000095733 001__ 95733 000095733 005__ 20210902121608.0 000095733 0247_ $$2doi$$a10.1016/j.drup.2019.100658 000095733 0248_ $$2sideral$$a114729 000095733 037__ $$aART-2020-114729 000095733 041__ $$aeng 000095733 100__ $$aAndrei, Luca 000095733 245__ $$aAdvanced technological tools to study multidrug resistance in cancer 000095733 260__ $$c2020 000095733 5060_ $$aAccess copy available to the general public$$fUnrestricted 000095733 5203_ $$aThe 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. 000095733 536__ $$9info:eu-repo/grantAgreement/EC/H2020/766884/EU/Organ on Chip in Development/ORCHID$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 766884-ORCHID$$9info:eu-repo/grantAgreement/EC/H2020/778354/EU/Heart On chip based on induced pluripotent Stem cell Technology for personalized Medicine/CISTEM$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 778354-CISTEM$$9info:eu-repo/grantAgreement/ES/MINECO/BIO2016-79092-R 000095733 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/ 000095733 590__ $$a18.5$$b2020 000095733 591__ $$aPHARMACOLOGY & PHARMACY$$b3 / 275 = 0.011$$c2020$$dQ1$$eT1 000095733 592__ $$a4.01$$b2020 000095733 593__ $$aCancer Research$$c2020$$dQ1 000095733 593__ $$aInfectious Diseases$$c2020$$dQ1 000095733 593__ $$aPharmacology (medical)$$c2020$$dQ1 000095733 593__ $$aPharmacology$$c2020$$dQ1 000095733 593__ $$aOncology$$c2020$$dQ1 000095733 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000095733 700__ $$aKasas, Sandor 000095733 700__ $$0(orcid)0000-0003-2410-5678$$aOchoa Garrido, Ignacio$$uUniversidad de Zaragoza 000095733 700__ $$aStankovic, Tijana 000095733 700__ $$aSuárez Korsnes, Mónica 000095733 700__ $$aVaclavikova, Radka 000095733 700__ $$aAssaraf, Yehuda G. 000095733 700__ $$aPešic, Milica 000095733 7102_ $$11003$$2443$$aUniversidad de Zaragoza$$bDpto. Anatom.Histolog.Humanas$$cArea Histología 000095733 773__ $$g48 (2020), 100658 [19 pp.]$$pDrug resist. updat.$$tDRUG RESISTANCE UPDATES$$x1368-7646 000095733 85641 $$uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85074136231&doi=10.1016%2fj.drup.2019.100658&partnerID=40&md5=12c1f93d2e06d48b8205497878a1c6e1$$zTexto completo de la revista 000095733 8564_ $$s566012$$uhttps://zaguan.unizar.es/record/95733/files/texto_completo.pdf$$yPostprint 000095733 8564_ $$s277550$$uhttps://zaguan.unizar.es/record/95733/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000095733 909CO $$ooai:zaguan.unizar.es:95733$$particulos$$pdriver 000095733 951__ $$a2021-09-02-08:39:03 000095733 980__ $$aARTICLE