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Patient Derived Ex-Vivo Cancer Models in Drug Development, Personalized Medicine, and Radiotherapy
SIMPLE SUMMARY: This review article highlights gaps in the current system of drug development and personalized medicine for cancer therapy. The ex vivo model system using tissue biopsy from patients will advance the development of the predictive disease specific biomarker, drug screening and assessm...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9220792/ https://www.ncbi.nlm.nih.gov/pubmed/35740672 http://dx.doi.org/10.3390/cancers14123006 |
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author | Zitter, Ryan Chugh, Rishi Man Saha, Subhrajit |
author_facet | Zitter, Ryan Chugh, Rishi Man Saha, Subhrajit |
author_sort | Zitter, Ryan |
collection | PubMed |
description | SIMPLE SUMMARY: This review article highlights gaps in the current system of drug development and personalized medicine for cancer therapy. The ex vivo model system using tissue biopsy from patients will advance the development of the predictive disease specific biomarker, drug screening and assessment of treatment response on a personalized basis. Although this ex vivo system demonstrated promises, there are challenges and limitations which need to be mitigated for further advancement and better applications. ABSTRACT: The field of cancer research is famous for its incremental steps in improving therapy. The consistent but slow rate of improvement is greatly due to its meticulous use of consistent cancer biology models. However, as we enter an era of increasingly personalized cancer care, including chemo and radiotherapy, our cancer models must be equally able to be applied to all individuals. Patient-derived organoid (PDO) and organ-in-chip (OIC) models based on the micro-physiological bioengineered platform have already been considered key components for preclinical and translational studies. Accounting for patient variability is one of the greatest challenges in the crossover from preclinical development to clinical trials and patient derived organoids may offer a steppingstone between the two. In this review, we highlight how incorporating PDO’s and OIC’s into the development of cancer therapy promises to increase the efficiency of our therapeutics. |
format | Online Article Text |
id | pubmed-9220792 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92207922022-06-24 Patient Derived Ex-Vivo Cancer Models in Drug Development, Personalized Medicine, and Radiotherapy Zitter, Ryan Chugh, Rishi Man Saha, Subhrajit Cancers (Basel) Review SIMPLE SUMMARY: This review article highlights gaps in the current system of drug development and personalized medicine for cancer therapy. The ex vivo model system using tissue biopsy from patients will advance the development of the predictive disease specific biomarker, drug screening and assessment of treatment response on a personalized basis. Although this ex vivo system demonstrated promises, there are challenges and limitations which need to be mitigated for further advancement and better applications. ABSTRACT: The field of cancer research is famous for its incremental steps in improving therapy. The consistent but slow rate of improvement is greatly due to its meticulous use of consistent cancer biology models. However, as we enter an era of increasingly personalized cancer care, including chemo and radiotherapy, our cancer models must be equally able to be applied to all individuals. Patient-derived organoid (PDO) and organ-in-chip (OIC) models based on the micro-physiological bioengineered platform have already been considered key components for preclinical and translational studies. Accounting for patient variability is one of the greatest challenges in the crossover from preclinical development to clinical trials and patient derived organoids may offer a steppingstone between the two. In this review, we highlight how incorporating PDO’s and OIC’s into the development of cancer therapy promises to increase the efficiency of our therapeutics. MDPI 2022-06-18 /pmc/articles/PMC9220792/ /pubmed/35740672 http://dx.doi.org/10.3390/cancers14123006 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Zitter, Ryan Chugh, Rishi Man Saha, Subhrajit Patient Derived Ex-Vivo Cancer Models in Drug Development, Personalized Medicine, and Radiotherapy |
title | Patient Derived Ex-Vivo Cancer Models in Drug Development, Personalized Medicine, and Radiotherapy |
title_full | Patient Derived Ex-Vivo Cancer Models in Drug Development, Personalized Medicine, and Radiotherapy |
title_fullStr | Patient Derived Ex-Vivo Cancer Models in Drug Development, Personalized Medicine, and Radiotherapy |
title_full_unstemmed | Patient Derived Ex-Vivo Cancer Models in Drug Development, Personalized Medicine, and Radiotherapy |
title_short | Patient Derived Ex-Vivo Cancer Models in Drug Development, Personalized Medicine, and Radiotherapy |
title_sort | patient derived ex-vivo cancer models in drug development, personalized medicine, and radiotherapy |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9220792/ https://www.ncbi.nlm.nih.gov/pubmed/35740672 http://dx.doi.org/10.3390/cancers14123006 |
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