探索癌细胞的力学和电学特性,以改进诊断和治疗

IF 3 3区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Michał Gebuza , Julia Górczyńska , Wiktoria Paczos , Szymon Pieczara , Katarzyna Rekiel , Piotr Urbanowicz , Marek Kulbacki , Vitalij Novickij , Julita Kulbacka
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引用次数: 0

摘要

在过去的十年中,人们对癌细胞的机械和电学特性以及它们在改进诊断和治疗方面的潜力越来越感兴趣。癌细胞表现出独特的机械和电学特性,包括硬度、粘附性、电荷和形状的改变,这是它们与正常细胞的区别。研究人员正在探索利用这些特性开发新的诊断工具和治疗方法,以选择性地靶向癌细胞,同时最大限度地减少对健康组织的伤害。机器学习(ML)的最新进展增强了对癌细胞行为的分析,使基于电气和机械“生物标志物”的更准确识别成为可能,并为早期诊断和个性化治疗策略提供了潜力。在这篇综述中,我们将回顾最近关于癌细胞的力学和电学特性的研究,并讨论它们对加强癌症的诊断和治疗的潜在意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Exploring the mechanical and electrical properties of cancer cells for improved diagnosis and treatment

Exploring the mechanical and electrical properties of cancer cells for improved diagnosis and treatment
Over the past decade, there has been growing interest in the mechanical and electrical properties of cancer cells and their potential for improved diagnosis and treatment. Cancer cells exhibit unique mechanical and electrical properties, including altered stiffness, adhesion, charge, and shape, which distinguish them from normal cells. Researchers are exploring ways to use these properties to develop new diagnostic tools and therapeutic approaches that selectively target cancer cells while minimizing harm to healthy tissue. Recent advancements in machine learning (ML) have enhanced the analysis of cancer cell behavior, enabling more accurate identification based on electrical and mechanical “biomarkers” and offering the potential for early diagnosis and personalized treatment strategies. In this review, we will examine the most recent research on the mechanical and electrical properties of cancer cells and discuss their potential implications for enhancing the diagnosis and treatment of cancer.
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来源期刊
Archives of biochemistry and biophysics
Archives of biochemistry and biophysics 生物-生化与分子生物学
CiteScore
7.40
自引率
0.00%
发文量
245
审稿时长
26 days
期刊介绍: Archives of Biochemistry and Biophysics publishes quality original articles and reviews in the developing areas of biochemistry and biophysics. Research Areas Include: • Enzyme and protein structure, function, regulation. Folding, turnover, and post-translational processing • Biological oxidations, free radical reactions, redox signaling, oxygenases, P450 reactions • Signal transduction, receptors, membrane transport, intracellular signals. Cellular and integrated metabolism.
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