The Use of Patient-Derived Organoids in the Study of Molecular Metabolic Adaptation in Breast Cancer

乳腺癌 类有机物 计算生物学 癌症 肿瘤微环境 生物 癌症研究 生物信息学 神经科学 遗传学
作者
Natalija Glibetić,Scott Bowman,Tia Skaggs,Michael Weichhaus
出处
期刊:International Journal of Molecular Sciences [MDPI AG]
卷期号:25 (19): 10503-10503
标识
DOI:10.3390/ijms251910503
摘要

Around 13% of women will likely develop breast cancer during their lifetime. Advances in cancer metabolism research have identified a range of metabolic reprogramming events, such as altered glucose and amino acid uptake, increased reliance on glycolysis, and interactions with the tumor microenvironment (TME), all of which present new opportunities for targeted therapies. However, studying these metabolic networks is challenging in traditional 2D cell cultures, which often fail to replicate the three-dimensional architecture and dynamic interactions of real tumors. To address this, organoid models have emerged as powerful tools. Tumor organoids are 3D cultures, often derived from patient tissue, that more accurately mimic the structural and functional properties of actual tumor tissues in vivo, offering a more realistic model for investigating cancer metabolism. This review explores the unique metabolic adaptations of breast cancer and discusses how organoid models can provide deeper insights into these processes. We evaluate the most advanced tools for studying cancer metabolism in three-dimensional culture models, including optical metabolic imaging (OMI), matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI), and recent advances in conventional techniques applied to 3D cultures. Finally, we explore the progress made in identifying and targeting potential therapeutic targets in breast cancer metabolism.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
顺鑫发布了新的文献求助10
1秒前
oceanao应助饱满秋采纳,获得10
1秒前
鹅帮逮完成签到,获得积分10
1秒前
烟花应助优雅的胡萝卜采纳,获得10
1秒前
pbj发布了新的文献求助10
5秒前
5秒前
Owen应助热情笑旋采纳,获得10
9秒前
十一完成签到,获得积分10
10秒前
郭郭发布了新的文献求助10
10秒前
光亮语梦完成签到 ,获得积分10
10秒前
mm完成签到,获得积分10
10秒前
夏威夷发布了新的文献求助10
11秒前
11秒前
11秒前
11秒前
Ricardo发布了新的文献求助10
11秒前
12秒前
12秒前
情怀应助雨过山青采纳,获得10
13秒前
Lucas应助超级小刺猬采纳,获得10
15秒前
wangbw发布了新的文献求助30
15秒前
英姑应助科研通管家采纳,获得10
15秒前
HEIKU应助科研通管家采纳,获得10
15秒前
深情安青应助科研通管家采纳,获得10
15秒前
科研通AI2S应助科研通管家采纳,获得10
15秒前
天天快乐应助科研通管家采纳,获得10
15秒前
小马甲应助科研通管家采纳,获得30
15秒前
在水一方应助科研通管家采纳,获得10
16秒前
田様应助科研通管家采纳,获得10
16秒前
HEIKU应助科研通管家采纳,获得10
16秒前
李健应助科研通管家采纳,获得10
16秒前
安之于数发布了新的文献求助30
16秒前
jia应助科研通管家采纳,获得10
16秒前
打打应助科研通管家采纳,获得30
16秒前
汉堡包应助科研通管家采纳,获得20
16秒前
领导范儿应助科研通管家采纳,获得10
16秒前
月亮发布了新的文献求助10
19秒前
nene发布了新的文献求助10
19秒前
19秒前
wangbw完成签到,获得积分10
21秒前
高分求助中
Earth System Geophysics 1000
Semiconductor Process Reliability in Practice 650
Studies on the inheritance of some characters in rice Oryza sativa L 600
Medicina di laboratorio. Logica e patologia clinica 600
《关于整治突出dupin问题的实施意见》(厅字〔2019〕52号) 500
Mathematics and Finite Element Discretizations of Incompressible Navier—Stokes Flows 500
Language injustice and social equity in EMI policies in China 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3207447
求助须知:如何正确求助?哪些是违规求助? 2856771
关于积分的说明 8107203
捐赠科研通 2522094
什么是DOI,文献DOI怎么找? 1355367
科研通“疑难数据库(出版商)”最低求助积分说明 642208
邀请新用户注册赠送积分活动 613489