Institution
Fred Hutchinson Cancer Research Center
Nonprofit•Cape 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.
Topics: Population, Transplantation, Cancer, Breast cancer, Prostate cancer
Papers published on a yearly basis
Papers
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TL;DR: It is shown that CAR-T-cell products generated from defined T-cell subsets can provide uniform potency compared with products derived from unselected T cells that vary in phenotypic composition.
Abstract: Adoptive T-cell therapy with gene-modified T cells expressing a tumor-reactive T-cell receptor or chimeric antigen receptor (CAR) is a rapidly growing field of translational medicine and has shown success in the treatment of B-cell malignancies and solid tumors. In all reported trials, patients have received T-cell products comprising random compositions of CD4(+) and CD8(+) naive and memory T cells, meaning that each patient received a different therapeutic agent. This variation may have influenced the efficacy of T-cell therapy, and complicates comparison of outcomes between different patients and across trials. We analyzed CD19 CAR-expressing effector T cells derived from different subsets (CD4(+)/CD8(+) naive, central memory, effector memory). T cells derived from each of the subsets were efficiently transduced and expanded, but showed clear differences in effector function and proliferation in vitro and in vivo. Combining the most potent CD4(+) and CD8(+) CAR-expressing subsets, resulted in synergistic antitumor effects in vivo. We show that CAR-T-cell products generated from defined T-cell subsets can provide uniform potency compared with products derived from unselected T cells that vary in phenotypic composition. These findings have important implications for the formulation of T-cell products for adoptive therapies.
581 citations
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TL;DR: The goal of this paper is to review the major cytokines involved in cancer immunotherapy and discuss their basic biology and clinical applications, and describe new cytokines in pre-clinical development, combinations of biological agents, novel delivery mechanisms, and potential directions for future investigation using cytokines.
Abstract: Cytokines are molecular messengers that allow the cells of the immune system to communicate with one another to generate a coordinated, robust, but self-limited response to a target antigen. The growing interest over the past two decades in harnessing the immune system to eradicate cancer has been accompanied by heightened efforts to characterize cytokines and exploit their vast signaling networks to develop cancer treatments. The goal of this paper is to review the major cytokines involved in cancer immunotherapy and discuss their basic biology and clinical applications. The paper will also describe new cytokines in pre-clinical development, combinations of biological agents, novel delivery mechanisms, and potential directions for future investigation using cytokines.
580 citations
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TL;DR: This work presents an approach to leverage phylogenetic analysis of metagenomic sequence data to conduct phylogeny-driven Bayesian hypothesis tests for the presence of an organism in a sample and applies new tools to analyze the phylogenetic diversity of microbial communities.
Abstract: Like all organisms on the planet, environmental microbes are subject to the forces of molecular evolution. Metagenomic sequencing provides a means to access the DNA sequence of uncultured microbes. By combining DNA sequencing of microbial communities with evolutionary modeling and phylogenetic analysis we might obtain new insights into microbiology and also provide a basis for practical tools such as forensic pathogen detection. In this work we present an approach to leverage phylogenetic analysis of metagenomic sequence data to conduct several types of analysis. First, we present a method to conduct phylogeny-driven Bayesian hypothesis tests for the presence of an organism in a sample. Second, we present a means to compare community structure across a collection of many samples and develop direct associations between the abundance of certain organisms and sample metadata. Third, we apply new tools to analyze the phylogenetic diversity of microbial communities and again demonstrate how this can be associated to sample metadata. These analyses are implemented in an open source software pipeline called PhyloSift. As a pipeline, PhyloSift incorporates several other programs including LAST, HMMER, and pplacer to automate phylogenetic analysis of protein coding and RNA sequences in metagenomic datasets generated by modern sequencing platforms (e.g., Illumina, 454).
580 citations
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Memorial Sloan Kettering Cancer Center1, University Hospitals of Cleveland2, Washington University in St. Louis3, University of Utah4, Duke University5, University of Wisconsin-Madison6, Harvard University7, Moffitt Cancer Center8, Vanderbilt University9, Stanford University10, Johns Hopkins University11, University of Tennessee Health Science Center12, Mayo Clinic13, Fox Chase Cancer Center14, University of Texas MD Anderson Cancer Center15, Brigham and Women's Hospital16, Roswell Park Cancer Institute17, University of Colorado Boulder18, City of Hope National Medical Center19, University of California, San Diego20, Northwestern University21, Ohio State University22, Fred Hutchinson Cancer Research Center23, University of Pennsylvania24, University of Michigan25, University of California, San Francisco26, National Comprehensive Cancer Network27
TL;DR: The NCCN Guidelines for Head and Neck Cancers as mentioned in this paper describe supportive care recommendations for patients with H&N cancers and the rationale supporting a new section on imaging recommendations for head and neck cancers.
Abstract: Treatment is complex for patients with head and neck (H&N) cancers with specific site of disease, stage, and pathologic findings guiding treatment decision-making. Treatment planning for H&N cancers involves a multidisciplinary team of experts. This article describes supportive care recommendations in the NCCN Guidelines for Head and Neck Cancers, as well as the rationale supporting a new section on imaging recommendations for patients with H&N cancers. This article also describes updates to treatment recommendations for patients with very advanced H&N cancers and salivary gland tumors, specifically systemic therapy recommendations.
580 citations
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TL;DR: Using statistical approaches applied to HIV-1 sequence data from central Africa, it is shown that from the 1920s Kinshasa was the focus of early transmission and the source of pre-1960 pandemic viruses elsewhere.
Abstract: Thirty years after the discovery of HIV-1, the early transmission, dissemination, and establishment of the virus in human populations remain unclear. Using statistical approaches applied to HIV-1 sequence data from central Africa, we show that from the 1920s Kinshasa (in what is now the Democratic Republic of Congo) was the focus of early transmission and the source of pre-1960 pandemic viruses elsewhere. Location and dating estimates were validated using the earliest HIV-1 archival sample, also from Kinshasa. The epidemic histories of HIV-1 group M and nonpandemic group O were similar until ~1960, after which group M underwent an epidemiological transition and outpaced regional population growth. Our results reconstruct the early dynamics of HIV-1 and emphasize the role of social changes and transport networks in the establishment of this virus in human populations.
580 citations
Authors
Showing all 12368 results
Name | H-index | Papers | Citations |
---|---|---|---|
Walter C. Willett | 334 | 2399 | 413322 |
Robert Langer | 281 | 2324 | 326306 |
Meir J. Stampfer | 277 | 1414 | 283776 |
JoAnn E. Manson | 270 | 1819 | 258509 |
David J. Hunter | 213 | 1836 | 207050 |
Peer Bork | 206 | 697 | 245427 |
Eric Boerwinkle | 183 | 1321 | 170971 |
Ruedi Aebersold | 182 | 879 | 141881 |
Bruce M. Psaty | 181 | 1205 | 138244 |
Aaron R. Folsom | 181 | 1118 | 134044 |
David Baker | 173 | 1226 | 109377 |
Frederick W. Alt | 171 | 577 | 95573 |
Lily Yeh Jan | 162 | 467 | 73655 |
Yuh Nung Jan | 162 | 460 | 74818 |
Charles N. Serhan | 158 | 728 | 84810 |