High-multiplex tissue imaging in routine pathology-are we there yet?
High-multiplex tissue imaging in routine pathology-are we there yet?
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DOI：
10.1007/s00428-023-03509-6
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发表时间：
2023-05
期刊：
影响因子：
3.5
通讯作者：
Schuerch, Christian M.
中科院分区：
文献类型：
--
作者：
Einhaus, Jakob;Rochwarger, Alexander;Mattern, Sven;Gaudilliere, Brice;Schuerch, Christian M.
高度多重组织成像（HMTI）方法包括几种新的免疫组织学方法，能够进行深入的空间单细胞分析。近年来，在肿瘤生物学、感染性疾病和自身免疫性疾病中的研究已经证明了在用HMTI映射复杂组织时可获得的信息。肿瘤生物学一直是创新多参数方法的焦点，因为肿瘤微环境（TME）对于准确诊断和靶向治疗方法具有巨大的信息价值：使用用于空间分析的复杂计算工具揭示TME的细胞组成和结构组织已经产生了乳腺癌结果的组织病理学生物标志物，黑色素瘤中阳性免疫治疗反应的预测因子，和结直肠癌的组织学亚组。将HMTI技术整合到现有的临床工作流程中，如分子肿瘤板，将有助于通过针对癌症、自身免疫或感染的特定异质性病理指纹定制的个性化治疗来改善患者结局。在这里，我们回顾了现有HMTI技术的优势和局限性，并概述了空间单细胞数据如何提高我们对病理疾病机制和治疗成功决定因素的理解。我们提供了一个概述的分析处理和解释，并讨论如何HMTI可以改善未来的常规临床诊断和治疗过程。
High-multiplex tissue imaging (HMTI) approaches comprise several novel immunohistological methods that enable in-depth, spatial single-cell analysis. Over recent years, studies in tumor biology, infectious diseases, and autoimmune conditions have demonstrated the information gain accessible when mapping complex tissues with HMTI. Tumor biology has been a focus of innovative multiparametric approaches, as the tumor microenvironment (TME) contains great informative value for accurate diagnosis and targeted therapeutic approaches: unraveling the cellular composition and structural organization of the TME using sophisticated computational tools for spatial analysis has produced histopathologic biomarkers for outcomes in breast cancer, predictors of positive immunotherapy response in melanoma, and histological subgroups of colorectal carcinoma. Integration of HMTI technologies into existing clinical workflows such as molecular tumor boards will contribute to improve patient outcomes through personalized treatments tailored to the specific heterogeneous pathological fingerprint of cancer, autoimmunity, or infection. Here, we review the advantages and limitations of existing HMTI technologies and outline how spatial single-cell data can improve our understanding of pathological disease mechanisms and determinants of treatment success. We provide an overview of the analytic processing and interpretation and discuss how HMTI can improve future routine clinical diagnostic and therapeutic processes.
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影响因子：
64.5
作者：
Goltsev Y;Samusik N;Kennedy-Darling J;Bhate S;Hale M;Vazquez G;Black S;Nolan GP
通讯作者：
Nolan GP
影响因子：
16.6
作者：
Chen C;Zhao Z;Qian N;Wei S;Hu F;Min W
通讯作者：
Min W
影响因子：
9.3
作者：
Bhate, Salil S.;Barlow, Graham L.;Nolan, Garry P.
通讯作者：
Nolan, Garry P.
DOI：
10.1126/science.1198704
发表时间：
2011-05-06
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Bendall SC;Simonds EF;Qiu P;Amir el-AD;Krutzik PO;Finck R;Bruggner RV;Melamed R;Trejo A;Ornatsky OI;Balderas RS;Plevritis SK;Sachs K;Pe'er D;Tanner SD;Nolan GP
通讯作者：
Nolan GP
影响因子：
48
作者：
Giesen, Charlotte;Wang, Hao A. O.;Bodenmiller, Bernd
通讯作者：
Bodenmiller, Bernd