Follicular lymphoma (FL) is an indolent B-cell neoplasm of germinal center origin. Standard treatment regimens consist of anti-CD20 therapy with or without chemotherapy. While high response rates to initial therapy are common, patients ultimately relapse or have progressive disease. Clinical risk factors such as the Follicular Lymphoma International Prognostic Index (FLIPI) have been identified, but there is a need for prognostic and predictive biomarkers. We studied markers of lymphoma cells and tumor microenvironment by immunohistochemistry in tissue samples from patients enrolled in 1 of 4 phase 2 trials of anti–CD20-based biological therapy for previously untreated grades 1 to 2 or 3A FL. Results were correlated with progression-free survival (PFS) and PFS status at 24 months. The 4 trials included 238 patients (51.1% male, median age: 55 y) with stage III, IV, or bulky stage II disease. By FLIPI, 24.6% had low-risk, 56.8% had intermediate-risk, and 18.6% had high-risk disease. The outcome differed significantly for patients treated with lenalidomide and rituximab (CALGB 50803) compared with the other 3 trials (median: PFS not reached vs. 3.0 y, hazard ratio=3.47, 95% confidence interval: 2.11-5.72); therefore, data were stratified by clinical trial (CALGB 50803 vs. all others) and adjusted for FLIPI risk group. Among 154 patients with available tissue, interfollicular BCL6 positivity, interfollicular CD10 positivity, and elevated Ki67 proliferation index ≥30% within neoplastic follicles were each associated with inferior PFS and a high risk of the early event by PFS status at 24 months. We identify promising biomarkers for FL risk stratification that warrant further validation in phase 3 trials.
The association of health behaviors with quality of life in lymphoma survivors
Final results of NCCTG N0489: Epratuzumab and rituximab in combination with cyclophosphamide, doxorubicin, vincristine, and prednisone chemotherapy (ER-CHOP) in patients with previously untreated diffuse large B-cell lymphoma
Journal of Clinical Oncology | August 25, 2020 | Volume: 27 | Issue: 15_suppl | Pages: 8508-8508
8508 Background: A prior pilot study of epratuzumab (Immunomedics) and rituximab in combination with CHOP chemotherapy (ER-CHOP) in untreated patients with diffuse large B-cell lymphoma demonstrated feasibility and safety. This multicenter NCCTG phase II study was carried out to assess efficacy. Methods: Patients received immunochemotherapy on the following schedule: epratuzumab 360 mg/m2, rituximab 375 mg/m2, and standard dose CHOP every 3 weeks for 6 cycles. Weekly blood counts were obtained to monitor hematological toxicity. Primary endpoint was 12 month event free survival (EFS12). Secondary endpoints were response rate, progression free survival, functional CR (PET negative) and toxicity. Results: 107 patients were accrued from Feb 2006 to Aug 2007. 29 patients were ineligible resulting in 78 eligible patients. Baseline patient characteristics for the eligible patients included median age 61 (range 21–82); 59% were male. 81% had advanced stage; IPI was 0–1 in 17 pts (22%), 2 in 22 pts (28%), 3 in 29 pts (37%) and 4–5 in 10 pts (13%). Based on the revised IPI (R-IPI) 50% were poor/high risk (IPI 3–5). 71% had an elevated LDH. Performance score was 0–1 in 69 pts and 2–3 in 9 pts. The ORR was 95% (CR/CRu: 73%). For the low risk IPI (0–2), ORR was 95% (CR/CRu: 74%) and for the high risk IPI (3–5), ORR was 95% (CR/CRu: 72%). The EFS at 12 months was 80%. The 12 month progression free survival (PFS12) and overall survival (OS12) is 82% and 88% respectively. EFS12, PFS12 and OS12 by IPI risk category is shown ( Table ). Conclusions: ER-CHOP every 21 days is feasible and safe. The ORR, EFS and PFS compare favorably to studies using R-CHOP especially in the high-intermediate and high risk IPI subgroups. A randomized phase III trial of R-CHOP vs ER-CHOP is needed to prove that dual antibody targeting in combination with CHOP is better. [Table: see text] No significant financial relationships to disclose.
Effect of antibiotic use prior to or concurrent with immune checkpoint inhibitors on outcomes in patients with Hodgkin lymphoma.
Journal of Clinical Oncology | May 25, 2020 | Volume: 38 | Issue: 15_suppl | Pages: 8030-8030
8030 Background: There is growing interest in the identification of modifiable patient-specific factors that may predict response to immune checkpoint inhibitors (ICIs) in classical Hodgkin lymphoma (cHL). Recently, it has been proposed that antibiotic use could decrease the efficacy of ICIs in the treatment of advanced solid malignancies. The objective of our study is to assess whether antibiotic use prior to or concurrent with ICIs is associated with changes in outcomes in patients with cHL. Methods: Patients who received a PD-1 or CTLA-4 blocker for the treatment of cHL at Mayo Clinic Rochester between January 1, 2011 and October 20, 2018 were identified. We conducted a longitudinal retrospective chart review to identify those who received antibiotics within 30 or 90 days prior to initiation or concurrent with ICI therapy. Univariate cox regression analysis was used to assess for an association between antibiotic use and overall survival (OS) and progression-free survival (PFS) within these groups; a time-dependent variable was used for concurrent antibiotic use. Results: A total of sixty-two patients were identified (61% male, median age at ICI initiation 35 years [range: 19-87]). Median duration of follow up from ICI start was 38 months (range: 4-78). Twenty-one patients (34%) received antibiotics within 90 days of initiation of ICI, of which thirteen (21%) received antibiotics within 30 days. Thirty-five patients (57%) received antibiotics concurrently with ICI. Concurrent and prior antibiotic use within 90 days of ICI were both associated with inferior PFS (concurrent HR = 6.38 [95% CI 3.02-13.47]; 90-day HR = 2.21 [95% CI 1.10-4.47]) and OS (concurrent HR = 8.77 [95% CI 1.91-40.36]; 90-day HR = 2.96 [95% CI 1.09-8.04]). Conclusions: Antibiotic use is associated with inferior outcomes in patients with cHL treated with ICIs in this single institution cohort. This may reflect potential antibiotic effects on the gut microbiome (GMB) and immune system as has been suggested in prior studies. Further confirmatory studies and examination of potential confounding covariates are needed.
Impact of organ function based standard exclusion criteria in diffuse large b-cell lymphoma (DLBCL) patients: Who gets left behind?
Journal of Clinical Oncology | May 25, 2020 | Volume: 38 | Issue: 15_suppl | Pages: e14100-e14100
e14100 Background: Only 3-5% of adult cancer patients in the US enroll in clinical trials. Patients with organ dysfunction are often excluded from clinical trials, regardless of specific drug metabolism or relative function of the organ. The ASCO and the US FDA recommend modernizing criteria related to baseline organ function and comorbidities. In hematological malignancies, often the disease itself is the reason for organ function derangement. In order to better inform clinical trial eligibility and improve participation in the future, we evaluated the impact of baseline organ function on the potential eligibility for clinical trial enrollment for real world patients with newly diagnosed DLBCL. Methods: Consecutive, newly diagnosed lymphoma patients were offered enrollment from 2002-2015 into the Molecular Epidemiology Resource (MER) of the University of Iowa/Mayo Clinic Lymphoma Specialized Program of Research Excellence. This analysis is based on 1270 DLBCL patients receiving immunochemotherapy. Baseline organ function parameters were identified from the exclusion criteria for hemoglobin, absolute neutrophil count (ANC), platelet count, creatinine, and bilirubin reported in recent frontline trials in DLBCL (Table). Abstracted clinical labs from the MER were used to determine the percent of patients that would be excluded based on the criteria. Results: We determined that 11-23% of MER DLBCL patients receiving standard of care frontline therapy would have been excluded in the various trials utilizing baseline organ function alone (Table). Hemoglobin and renal function had the greatest impact on exclusion. Conclusions: Current national and international (phase II and III) trials are excluding up to 23% of patients from clinical trial participation based on organ function alone in DLBCL. These data will be useful in future clinical trial development to meet ASCO recommendations to increase trial accrual, while balancing the drug toxicities and patient safety. An online tool was developed based on these results to aid future trial development. [Table: see text]
Fluorodeoxyglucose-Positron Emission Tomography Predicts Bone Marrow Involvement in the Staging of Follicular Lymphoma
The Oncologist | April 22, 2020 | Volume: 25 | Issue: 8 | Pages: 689-695
AbstractBackgroundStandard bone marrow biopsy (BMB) and bone involvement with follicular lymphoma (FL) on positron emission tomography (PET)/computed tomography (CT) both predict early clinical failure in FL. The key clinical question is whether PET/CT findings can obviate the need for BMB. The goal of this study was to determine the value of PET/CT in determining bone involvement in FL, using posterior iliac crest BMB as the gold standard.Materials and MethodsA total of 548 patients with newly diagnosed grade 1–3A FL were included. The presence, pattern, and location of bone involvement, spleen involvement, and standardized uptake values (SUVs) in the L3 vertebral body were recorded for all patients and compared with the BMB report.ResultsExcluding patients with focal bone lesions on PET/CT, the sensitivity and specificity of PET/CT in detecting bone or marrow involvement, compared with BMB, were 53% and 88%, respectively. The sensitivity and specificity of spleen involvement on PET/CT in predicting a positive BMB were 55% and 86%, respectively. An L3 SUVmax of less than 2.0 resulted in a negative predictive value (NPV) of 96% for marrow involvement on BMB; an L3 SUVmean below 1.4 resulted in an NPV of 100%.ConclusionIn newly diagnosed FL, PET/CT-detected bone and splenic involvement is highly specific for a positive BMB, and very low SUV values (<2.0 SUVmax and < 1.4 SUVmean) in the lumbar spine have a high NPV for a negative BMB. Routine BMB may be obviated in these patients. BMB remains necessary to definitively exclude bone marrow involvement in a large majority of patients with a negative PET.Implications for PracticePredicting early clinical failure in follicular lymphoma (FL) is important but difficult. Bone marrow involvement by FL is associated with early clinical failure, and determining this involvement is a key component of the initial staging. This study highlights that in certain patients, positron emission tomography/computed tomography is sufficient in determining bone or marrow involvement, without the need for a confirmatory bone marrow biopsy (BMB). An algorithm is provided based on these findings to help clinicians determine which patients would benefit from BMB and when it can be avoided.
Cytokine Gene Polymorphisms and Overall Survival in Follicular Lymphoma: Results from a Large Population-Based Study.
Abstract Background. The strongest established prognostic factors for follicular lymphoma are age and clinical factors. Biologic studies suggest a major role for the host immunologic environment in follicular lymphomagenesis, which is in part determined by host genetic background. Cytokines are key regulators of immune function and regulation, are highly polymorphic, and have been implicated in lymphoma etiology and prognosis. We evaluated the hypothesis that inherited variability in cytokine and related immune genes impact overall survival in follicular lymphoma. Methods. We genotyped 73 single nucleotide polymorphisms (SNPs) from 44 candidate cytokine and immune genes in 278 follicular lymphoma patients who participated in a population-based case-control study conducted from 1998–2000 in the Detroit, Iowa, Los Angeles and Seattle SEER (Surveillance, Epidemiology and End Results) cancer registries. Baseline clinical data and survival through early 2005 were obtained from cancer registry files. Cox proportional hazards analysis was used to estimate hazard ratios (HR) and corresponding 95% confidence intervals for the association between individual SNPs and overall survival, adjusting for age, demographic and clinical factors. We also used parallel modeling strategies to identify the best summary multi-SNP risk score to predict survival, and applied these results in a time-dependent receiver-operator characteristics (ROC) analysis. Results. The median age at diagnosis was 57 years (range, 25–74), and 59 (21%) of the patients died during follow-up, with a median follow-up of 59 months (range, 27 – 78 months) for surviving patients. In multivariate modeling, SNPs in IL8 (rs4073; HRTT=2.14, 1.26–3.63), IL2 (rs2069762; HRGT/TT=1.80, 1.06–3.05), IL12B (rs3212227; HRAA/CC=1.83, 1.06–3.06), and IL1RN (rs454078; HRAA=1.93, 1.11–3.34) were the strongest and most robust predictors of survival. A summary score of the number of deleterious genotypes from these four genes was strongly associated with survival (p=1.4 × 10−5) after accounting for demographic and clinical variables (HR=2.06 per deleterious genotype, 1.52–2.79). A combination of the four SNPs and the demographic and clinical risk scores was strongly associated with survival (p=1.8 × 10−11); the 5-year Kaplan Meier survival estimates were 96% (93%–100%), 72% (62%–83%) and 58% (48%–72%) for low, intermediate, and high risk groups respectively. In a time-dependent ROC analysis the three risk groups had an area under the curve (AUC) of 0.83 at 72 months of follow-up (95% CI 0.72–0.93). Conclusion: Host genetic variability in immune genes, particularly IL8, IL2, IL12B, and IL1RN, individually and particularly in combination, was associated with overall survival in follicular lymphoma after accounting for demographic and clinical factors. Host immunogenetics is a promising class of prognostic factors in follicular lymphoma that warrants further evaluation.
Smoking, Obesity and Overall Survival in Non-Hodgkin Lymphoma (NHL): A Population-Based Study.
Abstract Background: Several studies suggest that smoking and obesity may increase the risk of developing NHL, but the impact of these factors on survival is relatively unexplored. One recent population-based Italian study found that smoking may negatively impact overall survival. Methods: We evaluated the association of body mass index (BMI) and cigarette smoking on overall survival in 1,286 patients who participated in a population-based case-control study conducted through the Surveillance, Epidemiology, and End Results (SEER) cancer registries in Detroit, Iowa, Seattle and Los Angeles. BMI (on 1189 participants) and a smoking history (on 471 participants) were obtained through in-person interviews. Histology, stage, presence of B symptoms, first course of therapy, date of last follow-up, and vital status were derived from linkage to registry databases at each study site in the spring of 2005. Hazard Ratios (HRs) and 95% confidence intervals were estimated using Cox proportional hazards models, while adjusting for demographic and clinical factors. Results: The median age at diagnosis was 58 years (range: 16 – 74), and the most common histologies were DLBCL (33%), follicular (25%), SLL/CLL (12%), marginal zone (9%), mantle cell (4%) and Peripheral T-cell (3%). The median BMI was 26.6 (range: 16.2 – 47.3), and 26% of patients were classified as obese (i.e. BMI >30). Of patients with a smoking history, 47% had never smoked, 19% were active smokers at diagnosis, and 34% were former smokers. No significant differences were observed between those with and without tobacco use data in terms of primary lymphoma characteristics. Overall survival (OS) was defined as time from diagnosis to death due to any cause. Median follow-up on all living patients was 58 months (range: 4 – 78), and 333 patients had died. When BMI was assessed as a continuous measure, it was borderline significantly associated with OS (p=0.050). An indicator of whether or not BMI > 30 was also significantly associated with OS (HR=1.30; 95% CI: 1.01 – 1.68; p=0.042). Ever vs. never smokers also exhibited a survival disadvantage (HR=1.66; 95% CI: 1.12 – 2.44; p=0.011). When broken down further, former smokers who had smoked for >10 years (HR=1.61; 95% CI: 1.02 – 2.52; p=0.039) and current smokers (HR=1.79; 95% CI: 1.07 – 3.02; p=0.028) were at a survival disadvantage over those who had never smoked. When both smoking and BMI status were included in the model, only the indicator of being a current smoker remained statistically significant (p=0.031), with a trend toward decreased survival for former smokers who had smoked >10 years (p=0.061) and those with BMI >30 (p=0.058). Conclusions: NHL patients who smoke or are obese had a poorer overall survival. These observations warrant further investigation, including whether interventions for smoking cessation or weight loss can impact NHL survival.
Tissue Is the Issue: Accuracy of PET Imaging to Detect Bone Marrow Clearance in Patients with Peripheral T-Cell Lymphoma
Abstract INTRODUCTION: Adult mature T- and NK-cell neoplasms are a heterogeneous group of aggressive lymphomas comprising approximately 10% to 20% of all non-Hodgkin lymphomas (NHL) with an estimated 5-year overall survival of 40%. Staging and treatment strategies are guided by malignant involvement on PET/CT scan and bone marrow (BM) biopsy. The Lugano Criteria, established in 2014, suggested that focal FDG uptake within the bone marrow was highly sensitive for both Hodgkin (HL) and diffuse large B-cell lymphoma (DLBCL) potentially obviating the need for a bone marrow biopsy if no lesions were seen. Limited data exist regarding the sensitivity of PET for BM involvement in T-cell lymphoma. This study compares PET/CT scans and repeat BM biopsy in patients who have undergone treatment for peripheral T-cell lymphomas (PTCL) by evaluating BM avidity on PET scans. METHODS: This is a single institution study using the Mayo Clinic Lymphoma Database between January 1, 2001 and January 1, 2015. We retrospectively identified all patients with a diagnosis of PTCL, biopsy proven BM involvement at diagnosis, and a concomitant PET for staging. Patients were then reviewed to assess completion of induction therapy and availability of both PET/CT and bone marrow results post-therapy. Evaluation for concordance and discordant BM involvement were then determined using BM biopsy as the gold standard. RESULTS: Sixteen patients had both PET/CT and BM biopsy after completing induction therapy. Median age at diagnosis was 63 years (range 34-72) and 69% were male. PTCL subtype was peripheral T-cell lymphoma, not otherwise specified in seven patients; ALK negative anaplastic large cell lymphoma in one patient; and angioimmunoblastic in 8 patients. Pre-treatment PET/CT scans demonstrated eight patients (50%) with false negative scans. Post-treatment biopsy results demonstrated that ten (62.5%) had biopsy proven residual bone marrow involvement after induction. Eight patients (50%) were found to have BM biopsy proven disease with a negative PET scan. Two patients (12.5%) had both positive BM biopsy and PET scans; 5 patients (31.3%) had negative BM biopsies and PET scans. One patient (6.25%) had a negative BM biopsy, but had a PET scan that revealed positive disease. This patient was considered to have had a false positive PET scan and indeed has remained in remission since April 2009 without any further relapse or treatment. Sensitivity of PET for BM involvement was very poor at 20% (2/10) with a specificity of 50% (2/4) (Table 1 and 2). CONCLUSIONS: This study in PTCL indicates that PET scans at the completion of therapy have a 50% false negative rate. These patients should not be assumed to have negative bone marrow involvement based solely on PET/CT scans. A bone marrow biopsy at the end of therapy is necessary in PTCL patients to confirm complete response. Table 1. Bone Marrow Involvement Pre-Therapy PET Scan Imaging PET Negative PET Positive Total Patients Bone Marrow Negative NA NA NA Bone Marrow Positive 8 8 16 Total Patients 8 (50%) 8 (50%) 16 Abbreviations: NA, not applicable. The study defined that all patients had to have a positive bone marrow at baseline to be eligible for the study. Table 2. Bone Marrow Involvement PET Negative PET Positive Total Patients Bone Marrow Negative 4 2 6 (37.5%) Bone Marrow Positive 8 2 10 (62.5%) Total Patients 12 (75%) 4 (25%) 16 Table 1 and 2. Involvement of bone marrow with peripheral T-cell lymphoma based on evaluation by PET scans versus bone marrow biopsy. Disclosures Maurer: Kite Pharma: Research Funding.