Advanced technological tools to study multidrug resistance in cancer.

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State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_4956D7F37617
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Advanced technological tools to study multidrug resistance in cancer.
Journal
Drug resistance updates
Author(s)
Andrei L., Kasas S., Ochoa Garrido I., Stanković T., Suárez Korsnes M., Vaclavikova R., Assaraf Y.G., Pešić M.
ISSN
1532-2084 (Electronic)
ISSN-L
1368-7646
Publication state
Published
Issued date
01/2020
Peer-reviewed
Oui
Volume
48
Pages
100658
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't ; Review
Publication Status: ppublish
Abstract
The complexity of cancer biology and its clinical manifestation are driven by genetic, epigenetic, transcriptomic, proteomic and metabolomic alterations, supported by genomic instability as well as by environmental conditions and lifestyle factors. Although novel therapeutic modalities are being introduced, efficacious cancer therapy is not achieved due to the frequent emergence of distinct mechanisms of multidrug resistance (MDR). Advanced technologies with the potential to identify and characterize cancer MDR could aid in selecting the most efficacious therapeutic regimens and prevent inappropriate treatments of cancer patients. Herein, we aim to present technological tools that will enhance our ability to surmount drug resistance in cancer in the upcoming decade. Some of these tools are already in practice such as next-generation sequencing. Identification of genes and different types of RNAs contributing to the MDR phenotype, as well as their molecular targets, are of paramount importance for the development of new therapeutic strategies aimed to enhance drug response in resistant tumors. Other techniques known for many decades are in the process of adaptation and improvement to study cancer cells' characteristics and biological behavior including atomic force microscopy (AFM) and live-cell imaging. AFM can monitor in real-time single molecules or molecular complexes as well as structural alterations occurring in cancer cells induced upon treatment with various antitumor agents. Cell tracking methodologies and software tools recently progressed towards quantitative analysis of the spatio-temporal dynamics of heterogeneous cancer cell populations and enabled direct monitoring of cells and their descendants in 3D cultures. Besides, novel 3D systems with the advanced mimicking of the in vivo tumor microenvironment are applicable to study different cancer biology phenotypes, particularly drug-resistant and aggressive ones. They are also suitable for investigating new anticancer treatment modalities. The ultimate goal of using phenotype-driven 3D cultures for the investigation of patient biopsies as the most appropriate in vivo mimicking model, can be achieved in the near future.
Keywords
Animals, Biotechnology/methods, Cell Culture Techniques/methods, Drug Resistance, Multiple/genetics, Drug Resistance, Neoplasm/genetics, High-Throughput Nucleotide Sequencing/methods, Humans, Microscopy, Atomic Force/methods, Neoplasms/genetics, Neoplasms/pathology, Tumor Microenvironment/genetics, 3D cultures, Atomic force microscopy, Cancer multidrug resistance, Microfluidic devices, Next-generation sequencing, Single live-cell tracking
Pubmed
Web of science
Open Access
Yes
Create date
08/11/2019 0:19
Last modification date
04/02/2021 7:25
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