本頁只刊出中文翻譯與中文說明；英文原文請見下方原文連結。
原文連結
論文資訊
- 類型：已發表論文
- 日期：2021-12-27
摘要
Phenotypic switching in 癌症 cells has been found to be present across tumor types. Recent studies on Glioblastoma report a remarkably common architecture of four well- defined phenotypes coexisting within high levels of intra-tumor 遺傳 heterogeneity. Similar dynamics have been shown to occur in breast 癌症 and melanoma and are likely to be found across 癌症 types. Given the adaptive potential of phenotypic switching (PHS) strategies, understanding how it drives tumor 演化 and therapy resistance is a major priority. Here we present a 數學 framework uncovering the ecological dynamics behind PHS. The model is able to reproduce experimental results, and 數學 conditions for 癌症 progression reveal PHS-specific features of tumors with direct consequences on therapy resistance. In particular, our model reveals
※ 此為已發表論文，全文需透過期刊付費取得