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Tumor microenvironment complexity and therapeutic implications at a glance

Roghayyeh BaghbanDepartment of Medical Biotechnology, School of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, IranLeila RoshangarStem Cell Research Center, Tabriz University of Medical Sciences, Tabriz, IranRana Jahanban‐EsfahlanDepartment of Medical Biotechnology, School of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran. [email protected]Khaled SeidiBiotechnology Research Center, Tabriz University of Medical Sciences, Tabriz, IranAbbas Ebrahimi‐KalanDepartment of Neurosciences and Cognitive, School of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, IranMehdi JaymandNano Drug Delivery Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah, IranSaeed KolahianTahereh JavaheriHealth Informatics Lab, Metropolitan College, Boston University, Boston, USA. [email protected]Payman ZareDioscuri Center of Chromatin Biology and Epigenomics, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland. [email protected]
2020en
ABI

Annotatsiya

The dynamic interactions of cancer cells with their microenvironment consisting of stromal cells (cellular part) and extracellular matrix (ECM) components (non-cellular) is essential to stimulate the heterogeneity of cancer cell, clonal evolution and to increase the multidrug resistance ending in cancer cell progression and metastasis. The reciprocal cell-cell/ECM interaction and tumor cell hijacking of non-malignant cells force stromal cells to lose their function and acquire new phenotypes that promote development and invasion of tumor cells. Understanding the underlying cellular and molecular mechanisms governing these interactions can be used as a novel strategy to indirectly disrupt cancer cell interplay and contribute to the development of efficient and safe therapeutic strategies to fight cancer. Furthermore, the tumor-derived circulating materials can also be used as cancer diagnostic tools to precisely predict and monitor the outcome of therapy. This review evaluates such potentials in various advanced cancer models, with a focus on 3D systems as well as lab-on-chip devices. Video abstract.

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