Citations

Background:Venetoclax (Ven) is a highly selective, potent, oral BCL‐2 inhibitor that induces apoptosis in malignant cells dependent on BCL‐2 for survival. Proteasome inhibitors (PIs) and dexamethasone (d) were shown to increase BCL‐2 dependence in multiple myeloma (MM) cells, and preclinical studies showed enhanced inhibition of MM tumor growth with Ven+PI compared to either alone. Moreover, d has been shown to indirectly promote BCL‐2 dependency in MM cells. Clinical trials have since demonstrated efficacy of Ven in combination with the PI bortezomib in patients (pts) with relapsed/refractory MM (RRMM).Aims:We report interim data for Ven combined with second‐generation PI carfilzomib (K) and d in pts with RRMM.Methods:In this ongoing Phase 2 study (NCT02899052), pts with RRMM (1–3 prior lines of therapy) and no prior K exposure received VenKd on 28‐day cycles in 4 dose‐finding and 1 expansion cohort: Ven 400 mg/day + K 27 mg/m2 Day 1, 2, 8, 9, 15, 16 + d 40 mg Day 1, 8, 15, 22 (Cohort 1); same regimen but with Ven 800 mg/day (Cohort 2); Ven 800 mg/day + K 70 mg/m2 Day 1, 8, 15 + d 40 mg Day 1, 8, 15, 22 (Cohort 3/expansion cohort); or Ven 800 mg + K 56 mg/m2 Day 1, 2, 8, 9, 15, 16 + d 40 mg Day 1, 2, 8, 9, 15, 16, 22, 23 (Cohort 4). Treatment continued until progressive disease or unacceptable toxicity.Results:As of the clinical data cut‐off of 1 Feb 2019, 43 pts were enrolled. Median age was 67 (range, 37–79), 26 (62%) pts had ISS II/III disease, and 8 (19%) were t (11;14)+. Median number of prior lines of therapy was 2 (range, 1–3). Forty (93%) pts received prior PI (49% refractory), 33 (77%) received prior immunomodulatory drug (IMiD, 61% refractory), and 33 (77%) received prior PI+IMiD (33% double refractory).All pts had at least 1 adverse event (AE). The most common AEs of any grade were diarrhea (65%), nausea (49%), fatigue (47%), cough (35%), insomnia, dyspnea, vomiting, upper respiratory infection (33% each), lymphopenia (28%), thrombocytopenia, and dyspepsia (26% each). Thirty‐six (84%) pts had a Grade 3/4 AE, the most common being lymphopenia (23%), pneumonia, hypertension (16% each), and hypophosphatemia (12%).The overall response rate (ORR) was 79%, complete response or better (≥CR) rate was 40%, and very good partial response or better (≥VGPR) rate was 64% for all pts (Table). Median follow‐up for 42 pts was 10.4 months (95% CI = 8.0–13.8); 15 pts had progression‐free survival (PFS) events, with median PFS yet to be achieved. Baseline bone marrow core biopsy samples from 25 pts were evaluated for BCL‐2 expression by immunohistochemistry, with high expression (≥50% of tumor cells with moderate or higher cytoplasmic staining) seen in 23 (92%) samples. Pts with high BCL‐2 expression had response rates similar to the overall study population. Other correlative biomarker analyses are ongoing.Summary/Conclusion:The combination of VenKd was found to be tolerable with no new safety signals. VenKd demonstrates promising efficacy in pts with RRMM. The study remains ongoing with an additional 60 pts with RRMM enrolling to assess efficacy and safety in a larger group of pts with similar eligibility (Cohort 6) and t (11;14)+ pts (Cohort 7).image

Background:The treatment paradigm for multiple myeloma (MM) has evolved rapidly following new drug approvals and combinations. These improvements have the potential to improve outcomes for patients, but only if specialists in hematology/oncology (hem/oncs) have up‐to‐date knowledge on selection of treatments, prevention and management of adverse events (AEs), and comfort with emerging clinical trial data.Aims:We sought to determine if a curriculum of online continuing medical education (CME) activities could improve hem/onc knowledge and competence in treating patients with MM.MethodsThis analysis included hem/onc data from a MM curriculum spanning over 4 years, with 54 activities. For each year of the curriculum, an expert panel identified knowledge/competence gaps to be addressed through CME. Within the analysis, assessment questions were grouped into learning topics and the average for pre and post‐education was calculated for 2016‐2018 of the curriculum for each topic. The analysis elucidated the impact of the curriculum on narrowing gaps in knowledge/competence using a pre/post design. Statistical significance was assessed using a chi‐square statistic (P < .05 level).Results:As of December 2018, the curriculum had reached 33,699 US hem/onc learners and 2144 participated in the outcomes assessment. Treatment Selection: The curriculum significantly improved hem/onc knowledge/competence over time for selecting treatment for patients with relapsed/refractory (R/R) MM (pre/post: 2016, 41%/51%, P < .001; 2018, 48%/64%, P < .001). Managing AEs: The curriculum led to sustained knowledge gains for hem/oncs over time related to managing treatment‐related AEs in patients with MM (pre/post: 2016, 39%/53%, P < .001; 2018, 80%/84%, P = .427). Knowledge of Clinical Trial Data: Activities within the curriculum also significantly improved hem/onc knowledge of clinical trial data for consolidation and maintenance therapy (pre/post: 2016, 63%/76%, P < .001; 2017, 68%/74%, P < .05; 2018, 62%/76%, P < .001). Potential Patient Impact: The reach of Medscape Oncology CME has a large impact on how US hem/oncs treat patients with MM. Of all hem/onc specialists with MM diagnostic encounters, 64% are members of Medscape. Additionally, 70% of all high decile (deciles 7‐10) hem/onc specialists with MM diagnostic encounters are members of Medscape. Based on the number of learners for the curriculum and the average number of patient encounters, this education has the potential to impact 33,894 MM patient encounters.[IQVIA Data]Summary/Conclusion:This analysis shows that online CME, as part of a sustained educational curriculum, using various formats (video, text, panel discussion, case‐based) can significantly improve the knowledge and competence of hem/oncs in multiple areas related to MM. Statistically significant gains in knowledge and competence selecting treatment for R/R MM were seen even with the introduction of new clinical evidence in this area. The analysis also shows the potential impact on patients and the large reach that is achievable with online education. As new therapies and combinations of treatments continue to change practice, additional education is needed to aid hem/oncs in staying abreast of new data, managing AEs, and tailoring therapy selection for individual patients with MM.

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]

Abstract Background: Pancreatic cancer is the fourth-leading cause of cancer death in both men and women in the United States. The currently identified common susceptibility loci account for a small fraction of estimated heritability. We sought to estimate overall heritability of pancreatic cancer and partition the heritability by variant frequencies and functional annotations. Methods: Analysis using the genome-based restricted maximum likelihood method (GREML) was conducted on Pancreatic Cancer Case-Control Consortium (PanC4) genome-wide association study (GWAS) data from 3,568 pancreatic cancer cases and 3,363 controls of European Ancestry. Results: Applying linkage disequilibrium- and minor allele frequency-stratified GREML (GREML-LDMS) method to imputed GWAS data, we estimated the overall heritability of pancreatic cancer to be 21.2% (SE = 4.8%). Across the functional groups (intronic, intergenic, coding, and regulatory variants), intronic variants account for most of the estimated heritability (12.4%). Previously identified GWAS loci explained 4.1% of the total phenotypic variation of pancreatic cancer. Mutations in hereditary pancreatic cancer susceptibility genes are present in 4% to 10% of patients with pancreatic cancer, yet our GREML-LDMS results suggested these regions explain only 0.4% of total phenotypic variance for pancreatic cancer. Conclusions: Although higher than previous studies, our estimated 21.2% overall heritability may still be downwardly biased due to the inherent limitation that the contribution of rare variants in genes with a substantive overall impact on disease are not captured when applying these commonly used methods to imputed GWAS data. Impact: Our work demonstrated the importance of rare and common variants in pancreatic cancer risk.

Abstract Background Less than 3% of older patients with cancer are enrolled in clinical trials. To reverse this underrepresentation, we compared older patients enrolled with older-patient-specific trials, defined as those designed for older patients with cancer, with those enrolled in age-unspecified trials. Materials and Methods We focused on individual patient data from those ≥65 years (younger patients excluded) and included all Alliance phase III adjuvant breast cancer trials from 1985–2012. Results Among 2,277 patients, 1,014 had been enrolled to older-patient-specific and 1,263 to age-unspecified trials. The median age (range) in the older-patient-specific trials was 72 (65–89) years compared with 68 (65–84) years in the cohort of older patients in age-unspecified trials; p &lt; .0001. A greater percentage of patients 75 years or older had enrolled in older-patient-specific trials compared with the cohort of age-unspecified trials: 26% versus 6% (p &lt; .0001). Median overall survival (OS) was 12.8 years (95% confidence interval [CI], 11.9–13.7) and 13.5 years (95% CI, 12.9–14.1) for older-patient-specific and age-unspecified trials, respectively. OS was comparable (hazard ratio [HR], 1.08; 95% CI, 0.92–1.28; p = .34; referent: age-unspecified trials), after adjusting for age, estrogen receptor status, tumor size, and lymph node status. Similar findings were reached for recurrence-free survival. A lower rate of grade 3–5 adverse events (hematologic and nonhematologic) was reported in older-patient-specific trials (43% vs. 58%; p &lt; .0001). Sensitivity analysis with chemotherapy only trials and subset analysis, adjusted for performance score, yielded similar OS results. Conclusion Older-patient-specific trials appear to address this underrepresentation of older patients with ostensibly comparable outcomes. Clinical trial identification numbers. NCT00003088 (CALGB 9741); NCT00024102 (CALGB 49907); NCT00068601 (CALGB 40401); NCT00005970 (NCCTG N9831)

AbstractBackground and aimsCell‐based therapies for liver disease such as bioartificial liver rely on a large quantity and high quality of hepatocytes. Cold storage was previously shown to be a better way to preserve the viability and functionality of hepatocytes during transportation rather than freezing, but this was only proved at a lower density of rat hepatocytes spheroids. The purpose of this study was to optimize conditions for cold storage of high density of primary porcine hepatocyte spheroids.MethodsPorcine hepatocytes were isolated by a three‐step perfusion method; hepatocyte spheroids were formed by a 24 hours rocked culture technique. Hepatocyte cell density was 5 × 106/mL in 1000 mL spheroid forming medium. Spheroids were then maintained in rocked culture at 37°C (control condition) or cold stored at 4°C for 24, 48 or 72 hours in four different cold storage solutions: histidine‐tryptophan‐ketoglutarate (HTK) alone; HTK + 1 mM deferoxamine (DEF); HTK + 5 mM N‐acetyl‐L‐cysteine (NAC); and HTK + 1 mM DEF + 5 mM NAC. The viability, ammonia clearance, albumin production, gene expression, and functional activity of cytochrome P450 enzymes were measured after recovery from the cold storage.ResultsIn this study, we observed that cold‐induced injury was reduced by the addition of the iron chelator. Viability of HTK + DEF group hepatocyte spheroids was increased compared with other cold storage groups (P < 0.05). Performance metrics of porcine hepatocyte spheroids cold stored for 24 hours were similar to those in control conditions. The hepatocyte spheroids in control conditions started to lose their ability to clear ammonia while production of albumin was still active at 48 and 72 hours (P < 0.05). In contrast, the viability and functionality of hepatocyte spheroids including ammonia clearance and albumin secretion were preserved in HTK + DEF group at both 48‐ and 72‐hour time points (P < 0.05).ConclusionsThe beneficial effects of HTK supplemented with DEF were more obvious after cold storage of high density of porcine hepatocyte spheroids for 72 hours. The porcine hepatocyte spheroids were above the cutoff criteria for use in a spheroid‐based bioartificial liver.

AbstractBackground:Germline DNA copy number variation (CNV) is a ubiquitous source of genetic variation and remains largely unexplored in association with epithelial ovarian cancer (EOC) risk.Methods:CNV was quantified in the DNA of approximately 3,500 cases and controls genotyped with the Illumina 610k and HumanOmni2.5M arrays. We performed a genome-wide association study of common (&gt;1%) CNV regions (CNVRs) with EOC and high-grade serous (HGSOC) risk and, using The Cancer Genome Atlas (TCGA), performed in silico analyses of tumor-gene expression.Results:Three CNVRs were associated (P &lt; 0.01) with EOC risk: two large (∼100 kb) regions within the 610k set and one small (&lt;5 kb) region with the higher resolution 2.5M data. Large CNVRs included a duplication at LILRA6 (OR = 2.57; P = 0.001) and a deletion at CYP2A7 (OR = 1.90; P = 0.007) that were strongly associated with HGSOC risk (OR = 3.02; P = 8.98 × 10−5). Somatic CYP2A7 alterations correlated with EGLN2 expression in tumors (P = 2.94 × 10−47). An intronic ERBB4/HER4 deletion was associated with reduced EOC risk (OR = 0.33; P = 9.5 × 10−2), and somatic deletions correlated with ERBB4 downregulation (P = 7.05 × 10−5). Five CNVRs were associated with HGSOC, including two reduced-risk deletions: one at 1p36.33 (OR = 0.28; P = 0.001) that correlated with lower CDKIIA expression in TCGA tumors (P = 2.7 × 10−7), and another at 8p21.2 (OR = 0.52; P = 0.002) that was present somatically where it correlated with lower GNRH1 expression (P = 5.9 × 10−5).Conclusions:Though CNV appears to not contribute largely to EOC susceptibility, a number of low-to-common frequency variants may influence the risk of EOC and tumor-gene expression.Impact:Further research on CNV and EOC susceptibility is warranted, particularly with CNVs estimated from high-density arrays.