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Simultaneous Modeling of Biomarker and Toxicity Response Predicted Optimal Regimen of Guadecitabine (SGI‐110) in Myeloid Malignancies
Guadecitabine (SGI‐110) is a novel next‐generation hypomethylating agent (HMA) administered as s.c. injection with extended decitabine exposure. Dose/exposure‐response analyses of longitudinal measures of long interspersed nucleotide element‐1 (LINE‐1) methylation and absolute neutrophil counts (ANC...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5658282/ https://www.ncbi.nlm.nih.gov/pubmed/28960845 http://dx.doi.org/10.1002/psp4.12248 |
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author | Xu, Cong Goggin, Timothy K. Su, Xiang‐Yao Taverna, Pietro Oganesian, Aram Lowder, James N. Azab, Mohammad Kantarjian, Hagop |
author_facet | Xu, Cong Goggin, Timothy K. Su, Xiang‐Yao Taverna, Pietro Oganesian, Aram Lowder, James N. Azab, Mohammad Kantarjian, Hagop |
author_sort | Xu, Cong |
collection | PubMed |
description | Guadecitabine (SGI‐110) is a novel next‐generation hypomethylating agent (HMA) administered as s.c. injection with extended decitabine exposure. Dose/exposure‐response analyses of longitudinal measures of long interspersed nucleotide element‐1 (LINE‐1) methylation and absolute neutrophil counts (ANC) pooled from 79 and 369 patients in 2 phase I/II trials, respectively, were performed to assist, through modeling and simulation, the selection of dosing regimens for phase III. Simulation of ANC predicted a decrease after a 5‐day regimen of 60 mg/m(2) with partial recovery before the next cycle, whereas the nadir of 90 mg/m(2) on the same schedule was below 100/µl. ANC following a 60 mg/m(2) 10‐day regimen was predicted to be suppressed below 100/µl as long as treatment continued without recovery. The developed models provided useful tools to assist simultaneous evaluation of the relative dynamics of the two effects (DNA demethylation and the effect on ANC). |
format | Online Article Text |
id | pubmed-5658282 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56582822017-10-27 Simultaneous Modeling of Biomarker and Toxicity Response Predicted Optimal Regimen of Guadecitabine (SGI‐110) in Myeloid Malignancies Xu, Cong Goggin, Timothy K. Su, Xiang‐Yao Taverna, Pietro Oganesian, Aram Lowder, James N. Azab, Mohammad Kantarjian, Hagop CPT Pharmacometrics Syst Pharmacol Original Articles Guadecitabine (SGI‐110) is a novel next‐generation hypomethylating agent (HMA) administered as s.c. injection with extended decitabine exposure. Dose/exposure‐response analyses of longitudinal measures of long interspersed nucleotide element‐1 (LINE‐1) methylation and absolute neutrophil counts (ANC) pooled from 79 and 369 patients in 2 phase I/II trials, respectively, were performed to assist, through modeling and simulation, the selection of dosing regimens for phase III. Simulation of ANC predicted a decrease after a 5‐day regimen of 60 mg/m(2) with partial recovery before the next cycle, whereas the nadir of 90 mg/m(2) on the same schedule was below 100/µl. ANC following a 60 mg/m(2) 10‐day regimen was predicted to be suppressed below 100/µl as long as treatment continued without recovery. The developed models provided useful tools to assist simultaneous evaluation of the relative dynamics of the two effects (DNA demethylation and the effect on ANC). John Wiley and Sons Inc. 2017-09-28 2017-10 /pmc/articles/PMC5658282/ /pubmed/28960845 http://dx.doi.org/10.1002/psp4.12248 Text en © 2017 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Articles Xu, Cong Goggin, Timothy K. Su, Xiang‐Yao Taverna, Pietro Oganesian, Aram Lowder, James N. Azab, Mohammad Kantarjian, Hagop Simultaneous Modeling of Biomarker and Toxicity Response Predicted Optimal Regimen of Guadecitabine (SGI‐110) in Myeloid Malignancies |
title | Simultaneous Modeling of Biomarker and Toxicity Response Predicted Optimal Regimen of Guadecitabine (SGI‐110) in Myeloid Malignancies |
title_full | Simultaneous Modeling of Biomarker and Toxicity Response Predicted Optimal Regimen of Guadecitabine (SGI‐110) in Myeloid Malignancies |
title_fullStr | Simultaneous Modeling of Biomarker and Toxicity Response Predicted Optimal Regimen of Guadecitabine (SGI‐110) in Myeloid Malignancies |
title_full_unstemmed | Simultaneous Modeling of Biomarker and Toxicity Response Predicted Optimal Regimen of Guadecitabine (SGI‐110) in Myeloid Malignancies |
title_short | Simultaneous Modeling of Biomarker and Toxicity Response Predicted Optimal Regimen of Guadecitabine (SGI‐110) in Myeloid Malignancies |
title_sort | simultaneous modeling of biomarker and toxicity response predicted optimal regimen of guadecitabine (sgi‐110) in myeloid malignancies |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5658282/ https://www.ncbi.nlm.nih.gov/pubmed/28960845 http://dx.doi.org/10.1002/psp4.12248 |
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