sj-eps-2-jet-10.1177_15266028231195771 – Supplemental material for The Impact of Proximal Neck Anatomy on the 5-Year Outcomes Following Endovascular Aortic Aneurysm Repair With the Ovation Stent Graft

Supplemental material, sj-eps-2-jet-10.1177_15266028231195771 for The Impact of Proximal Neck Anatomy on the 5-Year Outcomes Following Endovascular Aortic Aneurysm Repair With the Ovation Stent Graft by Rens R. B. Varkevisser, Priya B. Patel, Nicholas J. Swerdlow, Chun Li, Vinamr Rastogi, Hence J. M. Verhagen, Sean P. Lyden and Marc L. Schermerhorn in Journal of Endovascular Therap

Common and overlapping oncogenic pathways contribute to the evolution of acute myeloid leukemias

In this report we demonstrate that the ability to alter self-renewal in vitro and in vivo is a more generalized property of leukemia-associated oncogenes. We further demonstrate that disparate leukemia-associated oncogenes initiate early common and overlapping transformation and self-renewal gene expression programs to mediate these effects. Furthermore, elements of these programs can be detected in established leukemia stem cells from an animal model and across a large cohort of patients with differing acute myeloid leukemia (AML) subtypes, where they strongly predict for disease biology. Finally, individual genes from the programs are demonstrated to partially phenocopy the leukemia-associated oncogenes and themselves alter self-renewal in committed murine progenitors and generate AML when expressed in murine bone marrow. A total of 253 RNA samples derived from adult AML patients were provided by the German Austrian AML Study Group (AMLSG) [AMLSG trials AML HD98A (ClinicalTrials.gov Identifier: NCT00146120), and AML HD98B (Schlenk et al., 2009)]. Conventional cytogenetic banding, and FLT3, CEBPA and NPM1 mutational analysis were performed as previously described (Schlenk et al., N Engl J Med 2008). Detailed clinical, cytogenetic and molecular cytogenetic information are also provided in Table S3 along with the publication. Following enrichment, all samples contained at least 80% leukemic cells. Gene expression profiling (GEP) was performed as previously described (Bullinger et al., N Engl J Med 2004). Separate filtering and batch centering were performed for the group of 253 Samples (relative to GSE16432). Filtered data presented as a supplementary file at the foot of this record

Common and overlapping oncogenic pathways contribute to the evolution of acute myeloid leukemias

In this report we demonstrate that the ability to alter self-renewal in vitro and in vivo is a more generalized property of leukemia-associated oncogenes. We further demonstrate that disparate leukemia-associated oncogenes initiate early common and overlapping transformation and self-renewal gene expression programs to mediate these effects. Furthermore, elements of these programs can be detected in established leukemia stem cells from an animal model and across a large cohort of patients with differing acute myeloid leukemia (AML) subtypes, where they strongly predict for disease biology. Finally, individual genes from the programs are demonstrated to partially phenocopy the leukemia-associated oncogenes and themselves alter self-renewal in committed murine progenitors and generate AML when expressed in murine bone marrow. A total of 253 RNA samples derived from adult AML patients were provided by the German Austrian AML Study Group (AMLSG) [AMLSG trials AML HD98A (ClinicalTrials.gov Identifier: NCT00146120), and AML HD98B (Schlenk et al., 2009)]. Conventional cytogenetic banding, and FLT3, CEBPA and NPM1 mutational analysis were performed as previously described (Schlenk et al., N Engl J Med 2008). Detailed clinical, cytogenetic and molecular cytogenetic information are also provided in Table S3 along with the publication. Following enrichment, all samples contained at least 80% leukemic cells. Gene expression profiling (GEP) was performed as previously described (Bullinger et al., N Engl J Med 2004). Separate filtering and batch centering were performed for the group of 253 Samples (relative to GSE16432). Filtered data presented as a supplementary file at the foot of this record

Predicting Health Utilities for Children With Autism Spectrum Disorders

Comparative effectiveness of interventions for children with autism spectrum disorders (ASDs) that incorporates costs is lacking due to the scarcity of information on health utility scores or preference-weighted outcomes typically used for calculating quality-adjusted life years (QALYs). This study created algorithms for mapping clinical and behavioral measures for children with ASDs to health utility scores. The algorithms could be useful for estimating the value of different interventions and treatments used in the care of children with ASDs. Participants were recruited from two Autism Treatment Network sites. Health utility data based on the Health Utilities Index Mark 3 (HUI3) for the child were obtained from the primary caregiver (proxy-reported) through a survey (N = 224). During the initial clinic visit, proxy-reported measures of the Child Behavior Checklist, Vineland II Adaptive Behavior Scales, and the Pediatric Quality of Life Inventory 4.0 (start measures) were obtained and then merged with the survey data. Nine mapping algorithms were developed using the HUI3 scores as dependent variables in ordinary least squares regressions along with the start measures, the Autism Diagnostic Observation Schedule, to measure severity, child age, and cognitive ability as independent predictors. In-sample cross-validation was conducted to evaluate predictive accuracy. Multiple imputation techniques were used for missing data. The average age for children with ASDs in this study was 8.4 (standard deviation = 3.5) years. Almost half of the children (47%) had cognitive impairment (IQ < 70). Total scores for all of the outcome measures were significantly associated with the HUI3 score. The algorithms can be applied to clinical studies containing start measures of children with ASDs to predict QALYs gained from interventions

Transcription profiling of human pretreatment glucocortocoid sensitive and resistant primary leukaemias

Drug resistance remains a major obstacle to successful cancer treatment. Here we use a novel approach to identify rapamycin as a glucocorticoid resistance reversal agent. A database of drug-associated gene expression profiles was screened for molecules whose profile overlapped with a gene expression signature of glucocorticoid (GC) sensitivity/resistance in Acute Lymphoblastic Leukemia (ALL) cells. The screen indicated the mTOR inhibitor rapamycin profile matched the signature of GC-sensitivity. We thus tested the hypothesis that rapamycin would induce GC sensitivity in lymphoid malignancy cells, and found that it sensitized cells to glucocorticoid induced apoptosis via modulation of antiapoptotic MCL1. These data indicate that MCL1 is an important regulator of GC-induced apoptosis, and that the combination of rapamycin and glucocorticoids has potential utility in ALL. Furthermore this approach represents a novel strategy for identification of promising combination therapies for cancer. Experiment Overall Design: primary acute lymphoblastic leukemia samples were determined to be sensitive or resistant to in vitro treatment with glucocorticoids. Samples were then hybrized to affymetrix microarray

Transcription profiling of human CEM_C1 cells after rapamycin treatment of 24 hours

Drug resistance remains a major obstacle to successful cancer treatment. Here we use a novel approach to identify rapamycin as a glucocorticoid resistance reversal agent. A database of drug-associated gene expression profiles was screened for molecules whose profile overlapped with a gene expression signature of glucocorticoid (GC) sensitivity/resistance in Acute Lymphoblastic Leukemia (ALL) cells. The screen indicated the mTOR inhibitor rapamycin profile matched the signature of GC-sensitivity. We thus tested the hypothesis that rapamycin would induce GC sensitivity in lymphoid malignancy cells, and found that it sensitized cells to glucocorticoid induced apoptosis via modulation of antiapoptotic MCL1. These data indicate that MCL1 is an important regulator of GC-induced apoptosis, and that the combination of rapamycin and glucocorticoids has potential utility in ALL. Furthermore this approach represents a novel strategy for identification of promising combination therapies for cancer. Experiment Overall Design: CEM-C1 cells were treated with 10 nM rapamycin or DMSO and harvested for microarray analysis at 24 hour

Sox4 is a key oncogenic target in C/EBPα mutant Acute Myeloid Leukemia

Accession Number: GSE45430 Platform: GPL1261: [Mouse430_2] Affymetrix Mouse Genome 430 2.0 Array Organism: Mus musculus Published on 2013-03-23 Summary: Mutation or epigenetic silencing of the transcription factor C/EBPα is observed in ~10% of patients with acute myeloid leukemia (AML). In both cases, a common global gene expression profile is observed, but down-stream targets relevant for leukemogenesis are not known. Here we identify Sox4 as a direct target of C/EBPα whereby its expression is inversely correlated with C/EBPα activity. Downregulation of Sox4 abrogated increased self-renewal of leukemic cells and restored their differentiation. Gene expression profiles of leukemia initiating cells (LICs) from both Sox4 overexpression and murine mutant C/EBPα AML models clustered together, but differed from other types of AML. Our data demonstrate that Sox4 overexpression resulting from C/EBPα inactivation contributes to the development of leukemias with a distinct LIC phenotype. Overall Design: K/L (bi-allelic Cebpa mutations) leukemic mice and Sox4 overexprssing leukemic mice were used for RNA extraction and hybridization on Affymetrix microarrays. We compared these microarray samples with the C57/BL6 wild type mice. Contact: Name: Henry Yang Organization: Cancer Science Institute of Singapore Address: 28 Medical Drive Singapore Singapore Email: [email protected] Organization: Affymetrix, Inc. Address: Santa Clara CA 95051 USA Email: [email protected], [email protected] Phone: 888-362-2447 Web-Link: http://www.affymetrix.com/index.aff

Transcription profiling of human CEM-C1 cells treate with rapamycin for 3 hours

Drug resistance remains a major obstacle to successful cancer treatment. Here we use a novel approach to identify rapamycin as a glucocorticoid resistance reversal agent. A database of drug-associated gene expression profiles was screened for molecules whose profile overlapped with a gene expression signature of glucocorticoid (GC) sensitivity/resistance in Acute Lymphoblastic Leukemia (ALL) cells. The screen indicated the mTOR inhibitor rapamycin profile matched the signature of GC-sensitivity. We thus tested the hypothesis that rapamycin would induce GC sensitivity in lymphoid malignancy cells, and found that it sensitized cells to glucocorticoid induced apoptosis via modulation of antiapoptotic MCL1. These data indicate that MCL1 is an important regulator of GC-induced apoptosis, and that the combination of rapamycin and glucocorticoids has potential utility in ALL. Furthermore this approach represents a novel strategy for identification of promising combination therapies for cancer. Experiment Overall Design: CEM-C1 cells were treated with 10 nM rapamycin for 3 hours and compared to DMSO treated cell