Literature DB >> 29966678

Patient-derived tumor organoids for prediction of cancer treatment response.

Peter W Nagle1, John Th M Plukker2, Christina T Muijs3, Peter van Luijk3, Robert P Coppes4.   

Abstract

Cancer treatment, in particular radiotherapy and chemotherapy, is often hindered by an inherent resistance of cancer cells. Cancer stem cells in particular have previously been shown to be more resistant than other cells within a tumor and are thought repopulate the tumour after therapies. Therefore, it is of utmost importance to develop tools and techniques that can be used to study mechanisms of resistance of cancer stem cells as potential treatment targets. Organoids (and cancer-derived organoids), are three-dimensional tissue-resembling cellular clusters derived from tissue or tumor specific stem cells that mimic the in vivo (tumor) characteristics, as well as (tumor) cell heterogeneity. Cancer organoids may further enhance the in vitro and in vivo models that are currently available, improve our understanding of cancer stem cell resistance and can be used to develop novel cancer treatments by improved targeting of cancer stem cells. In this review, we compare organoids with the more traditional laboratory models, such as cell lines and xenografts, and review the literature of the current role of cancer organoids in determining treatment responses.
Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Cancer stem cells; Chemotherapy; Organoids; Radiotherapy; Treatment response prediction

Mesh:

Substances:

Year:  2018        PMID: 29966678     DOI: 10.1016/j.semcancer.2018.06.005

Source DB:  PubMed          Journal:  Semin Cancer Biol        ISSN: 1044-579X            Impact factor:   15.707


  33 in total

Review 1.  Proteinaceous Hydrogels for Bioengineering Advanced 3D Tumor Models.

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2.  An overview of neuroblastoma cell lineage phenotypes and in vitro models.

Authors:  Sheron Campos Cogo; Thatyanne Gradowski Farias da Costa do Nascimento; Fernanda de Almeida Brehm Pinhatti; Nilton de França Junior; Bruna Santos Rodrigues; Luciane Regina Cavalli; Selene Elifio-Esposito
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Review 3.  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 4.  Precision medicine in rheumatoid arthritis.

Authors:  Kartik Bhamidipati; Kevin Wei
Journal:  Best Pract Res Clin Rheumatol       Date:  2022-03-02       Impact factor: 4.098

5.  Multi-sample measurement of hyperpolarized pyruvate-to-lactate flux in melanoma cells.

Authors:  Hannah Lees; Micaela Millan; Fayyaz Ahamed; Roozbeh Eskandari; Kristin L Granlund; Sangmoo Jeong; Kayvan R Keshari
Journal:  NMR Biomed       Date:  2020-12-12       Impact factor: 4.044

6.  Development of a Single-Cell Technique to Increase Yield and Use of Gastrointestinal Cancer Organoids for Personalized Medicine Application.

Authors:  Mei Gao; Megan M Harper; Miranda Lin; Shadi A Qasem; Reema A Patel; Samuel H Mardini; Moamen M Gabr; Michael J Cavnar; Prakash K Pandalai; Joseph Kim
Journal:  J Am Coll Surg       Date:  2020-11-27       Impact factor: 6.113

7.  Identifying strategies to target the metabolic flexibility of tumours.

Authors:  Andrés Méndez-Lucas; Wei Lin; Paul C Driscoll; Nathalie Legrave; Laura Novellasdemunt; Chencheng Xie; Mark Charles; Zena Wilson; Neil P Jones; Stephen Rayport; Manuel Rodríguez-Justo; Vivian Li; James I MacRae; Nissim Hay; Xin Chen; Mariia Yuneva
Journal:  Nat Metab       Date:  2020-04-21

8.  RNA sequencing of long-term label-retaining colon cancer stem cells identifies novel regulators of quiescence.

Authors:  Joseph L Regan; Dirk Schumacher; Stephanie Staudte; Andreas Steffen; Ralf Lesche; Joern Toedling; Thibaud Jourdan; Johannes Haybaeck; Dominik Mumberg; David Henderson; Balázs Győrffy; Christian R A Regenbrecht; Ulrich Keilholz; Reinhold Schäfer; Martin Lange
Journal:  iScience       Date:  2021-05-24

9.  Nano-Motion Analysis for Rapid and Label Free Assessing of Cancer Cell Sensitivity to Chemotherapeutics.

Authors:  Petar Stupar; Ana Podolski-Renić; Maria Ines Villalba; Miodrag Dragoj; Sofija Jovanović Stojanov; Milica Pešić; Sandor Kasas
Journal:  Medicina (Kaunas)       Date:  2021-05-04       Impact factor: 2.430

Review 10.  Engineering Breast Cancer On-chip-Moving Toward Subtype Specific Models.

Authors:  Carmen Moccia; Kristina Haase
Journal:  Front Bioeng Biotechnol       Date:  2021-06-23
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