Literature DB >> 33532672

Toward improved in vitro models of human cancer.

Jose M Ayuso, Keon-Young Park1, María Virumbrales-Muñoz, David J Beebe.   

Abstract

Cancer is a leading cause of death across the world and continues to increase in incidence. Despite years of research, multiple tumors (e.g., glioblastoma, pancreatic cancer) still have limited treatment options in the clinic. Additionally, the attrition rate and cost of drug development have continued to increase. This trend is partly explained by the poor predictive power of traditional in vitro tools and animal models. Moreover, multiple studies have highlighted that cell culture in traditional Petri dishes commonly fail to predict drug sensitivity. Conversely, animal models present differences in tumor biology compared with human pathologies, explaining why promising therapies tested in animal models often fail when tested in humans. The surging complexity of patient management with the advent of cancer vaccines, immunotherapy, and precision medicine demands more robust and patient-specific tools to better inform our understanding and treatment of human cancer. Advances in stem cell biology, microfluidics, and cell culture have led to the development of sophisticated bioengineered microscale organotypic models (BMOMs) that could fill this gap. In this Perspective, we discuss the advantages and limitations of patient-specific BMOMs to improve our understanding of cancer and how these tools can help to confer insight into predicting patient response to therapy.
© 2021 Author(s).

Entities:  

Year:  2021        PMID: 33532672      PMCID: PMC7822630          DOI: 10.1063/5.0026857

Source DB:  PubMed          Journal:  APL Bioeng        ISSN: 2473-2877


  12 in total

1.  Toward improved models of human cancer: Two perspectives.

Authors:  Roger D Kamm
Journal:  APL Bioeng       Date:  2021-02-19

2.  Editorial Series conclusion and journal outlook.

Authors:  Justin J Cooper-White
Journal:  APL Bioeng       Date:  2022-08-19

Review 3.  Microfluidics in vascular biology research: a critical review for engineers, biologists, and clinicians.

Authors:  Grigor Simitian; María Virumbrales-Muñoz; Cristina Sánchez-de-Diego; David J Beebe; David Kosoff
Journal:  Lab Chip       Date:  2022-09-27       Impact factor: 7.517

Review 4.  A role for microfluidic systems in precision medicine.

Authors:  Jose M Ayuso; María Virumbrales-Muñoz; Joshua M Lang; David J Beebe
Journal:  Nat Commun       Date:  2022-06-02       Impact factor: 17.694

Review 5.  In Vitro Human Cancer Models for Biomedical Applications.

Authors:  Jane Ru Choi; Gül Kozalak; Ighli di Bari; Quratulain Babar; Zahra Niknam; Yousef Rasmi; Kar Wey Yong
Journal:  Cancers (Basel)       Date:  2022-05-03       Impact factor: 6.575

Review 6.  Functional precision oncology: Testing tumors with drugs to identify vulnerabilities and novel combinations.

Authors:  Anthony Letai; Patrick Bhola; Alana L Welm
Journal:  Cancer Cell       Date:  2021-12-23       Impact factor: 31.743

Review 7.  In Vitro Cancer Models: A Closer Look at Limitations on Translation.

Authors:  Nina Antunes; Banani Kundu; Subhas C Kundu; Rui L Reis; Vítor Correlo
Journal:  Bioengineering (Basel)       Date:  2022-04-07

Review 8.  Patient-Derived Explants as a Precision Medicine Patient-Proximal Testing Platform Informing Cancer Management.

Authors:  Abby R Templeton; Penny L Jeffery; Patrick B Thomas; Mahasha P J Perera; Gary Ng; Alivia R Calabrese; Clarissa Nicholls; Nathan J Mackenzie; Jack Wood; Laura J Bray; Ian Vela; Erik W Thompson; Elizabeth D Williams
Journal:  Front Oncol       Date:  2021-12-20       Impact factor: 6.244

9.  Role of the Skin Microenvironment in Melanomagenesis: Epidermal Keratinocytes and Dermal Fibroblasts Promote BRAF Oncogene-Induced Senescence Escape in Melanocytes.

Authors:  Shreyans Sadangi; Katarina Milosavljevic; Edgardo Castro-Perez; Marcos Lares; Mithalesh Singh; Sarah Altameemi; David J Beebe; Jose M Ayuso; Vijayasaradhi Setaluri
Journal:  Cancers (Basel)       Date:  2022-02-27       Impact factor: 6.639

Review 10.  Models of Renal Cell Carcinoma Used to Investigate Molecular Mechanisms and Develop New Therapeutics.

Authors:  Daniel D Shapiro; Maria Virumbrales-Muñoz; David J Beebe; E Jason Abel
Journal:  Front Oncol       Date:  2022-04-07       Impact factor: 5.738

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