放射组学与空间组学在癌症肿瘤微环境分析中的整合前景及精准诊断与治疗的展望

Perspective on the integration of radiomics and spatial omics in the analysis of the tumor microenvironment of bladder cancer and prospects for precision diagnosis and treatment.

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摘要(中文译文)

膀胱癌是泌尿系统常见的恶性肿瘤,其高度异质性的肿瘤免疫微环境对疾病进展、治疗反应和患者预后具有关键影响。传统组织活检的局限性促使人们转向非侵入性、动态且具有空间分辨能力的评估策略。放射组学通过高通量提取医学影像特征,能够对肿瘤宏观表型进行非侵入性定量分析;而空间组学技术,如单细胞转录组学和空间转录组学,则揭示了肿瘤微环境中细胞和分子组分的精细空间结构。本综述系统总结了放射组学和空间组学在表征膀胱癌免疫微环境方面的最新进展,重点阐述二者在阐明免疫细胞空间分布、基质异质性、免疫检查点表达及治疗反应预测中的协同应用。此外,我们批判性地审视了当前在多组学数据整合、模型泛化及临床转化方面所面临的挑战,并展望了人工智能驱动的未来发展方向,包括多模态融合、动态监测和个性化治疗策略。本综述旨在为膀胱癌精准医学提供理论基础和技术展望,推动影像-空间组学从基础研究向临床实践的转化。

Abstract

Bladder cancer, a common malignant tumor of the urinary system, possesses a highly heterogeneous tumor immune microenvironment that critically influences disease progression, treatment response, and patient prognosis. The limitations of traditional tissue biopsies have spurred interest in non-invasive, dynamic, and spatially resolved assessment strategies. Radiomics enables non-invasive quantification of macroscopic tumor phenotypes through high-throughput extraction of medical imaging features, while spatial omics technologies, such as single-cell and spatial transcriptomics, reveal the fine-grained spatial architecture of cellular and molecular components within the tumor microenvironment. This review systematically summarizes recent advances in radiomics and spatial omics for characterizing the bladder cancer immune microenvironment, with a focus on their synergistic applications in elucidating immune cell spatial distribution, stromal heterogeneity, immune checkpoint expression, and therapy response prediction. Furthermore, we critically examine the current challenges in multi-omics data integration, model generalization, and clinical translation, and outline future directions driven by artificial intelligence, including multimodal fusion, dynamic monitoring, and personalized therapeutic strategies. This review aims to provide a theoretical foundation and technical outlook for precision medicine in bladder cancer, facilitating the translation of imaging-spatial omics from basic research to clinical practice.

如何引用

AMA

Yan Dong, Yunwei Su. Perspective on the integration of radiomics and spatial omics in the analysis of the tumor microenvironment of bladder cancer and prospects for precision diagnosis and treatment.. Frontiers in immunology. 2026; doi:10.3389/fimmu.2026.1821743.

APA

Yan Dong, Yunwei Su (2026). Perspective on the integration of radiomics and spatial omics in the analysis of the tumor microenvironment of bladder cancer and prospects for precision diagnosis and treatment.. Frontiers in immunology. https://doi.org/10.3389/fimmu.2026.1821743

GB/T 7714

Yan Dong, Yunwei Su. Perspective on the integration of radiomics and spatial omics in the analysis of the tumor microenvironment of bladder cancer and prospects for precision diagnosis and treatment.[J]. Frontiers in immunology, 2026 doi:10.3389/fimmu.2026.1821743.

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