IF 4 2区 医学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
STEM CELLS Pub Date : 2025-02-14 DOI:10.1093/stmcls/sxae084
Francesca Pagliari, Luca Tirinato, Enzo Di Fabrizio
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引用次数: 0

摘要

过去二十年来,研究越来越多地关注癌症干细胞(CSCs),认为它们是肿瘤形成、抗药性和复发的罪魁祸首。用于描述肿瘤异质性的传统 "静态 "癌干细胞模型受到了癌干细胞动态性质和可塑性证据的挑战。全面了解这种可塑性的内在机制以及明确识别癌症标志物以精确靶向 CSCs 的能力,对于推进癌症研究和引入更有效的治疗策略至关重要。在此背景下,拉曼光谱(RS)和特定拉曼方案(包括 CARS、SRS 和 SERS)已成为体外和体内分子分析的创新工具。事实上,这些技术已经在癌症检测领域以及术中环境中显示出相当大的潜力,这要归功于它们的无标记性和微创性。然而,RS 在临床前和临床应用中的整合仍然有限,尤其是在造血干细胞领域。本综述简要概述了 RS 的历史发展及其优势。然后,在介绍了造血干细胞的特征以及用传统方法靶向造血干细胞所面临的挑战之后,我们回顾并讨论了目前有关应用 RS 揭示和表征造血干细胞及其固有可塑性的文献,包括一段有关人工智能与 RS 整合的简短介绍。通过更好地描述细胞微环境中的细胞多样性,RS 可以彻底改变目前的诊断和治疗方法,实现 CSCs 的早期识别,促进个性化治疗策略的开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Raman Spectroscopies for Cancer Research and Clinical Applications: a Focus on Cancer Stem Cells.

Over the last two decades, research has increasingly focused on Cancer Stem Cells (CSCs), considered responsible for tumor formation, resistance to therapies, and relapse. The traditional "static" CSC model used to describe tumor heterogeneity has been challenged by the evidence of CSC dynamic nature and plasticity. A comprehensive understanding of the mechanisms underlying this plasticity, and the capacity to unambiguously identify cancer markers to precisely target CSCs are crucial aspects for advancing cancer research and introducing more effective treatment strategies. In this context, Raman spectroscopy (RS) and specific Raman schemes, including CARS, SRS, SERS, have emerged as innovative tools for molecular analyses both in vitro and in vivo. In fact, these techniques have demonstrated considerable potential in the field of cancer detection, as well as in intraoperative settings, thanks to their label-free nature and minimal invasiveness. However, the RS integration in pre-clinical and clinical applications, particularly in the CSC field, remains limited. This review provides a concise overview of the historical development of RS and its advantages. Then, after introducing the CSC features and the challenges in targeting them with traditional methods, we review and discuss the current literature about the application of RS for revealing and characterizing CSCs and their inherent plasticity, including a brief paragraph about the integration of artificial intelligence with RS. By providing the possibility to better characterize the cellular diversity in their microenvironment, RS could revolutionize current diagnostic and therapeutic approaches, enabling early identification of CSCs and facilitating the development of personalized treatment strategies.

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来源期刊
STEM CELLS
STEM CELLS 医学-生物工程与应用微生物
CiteScore
10.30
自引率
1.90%
发文量
104
审稿时长
3 months
期刊介绍: STEM CELLS, a peer reviewed journal published monthly, provides a forum for prompt publication of original investigative papers and concise reviews. STEM CELLS is read and written by clinical and basic scientists whose expertise encompasses the rapidly expanding fields of stem and progenitor cell biology. STEM CELLS covers: Cancer Stem Cells, Embryonic Stem Cells/Induced Pluripotent Stem (iPS) Cells, Regenerative Medicine, Stem Cell Technology: Epigenetics, Genomics, Proteomics, and Metabonomics, Tissue-Specific Stem Cells, Translational and Clinical Research.
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