1
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Cramer EY, Huang Y, Wang Y, Ray EL, Cornell M, Bracher J, Brennen A, Rivadeneira AJC, Gerding A, House K, Jayawardena D, Kanji AH, Khandelwal A, Le K, Mody V, Mody V, Niemi J, Stark A, Shah A, Wattanchit N, Zorn MW, Reich NG. The United States COVID-19 Forecast Hub dataset. Sci Data 2022. [PMID: 35915104 DOI: 10.1101/2021.11.04.21265886v1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/20/2023] Open
Abstract
Academic researchers, government agencies, industry groups, and individuals have produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage these forecasts, the United States Centers for Disease Control and Prevention (CDC) partnered with an academic research lab at the University of Massachusetts Amherst to create the US COVID-19 Forecast Hub. Launched in April 2020, the Forecast Hub is a dataset with point and probabilistic forecasts of incident cases, incident hospitalizations, incident deaths, and cumulative deaths due to COVID-19 at county, state, and national, levels in the United States. Included forecasts represent a variety of modeling approaches, data sources, and assumptions regarding the spread of COVID-19. The goal of this dataset is to establish a standardized and comparable set of short-term forecasts from modeling teams. These data can be used to develop ensemble models, communicate forecasts to the public, create visualizations, compare models, and inform policies regarding COVID-19 mitigation. These open-source data are available via download from GitHub, through an online API, and through R packages.
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Affiliation(s)
- Estee Y Cramer
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA
| | - Yuxin Huang
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA
| | - Yijin Wang
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA
| | - Evan L Ray
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA
| | - Matthew Cornell
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA
| | - Johannes Bracher
- Chair of Econometrics and Statistics, Karlsruhe Institute of Technology, Karlsruhe, 76185, Germany
- Computational Statistics Group, Heidelberg Institute for Theoretical Studies, Heidelberg, 69118, Germany
| | | | | | - Aaron Gerding
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA
| | - Katie House
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA
| | - Dasuni Jayawardena
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA
| | - Abdul Hannan Kanji
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA
| | - Ayush Khandelwal
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA
| | - Khoa Le
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA
| | - Vidhi Mody
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA
| | - Vrushti Mody
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA
| | - Jarad Niemi
- Department of Statistics, Iowa State University, Ames, IA, 50011, USA
| | - Ariane Stark
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA
| | - Apurv Shah
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA
| | - Nutcha Wattanchit
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA
| | - Martha W Zorn
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA
| | - Nicholas G Reich
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, 01003, USA.
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2
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Cramer EY, Huang Y, Wang Y, Ray EL, Cornell M, Bracher J, Brennen A, Rivadeneira AJC, Gerding A, House K, Jayawardena D, Kanji AH, Khandelwal A, Le K, Mody V, Mody V, Niemi J, Stark A, Shah A, Wattanchit N, Zorn MW, Reich NG. The United States COVID-19 Forecast Hub dataset. Sci Data 2022; 9:462. [PMID: 35915104 PMCID: PMC9342845 DOI: 10.1038/s41597-022-01517-w] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 06/29/2022] [Indexed: 02/02/2023] Open
Abstract
Academic researchers, government agencies, industry groups, and individuals have produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage these forecasts, the United States Centers for Disease Control and Prevention (CDC) partnered with an academic research lab at the University of Massachusetts Amherst to create the US COVID-19 Forecast Hub. Launched in April 2020, the Forecast Hub is a dataset with point and probabilistic forecasts of incident cases, incident hospitalizations, incident deaths, and cumulative deaths due to COVID-19 at county, state, and national, levels in the United States. Included forecasts represent a variety of modeling approaches, data sources, and assumptions regarding the spread of COVID-19. The goal of this dataset is to establish a standardized and comparable set of short-term forecasts from modeling teams. These data can be used to develop ensemble models, communicate forecasts to the public, create visualizations, compare models, and inform policies regarding COVID-19 mitigation. These open-source data are available via download from GitHub, through an online API, and through R packages.
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Affiliation(s)
- Estee Y. Cramer
- grid.266683.f0000 0001 2166 5835Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003 USA
| | - Yuxin Huang
- grid.266683.f0000 0001 2166 5835Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003 USA
| | - Yijin Wang
- grid.266683.f0000 0001 2166 5835Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003 USA
| | - Evan L. Ray
- grid.266683.f0000 0001 2166 5835Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003 USA
| | - Matthew Cornell
- grid.266683.f0000 0001 2166 5835Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003 USA
| | - Johannes Bracher
- grid.7892.40000 0001 0075 5874Chair of Econometrics and Statistics, Karlsruhe Institute of Technology, Karlsruhe, 76185 Germany ,grid.424699.40000 0001 2275 2842Computational Statistics Group, Heidelberg Institute for Theoretical Studies, Heidelberg, 69118 Germany
| | | | - Alvaro J. Castro Rivadeneira
- grid.266683.f0000 0001 2166 5835Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003 USA
| | - Aaron Gerding
- grid.266683.f0000 0001 2166 5835Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003 USA
| | - Katie House
- grid.266683.f0000 0001 2166 5835Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003 USA
| | - Dasuni Jayawardena
- grid.266683.f0000 0001 2166 5835Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003 USA
| | - Abdul Hannan Kanji
- grid.266683.f0000 0001 2166 5835Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003 USA
| | - Ayush Khandelwal
- grid.266683.f0000 0001 2166 5835Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003 USA
| | - Khoa Le
- grid.266683.f0000 0001 2166 5835Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003 USA
| | - Vidhi Mody
- grid.266683.f0000 0001 2166 5835Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003 USA
| | - Vrushti Mody
- grid.266683.f0000 0001 2166 5835Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003 USA
| | - Jarad Niemi
- grid.34421.300000 0004 1936 7312Department of Statistics, Iowa State University, Ames, IA 50011 USA
| | - Ariane Stark
- grid.266683.f0000 0001 2166 5835Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003 USA
| | - Apurv Shah
- grid.266683.f0000 0001 2166 5835Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003 USA
| | - Nutcha Wattanchit
- grid.266683.f0000 0001 2166 5835Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003 USA
| | - Martha W. Zorn
- grid.266683.f0000 0001 2166 5835Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003 USA
| | - Nicholas G. Reich
- grid.266683.f0000 0001 2166 5835Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003 USA
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3
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Liang J, Zbieg JR, Blake RA, Chang JH, Daly S, DiPasquale AG, Friedman LS, Gelzleichter T, Gill M, Giltnane JM, Goodacre S, Guan J, Hartman SJ, Ingalla ER, Kategaya L, Kiefer JR, Kleinheinz T, Labadie SS, Lai T, Li J, Liao J, Liu Z, Mody V, McLean N, Metcalfe C, Nannini MA, Oeh J, O'Rourke MG, Ortwine DF, Ran Y, Ray NC, Roussel F, Sambrone A, Sampath D, Schutt LK, Vinogradova M, Wai J, Wang T, Wertz IE, White JR, Yeap SK, Young A, Zhang B, Zheng X, Zhou W, Zhong Y, Wang X. GDC-9545 (Giredestrant): A Potent and Orally Bioavailable Selective Estrogen Receptor Antagonist and Degrader with an Exceptional Preclinical Profile for ER+ Breast Cancer. J Med Chem 2021; 64:11841-11856. [PMID: 34251202 DOI: 10.1021/acs.jmedchem.1c00847] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Breast cancer remains a leading cause of cancer death in women, representing a significant unmet medical need. Here, we disclose our discovery efforts culminating in a clinical candidate, 35 (GDC-9545 or giredestrant). 35 is an efficient and potent selective estrogen receptor degrader (SERD) and a full antagonist, which translates into better antiproliferation activity than known SERDs (1, 6, 7, and 9) across multiple cell lines. Fine-tuning the physiochemical properties enabled once daily oral dosing of 35 in preclinical species and humans. 35 exhibits low drug-drug interaction liability and demonstrates excellent in vitro and in vivo safety profiles. At low doses, 35 induces tumor regressions either as a single agent or in combination with a CDK4/6 inhibitor in an ESR1Y537S mutant PDX or a wild-type ERα tumor model. Currently, 35 is being evaluated in Phase III clinical trials.
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Affiliation(s)
- Jun Liang
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Jason R Zbieg
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Robert A Blake
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Jae H Chang
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Stephen Daly
- Charles River Discovery Research Services UK Limited, 7-9 Spire Green Center, Flex Meadow, Harlow, Essex CM19 5TR, United Kingdom
| | - Antonio G DiPasquale
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Lori S Friedman
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Thomas Gelzleichter
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Matthew Gill
- Charles River Discovery Research Services UK Limited, 7-9 Spire Green Center, Flex Meadow, Harlow, Essex CM19 5TR, United Kingdom
| | - Jennifer M Giltnane
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Simon Goodacre
- Charles River Discovery Research Services UK Limited, 7-9 Spire Green Center, Flex Meadow, Harlow, Essex CM19 5TR, United Kingdom
| | - Jane Guan
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Steven J Hartman
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Ellen Rei Ingalla
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Lorn Kategaya
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - James R Kiefer
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Tracy Kleinheinz
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Sharada S Labadie
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Tommy Lai
- WuXi AppTec Co., Ltd., 288 Fute Zhong Road, Waigaoqiao Free Trade Zone, Shanghai 200131, P. R. China
| | - Jun Li
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Jiangpeng Liao
- WuXi AppTec Co., Ltd., 288 Fute Zhong Road, Waigaoqiao Free Trade Zone, Shanghai 200131, P. R. China
| | - Zhiguo Liu
- WuXi AppTec Co., Ltd., 288 Fute Zhong Road, Waigaoqiao Free Trade Zone, Shanghai 200131, P. R. China
| | - Vidhi Mody
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Neville McLean
- Charles River Discovery Research Services UK Limited, 7-9 Spire Green Center, Flex Meadow, Harlow, Essex CM19 5TR, United Kingdom
| | - Ciara Metcalfe
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Michelle A Nannini
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Jason Oeh
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Martin G O'Rourke
- Charles River Discovery Research Services UK Limited, 7-9 Spire Green Center, Flex Meadow, Harlow, Essex CM19 5TR, United Kingdom
| | - Daniel F Ortwine
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Yingqing Ran
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Nicholas C Ray
- Charles River Discovery Research Services UK Limited, 7-9 Spire Green Center, Flex Meadow, Harlow, Essex CM19 5TR, United Kingdom
| | - Fabien Roussel
- Charles River Discovery Research Services UK Limited, 7-9 Spire Green Center, Flex Meadow, Harlow, Essex CM19 5TR, United Kingdom
| | - Amy Sambrone
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Deepak Sampath
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Leah K Schutt
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Maia Vinogradova
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - John Wai
- WuXi AppTec Co., Ltd., 288 Fute Zhong Road, Waigaoqiao Free Trade Zone, Shanghai 200131, P. R. China
| | - Tao Wang
- WuXi AppTec Co., Ltd., 288 Fute Zhong Road, Waigaoqiao Free Trade Zone, Shanghai 200131, P. R. China
| | - Ingrid E Wertz
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Jonathan R White
- Charles River Discovery Research Services UK Limited, 7-9 Spire Green Center, Flex Meadow, Harlow, Essex CM19 5TR, United Kingdom
| | - Siew Kuen Yeap
- Charles River Discovery Research Services UK Limited, 7-9 Spire Green Center, Flex Meadow, Harlow, Essex CM19 5TR, United Kingdom
| | - Amy Young
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Birong Zhang
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Xiaoping Zheng
- WuXi AppTec Co., Ltd., 288 Fute Zhong Road, Waigaoqiao Free Trade Zone, Shanghai 200131, P. R. China
| | - Wei Zhou
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Yu Zhong
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Xiaojing Wang
- Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
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4
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Singh Mali R, Zhang Q, DeFilippis RA, Cavazos A, Kuruvilla VM, Raman J, Mody V, Choo EF, Dail M, Shah NP, Konopleva M, Sampath D, Lasater EA. Venetoclax combines synergistically with FLT3 inhibition to effectively target leukemic cells in FLT3-ITD+ acute myeloid leukemia models. Haematologica 2021; 106:1034-1046. [PMID: 32414851 PMCID: PMC8017817 DOI: 10.3324/haematol.2019.244020] [Citation(s) in RCA: 68] [Impact Index Per Article: 22.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Indexed: 12/16/2022] Open
Abstract
FLT3 internal tandem duplication (FLT3-ITD) mutations account for ~25% of adult acute myeloid leukemia cases and are associated with poor prognosis. Venetoclax, a selective BCL-2 inhibitor, has limited monotherapy activity in relapsed/refractory acute myeloid leukemia with no responses observed in a small subset of FLT3-ITD+ patients. Further, FLT3-ITD mutations emerged at relapse following venetoclax monotherapy and combination therapy suggesting a potential mechanism of resistance. Therefore, we investigated the convergence of FLT3-ITD signaling on the BCL-2 family proteins and determined combination activity of venetoclax and FLT3-ITD inhibition in preclinical models. In vivo, venetoclax combined with quizartinib, a potent FLT3 inhibitor, showed greater anti-tumor efficacy and prolonged survival compared to monotherapies. In a patient-derived FLT3-ITD+ xenograft model, cotreatment with venetoclax and quizartinib at clinically relevant doses had greater anti-tumor activity in the tumor microenvironment compared to quizartinib or venetoclax alone. Use of selective BCL-2 family inhibitors further identified a role for BCL-2, BCL-XL and MCL-1 in mediating survival in FLT3-ITD+ cells in vivo and highlighted the need to target all three proteins for greatest anti-tumor activity. Assessment of these combinations in vitro revealed synergistic combination activity for quizartinib and venetoclax but not for quizartinib combined with BCL-XL or MCL-1 inhibition. FLT3-ITD inhibition was shown to indirectly target both BCL-XL and MCL-1 through modulation of protein expression, thereby priming cells toward BCL-2 dependence for survival. These data demonstrate that FLT3-ITD inhibition combined with venetoclax has impressive anti-tumor activity in FLT3-ITD+ acute myeloid leukemia preclinical models and provides strong mechanistic rational for clinical studies.
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Affiliation(s)
- Raghuveer Singh Mali
- Department of Translational Oncology, Genentech, Inc., South San Francisco, CA, USA
| | - Qi Zhang
- Department of Leukemia, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Rosa Anna DeFilippis
- Division of Hematology and Oncology, University of California at San Francisco, San Francisco, USA
| | - Antonio Cavazos
- Department of Leukemia, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Vinitha Mary Kuruvilla
- Department of Leukemia, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Jayant Raman
- Division of Hematology and Oncology, University of California at San Francisco, San Francisco, USA
| | - Vidhi Mody
- Department of Drug Metabolism and Pharmacokinetics, Genentech, Inc., South San Francisco, CA, USA
| | - Edna F Choo
- Department of Drug Metabolism and Pharmacokinetics, Genentech, Inc., South San Francisco, CA, USA
| | - Monique Dail
- Oncology Biomarker Development, Genentech, Inc., South San Francisco, CA, USA
| | - Neil P Shah
- Helen Diller Comprehensive Cancer Center, University of California at San Francisco, USA
| | - Marina Konopleva
- Department of Leukemia, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Deepak Sampath
- Department of Translational Oncology, Genentech, Inc., South San Francisco, CA, USA
| | - Elisabeth A Lasater
- Department of Translational Oncology, Genentech, Inc., South San Francisco, CA, USA
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5
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Metcalfe C, Zhou W, Guan J, Blake RA, De Bruyn T, Giltnane JM, Ingalla E, Kleinheinz T, Liang J, Mody V, Oeh J, Ubhayakar S, Wertz I, Young A, Zbieg J, Wang X, Hafner M. Abstract 3406: GDC-9545: A pure antiestrogen clinical candidate that immobilizes the estrogen receptor and profoundly alters chromatin accessibility in vivo. Cancer Res 2020. [DOI: 10.1158/1538-7445.am2020-3406] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Estrogen Receptor-positive (ER+) breast cancer is a significant unmet medical need. Tumors expressing ER exhibit evidence of mitogenic ER signaling throughout disease progression, including after acquired resistance to existing endocrine agents. Such continued dependence on ER signaling highlights the need for next generation therapies that more effectively block ER function in tumors. Fulvestrant was first discovered as a “pure antiestrogen”, in contrast to earlier generation ER therapeutic ligands that exhibit weak agonistic activity, such as tamoxifen. After its discovery as a full ER antagonist, fulvestrant was demonstrated to decrease ER protein levels through proteasome-mediated degradation. These observations led to the compelling hypothesis that elimination of ER by fulvestrant drives suppression of ER signaling. Importantly however, we recently demonstrated that fulvestrant and other full ER antagonists (e.g. GDC-0927) dramatically slow the intranuclear mobility of ER [Cell 178:4 (2019)]. We argue that such immobilization prevents ER function, and that increased ER turnover is a downstream consequence of immobilization, rather than a cause of ER inhibition. Here, we describe GDC-9545, our latest generation ER antagonist, currently being evaluated in clinic, that robustly immobilizes ER, and drives profound ER suppression in vivo. In the HCI-011 PDX model, we find that GDC-9545 can achieve greater ER pathway inhibition than can be achieved by tamoxifen. Intriguingly, although tamoxifen exhibits partial ER inhibition, likely through preventing recruitment of co-activators to the ER ligand binding domain, it drives increased accessibility at ~2500 chromatin sites, as determined by ATAC-seq. Chromatin regions exhibiting increased accessibility upon tamoxifen treatment are significantly enriched for the ERE motif, while a smaller number of sites exhibiting decreased accessibility upon treatment are enriched for AP-1 motifs. In contrast, GDC-9545 profoundly decreases chromatin accessibility at both ERE and AP-1 motifs, despite not fully eliminating ER protein. Notably, sites exhibiting decreased accessibility upon GDC-9545 treatment in the PDX in vivo, significantly overlap with sites displaying increased accessibility in estrogen-stimulated MCF7 cells in vitro. GDC-9545-treatment additionally alters accessibility at sites enriched for the FOXA1 motif, though unexpectedly, a sub-set of these sites exhibit increased accessibility while a distinct sub-set of sites exhibit decreased accessibility. We speculate that this particular pattern of accessibility changes may reflect redistribution of FOXA1 upon GDC-9545 treatment, and we will further explore this hypothesis. These data provide further insights into the impact of ER immobilization by the latest generation of pure antiestrogens.
Citation Format: Ciara Metcalfe, Wei Zhou, Jane Guan, Robert A. Blake, Tom De Bruyn, Jennifer M. Giltnane, Ellen Ingalla, Tracy Kleinheinz, Jun Liang, Vidhi Mody, Jason Oeh, Savita Ubhayakar, Ingrid Wertz, Amy Young, Jason Zbieg, Xiaojing Wang, Marc Hafner. GDC-9545: A pure antiestrogen clinical candidate that immobilizes the estrogen receptor and profoundly alters chromatin accessibility in vivo [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 3406.
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Affiliation(s)
| | - Wei Zhou
- Genentech, Inc., South San Francisco, CA
| | - Jane Guan
- Genentech, Inc., South San Francisco, CA
| | | | | | | | | | | | - Jun Liang
- Genentech, Inc., South San Francisco, CA
| | - Vidhi Mody
- Genentech, Inc., South San Francisco, CA
| | - Jason Oeh
- Genentech, Inc., South San Francisco, CA
| | | | | | - Amy Young
- Genentech, Inc., South San Francisco, CA
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6
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Liang J, Blake R, Chang J, Friedman LS, Goodacre S, Hartman S, Ingalla ER, Kiefer JR, Kleinheinz T, Labadie S, Li J, Lai KW, Liao J, Mody V, McLean N, Metcalfe C, Nannini M, Otwine D, Ran Y, Ray N, Roussel F, Sambrone A, Sampath D, Vinogradova M, Wai J, Wang T, Yeap K, Young A, Zbieg J, Zhang B, Zheng X, Zhong Y, Wang X. Discovery of GNE-149 as a Full Antagonist and Efficient Degrader of Estrogen Receptor alpha for ER+ Breast Cancer. ACS Med Chem Lett 2020; 11:1342-1347. [PMID: 32551022 PMCID: PMC7294714 DOI: 10.1021/acsmedchemlett.0c00224] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Accepted: 05/26/2020] [Indexed: 12/19/2022] Open
Abstract
Estrogen receptor alpha (ERα) is a well-validated drug target for ER-positive (ER+) breast cancer. Fulvestrant is FDA-approved to treat ER+ breast cancer and works through two mechanisms-as a full antagonist and selective estrogen receptor degrader (SERD)-but lacks oral bioavailability. Thus, we envisioned a "best-in-class" molecule with the same dual mechanisms as fulvestrant, but with significant oral exposure. Through lead optimization, we discovered a tool molecule 12 (GNE-149) with improved degradation and antiproliferative activity in both MCF7 and T47D cells. To illustrate the binding mode and key interactions of this scaffold with ERα, we obtained a cocrystal structure of 6 that showed ionic interaction of azetidine with Asp351 residue. Importantly, 12 showed favorable metabolic stability and good oral exposure. 12 exhibited antagonist effect in the uterus and demonstrated robust dose-dependent efficacy in xenograft models.
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Affiliation(s)
- Jun Liang
- Genentech,
Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Robert Blake
- Genentech,
Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Jae Chang
- Genentech,
Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Lori S. Friedman
- Genentech,
Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Simon Goodacre
- Charles
River Discovery Research Services UK Limited, 7-9 Spire Green Center, Flex Meadow, Harlow, Essex CM19 5TR, United Kingdom
| | - Steven Hartman
- Genentech,
Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Ellen Rei Ingalla
- Genentech,
Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - James R. Kiefer
- Genentech,
Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Tracy Kleinheinz
- Genentech,
Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Sharada Labadie
- Genentech,
Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Jun Li
- Genentech,
Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Kwong Wah Lai
- WuXi
AppTec Co., Ltd, 288 Fute Zhong Road, Waigaoqiao Free Trade Zone, Shanghai 200131, P. R.
China
| | - Jiangpeng Liao
- WuXi
AppTec Co., Ltd, 288 Fute Zhong Road, Waigaoqiao Free Trade Zone, Shanghai 200131, P. R.
China
| | - Vidhi Mody
- Genentech,
Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Neville McLean
- Charles
River Discovery Research Services UK Limited, 7-9 Spire Green Center, Flex Meadow, Harlow, Essex CM19 5TR, United Kingdom
| | - Ciara Metcalfe
- Genentech,
Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Michelle Nannini
- Genentech,
Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Daniel Otwine
- Genentech,
Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Yingqing Ran
- Genentech,
Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Nick Ray
- Charles
River Discovery Research Services UK Limited, 7-9 Spire Green Center, Flex Meadow, Harlow, Essex CM19 5TR, United Kingdom
| | - Fabien Roussel
- Charles
River Discovery Research Services UK Limited, 7-9 Spire Green Center, Flex Meadow, Harlow, Essex CM19 5TR, United Kingdom
| | - Amy Sambrone
- Genentech,
Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Deepak Sampath
- Genentech,
Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Maia Vinogradova
- Genentech,
Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - John Wai
- WuXi
AppTec Co., Ltd, 288 Fute Zhong Road, Waigaoqiao Free Trade Zone, Shanghai 200131, P. R.
China
| | - Tao Wang
- WuXi
AppTec Co., Ltd, 288 Fute Zhong Road, Waigaoqiao Free Trade Zone, Shanghai 200131, P. R.
China
| | - Kuen Yeap
- Charles
River Discovery Research Services UK Limited, 7-9 Spire Green Center, Flex Meadow, Harlow, Essex CM19 5TR, United Kingdom
| | - Amy Young
- Genentech,
Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Jason Zbieg
- Genentech,
Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Birong Zhang
- Genentech,
Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Xiaoping Zheng
- WuXi
AppTec Co., Ltd, 288 Fute Zhong Road, Waigaoqiao Free Trade Zone, Shanghai 200131, P. R.
China
| | - Yu Zhong
- Genentech,
Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Xiaojing Wang
- Genentech,
Inc., 1 DNA Way, South San Francisco, California 94080, United States
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7
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Labadie SS, Li J, Blake RA, Chang JH, Goodacre S, Hartman SJ, Liang W, Kiefer JR, Kleinheinz T, Lai T, Liao J, Ortwine DF, Mody V, Ray NC, Roussel F, Vinogradova M, Yeap SK, Zhang B, Zheng X, Zbieg JR, Liang J, Wang X. Discovery of a C-8 hydroxychromene as a potent degrader of estrogen receptor alpha with improved rat oral exposure over GDC-0927. Bioorg Med Chem Lett 2019; 29:2090-2093. [PMID: 31311734 DOI: 10.1016/j.bmcl.2019.07.013] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Revised: 07/02/2019] [Accepted: 07/05/2019] [Indexed: 11/26/2022]
Abstract
Phenolic groups are responsible for the high clearance and low oral bioavailability of the estrogen receptor alpha (ERα) clinical candidate GDC-0927. An exhaustive search for a backup molecule with improved pharmacokinetic (PK) properties identified several metabolically stable analogs, although in general at the expense of the desired potency and degradation efficiency. C-8 hydroxychromene 30 is the first example of a phenol-containing chromene that not only maintained excellent potency but also exhibited 10-fold higher oral exposure in rats. The improved in vivo clearance in rat was hypothesized to be the result of C-8 hydroxy group being sterically protected from glucuronide conjugation. The excellent potency underscores the possibility of replacing the presumed indispensable phenolic group at C-6 or C-7 of the chromene core. Co-crystal structures were obtained to highlight the change in key interactions and rationalize the retained potency.
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Affiliation(s)
| | - Jun Li
- Genentech Inc., South San Francisco, CA 94080, USA
| | | | - Jae H Chang
- Genentech Inc., South San Francisco, CA 94080, USA
| | - Simon Goodacre
- Charles River Laboratories, 7-9 Spire Green Centre, Flex Meadow, Harlow, Essex CM19 5TR, United Kingdom
| | | | | | | | | | - Tommy Lai
- WuXi AppTec Co., Ltd., Shanghai 200131, China
| | | | | | - Vidhi Mody
- Genentech Inc., South San Francisco, CA 94080, USA
| | - Nicholas C Ray
- Charles River Laboratories, 7-9 Spire Green Centre, Flex Meadow, Harlow, Essex CM19 5TR, United Kingdom
| | - Fabien Roussel
- Charles River Laboratories, 7-9 Spire Green Centre, Flex Meadow, Harlow, Essex CM19 5TR, United Kingdom
| | | | - Siew Kuen Yeap
- Charles River Laboratories, 7-9 Spire Green Centre, Flex Meadow, Harlow, Essex CM19 5TR, United Kingdom
| | - Birong Zhang
- Genentech Inc., South San Francisco, CA 94080, USA
| | | | | | - Jun Liang
- Genentech Inc., South San Francisco, CA 94080, USA
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8
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Kahraman M, Govek SP, Nagasawa JY, Lai A, Bonnefous C, Douglas K, Sensintaffar J, Lu N, Lee K, Aparicio A, Kaufman J, Qian J, Shao G, Prudente R, Joseph JD, Darimont B, Brigham D, Heyman R, Rix PJ, Hager JH, Smith ND, Blake RA, Chang J, Choo E, Daemen A, Friedman LS, Guan J, Hartman S, Ingalla E, Kiefer JR, Kleinheinz T, Labadie S, Metcalfe C, Mody V, Nannini M, Sampath D, Young A, Vinogradova M, Zhou W, Liang J, Wang X. Abstract 1648: Discovery and evolution of orally bioavailable selective estrogen receptor degraders for ER+ breast cancer: From GDC-0810 to GDC-0927. Cancer Res 2018. [DOI: 10.1158/1538-7445.am2018-1648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Breast cancer is the most frequently diagnosed cancer among women and remains the second leading cause of cancer death in women. An estimated 70% of all breast cancers express estrogen receptor alpha (ERα); and endocrine therapies have validated ERα as a target for the treatment of breast cancer. Despite effective endocrine therapies, many patients eventually relapse and become resistant to standard of care treatments. Endocrine resistant tumors often remain dependent on ERα for growth and survival, as evidenced by their sensitivity to the selective estrogen receptor degrader (SERD), fulvestrant. However, fulvestrant may be limited in achieving maximal target occupancy due to pharmaceutical and pharmacokinetics properties which necessitates intramuscular route of administration. Consequently, SERDs with superior drug-like properties were sought to allow consistent and rapid achievement of maximal therapeutic exposure. GDC-0810 and GDC-0927 as first and second generation orally bioavailable SERDs were discovered through a prospective lead optimization on ERα degradation. The evolution from GDC-0810 to GDC-0927 will be described and provides new insights into ERα biology and biochemistry. By shifting away from the acrylic acid moiety in GDC-0810, GDC-0927 achieved increased potency and more consistent, complete suppression of ER signaling. Co-crystal structures of both GDC-0810 and GDC-0927 with ERα will be shared. Subsequent optimization of GDC-0927 resulting in improved pharmacokinetic properties will also be highlighted.
Citation Format: Mehmet Kahraman, Steven P. Govek, Johnny Y. Nagasawa, Andiliy Lai, Celine Bonnefous, Karensa Douglas, John Sensintaffar, Nhin Lu, KyoungJin Lee, Anna Aparicio, Josh Kaufman, Jing Qian, Gang Shao, Rene Prudente, James D. Joseph, Beatrice Darimont, Daniel Brigham, Richard Heyman, Peter J. Rix, Jeffrey H. Hager, Nicholas D. Smith, Robert A. Blake, Jae Chang, Edna Choo, Anneleen Daemen, Lori S. Friedman, Jane Guan, Steven Hartman, Ellen Ingalla, James R. Kiefer, Tracy Kleinheinz, Sharada Labadie, Ciara Metcalfe, Vidhi Mody, Michelle Nannini, Deepak Sampath, Amy Young, Maia Vinogradova, Wei Zhou, Jun Liang, Xiaojing Wang. Discovery and evolution of orally bioavailable selective estrogen receptor degraders for ER+ breast cancer: From GDC-0810 to GDC-0927 [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 1648.
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Affiliation(s)
| | | | | | | | | | | | | | - Nhin Lu
- Genentech Inc, South San Francisco, CA
| | | | | | | | - Jing Qian
- Genentech Inc, South San Francisco, CA
| | - Gang Shao
- Genentech Inc, South San Francisco, CA
| | | | | | | | | | | | | | | | | | | | - Jae Chang
- Genentech Inc, South San Francisco, CA
| | - Edna Choo
- Genentech Inc, South San Francisco, CA
| | | | | | - Jane Guan
- Genentech Inc, South San Francisco, CA
| | | | | | | | | | | | | | | | | | | | - Amy Young
- Genentech Inc, South San Francisco, CA
| | | | - Wei Zhou
- Genentech Inc, South San Francisco, CA
| | - Jun Liang
- Genentech Inc, South San Francisco, CA
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9
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Mager DE, Mody V, Xu C, Forrest A, Lesniak WG, Nigavekar SS, Kariapper MT, Minc L, Khan MK, Balogh LP. Physiologically Based Pharmacokinetic Model for Composite Nanodevices: Effect of Charge and Size on In Vivo Disposition. Pharm Res 2012; 29:2534-42. [DOI: 10.1007/s11095-012-0784-7] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2012] [Accepted: 05/14/2012] [Indexed: 01/26/2023]
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10
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Söderberg PG, Löfgren S, Ayala M, Dong X, Kakar M, Mody V. Toxicity of ultraviolet radiation exposure to the lens expressed by maximum tolerable dose. Dev Ophthalmol 2002; 35:70-5. [PMID: 12061280 DOI: 10.1159/000060811] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
The maximum tolerable dose (MTD2.3:16) for avoidance of cataract on exposure to ultraviolet radiation (UVR)-300 nm in the rat was here estimated at 3.65 kJ/m2. Sprague-Dawley rats were unilaterally exposed to UVR in the 300 nm wavelength region. One week after the exposure, the intensity of forward light scattering was measured. Toxicity for continuous response events can be estimated with MTD. Current safety standards for avoidance of cataract after exposure to UVR are based on a binary response event. It has, however, recently been shown that UVR-induced cataract is a continuous dose-dependent event. MTD provides a statistically well-defined criterion of toxicity for continuous response events.
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Affiliation(s)
- P G Söderberg
- Research Department, St. Erik's Eye Hospital, Karolinska Institutet, Fleminggatan 22, SE-112 82 Stockholm, Sweden.
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11
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Louis CA, Mody V, Henry WL, Reichner JS, Albina JE. Regulation of arginase isoforms I and II by IL-4 in cultured murine peritoneal macrophages. Am J Physiol 1999; 276:R237-42. [PMID: 9887201 DOI: 10.1152/ajpregu.1999.276.1.r237] [Citation(s) in RCA: 40] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Macrophages can express two arginase isoforms with distinct subcellular localization (cytosolic AI and mitochondrial AII). These isoforms are products of different genes and are capable of differential induction. Experiments were performed to identify the specific arginase isoforms induced by interleukin (IL)-4, a Th2 cytokine shown by others to increase arginase activity in macrophages, and serum. Results indicate IL-4, in concert with serum, increases AI, but not AII, mRNA in cultured murine macrophages. Moreover, they show serum to induce both arginase isoforms and to be required for maximal AI induction by IL-4. Together with the enhanced expression of AI, IL-4 induced the expression of the cationic amino acid transporter MCAT-2 and increased L-arginine transport into the cells. Present results confirm, then, specificity in the ability of macrophage arginase isoforms to be induced by different stimuli. Moreover, they suggest that a decrease in intracellular L-arginine concentration resulting from its consumption by arginase may be repaired by concurrent increases in L-arginine influx into the cell.
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Affiliation(s)
- C A Louis
- Department of Surgery, Division of Surgical Research, Rhode Island Hospital and Brown University School of Medicine, Providence, Rhode Island 02903, USA
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12
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Olopoenia LA, Mody V, Reynolds M. Eikenella corrodens endocarditis in an intravenous drug user: case report and literature review. J Natl Med Assoc 1994; 86:313-5. [PMID: 8040909 PMCID: PMC2607643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
A rare case of Eikenella corrodens endocarditis in an intravenous drug user is reported. Repeated blood cultures from the patient established the diagnosis of this infection. However, evaluation of the cardiac function using two-dimensional echocardiography with Doppler flow demonstrated a large pedunculated tricuspid vegetation. Also evident on this study was a dilated right ventricle with diminished contractility and regurgitation. Complete sterilization of the blood was achieved after a 2-week course of intravenous penicillin and gentamicin followed by an additional 4-week course of intravenous penicillin alone. Clinicians treating suspected IV drug users should be aware of the potential pathogenicity of this rare, facultative, anaerobic gram-negative bacillus (E corrodens). A combination of intravenous penicillin and aminoglycoside should be considered as the initial treatment followed by an additional course of intravenous penicillin for such patients with valvular vegetation.
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Affiliation(s)
- L A Olopoenia
- Department of Medicine, Howard University Hospital, Washington, DC
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13
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Cruz I, Mody V, Callender C, Hosten A. Malaria infection in transplant recipient. J Natl Med Assoc 1978; 70:105-7. [PMID: 359818 PMCID: PMC2537064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
A case of P. malariae infection occurring in a kidney transplant recipient is reported. The diagnosis was delayed because of atypical clinical presentation secondary to altered immune response. Serologic tests for antimalarial antibody are not reliable and diagnosis is established by visualization of the parasites in the peripheral blood smear. We can only guess what role this infection played in rejection of the transplant and whether earlier diagnosis and treatment would have saved it.
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14
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Riker JB, Joglekar H, Mody V. Pneumonia and the alcoholic: an epidemiologic study. Med Ann Dist Columbia 1972; 41:6-15. [PMID: 4500537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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