A 3D image-based phenotypic screen of bi-specific antibodies targeting stem cells in a panel of patient derived colon carcinoma organoids.

类有机物 医学 癌症研究 干细胞 癌症干细胞 表型 病理 结直肠癌 干细胞标记物
作者
Leo Price,Bram Herpers,Rob C. Roovers,Berina Eppink,Marc van de Wetering,Kuan Yan,Lucia Salinaro,Wim de Lau,Robert G.J. Vries,Mark Throsby
出处
期刊:Journal of Clinical Oncology [Lippincott Williams & Wilkins]
卷期号:34 (15_suppl): e23174-e23174
标识
DOI:10.1200/jco.2016.34.15_suppl.e23174
摘要

e23174 Background: Organoid cultures grown in 3D increase the likelihood for accurately predicting drug responses in patients, discriminating different drug responses and flagging toxicity. We used a high content screening platform and a panel of 40 patient derived colorectal cancer (CRC) organoids to characterize the responses to a large panel of (545) bispecific antibodies. These antibodies comprised a HER3 or EGFR targeting arm combined with a LGR4, LGR5, ZNRF3 or RNF43 targeting arm to target CRC stem cells. Methods: Automated 3D imaging and analysis of CRC organoids was performed. Results: The broad mutational spectrum of the organoids was reflected in a broad heterogeneity of organoid phenotypes. Some CRC organoids formed well-differentiated spheroids with a single lumen that resembled wild type organoids, whereas others had multiple lumens or were poorly differentiated without a luminal cavity. A rich set of morphological features was extracted from 3D image data, including organoid size and shape, planar cell polarity, lumen formation as well as cell number and nucleus shape. Some features, such as those that described lumen formation, were more sensitive in detecting drug treatment than features associated with cell proliferation, improving the sensitivity of the assay to detect active molecules. A set of 10 features was selected to create a drug response profile. The bispecific antibody screen was performed in two stages: a primary screen in three different tumoroid models (18,908 wells) and a validation screen in 25 different tumoroid models (23,040 wells). These screens simultaneously measured morphological alterations associated with growth, differentiation and survival (e.g. apoptosis) and identified a panel of bispecific antibodies that potently inhibited the growth of a significant majority of colorectal cancer tumoroid models tested. Conclusions: These results demonstrate that high content screening of CRC organoids is an effective strategy to identify novel inhibitors of CRC tumor outgrowth and enable identification of bispecific antibodies that target colorectal cancer stem cells with different mutational backgrounds.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
无极微光的应助被热情曲奇采纳,获得20
2秒前
sci的应助被蔺殷采纳,获得10
2秒前
Caboda发布了新的文献求助10
3秒前
3秒前
SciGPT的应助被lzx采纳,获得10
4秒前
5秒前
5秒前
终醒完成签到,获得积分10
5秒前
leichen发布了新的文献求助10
6秒前
6秒前
Rona完成签到,获得积分10
6秒前
朱鸿炜发布了新的文献求助10
6秒前
叭叭叭发布了新的文献求助10
7秒前
Zenia完成签到,获得积分10
8秒前
8秒前
9秒前
乔杰发布了新的文献求助10
9秒前
学术雷锋发布了新的文献求助20
9秒前
9秒前
9秒前
大爱发布了新的文献求助10
10秒前
lin发布了新的文献求助10
10秒前
平安完成签到,获得积分10
11秒前
Jasper的应助被shead采纳,获得10
11秒前
11秒前
ying777完成签到,获得积分10
12秒前
12秒前
12秒前
懵懂的书本完成签到,获得积分10
13秒前
cmcm完成签到,获得积分10
13秒前
Qiao发布了新的文献求助10
14秒前
Luckyhai发布了新的文献求助10
14秒前
15秒前
虚心水池完成签到,获得积分20
15秒前
16秒前
16秒前
科研通AI6.2的应助被Arthur采纳,获得10
16秒前
sona4032完成签到,获得积分10
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Das Matthäusevangelium: Kapitel 1:1–17 1000
Les Mots du discours 600
OREDA手册2009年第5版 500
A Consideration on Use of Material Grades for Hull Structural Members Based on Fracture Toughness(Second Report) 500
AI Disclosure in Annual Reports: Evolution, Determinants, and Capital Market Participants’ Perceptions 500
5th World Conference on Detergents: Reinventing the Industry : Opportunities and Challenges 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8113020
求助须知:如何正确求助?哪些是违规求助? 9519762
关于积分的说明 21525962
捐赠科研通 7690943
什么是DOI,文献DOI怎么找? 3412702
关于科研通互助平台的介绍 2539213
邀请新用户注册赠送积分活动 2452621