Spatial-in-Spatial: The Utility of Combining Fluorescence-Guided Multiple Sampling with Spatial-Omics in Human Glioblastoma.

IF 4.7 2区医学 Q2 CELL BIOLOGY

Molecular Cancer Research Pub Date : 2025-10-02 DOI:10.1158/1541-7786.MCR-25-0194

Shubhang Bhalla, Bethsabe Romero, Yusor Al-Nuaimy, Felix Toussaint, Sina Zoghi, Niels Pacheco-Barrios, Stefan T Prvulovic, Christian A Bowers, Sara G M Piccirillo

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引用次数: 0

Abstract

Human glioblastoma (GBM) is a remarkable example of a highly aggressive and untreatable tumor. A formidable challenge in treating GBM is its extensive intratumor heterogeneity, which traditional bulk tissue analysis fails to capture. Fluorescence-guided multiple sampling, utilizing 5-aminolevulinic acid for tumor visualization, offers objective tumor tissue identification and enhanced spatial resolution. In this study, we present a perspective on a novel "spatial-in-spatial" approach that enables comprehensive analysis of tumor areas and their microenvironment-at macroscopic and microscopic levels-by combining fluorescence-guided multiple sampling with spatial-omics technologies. This perspective discusses how this integrated methodology has the potential to advance our understanding of GBM biology through the high-resolution, multidimensional characterization of tumor heterogeneity and identification of novel, area-specific therapeutic targets.

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空间中的空间：荧光引导多重采样与空间组学相结合在人类胶质母细胞瘤中的应用。

人类胶质母细胞瘤是一种高度侵袭性且无法治愈的肿瘤。治疗胶质母细胞瘤的一个巨大挑战是其广泛的肿瘤内异质性，传统的大块组织分析无法捕获。荧光引导多重采样，利用5-氨基乙酰丙酸进行肿瘤可视化，提供客观的肿瘤组织识别和增强的空间分辨率。在这里，我们提出了一种新的“空间中空间”方法的观点，通过将荧光引导的多次采样与空间组学技术相结合，可以在宏观和微观水平上对肿瘤区域及其微环境进行全面分析。这一观点讨论了这种综合方法如何通过高分辨率、多维度表征肿瘤异质性和识别新的、区域特异性治疗靶点来促进我们对胶质母细胞瘤生物学的理解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Molecular Cancer Research 医学-细胞生物学

CiteScore

9.90

自引率

0.00%

发文量

280

审稿时长

4-8 weeks

期刊介绍： Molecular Cancer Research publishes articles describing novel basic cancer research discoveries of broad interest to the field. Studies must be of demonstrated significance, and the journal prioritizes analyses performed at the molecular and cellular level that reveal novel mechanistic insight into pathways and processes linked to cancer risk, development, and/or progression. Areas of emphasis include all cancer-associated pathways (including cell-cycle regulation; cell death; chromatin regulation; DNA damage and repair; gene and RNA regulation; genomics; oncogenes and tumor suppressors; signal transduction; and tumor microenvironment), in addition to studies describing new molecular mechanisms and interactions that support cancer phenotypes. For full consideration, primary research submissions must provide significant novel insight into existing pathway functions or address new hypotheses associated with cancer-relevant biologic questions.