Invasion and metastasis in cancer: molecular insights and therapeutic targets

转移 癌症转移 计算生物学 癌症 生物 医学 癌症研究 遗传学
作者
Yongxing Li,Fengshuo Liu,Qingjin Cai,Lijun Deng,Qin Ouyang,Xiang H.-F. Zhang,Ji Zheng
出处
期刊:Signal Transduction and Targeted Therapy [Springer Nature]
卷期号:10 (1): 57-57 被引量:126
标识
DOI:10.1038/s41392-025-02148-4
摘要

The progression of malignant tumors leads to the development of secondary tumors in various organs, including bones, the brain, liver, and lungs. This metastatic process severely impacts the prognosis of patients, significantly affecting their quality of life and survival rates. Research efforts have consistently focused on the intricate mechanisms underlying this process and the corresponding clinical management strategies. Consequently, a comprehensive understanding of the biological foundations of tumor metastasis, identification of pivotal signaling pathways, and systematic evaluation of existing and emerging therapeutic strategies are paramount to enhancing the overall diagnostic and treatment capabilities for metastatic tumors. However, current research is primarily focused on metastasis within specific cancer types, leaving significant gaps in our understanding of the complex metastatic cascade, organ-specific tropism mechanisms, and the development of targeted treatments. In this study, we examine the sequential processes of tumor metastasis, elucidate the underlying mechanisms driving organ-tropic metastasis, and systematically analyze therapeutic strategies for metastatic tumors, including those tailored to specific organ involvement. Subsequently, we synthesize the most recent advances in emerging therapeutic technologies for tumor metastasis and analyze the challenges and opportunities encountered in clinical research pertaining to bone metastasis. Our objective is to offer insights that can inform future research and clinical practice in this crucial field.
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

祝大家在新的一年里科研腾飞
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
ran关注了科研通微信公众号
1秒前
3秒前
研友_Z3NGvn发布了新的文献求助10
3秒前
5秒前
在水一方应助殁177采纳,获得10
6秒前
jialing发布了新的文献求助30
7秒前
unicornmed发布了新的文献求助10
8秒前
ceeray23应助科研通管家采纳,获得30
9秒前
英俊的铭应助科研通管家采纳,获得10
9秒前
无花果应助科研通管家采纳,获得10
9秒前
嘿嘿应助Summer采纳,获得10
9秒前
Penguin完成签到,获得积分10
11秒前
11秒前
14秒前
Penguin发布了新的文献求助10
15秒前
21秒前
22秒前
23秒前
24秒前
殁177发布了新的文献求助10
25秒前
68发布了新的文献求助10
25秒前
Ziqing发布了新的文献求助10
26秒前
一颗苹果完成签到 ,获得积分10
27秒前
ran发布了新的文献求助10
27秒前
29秒前
不安一江发布了新的文献求助10
29秒前
UGO发布了新的文献求助10
29秒前
11应助unicornmed采纳,获得10
30秒前
30秒前
李爱国应助刘丰采纳,获得10
31秒前
刘曼淇发布了新的文献求助10
34秒前
hii发布了新的文献求助10
34秒前
36秒前
CodeCraft应助不安一江采纳,获得10
38秒前
40秒前
43秒前
44秒前
李健的小迷弟应助刘曼淇采纳,获得10
45秒前
acetdw发布了新的文献求助10
47秒前
48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
Les Mantodea de guyane 2500
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 600
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Competency Based Human Resource Management 500
How to Develop Robust Scale-up Strategies for Complex Injectable Dosage Forms 450
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 5863892
求助须知:如何正确求助?哪些是违规求助? 6396113
关于积分的说明 15649873
捐赠科研通 4978032
什么是DOI,文献DOI怎么找? 2685236
邀请新用户注册赠送积分活动 1628313
关于科研通互助平台的介绍 1586018