Citations

Introduction: Kikuchi-Fujimoto disease (KFD), is a rare inflammatory disease of unknown etiology, typically presenting with transient fever and cervical lymphadenopathy. It is recently classified as a tumor-like lesion in the World Health Organization Classification 5th Edition. There are few large-scale studies on patient demographics and clinical course. This study aims to report detailed clinicopathological features of KFD. Methods: We reviewed 112 cases of KFD diagnosed at Okayama University Department of Pathology and Oncology, Okayama, Japan between 2012 and 2022. Patients who were diagnosed with autoimmune diseases or bacterial/tuberculous lymphadenitis after the initial presentation as KFD were excluded. Results: The average age of the included cases was 29.4 years (range:6 to 77 years) with slight female predominance (n = 51/115, 44.3% for male; n = 61/115, 53.0% for female). For the included cases of 30 years or older, there were more females than males. The cervical lymph nodes were the most commonly affected sites (85%). For the 70 patients who had complete follow-up data available in the electric medical records, the recurrence rate was 23%, without a difference between males and females. Laboratory tests demonstrated significantly lower complement 4 (C4) levels (p = 0.038) and a higher rate of positive antinuclear antibodies (p = 0.007) in the relapsed cases than in the cases without documented recurrence. The mean number of days prior to confirm the diagnosis was 71.5 days. Among the representative lymph node histology classification, proliferative type was the most common (n = 75; 77%), followed by necrotizing (n = 22; 22%), and xanthomatous (n = 1; 1%). The patients with necrotizing type had significantly enlarged lymph nodes (p = 0.047) and longer duration of symptoms (p = 0.009) compared to the proliferating type. Discussion: The present study provides data from a large KFD cohort to provide comprehensive clinicopathological information to date. While KFD is known to predominantly affect female, there were considerably more males up to age 30 than females, Being young and adolescent male KFD patients was associated with atypical features. Future studies are warranted to confirm the findings noted in the results, to clarify clinicopathological differences in the male young adolescent KFD, and further characterize the classical female KFD cases, including histological features, treatment responses, and association with autoimmune or malignant hematology conditions. Conclusion: In this study, we analyzed a large number of KFD cases and clarified characteristics. The comprehensive clinicopathological features provided by the present results may be useful in elucidating the pathogenesis and predicting the clinical course of such clinically challenging cases, including association with autoimmune diseases and its long-term outcomes.

Background: Due to recent advances, patients with follicular lymphoma (FL) have multiple treatment options with high response rates and durability. However, there is a gap in understanding how patient preferences influence treatment selection. To close this gap, we conducted a qualitative study using focus groups of adults with FL to understand their knowledge of treatment options, priorities, and decision-making process. We designed this study to inform the content of a planned discrete choice experiment in a larger population of patients with FL to better understand patient preferences and trade-offs around treatment delivery, side effects, outcomes, and quality of life. Methods: We conducted focus groups lasting 60-90 minutes, each with 3-5 participants recruited from the Lymphoma Epidemiology of Outcomes (LEO) Cohort Study. The LEO Cohort Study is a multi-institutional prospective cohort study of newly diagnosed adults with non-Hodgkin lymphoma from July 2015 to present. Each focus group was co-led by two investigators (U.D. and M.T.) and conducted using Zoom video technology. Participants were asked to comment on their understanding about FL and available treatments, their ideal treatment, their decision-making process about prior therapies, and quality of life and side effects associated with treatment. We performed exploratory content analysis of participant understanding of FL and their treatment preferences. We will continue to conduct focus groups until we reach thematic saturation, which we anticipate will occur with one additional focus group. Themes from all focus groups were identified and agreed upon by both investigators (U.D. and M.T.) and were verified by additional investigators (J.D., M.L, M.H., B.K.L, C.C., M.M.). Results: To date, we conducted five focus groups with a total of N=21 participants (median age 60 [range 41-88], 66.7% female, 71.4% non-Hispanic White, 14.3% Hispanic, 9.5% Asian, 4.8% Black/Hispanic). We identified the following themes and representative quotes: 1) Holistic approach:Participants wanted their oncologists to view their care from a holistic perspective, discussing their individual priorities and options that would accommodate their fitness routine and ability to work. “[I wish] if doctors can consider not just the physical choices, but also the mental and emotional choices as well, the holistic person.” - Participant 13 “There's zero chance I can go back to working in the type of career where other people rely on me for things. I can't keep things straight.” - Participant 16 2) Ideal treatment:An ideal treatment would limit impact on fatigue, cognitive function, and have minimal toxicity to preserve quality of life and an active lifestyle. “I would say something that has minimal impact on daily life would be ideal and something that would make you feel better.” - Participant 6 3) Shared decision-making: Participants wanted to be better informed about available treatment options and often utilized second opinions to inform their decisions. “It helped to get the second opinion versus not. It would've been a completely different set of events.” - Participant 17 4) Treatment burden:Financial impact and effort required by patients to receive care (e.g., travel, number of office visits, and duration of therapy) were key factors in patient decision-making. “Part of my quality of life went down because I had to fight with my insurance company consistently, and we pay a lot of money.” - Participant 11 “Really explain the time options and calendarize the treatment and be more specific about the amount of time that you're going to spend at the hospital and the process.” - Participant 20 5) Representation: Minority participants raised concerns about not knowing if the available treatment data pertained to them. “[My end-goal would be] having an understanding of how the treatment is going to be for minority people. Many times the treatments are tested, they are not tested for minorities.” - Participant 21 Conclusions: The patient perspective is critical for treatment decision-making and education. People living with FL expressed a desire for a holistic and individualized approach to treatment decision-making that incorporated their lifestyle, minimized side effects, and limited overall treatment burden. These focus groups identified emerging themes that warrant further investigation for survivors with FL.

ABSTRACTDiffuse large B‐cell lymphoma (DLBCL) patients that fail to achieve a complete metabolic response with frontline immunochemotherapy have a poor prognosis. Genomic profiling has led to a broader understanding of the molecular drivers in DLBCL, but it is unknown how well current classifiers identify patients that will experience primary treatment resistance (PTR). Using whole exome and RNA sequencing data from newly diagnosed DLBCL patients, we evaluated the genomic landscape of PTR and compared it to that of non‐PTR DLBCL. We found a significant increase in the frequency of TP53 (34% vs. 15%, p = 0.005) and ARID1A mutations (21% vs. 7%, p = 0.007) in PTR cases, with pathway analysis further demonstrating a downregulation of TP53 and an increase in chromatin modifying pathways. These results suggest that TP53 and ARID1A may be key mediators of PTR and important pathways contributing to the poor outcomes. We found that the current molecular classifiers were unable to identify PTR cases at diagnosis. However, our newly identified high‐risk signature identified 46% of PTR cases at diagnosis. Overall, these results contribute to our understanding of the genomic landscape of patients with primary treatment resistance.

Abstract Progression of disease within 24 months of initial immunochemotherapy (POD24) is a negative prognostic factor for patients with follicular lymphoma (FL). There is no standard treatment after POD24. Assembling an academic-based cohort from the Lymphoma Epidemiology of Outcomes Consortium for Real World Evidence, we evaluated patterns of care and outcomes for 220 patients with FL with POD24 and retained FL histology. Therapy after POD24 was heterogeneous, with no treatment category accounting for >25% of the total. Among patients initially treated with bendamustine-rituximab, rituximab, cyclophosphamide, doxorubicin, vincristine, prednisone (R-CHOP) was the predominant second-line choice (48%). Among patients initially treated with R-CHOP, aggressive salvage therapy was the predominant second-line choice (38%). Overall response rate to therapy after POD24 was 64% (95% confidence interval [CI], 56-70); complete response rate was 39% (95% CI, 32-46). The median event-free survival for therapy after POD24 was 9.8 months (95% CI, 7.3-12.1); 5-year overall survival (OS) was 71% (95% CI, 65-78). OS was inferior for patients aged >70 years (hazard ratio [HR], 2.31; 95% CI, 1.27-4.20) and those with high-risk FL International Prognostic Index scores at diagnosis (HR, 2.10; 95% CI, 1.23-3.60). No treatment category stood out with more favorable results. Cause of death was predominantly lymphoma related. Patients with follicular histology at their POD24 event had a low cumulative incidence of transformation (1.1% at 5 years). Our study is among the largest cohorts describing contemporary patterns of care for patients with POD24, providing a focused data set useful for interpreting and designing prospective clinical trials in this population.

Background: Major adverse cardiovascular events (MACE), including myocardial infarction, acute coronary syndrome, ischemic heart disease requiring revascularization, stroke, and heart failure, have been documented as significant contributors to mortality in cancer survivors. Coronary artery calcium (CAC) can predict MACE in non-cancer populations, while calcium in the aorta (CA) has not been evaluated as a prognostic marker. Every patient diagnosed with cancer undergoes a standard-of-care Positron Emission Tomography-Computed Tomography (PET-CT) or a chest CT before the initiation of chemotherapy. Hypothesis: To determine whether the CAC or CA of patients with Hodgkin's or non-Hodgkin's lymphoma, derived from standard-of-care PET-CT/chest CT, can predict the incidence of MACE. Methods: Patients treated with anthracycline-based chemotherapy, diagnosed and followed from January 1, 2013, through June 30, 2023, were included. Patients who did not undergo a PET-CT or CT, and/or developed MACE before treatment initiation were excluded. Univariate and multivariate adjusted Cox regression models were employed to assess whether the presence of CAC, CA, or CAC-CA was associated with the development of MACE. Calcium was retrospectively quantified using TeraRecon software (Durham NC) and categorized as: 0, 1-99, and >100. Outcome analyses was estimated using the Kaplan-Meier method. Results: 326 patients were included, mean age of 55 years (range: 52-60), predominantly male 201 (61%) and white 314 (96%), CAC was found in 89 patients and CA in 140. In the univariate regression model, a statistically significant association was found with values >100 for CA, CAC and CAC-CA with the risk of MACE. (Fig 1a/b/c). CAC equal to 0 demonstrated a significant protective effect against MACE. (Fig 1a). In the multivariable analysis, these associations persisted even after adjusting for comorbidities. (Table 1). Conclusion: CAC, CA and CAC/CA >100 in the standard-of-care CT/PET CT are predictors of MACE in lymphoma patients undergoing anthracycline treatment, a CAC equal to 0 has protective effect, these relationships remained statistically significant after adjusting for comorbidities.

Abstract Marginal zone lymphoma (MZL) includes extranodal MZL (EMZL), splenic MZL (SMZL), and nodal MZL (NMZL) subtypes. Histologic transformation (HT) to large B-cell lymphomas is well documented but with a large variability in published cumulative incidence rates. We report results from the Molecular Epidemiology Resource (MER) cohort on the cumulative incidence of HT (with death as competing risk) and the associated risk factors and outcomes. We also conducted a meta-analysis of available studies on the cumulative incidence of HT. From 2002 to 2015, 529 patients with MZL were enrolled in the MER study (69% EMZL, 16% SMZL, and 15% NMZL). The 10-year overall survival (OS) from diagnosis was 66%. HT occurred in 21 patients with a 5-year and 10-year cumulative incidence of 2.7% (95% confidence interval [CI], 0.02-0.05) and 3.6% (95% CI, 0.02-0.06), respectively. HT was associated with an increased risk for death (subdistribution hazard ratio [HR], 3.95; 95% CI, 2.06-7.55). Predictors of HT were ≥2 extranodal sites and mucosa-associated lymphoid tissue International Prognostic Index score ≥2. The OS was 79% at 5 years and 55% at 10 years after HT. In the meta-analysis of 12 studies (6161 patients), the 5- and 10-year cumulative incidence of HT across all subtypes were 5% (95% CI, 0.05-0.06) and 8% (95% CI, 0.07-0.09), respectively. These rates were lower in EMZL (3% and 5%) than in SMZL (7% and 13%) and NMZL (9% and 13%). Although HT is relatively uncommon in the first decade after MZL diagnosis, it is associated with an inferior outcome and needs new approaches for prevention and management.

Abstract Recent introduction of 2 different lymphoma classifications has raised concerns about consistency in diagnosis, management, and clinical trial enrollment. Data from a large cohort reflecting real-world clinical practice suggest that differences between the classifications will affect <1% of non-Hodgkin lymphomas.