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Abstract The importance of aberrant signal transduction in the development and progression of cancers including multiple myeloma (MM) is well recognized, although the detailed regulation of signaling networks in relation to oncogenic mutations remains incompletely understood. However, this subject is becoming increasing relevant to clinical oncology due the rapid development of biological-based therapies that can target signaling pathways. Analytical methods that can be applied to clinical samples to measure complex populations of cells and phenotype them for multiple activation states are now feasible due to the recent advances in intracellular signal techniques, flow cytometry and phospho-antibodies. Using multi-parameter flow cytometry, we monitored phospho-protein responses to activators/cytokines and signal transduction inhibitors in a panel of 14 extensively characterized human MM cell lines with heterogeneous molecular abnormalities. A panel of 4-phospho-specific antibodies: anti-pS6, anti-ERK1/2, anti-pAKT and anti-pSTAT3 that represent downstream target genes of signaling pathways known to play central roles in myelomagenesis were used in the initial analysis. Sixteen conditions (basal, inhibitor, activator alone, activator and inhibitor) were studied to generated 64 readouts designed to survey altered signal transduction in the 14 cell lines. We collected data on unstimulated cells and cells stimulated for 7–10 min with IL-6, IGF-1 or FGF or cells inhibited with the signal transduction inhibitors U0126 (MEK), rapamycin (mTOR) or LY294002 (PI3-K). Repeat measurements were collected and the technique and monoclonal antibodies displayed a high level of reproducibly. In contrast, the basal, cytokine and inhibitor responses between cell lines varied considerably reflecting the molecular heterogeneity at the level of signaling responses. The protocols that have been refined and validated in myeloma cell lines are now being applied to primary bone marrow samples from MM patients. Although the same size thus far is small, phospho-protein responses among primary CD138 positive myeloma cells show considerable induction and variance of AKT, MAPK, STAT3 and pS6 phosphorylation. In some MM tumor samples treatment with inhibitors suggest constitutive activation of these signaling pathways while in others the nodes remain activable with phosphorylation above the basal state following stimulation. The data further suggests that MAPK phosphorylation following aFGF stimulation displays significant variance among MM samples and correlates with the detection of t(4;14) translocation by FISH analysis. Additional samples are being assessed and correlation of phospho-protein responses with clinical parameters and cytogenetics will be reported. The data demonstrate that multi-parameter flow cytometry can be applied to myeloma tumor samples to study the phospho-proteome and that considerable heterogeneity exists at the level of signaling responses.

In previous studies, we found that after cervical spinal cord hemisection at C2 (SH), neuromuscular transmission improved in the rat diaphragm muscle (DIAm). We also found that exogenous brain‐derived neurotrophic factor (BDNF) treatment enhanced neuromuscular transmission, whereas inhibiting activation of its receptor (TrkB) worsened neuromuscular transmission. We hypothesized that expression of BDNF and/or its receptor TrkB at phrenic motoneurons would increase following SH. In the present study, adult male rats underwent SH or sham surgery. Phrenic motoneurons were labeled by injection of cholera toxin B into the DIAm and retrogradely‐labeled phrenic motoneurons were sampled by laser capture microdissection (LCM). BDNF and TrkB receptor (truncated – T1 and full length – FL) mRNA were measured in LCM‐microdissected motoneurons using quantitative real‐time RT‐PCR and expressed as a ratio to ribosomal S16 RNA. We found that BDNF mRNA expression in phrenic motoneurons increased by 3 days after SH (~2‐fold). Similarly, both TrkB.T1 and TrkB.FL mRNA increased by 3 days after SH (~17‐ and ~11‐fold, respectively). It is possible that the relative expression of neurotrophins and their receptors (truncated or full‐length) may determine the time‐course of restoration of phrenic activity following SH. Supported by NIH grants AR51173 and HL37680 and the Mayo Foundation.

DIAm motor units are normally recruited in an orderly fashion to accomplish different ventilatory and non‐ventilatory behaviors. Following a cervical spinal cord hemisection at C2 (SH), there is restoration of phrenic activity over time. We hypothesized that an orderly recruitment of DIAm motor units is maintained with the restoration of rhythmic DIAm electromyographic (EMG) activity following SH. A pair of electrode wires was implanted into the midcostal regions of the DIAm of adult male rats for chronic EMG recording. Three days later, these animals underwent SH surgery. We examined changes in integrated DIAm EMG activity across different motor behaviors (i.e., eupnea, hypercapnia, tracheal occlusion and fictive sneezing) assuming that DIAm EMG activity during fictive sneezing represents the maximum recruitment of DIAm motor units. As expected in controls, DIAm EMG activity increased from eupnea (~27% of max) to hypercapnia (5% CO 2; ~45% of max) to sustained tracheal occlusion (~60% of max). By 14 days after SH with restored rhythmic DIAm activity, the amplitude of EMG activity on the ipsilateral side was reduced, and the changes in EMG activity induced by increased ventilatory and non‐ventilatory drive were blunted, although an orderly recruitment of motor units was still observed. These results support a generalized strengthening of contralateral presynaptic drive over time following spinal cord injury. Supported by NIH grants AR51173 and HL37680 and the Mayo Foundation.

8538 Background: Follicular lymphoma (FL) is a heterogeneous disease with a variable prognosis. Transformation to an aggressive lymphoma is associated with a poor prognosis. Previous studies have identified tumor microenvironment cells such as CD68+ macrophages, PD-1+ and FOXP3+ cells as prognostic in FL. However, results have been conflicting and infrequently address the risk of transformation. In this study we analyzed various components of the microenvironment and their association with transformation. Methods: Patients with FL that later transformed were identified through Mayo Clinic lymphoma database. Tissue specimens at diagnosis were stained with CD68, CD11c, CD21, CXCL13, FOXP3, PD-1 and CD14 and characterized by pattern of location and semi-quantitative cell content. Time to transformation (TTT) and overall survival (OS) were assessed by Kaplan-Meir analysis. Significant variables were further analyzed by cox proportional hazards model. Results: 58 patients were included with a median TTT of 4.7 years (range, 0.4-20). Presence of CD14+ cells vs absence and their location (follicular vs non-follicular) were associated with shorter TTT (4.5 vs 6.2 yrs., p=0.037 and 3.8 vs 5.9 yrs. p= 0.027, respectively). The quantity of PD-1+ cell content was not associated with TTT or OS. However, localization of PD-1 to the follicle compared to diffuse was associated with a longer TTT (6.1 vs 3.6 yrs. p=0.033) and superior OS (9.7 vs 4.6 yrs. p=0.009). On multivariate analysis, the pattern of CD14 and PD-1 staining remained significantly associated with shorter TTT (Table). Conclusions: In follicular lymphoma, a diffuse pattern of PD-1+ cells is associated with inferior TTT and OS. CD14+ cells localized to the follicle is associated with a shorter TTT. After accounting for FLIPI score, both these factors remained significant. These results identify two independent predictors of the rate of transformation in follicular lymphoma and suggest it is location rather than quantity of CD14+ or PD-1+ cells that influence outcomes. [Table: see text]

AbstractProhormone convertase 2 (PC2) is essential for the biosynthesis of many neuropeptides, including several of them in hippocampus. In mouse brain, lacking an enzymatically active PC2 (PC2‐null) causes accumulation of many neuropeptides in their precursor or intermediate forms. Little is known about how a PC2‐null state may affect the function of the hippocampus. In this study, adult PC2‐null mice and their wildtype (WT) littermates were subjected to three analyses to determine possible changes associated with PC2‐null at physiological, behavioral, and molecular levels, respectively, under normal and stressed conditions. Electrophysiological recordings of hippocampal slices were performed to measure evoked field‐excitatory postsynaptic potentials (EPSP), long‐term potentiation (LTP), and paired‐pulse facilitation (PPF). Morris water maze (MWM) testing was conducted to examine behavioral changes that are indicative of hippocampal integrity. Quantitative mass spectrometry analysis was used to determine changes in the hippocampal proteome in response to a focal cerebral ischemic insult. We found that there were no significant differences in the threshold of evoked EPSPs between PC2‐null and WT animals. However, an increase in LTP in both triggering rate and amplitude was observed in PC2‐null mice, suggesting that PC2 may be involved in regulating synaptic strength. The PPF, on the other hand, showed a decrease in PC2‐null mice, suggesting a presynaptic mechanism. Consistent with changes in LTP, PC2‐null mice displayed decreased latencies in finding the escape platform in the MWM test. Further, after distal focal cerebral ischemia, the hippocampal proteomes incurred changes in both WT and PC2‐null mice, with a prominent change in proteins associated with neurotransmission, exocytosis, and transport processes seen in the PC2‐null but not WT mice. Taken together, our results suggest that PC2 is involved in regulating hippocampal synaptic plasticity, learning, and memory behaviors, as well as the hippocampal response to stresses originating in other regions of the brain.

Background: Follicular lymphoma (FL) is the most frequent indolent lymphoma. While immunochemotherapy (IC) treated FL patients who achieve event-free status at 24 months after diagnosis (EFS24) have the subsequent life expectancy of the general population, those who fail to achieve EFS24 have aggressive disease with poor outcomes. Similarly, in FL patients initially observed or treated with rituximab monotherapy, EFS at 12 months (EFS12) is a strong predictor of subsequent outcome. Thus, an unmet patient need is to predict at diagnosis those at greatest risk of early failure in order to identify better treatments. The lymphoma microenvironment may be a key determinant of early failure. Therefore, we aimed to improve risk stratification of newly diagnosed FL patients by using a discovery and validation study design to identify microenvironment determinants of early failure and then integrate them into the Follicular Lymphoma International Prognostic Index (FLIPI). Patients and Methods: We evaluated 496 patients with FL grade 1-3A who were prospectively enrolled into the Molecular Epidemiology Resource (MER) cohort from 2002-2012. In the discovery set of patients (N=166), we stained tissue microarrays for CD4, CD8, FOXP3, CD32b, CD14, CD68, CD70, SIRPa, TIM3, PD-1 and PDL1. Immunohistochemical staining was determined both within and between malignant follicles. Stains were scored to the nearest decile as the percentages of cells positive. Scores for each stain were dichotomized as 0% vs >0% except for CD32b (<20% vs ≥20%), CD70 (<10% vs ≥10%), and SIRPa (<30% vs ≥30%). EFS was defined as time from diagnosis to progression, relapse, retreatment, or death. Early failure was defined as failing to achieve EFS24 for patients treated with IC at diagnosis and failing to achieve EFS12 for patients who were observed or received other treatments. Risk of early failure was estimated using odds ratios (ORs) and 95% confidence intervals (CI) from logistic regression models. Markers at P≤0.15 were brought forward for validation in a separate set of patients from the MER cohort (N=330), with P<0.005 being declared statistically significant after a Bonferroni correction (0.05/10 tests). In the combined dataset, we also used Cox regression to assess associations with continuous EFS and overall survival (OS). Mass cytometry (CyTOF) was then performed on a subset of patients (N=51) to comprehensively characterize the phenotype of intratumoral immune cells associated with outcome. Results: In the discovery set, CD4, CD8, FOXP3, PD-1, and SIRPα were associated with risk of early failure at P≤0.15 and were subsequently evaluated in the validation set. Only CD4 expression inside the follicle validated. Specifically, lack of CD4 expression inside the follicle was associated with higher risk of early failure in the discovery (OR=1.77, P=0.15) and validation (OR=2.59, P=0.001) sets, with a pooled OR=2.29 (95% CI 1.47-3.58; P<0.001). CyTOF analysis characterized the favorable CD4+ T-cell population associated with achieving EFS12/24 as activated effector memory T cells lacking exhaustion markers (Figure 1A). Adjustment of CD4 expression for FLIPI in the combined dataset did not weaken this association (OR=2.38, 95% CI 1.51-3.79), and lack of CD4 expression was prognostic within each FLIPI group 0-1 (OR=2.65; p=0.036), 2 (OR=2.07; P=0.064) and 3-5 (OR=2.51; P=0.015). We next established a bio-clinical risk model (termed BioFLIPI) that combined CD4 intrafollicular expression and FLIPI into a 1-4 scale, where any expression of intrafollicular CD4 moved a patient up one FLIPI risk group, adding a fourth (high) risk group for FLIPI 3-5 and any CD4 inside expression. The BioFLIPI score was strongly associated with risk of early failure: compared to a BioFLIPI score of 1 (24% of patients), patients with a score of 2 (35% of patients; OR=2.17, 95% CI 1.08-4.69), 3 (31% of patients; OR=3.53, 95% CI 1.78-7.54), and 4 (10% of patients; OR=8.92, 95% CI 4.00-21.1) had increasing risk of early failure. The c-statistic for BioFLIPI was 0.665, which was higher than that for FLIPI alone (0.636). BioFLIPI was also strongly predictive of continuous EFS [Figure 1B], OS [Figure 1C], and for EFS and EFS24 when restricted to IC-treated patients [Figure 1D]. Conclusion: Integration of CD4 expression inside the follicle at diagnosis with FLIPI improves identification of FL patients at risk for early failure. Disclosures Novak: Celgene Coorperation: Research Funding. Nowakowski:Curis: Research Funding; Bayer: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; F. Hoffmann-La Roche Ltd: Research Funding; Selvita: Membership on an entity's Board of Directors or advisory committees; NanoString: Research Funding; Genentech, Inc.: Research Funding; MorphoSys: Consultancy, Research Funding. Cerhan:NanoString: Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding. Ansell:LAM Therapeutics: Research Funding; Mayo Clinic Rochester: Employment; Affimed: Research Funding; Affimed: Research Funding; Trillium: Research Funding; Bristol-Myers Squibb: Research Funding; Mayo Clinic Rochester: Employment; Affimed: Research Funding; Trillium: Research Funding; Seattle Genetics: Research Funding; Regeneron: Research Funding; Bristol-Myers Squibb: Research Funding; Trillium: Research Funding; Trillium: Research Funding; LAM Therapeutics: Research Funding; Regeneron: Research Funding; LAM Therapeutics: Research Funding; LAM Therapeutics: Research Funding; Seattle Genetics: Research Funding; LAM Therapeutics: Research Funding; Bristol-Myers Squibb: Research Funding; LAM Therapeutics: Research Funding; Regeneron: Research Funding; Bristol-Myers Squibb: Research Funding; LAM Therapeutics: Research Funding; Seattle Genetics: Research Funding; Seattle Genetics: Research Funding; Mayo Clinic Rochester: Employment; Affimed: Research Funding; Bristol-Myers Squibb: Research Funding; Bristol-Myers Squibb: Research Funding; Seattle Genetics: Research Funding; Seattle Genetics: Research Funding; LAM Therapeutics: Research Funding; Trillium: Research Funding; LAM Therapeutics: Research Funding; Affimed: Research Funding; Regeneron: Research Funding; Trillium: Research Funding; Mayo Clinic Rochester: Employment; Regeneron: Research Funding; Seattle Genetics: Research Funding; Regeneron: Research Funding; Bristol-Myers Squibb: Research Funding; Trillium: Research Funding; Regeneron: Research Funding; Mayo Clinic Rochester: Employment; Affimed: Research Funding; Mayo Clinic Rochester: Employment; Seattle Genetics: Research Funding; Affimed: Research Funding; Bristol-Myers Squibb: Research Funding; Bristol-Myers Squibb: Research Funding; Affimed: Research Funding; Trillium: Research Funding; Regeneron: Research Funding; Affimed: Research Funding; Trillium: Research Funding; Mayo Clinic Rochester: Employment; Regeneron: Research Funding; Seattle Genetics: Research Funding; Mayo Clinic Rochester: Employment; Mayo Clinic Rochester: Employment.

Background The Global Burden of Disease Study (GBD) has historically produced estimates of causes of injury such as falls but not the resulting types of injuries that occur. The objective of this study was to estimate the global incidence, prevalence and years lived with disability (YLDs) due to facial fractures and to estimate the leading injurious causes of facial fracture. Methods We obtained results from GBD 2017. First, the study estimated the incidence from each injury cause (eg, falls), and then the proportion of each cause that would result in facial fracture being the most disabling injury. Incidence, prevalence and YLDs of facial fractures are then calculated across causes. Results Globally, in 2017, there were 7 538 663 (95% uncertainty interval 6 116 489 to 9 493 113) new cases, 1 819 732 (1 609 419 to 2 091 618) prevalent cases, and 117 402 (73 266 to 169 689) YLDs due to facial fractures. In terms of age-standardised incidence, prevalence and YLDs, the global rates were 98 (80 to 123) per 100 000, 23 (20 to 27) per 100 000, and 2 (1 to 2) per 100 000, respectively. Facial fractures were most concentrated in Central Europe. Falls were the predominant cause in most regions. Conclusions Facial fractures are predominantly caused by falls and occur worldwide. Healthcare systems and public health agencies should investigate methods of all injury prevention. It is important for healthcare systems in every part of the world to ensure access to treatment resources.

Drug safety is a severe clinical pharmacology and toxicology problem that has caused immense medical and social burdens every year. Regretfully, a reproducible method to assess drug safety systematically and quantitatively is still missing. In this study, we developed an advanced machine learning model for de novo drug safety assessment by solving the multilayer drug‐gene‐adverse drug reaction (ADR) interaction network. For the first time, the drug safety was assessed in a broad landscape of 1,156 distinct ADRs. We also designed a parameter ToxicityScore to quantify the overall drug safety. Moreover, we determined association strength for every 3,807,631 gene‐ADR interactions, which clues mechanistic exploration of ADRs. For convenience, we deployed the model as a web service ADRAlert‐gene at http://www.bio-add.org/ADRAlert/. In summary, this study offers insights into prioritizing safe drug therapy. It helps reduce the attrition rate of new drug discovery by providing a reliable ADR profile in the early preclinical stage.

Background Past research has shown how fires, heat and hot substances are important causes of health loss globally. Detailed estimates of the morbidity and mortality from these injuries could help drive preventative measures and improved access to care. Methods We used the Global Burden of Disease 2017 framework to produce three main results. First, we produced results on incidence, prevalence, years lived with disability, deaths, years of life lost and disability-adjusted life years from 1990 to 2017 for 195 countries and territories. Second, we analysed these results to measure mortality-to-incidence ratios by location. Third, we reported the measures above in terms of the cause of fire, heat and hot substances and the types of bodily injuries that result. Results Globally, there were 8 991 468 (7 481 218 to 10 740 897) new fire, heat and hot substance injuries in 2017 with 120 632 (101 630 to 129 383) deaths. At the global level, the age-standardised mortality caused by fire, heat and hot substances significantly declined from 1990 to 2017, but regionally there was variability in age-standardised incidence with some regions experiencing an increase (eg, Southern Latin America) and others experiencing a significant decrease (eg, High-income North America). Conclusions The incidence and mortality of injuries that result from fire, heat and hot substances affect every region of the world but are most concentrated in middle and lower income areas. More resources should be invested in measuring these injuries as well as in improving infrastructure, advancing safety measures and ensuring access to care.