Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zitter, Ryan, Chugh, Rishi Man, Saha, Subhrajit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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
_version_ 1784732456398618624
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
work_keys_str_mv AT zitterryan patientderivedexvivocancermodelsindrugdevelopmentpersonalizedmedicineandradiotherapy
AT chughrishiman patientderivedexvivocancermodelsindrugdevelopmentpersonalizedmedicineandradiotherapy
AT sahasubhrajit patientderivedexvivocancermodelsindrugdevelopmentpersonalizedmedicineandradiotherapy