Multi-Tissue Controls and Multiplex Immunocytochemistry in Pulmonary Cytology.

IF 1.6 4区医学 Q3 PATHOLOGY

Acta Cytologica Pub Date : 2024-01-01 Epub Date: 2024-07-30 DOI:10.1159/000540367

Antti Vuorisalo, Teppo Haapaniemi, Ivana Kholová

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引用次数: 0

Abstract

Introduction: The World Health Organization 2021 lung cancer classification highlights the central role of immunohistochemistry (IHC) in diagnostic pathology. Despite traditional IHC being essential, its limitation to one marker per tissue section brings challenges, particularly when facing cytological limitedly sized samples. To overcome these challenges, multiplex immunocytochemistry (mICC) techniques offer the simultaneous detection of multiple markers from a single section. These advances complement the highly complex imaging techniques that enable additional analyses of cellular interactions.

Methods: The present study outlines a comprehensive mICC methodology of an automated multiplex immunoperoxidase staining method and multiple tissue hybrid controls for ICC/mICC. Protocols are presented in detail and demonstrate a careful approach to optimizing various markers for diagnostic workup including immunotherapy.

Conclusion: Multiplex IHC/ICC emerges as a transformative force in biomedical diagnostics and research. Beyond simultaneous marker detection, it unravels complexities within tissues - unveiling co-localization nuances, deciphering expression patterns, and enhancing understanding of cellular populations. As personalized treatments gain prominence, the study emphasizes the heightened importance of diagnostic tools and sample adequacy. The present methodological study, encapsulating an automated multiplex immunoperoxidase staining method, symbolizes a stride towards precision in pulmonary carcinoma diagnosis. Multi-tissue controls represent a key element in quality assurance in pathology laboratories.

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肺细胞学中的多组织对照和多重免疫细胞化学。

导言：世界卫生组织 2021 年肺癌分类强调了免疫组化（IHC）在病理诊断中的核心作用。尽管传统的 IHC 非常重要，但它仅限于在每个组织切片上检测一种标记物，这就带来了挑战，尤其是在面对细胞学大小有限的样本时。为了克服这些挑战，多重免疫细胞化学（mICC）技术可从单个切片中同时检测多个标记物。这些进步与高度复杂的成像技术相辅相成，可对细胞相互作用进行更多分析：本研究概述了一种全面的 mICC 方法，包括自动多重免疫过氧化物酶染色方法和用于 ICC/mICC 的多种组织杂交对照。本研究详细介绍了该方法，并展示了优化诊断工作（包括免疫疗法）中各种标记物的细致方法：多重 IHC/ICC 成为生物医学诊断和研究的变革力量。除了同时检测标记物外，它还能揭示组织内的复杂性--揭示共定位的细微差别、解读表达模式并加深对细胞群的了解。随着个性化治疗日益突出，这项研究强调了诊断工具和样本充分性的重要性。本研究采用了一种自动化的多重免疫过氧化物酶染色方法，标志着肺癌诊断向精准化迈进了一步。多组织对照是病理实验室质量保证的关键因素。

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

Acta Cytologica 生物-病理学

CiteScore

3.70

自引率

11.10%

发文量

审稿时长

4-8 weeks

期刊介绍： With articles offering an excellent balance between clinical cytology and cytopathology, ''Acta Cytologica'' fosters the understanding of the pathogenetic mechanisms behind cytomorphology and thus facilitates the translation of frontline research into clinical practice. As the official journal of the International Academy of Cytology and affiliated to over 50 national cytology societies around the world, ''Acta Cytologica'' evaluates new and existing diagnostic applications of scientific advances as well as their clinical correlations. Original papers, review articles, meta-analyses, novel insights from clinical practice, and letters to the editor cover topics from diagnostic cytopathology, gynecologic and non-gynecologic cytopathology to fine needle aspiration, molecular techniques and their diagnostic applications. As the perfect reference for practical use, ''Acta Cytologica'' addresses a multidisciplinary audience practicing clinical cytopathology, cell biology, oncology, interventional radiology, otorhinolaryngology, gastroenterology, urology, pulmonology and preventive medicine.