Lafky, Jacqueline M.

AbstractBackgroundIdentifying patient‐ and disease‐specific characteristics associated with clinical trial enrollment of adolescents and young adults (AYAs) with cancer may target efforts to improve accrual.MethodsAlliance for Clinical Trials in Oncology (Alliance) trials opened from January 1, 2000, and closed before January 1, 2018, for common AYA cancers were identified. Proportions of AYAs (aged 18–39 years old) versus non‐AYAs (aged ≥40 years old) enrolled by cancer type were summarized by descriptive statistics. Among studies with ≥20 AYAs enrolled, demographic and disease characteristics of AYAs versus non‐AYAs were compared with χ2 and Kruskal–Wallis tests. A qualitative review was also conducted of therapeutic trials included in analysis in PubMed through December 31, 2021, that reported AYA‐specific survival.ResultsAmong 188 trials enrolling 40,396 patients, AYAs represented 11% (4468 of 40,396) of accrual. AYA accrual varied by cancer type (leukemia, 23.6%; breast, 9.9%; lymphoma, 14.8%; colorectal, 6.2%; central nervous system, 8.1%; melanoma, 11.8%; sarcoma, 12%). Across ages, the proportion of Black and Hispanic patients enrolled was 1%–10%. Compared to non‐AYAs, AYAs in breast and colorectal cancer trials were less likely to be White and more likely to be Hispanic. Disease characteristics differed by age for selected trials. Two trials reported AYA‐specific survival, with no significant differences observed by age.ConclusionsAYA accrual to Alliance trials was comparable to or exceeded population‐based, age‐specific prevalence estimates for most cancer types. Greater proportional representation of Hispanic and non‐White patients among AYAs reflects US demographic trends. The small number of minority patients enrolled across ages underscores the persistent challenge of ensuring equitable access to trials, including for AYAs.

PURPOSE New technology might pose problems for older patients with cancer. This study sought to understand how a trial in older patients with cancer (Alliance A171603) was successful in capturing electronic patient-reported data. METHODS Study personnel were invited via e-mail to participate in semistructured phone interviews, which were audio-recorded and qualitatively analyzed. RESULTS Twenty-four study personnel from the 10 sites were interviewed; three themes emerged. The first was that successful patient-reported electronic data capture shifted work toward patients and toward study personnel at the beginning of the study. One interviewee explained, “I mean it kind of lost all advantages…by being extremely laborious.” Study personnel described how they ensured electronic devices were charged, wireless internet access was up and running, and login codes were available. The second theme was related to the first and dealt with data filtering. Study personnel described high involvement in data gathering; for example, one interviewee described, “I answered on the iPad, whatever they said. They didn't even want to use it at all.” A third theme dealt with advantages of electronic data entry, such as prompt data availability at study completion. Surprisingly, some remarks described how electronic devices brought people together, “Some of the patients, you know, it just gave them a chance to kinda talk about, you know, what was going on.” CONCLUSION High rates of capture of patient-reported electronic data were viewed favorably but occurred in exchange for increased effort from patients and study personnel and in exchange for data that were not always patient-reported in the strictest sense.

PURPOSE This study determined whether an electronic version of the geriatric assessment is feasible in a multi-institutional, diverse setting. METHODs Ten sites within the Alliance for Clinical Trials in Oncology participated. Patients who had active cancer or a history of cancer and were 65 years of age or older were eligible. The geriatric assessment was completed with an electronic data capture system that had been loaded onto iPads. Feasibility was defined a priori as completion in at least 70% of patients either with or without help. To enhance racial diversity, the original sample size was later changed and augmented by 50% with the intention of increasing enrollment of older minority patients. RESULTS A total of one hundred fifty-four patients were registered with a median age of 72 years (range, 65-91 years). Forty-three (28%) identified themselves as African American or Black. One hundred forty-one patients (92%) completed the electronic geriatric assessment. Feasibility was observed across all subgroups, regardless of race, education, performance status, comorbidities, and cognition; 124 patients (81%) completed the geriatric assessment without help. Reasons for not completing the geriatric assessment are as follows: clinic visit did not occur (n = 6), no iPad connection to the Internet (n = 3), patient declined (n = 2), prolonged hospitalization (n = 1), and patient died (n = 1). Reasons for needing help, as reported by study personnel, were as follows: the patient preferred that research personnel ask the questions (n = 9), vision problem (n = 3), lack of comfort with the iPad (n = 2), questions were not clear (n = 1), less proficient in English (n = 1), and challenge in pressing the green button to go to the next question (n = 1). CONCLUSION The electronic geriatric assessment is feasible in a multi-institutional setting that includes a notable proportion of African American or Black patients.

539 Background: An increased baseline sHER-2 concentration is an indicator of poor prognosis in the metastatic and adjuvant settings of HER-2+BC. This study evaluated the levels of sHER-2 during treatment and at time of recurrence in N9831. Methods: Aims were to describe sHER-2 levels during treatment and at time of recurrence in patients (pts) randomized to Arms A (standard chemotherapy) and C (standard chemotherapy with concurrent trastuzumab). Baseline serum samples of 1506 pts from both arms along with 86 recurrence serum samples were analyzed for sHER-2 (ng/mL). In addition, 556 serial samples were obtained in 148 patients over the treatment period. Median follow up was 4.5 years. Statistical methods included repeated measures linear models, Wilcoxon rank sum tests, and Cox regression models. Results: Analyzing serial sHER-2 levels during treatment, mean log sHER-2 remained constant in Arm C (estimated slope = 0.004, p = 0.44) while the estimated increase per month was 0.026 (on log e scale) for Arm A (p = 0.0003). Based on the linear model at 18 months, the mean log sHER-2 was 2.98 (95% CI: 2.87–3.09) and 2.55 (95% CI: 2.40–2.70) for Arms A and C, respectively. Among pts with disease recurrence, sHER-2 levels increased in Arm A from baseline to time of recurrence (mean = 72.9, median = 1.7, p =0.005) while sHER-2 levels remained unchanged in Arm C (mean = 9.2, median = -0.9, p = 0.65). While all 86 recurrence patients had baseline sHER2 levels <50, 24% (15/63) of Arm A patients had very high recurrence sHER-2 levels (≥50) as compared to 9% (2/23) on Arm C (p=0.10). Patients with recurrence sHER-2 levels ≥15 had shorter survival time following recurrence with 3 year overall survival of 51% compared to 76% for the <15 sHER-2 group (HR = 2.77; 95% CI: 1.20–6.43, p = 0.02). Conclusions: Based on serial specimens during treatment, the concurrent trastuzumab arm (C) had constant sHER-2 levels, whereas the standard chemotherapy arm (A) had increasing sHER-2 levels. In arm A, recurrence sHER-2 levels increased significantly from baseline while recurrence sHER-2 levels did not change in arm C. Additionally, pts with high sHER-2 levels at recurrence had shorter overall survival following recurrence. Partial support: CA25224, CA114740 , Genentech, Siemens, and the BCRF. [Table: see text]

e24115 Background: Paclitaxel, a widely used chemotherapeutic agent, is associated with an acute pain syndrome (P-APS) and chronic chemotherapy-induced peripheral neuropathy (CIPN). Currently, there is no standard of care for P-APS. Commonly used analgesics, including NSAIDs and narcotics, have considerable toxicity profiles. Omega-3 fatty acids, a common dietary supplement, have well established anti-inflammatory and neuroprotective properties. The primary aim of the study was to assess if omega 3 fatty acids could prevent P-APS. Methods: Patients scheduled to receive weekly paclitaxel (70-90mg/m2) were randomized to receive 4 g of omega-3 acid ethyl esters (Lovaza) or placebo, beginning 1 week prior to starting paclitaxel and continued until paclitaxel was discontinued. Patients completed acute pain questionnaires at baseline, Days 2-7, prior to each subsequent treatment and one month after completion of therapy. The EORTC- QLQ CIPN 20 questionnaire was completed prior to each dose of paclitaxel and 1 month after completion. The primary objective was to compare the effect of omega 3 fatty acids, versus placebo, on the maximum pain score for the week following the 1st treatment and each subsequent paclitaxel treatment, and to compare pain medication use between the 2 arms. The secondary objective was to compare the effect of the intervention on the severity of CIPN. Results: 49 patients were randomized to treatment versus placebo. Linear mixed effects models were applied with the addition of a bootstrap approach to overcome limitations in the distributional assumptions to compare outcomes between treatment groups. Placebo results were similar to the reported natural history of P-APS. There was no significant difference in trends over time between the 2 groups in the maximum pain score at week 1 (p = .14) and over 12 weeks (p = .21). There was also no difference noted in the rates of use of over the counter analgesics (p = .39) and narcotics (p = .46). CIPN results did not differ between the 2 groups (p = .08). Conclusions: The results of this pilot study do not support the use of omega-3 fatty acids for the prevention of paclitaxel-associated pain syndrome. Clinical trial information: NCT01821833 .

Background: Bevacizumab (BEV), a monoclonal antibody against vascular endothelial growth factor-A (VEGF-A), is a standard component of medical therapy of metastatic colorectal cancer (mCRC). Activation of alternative angiogenesis pathways has been implicated in resistance to BEV. This phase II study examines the activity of combined vertical blockade of VEGF signaling with sorafenib and BEV as salvage therapy in patients with progressive disease (PD) on all standard therapy in mCRC. Methods: mCRC patients with documented PD on standard therapy, received sorafenib (200 mg orally twice daily, days 1–5 and 8–12) and BEV (5 mg/kg intravenously, day 1) every 2 weeks. Primary endpoint was 3-month progression-free survival (PFS) rate and secondary endpoints were overall survival (OS), response rate (RR), safety, and feasibility. Results: Of the 83 patients enrolled, 79 were evaluable. Of these, 42 (53%) were progression-free at 3 months. Median PFS was 3.5 months and median OS was 8.3 months. One patient had a partial response and 50 patients (63.3%) had at least one stable tumor assessment. Of 79 evaluable patients, 54 (68%) experienced grade 3/4 adverse events (AEs) at least possibly related to treatment. Most frequent grade 3/4 AEs were: fatigue (24.1%), hypertension (16.5%), elevated lipase (8.9%), hand-foot skin reaction (8.9%), diarrhea (7.6%), and proteinuria (7.6%). Reasons for treatment discontinuation were PD (72%), AEs (18%), patient refusal (8%), physician decision (1%), and death (1%). Conclusions: The combination of BEV and sorafenib as salvage therapy in heavily pretreated mCRC patients is tolerable and manageable, with evidence of promising activity. ClinicalTrials.gov identifier: NCT00826540, URL: http://clinicaltrials.gov/ct2/show/NCT00826540

Abstract Introduction: The preferred post-remission therapy for older patients (pts) with AML remains uncertain. We compared outcomes for older AML pts in CR1 receiving HCT reported to the CIBMTR to older AML pts achieving CR1 on National Clinical Trials Network induction and non-HCT consolidation therapy (CT) trials. Methods: This study focused on pts 60-75 years of age treated between 2004 to 2013. CT pts (n=211) underwent induction and consolidation on Alliance for Clinical Trials in Oncology, ECOG-ACRIN or SWOG clinical trials for initial therapy for newly diagnosed AML; the CIBMTR provided data for HCT pts (n=431). CT patients received at least one cycle of CT on study and were excluded if HCT occurred at any time. Time to event started at CR1 and pts entered at CT or HCT, respectively, using left-truncation to account for differential entry times. Results: For the CT cohort, first consolidation included standard therapy (e.g., cytarabine or a hypomethylating agent) and additional study drug (e.g., bortezomib, dasatinib, sorafenib, and Zosuquidar, gemtuzumab) or tipifarnib alone. Among HCT pts, the donor was a HLA-matched sibling or unrelated donor (URD) in 66% and the others were partially HLA-matched/mismatched URD (10%) or cord blood (24%). HCT pts were younger and more frequently had high-risk AML (high WBC, secondary AML and unfavorable cytogenetics) (Table). The median time from CR1 to HCT and CT was 3.2 and 0.5 months, respectively. Allogeneic HCT showed worse overall survival (OS) (HR=1.52, p=0.02) prior to 9 months and better OS thereafter (HR= 0.53, p <0.0001) relative to CT (figure 1A). Treatment-related mortality (TRM) was worse after HCT in the first 9 months (HR=2.8, CI: 1.5 -5.2, p=.0009), while relapse was less frequent beyond 9 months after treatment (HR = 0.42, CI: 0.29 to 0.61, p<.0001). Despite higher early TRM, HCT recipients went on to manifest superior OS [5 year OS: HCT 29% (24-34%), CT 13.8% (9 -22%)] (Figure 1A). The benefit of HCT for survival after 9 months was more prominent in those with unfavorable cytogenetics (Figure 1B). Multivariate analysis for OS showed no statistically significant effect of age or performance status, while unfavorable cytogenetics were detrimental (HR=1.74, p<.0001). Conclusions. Allogeneic HCT led to heightened early risks from TRM, but resulted in superior long-term survival in older AML pts receiving HCT relative to CT by reducing relapse. Efforts to attenuate early TRM after allogeneic HCT may further improve HCT outcomes for older pts. Disclosures Ustun: novartis: Speakers Bureau. Attar:Agios: Employment, Equity Ownership. Larson:Pfizer: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; BristolMyers Squibb: Consultancy, Research Funding; Ariad/Takeda: Consultancy, Research Funding. Roboz:Roche/Genentech: Consultancy; Eisai: Consultancy; Cellectis: Research Funding; Aphivena Therapeutics: Consultancy; Sandoz: Consultancy; Janssen Pharmaceuticals: Consultancy; Otsuka: Consultancy; Jazz Pharmaceuticals: Consultancy; Sandoz: Consultancy; AbbVie: Consultancy; Celltrion: Consultancy; Cellectis: Research Funding; Eisai: Consultancy; Astex Pharmaceuticals: Consultancy; Argenx: Consultancy; Pfizer: Consultancy; Celgene Corporation: Consultancy; Novartis: Consultancy; Jazz Pharmaceuticals: Consultancy; Bayer: Consultancy; Bayer: Consultancy; Roche/Genentech: Consultancy; Orsenix: Consultancy; Astex Pharmaceuticals: Consultancy; Celgene Corporation: Consultancy; Daiichi Sankyo: Consultancy; Pfizer: Consultancy; Janssen Pharmaceuticals: Consultancy; Otsuka: Consultancy; Orsenix: Consultancy; Daiichi Sankyo: Consultancy; Celltrion: Consultancy; Novartis: Consultancy; Aphivena Therapeutics: Consultancy; Argenx: Consultancy; AbbVie: Consultancy. Uy:GlycoMimetics: Consultancy; Curis: Consultancy. Stone:Fujifilm: Consultancy; Ono: Consultancy; Orsenix: Consultancy; Otsuka: Consultancy; Agios: Consultancy, Research Funding; AbbVie: Consultancy; Argenx: Other: Data and Safety Monitoring Board; Celgene: Consultancy, Other: Data and Safety Monitoring Board, Steering Committee; Arog: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Jazz: Consultancy; Astellas: Consultancy; Merck: Consultancy; Pfizer: Consultancy; Sumitomo: Consultancy; Amgen: Consultancy; Cornerstone: Consultancy. Foran:Agios: Research Funding; Xencor, Inc.: Research Funding. Weisdorf:Seattle Genetics: Consultancy; Equillium: Consultancy; FATE: Consultancy; SL Behring: Consultancy; Pharmacyclics: Consultancy.

Abstract Background: Contemporary approaches to non-Hodgkin lymphoma (NHL) and chronic lymphocytic leukemia (CLL) incorporate chemo-immunotherapy, biologic combinations, and immune modulating agents; toxicities in elderly pts (³65 years) receiving these therapies are not well studied. Further, clinical and biologic factors predicting these toxicities in pts receiving biologic therapy remain undefined. Methods: We reviewed data on NHL and/or CLL pts treated prospectively on 14 studies by the Alliance for Clinical Trials in Oncology from 2004-2014 (Table 1). Toxicity was assessed per the NCI CTCAE at the time of trial enrollment, and the probabilities of experiencing grade 3 and grade 4 hematologic (hem) and non-hematologic (non-hem) toxicities were modeled as a function of age (³65 years vs. < 65), time on study, treatment (biologics only vs. biologic + chemotherapy), gender, race, LDH, performance status (PS), stage, and an age-by-treatment interaction using logistic regression. Results: A total of 1199 pts (409 age ³ 65; 790 age < 65; 736=CLL and 463=NHL) were included. Among these patients, 493 received only biologic therapy (166 age ³ 65; 327 age < 65; 104 CLL; 389 NHL), and 706 received biologic + chemotherapy (243 age ³ 65; 463 age < 65; 632 CLL; 74 NHL). Among CLL pts (259 pts ³ 65), the effect of age on the probability of experiencing a grade 3 heme toxicity differed by treatment type (age-by-treatment interaction p = 0.047). Specifically, the adjusted odds ratio (OR) (age ³ 65 vs. < 65) for pts receiving only biologic therapy was 3.075 (95% CI: 1,15-8.25), and that for pts receiving biologic + chemotherapy was 1.044 (95% CI: 0.69 - 1.57). Similar results were seen in CLL pts for grade 4 heme toxicities (age-by-treatment interaction p = 0.033; biologic OR 6.937, 95% CI: 1.76-27.35; biologic + chemo OR 1.484, 95% CI: 1.04-2.13). No such interactions were found in CLL pts for grade 3 and 4 non-hem toxicities; however, older pts had significantly higher odds of experiencing a grade 3 non-hem toxicity than younger pts (adjusted OR 1.40; p = 0.047; 95% CI: 1.004-1.96). No age group differences were found in CLL pts for grade 4 non-hem toxicity. Similar analyses were performed for NHL pts (150 pts ³ 65), but no significant age group differences were found. Among CLL pts, women had significantly higher odds of experiencing a grade 3 heme toxicity than men (OR 2.01; p = 0.0007); no difference in grade 3 non-hem or any grade 4 toxicity was noted. Non-Caucasian CLL pts had higher odds of experiencing a grade 4 non-hem toxicity than Caucasians (OR 2.892; p = 0.0029), but no other toxicity differences were found. Worse PS was associated with increased toxicities (OR 1.871; p = 0.0009: grade 3 heme; OR 1.647; p = 0.0025: grade 3 non-hem; OR 1.410; p = 0.0448: grade 4 heme, and OR 1.931; p = 0.0252: grade 4 non-hem). CLL pts with advanced stage disease had higher odds of experiencing a heme toxicity (grade 3: OR 1.95; p = 0.0007, grade 4: OR 1.451; p = 0.0329), but no stage associations were found for non-hem toxicities. Among NHL pts, men had significantly higher odds of experiencing a grade 4 hematologic toxicity than women (OR 4.351; p = 0.0169), but no other toxicity differences were found. An increase in LDH was associated with significantly higher odds of experiencing grade 3 non-hem and grade 4 heme toxicities (grade 3 non-heme: OR 1.633; p = 0.021, grade 4 heme: OR 2.039, p = 0.0182), but no such effect was found for grade 3 heme or grade 4 non-hem. Worse PS was associated with higher odds of experiencing grade 3 toxicities (heme: OR 2.025; p = 0.0344, non-hem: OR 2.458; p = 0.0013), but no such differences were found for grade 4 toxicities. No significant stage or race effects were found in NHL patients. Conclusion: In pts ³65 years who have CLL or NHL, we identified several clinical and disease-related factors as potential predictors of developing grade 3 and/or 4 heme and non-hem toxicities (Table 2). A prognostic model is being constructed to predict toxicities in these under-studied pts to guide management and monitoring. Further, the impact of these toxicities on outcomes is being analyzed and will be presented at the meeting. Disclosures Hurria: Celgene: Other: Research; Optum Health Care SOlutions: Consultancy, Other: Conference panel, research; Boehringer Ingelheim Pharmaceuticals: Consultancy; Sanofi: Consultancy; Carevive: Consultancy; Novartis: Other: Research; GTx, Inc: Consultancy. Bartlett:Gilead: Consultancy. Cheson:Gilead: Research Funding; Acerta: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees, Research Funding. Nabhan:Infinity: Consultancy; Abbvie: Consultancy; Cardinal Health: Consultancy; Seattle Genetics: Research Funding; Genentech: Consultancy, Research Funding; Astellas: Research Funding; Celgene Corporation: Consultancy, Research Funding.

e18132 Background: Older adults (65+ years) make up > 50% of cancer patients in the US,1 yet, older patient enrollment onto trials remains < 30%.2 This study’s aim was to determine the association between trial level variables and accrual rates of adults 65+ to better design trials that can more improve enrollment of these patients. Methods: We analyzed enrollment percentages of patients age 65+ in non-age specific Alliance trials with > 50 patients, that completed accrual between 1995- 2015. Enrollment percentage by 65+ for each study was compared to cancer incidence percentage by 65+ according to the Surveillance, Epidemiology, and End Results (SEER) Program for the same time periods. Enrollment Disparity Difference (EDD)3, defined as the difference between SEER incidence percentage of patients 65+ and the trial percentage enrollment of 65+ was calculated for each trial ( SEER % – trial %). Univariate analyses (UVA) were performed using simple linear regression to determine trial variables associated with larger EDDs (higher disparity). Variables that had an F-test p-value < 0.20 were included in a multivariable fixed-effects linear model for multivariate analysis (MVA). Results: Median age of 66,708 patients across 237 trials with 10 cancer types was 60 years. Average % of 65+ in trials was lower than average SEER comparison % 65+ per trial (37.6% vs. 57.8%). The median trial EDD, was 16.7%. On UVA, cancer type was significantly associated with higher EDD (see Table). Use of fewer modalities (1, 2, vs 3+) was associated with lower estimated EDDs (1 = -11 [+/-3.6], 2 = -8.9 [+/-3.9], F-test p = .012). On MVA, non-genitourinary (GU) cancer type, number of treatment modalities, and the phase (II or III compared to observational/other) were all significantly associated with higher EDD. Conclusions: Older adults were under-represented in this large sample of trials. This information can be used as a platform to better design disease-specific trials to improve older patient accrual, particularly in disease areas which are under-performing. Support: U10CA180821, U10CA180882, UG1CA189823: https://acknowledgments.alliancefound.org . References: 1. Smith BD et al. J Clin Oncol 27:2758-65, 2009; 2. Hurria A, et al. J Geriatr Oncol 1:40-44, 2010; 3. Pang HH, et al. J Clin Oncol, 2016.[Table: see text]