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[数字化与多重免疫组化作为新型免疫疗法的预测生物标志物:免疫组化面临的新挑战]

[Digitalization and multiplex IHC as predictive biomarkers for novel immune-therapeutics : New challenges for immunohistochemistry].

作者信息

Zielinski D

机构信息

Targos Molecular Pathology GmbH, Germaniastraße 7, 34119, Kassel, Deutschland.

出版信息

Pathologe. 2019 May;40(3):256-263. doi: 10.1007/s00292-019-0607-2.

Abstract

Molecular biology assays, for example next-generation sequencing, whole-exosome sequencing, and RNAseq, are well-established tools in precision oncology. Novel therapeutic concepts like bi- or multivalent antibodies may require different diagnostic approaches. In this context, multiplexed immunohistochemistry (IHC) in combination with digital image analysis offers a wide range of application possibilities.Many therapeutics currently tested in early clinical phases or preclinical development aim at the modulation of the immune response to the tumor. The respective diagnostic procedures have to address questions, e.g. regarding the spatial relationship of target and effector cells or the presence and ratio of certain cell subpopulations. These questions are also increasingly raised by the more classical therapeutics, such as monoclonal antibodies or antibody-drug conjugates.While it is hard to identify the same or adjacent cells in serial sections, multiplexed IHC assays combine oligoparametric analysis and cellular context. Establishment and validation of such assays is more complex than for common single-plex procedures with regard to specificity, accuracy and precision. Digital image analysis algorithms as an emerging tool for standardized evaluation of (multiplexed) IHC assays need to be set up in parallel with the wet lab procedures.This article focusses on the potential new role for multiplexed in situ assays in a yet-to-be-established precision pathology as a discipline of precision oncology.

摘要

分子生物学检测,如下一代测序、全外泌体测序和RNA测序,是精准肿瘤学中成熟的工具。双特异性或多特异性抗体等新型治疗概念可能需要不同的诊断方法。在这种背景下,多重免疫组织化学(IHC)结合数字图像分析提供了广泛的应用可能性。目前许多处于临床早期阶段或临床前开发阶段的治疗方法旨在调节对肿瘤的免疫反应。相应的诊断程序必须解决一些问题,例如关于靶细胞和效应细胞的空间关系或某些细胞亚群的存在及比例。这些问题在更传统的治疗方法中也越来越多地被提出,如单克隆抗体或抗体药物偶联物。虽然在连续切片中很难识别相同或相邻的细胞,但多重IHC检测结合了寡参数分析和细胞背景。就特异性、准确性和精密度而言,此类检测的建立和验证比常见的单重检测程序更为复杂。数字图像分析算法作为一种用于(多重)IHC检测标准化评估的新兴工具,需要与湿实验室程序并行建立。本文重点关注多重原位检测在作为精准肿瘤学一门学科的尚未建立的精准病理学中的潜在新作用。

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