Polley, Mei‐Yin C.

Abstract Background: TNBC is the most aggressive sub-type of breast cancer and has limited targeted therapies. Atezolizumab was recently FDA-approved for patients with advanced PD-L1+ TNBC. In a well-characterized cohort of patients with early-stage TNBC, we used the FDA-approved PD-L1 SP142 companion assay for atezolizumab to score whole tumor sections for PD-L1 expression. We determined the frequency and scoring distribution of PD-L1 in these tumors and evaluated PD-L1 status for associations with clinicopathologic variables and outcomes. Methods: Whole tumor sections from 498 women with surgically-treated, non-(distant) metastatic TNBC (ER/PR <1% & HER2-negative by central review) were semi-quantitatively scored for % of PD-L1-staining tumor cells (TC) or tumor-associated immune cells (IC) (PD-L1 SP142, Ventana, performed in CAP/CLIA-certified clinical laboratory). Per FDA assay guidelines, PD-L1+ tumors were defined as ≥1% of tumor-associated immune cells (IC) staining per tumor area. Baseline clinical characteristics, histopathologic features, Ki-67 proliferative indices (PI), and stromal tumor infiltrating lymphocytes (TILs) were correlated with PD-L1 status. The impact of tumoral PD-L1 status on invasive disease-free survival (IDFS) and overall survival (OS) was assessed using Cox proportional hazards models. Results: The majority of tumors were pT1-T2 (95%), pN0-1 (85%), and grade 3 (90%) with Ki-67 >15% (80%). 228/498 (46%) tumors were PD-L1+, distributed as IC score 1-5%: 21%, 6-10%: 13%, 11-20%: 5% and >20%: 7%. 270/498 (54%) were PD-L1-. 43 (8.6%) of tumors had PD-L1 staining in TC (all but 1 were also IC+). PD-L1 IC expression was associated with larger tumor size (p = 0.005), higher nodal stage (≥pN1: 43% vs. 31%, p < 0.001), higher grade (grade 3: 95% vs. 86%, p< 0.001), higher Ki-67 PI (>15%: 88% vs. 69%, p <0.001), and stromal TILs (median score: 40% vs. 10%; p < 0.001). PD-L1 IC status was not associated with patient age. Among histologic subtypes, PD-L1+ tumors were more frequently medullary type (31% vs. 6%) and less frequently metaplastic type (4% vs 10%). At time of this analysis, median follow-up for IDFS and OS were 11 years and 7.2 years, respectively. By univariable analysis, absence of PD-L1 IC expression was associated with poorer IDFS (median: 15.5 vs. 20 years, p = 0.04) and OS (9.5 vs. 17.5 years, p < 0.05).By multivariable analysis, tumor size, stromal TILs, nodal status, and adjuvant chemotherapy (CTX) were significantly associated with IDFS. Age, stromal TILs, nodal status, and receipt of adjuvant CTX were associated with OS. PD-L1+ tumors trended toward improved IDFS (statistical significance not reached), HR: 0.68 (95% CI: 0.45-1.03, p= 0.068) but not OS: 0.90 (95% CI: 0.52-1.57, p= 0.32). Conclusion: Using the PD-L1 SP142 companion assay, almost half of early-stage TNBC were PD-L1+ (IC). However, PD-L1 expression correlated with increasing tumor size and nodal burden, as well as histologic grade, Ki-67 PI, stromal TILs and lymphocyte-enriched subtypes. PD-L1 was associated with improved IDFS and OS in univariable analysis but not multivariable analysis. The majority of the PD-L1+ tumors (73%) had IC scores ≤10%, with heterogeneous tumoral staining. Given the low (1%) assay threshold for positivity, these data emphasize the utility of evaluating PD-L1 in whole tumor sections rather than tissue cores. Citation Format: Jodi M Carter, Mei-Yin C Polley, Jason P Sinnwell, Roberto A Leon-Ferre, Fergus J Couch, Krishna R Kalari, Judy C Boughey, Minetta C Liu, Daniel W Visscher, Matthew P Goetz. Frequency, characteristics and prognostic factors of PD-L1+ triple negative breast cancer using the PD-L1 SP142 companion assay [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr PD1-08.

78 Background: Previous study demonstrated that activation of RAS/MAPK pathway is associated with reduced tumor infiltrating lymphocytes and poor response to neoadjuvant chemotherapy in triple negative breast cancer (TNBC). Further study showed that inhibition of MAPK pathway with a MEK inhibitor is synergistic with anti-PD1/PD-L1 therapies. Methods: Patients with unresectable locally advanced or metastatic TNBC with ≤ 3 prior lines of therapy without prior anti-PD-1/PD-L1/PD-L2 therapies were enrolled. Treatment was started with a 2-week run in period with single agent binimetinib. Dose level 0 was binimetinib at 45 mg oral twice daily continuously and dose level -1 was 30 mg twice daily. Pembrolizumab was given at a fixed dose of 200 mg every 3 weeks at both dose levels. Phase I study was based on the standard 3+3 design. Results: A total of 12 patients were enrolled and treated in the phase 1. Five patients were enrolled at dose level 0, 1 patient withdrew prior to treatment and 1 patient was not evaluable for dose limiting toxicity (DLT). Among 3 evaluable patients, 2 patients experienced DLT with grade 3 flank pain and ALT abnormality. Additional 8 patients were enrolled at dose level -1. Out of 6 evaluable patients for DLT, there was 1 DLT observed with grade 3 AST and ALT abnormality. However, this particular patient had liver metastasis with grade 1 AST and ALT abnormality at baseline and her liver function test (LFT) normalized in 3 weeks after treatment discontinuation and oral prednisone. Other grade 1-2 common AEs included rash, LFT increase, abdominal pain, mucositis, nausea, cardiac troponin T increase without EKG change. The efficacy data will be presented at the meeting after the phase II interim analysis. Conclusions: Pembrolizumab in combination with binimetinib at 30 mg twice daily appears to be safe based on the initial cohort. Phase II part is currently ongoing with binimetinib 30 mg twice daily and pembrolizumab 200 mg every 3 weeks with a total of 23 patients planned where the safety and efficacy of this combination will be further evaluated. Clinical trial information: NCT03106415.

BACKGROUND: Historically, one in five Hodgkin Lymphoma (HL) patients treated with bleomycin develop bleomycin pulmonary toxicity (BPT), a life-threatening interstitial pneumonitis. The current treatment paradigm consists of prompt discontinuation of bleomycin, administration of corticosteroids, antibiotics, hospital admission, respiratory therapy, or intensive care. BPT represents a challenge for patients with HL as it not only impairs respiratory function, but also has negative impacts on clinical outcomes. A collection of a dozen studies suggest BPT has a mortality rate just short of 10% of patients who develop BPT. Given recent data on bleomycin omission with negative interim PET scan, we assessed changes in BPT rates and severity over the past 15 years. Overall, treatment protocol characterization and patient characteristics most responsive to BPT treatment are poorly understood. OBJECTIVES: In this study, we investigated the clinical impact and treatment strategies in patients with BPT. Our goals were to: 1) Identify HL patients in the last decades who developed BPT and identify risk factors for BPT, 2) evaluate the impact of BPT on long-term clinical outcomes, and 3) characterize patterns of treatment strategies among patients with HL who develop BPT. METHODS: A single-center, retrospective analysis was preformed using patient data from the Mayo Clinic Lymphoma Database (Rochester, MN) consisting of 1,299 patients diagnosed with HL. All patients were diagnosed between 2003-2018. Inclusion criteria included 1) newly diagnosed, biopsy proven HL, 2) upfront treatment with ABVD, 3) treatment was received at our institution. All patients were assessed for clinically relevant HL characteristics including stage of disease, presence of bulky disease, presence of B symptoms, Eastern Cooperative Oncology Group (ECOG) performance status, BPT risk factors, and bleomycin treatment regimen. BPT was clinically defined as 1) Presence of pulmonary symptoms, 2) bilateral interstitial infiltrates on imaging, and 3) no evidence of infectious etiology. Patients treated in the "Early Era" (2000s) were compared to patients in the "Recent Era" (2010s). Comparison of continuous variables between BPT groups was assessed with Wilcox rank-sum test. OS and PFS were estimated via the Kaplan-Meier method. Approval of the protocol by the Mayo Clinic Institutional Review Board (IRB) was obtained and all patients were consented accordingly. RESULTS: One-hundred twenty six patients met the inclusion criteria for this study. Median follow-up for PFS and OS was 5.5 years (95%CI = 4.8-6.4) and 5.8 years (95%CI = 5.0-7.0), respectively. The 10-year OS and PFS among all patients were 85.1% (95%CI = 77.8-93.1) and 86.3% (95%CI = 80.1-93.0), respectively. Forty-seven patients (37% of all patients) met criteria for BPT. The estimated 10-year OS for BPT and non-BPT patients were 74.7% (95%CI = 61.8-90.5) and 91.7% (95%CI = 83.9-100.0), respectively. The estimated 10-year PFS for BPT and non-BPT patients were 84.7% (95%CI = 74.8-95.8) and 87.0% (95%CI = 79.1-95.8), respectively. In univariable analysis, BPT negatively impacted OS (HR=3.6, 95%CI: 1.2-10.6). However, bleomycin omission did not impact OS (HR=1.3, 95%CI=0.5-3.7). BPT-mortality was 17%. In multivariable analysis, BPT was not significantly associated with OS after adjusting for baseline characteristics (HR=3.0, 95%CI=0.9-9.9). Patients were older (median: 46 vs 33 years) and received less bleomycin (median: 107 vs 215 units) compared to non-BPT patients. BPT was most often managed with bleomycin omission with 59% of patients (74 of 126 patients) having omitted bleomycin at some point during treatment. Patients treated in the "Recent Era" (2010s) had lower BPT rates (28% vs 48%), mortality (10% vs 21%), bleomycin dose (143 vs 204 units), and bleomycin cycles (7 vs 12 cycles), yet higher prophylactic bleomycin omission (59% vs 8%) compared to "Early Era" (2000s). Patients treated in the Recent Era compared to Early Era had a reduction of BPT treatment with steroids, hospital admission, respiratory therapy, and ICU admission by 12%, 22%, 14%, 13%, respectively. CONCLUSION: Overall, our data suggests BPT continues to impact OS in HL patients treated with ABVD, however BPT treatment is decreasing as management changed in recent years. Disclosures Ansell: Bristol-Myers Squibb: Research Funding; Mayo Clinic Rochester: Employment; LAM Therapeutics: Research Funding; Trillium: Research Funding; Affimed: Research Funding; Seattle Genetics: Research Funding; Affimed: Research Funding; Mayo Clinic Rochester: Employment; Regeneron: Research Funding; Trillium: Research Funding; Seattle Genetics: Research Funding; LAM Therapeutics: Research Funding; Regeneron: Research Funding; Bristol-Myers Squibb: Research Funding.

Purpose: Multiple myeloma (MM) is a plasma cell (PC) malignancy with an increasing incidence in the US. Epidemiological studies demonstrate a 2-3 fold higher incidence of the pre-malignant monoclonal gammopathy of undetermined significance (MGUS) and MM with a ~4-year younger age of onset among African Americans (AA) compared to European Americans (EAs) (Fonseca, Leukemia, 2017). With equal access to care, AAs have better overall survival compared to EAs (Waxman, Blood, 2010). This disparity may be explained by ancestral-associated genetic predisposition of AAs to development of monoclonal gammopathies and to specific acquired, cytogenetically-defined subtypes. Using calculated genetic ancestry data, we have previously identified a higher prevalence of IgH translocations t(11;14), t(14;16) and t(14;20) in individuals with >80% African ancestry (Baughn, BCJ, 2018). Since SNP rs9344 encoding the CCND1 870G>A polymorphism has been reported in association with increased risk of t(11;14) (Weinhold, Nature Genetics, 2013), we investigated whether rs9344 correlates with African ancestry and with t(11;14) in our cohort of patients with plasma cell dyscrasias. Methods: We studied 898 patients with monoclonal gammopathies who had undergone uniform testing to identify MM-specific cytogenetic abnormalities. DNA from bone marrow samples was genotyped on the Precision Medicine Research Array and biogeographical ancestry was assessed using the Geographic Population Structure Origins tool (Elhaik, Nat Commun, 2014). Plasma cell proliferative disorder FISH of immunoglobulin (cIg)-stained positive plasma cells was performed as described (Baughn, BCJ, 2018). Individuals were divided into three ancestral groups: 1. EAs (<0.1% African ancestry and <30% Asian ancestry); 2. AAs (> 80% African ancestry); and 3. Other. Chi-squared test was used to determine the overall comparison between the 3 ancestral groups and also between ancestral groups 1 vs 2, and 2 vs 3 using pairwise comparison. All tests were two-sided with alpha level set at 0.05 for overall statistical significance. Pairwise comparison was considered statistically significant when p<0.025 based on Bonferroni method for multiple comparisons. Results: We identify increased risk of development of either a t(11;14), t(14;16) or t(14;20) in AAs (48.8%) compared to EAs (33.6%) (p-value=0.0051). To explore the genetic basis of increased t(11;14) specifically (37.4% AAs vs. 27.3% p-value=0.049), we evaluated the frequency of the G risk allele of rs9344 in relation to African ancestry. The frequency of the G risk allele was higher in AAs (0.81) compared to EAs (0.59) (p-value <0.0001) and also higher in t(11;14) cases (0.73) compared to non-t(11;14) controls (0.58) (p-value <0.0001). A multivariate model identified only rs9344 as significantly associated with t(11;14) after adjusting for age, gender and race group suggesting that it plays a role in the development of t(11;14) (p-value <0.001 for GG, p-value=0.005 for AG). To test if these results are replicable, we studied the MMRF CoMMpass cohort. This cohort includes individuals with newly diagnosed MM along with self-report race information and translocation data from long insert whole genome sequencing. Although t(11;14) was not enriched in self-reported Black individuals from this cohort (17.5% Black vs. 20.4% White, p-value=0.47), there was association between the rs9344 and self-reported Black race (p-value <0.0001) and with the presence of t(11;14) when the t(11;14) was analyzed by long insert whole genome sequencing (p-value=0.0001). Conclusions: To our knowledge, this study includes the largest group of African individuals with an abnormal plasma cell clone along with uniformly collected FISH, genotyping and ancestry data. We have identified in this diverse population the association of the CCND1 870G>A polymorphism (rs9344) with African ancestry and with t(11;14) suggesting that it plays a role in the development of t(11;14) plasma cell dyscrasias. Disclosures Elhaik: DNA Diagnostics Center: Consultancy. Baird:DNA Diagnostics Center: Employment. Cerhan:Janssen: Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; NanoString: Research Funding. Bergsagel:Celgene: Consultancy; Ionis Pharmaceuticals: Consultancy; Janssen Pharmaceuticals: Consultancy. Dispenzieri:Alnylam: Research Funding; Akcea: Consultancy; Intellia: Consultancy; Janssen: Consultancy; Pfizer: Research Funding; Takeda: Research Funding; Celgene: Research Funding. Kumar:Janssen: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Takeda: Research Funding.

Applications in early-phase cancer trials have motivated the development of many statistical designs since the late 1980s, including dose-finding methods, futility screening, treatment selection, and early stopping rules. These methods are often proposed to address the conventional cytotoxic therapeutics for neoplastic diseases and cancer. Recent advances in precision medicine have motivated novel trial designs, most notably the idea of master protocol (eg, platform trial, basket trial, umbrella trial, N-of-1 trial), for the evaluation of molecularly targeted cancer therapies. In this article, we review the concepts and methodology of early-phase cancer trial designs with a focus on dose finding and treatment screening and put these methods in the context of platform trials of molecularly targeted cancer therapies. Because most cancer trial designs have been developed for cytotoxic agents, we will discuss how these time-tested design principles hold relevance for targeted cancer therapies, and we will delineate how a master protocol may serve as an efficient platform for safety and efficacy evaluations of novel targeted therapies.

Recent advances in biotechnology and cancer genomics have afforded enormous opportunities for development of more effective anticancer therapies. A key thrust of this modern drug development paradigm is successful identification of predictive biomarkers that can distinguish patients who might be sensitive to new targeted therapies. To respond to this challenge, a number of phase III cancer trial designs integrating biomarker-based objectives have been proposed and implemented in oncology drug development. In this article, we provide an updated review of commonly used biomarker-based randomized clinical trial designs, with a particular focus on design efficiency. When the efficacy of a new therapy may be limited to a biomarker-defined subgroup, the choice of an appropriate randomized clinical trial design should be guided by the strength of the biomarker’s credentials. If compelling evidence indicates that a targeted therapy is beneficial only in a particular biomarker-defined subgroup, an enrichment design should be used. If there is strong evidence that the treatment is likely to be more beneficial in the biomarker-positive patients but a meaningful benefit is also possible in the biomarker-negative patients, then a properly powered biomarker-stratified design (eg, a subgroup-specific or Marker Sequential Test strategy) would provide the most rigorous determination of the sensitive populations. If the evidence supporting the predictive value of the biomarker is weak and the treatment is expected to work in the overall population, then a fallback design could be used. Careful selection of an appropriate phase III design strategy that integrates evaluation of a new anticancer therapy and its companion diagnostic is critical to the success of precision medicine in oncology.

Abstract Monoclonal gammopathies, including multiple myeloma (MM), represent a group of plasma cell (PC) disorders that comprise of mostly incurable hematopoietic malignancies with an increasing incidence in the US. Previous epidemiological studies demonstrated a 2-3 fold higher incidence of monoclonal gammopathy of undetermined significance (MGUS) and a similarly higher incidence of MM along with a ~4-year younger age of onset among African Americans (AA) compared to European Americans (EAs) (Fonseca, Leukemia, 2017). This suggests a possible ancestral-associated genetic predisposition of AAs to the development of monoclonal gammopathies (Landgren, Blood, 2006). When access to care is equal, AAs have a better overall survival compared to EAs suggesting that AAs may have a genetic predisposition that renders them better responders to treatment or have more favorable cytogenetic subtypes of MM (Waxman, Blood, 2010). Previous efforts to understand this disparity have relied on self-reported race rather than genetic ancestry. We hypothesize that quantifying genetic ancestry is necessary to fully understand the genetic mechanisms of racial disparities of monoclonal gammopathies. We describe our study of 881 patients with monoclonal gammopathies who had undergone uniform testing to identify MM-specific cytogenetic abnormalities. DNA from the bone marrow samples was genotyped on the Precision Medicine Research Array. Biogeographical ancestry was assessed using the Geographic Population Structure Origins tool, which provides the ancestral breakdown of 36 admixture components for each individual representing different geographic regions and outputs admixture proportions corresponding to those ancestries (Elhaik, Nat Commun, 2014). We evaluated whether an increase in the percentage of African Ancestry altered the odds of any primary cytogenetic abnormality. We demonstrated that a 10% increase in the percentage of African ancestry was associated with a 6% increase in the odds of detecting either an t(11;14), t(14;16) or t(14;20) (odds ratio = 1.06, 95% CI: 1.02 - 1.11; p-value = 0.05). Although we observed an increase in the odds of each of the individual translocations with 10% increase in African ancestry, l t(11;14) (OR=1.03) t(14;16) (OR=1.11) and t(14;20) (OR=1.10), these three abnormalities were combined to achieve greater statistical power. The differences in cytogenetic abnormalities were most striking among individuals with ≥80.0% African (n=120) compared to individuals with <0.1% African ancestry (n=235). Using these cutoff values comparing the ≥80.0% and <0.1% African ancestry cohorts, there was a higher prevalence of t(11;14), t(14;16) and t(14;20) (51% vs. 33%, respectively, p-value=0.008) and a lower prevalence of trisomies (with or without IgH translocations) (48.3% vs. 61.3%, respectively, p-value=0.066). In addition, the ≥80% African ancestry cohort also displayed a slightly lower prevalence of monosomy 13/13q deletion compared to the cohort with <0.1% African ancestry (34.2% vs. 38.7%, respectively, p-value=0.021). Further, we observed a significantly higher prevalence in the proportion of females with monoclonal gammopathies among the ≥80% African ancestry cohort compared to the cohort with <0.1% African ancestry (56.7% vs. 42.1%, respectively, p-value=0.028). We complement our past studies that relied on self-reported race and characterized patients' demographic and uniformly collected cytogenetic data in relation to genetically defined African ancestry. We demonstrate the prevalence of having one of three specific subtypes (i.e., t(11;14), t(14;16), or t(14;20)) was significantly higher in those with highest (≥80%) compared to lowest (<0.1%) African ancestry demonstrating African ancestry is associated with a subtype distribution of MM that differs from non-African individuals. These differences were only revealed after analysis of individuals with the highest and lowest percentage of African ancestry. Since 38.3% of the individuals with ≥80% African ancestry have the favorable t(11;14) translocation (in comparison to 26.8% of <0.1% African individuals), this finding may explain improved survival with equal access to care. Understanding the genetic mechanisms of this disparity is a fundamental step to understanding differences in incidence and outcomes of patients with monoclonal gammopathies. Disclosures Elhaik: DNA Diagnostics Center: Consultancy. Baird:DNA Diagnostics Center: Employment. Cerhan:Jannsen: Other: Scientific Advisory Board; Nanostring: Research Funding; Celgene: Research Funding. Stewart:Amgen Inc., BMS, Celgene, Takeda, Roche, Seattle Genetics, Janssen, Ono: Consultancy; Amgen Inc., Celgene, Roche, Seattle Genetics: Research Funding. Dispenzieri:Celgene, Takeda, Prothena, Jannsen, Pfizer, Alnylam, GSK: Research Funding. Kumar:Novartis: Research Funding; KITE: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; KITE: Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Research Funding.

PURPOSE Older women with breast cancer remain under-represented in clinical trials. The Cancer and Leukemia Group B 49907 trial focused on women age 65 years and older. We previously reported the primary analysis after a median follow-up of 2.4 years. Standard adjuvant chemotherapy showed significant improvements in recurrence-free survival (RFS) and overall survival compared with capecitabine. We now update results at a median follow-up of 11.4 years. PATIENTS AND METHODS Patients age 65 years or older with early breast cancer were randomly assigned to either standard adjuvant chemotherapy (physician’s choice of either cyclophosphamide, methotrexate, and fluorouracil or cyclophosphamide and doxorubicin) or capecitabine. An adaptive Bayesian design was used to determine sample size and test noninferiority of capecitabine. The primary end point was RFS. RESULTS The design stopped accrual with 633 patients at its first sample size assessment. RFS remains significantly longer for patients treated with standard chemotherapy. At 10 years, in patients treated with standard chemotherapy versus capecitabine, the RFS rates were 56% and 50%, respectively (hazard ratio [HR], 0.80; P = .03); breast cancer–specific survival rates were 88% and 82%, respectively (HR, 0.62; P = .03); and overall survival rates were 62% and 56%, respectively (HR, 0.84; P = .16). With longer follow-up, standard chemotherapy remains superior to capecitabine among hormone receptor–negative patients (HR, 0.66; P = .02), but not among hormone receptor–positive patients (HR, 0.89; P = .43). Overall, 43.9% of patients have died (13.1% from breast cancer, 16.4% from causes other than breast cancer, and 14.1% from unknown causes). Second nonbreast cancers occurred in 14.1% of patients. CONCLUSION With longer follow-up, RFS remains superior for standard adjuvant chemotherapy versus capecitabine, especially in patients with hormone receptor–negative disease. Competing risks in this older population dilute overall survival benefits.

BackgroundThis multicenter, randomized phase 2 trial evaluated complete responses (CRs), efficacy, and safety with ofatumumab and bendamustine and with ofatumumab, bendamustine, and bortezomib in patients with untreated, high‐risk follicular lymphoma (FL).MethodsPatients with grade 1 to 3a FL and either a Follicular Lymphoma International Prognostic Index (FLIPI) score of 2 with 1 lymph node >6 cm or an FLIPI score of 3 to 5 were randomized to arm A (ofatumumab, bendamustine, and maintenance ofatumumab) or to arm B (ofatumumab, bendamustine, bortezomib, and maintenance ofatumumab and bortezomib).ResultsOne hundred twenty‐eight patients (66 in arm A and 62 in arm B) received treatment. The median age was 61 years, and 61% had disease >6 cm; 29% had an FLIPI score of 2, and 71% had an FLIPI score of 3 to 5. In arm A, 86% completed induction, and 64% completed maintenance. In arm B, 66% and 52% completed induction and maintenance, respectively. Dose modifications were required in 65% and 89% in arms A and B, respectively. Clinically significant grade 3 to 4 toxicities included neutropenia (A, 36%; B, 31%), nausea/vomiting (A, 0%; B, 8%), diarrhea (A, 5%; B, 11%), and sensory neuropathy (A, 0%; B, 5%). The estimated CR rates were 62% (95% confidence interval [CI], 50%‐74%) and 60% (95% CI, 47%‐72%) in arms A and B, respectively (P = .68). With a median follow‐up of 3.3 years, the estimated 2‐year progression‐free survival (PFS) and overall survival (OS) rates were 80% and 97%, respectively, for arm A and 76% and 91%, respectively, for arm B.ConclusionsThe CR rates, PFS, and OS were not improved with the addition of bortezomib to ofatumumab and bendamustine in patients with high‐risk FL. Although grade 3 to 4 toxicities were similar, more patients treated with bortezomib required dose modifications and early discontinuation.