Tumorigenicity Assessment of Human Cancer Cell Lines Xenografted on Immunodeficient Mice as Positive Controls of Tumorigenicity Testing

良好制造规范 诱导多能干细胞 临床前试验 清脆的 癌症 临床试验 细胞培养 医学 癌症研究 生物信息学 生物 生物技术 基因 胚胎干细胞 内科学 遗传学 监管事务
作者
Seunghee Oh,Eun-Young Gu,Ji‐Seok Han,Byoung‐Seok Lee,Kyoung‐Sik Moon,Yong‐Bum Kim,Kang-Hyun Han
出处
期刊:International Journal of Toxicology [SAGE]
卷期号:41 (6): 476-487 被引量:3
标识
DOI:10.1177/10915818221124573
摘要

Recent advances in human pluripotent stem cell (hPSC)-derived cell therapies and genome editing technologies such as CRISPR/Cas9 make regenerative medicines promising for curing diseases previously thought to be incurable. However, the possibility of off-target effects during genome editing and the nature of hPSCs, which can differentiate into any cell type and infinitely proliferate, inevitably raises concerns about tumorigenicity. Tumorigenicity acts as a major obstacle to the application of hPSC-derived and gene therapy products in clinical practice. Thus, regulatory authorities demand mandatory tumorigenicity testing as a key pre-clinical safety step for the products. In the tumorigenicity testing, regulatory guidelines request to include human cancer cell line injected positive control group (PC) animals, which must form tumors. As the validity of the whole test is determined by the tumor-forming rates (typically above 90%) of PC animals, establishing the stable tumorigenic condition of PC animals is critical for successful testing. We conducted several studies to establish the proper positive control conditions, including dose, administration routes, and the selection of cell lines, in compliance with Good Laboratory Practice (GLP) regulations and/or guidelines, which are essential for pre-clinical safety tests of therapeutic materials. We expect that our findings provide insights and practical information to create a successful tumorigenicity test and its guidelines.

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
小鹿完成签到,获得积分10
刚刚
刚刚
纳斯达克完成签到,获得积分10
1秒前
1秒前
2秒前
淡淡de橙子完成签到,获得积分10
2秒前
贝塔贝塔发布了新的文献求助10
2秒前
2秒前
科研通AI2S应助调皮的滑板采纳,获得10
3秒前
bubu发布了新的文献求助10
3秒前
xixi发布了新的文献求助10
3秒前
4秒前
4秒前
xiaofeizhu发布了新的文献求助10
4秒前
深情安青应助刘丰铭采纳,获得10
4秒前
无极微光应助雷Lei采纳,获得20
5秒前
5秒前
5秒前
Eon发布了新的文献求助10
5秒前
7秒前
十把刀刀完成签到,获得积分10
7秒前
8秒前
隐形曼青应助美好的冷亦采纳,获得10
8秒前
xiasha完成签到 ,获得积分10
8秒前
9秒前
9秒前
幽默的尔蓝完成签到,获得积分10
9秒前
科研通AI6应助f1mike110采纳,获得10
9秒前
Liao完成签到,获得积分10
10秒前
小懒猪完成签到,获得积分10
11秒前
木木木发布了新的文献求助10
11秒前
xixi完成签到,获得积分20
11秒前
我爱学习发布了新的文献求助10
12秒前
00完成签到,获得积分10
12秒前
糖果完成签到 ,获得积分10
12秒前
CipherSage应助柒玉染采纳,获得10
13秒前
科研民工李完成签到,获得积分10
13秒前
14秒前
123发布了新的文献求助20
14秒前
英俊的铭应助xiaofeizhu采纳,获得10
15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
Basic And Clinical Science Course 2025-2026 3000
Encyclopedia of Agriculture and Food Systems Third Edition 2000
人脑智能与人工智能 1000
花の香りの秘密―遺伝子情報から機能性まで 800
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
Pharmacology for Chemists: Drug Discovery in Context 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5608292
求助须知:如何正确求助?哪些是违规求助? 4692876
关于积分的说明 14875899
捐赠科研通 4717214
什么是DOI,文献DOI怎么找? 2544162
邀请新用户注册赠送积分活动 1509147
关于科研通互助平台的介绍 1472809