Establishment of a Sensitized 3D Spheroid Cancer Cell Model for Enhanced Anti-Cancer Drug Discovery

Three-dimensional (3D) spheroid cancer models provide enhanced physiological relevance relative to traditional monolayer cultures but often demonstrate restricted drug responsiveness due to their dense architecture, hypoxic gradients, and diminished therapeutic penetrance. This study overcomes these limitations by establishing a sensitized 3D spheroid cancer cell model that employs the adenovirus-mediated gene expressions of tumor-suppressor and pro-apoptotic genes consisting of MOAP-1, BAX, and RASSF1A. The optimization of adenoviral infectivity led to the discovery of an intermediate multiplicity of infection (MOI) that facilitated effective and uniform transduction while reducing cytotoxicity. Adenovirus-infected 3D spheroid cells demonstrated enhanced apoptotic activities, evidenced by increased cell death relative to untreated spheroids. When exposed to the anti-cancer compound such as piperonal and pyrazole, the sensitized spheroids exhibited significantly enhanced drug responsiveness and synergistic effects over a five-day treatment period, surpassing the effects of adenovirus or anti-cancer drug treatment alone. Notably, similar responses were noted between low- and high drug doses, suggesting an enhancement of therapeutic efficacy at lower concentrations. This sensitized 3D spheroid model constitutes a more predictive in vitro system for anti-cancer drug discovery, facilitating enhanced mechanistic evaluation and the identification of potent drug candidates with greater translational significance.

Authors

Institutions

Publication Details

Journal
Methods and Protocols
Published
2026-03-16
DOI
https://doi.org/10.3390/mps9020049
Primary Topic
Cancer Research and Treatments
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Establishment of a Sensitized 3D Spheroid Cancer Cell Model for Enhanced Anti-Cancer Drug Discovery

Ee Wern Tan, Shi Hui Law, Kuan Onn Tan, Bey Hing Goh et al.
Methods and Protocols
Cancer Research and Treatments
article

Establishment of a Sensitized 3D Spheroid Cancer Cell Model for Enhanced Anti-Cancer Drug Discovery

Ee Wern Tan, Shi Hui Law, Kuan Onn Tan, Bey Hing Goh, Tien Yang Goh
article en

Abstract

Three-dimensional (3D) spheroid cancer models provide enhanced physiological relevance relative to traditional monolayer cultures but often demonstrate restricted drug responsiveness due to their dense architecture, hypoxic gradients, and diminished therapeutic penetrance. This study overcomes these limitations by establishing a sensitized 3D spheroid cancer cell model that employs the adenovirus-mediated gene expressions of tumor-suppressor and pro-apoptotic genes consisting of MOAP-1, BAX, and RASSF1A. The optimization of adenoviral infectivity led to the discovery of an intermediate multiplicity of infection (MOI) that facilitated effective and uniform transduction while reducing cytotoxicity. Adenovirus-infected 3D spheroid cells demonstrated enhanced apoptotic activities, evidenced by increased cell death relative to untreated spheroids. When exposed to the anti-cancer compound such as piperonal and pyrazole, the sensitized spheroids exhibited significantly enhanced drug responsiveness and synergistic effects over a five-day treatment period, surpassing the effects of adenovirus or anti-cancer drug treatment alone. Notably, similar responses were noted between low- and high drug doses, suggesting an enhancement of therapeutic efficacy at lower concentrations. This sensitized 3D spheroid model constitutes a more predictive in vitro system for anti-cancer drug discovery, facilitating enhanced mechanistic evaluation and the identification of potent drug candidates with greater translational significance.

Methods and ProtocolsVol. 9(2)
University of Technology Sydney (AU), National University of Singapore (SG), Taipei Medical University (TW), Sunway University (MY)
Sunway University
Good health and well-being
Openalex Percentile: Top 25%
Cancer Research and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.