Application of Nano‐Drug Delivery Systems in Lung Cancer Diagnosis and Treatment

肺癌 医学 药物输送 肺癌的治疗 个性化医疗 癌症 靶向给药 靶向治疗 精密医学 生物标志物 药品 癌症治疗 分子成像 药物开发 临床试验 医学物理学 生物信息学 癌症治疗 重症监护医学 肿瘤科 联合疗法
作者
Lei Tian,Xiaoyu Wang,Ying Chen,Weidong Wang,Aobo Wu,Qiong Jiang,Haibo Zhu,Na Liu,Jicheng Pan,Yanxia Jin
出处
期刊:Biotechnology Journal [Wiley]
卷期号:20 (10): e70147-e70147
标识
DOI:10.1002/biot.70147
摘要

Lung cancer remains one of the leading causes of morbidity and mortality, highlighting the urgent need for innovative approaches to improve diagnosis and treatment outcomes. Nano-drug delivery systems (NDDSs) exhibit high surface-to-volume ratios, superparamagnetic characteristics, and distinct optical properties, which can be modified by altering their dimensions, geometries, chemical compositions, and surface functional groups, so NDDSs can be utilized for biomolecule detection and enable targeted drug delivery to tumors for enhancing anti-tumor activity, thereby showing great potential in lung cancer diagnosis and treatment. This review examines how NDDSs can enhance in vivo imaging using CT, MRI, PET, and multimodal imaging, as well as in vitro imaging, for the diagnosis of lung cancer. It further highlights the contribution of NDDSs to optimize conventional treatments in lung cancer, including surgery, radiotherapy, chemotherapy, immunotherapy, and targeted therapy by improving drug targeting, reducing side effects, and helping to overcome treatment resistance. In addition, NDDSs can assist combination therapy, enhance gene stability, and deliver natural bioactive compounds in currently investigated therapeutic strategies. Therefore, NDDSs offer innovative approaches for lung cancer diagnosis and treatment, with the potential to significantly improve survival rates in lung cancer patients. SUMMARY: Nano-drug delivery systems (NDDSs) can improve the accuracy of lung cancer diagnosis through enhanced imaging and biomarker targeting. NDDSs optimize conventional therapies by improving drug targeting, reducing side effects, and helping to overcome treatment resistance. NDDS-based platforms support combination therapies and personalized medicine approaches in lung cancer management.
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
cy8971发布了新的文献求助10
1秒前
在水一方应助Misaki采纳,获得10
1秒前
Kao应助黄丽媛采纳,获得10
1秒前
丘比特应助楼下太吵了采纳,获得10
2秒前
cyanpomelo完成签到,获得积分10
2秒前
三七完成签到,获得积分10
2秒前
7Hours发布了新的文献求助10
2秒前
欢喜柚子发布了新的文献求助10
3秒前
Y_关闭了Y_文献求助
3秒前
liao完成签到,获得积分10
3秒前
3秒前
ZongchenYang完成签到,获得积分10
4秒前
吴吴吴发布了新的文献求助10
4秒前
4秒前
4秒前
cong完成签到 ,获得积分10
5秒前
完美平灵完成签到,获得积分10
5秒前
twk关闭了twk文献求助
5秒前
5秒前
卑微老大完成签到 ,获得积分10
6秒前
XZY发布了新的文献求助10
6秒前
7秒前
炙热迎天完成签到,获得积分10
8秒前
8秒前
阳光的萃发布了新的文献求助10
8秒前
8秒前
科研通AI6.4应助汤汤采纳,获得10
9秒前
9秒前
MozzieMiao应助笑点低的文轩采纳,获得50
9秒前
科研通AI6.4应助无私翅膀采纳,获得10
9秒前
傲骨完成签到,获得积分10
9秒前
纯真紫伊完成签到,获得积分10
10秒前
今后应助坦率安青采纳,获得10
10秒前
fxunq完成签到,获得积分10
10秒前
Hi完成签到,获得积分10
11秒前
赘婿应助在下威猛先生采纳,获得10
11秒前
嘉心糖应助科研通管家采纳,获得20
11秒前
qqqq应助科研通管家采纳,获得10
11秒前
酷波er应助科研通管家采纳,获得20
11秒前
11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
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 590
Évora na Idade Média 555
Soil mites of the family Rhagidiidae (Actinedida: Eupodoidea). Morphology, Systematics, Ecology 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Stratospheric Ozone: A Textbook 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 7359344
求助须知:如何正确求助?哪些是违规求助? 8969418
关于积分的说明 19062361
捐赠科研通 7006214
什么是DOI,文献DOI怎么找? 3222853
关于科研通互助平台的介绍 2386786
邀请新用户注册赠送积分活动 2203685