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Review on Advanced Cancer Modeling for a Cancer Study

Intensive efforts to develop anti-cancer agents have been made for over 60 years. However, cancer is still considered a lethal disease. To study the best anti-cancer agents for improving the survival rates of cancer patients, many researchers have focused on establishing advanced experimental applic...

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Autor principal: Cho, Yong-Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689505/
https://www.ncbi.nlm.nih.gov/pubmed/36354674
http://dx.doi.org/10.3390/cimb44110362
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author Cho, Yong-Hee
author_facet Cho, Yong-Hee
author_sort Cho, Yong-Hee
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description Intensive efforts to develop anti-cancer agents have been made for over 60 years. However, cancer is still considered a lethal disease. To study the best anti-cancer agents for improving the survival rates of cancer patients, many researchers have focused on establishing advanced experimental applications reflecting on the biomimetics of cancer patients involving the heterogeneity of cancer cells. The heterogeneity of cancer cells, which are derived from various clones and affected by different environments, presents different genetic backgrounds and molecular characteristics attributed to the differential responses to cancer therapies, and these are responsible for the resistance to cancer therapies, as well as for recurrence following cancer treatments. Therefore, the development of advanced applications for the cancer patient is expected to help the development of more effective anti-cancer agents. The present review evaluates recently developed cancer models encompassing the heterogeneity of cancer cells, which present similar morphological architecture, genetic backgrounds, and molecular characteristics to corresponding patient tumor tissues.
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spelling pubmed-96895052022-11-25 Review on Advanced Cancer Modeling for a Cancer Study Cho, Yong-Hee Curr Issues Mol Biol Opinion Intensive efforts to develop anti-cancer agents have been made for over 60 years. However, cancer is still considered a lethal disease. To study the best anti-cancer agents for improving the survival rates of cancer patients, many researchers have focused on establishing advanced experimental applications reflecting on the biomimetics of cancer patients involving the heterogeneity of cancer cells. The heterogeneity of cancer cells, which are derived from various clones and affected by different environments, presents different genetic backgrounds and molecular characteristics attributed to the differential responses to cancer therapies, and these are responsible for the resistance to cancer therapies, as well as for recurrence following cancer treatments. Therefore, the development of advanced applications for the cancer patient is expected to help the development of more effective anti-cancer agents. The present review evaluates recently developed cancer models encompassing the heterogeneity of cancer cells, which present similar morphological architecture, genetic backgrounds, and molecular characteristics to corresponding patient tumor tissues. MDPI 2022-10-31 /pmc/articles/PMC9689505/ /pubmed/36354674 http://dx.doi.org/10.3390/cimb44110362 Text en © 2022 by the author. 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 Opinion
Cho, Yong-Hee
Review on Advanced Cancer Modeling for a Cancer Study
title Review on Advanced Cancer Modeling for a Cancer Study
title_full Review on Advanced Cancer Modeling for a Cancer Study
title_fullStr Review on Advanced Cancer Modeling for a Cancer Study
title_full_unstemmed Review on Advanced Cancer Modeling for a Cancer Study
title_short Review on Advanced Cancer Modeling for a Cancer Study
title_sort review on advanced cancer modeling for a cancer study
topic Opinion
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689505/
https://www.ncbi.nlm.nih.gov/pubmed/36354674
http://dx.doi.org/10.3390/cimb44110362
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