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Meniscal injuries have posed a challenging problem for many years, especially considering that historically the meniscus was considered to be a structure with no important role in the knee joint. This led to earlier treatments aiming at the removal of the entire structure in a procedure known as a meniscectomy. However, with the current understanding of the function and roles of the meniscus, meniscectomy has been identified to accelerate joint degradation significantly and is no longer a preferred treatment option in meniscal tears. Current therapies are now focused to regenerate, repair, or replace the injured meniscus to restore its native function. Repairs have improved in technique and materials over time, with various implant devices being utilized and developed. More recently, strategies have applied stem cells, tissue engineering, and their combination to potentiate healing to achieve superior quality repair tissue and retard the joint degeneration associated with an injured or inadequately functioning meniscus. Accordingly, the purpose of this current review is to summarize the current available pre-clinical and clinical literature using stem cells and tissue engineering for meniscal repair and regeneration.

Abstract Background Although 20 pancreatic cancer susceptibility loci have been identified through genome-wide association studies in individuals of European ancestry, much of its heritability remains unexplained and the genes responsible largely unknown. Methods To discover novel pancreatic cancer risk loci and possible causal genes, we performed a pancreatic cancer transcriptome-wide association study in Europeans using three approaches: FUSION, MetaXcan, and Summary-MulTiXcan. We integrated genome-wide association studies summary statistics from 9040 pancreatic cancer cases and 12 496 controls, with gene expression prediction models built using transcriptome data from histologically normal pancreatic tissue samples (NCI Laboratory of Translational Genomics [n = 95] and Genotype-Tissue Expression v7 [n = 174] datasets) and data from 48 different tissues (Genotype-Tissue Expression v7, n = 74–421 samples). Results We identified 25 genes whose genetically predicted expression was statistically significantly associated with pancreatic cancer risk (false discovery rate < .05), including 14 candidate genes at 11 novel loci (1p36.12: CELA3B; 9q31.1: SMC2, SMC2-AS1; 10q23.31: RP11-80H5.9; 12q13.13: SMUG1; 14q32.33: BTBD6; 15q23: HEXA; 15q26.1: RCCD1; 17q12: PNMT, CDK12, PGAP3; 17q22: SUPT4H1; 18q11.22: RP11-888D10.3; and 19p13.11: PGPEP1) and 11 at six known risk loci (5p15.33: TERT, CLPTM1L, ZDHHC11B; 7p14.1: INHBA; 9q34.2: ABO; 13q12.2: PDX1; 13q22.1: KLF5; and 16q23.1: WDR59, CFDP1, BCAR1, TMEM170A). The association for 12 of these genes (CELA3B, SMC2, and PNMT at novel risk loci and TERT, CLPTM1L, INHBA, ABO, PDX1, KLF5, WDR59, CFDP1, and BCAR1 at known loci) remained statistically significant after Bonferroni correction. Conclusions By integrating gene expression and genotype data, we identified novel pancreatic cancer risk loci and candidate functional genes that warrant further investigation.

Background Detecting significant coronary artery disease (CAD) in the general population is complex and relies on combined assessment of traditional CAD risk factors and noninvasive testing. We hypothesized that a CAD‐specific heart rate variability (HRV) algorithm can be used to improve detection of subclinical or early ischemia in patients without known CAD. Methods and Results Between 2014 and 2018 we prospectively enrolled 1043 patients with low to intermediate pretest probability for CAD who were screened for myocardial ischemia in tertiary medical centers in the United States and Israel. Patients underwent 1‐hour Holter testing, with immediate HRV analysis using the HeartTrends DyDx algorithm, followed by exercise stress echocardiography (n=612) or exercise myocardial perfusion imaging (n=431). The threshold for low HRV was identified using receiver operating characteristic analysis based on sensitivity and specificity. The primary end point was the presence of myocardial ischemia detected by exercise stress echocardiography or exercise myocardial perfusion imaging. The mean age of patients was 61 years and 38% were women. Myocardial ischemia was detected in 66 (6.3%) patients. After adjustment for CAD risk factors and exercise stress testing results, low HRV was independently associated with a significant 2‐fold increased likelihood for myocardial ischemia (odds ratio, 2.00; 95% CI, 1.41–2.89 [ P =0.01]). Adding HRV to traditional CAD risk factors significantly improved the pretest probability for myocardial ischemia. Conclusions Our data from a large prospective international clinical study show that short‐term HRV testing can be used as a novel digital‐health modality for enhanced risk assessment in low‐ to intermediate‐risk individuals without known CAD. Clinical Trial Registration URL: http://www.ClinicalTrials.gov . Unique identifiers: NCT01657006, NCT02201017).

Background: Laparoendoscopic single site surgery (LESS) is feasible for more complex procedure types, but the technical challenges and learning curve posed by LESS makes traditional multi-incision laparoscopy still the preferred technique. The aims of this study were to understand the restricted mobility and positional requirements of these more complex procedures and to generate innovative instrument designs to overcome these restrictions. Methods: A two-phase study was conducted where three lightly-embalmed (fresh tissue) cadavers were utilized to estimate in vivo mobility restriction and positional requirements. These data were combined to quantifying instrument force and positional requirements to develop a novel design for a LESS-specific grasper. Results: The LESS-specific has an ergonomic curved axial handle and locking mechanism that enables surgeons to relax their grip without the grasper releasing. Conclusion: Further design adaptations are needed to optimize the size, angles, and curvature of the tool, as well as to add two points of articulation for rapid intracorporeal adjustment.

AbstractImportanceIt is critical to develop a better understanding of the strategies provider organizations use to improve the performance of frontline clinicians and whether ACO participation is associated with differential adoption of these tools.ObjectivesCharacterize the strategies that physician practices use to improve clinician performance and determine their association with ACOs and other payment reforms.Data SourcesThe National Survey of Healthcare Organizations and the National Survey of ACOs fielded 2017‐2018 (response rates = 47 percent and 48 percent).Study DesignDescriptive analysis for practices participating and not participating in ACOs among 2190 physician practice respondents. Linear regressions to examine characteristics associated with counts of performance domains for which a practice used data for feedback, quality improvement, or physician compensation as dependent variables. Logistic and fractional regression to examine characteristics associated with use of peer comparison and shares of primary care and specialist compensation accounted for by performance bonuses, respectively.Principal FindingsACO‐affiliated practices feed back clinician‐level information and use it for quality improvement and compensation on more performance domains than non‐ACO‐affiliated practices. Performance measures contribute little to physician compensation irrespective of ACO participation.ConclusionACO‐affiliated practices are using more performance improvement strategies than other practices, but base only a small fraction of compensation on quality or cost.

Abstract Background: Novel therapies are required to improve the outcome of patients with AML. New agents are asked to demonstrate an overall survival (OS) benefit before qualifying for FDA approval. The long duration of clinical trials required in order to achieve this endpoint hampers quick evaluation of candidate therapies, including novel agents. Identification of reliable surrogate endpoints for OS in AML is needed. Here we compare the results of therapy for patients with untreated AML ages 16-60 years on the Eastern Cooperative Oncology Group 1900 trial (E1900) of induction chemotherapy followed by consolidation and autologous transplant in order to evaluate the validity of an event free survival (EFS) endpoint as a surrogate for OS. Methods:OS was measured from randomization for induction therapy to death from any cause (censored at last contact). EFS was measured from randomization to induction treatment failure, relapse after compete response (CR), or death in remission (censored at last contact). Hazard ratios (HR) were computed using Cox proportional hazards models. The association between EFS and OS was evaluated using the Kendall tau-a rank correlation for censored data. Results:There were657 patients enrolled of which 426 patients relapsed or had induction treatment failure before death or date of last contact. Median EFS and OS were 8.0 months (95% CI, 6.3 to 9.7 months) and 23.6 months (95% CI, 16.9 to 23.6 months), respectively. With a median follow-up of 80.1 months, there is a statistically significant correlation between EFS and OS (Kendall tau-a = 0.467, 95% confidence interval (CI) = (0.425, 0.510), p<0.001). This correlation was similarly significant at a median follow-up of 25.2 months (Kendall tau-a = 0.361, 95% CI (0.323, 0.400), p <0.001) when the E1900 trial was originally reported (Fernandez et al. NEJM 2009). Key findings reported based on the original OS endpoint are similar when analyzed with an EFS endpoint (Table 1). High-dose daunorubicin (90 mg/m2) (DNR 90) confers both an EFS and OS benefit in patients aged < 50 years and patients with intermediate cytogenetic risk, and does not confer an EFS or OS benefit in older patients and patients with unfavorable cytogenetic risk, on univariate analysis. Divergent results are only seen in the small subset of favorable cytogenetic risk patients, where DNR 90 conferred an OS benefit (p=0.027) without an EFS benefit (p=0.32). Both EFS and OS endpoints consistently reflect the impact of mutation status on survival. The presence of a FLT3-ITD or DNMT3A mutation has a negative impact on both EFS and OS while an IDH2 mutation has a favorable impact on EFS and OS. The presence of a NPM1 mutation confers a favorable impact on EFS and OS in patients who received DNR 90 and did not impact EFS or OS in patients receiving standard-dose daunorubicin (45 mg/m2) (DNR 45). The presence of an IDH1 mutation does not impact EFS or OS. Conclusions:The results of E1900 demonstrating superiority of DNR 90 in AML induction in patients up to age 60 are concordant when using an EFS or OS endpoint. This is true for the group as a whole as well as for subgroups for which targeted agents are in development (FLT3/IDH2 inhibitors). Further investigation of whether EFS is a reliable surrogate for OS is warranted in AML. If confirmed, its use as a primary endpoint could be adopted by regulatory agencies in order to allow more rapid completion of clinical trials in AML and bring new therapies to AML patients in a timely fashion. Table 1. Results of E1900 based on an EFS endpoint versus an OS endpoint. Subgroup N OS HR (DNR 90/DNR 45) & 95% CI Wald P EFS HR (DNR 90/DNR 45) & 95% CI Wald P DNR 45 DNR 90 Age < 50 yrs ³ 50 yrs 188 142 172 155 0.66 (0.50, 0.85) 0.81 (0.62, 1.06) 0.002 0.118 0.64 (0.50, 0.82) 0.86 (0.67, 1.10) 0.0004 0.23 Cytogenetic Favorable Intermediate Unfavorable 38 141 59 51 127 63 0.51 (0.28, 0.93) 0.68 (0.50, 0.92) 0.79 (0.54, 1.16) 0.027 0.012 0.225 0.76 (0.44, 1.31) 0.63 (0.47, 0.83) 0.72 (0.49, 1.05) 0.32 0.001 0.09 Subgroup N OS HR (MUT/WT) & 95% CI Wald P EFS HR (MUT/WT) & 95% CI Wald P FLT3-ITD WT MUT 456 147 1.62 (1.31, 2.01) <.0001 1.48 (1.21, 1.82) 0.0002 DNMT3A WT MUT 371 119 1.30 (1.03, 1.65) 0.03 1.23 (0.98, 1.54) 0.07 IDH1 WT MUT 465 36 0.88 (0.59, 1.33) 0.55 0.91 (0.62, 1.34) 0.64 IDH2 WT MUT 451 50 0.63 (0.43, 0.93) 0.02 0.68 (0.48, 0.97) 0.03 NPM1 DNR 45 DNR 90 245 257 0.84 (0.61, 1.16) 0.60 (0.41, 0.89) 0.30 0.01 0.90 (0.66, 1.22) 0.59 (0.41, 0.84) 0.49 0.004 Disclosures No relevant conflicts of interest to declare.

Abstract The UKALLXII/ECOG2993 international study for adults with acute lymphoblastic leukeamia (ALL) included a separate, single-arm study (still open) to evaluate the role of etoposide/TBI conditioned allogeneic bone marrow transplantation (BMT) in patients with Philadelphia chromosome positive (Ph pos) disease. Patients received 2 phases of induction, intensification with high dose methotrexate and BMT using unrelated donor stem cells where a matched sibling was not available. 267 patients with Ph pos ALL were treated from 1993 onwards, in the pre-imatinib era. The study was amended in 2003 to add imatinib 600mg per day following induction and after BMT for 2 years or until relapse. A subsequent amendment at the end of 2005, added imatinib 600mg per day also to phase 2 of induction. 153 patients have now been treated on the imatinib-containing protocol − 89 received imatinib following induction and 64 started imatinib with phase 2 induction. Complete remission (CR) rate at the end of 2 phases of induction was 91% with imatinib started in induction, 81% with imatinib started in consolidation only & 83% in the pre imatinib era. 128 of the 153 patients treated with any imatinib were eligible for BMT. Of the 98 patients with over 6 months follow-up, 57 (58%) actually received BMT. This transplant rate does not differ from the 62% in the pre-imatinib era although the data pertain mostly to those whose imatinib started later during therapy. Overall survival of the imatinib-treated group as a whole is 23% at 3 years, which does not differ from the 26% pre-imatinib rate as shown in the figure. Hence, imatinib started post-induction does not appear to improve survival. Imatinib given with induction may improve the CR rate, but there is insufficient follow up to assess transplant or survival rates. Earlier imatinib may be optimal but overall, our study does not provide evidence yet that imatinib alters the outcome of this disease. Figure Figure Patient characteristics Pre-imatinib (N=267) Post-imatinib (N=153) Gender: Male 150 (56%) 96 (63%) WBC (x 10 ^9/l) (2 unknown): <30 141(53%) 86 (56%) ≥ 30 124 (47%) 67 (44%) Median (range) 26.8 (1.5–438) 21.0 (0.5–491) Age: median (range) 40 (15–60) 42 (16–64) CNS disease (82 unknown) 14 (8%) 4 (3%)

Abstract INTRODUCTION: mTOR inhibitors have been associated with responses in Mantle cell lymphoma and other lymphomas (J Clin Oncol23; 5347, 2005). Phase I and II trials with the oral everolimus (RAD001, Novartis Pharmaceuticals) have demonstrated a favorable side effect profile. This phase II study tested everolimus in patients with relapsed/refractory Waldenstrom Macroglobulinemia (WM). METHODS: Patients who had at least one previous therapy for WM and who had relapsed or refractory disease were eligible. Other eligibility criteria included symptomatic disease, > 2 weeks from last therapeutic agent used, >10% involvement with lymphoplasmacytic cells in the bone marrow, IgM paraprotein > 2x upper limit of normal, absolute neutrophil count >1000/mm3 and platelet count >75,000/mm3, serum creatinine of < 2 x upper limit of normal. NCI CTCAE v3.0 was used for toxicity assessment. Response was assessed by criteria established at the second consensus panel for WM. All patients received 10mg RAD001 daily for 28 days per cycle for 6 cycles; response was assessed after 2 cycles. RESULTS: 10pts (8 men and 2 women, median age is 62 years, range 52–71) have been treated to date. The median number of lines of prior treatment was 3 (range 1 – 5). The median IgM at baseline was 3970 mg/dL (range 3120– 7410); median M-spike at baseline was 2.07 gm/dL (range 1.41 – 4.02); and median hemoglobin was 11.3 g/dL (9.4–13.3). The median follow up was 4 months (range 1 – 7 months). Prior therapy included rituximab, nucleoside analogues (fludarabine and 2-CDA), combination chemotherapy (e.g CHOP, CVP), chlorambucil. and bortezomib. Seven patients are currently evaluable for response. The best response to single agent RAD001 after 2 cycles is presented in Table 1. Median duration of response has not been reached. Patients tolerated RAD001 well without significant toxicities. The main toxicities observed were apthous ulcers in 4 patients. One patient required dose reduction due to mucositis. One patient stopped therapy within the first month of treatment and went on to hospice care before succumbing to his disease after one month. Attributable toxicities otherwise proved manageable with appropriate supportive care and RAD001 was generally well tolerated, with no peripheral neuropathy. CONCLUSIONS: Oral RAD001 as monotherapy has been well tolerated and demonstrates exciting activity achieving PR + MR in 57%, and/or stabilization of disease in 43% of evaluable patients with relapsed WM. Accrual of a total of 30 patients is rapidly ongoing. Updated data will be presented at the meeting. Table 1 Response N=7; ORR (CR+PR+MR)= 57% Median time to best response (months) Partial Response 1 (14%) 5 Minimal Response 3 (43%) 4 (3–6) Stable Disease (SD) 3 (43%) NA Progressive Disease 0

Introduction. Acquired severe aplastic anemia (SAA) is a life-threatening disorder characterized by severe progressive pancytopenia and hypocellular bone marrow. The etiology of acquired SAA is not understood but believed to be related to abnormal immune responses to environmental exposures. We conducted a genome-wide association study (GWAS) to identify common germline variants associated with SAA. Methods. We identified 895 patients with SAA who underwent related or unrelated hematopoietic cell transplant (HCT) with clinical data and pre-HCT blood samples available in the Center for International Blood and Marrow Transplant Research (CIBMTR) database and biorepository. Pre-HCT DNA was extracted from blood of patients with SAA and genome-wide genotyping was conducted using the Illumina OmniExpress array. We excluded 93 inherited bone marrow failure cases. The SAA cases were grouped cases into discovery and validation sets based on time of batch sample receipt. Analyses were limited to patients of European ancestry based on principal component analyses to minimize the potential effect of population stratification. Controls were genomically matched and selected from previously scanned cancer-free subjects at the Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, NCI. The final analysis included 534 acquired SAA cases (359 in the discovery set and 175 in the validation set), and 2,455 controls (1,396 in the discovery set, and 1,059 in the validation set). Results. Patients with SAA in this study received HCT between 1989-2015 at a median age of 21 years, 56% were male, and the median time between SAA diagnosis and HCT was 11 months. Strong genome-wide association signals were identified across the human leukocyte antigen (HLA) genes encoded at the major histocompatibility complex (MHC) on chromosome 6p21 (Figure 1). The top SNP was located in the P4 binding pocket of the HLA class II gene HLA-DPB1(rs1042151A>G, p.Met105Val, pooled-odds ratio [OR]=1.75, 95% confidence interval [CI]=1.50-2.03, p=1.94x10-13). The expression of HLA-DP in CD19+ cells from 175 healthy donors was significantly different by rs1042151 A>G genotype (p=2.04x10-6) (Figure 2). A second SNP near HLA-B, rs28367832G>A, also reached genome-wide significance (pooled-OR=1.49, 95% CI=1.22-1.78, p=7.27x10-9). Copy-number variant analysis and next generation sequencing also identified somatic, clonal copy-neutral loss-of-heterozygosity affecting class I HLA genes in 8.6% of the SAA cases and none of the controls. Conclusion. This SAA GWAS identified strong association signals between common germline genetic variants in HLA class I and II genes and SAA. The main SNP is associated with changes in HLA-DP expression suggesting a key role for this locus in SAA etiology. This study adds further evidence to the connection between SAA and immune dysregulation. Disclosures Cerhan: Janssen: Membership on an entity's Board of Directors or advisory committees; NanoString: Research Funding; Celgene: Research Funding. Lee:Incyte: Research Funding; Syndax: Research Funding; Amgen: Research Funding; Novartis: Research Funding; Takeda: Research Funding; Kadmon: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; AstraZeneca: Research Funding.