Author
David C. Rice
Other affiliations: Carolinas Healthcare System, Mayo Clinic
Bio: David C. Rice is an academic researcher from University of Texas MD Anderson Cancer Center. The author has contributed to research in topics: Lung cancer & Mesothelioma. The author has an hindex of 59, co-authored 311 publications receiving 13618 citations. Previous affiliations of David C. Rice include Carolinas Healthcare System & Mayo Clinic.
Topics: Lung cancer, Mesothelioma, Hazard ratio, Survival rate, Esophagectomy
Papers published on a yearly basis
Papers
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Imperial College London1, University of Barcelona2, Keio University3, University of Duisburg-Essen4, Queen's University5, Peter MacCallum Cancer Centre6, University of Michigan7, University of São Paulo8, Yale University9, Northern General Hospital10, University of Caen Lower Normandy11, Fred Hutchinson Cancer Research Center12, University of Oxford13, Memorial Sloan Kettering Cancer Center14, University of Sydney15, Sungkyunkwan University16, Seoul National University17, Kyorin University18, University of Copenhagen19, Nippon Medical School20, Katholieke Universiteit Leuven21, University of Texas MD Anderson Cancer Center22, University of Antwerp23, Hyogo College of Medicine24, University of Western Australia25, Glenfield Hospital26, Cleveland Clinic27, Icahn School of Medicine at Mount Sinai28, University of Turin29, Université libre de Bruxelles30, Juntendo University31, National Cancer Research Institute32, Mayo Clinic33, University of Toronto34, Sinai Grace Hospital35, Netherlands Cancer Institute36, Hiroshima University37, City of Hope National Medical Center38, University of Chicago39, New York University40, Georgetown University41, University of Tokushima42, University of Pisa43, Osaka University44, University of Valencia45, Good Samaritan Hospital46, Military Medical Academy47, Fundación Favaloro48, Autonomous University of Barcelona49, Complutense University of Madrid50, University of Oviedo51, National and Kapodistrian University of Athens52, Rovira i Virgili University53, Autonomous University of Madrid54, Ghent University55
TL;DR: The methods used to evaluate the resultant Stage groupings and the proposals put forward for the 8th edition of the TNM Classification for lung cancer due to be published late 2016 are described.
2,826 citations
TL;DR: Molecular similarities among histologically or anatomically related cancer types provide a basis for focused pan-cancer analyses, such as pan-gastrointestinal, Pan-gynecological, pan-kidney, and pan-squamous cancers, and those related by stemness features, which may inform strategies for future therapeutic development.
1,535 citations
TL;DR: The genomic and phenotypic correlates of cancer aneuploidy are defined and genome engineering is applied to delete 3p in lung cells, causing decreased proliferation rescued in part by chromosome 3 duplication.
660 citations
Memorial Sloan Kettering Cancer Center1, Keio University2, Beth Israel Deaconess Medical Center3, Mount Sinai Hospital4, Yale University5, Fox Chase Cancer Center6, New Generation University College7, University of Chicago8, New York University9, Imperial College London10, Radboud University Nijmegen11, University of Barcelona12, Peter MacCallum Cancer Centre13, University of Michigan14, University of São Paulo15, Fred Hutchinson Cancer Research Center16, University of Duisburg-Essen17, Northern General Hospital18, University of Caen Lower Normandy19, Churchill Hospital20, Queen's University21, University of Sydney22, Sungkyunkwan University23, Seoul National University24, Kyorin University25, University of Copenhagen26, Nippon Medical School27, Katholieke Universiteit Leuven28, British Hospital29, University of Texas MD Anderson Cancer Center30, University of Antwerp31, Hyogo College of Medicine32, University of Western Australia33, Glenfield Hospital34, Cleveland Clinic35, Icahn School of Medicine at Mount Sinai36, University of Turin37, Université libre de Bruxelles38, Juntendo University39, National Cancer Research Institute40, Mayo Clinic41, Princess Margaret Cancer Centre42, Sinai Grace Hospital43, Netherlands Cancer Institute44, Hiroshima University45, City of Hope National Medical Center46, Georgetown University47, University of Tokushima48, University of Pisa49, Osaka University50
TL;DR: Codes for the primary tumor categories of AIS and minimally invasive adenocarcinoma (MIA) and a uniform way to measure tumor size in part‐solid tumors for the eighth edition of the tumor, node, and metastasis classification of lung cancer are proposed.
431 citations
Memorial Sloan Kettering Cancer Center1, Fred Hutchinson Cancer Research Center2, University of Sydney3, University of Turin4, Ankara University5, University of Texas MD Anderson Cancer Center6, New York University7, Glenfield Hospital8, University of Zurich9, Heidelberg University10, Ghent University11
TL;DR: This is the largest international database examining outcomes in surgically managed MPM patients and survival differences reported from smaller databases are confirmed but suggest the need to revise tumor and node staging.
309 citations
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01 Jan 2016
TL;DR: The modern applied statistics with s is universally compatible with any devices to read, and is available in the digital library an online access to it is set as public so you can download it instantly.
Abstract: Thank you very much for downloading modern applied statistics with s. As you may know, people have search hundreds times for their favorite readings like this modern applied statistics with s, but end up in harmful downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they cope with some harmful virus inside their laptop. modern applied statistics with s is available in our digital library an online access to it is set as public so you can download it instantly. Our digital library saves in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the modern applied statistics with s is universally compatible with any devices to read.
5,249 citations
TL;DR: The ACC and AHA have collaborated with the National Heart, Lung, and Blood Institute and stakeholder and professional organizations to develop guidelines, standards, and policies that promote optimal patient care and cardiovascular health.
Abstract: Preamble and Transition to ACC/AHA Guidelines to Reduce Cardiovascular Risk S50
The goals of the American College of Cardiology (ACC) and the American Heart Association (AHA) are to prevent cardiovascular diseases (CVD); improve the management of people who have these diseases through professional education and research; and develop guidelines, standards, and policies that promote optimal patient care and cardiovascular health. Toward these objectives, the ACC and AHA have collaborated with the National Heart, Lung, and Blood Institute (NHLBI) and stakeholder and professional organizations to develop …
3,524 citations
Institute for Systems Biology1, BC Cancer Agency2, University of California, San Francisco3, University of North Carolina at Chapel Hill4, Columbia University5, Discovery Institute6, Massachusetts Institute of Technology7, Arizona State University8, Sage Bionetworks9, Harvard University10, Johns Hopkins University11, Stanford University12, University of Calgary13, Université libre de Bruxelles14, University of Texas MD Anderson Cancer Center15, Medical College of Wisconsin16, Qatar Airways17, Cold Spring Harbor Laboratory18, University of São Paulo19, Henry Ford Hospital20, University of Alabama at Birmingham21, Van Andel Institute22, Stony Brook University23
TL;DR: An extensive immunogenomic analysis of more than 10,000 tumors comprising 33 diverse cancer types by utilizing data compiled by TCGA identifies six immune subtypes that encompass multiple cancer types and are hypothesized to define immune response patterns impacting prognosis.
3,246 citations
TL;DR: Qualitative and quantitative approaches to 18F-FDG PET response assessment have been applied and require a consistent PET methodology to allow quantitative assessments and the proposed PERCIST 1.0 criteria should serve as a starting point for use in clinical trials and in structured quantitative clinical reporting.
Abstract: The purpose of this article is to review the status and limitations of anatomic tumor response metrics including the World Health Organization (WHO) criteria, the Response Evaluation Criteria in Solid Tumors (RECIST), and RECIST 1.1. This article also reviews qualitative and quantitative approaches to metabolic tumor response assessment with 18 F-FDG PET and proposes a draft framework for PET Response Criteria in Solid Tumors (PERCIST), version 1.0. Methods: PubMed searches, including searches for the terms RECIST, positron, WHO, FDG, cancer (including specific types), treatment response, region of interest, and derivative references, were performed. Abstracts and articles judged most relevant to the goals of this report were reviewed with emphasis on limitations and strengths of the anatomic and PET approaches to treatment response assessment. On the basis of these data and the authors’ experience, draft criteria were formulated for PET tumor response to treatment. Results: Approximately 3,000 potentially relevant references were screened. Anatomic imaging alone using standard WHO, RECIST, and RECIST 1.1 criteria is widely applied but still has
3,094 citations
Imperial College London1, University of Barcelona2, Keio University3, University of Duisburg-Essen4, Queen's University5, Peter MacCallum Cancer Centre6, University of Michigan7, University of São Paulo8, Yale University9, Northern General Hospital10, University of Caen Lower Normandy11, Fred Hutchinson Cancer Research Center12, University of Oxford13, Memorial Sloan Kettering Cancer Center14, University of Sydney15, Sungkyunkwan University16, Seoul National University17, Kyorin University18, University of Copenhagen19, Nippon Medical School20, Katholieke Universiteit Leuven21, University of Texas MD Anderson Cancer Center22, University of Antwerp23, Hyogo College of Medicine24, University of Western Australia25, Glenfield Hospital26, Cleveland Clinic27, Icahn School of Medicine at Mount Sinai28, University of Turin29, Université libre de Bruxelles30, Juntendo University31, National Cancer Research Institute32, Mayo Clinic33, University of Toronto34, Sinai Grace Hospital35, Netherlands Cancer Institute36, Hiroshima University37, City of Hope National Medical Center38, University of Chicago39, New York University40, Georgetown University41, University of Tokushima42, University of Pisa43, Osaka University44, University of Valencia45, Good Samaritan Hospital46, Military Medical Academy47, Fundación Favaloro48, Autonomous University of Barcelona49, Complutense University of Madrid50, University of Oviedo51, National and Kapodistrian University of Athens52, Rovira i Virgili University53, Autonomous University of Madrid54, Ghent University55
TL;DR: The methods used to evaluate the resultant Stage groupings and the proposals put forward for the 8th edition of the TNM Classification for lung cancer due to be published late 2016 are described.
2,826 citations