Cell Culture Model Evolution and Its Impact on Improving Therapy Efficiency in Lung Cancer

Author:

Roman Viviana1ORCID,Mihaila Mirela1ORCID,Radu Nicoleta23ORCID,Marineata Stefania4,Diaconu Carmen Cristina5ORCID,Bostan Marinela16ORCID

Affiliation:

1. Center of Immunology, Stefan S. Nicolau Institute of Virology, Romanian Academy, 030304 Bucharest, Romania

2. Department of Biotechnology, University of Agronomic Sciences and Veterinary Medicine of Bucharest, 011464 Bucharest, Romania

3. Biotechnology Department, National Institute for Chemistry and Petrochemistry R&D of Bucharest, 060021 Bucharest, Romania

4. Faculty of Medicine, University of Medicine and Pharmacy Carol Davila, 050471 Bucharest, Romania

5. Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, 030304 Bucharest, Romania

6. Department of Immunology, ‘Victor Babeș’ National Institute of Pathology, 050096 Bucharest, Romania

Abstract

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.

Funder

ERAPerMed_Joint Transnational Call for Proposal (2019) for Personalised Medicine

Publisher

MDPI AG

Subject

Cancer Research,Oncology

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