E-selectin-targeted polymer-doxorubicin conjugate induces regression of established colorectal liver metastases and improves mice survival

结合 阿霉素 结直肠癌 癌症研究 肿瘤科 内科学 医学 化疗 癌症 数学 数学分析
作者
Marie Rütter,Nenad Milošević,Yvonne Ventura,Valeria Feinshtein,Ayelet David
出处
期刊:Nano Today [Elsevier BV]
卷期号:55: 102182-102182 被引量:3
标识
DOI:10.1016/j.nantod.2024.102182
摘要

Liver metastases arising from colorectal cancer (CRC) are a major challenge for cancer treatment, as they often emerge as unresectable and resistant to therapy. Novel treatments targeting the specific metastatic tumor microenvironment (TME) may improve the therapeutic outcome. One relevant receptor at the TME in the liver is the endothelial-expressed cell adhesion molecule E-selectin. In this study, we showed in a mouse model of aggressive CT26-derived liver metastasis, that the delivery of otherwise non-effective Doxorubicin via an E-selectin-targeted polymer-peptide-drug conjugate reduced tumor burden of liver metastases and significantly prolonged survival, with ∼50% of mice being tumor-free. In contrast to B16-derived lung metastases, which can successfully be prevented by a "drug-free" E-selectin-blocking copolymer, neither E-selectin-blocking pre-treatment nor the combination with targeted Doxorubicin-delivery proved beneficial against CT26 liver metastasis. In-depth inquiry revealed that E-selectin-blockade by the "drug-free" copolymer reduced E-selectin expression in metastatic livers, but did not prevent CT26 liver colonization, and increased the prevalence of B-cells, possibly indicating an ambiguous role of these cells. However, it did not significantly alter leukocyte migration into the malignant tissue. Overall, targeting E-selectin with nanomedicines is a highly efficient strategy to treat established liver metastases, while the benefit of E-selectin blockade by itself may depend on tumor type and TME-specific factors.
最长约 10秒,即可获得该文献文件

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
刚刚
搜集达人应助mczhu采纳,获得10
1秒前
1秒前
3秒前
XueXiTong完成签到,获得积分10
4秒前
ATYS完成签到,获得积分10
4秒前
万能图书馆应助曾斯诺采纳,获得10
4秒前
ccc完成签到 ,获得积分10
4秒前
斯文败类应助贝贝采纳,获得10
5秒前
奋斗千秋发布了新的文献求助10
5秒前
7秒前
BERT完成签到,获得积分10
9秒前
wind2631完成签到,获得积分10
9秒前
10秒前
绫小路完成签到 ,获得积分10
10秒前
carbonhan完成签到,获得积分0
11秒前
魏凯源发布了新的文献求助10
11秒前
上官若男应助拓跋箴采纳,获得10
12秒前
12秒前
西西完成签到,获得积分10
13秒前
13秒前
嗯enene完成签到,获得积分20
13秒前
852应助笑点低的晓亦采纳,获得10
13秒前
因几完成签到 ,获得积分10
14秒前
会飞的木鱼完成签到,获得积分10
14秒前
善学以致用应助wuhuhu采纳,获得10
15秒前
高不二发布了新的文献求助10
15秒前
17秒前
18秒前
18秒前
但行好事发布了新的文献求助10
18秒前
shJ发布了新的文献求助10
21秒前
mczhu发布了新的文献求助10
21秒前
22秒前
22秒前
LQH完成签到 ,获得积分10
22秒前
科研通AI6.1应助liang采纳,获得10
22秒前
共享精神应助嗯enene采纳,获得10
22秒前
22秒前
研友_VZG7GZ应助科研通管家采纳,获得10
23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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6359264
求助须知:如何正确求助?哪些是违规求助? 8173237
关于积分的说明 17213576
捐赠科研通 5414355
什么是DOI,文献DOI怎么找? 2865433
邀请新用户注册赠送积分活动 1842799
关于科研通互助平台的介绍 1690962