was 4.2 years (95%CI=0.9-not reached [NR]) in the CL+ group compared to 10.9 years (95%CI=4.8-NR) in the CL- group (p=0.20, Figure 1). While the median PFS was not significantly different between CL+ and CL- groups among patients treated with R-CHOP chemotherapy (median PFS NR vs 10.9 years, respectively, p=0.99). However, compared to the CL+ group, the median PFS was significantly longer in the CL- group receiving intensive induction therapy (median PFS 1.8 years vs NR, respectively, p=0.04).

After adjusting for factors associated with PFS in multivariable cox regression (gender, R-IPI, first-line therapy, synchronous CNS involvement, and DHL/THL), there was no difference in PFS between CL+ and CL- groups (HR=1.48, 95%CI=0.77-2.85, p=0.24).

The median OS was 4.2 years (95%CI=1.7-NR) in the CL+ group while it was NR in the CL- group (p=0.05, Figure 2). After adjusting for factors associated with PFS in multivariable cox regression (gender, R-IPI, first-line therapy, synchronous CNS involvement, and DHL/THL), there was no difference in OS between CL+ and CL- groups (HR=1.85, 95%CI=0.90-3.79, p=0.09).

Conclusions
This is the first study to compare the outcomes of patients with CL+ and CL- groups in newly diagnosed DLBCL. In this largest study to date evaluating the prognostic relevance of CL in patients with DLBCL, we found that CL at diagnosis was not associated with a shorter PFS but trended towards inferior OS. The CL+ group represents a potentially high-risk patient population and needs to be prioritized for experimental and cellular therapies at first relapse. Future prospective studies should include testing for CL and validate the findings found in our study.

Disclosures: Sawalha: Epizyme: Consultancy; BeiGene: Research Funding; Celgene/BMS: Research Funding; TG Therapeutics: Research Funding. Voorhees: Incyte: Research Funding; AstraZeneca: Research Funding. Maddocks: AstraZeneca: Consultancy; Genentech: Consultancy; Gilead: Consultancy; Genmab: Consultancy; Lilly: Consultancy; Kite: Consultancy; Incyte: Consultancy; Acerta: Consultancy; ADC Therapeutics: Consultancy; Morphosys: Consultancy; Janssen: Consultancy; Abbvie: Consultancy; Celgene: Consultancy; Beigene: Consultancy; BMS: Consultancy, Research Funding; Pharmacyclics: Consultancy, Research Funding; Pfizer: Research Funding. Christian: Seattle Genetics: Research Funding; Triphase: Research Funding; Acerta: Research Funding; Celgene/Bristol-Myers Squibb: Research Funding; AstraZeneca: Membership on an entity's Board of Directors or advisory committees; Genentech: Membership on an entity's Board of Directors or advisory committees, Research Funding; Morphosys: Membership on an entity's Board of Directors or advisory committees, Research Funding; Genmab: Membership on an entity's Board of Directors or advisory committees; ADC Therapeutics: Membership on an entity's Board of Directors or advisory committees; Millennium: Research Funding. Epperla: Pharmacyclics: Other: Ad Board; Seattle Genetics: Other: Ad Board; BeiGene: Other: Ad Board; TG Therapeutics: Other: Ad Board; Novartis: Honoraria; Incyte: Speakers Bureau.

*signifies non-member of ASH