95733 20210902121608.0 doi 10.1016/j.drup.2019.100658 sideral 114729 ART-2020-114729 eng Andrei, Luca Advanced technological tools to study multidrug resistance in cancer 2020 Access copy available to the general public Unrestricted 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. info:eu-repo/grantAgreement/EC/H2020/766884/EU/Organ on Chip in Development/ORCHID This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 766884-ORCHID info:eu-repo/grantAgreement/EC/H2020/778354/EU/Heart On chip based on induced pluripotent Stem cell Technology for personalized Medicine/CISTEM This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 778354-CISTEM info:eu-repo/grantAgreement/ES/MINECO/BIO2016-79092-R info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 18.5 2020 PHARMACOLOGY & PHARMACY 3 / 275 = 0.011 2020 Q1 T1 4.01 2020 Cancer Research 2020 Q1 Infectious Diseases 2020 Q1 Pharmacology (medical) 2020 Q1 Pharmacology 2020 Q1 Oncology 2020 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Kasas, Sandor Ochoa Garrido, Ignacio Universidad de Zaragoza (orcid)0000-0003-2410-5678 Stankovic, Tijana Suárez Korsnes, Mónica Vaclavikova, Radka Assaraf, Yehuda G. Pešic, Milica 1003 443 Universidad de Zaragoza Dpto. Anatom.Histolog.Humanas Area Histología 48 (2020), 100658 [19 pp.] Drug resist. updat. DRUG RESISTANCE UPDATES 1368-7646 566012 http://zaguan.unizar.es/record/95733/files/texto_completo.pdf Postprint 277550 http://zaguan.unizar.es/record/95733/files/texto_completo.jpg?subformat=icon icon Postprint https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074136231&doi=10.1016%2fj.drup.2019.100658&partnerID=40&md5=12c1f93d2e06d48b8205497878a1c6e1 Texto completo de la revista oai:zaguan.unizar.es:95733 articulos driver 2021-09-02-08:39:03 ARTICLE