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基于非线性光学显微镜的无标记成像技术在揭示肿瘤微环境异质性方面的最新进展。

Recent advances in label-free imaging techniques based on nonlinear optical microscopy to reveal the heterogeneity of the tumor microenvironment.

作者信息

Chakraborty Ishita, Mazumder Nirmal, Gogoi Ankur, Chen Ming-Chi, Zhuo Guan Yu

机构信息

Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India.

Department of Physics, Jagannath Barooah University, Jorhat, Assam 785001 India.

出版信息

Biophys Rev. 2024 Sep 28;16(5):581-590. doi: 10.1007/s12551-024-01229-y. eCollection 2024 Oct.

Abstract

The tumor microenvironment (TME) is a complex and dynamic network that significantly influences cancer progression. Understanding its intricate components, including the extracellular matrix (ECM), stromal cells, immune cells, and vascular endothelial cells, is crucial for developing effective cancer therapies. Conventional diagnostic methods, while essential, have limitations in sensitivity, specificity, and invasiveness. Label-free multimodal nonlinear optical (MNLO) microscopy offers a promising alternative, enabling detailed imaging without external labels. Techniques such as second harmonic generation (SHG), third harmonic generation (THG), coherent anti-Stokes Raman scattering (CARS), and two-photon fluorescence (TPF) provide complementary insights into the TME. SHG is particularly effective for imaging collagen fibers, while CARS highlights lipid-rich structures, and THG and TPF offer high-resolution imaging of cellular and subcellular structures. These modalities reveal crucial information about tumor progression, including changes in collagen organization and lipid metabolism, and allow for the study of cellular interactions and ECM remodeling. Multimodal setups, combining SHG, CARS, THG, and TPF, enable comprehensive analysis of the TME, facilitating the identification of early-stage cancerous changes and tracking of tumor progression. Despite the advantages of MNLO microscopy, such as reduced photodamage and the ability to image live tissues, challenges remain, including the complexity and cost of the setups. Addressing these challenges through technological advancements and optimization can enhance the applicability of MNLO microscopy in clinical diagnostics and cancer research, ultimately contributing to improved cancer diagnosis, prognosis, and treatment strategies.

摘要

肿瘤微环境(TME)是一个复杂且动态的网络,对癌症进展有显著影响。了解其复杂成分,包括细胞外基质(ECM)、基质细胞、免疫细胞和血管内皮细胞,对于开发有效的癌症治疗方法至关重要。传统诊断方法虽然必不可少,但在敏感性、特异性和侵入性方面存在局限性。无标记多模态非线性光学(MNLO)显微镜提供了一种有前景的替代方法,能够在无需外部标记的情况下进行详细成像。诸如二次谐波产生(SHG)、三次谐波产生(THG)、相干反斯托克斯拉曼散射(CARS)和双光子荧光(TPF)等技术为TME提供了互补的见解。SHG对胶原纤维成像特别有效,而CARS突出富含脂质的结构,THG和TPF提供细胞和亚细胞结构的高分辨率成像。这些模态揭示了有关肿瘤进展的关键信息,包括胶原组织和脂质代谢的变化,并允许研究细胞相互作用和ECM重塑。结合SHG、CARS、THG和TPF的多模态设置能够对TME进行全面分析,有助于识别早期癌变变化并跟踪肿瘤进展。尽管MNLO显微镜具有诸如减少光损伤和能够对活组织成像等优点,但挑战仍然存在,包括设置的复杂性和成本。通过技术进步和优化来应对这些挑战,可以提高MNLO显微镜在临床诊断和癌症研究中的适用性,最终有助于改善癌症诊断、预后和治疗策略。

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