Cancer-on-Chip and Integrative Tumor Microenvironment Sensor Technologies for Progressing Precision Radiotherapy

Shuvashis Dey, Masaki Kinoshita, Simon Puttick, Stephen Rose, Matt Trau, Matthew J. Roberts, Kevin M. Koo
{"title":"Cancer-on-Chip and Integrative Tumor Microenvironment Sensor Technologies for Progressing Precision Radiotherapy","authors":"Shuvashis Dey,&nbsp;Masaki Kinoshita,&nbsp;Simon Puttick,&nbsp;Stephen Rose,&nbsp;Matt Trau,&nbsp;Matthew J. Roberts,&nbsp;Kevin M. Koo","doi":"10.1002/adsr.202300193","DOIUrl":null,"url":null,"abstract":"<p>Precision radiotherapy, such as targeted radioligand therapy, accentuates the precise delivery of radiation to tumor cells while limiting radiation damage to surrounding normal cells. Although recent clinical trial data has shown targeted radioligand therapy to have significant patient survival benefit, it is still unavoidable that the cancer cells will eventually adapt and develop radioresistance. Thus, the study of radiotherapy-induced changes in the tumor microenvironment (TME) is crucial for developing strategies to best overcome radioresistance. To this end, organ-on-chip (OOC) systems with integrative sensors represent cutting-edge pre-clinical models for miniaturized 3D modelling and profiling of the TME. This Review features OOC systems which have demonstrated feasibility for radiation-associated studies, as well as showcased the progress of different OOC systems for profiling core components of the TME. Furthermore, this Review discusses the knowledge gap in cancer-on-chip systems with integrative TME sensors for precision radiotherapy applications. It is anticipated that this Review can kickstart the propagation of new concepts and approaches to drive a new era of miniaturized sensors on OOC systems for precision radiotherapy.</p>","PeriodicalId":100037,"journal":{"name":"Advanced Sensor Research","volume":"3 7","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adsr.202300193","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Sensor Research","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/adsr.202300193","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Precision radiotherapy, such as targeted radioligand therapy, accentuates the precise delivery of radiation to tumor cells while limiting radiation damage to surrounding normal cells. Although recent clinical trial data has shown targeted radioligand therapy to have significant patient survival benefit, it is still unavoidable that the cancer cells will eventually adapt and develop radioresistance. Thus, the study of radiotherapy-induced changes in the tumor microenvironment (TME) is crucial for developing strategies to best overcome radioresistance. To this end, organ-on-chip (OOC) systems with integrative sensors represent cutting-edge pre-clinical models for miniaturized 3D modelling and profiling of the TME. This Review features OOC systems which have demonstrated feasibility for radiation-associated studies, as well as showcased the progress of different OOC systems for profiling core components of the TME. Furthermore, this Review discusses the knowledge gap in cancer-on-chip systems with integrative TME sensors for precision radiotherapy applications. It is anticipated that this Review can kickstart the propagation of new concepts and approaches to drive a new era of miniaturized sensors on OOC systems for precision radiotherapy.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
芯片癌症和综合肿瘤微环境传感器技术促进精准放疗的发展
精准放疗,如靶向放射性配体疗法,在限制对周围正常细胞的辐射损伤的同时,突出了对肿瘤细胞的精确放射。尽管最近的临床试验数据显示,放射性配体靶向治疗对患者的生存有显著的益处,但癌细胞最终仍不可避免地会适应并产生放射抗性。因此,研究放疗诱导的肿瘤微环境(TME)变化对于制定克服放射抗性的最佳策略至关重要。为此,带有集成传感器的片上器官(OOC)系统代表了临床前微型化三维建模和肿瘤微环境分析的前沿模型。本综述介绍了已证明可用于辐射相关研究的 OOC 系统,并展示了不同 OOC 系统在剖析 TME 核心成分方面取得的进展。此外,本综述还讨论了用于精确放疗的集成 TME 传感器的癌芯片系统的知识缺口。希望这篇综述能启动新概念和新方法的传播,推动用于精确放疗的 OOC 系统微型传感器新时代的到来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Transforming Renal Diagnosis: Graphene-Enhanced Lab-On-a-Chip for Multiplexed Kidney Biomarker Detection in Capillary Blood (Adv. Sensor Res. 11/2024) Masthead (Adv. Sensor Res. 11/2024) All Solid Photonic Crystal Fiber Enabled by 3D Printing Fiber Technology for Sensing of Multiple Parameters (Adv. Sensor Res. 11/2024) Design Approaches and Electromechanical Modeling of Conformable Piezoelectric-Based Ultrasound Systems (Adv. Sensor Res. 10/2024) Masthead (Adv. Sensor Res. 10/2024)
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1