Citations

Multiple myeloma (MM) is a neoplasm thought to arise from a damaged germinal center B-cell that progresses to a plasma cell clone arising in bone marrow. MM comprises 20% of all hematologic cancer deaths. Persons of African ancestry (AA) have a 1.5 to 2-fold higher risk compared to individuals of European ancestry (EA). Genetically driven differences in hematopoiesis may lead to variation in the levels white blood cell (WBC) subsets which could, in turn, be associated with MM etiology. There are differences in genetic determinants of WBC traits between EA and AA populations, with possible implications for the racial disparity in risk. We tested the above hypothesis using Mendelian randomization (MR), an approach that leverages genetic determinants of specific traits (i.e. WBC counts) to estimate their effects on the risk of an outcome; and a transcriptome-wide association study (TWAS), which utilizes genetic predictors of gene expression to identify susceptibility genes. These analytic approaches were applied to data from the African American Multiple Myeloma Study (AAMMS) consisting of 1813 cases and 8871 AA cancer-free controls to examine how differences in heritable WBC gene expression profiles influence MM risk. Genetic determinants of variation in WBC subsets in AA were obtained from the literature and supplemented with new genome-wide association findings in AA subjects from the UK Biobank cohort (n=6108). Odds ratios (OR) for MM per 1 standard deviation (SD) increase in each WBC phenotype were estimated using independent (linkage disequilibrium (LD) r2<0.10) variants with P<10-6 as genetic instruments. Analyses based on variants associated with WBC traits in AA populations did not identify any statistically-significant associations between MM risk and WBC overall (p=0.81, using 15 SNPs) or subsets (lymphocytes, monocytes, eosinophils, neutrophils and basophils, p>0.05 for each). However, when we applied genetic determinants of WBC identified in 330,000 cancer-free EA UK Biobank participants (P<10-8, replication P<0.05, LD r2<0.05), a statistically significant inverse relationship emerged between increasing lymphocyte counts and MM risk (OR=0.80, 95% CI: 0.66-0.97, p=0.02, using 385 SNPs), as well as increasing basophil counts (OR=0.63, 95% CI: 0.41-0.96, p=0.03, using 140 SNPs). Next, we examined the association between WBC gene expression profiles and MM risk in AAMMS data. We applied published and validated ancestry-specific models developed using the PrediXcan approach, which leverage germline genetic and transcriptomic data from the Multi-Ethnic Study of Atherosclerosis (MESA) (Mogil et al. PMID: 30096133). The primary TWAS used gene expression models trained in AA subjects (n=233), with sensitivity analyses using models developed in AA and Hispanic subjects (n=585). The TWAS significance threshold was based on the number of genes with significant germline prediction models (p<0.05 and R2 ≥0.05) in AA, corresponding to P < 0.05/2700 = 1.85×10-5. The expression of two genes was significantly associated with MM risk: KANK1at 9p24.3 (P = 1.01×10-5) and DNAJC27at 2p23.3 (P = 1.56×10-5). KANK1is a candidate tumor suppressor gene for renal cell carcinoma and has recently been associated with MM risk in AA [Du, Blood 2017 130:3058]. Here we provide additional evidence for its role in MM etiology via gene expression-mediated mechanisms. DNAJC27 (previously known as RBJ) is a novel MM risk gene linked to constitutive activation of ERK in solid tumors. We also identified two suggestively associated genes: PRR14 (P = 1.34×10-4; combined AA-Hispanic sample: P = 1.56×10-6), which has been linked to MM risk in EA populations, and PARP16 (P = 9.46×10-5). To our knowledge this is the first study to comprehensively examine variation in WBC traits and gene expression profiles with respect to MM risk in AA. Our TWAS analysis leveraged data from the largest collection of genetic and gene expression data in AA, enabling ancestry-matched inference and identification of two novel risk genes. Although the limited availability of genetic instruments for WBC limited the power of MR analysis, findings using variants identified in European populations may offer some insight into trans-ethnic etiologic pathways and contribute to risk stratification strategies using genetic and blood cell count biomarkers. Future studies, particularly with MGUS-free controls, are needed to validate these results. Disclosures Song: Millennium Pharmaceuticals Inc: Employment. Rand:Ancestry.com: Employment. Ailawadhi:Cellectar: Research Funding; Janssen: Consultancy, Research Funding; Celgene: Consultancy; Pharmacyclics: Research Funding; Amgen: Consultancy, Research Funding; Takeda: Consultancy. Nooka:Takeda: Honoraria, Other: advisory board participation; Janssen: Honoraria, Other: advisory board participation; GSK: Honoraria, Other: advisory board participation; Spectrum pharmaceuticals: Honoraria, Other: advisory board participation; Adaptive technologies: Honoraria, Other: advisory board participation; Amgen: Honoraria, Other: advisory board participation; Celgene: Honoraria, Other: advisory board participation; BMS: Honoraria, Other: advisory board participation. Singhal:Bureau of Millennium/Takeda, Celgene, Janssen, Celgene, Bristol-Myers Squibb and Bluebird: Speakers Bureau. van Rhee:Takeda: Consultancy; Sanofi Genzyme: Consultancy; Castleman Disease Collaborative Network: Consultancy; EUSA: Consultancy; Adicet Bio: Consultancy; Kite Pharma: Consultancy; Karyopharm Therapeutics: Consultancy. Mehta:Millennium/Takeda, Celgene; stock in Celgene, Bristol-Myers Squibb and Bluebird: Speakers Bureau. Wolf:Takeda: Consultancy; Celgene: Consultancy; Novartis: Consultancy; Janssen: Consultancy; Amgen: Consultancy. Martin:Roche and Juno: Consultancy; Amgen, Sanofi, Seattle Genetics: Research Funding. Fiala:Incyte: Research Funding. Terebelo:Jannsen: Speakers Bureau; Celgene: Honoraria; Newland Medical Asociates: Employment. Anderson:Bristol-Myers Squibb: Other: Scientific Founder; Oncopep: Other: Scientific Founder; Amgen: Consultancy, Speakers Bureau; Janssen: Consultancy, Speakers Bureau; Takeda: Consultancy, Speakers Bureau; Celgene: Consultancy, Speakers Bureau; Sanofi-Aventis: Other: Advisory Board. Vij:Bristol-Myers Squibb: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Genentech: Honoraria; Janssen: Honoraria; Karyopharm: Honoraria; Sanofi: Honoraria; Takeda: Honoraria, Research Funding. Bernal-Mizrachi:TAKEDA: Research Funding; Kodikas Therapeutic Solutions, Inc: Equity Ownership; Winship Cancer Institute: Employment, Patents & Royalties. Morgan:Amgen, Roche, Abbvie, Takeda, Celgene, Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Other: research grant, Research Funding. Zonder:Celgene Corporation: Consultancy, Honoraria, 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; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Intellia: Consultancy, Membership on an entity's Board of Directors or advisory committees; Caelum: Consultancy, Membership on an entity's Board of Directors or advisory committees; Alnylam: Consultancy, Membership on an entity's Board of Directors or advisory committees; BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Consultancy, Membership on an entity's Board of Directors or advisory committees. Huff:Member of Safety Monitoring Board for Johnson and Johnson: Membership on an entity's Board of Directors or advisory committees; Karyopharm, Sanofi, MiDiagnostics: Consultancy. Lonial:Karyopharm: Consultancy; Takeda: Consultancy, Research Funding; Amgen: Consultancy; BMS: Consultancy; Janssen: Consultancy, Research Funding; GSK: Consultancy; Celgene Corporation: Consultancy, Research Funding; Genentech: Consultancy. Orlowski:Poseida Therapeutics, Inc.: Research Funding.

Background: The overall incidence of Pneumocystis Pneumonia (PJP) in lymphoma varies according to diagnosis, host factors and treatment rendered.(Carmona, et al. 2011) A meta-analysis suggested that prophylaxis is appropriate when the chance of incurring PJP is 3.5% or greater.(Green, et al. 2007) Accurately characterizing the incidence of PJP is further complicated by a transition in diagnostic methods from direct immunofluorescence assay (DFA) to a DNA-based polymerase chain reaction (PCR) technique.(Caliendo et al., 1998, Wilson JW, et al., 2011) The incidence of PCR-based diagnosis of PJP and the need for anti-Pneumocystis prophylaxis in patients diagnosed with Hodgkin lymphoma receiving chemotherapy requires further investigation. Methods: This single center, retrospective, observational study was approved by the Mayo Clinic Institutional Review Board and performed in accordance with the ethical standards of the 1964 Declaration of Helsinki. Consecutive adult patients with a diagnosis of Hodgkin lymphoma receiving chemotherapy between January 2006 and August 2018 were evaluated. Patients with history of bone marrow transplant were excluded. Kaplan-Meier estimation was used to calculate the cumulative incidence of PJP with a 95% confidence interval. Cox proportional hazard models were used to demonstrate the strength of association between the independent variables and PJP rate. Results: The 506 included patients had a median (IQR) age of 40.3 (28.6, 59.7) years, 287 (56.7%) were male, and 470 (92.9%) were Caucasian. Further baseline demographics and clinical characteristics are described in table 1 with no significant differences between those diagnosed and those free from PJP. Chemotherapy combined with radiation therapy was prescribed for 163 (32.3%) patients while 342 (67.7%) patients received chemotherapy alone. Chemotherapy regimen distribution included 356 patients (70.4%) receiving bleomycin-containing chemotherapy. Median (IQR) total Bleomycin dose was 122 (IQR: 78, 178) Units. Bleomycin-containing combination chemotherapy regimen was not significantly associated with a higher risk for PJP when compared to other combination regimens (HR=1.59, 95% CI 0.55-4.62 p=0.40). Bleomycin-related lung compromise was suspected in 130 (25.7%) patients. Anti-pneumocystis prophylaxis was provided for 97 patients (n=39 a priori, 58 after chemotherapy initiation) and this was not significantly associated with a decreased incidence of PJP (HR=0.51, 95% CI 0.15-1.71, p=0.28). The cumulative incidence of PJP 1 year after start of chemotherapy was 6.2% (95% CI 3.8%-8.5%) and is shown in figure 1. Diagnosis of PJP occurred most commonly during the 2nd (n=8, 30.7%), 3rd (n=8, 30.7%), and 4th (n=7, 26.9%) cycles of chemotherapy. Trimethoprim-sulfamethoxazole was the only agent prescribed as PJP management. There were 10 (38%) patients with PCP that required ICU admission with 9 needing mechanical ventilation, 4 necessitating vasopressor support, and none requiring dialysis. Mortality 30-days from PJP diagnosis was 8% (n=2) with one death attributable to PJP infection. Conclusion: Cumulative incidence of PJP was 6.2% in patients receiving intensive chemotherapy for Hodgkin lymphoma. As the incidence is above the 3.5% threshold previously described, the clinician should consider the potential value of prophylaxis. Defining the overall utility of universal vs. targeted anti-pneumocystis prophylaxis requires further prospective, randomized investigation. Disclosures No relevant conflicts of interest to declare. OffLabel Disclosure: Trimethoprim/Sulfamethoxazole, Pentamidine isethionate, and dapsone will be discussed as prevention of Pneumocystis Pneumonia in the HIV-negative population

Acute kidney injury (AKI) is common in those with newly diagnosed hematologic malignancies. Precipitants of AKI in this population may include tumor lysis syndrome, hypotension and other insults associated with acute illness. In a general population, AKI not only leads to short-term consequences like fluid, electrolyte and acid-base abnormalities, but each episode has been linked to worse long-term outcomes, including chronic kidney disease, cardiovascular events and death. In patients with malignancies, loss of kidney function may be additionally detrimental, as this can jeopardize eligibility for full dose or first line chemotherapy, transplantation or enrollment in clinical trials. The purpose of this study is to determine the impact of AKI on long-term loss of kidney function in patients newly diagnosed with aggressive lymphomas or acute leukemia. We performed a population-based cohort study using data from the Rochester Epidemiology Project (REP). The REP is a medical-record linkage system that integrates data for patients across multiple medical care providers in Olmsted County, MN and surrounding areas to facilitate long-term follow-up. Adults admitted to the hospital between 2005 and 2017 following a new diagnosis of acute leukemia or aggressive lymphoma were evaluated for the exposure of AKI. AKI was defined by the KDIGO serum creatinine (SCr) criterion (Stage 1: 1.5-fold increase from baseline or 0.3mg/dL increase in 48-hours; Stage 2: 2-fold increase from baseline; Stage 3: 3-fold increase from baseline, increase in SCr to >4mg/dL, or initiation of renal replacement therapy). Only the first episode of hospitalization was included. Cox proportional hazards regression was used to compare the primary outcome of loss of kidney function within 12 months of hospitalization [defined as ≥30% decline from baseline estimated glomerular filtration rate (eGFR)] in those with and without AKI. A subgroup analysis was performed in patients with a baseline eGFR <60 mL/min/1.73m2. eGFR calculations used the Chronic Kidney Disease Epidemiology Collaborative equation. Outcome evaluation began 90-days after hospitalization to establish chronicity and was defined only by outpatient SCr values. Within the REP cohort, 1,085 patients were hospitalized following a new diagnosis of acute leukemia or lymphoma who consented to the use of their medical records for research. Sixteen patients with pre-existing end-stage renal disease were excluded, leaving 1,069 included patients for analysis. The majority were white (n=1,002; 93.7%) males (n=624; 58.4%) with a mean (SD) age of 64 (18) years. Mean baseline SCr was 1.0 (0.4) mg/dL with a corresponding eGFR of 80 (27) ml/min/1.73m2. A total of 355 patients (33.2%) experienced AKI during the index hospitalization, most commonly a maximum stage of I (n=231; 21.6%). Stages II and III AKI occurred in 42 (3.9%) and 59 (5.5%) patients, respectively. Cumulative incidence of ≥30% loss of baseline eGFR in the 12 months following hospitalization was 67.9% (95% CI 56.8%-76.1%) for those with any AKI and 38.8% (95% CI 31.8%-45.1%) for those without AKI during the index hospitalization. Patients diagnosed with any stage AKI were more likely to experience this outcome compared to those without AKI (HR 2.6, 95% CI 2.2-3.5, p<0.001) in unadjusted analysis. Amongst those with a baseline eGFR ≤60 ml/min, no significant difference in the outcome was noted (HR 1.7, 95% CI 0.83-3.35, p=0.15). Patients with AKI during initial hospitalization following a new diagnosis of acute leukemia or aggressive lymphoma were significantly more likely to experience ≥30% loss of baseline eGFR in the 12 months following diagnosis. This highlights a critical need to identify interventions which prevent AKI and optimize renal recovery so as to decrease overall morbidity and preserve eligibility for desirable treatment options. Disclosures Barreto: FAST Biomedical, Inc: Consultancy. Leung:Prothena: Membership on an entity's Board of Directors or advisory committees; Takeda: Research Funding; Omeros: Research Funding; Aduro: Membership on an entity's Board of Directors or advisory committees.

Background: Prolonged methotrexate (MTX) exposure following high-dose methotrexate (HDMTX; ≥1g/m2) occurs in up to 33% of patients and potentially compromises management through increased renal and systemic toxicities.(Pinedo et al, 1977, Joerger et al, 2012) MTX-associated acute kidney injury (AKI) occurs in 5% to 30% of patients.(May et al, 2014) Rescue leucovorin dose escalation in response to an elevated 48-hour MTX concentration or serum creatinine rise is standard-of-care to reduce adverse events. The practice of preemptive leucovorin dose increases in patients with elevated MTX concentrations or previous AKI during prior MTX doses has unclear outcomes. Methods: This retrospective, single-center, cohort study was approved by the Mayo Clinic IRB and performed in accordance with the ethical standards of the 1964 Declaration of Helsinki. We identified patients newly initiated on HDMTX for management of lymphoma between 1/1/2011 and 10/31/2017 at Mayo Clinic in Rochester, MN. Patients were followed longitudinally until HDMTX was discontinued. The primary endpoint was the proportion of patients with an elevated MTX concentration (MTX > 1.0 mcmol/L) at 48 hours for the initial cycle. Secondary endpoints included the incidence of AKI (Kellum et al, 2012) and whether preemptively increased leucovorin doses during subsequent cycles of HDMTX impacted the incidence of a repeated episode of an elevated 48-hour MTX concentration, decreased incidence of AKI, or decreased hospital length of stay (LOS) compared to patients with standard leucovorin dosing (25mg intravenous every 6 hours until MTX < 0.1 mcmol/L). Results: The 321 included patients had a median (IQR) age of 65 (57, 72) years, 190 (59%) were male, and 293 (91%) were Caucasian. Baseline demographics and clinical characteristics are depicted in table 1 with those who had elevated MTX levels during their initial cycle more likely to be Male, Caucasian, have a higher BSA, have Primary DLBCL of the CNS, have bone marrow involvement, have a higher baseline SCr, higher total bilirubin, and lower albumin. The median (IQR) grams of the initial MTX dose was 6.3 (4.3, 7.5) for 84 patients (26%) receiving MTX for prophylaxis and was 12.8 grams (7.5, 16.8) for the 237 patients (74%) receiving MTX as treatment. Chemotherapy regimen distribution included 43 patients (13%) receiving HDMTX 8 grams/m2 monotherapy, 162 patients (50%) receiving HDMTX 8 grams/m2 with Rituximab and Temozolomide (MRT), and 96 patients (30%) receiving HDMTX 3.5 grams/m2 in combination with R-CHOP. Patients received a median of 3 MTX doses (IQR:2 doses, 6 doses). A total of 83 patients (36%) had an elevated MTX concentration after their first MTX dose, and the overall incidence of elevated MTX concentrations was 22% following a total of 1558 MTX doses. Preemptively increasing the leucovorin dose (based on the prior MTX concentration) was associated with a 34% rate of elevated MTX concentrations (160/466 cycles). Giving standard leucovorin (based on the prior MTX concentration) was associated with a 12% rate of elevated MTX concentration (84/713 cycles). Those with a preemptively increased leucovorin dose were more likely to have an elevated MTX concentration in that cycle (OR=2.84, 95% CI: 2.03-3.97, p<0.001). For the secondary endpoint of AKI, the overall incidence was 18% with 107 patients (33%) experiencing AKI after their first MTX dose. In these first dose AKI episodes, 81 cases (25%) were stage 1, 19 (6%) stage 2, and 7 (2%) stage 3 Preemptive leucovorin dose increase was associated with a greater risk of AKI after MTX (OR=1.52, 95% CI: 1.05-2.19, p=0.027). Overall median hospital LOS was 4.1 (3.8, 5.8) days. Hospital LOS was longer in those with preemptively increased leucovorin doses (Median LOS with preemptively increased leucovorin doses: 5 (4.1, 6.1) days; without preemptively increased leucovorin doses: 4 (3.2, 4.3) days; estimated difference=1.1 days, 95% CI: 0.5-1.7, p<0.001). Conclusion: HDMTX leads to a significant incidence of elevated serum 48hr MTX levels and AKI, 22% and 18%, respectively. Rather than protective, we found that preemptively increased leucovorin doses used during subsequent cycles did not improve the incidence of delayed elimination, reduce the incidence of AKI, or shorten hospital LOS per MTX dose. Further investigation is needed to optimize dosing strategies and supportive measures following MTX administration for management of lymphoma patients. Disclosures Barreto: FAST Biomedical, Inc: Consultancy. Leung:Takeda: Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees; Aduro: Membership on an entity's Board of Directors or advisory committees; Omeros: Research Funding.

Background: Immune thrombotic thrombocytopenic purpura (iTTP) is a potentially fatal hematologic disorder characterized by thrombocytopenia, microangiopathic hemolytic anemia, and ischemic organ impairment. The incidence of iTTP is higher among African-Americans (AA), however, differences in presentation and outcomes have not been fully investigated. In a multi-center cohort of patients with iTTP from the United States Thrombotic Microangiopathy (USTMA) Consortium, we tested the hypothesis that AA race is an independent predictor of poor outcomes including iTTP related mortality and relapse. Methods: We queried data from the USTMA iTTP registry, which currently includes data from 785 individual patients from 15 institutions across the United States. Data from at least one iTTP episode are available for 734 patients. The cohort is 35.1% (N = 272) White, 58.7% (N = 455) African American, 0.4% (N=3) Asian, 1.8% (N=14) Hispanic, and 4.0 % (N=31) other/unknown race. We restricted our analyses to AA and White participants because of small numbers in the other groups. We compared presenting features and treatments using the chi-squared test and t-test for categorical and continuous variables, respectively. A relapse was defined as a recurrent iTTP episode occurring at least 30 days after last therapeutic plasma exchange. To evaluate relapse-free survival, we included only patients enrolled in the registry at their first TTP episode (144 White and 246 AA) since patients presenting with a relapse as their index episode are already confirmed to have relapsing iTTP. Kaplan Meier analysis was used to compare relapse-free survival in White and AA patients, and a Cox regression model was developed to evaluate the independent effect of race on relapse, adjusting for potential confounders including age, sex, and the use of rituximab. Results: Demographics and presenting features of 390 individuals (144 White and 246 AA) presenting with a first episode of iTTP are shown in Table 1. Presenting symptoms including fever, confusion, seizure, memory deficits, stupor, headache, stroke, chest pain, abdominal pain, fatigue, and dark urine were similar between Whites and AA except for petechiae, which were more frequently documented in Whites (28.8% vs 17.7%, p=0.011). Presenting laboratory studies were also comparable though AA had a higher rate of elevated serum troponin (50.6% vs 32.5%, p=0.003), lower hemoglobin level (8.27 ± 0.13 vs 8.81 ± 0.19, p=0.0176) and platelet count (20.3 ± 1.2 vs 26.2 ± 3.2, p=0.0432). In addition to therapeutic plasma exchange and corticosteroids, rituximab was administered to 23.7% of White patients and 22.7% of AA during their first iTTP episode (P=0.815). Median time to platelet count recovery (days of daily plasma exchange until normal platelet count for two consecutive days) was shorter in AA compared with White patients [5 (IQR 4, 10) vs. 8 (IQR 5, 14), log rank P = 0.004]. AA race remained a significant predictor of the shorter time to platelet count recovery [HR 1.44 (95% CI 1.12, 1.85), P=0.004] after adjusting for rituximab therapy [HR 0.60 (95% CI 0.0.46, 0.80), P<0.001], female sex [HR 0.95 (95% CI 0.73, 1.22), P=0.669], age [HR 0.99 (95% CI 0.99, 1.01), P=0.682], platelet count [HR 1.00 (95% CI 0.99, 1.04), P=0.820] and LDH at presentation [HR 1.00 (95% CI 1.00, 1.00), P=0.525]. Death during the first episode occurred in 8.9% of White patients and 5.5% of AA patients (P=0.206). Relapse-free survival after the first episode of iTTP was lower in AA than White patients (Figure 1). AA race was associated with the reduced relapse free survival [HR 1.79 (95% CI 1.08, 2.98), P=0.024] in a Cox regression model adjusted for age [HR 1.00 (95% CI 0.98, 1.01), P=0.683], sex [HR 0.96 (95% CI 0.60, 1.54), P=0.867], and rituximab therapy [HR 0.93 (95% CI 0.55, 1.59), P=0.806]. Conclusion: African Americans with iTTP have a higher relapse rate and shorter relapse free survival after the first episode of the disease compared with Caucasian patients, which is independent of age, sex and rituximab therapy. Contrary to our hypothesis, acute outcomes of iTTP (time to platelet count recovery and mortality) were not worse in AA patients. The factors contributing to the higher relapse rate in AA with iTTP need to be further investigated. Our findings suggest that AA patients may also benefit from closer follow up. Disclosures Farland: Sanofi: Membership on an entity's Board of Directors or advisory committees. Metjian:Sanofi: Membership on an entity's Board of Directors or advisory committees. Raval:Bayer, Inc: Research Funding; Sanofi: Membership on an entity's Board of Directors or advisory committees. Liles:Shire: Other: PI on clinical trial Sickle cell ; Imara: Other: PI on Clinical trial- Sickle cell ; Novartis: Other: PI on clinical trial Sickle cell . Baumann Kreuziger:CSL Behring: Consultancy; Vaccine Injury Compensation Program: Consultancy. McCrae:Dova Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Pfizer Pharmaceutical: Membership on an entity's Board of Directors or advisory committees; Rigel Pharmaceutical: Membership on an entity's Board of Directors or advisory committees; Sanofi Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees. Zheng:Alexion: Speakers Bureau; Ablynx/Sanofi: Consultancy, Speakers Bureau; Clotsolution: Other: Co-Founder; Shire/Takeda: Research Funding. Cataland:Alexion: Consultancy, Research Funding; Ablynx/Sanofi: Consultancy, Research Funding. Chaturvedi:Shire/Takeda: Research Funding; Sanofi: Consultancy; Alexion: Consultancy.

Abstract Pathogenic sequence variants (PSV) in BRCA1 or BRCA2 (BRCA1/2) are associated with increased risk and severity of prostate cancer. We evaluated whether PSVs in BRCA1/2 were associated with risk of overall prostate cancer or high grade (Gleason 8+) prostate cancer using an international sample of 65 BRCA1 and 171 BRCA2 male PSV carriers with prostate cancer, and 3,388 BRCA1 and 2,880 BRCA2 male PSV carriers without prostate cancer. PSVs in the 3′ region of BRCA2 (c.7914+) were significantly associated with elevated risk of prostate cancer compared with reference bin c.1001-c.7913 [HR = 1.78; 95% confidence interval (CI), 1.25–2.52; P = 0.001], as well as elevated risk of Gleason 8+ prostate cancer (HR = 3.11; 95% CI, 1.63–5.95; P = 0.001). c.756-c.1000 was also associated with elevated prostate cancer risk (HR = 2.83; 95% CI, 1.71–4.68; P = 0.00004) and elevated risk of Gleason 8+ prostate cancer (HR = 4.95; 95% CI, 2.12–11.54; P = 0.0002). No genotype–phenotype associations were detected for PSVs in BRCA1. These results demonstrate that specific BRCA2 PSVs may be associated with elevated risk of developing aggressive prostate cancer. Significance: Aggressive prostate cancer risk in BRCA2 mutation carriers may vary according to the specific BRCA2 mutation inherited by the at-risk individual.

Objective: To describe the incidence and risk factors for mortality and morbidity in patients with cirrhosis undergoing elective or emergent abdominal surgeries. Background: Postoperative morbidity and mortality are higher in patients with cirrhosis; variation by surgical procedure type and cirrhosis severity remain unclear. Methods: We analyzed prospectively-collected data from the Veterans Affairs (VA) Surgical Quality Improvement Program for 8193 patients with cirrhosis, 864 noncirrhotic controls with chronic hepatitis B infection, and 5468 noncirrhotic controls without chronic liver disease, who underwent abdominal surgery from 2001 to 2017. Data were analyzed using random-effects models controlling for potential confounders. Results: Patients with cirrhosis had significantly higher 30-day mortality than noncirrhotic patients with chronic hepatitis B [4.4% vs 1.3%, adjusted odds ratio (aOR) 2.80, 95% confidence interval (CI) 1.57–4.98] or with no chronic liver disease (0.8%, aOR 4.68, 95% CI 3.27–6.69); mortality difference was highest in patients with Model for End-stage Liver Disease (MELD) score ≥10. Among patients with cirrhosis, postoperative mortality was almost 6 times higher after emergent rather than elective surgery (17.2% vs. 2.1%, aOR 5.82, 95% CI 4.66–7.27). For elective surgeries, 30-day mortality was highest after colorectal resection (7.0%) and lowest after inguinal hernia repair (0.6%). Predictors of postoperative mortality included cirrhosis-related characteristics (high MELD score, low serum albumin, ascites, encephalopathy), surgery-related characteristics (emergent vs elective, type of surgery, intraoperative blood transfusion), comorbidities (chronic obstructive pulmonary disease, cancer, sepsis, ventilator dependence, functional status), and age. Conclusions: Accurate preoperative risk assessments in patients with cirrhosis should account for cirrhosis severity, comorbidities, type of procedure, and whether the procedure is emergent versus elective.

Abstract INTRODUCTION Neuroimaging dogma for glioblastoma asserts that hyperintensity on T1Gd MRI reveals the bulk of the tumor, while T2/FLAIR signal indicates edema. However, it is unclear whether this edema results from immune response or increased tumor cells. Further, one significant driver of the known sex differences in glioblastoma may be differences in immune response, due to the X-linkage of many immune genes. Based on this, we hypothesized that assumptions regarding tumor cellularity in T2/FLAIR images should be tailored to the biological sex of the patient. METHODS Using a retrospective cohort of 18 primary glioblastoma patients receiving multiple image-localized biopsies (82 total) and standard MRI, we assessed: distance of biopsy from T1Gd and T2 areas; a pathologist’s score of percent tumor cell density; and an imaging-based invasion metric, D/ρ. This metric is derived from the biomathematical Proliferation-Invasion model of glioma growth, which features two parameters, net growth rate (ρ) and net invasion rate (D). Their ratio D/ρ is related to degree of invasion, and is estimated from volumetric measurements of MRI abnormalities. Additionally, 25 patient-derived xenograft models implanted in females were grown until moribund, at which point brains were excised and stained for DAPI (to show all cells) and Lamin (to highlight tumor cells). Image processing of lamin-stained sections defines contours of intensity correlating with cell density. RESULTS Outside both the T1Gd and T2 region, male patient biopsies had higher tumor cell densities than females. Males also tended to have higher invasion metrics. Although each set derived from different patients, preclinical metrics of invasion were positively correlated with clinical invasion in females but negatively correlated in males. CONCLUSION Our preliminary finding that cell distribution patterns correlate with imaging metrics differently between the sexes supports the hypothesis that the degree of tumor cell density represented on certain MRI sequences may be sex-specific.

Abstract INTRODUCTION Locations of gliomas may influence clinical presentations, molecular profiles, treatment options, and prognoses. Using the Mayo Clinic Arizona Cancer Center registry, we analyzed the frequency at which gliomas were identified in different regions of the brain. We evaluated molecular profiles, clinical courses and survival by anatomic location. METHODS Registry was queried to include patients with glioma over a 10-year period. Statistical analyses were used to compare demographic, genetic, and clinical characteristics among patients with gliomas in different locations. RESULTS 182 gliomas were identified. Of the tumors confined to a single lobe, there were 51 frontal (28.0%), 50 temporal (27.5%), 22 parietal (12.1%), and 7 occipital tumors (3.8%) identified. Multifocal disease was noted in 38 patients (20.9%). Tumors affecting temporal lobe were associated with reduced overall survival when compared to all other tumors (11.0 months vs. 13.0 months, log-rank p=0.0068). However, this disparity became insignificant when adjusted for tumor grade, age, and surgical approach [HR(95% CI) 1.26(0.87, 1.82), p=0.212]. Out of 82 cases tested for IDH-1, 10 were mutated (5.5%). IDH-1 mutation was present in 6 frontal, 2 temporal, 1 thalamic, and 1 multifocal tumor. Out of 21 cases tested for 1p19q deletions, 12 were co-deleted, 9 of which were frontal lobe tumors. MGMT methylation was assessed in 45 cases; 7 of 14 frontal tumors and 6 of 13 temporal tumors were methylated. ATRX loss was detected in 2/42 assessed cases. CONCLUSION Our results support the hypothesis that the anatomical locations of gliomas influence patients’ clinical courses. Tumors involving the temporal lobe were associated with poorer survival, though this association appeared to be driven by these patients’ more aggressive tumor profiles and higher risk baseline demographics. Molecular analysis was limited by low prevalence of genetic testing in the study sample, highlighting the importance of capturing this information for all gliomas.

Abstract Glioblastoma (GBM) is the most aggressive primary brain tumor with a median overall survival of 15 months with standard-of-care treatment. GBM patients sometimes present with a cystic component, which can be identified through magnetic resonance imaging (MRI). Previous studies suggest that cysts occur in 7–22% of GBM patients and have reported mixed results regarding whether cystic GBM have a survival benefit compared to noncystic GBM. Using our large retrospective cohort of 493 first-diagnosis GBM patients, we aim to elucidate this link between cystic GBM and survival. Within this cohort, 88 patients had a significant cystic component at presentation as identified on MRI. Compared to noncystic GBM (n=405), cystic GBM patients had significantly better overall survival (15 vs 22 months median, log-rank, p=0.001) and were significantly younger at the time of presentation (t-test, p=0.002). However, within patients that received current standard-of-care treatment (n=184), cystic GBM (n=40) was not as beneficial for outcome (22 vs 25 months, log-rank, p=0.3). We also did not observe a significant survival benefit when comparing this standard-of-care cystic cohort to cystic GBM patients diagnosed before the standard was established (n=19, 25 vs 23 months, log-rank, p=0.3), but the analogous result for noncystic GBM patients gives a sizeable benefit, as expected (n=144, n=111, respectively, 22 vs 12 months, log-rank p < 0.0001). Together, these results on current standard-of-care may explain later studies that note no significant survival benefit for cystic GBM patients receiving current standard-of-care. We also report differences in the absolute and relative sizes of imaging abnormalities on MRI and in prognostic impact of cysts based on sex. We discuss current hypotheses for these observed differences, including the possibility that the presence of a cyst could be indicative of a less aggressive tumor.