학술논문

Cell Culture Model Evolution and Its Impact on Improving Therapy Efficiency in Lung Cancer.
Document Type
Article
Source
Cancers. Oct2023, Vol. 15 Issue 20, p4996. 28p.
Subject
*TREATMENT of lung tumors
*BIOLOGICAL models
*BIOMARKERS
*CELL culture
*STRUCTURAL models
*LUNG tumors
*INDIVIDUALIZED medicine
*BIOMEDICAL engineering
*STEM cells
*MICROFLUIDICS
Language
ISSN
2072-6694
Abstract
Simple Summary: The lack of models capable of reproducing the cellular mechanisms responsible for cancer progression in vivo makes it difficult to develop effective anticancer treatments. In this review, we provide an overview of the progress made in developing 2D to 3D cell culture models and the future challenges associated with microfluidic devices for personalized medicine in cancer therapy, with a particular focus on lung cancer. We also discuss the advantages and limitations of 3D cell culture models, such as spheroids, organoids and bioprinted tissues, as well as microfluidic technology. Finally, we present the challenges and future perspectives of 3D microtechnology in lung cancer and its potential impact on both diagnosis and treatment. Optimizing cell culture conditions is essential to ensure experimental reproducibility. To improve the accuracy of preclinical predictions about the response of tumor cells to different classes of drugs, researchers have used 2D or 3D cell cultures in vitro to mimic the cellular processes occurring in vivo. While 2D cell culture provides valuable information on how therapeutic agents act on tumor cells, it cannot quantify how the tumor microenvironment influences the response to therapy. This review presents the necessary strategies for transitioning from 2D to 3D cell cultures, which have facilitated the rapid evolution of bioengineering techniques, leading to the development of microfluidic technology, including organ-on-chip and tumor-on-chip devices. Additionally, the study aims to highlight the impact of the advent of 3D bioprinting and microfluidic technology and their implications for improving cancer treatment and approaching personalized therapy, especially for lung cancer. Furthermore, implementing microfluidic technology in cancer studies can generate a series of challenges and future perspectives that lead to the discovery of new predictive markers or targets for antitumor treatment. [ABSTRACT FROM AUTHOR]