肿瘤微环境
癌症
蓝图
癌症研究
癌细胞
类有机物
生物
医学
计算生物学
生物信息学
神经科学
肿瘤细胞
内科学
机械工程
工程类
作者
Kevan Chu,Lukas E. Dow
出处
期刊:Cancer Research
[American Association for Cancer Research]
日期:2024-02-09
卷期号:84 (6): 798-799
标识
DOI:10.1158/0008-5472.can-24-0490
摘要
Abstract Understanding patient-specific responses to anticancer therapies and how individual tumors interact with their tumor microenvironment (TME) is a challenging task. To measure the impact of the TME on diverse and clinically relevant treatments, Ramos Zapatero and colleagues coupled patient-derived organoid (PDO) and cancer-associated fibroblast (CAF) cocultures with high-throughput mass cytometry–based assessment of cell state. Using a newly developed “Trellis” algorithm enabled integration and analysis of highly complex, multidimensional treatment response data. This work showed that tumor cell response to chemotherapy was associated with both intrinsic and nonintrinsic signaling states, whereby proliferative rate, growth factor signaling, and CAFs interaction influenced chemoprotection. Furthermore, the work suggests a potential role for the TME in promoting lineage plasticity associated with drug resistance. In all, the pipeline described provides a blueprint for exploring the intricate interplay of factors influencing cancer treatment response.
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