Literature DB >> 26485224

What role could organoids play in the personalization of cancer treatment?

Hayley E Francies1, Mathew J Garnett1.   

Abstract

Cancer treatments are increasingly being targeted to specific patient populations based on the molecular and genetic features of their tumor, so called precision or personalized cancer medicine. Preclinical cancer models are essential tools for cancer research, but unfortunately our current models often fail to effectively represent patient tumors and can be poorly predictive of clinical responses. In this perspective, we discuss the use of new in vitro 3D cell models called 'organoids' as preclinical cancer models in the context of other commonly used models, namely cancer cell lines and patient-derived xenografts. We consider the relative strengths and limitations of each model, and discuss how organoid culture models could facilitate the personalization of cancer medicine.

Entities:  

Keywords:  cancer; cancer models; cell lines; drug screening; organoids; patient-derived xenografts; personalized treatment

Mesh:

Year:  2015        PMID: 26485224     DOI: 10.2217/pgs.15.114

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  6 in total

1.  Simultaneous extracellular and intracellular quantification of EGFR using paired-agent imaging in an in ovo tumor model.

Authors:  Kimberley S Samkoe; Emily Schultz; Allison Solanki; Lei Wang; Jesse Korber; Kenneth M Tichauer; Summer L Gibbs
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2019-02-28

Review 2.  Mouse models in oncoimmunology.

Authors:  Laurence Zitvogel; Jonathan M Pitt; Romain Daillère; Mark J Smyth; Guido Kroemer
Journal:  Nat Rev Cancer       Date:  2016-09-30       Impact factor: 60.716

3.  A three-dimensional engineered heterogeneous tumor model for assessing cellular environment and response.

Authors:  Darren Rodenhizer; Teresa Dean; Bin Xu; Dan Cojocari; Alison P McGuigan
Journal:  Nat Protoc       Date:  2018-09       Impact factor: 13.491

4.  A high-content image analysis approach for quantitative measurements of chemosensitivity in patient-derived tumor microtissues.

Authors:  Ilmari Ahonen; Malin Åkerfelt; Mervi Toriseva; Eva Oswald; Julia Schüler; Matthias Nees
Journal:  Sci Rep       Date:  2017-07-26       Impact factor: 4.379

Review 5.  Organoid: Next-Generation Modeling of Cancer Research and Drug Development.

Authors:  Jungang Liu; Xiaoliang Huang; Lihaoyun Huang; Jinlian Huang; Dingyu Liang; Lixian Liao; Yuqing Deng; Lihua Zhang; Beibei Zhang; Weizhong Tang
Journal:  Front Oncol       Date:  2022-01-28       Impact factor: 6.244

6.  A suspension technique for efficient large-scale cancer organoid culturing and perturbation screens.

Authors:  Stacey Price; Shriram Bhosle; Emanuel Gonçalves; Xiaodun Li; Dylan P McClurg; Syd Barthorpe; Alex Beck; Caitlin Hall; Howard Lightfoot; Luke Farrow; Rizwan Ansari; David A Jackson; Laura Allen; Kirsty Roberts; Charlotte Beaver; Hayley E Francies; Mathew J Garnett
Journal:  Sci Rep       Date:  2022-04-02       Impact factor: 4.379

  6 in total

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