Papantonis Argyris, Rogalla Stephan, Dullin Christian, Alves Frauke, Bohnenberger Hanibal
Institut für Pathologie, Fachbereich Thorax- und Molekularpathologie, Universitätsmedizin Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Deutschland.
Abteilung für Gastroenterologie und Hepatologie, Medizinische Fakultät, Stanford University, Stanford, CA, USA.
Pathologie (Heidelb). 2025 May;46(3):156-162. doi: 10.1007/s00292-024-01412-8. Epub 2025 Jan 22.
Pathology, traditionally focused on classification and diagnosis, is continuously evolving through new technologies. Advances in proteomics, epigenetics, tissue staining, and 3D imaging expand the possibilities of classical morphology.
The aim of this study was to investigate how modern technologies can improve diagnostic accuracy and therapy selection and how they can be integrated into pathologic routine diagnostics.
Recent studies in proteomics, epigenetics, multiplex tissue staining, and 3D tissue imaging were analyzed to assess their application and the challenges of clinical implementation.
The analysis shows significant potential for pathologic diagnostics. Proteomics provides a deeper understanding of the molecular architecture of tumors, while epigenetics and 3D genome architecture offer new insights into genetic regulation and tumor heterogeneity. Multiplex tissue staining and 3D tissue imaging improve spatial tissue analysis.
Despite the potential to improve diagnostics, high costs, technical complexity, and lack of standardization hinder integration into clinical practice. Nevertheless, these technologies offer promising approaches for optimizing diagnostics and therapy selection. Research and interdisciplinary collaboration are crucial to successfully integrating these innovations into routine clinical practice.
病理学传统上专注于分类和诊断，正通过新技术不断发展。蛋白质组学、表观遗传学、组织染色和三维成像技术的进步拓展了经典形态学的可能性。
本研究旨在探讨现代技术如何提高诊断准确性和治疗选择，以及如何将它们整合到病理常规诊断中。
分析蛋白质组学、表观遗传学、多重组织染色和三维组织成像方面的最新研究，以评估其应用及临床实施的挑战。
分析表明病理诊断具有巨大潜力。蛋白质组学能更深入了解肿瘤的分子结构，而表观遗传学和三维基因组结构为基因调控和肿瘤异质性提供了新见解。多重组织染色和三维组织成像改善了空间组织分析。
尽管有改善诊断的潜力，但高成本、技术复杂性和缺乏标准化阻碍了其融入临床实践。然而，这些技术为优化诊断和治疗选择提供了有前景的方法。研究和跨学科合作对于将这些创新成功整合到常规临床实践中至关重要。
