bioRxivCancer Biology
Measurement and models accounting for cell death capture hidden variation in compound response
Abstract
Cancer cell sensitivity or resistance is almost universally quantified through a direct or surrogate measure of cell number. However, compound responses can occur through many distinct phenotypic outcomes including changes in cell growth, apoptosis, and non-apoptotic cell death. These outcomes have distinct effects on the tumor microenvironment, immune responses, and resistance mechanisms. Here, we show that quantifying cell viability alone is insufficient to distinguish between these compound responses. Using an alternative assay and drug response analysis amenable to high-throughput measurement, we find that compounds with identical viability outcomes can have very different effects on cell growth and death. Moreover, compound pairs with additive cell growth and death effects can appear synergistic when only assessed by viability. Overall, these results demonstrate an approach to incorporating measurements of cell death when characterizing a pharmacologic response. Summary PointsO_LIMeasurements of solely live cell numbers mask important differences in compound effects. C_LIO_LIAdditive effects on growth and death rates can appear synergistic when analyzed solely via live cell number. C_LIO_LIAutomated imaging can provide reasonable throughput to analyze cell response in terms of cell growth and death, and endpoint analysis is similarly informative. C_LI
- organism: human
- assay: bulk RNA-seq
- research focus: drug response / drug discovery
- research focus: cell signaling & trafficking
- research focus: cancer & tumor microenvironment
- approach: experimental assay
- approach: statistical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Drug GRADE: an integrated analysis of population growth and cell death reveals drug- specific and cancer subtype-specific response profiles
Hannah R. Schwartz, Ryan Richards, … Michael J. Lee·Cell ReportsPeer-reviewed·Jun 1, 2020
- Mechanistic modeling of cell viability assays with in silico lineage tracing
Arnab Mutsuddy, Jonah R. Huggins, … Marc R. Birtwistle·PLoS Computational BiologyPeer-reviewed·Aug 29, 2025
- A normalized drug response metric improves accuracy and consistency of drug sensitivity quantification in cell-based screening
Abhishekh Gupta, Prson Gautam, … Tero A. Aittokallio·Communications BiologyPeer-reviewed·Jan 23, 2020
- VITAL-3D: Volumetric Single-Cell Quantification Reveals Microenvironment-Dependent Drug Responses in Breast Cancer
Chongguang Jin, Tiffany Chu, … Pei-Hsun Wu·bioRxiv·Sep 2, 2026
- Real-time luminescence enables continuous drug-response analysis in adherent and suspension cell lines
Clayton M. Wandishin, Charles T. Robbins, … Vito Quaranta·Cancer Biology & TherapyPeer-reviewed·Apr 21, 2022
- Detection and characterization of apoptotic and necrotic cell death by time-lapse quantitative phase image analysis
T. Vicar, M. Raudenska, … J. Balvan·bioRxiv·Mar 27, 2019