The biology and engineered modeling strategies of cancer-nerve crosstalk

串扰 神经科学 体外 癌细胞 旁侵犯 癌症 生物 医学 癌症研究 内科学 生物化学 物理 光学
作者
Emory Gregory,Reagan Dugan,Gabriel David,Young Hye Song
出处
期刊:Biochimica Et Biophysica Acta - Reviews On Cancer [Elsevier BV]
卷期号:1874 (2): 188406-188406 被引量:12
标识
DOI:10.1016/j.bbcan.2020.188406
摘要

A recent finding critical to cancer aggravation is the interaction between cancer cells and nerves. There exist two main modes of cancer-nerve interaction: perineural invasion (PNI) and tumor innervation. PNI occurs when cancer cells infiltrate the adjacent nerves, and its relative opposite, tumor innervation, occurs when axons extend into tumor bodies. Like most cancer studies, these crosstalk interactions have mostly been observed in patient samples and animal models at this point, making it difficult to understand the mechanisms in a controlled manner. As such, in recent years in vitro studies have emerged that have helped identify various microenvironmental factors responsible for cancer-nerve crosstalk, including but not limited to neurotrophic factors, neurotransmitters, chemokines, cancer-derived exosomes, and Schwann cells. The versatility of in vitro systems warrants continuous development to increase physiological relevance to study PNI and tumor innervation, for example by utilizing biomimetic three-dimensional (3D) culture systems. Despite the wealth of 3D in vitro cancer models, comparatively there exists a lack of 3D in vitro models of nerve, PNI, and tumor innervation. Native-like 3D in vitro models of cancer-nerve interactions may further help develop therapeutic strategies to curb nerve-mediated cancer aggravation. As such, we provide an overview of the key players of cancer-nerve crosstalk and current in vitro models of the crosstalk, as well as cancer and nerve models. We also discuss a few future directions in cancer-nerve crosstalk research.
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
踏雪完成签到,获得积分10
刚刚
qxm完成签到 ,获得积分10
1秒前
1秒前
乐乐应助kerbal采纳,获得10
1秒前
星辰大海应助自由宛筠采纳,获得10
2秒前
2秒前
充电宝应助xx采纳,获得10
3秒前
4秒前
feixu完成签到,获得积分10
5秒前
姜圆发布了新的文献求助50
5秒前
纳纳椰发布了新的文献求助10
5秒前
星辰大海应助yulog采纳,获得20
5秒前
6秒前
6秒前
lius发布了新的文献求助10
8秒前
9秒前
Ava应助Atlantis采纳,获得10
9秒前
吐司炸弹完成签到,获得积分10
10秒前
HH完成签到 ,获得积分10
11秒前
赘婿应助慢慢采纳,获得10
12秒前
SciGPT应助摔跤的猫采纳,获得10
12秒前
张美超发布了新的文献求助10
13秒前
炙热尔阳发布了新的文献求助10
13秒前
CHME完成签到,获得积分10
14秒前
14秒前
cency发布了新的文献求助10
15秒前
15秒前
16秒前
16秒前
16秒前
科研通AI6.2应助三三采纳,获得10
16秒前
星辰大海应助科研通管家采纳,获得10
16秒前
leng应助科研通管家采纳,获得10
16秒前
999999应助科研通管家采纳,获得10
16秒前
搜集达人应助科研通管家采纳,获得10
16秒前
HarryQ完成签到,获得积分10
16秒前
科目三应助科研通管家采纳,获得10
16秒前
共享精神应助科研通管家采纳,获得10
17秒前
17秒前
caffeine应助科研通管家采纳,获得10
17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
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
适配Micro-LED色转换的高兼容性量子点负性光刻胶制备与工艺研究 500
Direct and Iterative Linear System Solvers 500
Vander's Renal Physiology第10版 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 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7309766
求助须知:如何正确求助?哪些是违规求助? 8926792
关于积分的说明 18919719
捐赠科研通 6971938
什么是DOI,文献DOI怎么找? 3213024
关于科研通互助平台的介绍 2381440
邀请新用户注册赠送积分活动 2191096