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      Bioprinting for cancer research.

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          Abstract

          Bioprinting offers the ability to create highly complex 3D architectures with living cells. This cutting-edge technique has significantly gained popularity and applicability in several fields. Bioprinting methods have been developed to effectively and rapidly pattern living cells, biological macromolecules, and biomaterials. These technologies hold great potential for applications in cancer research. Bioprinted cancer models represent a significant improvement over previous 2D models by mimicking 3D complexity and facilitating physiologically relevant cell-cell and cell-matrix interactions. Here we review bioprinting methods based on inkjet, microextrusion, and laser technologies and compare 3D cancer models with 2D cancer models. We discuss bioprinted models that mimic the tumor microenvironment, providing a platform for deeper understanding of cancer pathology, anticancer drug screening, and cancer treatment development.

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          Author and article information

          Journal
          Trends Biotechnol.
          Trends in biotechnology
          1879-3096
          0167-7799
          Sep 2015
          : 33
          : 9
          Affiliations
          [1 ] Department of Biomedical Engineering, University of Connecticut, 260 Glenbrook Road, Storrs, CT 06269, USA.
          [2 ] Department of Mechanical Engineering, University of Connecticut, 191 Auditorium Road, Storrs, CT 06269, USA.
          [3 ] Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA; Cancer Biology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02215, USA.
          [4 ] Department of Biomedical Engineering, University of Connecticut, 260 Glenbrook Road, Storrs, CT 06269, USA; Department of Mechanical Engineering, University of Connecticut, 191 Auditorium Road, Storrs, CT 06269, USA. Electronic address: savas@engr.uconn.edu.
          Article
          S0167-7799(15)00135-3
          10.1016/j.tibtech.2015.06.007
          26216543
          c1c4de5c-c2c2-459c-a94b-e195d06386bb
          Copyright © 2015 Elsevier Ltd. All rights reserved.
          History

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