ArticleAnalytica chimica acta2021
Spatially resolved quantification of drug metabolism and efficacy in 3D paper-based tumor mimics.
Article in Analytica chimica acta, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Opportunities and challenges for analytical chemists: organ-on-chip devices as new approach methods (NAMs) for identifying potential toxins.The Analyst · 2026Review
- A design-of-experiments strategy for engineering 3D topographical features in osteosarcoma modelling.Materials today. Bio · 2025Article
- Mass Spectrometry-Based Applications of Spheroids in Cancer Biology.Annual review of analytical chemistry (Palo Alto, Calif.) · 2025Review
- Co-culture of natural killer cells and tumor spheroids on a heterogeneous multilayer paper stack.Journal of Zhejiang University. Science. B · 2024Article
- Continuous flow delivery system for the perfusion of scaffold-based 3D cultures.Lab on a chip · 2024Article
- Exploring New Dimensions of Tumor Heterogeneity: The Application of Single Cell Analysis to Organoid-Based 3D In Vitro Models.Advanced healthcare materials · 2023Review
- Selecting the appropriate indirect viability assay for 3D paper-based cultures: a data-driven study.The Analyst · 2023Article
- Evaluating the Impact of Physiologically Relevant Oxygen Tensions on Drug Metabolism in 3D Hepatocyte Cultures in Paper Scaffolds.Current protocols · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Paper-based cultures are an emerging platform for preparing three-dimensional (3D) tissue- and tumor-like structures. The ability to stack individual sheets of cell-containing paper affords a modular means of assembling structures with defined cellular compositions and microenvironments. These layered stacks are easily separated at the end of an experiment, providing spatially resolved populations of live cells for further analysis. Here we describe a workflow in which cell viability, drug penetration, and drug metabolism are quantified in a spatially resolved manner. Specifically, we mapped the distribution of the drug irinotecan and its bioactive metabolite SN38 in a colorectal cancer cell-containing stacked structure with liquid chromatography-mass spectrometry (LC-MS). This paper provides the first example of a 3D culture platform that quantifies viability and drug metabolism in a spatially resolved manner. Our data show that cells at the bottom of the stack are more drug-resistant than layers in contact with the culture medium, similar to cells in the nutrient-poor center of a proliferating tumor being more drug-resistant than the rapidly dividing cells at its periphery. The powerful combination of quantitative viability and drug metabolism measurements will enable future studies to determine the exact mechanism(s) of drug resistance in different regions of a tumor.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.