Citations

Abstract Background: Given a potential risk of extravasation with vesicants and irritants, central venous catheters (CVCs), such as port-a-cath or peripherally inserted central catheters (PICC), are commonly used for the administration of anthracycline-based chemotherapy. However, CVC placement can result in treatment delay, deep vein thrombosis (DVT), catheter malfunction, and added burdens (eg, financial, travel, etc), partly due to the need for regular flushing. Peripheral intravenous (PIV) access is often utilized in the academic setting with select frontline chemotherapy regimens. However, there is limited data reporting on the safety of PIV in this setting. This large, multicenter RWA evaluated the use and associated complications of PIV and CVC for administering CHOP- or ABVD-based chemotherapy in patients (pts) with lymphoma. Methods: We conducted a retrospective RWA across 8 U.S. centers among pts aged ≥18 years with non-Hodgkin lymphoma and Hodgkin lymphoma who were consecutively treated with ABVD or CHOP-based anthracycline chemotherapy via PIV or CVC access between 2010-2024. Choice of catheter placement was at the discretion of the pt's treating physician. Detailed baseline and safety data were collected. The primary outcome was extravasation; secondary outcomes included infiltration, DVT, cellulitis, erythema, and pain. Standard definitions of extravasation and other complications were used (Jackson-Rose J. CJON 2017). Rates of complications were compared via Fischer exact testing. Results: A total of 1,414 pts were included in the analysis: 790 in each arm (ie, PIV vs CVC). Of these, 624 were unique to each group, while 166 pts received chemotherapy via both modalities (PIV and CVC during the treatment course). Overall, 78.9% of pts completed all treatment as planned via PIV. Median age was 63 years (IQR 45–75) in the PIV group and 61 years (IQR 40–73) in the CVC group. Male sex comprised 57% vs 51%, ECOG 0–1 performance status was 83% vs 76%, and advanced-stage disease (stage III/IV) was present in 51% vs 62%, respectively. Lymphoma subtypes were comparable: DLBCL/high-grade/B-cell NOS (54.5% vs 56.1%), Hodgkin lymphoma (27.2% vs 27.5%), T-cell lymphoma (12.4% vs 6.6%), and indolent/mantle cell lymphoma (5.6% vs 6.7%). Among those receiving chemotherapy via CVC, 78.5% were treated through a port-a-cath and 21.5% via PICC. CHOP-based and ABVD-based regimens were administered to 68% and 32% of PIV pts, and 69.6% and 30.4% of CVC pts, respectively. A total of 4,084 (PIV) vs 3,859 (CVC) treatment cycles were delivered, corresponding to 4,347 (PIV) vs 4,884 (CVC) anthracycline infusion days. There was 1 documented case of extravasation in the CVC group and 2 suspected cases in the PIV group (p=0.9); for PIV, this translates to a per pt risk of 0.3% (or 0.05% of infusion days). The two PIV cases involved elderly women with DLBCL receiving CHOP. Both developed localized symptoms post-infusion and were treated conservatively (DMSO/warm compresses or dexrazoxane/ice), with full symptom resolution within 1 week and 1 day, respectively. No tissue or vascular injury occurred. Additionally, there were no significant differences between the PIV and CVC groups in the rates of induration/swelling (1.8% vs 2.0%, p=0.85), phlebitis/cellulitis (2.4% vs 2.4%, p=0.9), venous thromboembolism (VTE; 1.4% vs 2.0%, p=0.32), or erythema (3.8% vs 5.1%, p=0.27). Pain or tenderness at the infusion site (8.5% vs 2.9%, p=0.001) and infiltration (1.4 vs 0.13%, p=0.006) were more frequent in the PIV group. Chronic vascular complications related to prior VTE was slightly lower in the PIV group (0.13% vs 0.9%, p=0.06), but not significant. Additional details from a propensity score-matched analysis will be presented at the meeting. Conclusions: This is the largest known analysis to date evaluating the safety of PIV access for anthracycline-based chemotherapy in >1,500 lymphoma pts over a recent 15-year period, representing >9,000 total treatments with CHOP or ABVD. PIV access was found to be safe and associated with a low rate of serious complications. Moreover, extravasation was rare and there was not a significant difference observed between PIV and CVC use. While PIV use was associated with higher rates of local pain/tenderness and infiltration, the events were uncommon and self-limited. Despite the widespread default to CVC placement in many centers, these findings support the selective use of PIV in appropriate pts as elucidated here.

Abstract Follicular lymphoma (FL) is the most common indolent non-Hodgkin lymphoma. Although patients with FL have high response rates to therapy, most develop increasingly resistant disease. In addition, transformation into an aggressive lymphoma is associated with unfavorable outcomes. Many novel agents are under investigation, and early clinical data are encouraging. Aligning treatment with the underlying tumor biology and sequencing of therapies remain key clinical challenges. At the Lymphoma Research Foundation’s biannual 2024 Follicular Lymphoma Scientific Workshop, experts convened to discuss the role of chemotherapy in the context of new therapies, the impact of early progression on treatment sequencing, novel end points in clinical trials, disease biology and the tumor microenvironment, and new treatments on the horizon. This report focuses on updates in FL biology, first-line treatment, the role of progression of disease in 24 months, clinical trial design, and redefining cure in FL.

PURPOSE Although most patients with follicular lymphoma (FL) can expect an indolent course, progressive lymphoma remains the primary cause of death during the first decade after diagnosis. Progression of disease within 24 months (POD24) of starting first-line (1L) immunochemotherapy defines a high-risk population with poor survival, but better risk stratification at diagnosis is needed. METHODS The FLIPI24 model was developed and internally validated to predict 24-month event rates using individual data from 4,485 patients treated with 1L immunochemotherapy from 10 observational cohorts of FL. Overall and cause-specific survival was further evaluated in FLIPI24 risk groups. External validation in the 1L immunochemotherapy setting was performed using the prospective observational Lymphoma Epidemiology of Outcomes (LEO) cohort (N = 565) and three randomized phase III trials (N = 3,192); extension to all patients with FL (any 1L therapy) was performed in the LEO cohort (N = 1,445) and its Molecular Epidemiology Resource subcohort (N = 1,074). RESULTS The FLIPI24 model uses age and four blood-based variables (hemoglobin, lactate dehydrogenase, beta-2 microglobulin, and WBC count). FLIPI24 showed consistent performance across validation and extension data sets, which was superior to existing prognostic tools. Across the four external immunochemotherapy validation data sets, patients with high-risk FLIPI24 (23%-32% of patients) had significantly higher 24-month event rates (22%-35%) and inferior 5-year overall survival (77%-83%) compared with patients with low-risk FLIPI24 (29%-31% of patients, 24-month event rates: 10%-12%; 5-year OS: 96%-97%). Results were consistent when evaluating lymphoma-related death and when extended to all patients with FL. CONCLUSION The FLIPI24 model robustly stratifies, at diagnosis, patients with FL at increased risk of lymphoma-related death versus patients with very low lymphoma-related mortality during the first decade after diagnosis. FLIPI24 can be used to enrich future clinical trial designs in newly diagnosed FL.

ABSTRACT Newly diagnosed patients with non‐Hodgkin lymphoma (NHL) often have a history of other diseases, and these comorbidities can impact patient treatment and management options, as well as overall survival (OS). We developed the Lymphoma Epidemiology of Outcomes (LEO) comorbidity index (LCI) as a sum of 10 comorbidities adapted from the Self‐Report‐Generated Charlson Comorbidity Index (SRG‐CCI) for use in the LEO cohort, a national prospective study of newly diagnosed NHL. Of the 5502 participants with self‐reported comorbidity data, 3107 (56.4%) were male and the mean age at diagnosis was 60.9 years (range, 18–99 years). The LCI ranged from 0 to 6, with 48.6% having 0, 30.2% having 1, 21.2% having 2 or more comorbidities. With a median follow‐up of 62.4 months among surviving participants, 2099 patients had an event and 1219 died. Continuous LCI similarly predicted both 1‐year mortality (c‐statistic = 0.654) and OS (c‐statistic = 0.655), while it showed a weaker but still statistically significant predictive ability for lymphoma‐specific (c‐statistics = 0.617) and event‐free (c‐statistic = 0.574) survival. Participants with 1 (HR = 1.21, 95% CI 1.05–1.39) and 2+ (HR = 1.80, 95% CI 1.56–2.08) comorbidities had inferior OS compared to those with no comorbidities after adjustment for age and sex (c‐statistic = 0.654), and performance strengthened after adjustment for the International Prognostic Index (c‐statistic = 0.672). LCI predicted OS most strongly in marginal zone (c‐statistics = 0.748) and weakest in T‐cell (c‐statistic = 0.579) lymphoma. The cumulative incidence of death due to lymphoma, lymphoma treatment, and other causes all increased with increasing comorbidities, with the greatest increase observed for death due to other causes. The LCI performs comparable to other published comorbidity indices, supporting its use in the LEO cohort to better model real‐world outcomes and more generally providing an approach to implementing comorbidity indices in cancer survivorship cohorts.

ABSTRACT Rituximab, gemcitabine, and oxaliplatin (R‐GemOx) is a commonly used chemoimmunotherapy regimen for relapsed or refractory (R/R) diffuse large B‐cell lymphoma (DLBCL), but there are limited real‐world data. In a multicenter retrospective study from a cohort of eight US academic centers (LEO CReWE), we evaluated 183 patients with R/R DLBCL and high‐grade B cell lymphoma treated with R‐GemOx, including subgroups treated without intent for consolidation with autologous stem cell transplant (ASCT) or chimeric antigen receptor (CAR) T cell therapy ( n = 100), those utilizing R‐GemOx as a bridge to ASCT or CAR T ( n = 83), and those aged 70 and older ( n = 71). Overall response rates (ORRs) for all patients treated with R‐GemOx were 45% with a complete response (CR) rate of 29%. The median event‐free survival (EFS) was 2.3 months, and the median overall survival (OS) was 13.5 months. Patients receiving R‐GemOx without intent for ASCT or CAR T had ORR and CR rates of 33% and 18%, respectively, with median EFS and OS of 2.0 and 9.5 months, respectively. Patients receiving R‐GemOx as a bridge to ASCT or CAR T had ORR and CR rates of 57% and 36%, respectively, with median EFS and OS of 3.5 and 17.4 months, respectively. Patients receiving R‐GemOx aged 70 and older had ORR and CR rates of 53% and 33%, respectively, with median EFS and OS of 2.2 and 13.9 months, respectively. These data provide a benchmark for R‐GemOx in the rapidly evolving landscape of R/R DLBCL therapies.

Abstract Follicular lymphoma is the most common indolent lymphoma, with a favorable prognosis and survival measured in decades. However, approximately 15% to 20% of patients encounter early disease progression, termed POD24, within 24 months from diagnosis or treatment initiation. Recognizing the correlation between POD24 and a heightened risk of lymphoma-related death has sparked intensive investigations into the clinical and biological determinants of POD24 and the development of innovative treatment strategies targeting this group. Research is also ongoing to understand the varying impact of POD24 based on different clinical contexts and the implications of early histologic transformation on POD24 prognosis. Recent investigations have uncovered potential new predictors of POD24, including genetic and nongenetic alterations as well as some conflicting F-fludeoxyglucose–positron emission tomography characteristics such as maximum standardized uptake value and total metabolic tumor volume. These developments, together with clinical predictors, have led to the emergence of several clinicopathologic tools to help identify at diagnosis patients who may be at higher risk for POD24. As these models are not routinely used, more work is needed to develop new risk-stratification strategies integrating clinical and molecular risk profiling that can be easily implemented in clinical practice to drive therapeutic choice. This review aims to delineate the modest but incremental progress achieved in our understanding of POD24, both clinically and biologically. Furthermore, we offer insights into the best practices to approach POD24 in the current era, aspiring to chart a new path forward to optimize patient outcomes.