Pub Date : 2021-05-30DOI: 10.51335/ORGANOID.2021.1.E8
D. Kim, S. Kim
Increasing levels of fine environmental dust particles due to industrialization and emerging respiratory illnesses, such as coronavirus disease 2019, pose serious threats to human life. The use of organoids for disease modeling and drug screening has been proposed as a new treatment approach for respiratory diseases. As discussed in this review, various pathogen models, genetic disease models, and patient-derived lung cancer organoid models have been reported for disease modeling and drug testing using human airway organoids. Despite these promising recent advances, several issues must be addressed before the disease modeling potential of human airway organoids can be fully realized. If systematic methods to produce mature airway organoids can be developed, and reproducible organoid models can be implemented using standardized protocols, airway organoids will likely become valuable respiratory disease models and drug screening tools.
{"title":"Disease modeling and drug screening using human airway organoids: a systematic review","authors":"D. Kim, S. Kim","doi":"10.51335/ORGANOID.2021.1.E8","DOIUrl":"https://doi.org/10.51335/ORGANOID.2021.1.E8","url":null,"abstract":"Increasing levels of fine environmental dust particles due to industrialization and emerging respiratory illnesses, such as coronavirus disease 2019, pose serious threats to human life. The use of organoids for disease modeling and drug screening has been proposed as a new treatment approach for respiratory diseases. As discussed in this review, various pathogen models, genetic disease models, and patient-derived lung cancer organoid models have been reported for disease modeling and drug testing using human airway organoids. Despite these promising recent advances, several issues must be addressed before the disease modeling potential of human airway organoids can be fully realized. If systematic methods to produce mature airway organoids can be developed, and reproducible organoid models can be implemented using standardized protocols, airway organoids will likely become valuable respiratory disease models and drug screening tools.","PeriodicalId":100198,"journal":{"name":"Brain Organoid and Systems Neuroscience Journal","volume":"309 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78917085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-10DOI: 10.51335/organoid.2021.1.e6
C. Yeo, Y. Yun, Dong Hyuck Ahn, Y. Hwang, Seung Hee Yang, Hyobin Won, Hyeong Jun Cho, Chan Kwon Park, S. Kim, Jong Y. Park
Lung cancer, which remains a major cause of mortality worldwide, is a histologically diverse condition and demonstrates substantial phenotypic and genomic diversity among individual patients, manifesting as both intertumoral and intratumoral heterogeneity. This heterogeneity has made it difficult to develop lung cancer models. Two-dimensional (2D) cancer cell lines have been used to study genetic and molecular alterations in lung cancer. However, cancer cell lines have several disadvantages, including random genetic drift caused by long-term culture, a lack of annotated clinical data, and most importantly, the fact that only a subset of tumors shows 2D growth on plastic. Three-dimensional models of cancer have the potential to improve cancer research and drug development because they are more representative of cancer biology and its diverse pathophysiology. Herein, we present an integrated review of current information on preclinical lung cancer models and their limitations, including cancer cell line models, patient-derived xenografts, and lung cancer organoids, and discuss their possible therapeutic applications for drug discovery and screening to guide precision medicine in lung cancer research. Altogether, the success rate of generating lung cancer organoids must be improved, and a lung cancer organoid culture system is necessary to achieve the goal of designing an individualized therapeutic strategy for each lung cancer patient.
{"title":"Therapeutic applications of three-dimensional organoid models in lung cancer","authors":"C. Yeo, Y. Yun, Dong Hyuck Ahn, Y. Hwang, Seung Hee Yang, Hyobin Won, Hyeong Jun Cho, Chan Kwon Park, S. Kim, Jong Y. Park","doi":"10.51335/organoid.2021.1.e6","DOIUrl":"https://doi.org/10.51335/organoid.2021.1.e6","url":null,"abstract":"Lung cancer, which remains a major cause of mortality worldwide, is a histologically diverse condition and demonstrates substantial phenotypic and genomic diversity among individual patients, manifesting as both intertumoral and intratumoral heterogeneity. This heterogeneity has made it difficult to develop lung cancer models. Two-dimensional (2D) cancer cell lines have been used to study genetic and molecular alterations in lung cancer. However, cancer cell lines have several disadvantages, including random genetic drift caused by long-term culture, a lack of annotated clinical data, and most importantly, the fact that only a subset of tumors shows 2D growth on plastic. Three-dimensional models of cancer have the potential to improve cancer research and drug development because they are more representative of cancer biology and its diverse pathophysiology. Herein, we present an integrated review of current information on preclinical lung cancer models and their limitations, including cancer cell line models, patient-derived xenografts, and lung cancer organoids, and discuss their possible therapeutic applications for drug discovery and screening to guide precision medicine in lung cancer research. Altogether, the success rate of generating lung cancer organoids must be improved, and a lung cancer organoid culture system is necessary to achieve the goal of designing an individualized therapeutic strategy for each lung cancer patient.","PeriodicalId":100198,"journal":{"name":"Brain Organoid and Systems Neuroscience Journal","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87055180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-20DOI: 10.51335/organoid.2021.1.e1
Hyung-Ryong Kim
{"title":"Presidential message","authors":"Hyung-Ryong Kim","doi":"10.51335/organoid.2021.1.e1","DOIUrl":"https://doi.org/10.51335/organoid.2021.1.e1","url":null,"abstract":"","PeriodicalId":100198,"journal":{"name":"Brain Organoid and Systems Neuroscience Journal","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80539779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：