マギ シゲユキ
Magi Shigeyuki
間木 重行 所属 東邦大学 医学部 医学科 職種 助教 |
|
言語種別 | 英語 |
種別 | 部分執筆 |
表題 | Mathematical modeling of cancer signaling addressing tumor heterogeneity |
書名 | Methods of Mathematical Oncology |
ISBNコード | 9789811648663 |
編者名 | Takashi SuzukiClair PoignardMark ChaplainVito Quaranta |
版・巻・頁 | 370,pp.141-152 |
出版社 | Springer, Singapore |
出版地 (都市, 国名) | Singapore |
著者・共著者 | Shigeyuki Magi† |
発行年月 | 2021/08/22 |
概要 | One of the obstacles for cancer therapies is the heterogeneity of cancers. Heterogeneity in signal transduction within the same cell population contributes to drug resistance and stemness, and the diversity of cancer subtypes contributes to different therapeutic efficacy between individuals. However, the whole mechanisms associated with heterogeneity in signal transduction are poorly understood. In this review, I introduce several mathematical modeling studies to deal with cell-to-cell variability and diversity of cancer subtypes. Mathematical modeling studies to analyze the heterogeneity of signal transduction should provide new insights that will promote the next generation of cancer therapies, such as overcoming drug resistance and personalized medicine. |
AmazonURL | https://www.amazon.co.jp/Methods-Mathematical-Oncology-Mathematics-Proceedings/dp/9811648654 |
Amazon画像URL | https://images-na.ssl-images-amazon.com/images/I/41nVqiY8ypL._SX313_BO1,204,203,200_.jpg |