Citations

Abstract Background Modern-day penile prostheses use infection retardant coating to decrease rates of postoperative infection, subsequently reducing explantation and revision rates as well. The Coloplast Titan models are dipped into antimicrobial solutions right before implantation, and the components used for dipping can be tailored toward the patient. Aim To compare infection, explantation, and revision rates among different dipping solutions used before implantation for patients with diabetes receiving a Coloplast Titan implant. Methods We systematically reviewed 932 patients with diabetes receiving a primary penile implant across 18 different centers from the period April 2003 to August 2018. Of those patients, 473 received a Coloplast device, whereas 459 received an AMS device. Data regarding the type of antimicrobial solution used before implantation were recorded for 468 patients receiving a Coloplast Titan, including whether or not they suffered a postoperative infection and if they underwent explantation and/or revision. Outcome rates were compared using Fisher’s exact and Pearson’s chi-square tests, and logistic regression modeling was performed to account for covariates. Outcomes The main outcome measures of this study were postoperative infection, explantation, and revision rates. Results Of the total 932 patients reviewed, 33 suffered a postoperative infection. Of 468 patients receiving Coloplast implants, there was a 3.4% infection rate. The most commonly used antibiotic combination before dipping was vancomycin + gentamicin (59.0%). There was a significantly lower rate of postoperative infection, explantation, and revision when vancomycin + gentamicin was used than those associated with the use of all other dipping solutions ([1.4% vs 6.4%; P = .004], [1.1% vs 8.3%; P < .001], and [2.5% vs 12.5; P < .001], respectively). After adjusting for age, body mass index, preoperative blood glucose level, and hemoglobin A1c, the use of other dips was an independent predictor of postoperative infection (odds ratio: 0.191; P = .049). The inclusion of rifampin in the dipping solution trended toward being a significant risk factor for infection (P = .057). Including antifungals in the dipping solution did not affect infection (P = .414), explantation (P = .421), or revision (P = .328) rates. Clinical Implications Vancomycin + gentamicin was the most efficacious combination of antibiotics used for dipping in terms of preventing postoperative infection and subsequent explantation and revision. Strengths and Limitations Data were sampled across multiple institutions providing a large sample that may be more representative of the population of interest. A key limitation of the study was its retrospective nature, which prevented us from controlling certain variables. Conclusion The use of rifampin did not provide the same type of protection, possibly representing a shift in resistance patterns of common bacteria responsible for device infection.

Abstract Background: A polygenic hazard score (PHS), the weighted sum of 54 SNP genotypes, was previously validated for association with clinically significant prostate cancer and for improved prostate cancer screening accuracy. Here, we assess the potential impact of PHS-informed screening. Methods: United Kingdom population incidence data (Cancer Research United Kingdom) and data from the Cluster Randomized Trial of PSA Testing for Prostate Cancer were combined to estimate age-specific clinically significant prostate cancer incidence (Gleason score ≥7, stage T3–T4, PSA ≥10, or nodal/distant metastases). Using HRs estimated from the ProtecT prostate cancer trial, age-specific incidence rates were calculated for various PHS risk percentiles. Risk-equivalent age, when someone with a given PHS percentile has prostate cancer risk equivalent to an average 50-year-old man (50-year-standard risk), was derived from PHS and incidence data. Positive predictive value (PPV) of PSA testing for clinically significant prostate cancer was calculated using PHS-adjusted age groups. Results: The expected age at diagnosis of clinically significant prostate cancer differs by 19 years between the 1st and 99th PHS percentiles: men with PHS in the 1st and 99th percentiles reach the 50-year-standard risk level at ages 60 and 41, respectively. PPV of PSA was higher for men with higher PHS-adjusted age. Conclusions: PHS provides individualized estimates of risk-equivalent age for clinically significant prostate cancer. Screening initiation could be adjusted by a man's PHS. Impact: Personalized genetic risk assessments could inform prostate cancer screening decisions.

Abstract Aims: We sought to determine which echocardiographic markers of left ventricular (LV) remodeling and diastolic dysfunction can contribute as incremental and independent prognostic information in addition to current clinical risk markers of ischemic LV systolic dysfunction in the Surgical Treatment for Ischemic Heart Failure (STICH) trial.Methods and Results: The cohort consisted of 1511 of 2136 patients in STICH for whom baseline transmitral Doppler (E/A ratio) could be measured by an echocardiographic core laboratory blinded to treatment and outcomes, and prognostic value of echocardiographic variables was determined by a Cox regression model. E/A ratio was the most significant predictor of mortality amongst diastolic variables with lowest mortality for E/A closest 0.8, although mortality was consistently low for E/A 0.6 to 1.0. Mortality increased for E/A <0.6 and > 1.0 up to approximately 2.3, beyond which there was no further increase in risk. Larger LV end-systolic volume index (LVESVI) and E/A <0.6 and >1.0 had incremental negative effects on mortality when added to a clinical multivariable model, where creatinine, LVESVI, age, and E/A ratio accounted for 74% of the prognostic information for predicting risk. LVESVI and E/A ratio were stronger predictors of prognosis than New York Heart Association functional class, anemia, diabetes, history of atrial fibrillation, and stroke.Conclusions: Echocardiographic markers of advanced LV remodeling and diastolic dysfunction added incremental prognostic value to current clinical risk markers. LVESVI and E/A ratio outperformed other markers and should be considered as standard in assessing risks in ischemic heart failure. E/A closest to 0.8 was the most optimal filling pattern.

Abstract Aims: We sought to determine which echocardiographic markers of left ventricular (LV) remodeling and diastolic dysfunction can contribute as incremental and independent prognostic information in addition to current clinical risk markers of ischemic LV systolic dysfunction in the Surgical Treatment for Ischemic Heart Failure (STICH) trial.Methods and Results: The cohort consisted of 1511 of 2136 patients in STICH for whom baseline transmitral Doppler (E/A ratio) could be measured by an echocardiographic core laboratory blinded to treatment and outcomes, and prognostic value of echocardiographic variables was determined by a Cox regression model. E/A ratio was the most significant predictor of mortality amongst diastolic variables with lowest mortality for E/A closest 0.8, although mortality was consistently low for E/A 0.6 to 1.0. Mortality increased for E/A <0.6 and > 1.0 up to approximately 2.3, beyond which there was no further increase in risk. Larger LV end-systolic volume index (LVESVI) and E/A <0.6 and >1.0 had incremental negative effects on mortality when added to a clinical multivariable model, where creatinine, LVESVI, age, and E/A ratio accounted for 74% of the prognostic information for predicting risk. LVESVI and E/A ratio were stronger predictors of prognosis than New York Heart Association functional class, anemia, diabetes, history of atrial fibrillation, and stroke.Conclusions: Echocardiographic markers of advanced LV remodeling and diastolic dysfunction added incremental prognostic value to current clinical risk markers. LVESVI and E/A ratio outperformed other markers and should be considered as standard in assessing risks in ischemic heart failure. E/A closest to 0.8 was the most optimal filling pattern.

Abstract Introduction. Growing evidence suggests that immune cells that reside within the tumor microenvironment are dysregulated and functionally impaired, leading to defective anti-tumor immunity of the host. One of the major immunosuppressive mechanisms during tumor progression is expansion of regulatory immune cells. Here, we analyzed the immune cells within the bone marrow (BM) and the peripheral blood (PB) of 2 immunocompetent multiple myeloma (MM) mouse models. We next studied the role of regulatory T cells (Tregs) in MM pathogenesis. Materials and methods. To study the immune cell populations of the BM and PB, we used two immuncompetent mouse models and transplanted VK*MYC cells or 5TGM1 cells into C57BL/6 and C57BL/Kalwrij mice respectively. The immune cell populations and checkpoint receptor expressions were analyzed by CyTOF mass cytometer or flow-cytometry. Treg induction assay was performed in vitro to study the mechanism of Treg increase in the BM of myeloma injected mice. CD4+ CD25- cells were obtained from C57BL/Kalwrij mice and were co-cultured with 5TGM1 cells or B cells from C57BL/Kalwrij mice in vitro. Treg induction was compared by flow-cytometry. Transplantable VK*MYC cells were injected into "depletion of regulatory T cell" (DEREG) mice, which expresses a simian diphtheria toxin (DT) receptor-enhanced GFP fusion protein under the control of the FOXP3 gene locus, or their wild type littermates. DT injection into these mice leads to depletion of Tregs as previously described (J Exp Med. 2007; 204: 57-63). DT was given once every week for a total 3 times i.p to the DEREG mice or the littermate controls to specifically deplete Tregs and to study the role of Tregs during MM progression. Tregs (CD4+ FOXP3-GFP+ cells) were sorted from VK*MYC injected mice or non-injected DEREG mice BM using FACSAria cell sorter. Cells isolated were subjected to RNA sequencing. Gene Set Enrichment Analysis (GSEA) was performed to define differences in molecular signatures between MM-associated and normal Tregs. Results. The Treg proportion was significantly increased within the CD4+ T cells in the BM of myeloma cell injected mice from the early stage of disease compared to control mice, while in the PB, the increase was observed only at the late stages of disease progression. The effector T cell (Teff)/Treg ratio was significantly decreased in the BM at the end-stage myeloma bearing mice (P<0.01). Checkpoint related molecules (PD-1, LAG-3 and Tim-3) on Tregs and Teffs were up-regulated at the protein level in the BM of myeloma injected mice compared to control (P<0.01). These data indicate the activation of Tregs and decrease of Teff activity, leading to suppression of anti-myeloma T cell activity in the MM BM. Under in vitro co-culture conditions, 5TGM1 cells induced a significant increase in the number of Tregs from non-Treg CD4+ T cells compared to controls (P<0.01). 5TGM1 cell-induced Tregs presented with enhanced ki-67 expression, thus suggesting the ability of MM cells to induce Treg proliferation. Additionally, the trans-well co-culture experiment showed that the major mechanism for Treg induction by 5TGM1 was by direct contact with T cells rather than secreting factors. Significant increase in survival was observed in the VK*MYC injected DEREG mice under Treg depletion compared to the DEREG mice without Treg depletion and wild type littermates under DT treatment (P<0.001). The Treg depleted DEREG mice were accompanied with an increase of Teffs (P<0.01), indicating recovery of anti-myeloma T cell activity. RNA sequencing of BM Tregs from VK*MYC injected mice showed increased expression of immune checkpoint related molecules and increased Treg effector molecules (IL-10, Granzyme B) compared to BM Tregs from control mice, indicating a more functionally active phenotype of VK*MYC associated Tregs. GSEA showed an enrichment of genes involved in type-1 interferon signaling in VK*MYC associated Tregs. Conclusions. We used 2 immunocompetent MM mouse models to study the characterization and significance of Tregs in MM progression. CyTOF analysis and RNA sequencing data indicated Treg activation in the MM BM microenvironment. The Treg in vivo depletion experiment showed that Tregs have a significant role in MM progression. These data indicate that immunotherapy targeting Tregs may represent a novel therapeutic strategy for MM. Studies are ongoing to understand the roles of Tregs in human MM patients. Disclosures No relevant conflicts of interest to declare.

Abstract Introduction Myelofibrosis (MF) is a chronic myeloid neoplasm in which 75% of patients have anemia and 25% are erythrocyte transfusion-dependent (TD) (Emanuel et. al. JCO 2012). MF patients receiving chronic transfusions are at risk of multiple co-morbid conditions and iron overload may develop with potential for end-organ damage. Iron chelating therapies (ICTs) help eliminate iron surplus by binding with plasma iron to form a non-toxic conjugate that can be safely excreted from the body. The objective of this study was to examine transfusion patterns and incidence of MF-related complications in TD MF patients treated with vs. without ICT from a US managed care perspective. Methods Two commercial claims databases, Truven Health Analytics MarketScan (2000-2012) and PharMetrics Integrated Database (2001-2012) were used to address the study objectives. Patients with ≥2 MF ICD-9 diagnosis codes (238.76, 289.83) ≥30 days apart, ≥18 years at the time of the first observed diagnosis for MF, and ≥6 months of continuous enrollment prior to the first observed evidence of transfusion dependency (index date), defined as ≥3 transfusion events within any 3-month period, were included (modified Gale et al. Criteria). A transfusion event was defined as a unique day when ≥1 procedure code for packed red blood cells, whole blood, or exchange transfusion was recorded. Frequency of transfusions and time from first evidence of TD to initiation of ICT were analyzed. Incidence of MF-related complications was assessed using incidence rates (IR) and compared between TD patients with vs. without ICT using adjusted incidence rate ratios (aIRR), adjusting for baseline comorbidities and complications. Results Characteristics of MF patients receiving ICT: Of the 571 TD MF patients who met the inclusion criteria, 103 (18%) received ICT and 468 (82%) did not. Mean (SD) age was similar between the two groups (with ICT: 67.2 (10.4) vs. without ICT: 66.6 (11.7), p=0.65), but the proportion of men was higher in the ICT group (with ICT: 70.9% vs. without ICT: 58.3%, p=0.02). The mean (SD) observation time was longer for patients with ICT than without ICT (months, 22.2 [13.9] vs. 12.6 [11.6], p<0.001). A greater proportion of TD patients without ICT had a history of essential thrombocythemia (with ICT: 11.7% vs. without ICT: 20.9%), whereas the proportion of patients with prior polycythemia vera was similar between the two groups (with ICT: 11.7% vs. without ICT: 13.7%). Differences in TD MF patients by utilization of ICT: Overall, patients without ICT were generally more ill than those with ICT (Charlson Comorbidity Index [CCI], with ICT: 1.8 vs. without ICT: 2.3, p=0.01). The mean (SD) number of transfusion events per year was similar between the two groups with 22.4 (19.5) events/year in the group with ICT compared to 22.2 (28.5) events/year in the group without ICT (p=0.94). Among patients receiving ICT, therapy was initiated after a median time of 5.6 months following the first evidence of TD. TD patients with ICT had lower rates of thrombocytopenia (aIRR: 0.54; 95% confidence interval [CI]: 0.40-0.74) and pancytopenia (aIRR: 0.53; 95% CI: 0.37-0.76), but higher rates of anemia (aIRR: 1.61; 95% CI: 1.27-2.02). The incidence of other MF-related complications considered was similar between the two groups. Conclusion In this first analysis of the utilization of ICT amongst MF patients whom are TD we identified several important differences between those receiving ICT compared to those who do not. Whether these difference are a result of ICT, or a reflection of whether physician practice leads to ICT utilization in certain subsets of MF patients (i.e. those with less thrombocytopenia/leukopenia) could not be assessed with the current data. Potential short term and long term benefits of ICT in MF need to be validated in prospective clinical trials. Disclosures Vekeman: Novartis Pharmaceuticals: Research Funding. Cheng:Novartis Pharmaceuticals: Research Funding. Sasane:Novartis Pharmaceuticals: Employment. Huynh:Novartis Pharmaceuticals: Research Funding. Kaminsky:Novartis Pharmaceuticals: Research Funding. Duh:Novartis Pharmaceuticals: Research Funding. Paley:Novartis Pharmaceuticals: Employment. Mesa:Novartis Pharmaceuticals: Research Funding; Incyte Corporation: Research Funding; Gilead Sciences: Research Funding; CTI: Research Funding; Celgene: Research Funding; Genentech: Research Funding; NS Pharma: Research Funding; Lilly: Research Funding.

Abstract Background . Cell-free DNA (cfDNA) sequencing enables serial temporal sampling, which offers the possibility of following the dynamics of biomarkers and clonal evolution in Multiple Myeloma (MM) over time. The use of cfDNA in clinical practice as a molecular biomarker and for monitoring response/resistance is dependent on a comprehensive profile of matched cfDNA and tumor DNA (tDNA) samples. Here we performed Ultra-Low Pass Whole Genome Sequencing (ULP-WGS) followed by whole-exome sequencing (WES) and targeted deep sequencing of matched cfDNA/tDNA samples from MM patients. Methods. We performed next generation sequencing of matched cfDNA/tDNA samples for 63 patients with newly diagnosed or relapsed MM, SMM, or MGUS. Libraries were constructed using the Kappa Hyper kit and sequenced by ultra-low-pass whole-genome sequencing (ULP-WGS, 0.1x coverage) to quantify tumor fraction within cfDNA. WES was performed on 30 matched samples cfDNA/tDNA/germline DNA from 10 patients with more than 5% of tumor fraction. Libraries were hybridized to the Nextera Rapid Capture Exome kit (Illumina) and then sequenced on HiSeq 4000 (Illumina). Targeted deep sequencing was performed on 32 matched cfDNA/tDNA samples from 16 patients using the HaloPlex HS technology (Agilent), allowing for molecular barcoding. Libraries were constructed according to the manufacturer's instructions and sequenced on HiSeq 2500 (Illumina). Sequencing data were analyzed using the Firehose pipelines, including MuTect, ABSOLUTE, ReCapSeg, GISTIC and MutSig. Results. We first used a cost-effective approach to establish the tumor content of cfDNA in a large-scale manner by ULP-WGS. Among 63 tested samples (53 MM, 6 SMM and 4 MGUS patient samples), the tumor fraction within cfDNA ranged from 0 to 81% with a mean of 10%. About 43% of these samples had tumor fraction greater than 5% within cfDNA. To assess whether cfDNA can capture the genetic diversity of MM and inform clinical management, we performed WES of matched cfDNA/tDNA/germline DNA samples for 10 patients (mean target coverage 194x). Copy number alterations (CNAs) assessed by WES (ReCapSeg) were consistent between cfDNA and tumor DNA. Similarly, focal CNAs assessed by GISTIC were consistent between tDNA and cfDNA. We then examined the overlap of somatic single nucleotide variants (SSNVs) between WES of cfDNA and matched tDNA. We found, on average, 100% of the clonal and 96% of the subclonal (range 54-100%) SSNVs that were detected in the tumor were confirmed to be present in cfDNA. Similarly, for mutations detected in the cfDNA, we found, on average, 100% of the clonal and 99% of the subclonal (range 98-100%) SSNVs were confirmed in the tumor. To assess whether targeted deep sequencing of cfDNA could be a good proxy for tumor biopsy we used a targeted deep sequencing approach of known MM driver genes. Libraries were prepared using unique molecular barcodes to avoid duplication rates, for 32 matched cfDNA/tDNA samples from 16 patients with MM. The mean target coverage was 596x. We found similar frequencies of altered MM driver genes in both cfDNA and tDNA, including KRAS, NRAS, and TP53, indicating that cfDNA can be used for precision medicine. Conclusions. Our study demonstrates that both WES and targeted deep sequencing of cfDNA are consistently representative of tumor DNA alterations in terms of CNAs, focal CNAs and SSNVs. This approach could therefore be used to longitudinally follow clonal evolution across the course of the disease and precision medicine in patients with MM. Disclosures Palumbo: Takeda: Employment, Honoraria; Janssen Cilag: Honoraria. Kumar:Noxxon Pharma: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Research Funding; Kesios: Consultancy; Glycomimetics: Consultancy; BMS: Consultancy; Array BioPharma: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; AbbVie: Research Funding; Onyx: Consultancy, Research Funding. Roccaro:Takeda Pharmaceutical Company Limited: Honoraria. Facon:Amgen: Consultancy, Speakers Bureau; Novartis: Consultancy; Janssen: Consultancy, Speakers Bureau; Bristol: Consultancy; Millenium/Takeda: Consultancy; Celgene: Consultancy, Speakers Bureau; Karyopharm: Consultancy. Ghobrial:Celgene: Honoraria, Research Funding; BMS: Honoraria, Research Funding; Noxxon: Honoraria; Novartis: Honoraria; Takeda: Honoraria; Amgen: Honoraria.

Abstract In multiple myeloma (MM), despite well-characterized precursor states such as monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM), there is a lack of sufficient biomarkers to predict disease progression. Most genomic analyses have studied the malignant plasma cells, however, cancers form a complex ecosystem with the immune and stromal microenvironment. To characterize the cellular composition and transcriptional programs of each component of the tumor and microenvironment at different stages of MM progression, we employed single-cell RNA sequencing on 48K plasma and 40.8K immune microenvironmental cells from a cohort of 22 patients with varying stages of disease progression and 9 healthy donors. Expression profiles of plasma cells revealed clear tumor-specific differences in known oncogenic drivers in MM (MMSET/FGFR3, CCND1 and MAFB) as well as other clonally expressed genes (LAMP5, HIST1H1C, and AREG), distinguishing them from healthy plasma cells. We identified a subset of cycling plasma cells in malignant samples, observing a range of proliferative capacity across disease stages. Furthermore, our approach allowed a unique head-to-head comparison of gene expression changes in normal and malignant plasma cells from the same individual, revealing early alterations in genes related to immune modulation (NKBIA) or controlling transcription and differentiation (EID1). Some alterations were patient-specific, while others, such as MHC I overexpression and CD27 loss, were recurrently observed across subsets of the cohort. Analysis of the BM microenvironment demonstrated significant infiltration of natural killer cells, non-classical monocytes/macrophages, and T cells, even in the earliest stages of the disease. Further investigation revealed upregulation of MHC II expression at the mRNA level in CD14+ monocytes/macrophages and yet, intriguingly, analysis by CyTOF and immunohistochemistry revealed a shift towards intracellular localization of MHC II in these cells. Co-culture with MM cell lines was sufficient to induce the decrease of extracellular MHC II, providing strong evidence for MM-induced compromised antigen presentation by macrophages, and hinting at a mechanism of immune evasion. Together, our results provide a comprehensive view at the complex interplay of the immune and malignant cells in different stages of the disease. We demonstrate the immune response beginning in premalignant conditions to be heterogeneous, including compromised antigen presentation as well as alterations in cellular composition and signaling. Consideration of the type of immunological response may prove valuable in determination of progression risk, as well as open up potential strategies for therapy. Citation Format: Nicholas J. Haradhvala, Oksana Zavidij, Tarek H. Mouhieddine, Romanos Sklavenitis-Pistofidis, Jihye Park, Mairead Reidy, Abdallah Flaifel, Benjamin Ferland, Salomon Manier, Mark Bustoros, Daisy Huynh, Marzia Capelletti, Brianna Berrios, Mahshid Rahmat, Chia-Jen Liu, Meng Xiao He, Esteban Braggio, Rafael Fonseca, Yosef Maruvka, Jennifer Guerriero, Melissa Goldman, Eliezer Van Allen, Steven McCarroll, Jamil Azzi, Gad Getz, Irene M. Ghobrial. Single-cell RNA sequencing reveals compromised immune microenvironment in precursor stages of multiple myeloma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 139.