Author
Toni K. Choueiri
Other affiliations: University of Ulsan, University of British Columbia, Cleveland Clinic ...read more
Bio: Toni K. Choueiri is an academic researcher from Harvard University. The author has contributed to research in topics: Renal cell carcinoma & Sunitinib. The author has an hindex of 107, co-authored 1071 publications receiving 59514 citations. Previous affiliations of Toni K. Choueiri include University of Ulsan & University of British Columbia.
Papers published on a yearly basis
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Memorial Sloan Kettering Cancer Center1, Institut Gustave Roussy2, Harvard University3, Roswell Park Cancer Institute4, Johns Hopkins University5, Stanford University6, University of Washington7, Vanderbilt University8, Fox Chase Cancer Center9, Macquarie University10, Aarhus University11, University of Helsinki12, The Royal Marsden NHS Foundation Trust13, University of Duisburg-Essen14, Niigata University15, Swansea University16, University of British Columbia17, Bristol-Myers Squibb18, University of Texas MD Anderson Cancer Center19
TL;DR: Overall survival was longer and fewer grade 3 or 4 adverse events occurred with nivolumab than with everolimus among patients with previously treated advanced renal-cell carcinoma.
Abstract: BackgroundNivolumab, a programmed death 1 (PD-1) checkpoint inhibitor, was associated with encouraging overall survival in uncontrolled studies involving previously treated patients with advanced renal-cell carcinoma. This randomized, open-label, phase 3 study compared nivolumab with everolimus in patients with renal-cell carcinoma who had received previous treatment. MethodsA total of 821 patients with advanced clear-cell renal-cell carcinoma for which they had received previous treatment with one or two regimens of antiangiogenic therapy were randomly assigned (in a 1:1 ratio) to receive 3 mg of nivolumab per kilogram of body weight intravenously every 2 weeks or a 10-mg everolimus tablet orally once daily. The primary end point was overall survival. The secondary end points included the objective response rate and safety. ResultsThe median overall survival was 25.0 months (95% confidence interval [CI], 21.8 to not estimable) with nivolumab and 19.6 months (95% CI, 17.6 to 23.1) with everolimus. The haz...
4,643 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
Memorial Sloan Kettering Cancer Center1, University of Texas MD Anderson Cancer Center2, Harvard University3, Fox Chase Cancer Center4, University of Strasbourg5, Queen Mary University of London6, Aarhus University7, Rabin Medical Center8, Tel Aviv University9, University of British Columbia10, Roswell Park Cancer Institute11, Cancer Research UK12, University of Jena13, Pontifícia Universidade Católica do Rio Grande do Sul14, Niigata University15, Complutense University of Madrid16, Cleveland Clinic17, Bristol-Myers Squibb18, Johns Hopkins University19, Macquarie University20, Université Paris-Saclay21
TL;DR: Overall survival and objective response rates were significantly higher with nivolumab plus ipilimumab than with sunitinib among intermediate‐ and poor‐risk patients with previously untreated advanced renal‐cell carcinoma.
Abstract: Background Nivolumab plus ipilimumab produced objective responses in patients with advanced renal-cell carcinoma in a pilot study. This phase 3 trial compared nivolumab plus ipilimumab with sunitinib for previously untreated clear-cell advanced renal-cell carcinoma. Methods We randomly assigned adults in a 1:1 ratio to receive either nivolumab (3 mg per kilogram of body weight) plus ipilimumab (1 mg per kilogram) intravenously every 3 weeks for four doses, followed by nivolumab (3 mg per kilogram) every 2 weeks, or sunitinib (50 mg) orally once daily for 4 weeks (6-week cycle). The coprimary end points were overall survival (alpha level, 0.04), objective response rate (alpha level, 0.001), and progression-free survival (alpha level, 0.009) among patients with intermediate or poor prognostic risk. Results A total of 1096 patients were assigned to receive nivolumab plus ipilimumab (550 patients) or sunitinib (546 patients); 425 and 422, respectively, had intermediate or poor risk. At a median follo...
2,984 citations
Chad J. Creighton1, Margaret Morgan1, Preethi H. Gunaratne2, Preethi H. Gunaratne1 +288 more•Institutions (27)
TL;DR: Remodelling cellular metabolism constitutes a recurrent pattern in ccRCC that correlates with tumour stage and severity and offers new views on the opportunities for disease treatment.
Abstract: Genetic changes underlying clear cell renal cell carcinoma (ccRCC) include alterations in genes controlling cellular oxygen sensing (for example, VHL) and the maintenance of chromatin states (for example, PBRM1). We surveyed more than 400 tumours using different genomic platforms and identified 19 significantly mutated genes. The PI(3)K/AKT pathway was recurrently mutated, suggesting this pathway as a potential therapeutic target. Widespread DNA hypomethylation was associated with mutation of the H3K36 methyltransferase SETD2, and integrative analysis suggested that mutations involving the SWI/SNF chromatin remodelling complex (PBRM1, ARID1A, SMARCA4) could have far-reaching effects on other pathways. Aggressive cancers demonstrated evidence of a metabolic shift, involving downregulation of genes involved in the TCA cycle, decreased AMPK and PTEN protein levels, upregulation of the pentose phosphate pathway and the glutamine transporter genes, increased acetyl-CoA carboxylase protein, and altered promoter methylation of miR-21 (also known as MIR21) and GRB10. Remodelling cellular metabolism thus constitutes a recurrent pattern in ccRCC that correlates with tumour stage and severity and offers new views on the opportunities for disease treatment.
2,548 citations
Harvard University1, Erasmus University Rotterdam2, University of Pennsylvania3, Laval University4, University of Ulsan5, University of California, San Francisco6, Yale University7, Radboud University Nijmegen8, University of Southern California9, Merck & Co.10, Memorial Sloan Kettering Cancer Center11
TL;DR: Pembrolizumab was associated with significantly longer overall survival and with a lower rate of treatment‐related adverse events than chemotherapy as second‐line therapy for platinum‐refractory advanced urothelial carcinoma.
Abstract: BackgroundPatients with advanced urothelial carcinoma that progresses after platinum-based chemotherapy have a poor prognosis and limited treatment options. MethodsIn this open-label, international, phase 3 trial, we randomly assigned 542 patients with advanced urothelial cancer that recurred or progressed after platinum-based chemotherapy to receive pembrolizumab (a highly selective, humanized monoclonal IgG4κ isotype antibody against programmed death 1 [PD-1]) at a dose of 200 mg every 3 weeks or the investigator’s choice of chemotherapy with paclitaxel, docetaxel, or vinflunine. The coprimary end points were overall survival and progression-free survival, which were assessed among all patients and among patients who had a tumor PD-1 ligand (PD-L1) combined positive score (the percentage of PD-L1–expressing tumor and infiltrating immune cells relative to the total number of tumor cells) of 10% or more. ResultsThe median overall survival in the total population was 10.3 months (95% confidence interval [C...
2,362 citations
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TL;DR: In this article, Anderson et al. proposed a new FAHA Chair, Jeffrey L. Anderson, MD, FACC, FAHA, Chair-Elect, Alice K. Jacobs et al., this article and Biykem Bozkurt.
11,386 citations
University of Colorado Boulder1, Harvard University2, Mayo Clinic3, Boston University4, University of Pennsylvania5, University of Pittsburgh6, University of Siena7, University Health Network8, Institut Gustave Roussy9, Oregon Health & Science University10, University of Texas MD Anderson Cancer Center11, Duke University12, University of Cincinnati13, Memorial Sloan Kettering Cancer Center14, MedStar Washington Hospital Center15
TL;DR: Evidence-based recommendations are developed to inform clinical decision-making in the management of thyroid nodules and differentiated thyroid cancer and represent, in the authors' opinion, contemporary optimal care for patients with these disorders.
Abstract: Background: Thyroid nodules are a common clinical problem, and differentiated thyroid cancer is becoming increasingly prevalent. Since the American Thyroid Association's (ATA's) guidelines for the management of these disorders were revised in 2009, significant scientific advances have occurred in the field. The aim of these guidelines is to inform clinicians, patients, researchers, and health policy makers on published evidence relating to the diagnosis and management of thyroid nodules and differentiated thyroid cancer. Methods: The specific clinical questions addressed in these guidelines were based on prior versions of the guidelines, stakeholder input, and input of task force members. Task force panel members were educated on knowledge synthesis methods, including electronic database searching, review and selection of relevant citations, and critical appraisal of selected studies. Published English language articles on adults were eligible for inclusion. The American College of Physicians Guideline Gr...
10,501 citations
TL;DR: GEPIA (Gene Expression Profiling Interactive Analysis) fills in the gap between cancer genomics big data and the delivery of integrated information to end users, thus helping unleash the value of the current data resources.
Abstract: Tremendous amount of RNA sequencing data have been produced by large consortium projects such as TCGA and GTEx, creating new opportunities for data mining and deeper understanding of gene functions. While certain existing web servers are valuable and widely used, many expression analysis functions needed by experimental biologists are still not adequately addressed by these tools. We introduce GEPIA (Gene Expression Profiling Interactive Analysis), a web-based tool to deliver fast and customizable functionalities based on TCGA and GTEx data. GEPIA provides key interactive and customizable functions including differential expression analysis, profiling plotting, correlation analysis, patient survival analysis, similar gene detection and dimensionality reduction analysis. The comprehensive expression analyses with simple clicking through GEPIA greatly facilitate data mining in wide research areas, scientific discussion and the therapeutic discovery process. GEPIA fills in the gap between cancer genomics big data and the delivery of integrated information to end users, thus helping unleash the value of the current data resources. GEPIA is available at http://gepia.cancer-pku.cn/.
5,980 citations
TL;DR: The number of cancer survivors continues to increase because of both advances in early detection and treatment and the aging and growth of the population and for the public health community to better serve these survivors, the American Cancer Society and the National Cancer Institute collaborate to estimate the number of current and future cancer survivors.
Abstract: The number of cancer survivors continues to increase because of both advances in early detection and treatment and the aging and growth of the population. For the public health community to better serve these survivors, the American Cancer Society and the National Cancer Institute collaborate to estimate the number of current and future cancer survivors using data from the Surveillance, Epidemiology, and End Results cancer registries. In addition, current treatment patterns for the most prevalent cancer types are presented based on information in the National Cancer Data Base and treatment-related side effects are briefly described. More than 15.5 million Americans with a history of cancer were alive on January 1, 2016, and this number is projected to reach more than 20 million by January 1, 2026. The 3 most prevalent cancers are prostate (3,306,760), colon and rectum (724,690), and melanoma (614,460) among males and breast (3,560,570), uterine corpus (757,190), and colon and rectum (727,350) among females. More than one-half (56%) of survivors were diagnosed within the past 10 years, and almost one-half (47%) are aged 70 years or older. People with a history of cancer have unique medical and psychosocial needs that require proactive assessment and management by primary care providers. Although there are a growing number of tools that can assist patients, caregivers, and clinicians in navigating the various phases of cancer survivorship, further evidence-based resources are needed to optimize care. CA Cancer J Clin 2016;66:271-289. © 2016 American Cancer Society.
5,516 citations
John N. Weinstein1, John N. Weinstein2, Eric A. Collisson3, Gordon B. Mills2 +376 more•Institutions (31)
TL;DR: The Pan-Cancer initiative compares the first 12 tumor types profiled by TCGA with a major opportunity to develop an integrated picture of commonalities, differences and emergent themes across tumor lineages.
Abstract: The Cancer Genome Atlas (TCGA) Research Network has profiled and analyzed large numbers of human tumors to discover molecular aberrations at the DNA, RNA, protein and epigenetic levels. The resulting rich data provide a major opportunity to develop an integrated picture of commonalities, differences and emergent themes across tumor lineages. The Pan-Cancer initiative compares the first 12 tumor types profiled by TCGA. Analysis of the molecular aberrations and their functional roles across tumor types will teach us how to extend therapies effective in one cancer type to others with a similar genomic profile.
5,294 citations