Estimating dose-specific cell division and apoptosis rates from chemo-sensitivity experiments

Abstract In-vitro chemo-sensitivity experiments are an essential step in the early stages of cancer therapy development, but existing data analysis methods suffer from problems with fitting, do not permit assessment of uncertainty, and can give misleading estimates of cell growth inhibition. We pres...

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Autores principales: Yiyi Liu, Forrest W. Crawford
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/49deb11bf7ae455090e308a5693ea20e
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spelling oai:doaj.org-article:49deb11bf7ae455090e308a5693ea20e2021-12-02T15:08:53ZEstimating dose-specific cell division and apoptosis rates from chemo-sensitivity experiments10.1038/s41598-018-21017-52045-2322https://doaj.org/article/49deb11bf7ae455090e308a5693ea20e2018-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-21017-5https://doaj.org/toc/2045-2322Abstract In-vitro chemo-sensitivity experiments are an essential step in the early stages of cancer therapy development, but existing data analysis methods suffer from problems with fitting, do not permit assessment of uncertainty, and can give misleading estimates of cell growth inhibition. We present an approach (bdChemo) based on a mechanistic model of cell division and death that permits rigorous statistical analyses of chemo-sensitivity experiment data by simultaneous estimation of cell division and apoptosis rates as functions of dose, without making strong assumptions about the shape of the dose-response curve. We demonstrate the utility of this method using a large-scale NCI-DREAM challenge dataset. We developed an R package “bdChemo” implementing this method, available at https://github.com/YiyiLiu1/bdChemo.Yiyi LiuForrest W. CrawfordNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-8 (2018)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Yiyi Liu
Forrest W. Crawford
Estimating dose-specific cell division and apoptosis rates from chemo-sensitivity experiments
description Abstract In-vitro chemo-sensitivity experiments are an essential step in the early stages of cancer therapy development, but existing data analysis methods suffer from problems with fitting, do not permit assessment of uncertainty, and can give misleading estimates of cell growth inhibition. We present an approach (bdChemo) based on a mechanistic model of cell division and death that permits rigorous statistical analyses of chemo-sensitivity experiment data by simultaneous estimation of cell division and apoptosis rates as functions of dose, without making strong assumptions about the shape of the dose-response curve. We demonstrate the utility of this method using a large-scale NCI-DREAM challenge dataset. We developed an R package “bdChemo” implementing this method, available at https://github.com/YiyiLiu1/bdChemo.
format article
author Yiyi Liu
Forrest W. Crawford
author_facet Yiyi Liu
Forrest W. Crawford
author_sort Yiyi Liu
title Estimating dose-specific cell division and apoptosis rates from chemo-sensitivity experiments
title_short Estimating dose-specific cell division and apoptosis rates from chemo-sensitivity experiments
title_full Estimating dose-specific cell division and apoptosis rates from chemo-sensitivity experiments
title_fullStr Estimating dose-specific cell division and apoptosis rates from chemo-sensitivity experiments
title_full_unstemmed Estimating dose-specific cell division and apoptosis rates from chemo-sensitivity experiments
title_sort estimating dose-specific cell division and apoptosis rates from chemo-sensitivity experiments
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/49deb11bf7ae455090e308a5693ea20e
work_keys_str_mv AT yiyiliu estimatingdosespecificcelldivisionandapoptosisratesfromchemosensitivityexperiments
AT forrestwcrawford estimatingdosespecificcelldivisionandapoptosisratesfromchemosensitivityexperiments
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