Engineered 3D ex vivo models to recapitulate the complex stromal and immune interactions within the tumor microenvironment

肿瘤微环境 离体 间质细胞 免疫系统 背景(考古学) 癌症 生物 计算生物学 癌症研究 体内 免疫学 遗传学 生物技术 古生物学
作者
Kalpana Ravi,Twinkle Jina Minette Manoharan,Kuei-Chun Wang,Barbara A. Pockaj,Mehdi Nikkhah
出处
期刊:Biomaterials [Elsevier]
卷期号:305: 122428-122428 被引量:20
标识
DOI:10.1016/j.biomaterials.2023.122428
摘要

Cancer thrives in a complex environment where interactions between cellular and acellular components, surrounding the tumor, play a crucial role in disease development and progression. Despite significant progress in cancer research, the mechanism driving tumor growth and therapeutic outcomes remains elusive. Two-dimensional (2D) cell culture assays and in vivo animal models are commonly used in cancer research and therapeutic testing. However, these models suffer from numerous shortcomings including lack of key features of the tumor microenvironment (TME) & cellular composition, cost, and ethical clearance. To that end, there is an increased interest in incorporating and elucidating the influence of TME. Advancements in 3D-engineered ex vivo models, leveraging biomaterials and microengineering technologies, have provided an unprecedented ability to reconstruct native-like bioengineered cancer models to study the heterotypic interactions of TME with a spatiotemporal organization. These bioengineered cancer models have shown excellent capabilities to bridge the gap between oversimplified 2D systems and animal models, which do not accurately represent the human context. In this review article, we primarily provide an overview of the immune and stromal cellular components of the TME and then discuss the latest state-of-the-art 3D-engineered ex vivo platforms aiming to recapitulate the complex TME features. The engineered TME model, discussed herein, are categorized into three sections according to the cellular interactions within TME: (i) Tumor-Stromal interactions, (ii) Tumor-Immune interactions, and (iii) Complex TME interactions. Finally, we will conclude the article with a perspective on how these models can be instrumental for cancer translational studies and therapeutic testing.
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
孤独的根号三完成签到 ,获得积分10
刚刚
1秒前
1秒前
开放的起眸完成签到,获得积分20
1秒前
酷波er应助dedex采纳,获得10
2秒前
周山山完成签到 ,获得积分10
3秒前
zhendezy发布了新的文献求助10
4秒前
4秒前
5秒前
刘厚麟发布了新的文献求助10
6秒前
后会无期发布了新的文献求助10
7秒前
Lucas应助王王碎冰冰采纳,获得10
7秒前
yznfly应助Hi采纳,获得20
7秒前
1123发布了新的文献求助10
8秒前
小橘子会发光完成签到,获得积分10
8秒前
犹豫的云朵完成签到,获得积分10
8秒前
zj发布了新的文献求助10
9秒前
asdfzxcv应助xiao采纳,获得10
10秒前
小马甲应助XXXX采纳,获得10
10秒前
量子星尘发布了新的文献求助10
11秒前
球球完成签到,获得积分10
11秒前
今后应助yao chen采纳,获得10
13秒前
14秒前
Ava应助小白兔采纳,获得20
14秒前
zj完成签到,获得积分10
15秒前
smh完成签到,获得积分10
16秒前
百事可乐完成签到,获得积分10
16秒前
浮游应助开放的起眸采纳,获得10
16秒前
miaojuly完成签到,获得积分10
16秒前
17秒前
18秒前
NexusExplorer应助tonyliking采纳,获得10
18秒前
景向发布了新的文献求助30
19秒前
19秒前
19秒前
20秒前
day关闭了day文献求助
20秒前
Ivy完成签到,获得积分10
21秒前
21秒前
bkagyin应助1123采纳,获得10
22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
Encyclopedia of Reproduction Third Edition 3000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
化妆品原料学 1000
Psychology of Self-Regulation 800
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
Red Book: 2024–2027 Report of the Committee on Infectious Diseases 500
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 5642322
求助须知:如何正确求助?哪些是违规求助? 4758662
关于积分的说明 15017257
捐赠科研通 4800969
什么是DOI,文献DOI怎么找? 2566262
邀请新用户注册赠送积分活动 1524397
关于科研通互助平台的介绍 1483913