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

## TL;DR

A new 3D cancer cell model is developed to improve drug testing by making cancer cells more responsive to treatments.

## Contribution

A sensitized 3D spheroid model using adenovirus-mediated gene expression to enhance drug responsiveness is established.

## Key findings

- Adenovirus-infected 3D spheroids showed increased apoptotic activity and cell death.
- Sensitized spheroids exhibited enhanced drug responsiveness and synergistic effects with lower drug doses.
- The model improves in vitro drug discovery by enabling better mechanistic evaluation and translational drug identification.

## 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.