连续成像评估患者源性结直肠类肿瘤的生长和药物反应

B.C. Sakshaug , E. Folkesson , T.H. Haukaas , M.S. Sigfúsdóttir , H.H. Trøen , S.B. Sperstad , H.C.H. Bwanika , C. Ringers , I.A. Bergstrøm , G. Klinkenberg , T. Visnes , Å. Flobak
{"title":"连续成像评估患者源性结直肠类肿瘤的生长和药物反应","authors":"B.C. Sakshaug ,&nbsp;E. Folkesson ,&nbsp;T.H. Haukaas ,&nbsp;M.S. Sigfúsdóttir ,&nbsp;H.H. Trøen ,&nbsp;S.B. Sperstad ,&nbsp;H.C.H. Bwanika ,&nbsp;C. Ringers ,&nbsp;I.A. Bergstrøm ,&nbsp;G. Klinkenberg ,&nbsp;T. Visnes ,&nbsp;Å. Flobak","doi":"10.1016/j.esmogo.2025.100137","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>The use of patient-derived tumouroids is expected to have major implications in preclinical drug testing and clinical decision support. Data acquisition from these samples in drug screens, however, is often limited by time-consuming procedures, scarce screening material, and destructive, single-parameter endpoint measurements.</div></div><div><h3>Design</h3><div>We seek to increase data collected from patient-derived tumouroids and here present a method for non-destructive, continuous image-based analysis of colorectal tumouroid growth and shape under chemotherapeutic perturbations, conducted within a clinically relevant timeframe.</div></div><div><h3>Results</h3><div>We assessed several readouts automatically derived from continuous imaging data and concluded that tumouroid growth, and the effect of growth inhibiting drugs, can be robustly monitored by measuring the total tumouroid-covered area in images. We also found that measures of average tumouroid size, diameter, and perimeter provide complementary insights.</div></div><div><h3>Conclusions</h3><div>Our tumouroid analysis method offers a strategy to maximise data extraction from non-destructive imaging techniques while preserving tumouroids for future research, all within a clinically relevant timeframe.</div></div>","PeriodicalId":100490,"journal":{"name":"ESMO Gastrointestinal Oncology","volume":"7 ","pages":"Article 100137"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Continuous imaging to evaluate growth and drug responses of patient-derived colorectal tumouroids\",\"authors\":\"B.C. Sakshaug ,&nbsp;E. Folkesson ,&nbsp;T.H. Haukaas ,&nbsp;M.S. Sigfúsdóttir ,&nbsp;H.H. Trøen ,&nbsp;S.B. Sperstad ,&nbsp;H.C.H. Bwanika ,&nbsp;C. Ringers ,&nbsp;I.A. Bergstrøm ,&nbsp;G. Klinkenberg ,&nbsp;T. Visnes ,&nbsp;Å. Flobak\",\"doi\":\"10.1016/j.esmogo.2025.100137\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>The use of patient-derived tumouroids is expected to have major implications in preclinical drug testing and clinical decision support. Data acquisition from these samples in drug screens, however, is often limited by time-consuming procedures, scarce screening material, and destructive, single-parameter endpoint measurements.</div></div><div><h3>Design</h3><div>We seek to increase data collected from patient-derived tumouroids and here present a method for non-destructive, continuous image-based analysis of colorectal tumouroid growth and shape under chemotherapeutic perturbations, conducted within a clinically relevant timeframe.</div></div><div><h3>Results</h3><div>We assessed several readouts automatically derived from continuous imaging data and concluded that tumouroid growth, and the effect of growth inhibiting drugs, can be robustly monitored by measuring the total tumouroid-covered area in images. We also found that measures of average tumouroid size, diameter, and perimeter provide complementary insights.</div></div><div><h3>Conclusions</h3><div>Our tumouroid analysis method offers a strategy to maximise data extraction from non-destructive imaging techniques while preserving tumouroids for future research, all within a clinically relevant timeframe.</div></div>\",\"PeriodicalId\":100490,\"journal\":{\"name\":\"ESMO Gastrointestinal Oncology\",\"volume\":\"7 \",\"pages\":\"Article 100137\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ESMO Gastrointestinal Oncology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2949819825000068\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ESMO Gastrointestinal Oncology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949819825000068","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

患者源性类肿瘤的使用有望对临床前药物测试和临床决策支持产生重大影响。然而,在药物筛选中从这些样本中获取数据往往受到耗时的程序、稀缺的筛选材料和破坏性的单参数终点测量的限制。我们试图增加从患者源性类肿瘤中收集的数据,并在此提出一种在临床相关时间框架内对化疗干扰下结直肠类肿瘤生长和形状进行非破坏性、连续图像分析的方法。结果我们评估了从连续成像数据自动得出的几个读数,并得出结论,通过测量图像中总肿瘤覆盖面积,可以可靠地监测类肿瘤的生长和生长抑制药物的作用。我们还发现,测量平均肿瘤大小、直径和周长提供了互补的见解。结论sour类肿瘤分析方法提供了一种策略,可以最大限度地从非破坏性成像技术中提取数据,同时保留类肿瘤以供未来研究,所有这些都在临床相关的时间框架内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Continuous imaging to evaluate growth and drug responses of patient-derived colorectal tumouroids

Background

The use of patient-derived tumouroids is expected to have major implications in preclinical drug testing and clinical decision support. Data acquisition from these samples in drug screens, however, is often limited by time-consuming procedures, scarce screening material, and destructive, single-parameter endpoint measurements.

Design

We seek to increase data collected from patient-derived tumouroids and here present a method for non-destructive, continuous image-based analysis of colorectal tumouroid growth and shape under chemotherapeutic perturbations, conducted within a clinically relevant timeframe.

Results

We assessed several readouts automatically derived from continuous imaging data and concluded that tumouroid growth, and the effect of growth inhibiting drugs, can be robustly monitored by measuring the total tumouroid-covered area in images. We also found that measures of average tumouroid size, diameter, and perimeter provide complementary insights.

Conclusions

Our tumouroid analysis method offers a strategy to maximise data extraction from non-destructive imaging techniques while preserving tumouroids for future research, all within a clinically relevant timeframe.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信