Moving Beyond Morphology to Multiplexed Molecular Imaging as the Next Frontier in Diagnostic Pathology

IF 4.9 2区 医学 Q1 PATHOLOGY
American Journal of Pathology Pub Date : 2026-07-01 Epub Date: 2026-04-30 DOI:10.1016/j.ajpath.2026.03.015
Andréanne Gagné, Jia-Ren Lin
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引用次数: 0

Abstract

Diagnostic pathology has long relied on the morphologic interpretation of hematoxylin and eosin–stained tissues to guide diagnosis and assess prognostic features. Although pathologists intuitively recognize spatial patterns and architectural organization, these assessments remain largely qualitative and difficult to quantify systematically. Immunohistochemistry and immunofluorescence have introduced molecular specificity but are limited in multiplexing capacity, whereas bulk genomic and transcriptomic assays provide high molecular depth but lose spatial context by averaging signals across heterogeneous cell populations. Recent advances in spatial proteomics—including mass spectrometry–based imaging and cyclic immunofluorescence—now enable multiplexed, single-cell protein analysis within intact tissue architecture. These technologies have revealed complex immune and stromal microenvironments, spatially organized biomarkers predictive of therapeutic response, and molecular gradients underlying disease progression. By integrating histologic and molecular information, spatial proteomics bridges traditional microscopy with high-dimensional omics, allowing quantitative, spatially resolved insights into tissue organization and disease mechanisms. This review summarizes recent developments in multiplexed spatial proteomics from both scientific and pathologic perspectives, highlighting how these technologies extend beyond morphology to quantify histologic patterns, refine biomarker discovery, and facilitate clinical translation. The review also examines translational challenges and barriers to clinical implementation, including costs, standardization requirements, and workflow integration.
超越形态学到多路分子成像作为诊断病理学的下一个前沿。
诊断病理学长期依赖苏木精和伊红(H&E)染色组织的形态学解释来指导诊断和评估预后特征。虽然病理学家直观地认识到空间模式和建筑组织,但这些评估在很大程度上仍然是定性的,难以系统地量化。免疫组织化学和免疫荧光已经引入了分子特异性,但在多路复用能力方面受到限制,而大量基因组学和转录组学分析提供了高分子深度,但由于在异质细胞群中平均信号而失去了空间背景。空间蛋白质组学的最新进展——包括基于质谱的成像和循环免疫荧光——现在可以在完整的组织结构中进行多路复用、单细胞蛋白质分析。这些技术揭示了复杂的免疫和基质微环境,预测治疗反应的空间组织生物标志物,以及潜在疾病进展的分子梯度。通过整合组织学和分子信息,空间蛋白质组学将传统显微镜与高维组学连接起来,允许对组织组织和疾病机制进行定量、空间解析的见解。本文从科学和病理学的角度总结了多重空间蛋白质组学的最新进展,强调了这些技术如何超越形态学,量化组织模式,改进生物标志物的发现,并促进临床翻译。该综述还研究了临床实施的翻译挑战和障碍,包括成本、标准化要求和工作流程集成。
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
CiteScore
11.40
自引率
0.00%
发文量
178
审稿时长
30 days
期刊介绍: The American Journal of Pathology, official journal of the American Society for Investigative Pathology, published by Elsevier, Inc., seeks high-quality original research reports, reviews, and commentaries related to the molecular and cellular basis of disease. The editors will consider basic, translational, and clinical investigations that directly address mechanisms of pathogenesis or provide a foundation for future mechanistic inquiries. Examples of such foundational investigations include data mining, identification of biomarkers, molecular pathology, and discovery research. Foundational studies that incorporate deep learning and artificial intelligence are also welcome. High priority is given to studies of human disease and relevant experimental models using molecular, cellular, and organismal approaches.
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