Literature DB >> 29024838

Organ-on-chip models of cancer metastasis for future personalized medicine: From chip to the patient.

D Caballero1, S Kaushik2, V M Correlo3, J M Oliveira4, R L Reis5, S C Kundu6.   

Abstract

Most cancer patients do not die from the primary tumor but from its metastasis. Current in vitro and in vivo cancer models are incapable of satisfactorily predicting the outcome of various clinical treatments on patients. This is seen as a serious limitation and efforts are underway to develop a new generation of highly predictive cancer models with advanced capabilities. In this regard, organ-on-chip models of cancer metastasis emerge as powerful predictors of disease progression. They offer physiological-like conditions where the (hypothesized) mechanistic determinants of the disease can be assessed with ease. Combined with high-throughput characteristics, the employment of organ-on-chip technology would allow pharmaceutical companies and clinicians to test new therapeutic compounds and therapies. This will permit the screening of a large battery of new drugs in a fast and economic manner, to accelerate the diagnosis of the disease in the near future, and to test personalized treatments using cells from patients. In this review, we describe the latest advances in the field of organ-on-chip models of cancer metastasis and their integration with advanced imaging, screening and biosensing technologies for future precision medicine applications. We focus on their clinical applicability and market opportunities to drive us forward to the next generation of tumor models for improved cancer patient theranostics.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cancer metastasis; Microfluidics; Organ-on-chip; Theranostics; Tumor model

Mesh:

Year:  2017        PMID: 29024838     DOI: 10.1016/j.biomaterials.2017.10.005

Source DB:  PubMed          Journal:  Biomaterials        ISSN: 0142-9612            Impact factor:   12.479


  43 in total

1.  Monitoring of Microphysiological Systems: Integrating Sensors and Real-Time Data Analysis toward Autonomous Decision-Making.

Authors:  Ashlyn T Young; Kristina R Rivera; Patrick D Erb; Michael A Daniele
Journal:  ACS Sens       Date:  2019-04-19       Impact factor: 7.711

Review 2.  Addressing Patient Specificity in the Engineering of Tumor Models.

Authors:  Laura J Bray; Dietmar W Hutmacher; Nathalie Bock
Journal:  Front Bioeng Biotechnol       Date:  2019-09-12

Review 3.  Tackling rare diseases: Clinical trials on chips.

Authors:  Sandra H Blumenrath; Bo Y Lee; Lucie Low; Ranjini Prithviraj; Danilo Tagle
Journal:  Exp Biol Med (Maywood)       Date:  2020-05-12

4.  Three dimensional engineered models to study hypoxia biology in breast cancer.

Authors:  Vaishali Aggarwal; Oshin Miranda; Paul A Johnston; Shilpa Sant
Journal:  Cancer Lett       Date:  2020-06-20       Impact factor: 8.679

Review 5.  Applications of tumor chip technology.

Authors:  Stephanie J Hachey; Christopher C W Hughes
Journal:  Lab Chip       Date:  2018-09-26       Impact factor: 6.799

Review 6.  A human-on-a-chip approach to tackling rare diseases.

Authors:  Camilly P Pires de Mello; John Rumsey; Victoria Slaughter; James J Hickman
Journal:  Drug Discov Today       Date:  2019-08-11       Impact factor: 7.851

Review 7.  Cancer Modeling-on-a-Chip with Future Artificial Intelligence Integration.

Authors:  Kirsten Lee Fetah; Benjamin J DiPardo; Eve-Mary Kongadzem; James S Tomlinson; Adam Elzagheid; Mohammed Elmusrati; Ali Khademhosseini; Nureddin Ashammakhi
Journal:  Small       Date:  2019-11-13       Impact factor: 13.281

8.  A Model of Dormant-Emergent Metastatic Breast Cancer Progression Enabling Exploration of Biomarker Signatures.

Authors:  Amanda M Clark; Manu P Kumar; Sarah E Wheeler; Carissa L Young; Raman Venkataramanan; Donna B Stolz; Linda G Griffith; Douglas A Lauffenburger; Alan Wells
Journal:  Mol Cell Proteomics       Date:  2018-01-20       Impact factor: 5.911

Review 9.  Comparing human and mouse salivary glands: A practice guide for salivary researchers.

Authors:  C L Maruyama; M M Monroe; J P Hunt; L Buchmann; O J Baker
Journal:  Oral Dis       Date:  2018-04-24       Impact factor: 3.511

10.  Development and verification of a three-dimensional (3D) breast cancer tumor model composed of circulating tumor cell (CTC) subsets.

Authors:  Muge Anil-Inevi; Pelin Sağlam-Metiner; Evrim Ceren Kabak; Sultan Gulce-Iz
Journal:  Mol Biol Rep       Date:  2019-10-03       Impact factor: 2.316

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.