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Updated: Dec 21, 2025

A Three-dimensional Model of Spheroids to Study Colon Cancer Stem Cells
Published on: January 22, 2021
Characterization of an Alginate Encapsulated LS180 Spheroid Model for Anti-colorectal Cancer Compound Screening
Tanya Smit1, Carlemi Calitz1, Clarissa Willers1
1Pharmacen, Centre of Excellence for Pharmaceutical Sciences, North-West University, Private Bag X6001, Potchefstroom 2520, South Africa.
Abstract:
Colorectal cancer is one of the leading causes of cancer-related deaths. A main problem for its treatment is resistance to chemotherapy, requiring the development of new drugs. The success rate of new candidate cancer drugs in clinical trials remains dismal. Three-dimensional (3D) cell culture models have been proposed to bridge the current gap between in vitro chemotherapeutic studies and the human in vivo, due to shortcomings in the physiological relevance of the commonly used two-dimensional cell culture models. In this study, LS180 colorectal cancer cells were cultured as 3D sodium alginate encapsulated spheroids in clinostat bioreactors. Growth and viability were evaluated for 20 days to determine the ideal experimental window. The 3- (4,5- dimethylthiazol- 2- yl)-2,5-diphenyltetrazolium bromide assay was then used to establish half maximal inhibitory concentrations for the standard chemotherapeutic drug, paclitaxel. This concentration was used to further evaluate the established 3D model. During model characterization and evaluation soluble protein content, intracellular adenosine triphosphate levels, extracellular adenylate kinase, glucose consumption, and P-glycoprotein (P-gp) gene expression were measured. Use of the model for chemotherapeutic treatment screening was evaluated using two concentrations of paclitaxel, and treatment continued for 96 h. Paclitaxel caused a decrease in cell growth, viability, and glucose consumption in the model. Furthermore, relative expression of P-gp increased compared to the untreated control group. This is a typical resistance-producing change, seen in vivo and known to be a result of paclitaxel treatment. It was concluded that the LS180 sodium alginate encapsulated spheroid model could be used for testing new chemotherapeutic compounds for colorectal cancer.
Insights
A new three-dimensional (3D) spheroid model using LS180 colorectal cancer cells effectively mimics in vivo chemotherapy resistance. This 3D model shows promise for screening new colorectal cancer drugs and improving treatment outcomes.
Area of Science:
- Oncology
- Biotechnology
- Cell Biology
Background:
- Colorectal cancer (CRC) is a major cause of cancer mortality, with chemotherapy resistance hindering effective treatment.
- Current two-dimensional (2D) cell culture models lack the physiological relevance needed to accurately predict drug efficacy.
- Developing more predictive in vitro models is crucial for advancing CRC drug discovery.
Purpose of the Study:
- To develop and characterize a novel three-dimensional (3D) cell culture model for colorectal cancer (CRC).
- To evaluate the utility of this 3D model in assessing chemotherapy response and resistance mechanisms.
- To establish an optimized experimental window for using the 3D model in drug screening.
Main Methods:
- LS180 colorectal cancer cells were cultured as 3D spheroids within sodium alginate in clinostat bioreactors.
- Cell growth, viability, and metabolic activity (ATP, glucose consumption) were assessed over 20 days.
- Chemotherapeutic efficacy of paclitaxel was evaluated, measuring P-glycoprotein (P-gp) gene expression.
Main Results:
- The 3D spheroid model demonstrated stable growth and viability within an optimal experimental window.
- Paclitaxel treatment in the 3D model led to reduced cell growth, viability, and glucose consumption.
- A significant increase in P-glycoprotein (P-gp) gene expression was observed, indicating acquired chemoresistance.
Conclusions:
- The LS180 sodium alginate encapsulated 3D spheroid model accurately replicates in vivo chemotherapy resistance mechanisms.
- This 3D model serves as a valuable platform for screening novel chemotherapeutic agents for colorectal cancer.
- The model's ability to predict resistance highlights its potential to improve the success rate of CRC drug development.

