Medicine and Health Sciences Commons^™

Initial Management Of Meningiomas: Analysis Of The National Cancer Database, Catherine R. Garcia, Stacey A. Slone, Monica Chau, Janna H. Neltner, Thomas A. Pittman, John L. Villano

Neurology Faculty Publications

BACKGROUND: Meningiomas are the most common central nervous system tumor. We describe current trends in treatment and survival using the largest cancer dataset in the United States.

METHODS: We analyzed the National Cancer Database from 2004 to 2014, for all patients with diagnosis of meningioma.

RESULTS: 201,765 cases were analyzed. Patients were most commonly White (81.9%) females (73.2%) with a median age of 64 years. Fifty percent of patients were diagnosed by imaging. Patients were reported as grade I (24.9%), grade II (5.0%), grade III (0.7%), or unknown WHO grade (69.4%). Patients diagnosed by imaging were older, received treatment in …

Abcb1 Snp Predicts Outcome In Patients With Acute Myeloid Leukemia Treated With Gemtuzumab Ozogamicin: A Report From Children's Oncology Group Aaml0531 Trial., Roya Rafiee, Lata Chauhan, Todd A. Alonzo, Yi-Cheng Wang, Ahlam Elmasry, Michael R. Loken, Jessica Pollard, Richard Aplenc, Susana Raimondi, Betsy A. Hirsch, Irwin D. Bernstein, A S. Gamis, Soheil Meshinchi, Jatinder K. Lamba

Manuscripts, Articles, Book Chapters and Other Papers

Gemtuzumab-ozogamicin (GO), a humanized-anti-CD33 antibody linked with the toxin-calicheamicin-γ is a reemerging and promising drug for AML. Calicheamicin a key element of GO, induces DNA-damage and cell-death once the linked CD33-antibody facilitates its uptake. Calicheamicin efflux by the drug-transporter PgP-1 have been implicated in GO response thus in this study, we evaluated impact of ABCB1-SNPs on GO response. Genomic-DNA samples from 942 patients randomized to receive standard therapy with or without addition of GO (COG-AAML0531) were genotyped for ABCB1-SNPs. Our most interesting results show that for rs1045642, patients with minor-T-allele (CT/TT) had better outcome as compared to patients with CC …

Tisagenlecleucel Model-Based Cellular Kinetic Analysis Of Chimeric Antigen Receptor-T Cells., Andrew M. Stein, Stephan A. Grupp, John E. Levine, Theodore W. Laetsch, Michael A. Pulsipher, Michael W. Boyer, Keith August, Bruce L. Levine, Lori Tomassian, Sweta Shah, Mimi Leung, Pai-Hsi Huang, Rakesh Awasthi, Karen Thudium Mueller, Patricia A. Wood, Carl H. June

Manuscripts, Articles, Book Chapters and Other Papers

Tisagenlecleucel is a chimeric antigen receptor-T cell therapy that facilitates the killing of CD19+ B cells. A model was developed for the kinetics of tisagenlecleucel and the impact of therapies for treating cytokine release syndrome (tocilizumab and corticosteroids) on expansion. Data from two phase II studies in pediatric and young adult relapsed/refractory B cell acute lymphoblastic leukemia were pooled to evaluate this model and evaluate extrinsic and intrinsic factors that may impact the extent of tisagenlecleucel expansion. The doubling time, initial decline half-life, and terminal half-life for tisagenlecleucel were 0.78, 4.3, and 220 days, respectively. No impact of tocilizumab or …

Inotuzumab Ozogamicin In Pediatric Patients With Relapsed/Refractory Acute Lymphoblastic Leukemia., Deepa Bhojwani, Richard Sposto, Nirali N. Shah, Vilmarie Rodriguez, Constance Yuan, Maryalice Stetler-Stevenson, Maureen M. O'Brien, Jennifer L. Mcneer, Amrana Quereshi, Aurelie Cabannes, Paul Schlegel, Claudia Rossig, Luciano Dalla-Pozza, Keith August, Sarah Alexander, Jean-Pierre Bourquin, Michel Zwaan, Elizabeth A. Raetz, Mignon L. Loh, Susan R. Rheingold

Manuscripts, Articles, Book Chapters and Other Papers

Although inotuzumab ozogamicin (InO) is recognized as an effective agent in relapsed acute lymphoblastic leukemia (ALL) in adults, data on safety and efficacy in pediatric patients are scarce. We report the use of InO in 51 children with relapsed/refractory ALL treated in the compassionate use program. In this heavily pretreated cohort, complete remission was achieved in 67% of patients with overt marrow disease. The majority (71%) of responders were negative for minimal residual disease. Responses were observed irrespective of cytogenetic subtype or number or type of prior treatment regimens. InO was well-tolerated; grade 3 hepatic transaminitis or hyperbilirubinemia were noted …

Human Islet Response To Selected Type 1 Diabetes-Associated Bacteria: A Transcriptome-Based Study, Ahmed M. Abdellatif, Heather Jensen Smith, Robert Z. Harms, Nora Sarvetnick

Journal Articles: Eppley Institute

Type 1 diabetes (T1D) is a chronic autoimmune disease that results from destruction of pancreatic β-cells. T1D subjects were recently shown to harbor distinct intestinal microbiome profiles. Based on these findings, the role of gut bacteria in T1D is being intensively investigated. The mechanism connecting intestinal microbial homeostasis with the development of T1D is unknown. Specific gut bacteria such as Bacteroides dorei (BD) and Ruminococcus gnavus (RG) show markedly increased abundance prior to the development of autoimmunity. One hypothesis is that these bacteria might traverse the damaged gut barrier, and their constituents elicit a response from human islets that causes …

Genomic Prediction Of Relapse In Recipients Of Allogeneic Haematopoietic Stem Cell Transplantation., J Ritari, K Hyvärinen, S Koskela, M Itälä-Remes, R Niittyvuopio, A Nihtinen, U Salmenniemi, M Putkonen, L Volin, T Kwan, T Pastinen, J Partanen

Manuscripts, Articles, Book Chapters and Other Papers

Allogeneic haematopoietic stem cell transplantation currently represents the primary potentially curative treatment for cancers of the blood and bone marrow. While relapse occurs in approximately 30% of patients, few risk-modifying genetic variants have been identified. The present study evaluates the predictive potential of patient genetics on relapse risk in a genome-wide manner. We studied 151 graft recipients with HLA-matched sibling donors by sequencing the whole-exome, active immunoregulatory regions, and the full MHC region. To assess the predictive capability and contributions of SNPs and INDELs, we employed machine learning and a feature selection approach in a cross-validation framework to discover the …