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Tumor organoids: applications in cancer modeling and potentials in precision medicine

Cancer is a top-ranked life-threatening disease with intratumor heterogeneity. Tumor heterogeneity is associated with metastasis, relapse, and therapy resistance. These factors contribute to treatment failure and an unfavorable prognosis. Personalized tumor models faithfully capturing the tumor hete...

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Autores principales: Xu, Hanxiao, Jiao, Dechao, Liu, Aiguo, Wu, Kongming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9103066/
https://www.ncbi.nlm.nih.gov/pubmed/35551634
http://dx.doi.org/10.1186/s13045-022-01278-4
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author Xu, Hanxiao
Jiao, Dechao
Liu, Aiguo
Wu, Kongming
author_facet Xu, Hanxiao
Jiao, Dechao
Liu, Aiguo
Wu, Kongming
author_sort Xu, Hanxiao
collection PubMed
description Cancer is a top-ranked life-threatening disease with intratumor heterogeneity. Tumor heterogeneity is associated with metastasis, relapse, and therapy resistance. These factors contribute to treatment failure and an unfavorable prognosis. Personalized tumor models faithfully capturing the tumor heterogeneity of individual patients are urgently needed for precision medicine. Advances in stem cell culture have given rise to powerful organoid technology for the generation of in vitro three-dimensional tissues that have been shown to more accurately recapitulate the structures, specific functions, molecular characteristics, genomic alterations, expression profiles, and tumor microenvironment of primary tumors. Tumoroids in vitro serve as an important component of the pipeline for the discovery of potential therapeutic targets and the identification of novel compounds. In this review, we will summarize recent advances in tumoroid cultures as an excellent tool for accurate cancer modeling. Additionally, vascularization and immune microenvironment modeling based on organoid technology will also be described. Furthermore, we will summarize the great potential of tumor organoids in predicting the therapeutic response, investigating resistance-related mechanisms, optimizing treatment strategies, and exploring potential therapies. In addition, the bottlenecks and challenges of current tumoroids will also be discussed in this review.
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spelling pubmed-91030662022-05-14 Tumor organoids: applications in cancer modeling and potentials in precision medicine Xu, Hanxiao Jiao, Dechao Liu, Aiguo Wu, Kongming J Hematol Oncol Review Cancer is a top-ranked life-threatening disease with intratumor heterogeneity. Tumor heterogeneity is associated with metastasis, relapse, and therapy resistance. These factors contribute to treatment failure and an unfavorable prognosis. Personalized tumor models faithfully capturing the tumor heterogeneity of individual patients are urgently needed for precision medicine. Advances in stem cell culture have given rise to powerful organoid technology for the generation of in vitro three-dimensional tissues that have been shown to more accurately recapitulate the structures, specific functions, molecular characteristics, genomic alterations, expression profiles, and tumor microenvironment of primary tumors. Tumoroids in vitro serve as an important component of the pipeline for the discovery of potential therapeutic targets and the identification of novel compounds. In this review, we will summarize recent advances in tumoroid cultures as an excellent tool for accurate cancer modeling. Additionally, vascularization and immune microenvironment modeling based on organoid technology will also be described. Furthermore, we will summarize the great potential of tumor organoids in predicting the therapeutic response, investigating resistance-related mechanisms, optimizing treatment strategies, and exploring potential therapies. In addition, the bottlenecks and challenges of current tumoroids will also be discussed in this review. BioMed Central 2022-05-12 /pmc/articles/PMC9103066/ /pubmed/35551634 http://dx.doi.org/10.1186/s13045-022-01278-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Review
Xu, Hanxiao
Jiao, Dechao
Liu, Aiguo
Wu, Kongming
Tumor organoids: applications in cancer modeling and potentials in precision medicine
title Tumor organoids: applications in cancer modeling and potentials in precision medicine
title_full Tumor organoids: applications in cancer modeling and potentials in precision medicine
title_fullStr Tumor organoids: applications in cancer modeling and potentials in precision medicine
title_full_unstemmed Tumor organoids: applications in cancer modeling and potentials in precision medicine
title_short Tumor organoids: applications in cancer modeling and potentials in precision medicine
title_sort tumor organoids: applications in cancer modeling and potentials in precision medicine
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9103066/
https://www.ncbi.nlm.nih.gov/pubmed/35551634
http://dx.doi.org/10.1186/s13045-022-01278-4
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