Literature DB >> 33705602

Evolution of Metastasis Study Models toward Metastasis-On-A-Chip: The Ultimate Model?

Jesús Ruiz-Espigares1,2,3,4, Daniel Nieto5,6, Lorenzo Moroni6, Gema Jiménez1,2,3,4, Juan Antonio Marchal1,2,3,4.   

Abstract

For decades, several attempts have been made to obtain a mimetic model for the study of metastasis, the reason of most of deaths caused by cancer, in order to solve the unknown phenomena surrounding this disease. To better understand this cellular dissemination process, more realistic models are needed that are capable of faithfully recreating the entire and essential tumor microenvironment (TME). Thus, new tools known as tumor-on-a-chip and metastasis-on-a-chip have been recently proposed. These tools incorporate microfluidic systems and small culture chambers where TME can be faithfully modeled thanks to 3D bioprinting. In this work, a literature review has been developed about the different phases of metastasis, the remaining unknowns and the use of new models to study this disease. The aim is to provide a global vision of the current panorama and the great potential that these systems have for in vitro translational research on the molecular basis of the pathology. In addition, these models will allow progress toward a personalized medicine, generating chips from patient samples that mimic the original tumor and the metastatic process to perform a precise pharmacological screening by establishing the most appropriate treatment protocol.
© 2021 The Authors. Small published by Wiley-VCH GmbH.

Entities:  

Keywords:  3D bioprinting; cancer; metastasis; metastasis-on-a-chip; tumor-on-a-chip

Mesh:

Year:  2021        PMID: 33705602     DOI: 10.1002/smll.202006009

Source DB:  PubMed          Journal:  Small        ISSN: 1613-6810            Impact factor:   13.281


  2 in total

Review 1.  Biofabrication approaches and regulatory framework of metastatic tumor-on-a-chip models for precision oncology.

Authors:  Daniel Nieto; Gema Jiménez; Lorenzo Moroni; Elena López-Ruiz; Patricia Gálvez-Martín; Juan Antonio Marchal
Journal:  Med Res Rev       Date:  2022-06-16       Impact factor: 12.388

Review 2.  Organ on Chip Technology to Model Cancer Growth and Metastasis.

Authors:  Giorgia Imparato; Francesco Urciuolo; Paolo Antonio Netti
Journal:  Bioengineering (Basel)       Date:  2022-01-11
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.