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Fred Hutchinson Cancer Research Center

NonprofitCape Town, South Africa
About: Fred Hutchinson Cancer Research Center is a nonprofit organization based out in Cape Town, South Africa. It is known for research contribution in the topics: Population & Transplantation. The organization has 12322 authors who have published 30954 publications receiving 2288772 citations. The organization is also known as: Fred Hutch & The Hutch.


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Journal ArticleDOI
TL;DR: CD19 CAR-T cells are highly effective in high-risk patients with CLL after they experience treatment failure with ibrutinib therapy, and absence of the malignant IGH clone in marrow of patients who responded by IWCLL criteria was associated with 100% progression-free survival and overall survival.
Abstract: PurposeWe evaluated the safety and feasibility of anti-CD19 chimeric antigen receptor–modified T (CAR-T) cell therapy in patients with chronic lymphocytic leukemia (CLL) who had previously received ibrutinib.MethodsTwenty-four patients with CLL received lymphodepleting chemotherapy and anti-CD19 CAR-T cells at one of three dose levels (2 × 105, 2 × 106, or 2 × 107 CAR-T cells/kg). Nineteen patients experienced disease progression while receiving ibrutinib, three were ibrutinib intolerant, and two did not experience progression while receiving ibrutinib. Six patients were venetoclax refractory, and 23 had a complex karyotype and/or 17p deletion.ResultsFour weeks after CAR-T cell infusion, the overall response rate (complete response [CR] and/or partial response [PR]) by International Workshop on Chronic Lymphocytic Leukemia (IWCLL) criteria was 71% (17 of 24). Twenty patients (83%) developed cytokine release syndrome, and eight (33%) developed neurotoxicity, which was reversible in all but one patient with...

510 citations

Journal ArticleDOI
TL;DR: Epigenetic aging rates are significantly associated with sex, race/ethnicity, and to a lesser extent with CHD risk factors, but not with incident CHD outcomes.
Abstract: Epigenetic biomarkers of aging (the “epigenetic clock”) have the potential to address puzzling findings surrounding mortality rates and incidence of cardio-metabolic disease such as: (1) women consistently exhibiting lower mortality than men despite having higher levels of morbidity; (2) racial/ethnic groups having different mortality rates even after adjusting for socioeconomic differences; (3) the black/white mortality cross-over effect in late adulthood; and (4) Hispanics in the United States having a longer life expectancy than Caucasians despite having a higher burden of traditional cardio-metabolic risk factors. We analyzed blood, saliva, and brain samples from seven different racial/ethnic groups. We assessed the intrinsic epigenetic age acceleration of blood (independent of blood cell counts) and the extrinsic epigenetic aging rates of blood (dependent on blood cell counts and tracks the age of the immune system). In blood, Hispanics and Tsimane Amerindians have lower intrinsic but higher extrinsic epigenetic aging rates than Caucasians. African-Americans have lower extrinsic epigenetic aging rates than Caucasians and Hispanics but no differences were found for the intrinsic measure. Men have higher epigenetic aging rates than women in blood, saliva, and brain tissue. Epigenetic aging rates are significantly associated with sex, race/ethnicity, and to a lesser extent with CHD risk factors, but not with incident CHD outcomes. These results may help elucidate lower than expected mortality rates observed in Hispanics, older African-Americans, and women.

510 citations

Journal ArticleDOI
TL;DR: A genome‐wide array‐based comparative genomic hybridization (array CGH) survey of CNAs in 89 breast tumors from a patient cohort with locally advanced disease links distinct cytoband loci harboring CNAs to specific clinicopathological parameters, including tumor grade, estrogen receptor status, presence of TP53 mutation, and overall survival.
Abstract: Breast cancer is a leading cause of cancer-death among women, where the clinicopathological features of tumors are used to prognosticate and guide therapy. DNA copy number alterations (CNAs), which occur frequently in breast cancer and define key pathogenetic events, are also potentially useful prognostic or predictive factors. Here, we report a genome-wide array-based comparative genomic hybridization (array CGH) survey of CNAs in 89 breast tumors from a patient cohort with locally advanced disease. Statistical analysis links distinct cytoband loci harboring CNAs to specific clinicopathological parameters, including tumor grade, estrogen receptor status, presence of TP53 mutation, and overall survival. Notably, distinct spectra of CNAs also underlie the different subtypes of breast cancer recently defined by expression-profiling, implying these subtypes develop along distinct genetic pathways. In addition, higher numbers of gains/losses are associated with the "basal-like" tumor subtype, while high-level DNA amplification is more frequent in "luminal-B" subtype tumors, suggesting also that distinct mechanisms of genomic instability might underlie their pathogenesis. The identified CNAs may provide a basis for improved patient prognostication, as well as a starting point to define important genes to further our understanding of the pathobiology of breast cancer. This article contains Supplementary Material available at http://www.interscience.wiley.com/jpages/1045-2257/suppmat

509 citations

Journal ArticleDOI
Gloria M. Petersen1, Laufey T. Amundadottir2, Charles S. Fuchs3, Peter Kraft3, Rachael Z. Stolzenberg-Solomon2, Kevin B. Jacobs4, Kevin B. Jacobs2, Alan A. Arslan5, H. Bas Bueno-de-Mesquita6, Steven Gallinger7, Myron D. Gross8, Kathy J. Helzlsouer9, Elizabeth A. Holly10, Eric J. Jacobs11, Alison P. Klein12, Andrea Z. LaCroix13, Donghui Li14, Margaret T. Mandelson13, Sara H. Olson14, Harvey A. Risch15, Wei Zheng16, Demetrius Albanes2, William R. Bamlet1, Christine D. Berg2, Marie-Christine Boutron-Ruault17, Julie E. Buring3, Paige M. Bracci10, Federico Canzian18, Sandra Clipp12, Michelle Cotterchio7, Mariza de Andrade1, Eric J. Duell, J. Michael Gaziano19, J. Michael Gaziano3, Edward Giovannucci3, Michael Goggins12, Göran Hallmans20, Susan E. Hankinson3, Manal Hassan14, Barbara V. Howard21, David J. Hunter3, Amy K. Hutchinson2, Amy K. Hutchinson4, Mazda Jenab, Rudolf Kaaks18, Charles Kooperberg13, Vittorio Krogh, Robert C. Kurtz22, Shannon M. Lynch2, Robert R. McWilliams1, Julie B. Mendelsohn2, Dominique S. Michaud3, Dominique S. Michaud22, Hemang Parikh2, Alpa V. Patel11, Petra H.M. Peeters6, Petra H.M. Peeters22, Aleksandar Rajkovic23, Elio Riboli24, Laudina Rodríguez, Daniela Seminara2, Xiao-Ou Shu16, Gilles Thomas25, Gilles Thomas2, Anne Tjønneland, Geoffrey S. Tobias2, Dimitrios Trichopoulos3, Dimitrios Trichopoulos26, Stephen K. Van Den Eeden27, Jarmo Virtamo28, Jean Wactawski-Wende29, Zhaoming Wang2, Zhaoming Wang4, Brian M. Wolpin3, Herbert Yu15, Kai Yu2, Anne Zeleniuch-Jacquotte5, Joseph F. Fraumeni2, Robert N. Hoover2, Patricia Hartge2, Stephen J. Chanock22, Stephen J. Chanock2, Stephen J. Chanock30 
TL;DR: This paper conducted a genome-wide association study of pancreatic cancer in 3,851 affected individuals (cases) and 3,934 unaffected controls drawn from 12 prospective cohort studies and 8 case-control studies and identified eight SNPs that map to three loci on chromosomes 13q22.1, 1q32.1 and 5p15.33.
Abstract: We conducted a genome-wide association study of pancreatic cancer in 3,851 affected individuals (cases) and 3,934 unaffected controls drawn from 12 prospective cohort studies and 8 case-control studies. Based on a logistic regression model for genotype trend effect that was adjusted for study, age, sex, self-described ancestry and five principal components, we identified eight SNPs that map to three loci on chromosomes 13q22.1, 1q32.1 and 5p15.33. Two correlated SNPs, rs9543325 (P = 3.27 x 10(-11), per-allele odds ratio (OR) 1.26, 95% CI 1.18-1.35) and rs9564966 (P = 5.86 x 10(-8), per-allele OR 1.21, 95% CI 1.13-1.30), map to a nongenic region on chromosome 13q22.1. Five SNPs on 1q32.1 map to NR5A2, and the strongest signal was at rs3790844 (P = 2.45 x 10(-10), per-allele OR 0.77, 95% CI 0.71-0.84). A single SNP, rs401681 (P = 3.66 x 10(-7), per-allele OR 1.19, 95% CI 1.11-1.27), maps to the CLPTM1L-TERT locus on 5p15.33, which is associated with multiple cancers. Our study has identified common susceptibility loci for pancreatic cancer that warrant follow-up studies.

509 citations

Journal ArticleDOI
TL;DR: This work found 33 miRNAs expressed in CD34+ hematopoietic stem-progenitor cells (HSPCs) from normal human bone marrow and mobilized human peripheral blood stem cell harvests, and formulated a model for miRNA control of stages of heMatopoiesis in which many of the genes specifying hematopolietic differentiation are expressed by HSPCs, but are held in check by miRNAAs until differentiation occurs.
Abstract: MicroRNAs (miRNAs) are a recently identified class of epigenetic elements consisting of small noncoding RNAs that bind to the 3′ untranslated region of mRNAs and down-regulate their translation to protein. miRNAs play critical roles in many different cellular processes including metabolism, apoptosis, differentiation, and development. We found 33 miRNAs expressed in CD34+ hematopoietic stem-progenitor cells (HSPCs) from normal human bone marrow and mobilized human peripheral blood stem cell harvests. We then combined these data with human HSPC mRNA expression data and with miRNA-mRNA target predictions, into a previously undescribed miRNA:mRNA interaction database called the Transcriptome Interaction Database. The in silico predictions from the Transcriptome Interaction Database pointed to miRNA control of hematopoietic differentiation through translational control of mRNAs critical to hematopoiesis. From these predictions, we formulated a model for miRNA control of stages of hematopoiesis in which many of the genes specifying hematopoietic differentiation are expressed by HSPCs, but are held in check by miRNAs until differentiation occurs. We validated miRNA control of several of these target mRNAs by demonstrating that their translation in fact is decreased by miRNAs. Finally, we chose miRNA-155 for functional characterization in hematopoiesis, because we predicted that it would control both myelopoiesis and erythropoiesis. As predicted, miRNA-155 transduction greatly reduced both myeloid and erythroid colony formation of normal human HSPCs.

508 citations


Authors

Showing all 12368 results

NameH-indexPapersCitations
Walter C. Willett3342399413322
Robert Langer2812324326306
Meir J. Stampfer2771414283776
JoAnn E. Manson2701819258509
David J. Hunter2131836207050
Peer Bork206697245427
Eric Boerwinkle1831321170971
Ruedi Aebersold182879141881
Bruce M. Psaty1811205138244
Aaron R. Folsom1811118134044
David Baker1731226109377
Frederick W. Alt17157795573
Lily Yeh Jan16246773655
Yuh Nung Jan16246074818
Charles N. Serhan15872884810
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20237
202275
20211,981
20201,995
20191,685
20181,571