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Seattle Cancer Care Alliance

HealthcareSeattle, Washington, United States
About: Seattle Cancer Care Alliance is a healthcare organization based out in Seattle, Washington, United States. It is known for research contribution in the topics: Transplantation & Cancer. The organization has 728 authors who have published 1268 publications receiving 70663 citations.


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Journal ArticleDOI
TL;DR: A droplet-based system that enables 3′ mRNA counting of tens of thousands of single cells per sample is described and sequence variation in the transcriptome data is used to determine host and donor chimerism at single-cell resolution from bone marrow mononuclear cells isolated from transplant patients.
Abstract: Characterizing the transcriptome of individual cells is fundamental to understanding complex biological systems. We describe a droplet-based system that enables 3′ mRNA counting of tens of thousands of single cells per sample. Cell encapsulation, of up to 8 samples at a time, takes place in ∼6 min, with ∼50% cell capture efficiency. To demonstrate the system’s technical performance, we collected transcriptome data from ∼250k single cells across 29 samples. We validated the sensitivity of the system and its ability to detect rare populations using cell lines and synthetic RNAs. We profiled 68k peripheral blood mononuclear cells to demonstrate the system’s ability to characterize large immune populations. Finally, we used sequence variation in the transcriptome data to determine host and donor chimerism at single-cell resolution from bone marrow mononuclear cells isolated from transplant patients. Single-cell gene expression analysis is challenging. This work describes a new droplet-based single cell RNA-seq platform capable of processing tens of thousands of cells across 8 independent samples in minutes, and demonstrates cellular subtypes and host–donor chimerism in transplant patients.

4,219 citations

Journal ArticleDOI
Timothy J. Ley1, Christopher A. Miller1, Li Ding1, Benjamin J. Raphael2, Andrew J. Mungall3, Gordon Robertson3, Katherine A. Hoadley4, Timothy J. Triche5, Peter W. Laird5, Jack Baty1, Lucinda Fulton1, Robert S. Fulton1, Sharon Heath1, Joelle Kalicki-Veizer1, Cyriac Kandoth1, Jeffery M. Klco1, Daniel C. Koboldt1, Krishna L. Kanchi1, Shashikant Kulkarni1, Tamara Lamprecht1, David E. Larson1, G. Lin1, Charles Lu1, Michael D. McLellan1, Joshua F. McMichael1, Jacqueline E. Payton1, Heather Schmidt1, David H. Spencer1, Michael H. Tomasson1, John W. Wallis1, Lukas D. Wartman1, Mark A. Watson1, John S. Welch1, Michael C. Wendl1, Adrian Ally3, Miruna Balasundaram3, Inanc Birol3, Yaron S.N. Butterfield3, Readman Chiu3, Andy Chu3, Eric Chuah3, Hye Jung E. Chun3, Richard Corbett3, Noreen Dhalla3, Ranabir Guin3, An He3, Carrie Hirst3, Martin Hirst3, Robert A. Holt3, Steven J.M. Jones3, Aly Karsan3, Darlene Lee3, Haiyan I. Li3, Marco A. Marra3, Michael Mayo3, Richard A. Moore3, Karen Mungall3, Jeremy Parker3, Erin Pleasance3, Patrick Plettner3, Jacquie Schein3, Dominik Stoll3, Lucas Swanson3, Angela Tam3, Nina Thiessen3, Richard Varhol3, Natasja Wye3, Yongjun Zhao3, Stacey Gabriel6, Gad Getz6, Carrie Sougnez6, Lihua Zou6, Mark D.M. Leiserson2, Fabio Vandin2, Hsin-Ta Wu2, Frederick Applebaum7, Stephen B. Baylin8, Rehan Akbani9, Bradley M. Broom9, Ken Chen9, Thomas C. Motter9, Khanh Thi-Thuy Nguyen9, John N. Weinstein9, Nianziang Zhang9, Martin L. Ferguson, Christopher Adams10, Aaron D. Black10, Jay Bowen10, Julie M. Gastier-Foster10, Thomas Grossman10, Tara M. Lichtenberg10, Lisa Wise10, Tanja Davidsen11, John A. Demchok11, Kenna R. Mills Shaw11, Margi Sheth11, Heidi J. Sofia, Liming Yang11, James R. Downing, Greg Eley, Shelley Alonso12, Brenda Ayala12, Julien Baboud12, Mark Backus12, Sean P. Barletta12, Dominique L. Berton12, Anna L. Chu12, Stanley Girshik12, Mark A. Jensen12, Ari B. Kahn12, Prachi Kothiyal12, Matthew C. Nicholls12, Todd Pihl12, David Pot12, Rohini Raman12, Rashmi N. Sanbhadti12, Eric E. Snyder12, Deepak Srinivasan12, Jessica Walton12, Yunhu Wan12, Zhining Wang12, Jean Pierre J. Issa13, Michelle M. Le Beau14, Martin Carroll15, Hagop M. Kantarjian, Steven M. Kornblau, Moiz S. Bootwalla5, Phillip H. Lai5, Hui Shen5, David Van Den Berg5, Daniel J. Weisenberger5, Daniel C. Link1, Matthew J. Walter1, Bradley A. Ozenberger11, Elaine R. Mardis1, Peter Westervelt1, Timothy A. Graubert1, John F. DiPersio1, Richard K. Wilson1 
TL;DR: It is found that a complex interplay of genetic events contributes to AML pathogenesis in individual patients and the databases from this study are widely available to serve as a foundation for further investigations of AMl pathogenesis, classification, and risk stratification.
Abstract: BACKGROUND—Many mutations that contribute to the pathogenesis of acute myeloid leukemia (AML) are undefined The relationships between patterns of mutations and epigenetic phenotypes are not yet clear METHODS—We analyzed the genomes of 200 clinically annotated adult cases of de novo AML, using either whole-genome sequencing (50 cases) or whole-exome sequencing (150 cases), along with RNA and microRNA sequencing and DNA-methylation analysis RESULTS—AML genomes have fewer mutations than most other adult cancers, with an average of only 13 mutations found in genes Of these, an average of 5 are in genes that are recurrently mutated in AML A total of 23 genes were significantly mutated, and another 237 were mutated in two or more samples Nearly all samples had at least 1 nonsynonymous mutation in one of nine categories of genes that are almost certainly relevant for pathogenesis, including transcriptionfactor fusions (18% of cases), the gene encoding nucleophosmin (NPM1) (27%), tumorsuppressor genes (16%), DNA-methylation–related genes (44%), signaling genes (59%), chromatin-modifying genes (30%), myeloid transcription-factor genes (22%), cohesin-complex genes (13%), and spliceosome-complex genes (14%) Patterns of cooperation and mutual exclusivity suggested strong biologic relationships among several of the genes and categories CONCLUSIONS—We identified at least one potential driver mutation in nearly all AML samples and found that a complex interplay of genetic events contributes to AML pathogenesis in individual patients The databases from this study are widely available to serve as a foundation for further investigations of AML pathogenesis, classification, and risk stratification (Funded by the National Institutes of Health) The molecular pathogenesis of acute myeloid leukemia (AML) has been studied with the use of cytogenetic analysis for more than three decades Recurrent chromosomal structural variations are well established as diagnostic and prognostic markers, suggesting that acquired genetic abnormalities (ie, somatic mutations) have an essential role in pathogenesis 1,2 However, nearly 50% of AML samples have a normal karyotype, and many of these genomes lack structural abnormalities, even when assessed with high-density comparative genomic hybridization or single-nucleotide polymorphism (SNP) arrays 3-5 (see Glossary) Targeted sequencing has identified recurrent mutations in FLT3, NPM1, KIT, CEBPA, and TET2 6-8 Massively parallel sequencing enabled the discovery of recurrent mutations in DNMT3A 9,10 and IDH1 11 Recent studies have shown that many patients with

3,980 citations

Journal ArticleDOI
TL;DR: The Eighth Edition of the JCA Special Issue seeks to continue to serve as a key resource that guides the utilization of TA in the treatment of human disease.
Abstract: The American Society for Apheresis (ASFA) Journal of Clinical Apheresis (JCA) Special Issue Writing Committee is charged with reviewing, updating, and categorizing indications for the evidence-based use of therapeutic apheresis in human disease. Since the 2007 JCA Special Issue (Fourth Edition), the Committee has incorporated systematic review and evidence-based approaches in the grading and categorization of apheresis indications. This Seventh Edition of the JCA Special Issue continues to maintain this methodology and rigor to make recommendations on the use of apheresis in a wide variety of diseases/conditions. The JCA Seventh Edition, like its predecessor, has consistently applied the category and grading system definitions in the fact sheets. The general layout and concept of a fact sheet that was used since the fourth edition has largely been maintained in this edition. Each fact sheet succinctly summarizes the evidence for the use of therapeutic apheresis in a specific disease entity. The Seventh Edition discusses 87 fact sheets (14 new fact sheets since the Sixth Edition) for therapeutic apheresis diseases and medical conditions, with 179 indications, which are separately graded and categorized within the listed fact sheets. Several diseases that are Category IV which have been described in detail in previous editions and do not have significant new evidence since the last publication are summarized in a separate table. The Seventh Edition of the JCA Special Issue serves as a key resource that guides the utilization of therapeutic apheresis in the treatment of human disease. J. Clin. Apheresis 31:149-162, 2016. © 2016 Wiley Periodicals, Inc.

1,691 citations

Journal ArticleDOI
TL;DR: In this article, a double-blind, placebo-controlled, phase 3 trial was conducted to evaluate the effect of bevacizumab and paclitaxel on progression-free survival in patients with stage III or stage IV epithelial ovarian cancer.
Abstract: METHODS In our double-blind, placebo-controlled, phase 3 trial, we randomly assigned eligible patients with newly diagnosed stage III (incompletely resectable) or stage IV epithelial ovarian cancer who had undergone debulking surgery to receive one of three treatments All three included chemotherapy consisting of intravenous paclitaxel at a dose of 175 mg per square meter of body-surface area, plus carboplatin at an area under the curve of 6, for cycles 1 through 6, plus a study treatment for cycles 2 through 22, each cycle of 3 weeks’ duration The control treatment was chemotherapy with placebo added in cycles 2 through 22; bevacizumab-initiation treatment was che motherapy with bevacizumab (15 mg per kilogram of body weight) added in cycles 2 through 6 and placebo added in cycles 7 through 22 Bevacizumab-throughout treatment was chemotherapy with bevacizumab added in cycles 2 through 22 The primary end point was progression-free survival RESULTS Overall, 1873 women were enrolled The median progression-free survival was 103 months in the control group, 112 in the bevacizumab-initiation group, and 141 in the bevacizumab-throughout group Relative to control treatment, the hazard ratio for progression or death was 0908 (95% confidence interval [CI], 0795 to 1040; P = 016) with bevacizumab initiation and 0717 (95% CI, 0625 to 0824; P<0001) with bevacizumab throughout At the time of analysis, 763% of patients were alive, with no significant differences in overall survival among the three groups The rate of hypertension requiring medical therapy was higher in the bevacizumab-initiation group (165%) and the bevacizumab-throughout group (229%) than in the control group (72%) Gastrointestinal-wall disruption requiring medical intervention occurred in 12%, 28%, and 26% of patients in the control group, the bevacizumab-initiation group, and the bevacizumab-throughout group, respectively CONCLUSIONS The use of bevacizumab during and up to 10 months after carboplatin and pacli taxel chemotherapy prolongs the median progression-free survival by about 4 months in patients with advanced epithelial ovarian cancer (Funded by the National Cancer Institute and Genentech; ClinicalTrialsgov number, NCT00262847)

1,552 citations


Authors

Showing all 735 results

NameH-indexPapersCitations
Frederick R. Appelbaum12767766632
Gary H. Lyman10869452469
Elihu H. Estey10366743416
Michael Boeckh10043935180
Peter S. Nelson9642547923
David G. Maloney9549137057
Stephanie J. Lee9257343888
John A. Hansen8941128468
Jerald P. Radich8841237725
H. Joachim Deeg8645829932
David C. Dale8540624613
Barry E. Storer8539428713
Oliver W. Press8042423103
Brenda M. Sandmaier7943428049
Celestia S. Higano7842338785
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
202213
2021105
2020118
2019146
201899