病理学家的数字空间剖析。

IF 3.4 3区 医学 Q1 PATHOLOGY Virchows Archiv Pub Date : 2024-11-05 DOI:10.1007/s00428-024-03955-w
Benedetta Donati, Gloria Manzotti, Federica Torricelli, Cristian Ascione, Riccardo Valli, Giacomo Santandrea, Moira Ragazzi, Eleonora Zanetti, Alessia Ciarrocchi, Simonetta Piana
{"title":"病理学家的数字空间剖析。","authors":"Benedetta Donati, Gloria Manzotti, Federica Torricelli, Cristian Ascione, Riccardo Valli, Giacomo Santandrea, Moira Ragazzi, Eleonora Zanetti, Alessia Ciarrocchi, Simonetta Piana","doi":"10.1007/s00428-024-03955-w","DOIUrl":null,"url":null,"abstract":"<p><p>The advent of \"omics\" technologies for high-depth tumor profiling has provided new information regarding cancer heterogeneity. However, a bulk omics profile can only partially reproduce tumor complexity, and it does not meet the preferences of pathologists used to perform an in situ assessment of marker expression, for instance, with immunohistochemistry. The NanoString GeoMx® Digital Spatial Profiler (DSP) is a platform for morphology-guided multiplex profiling of tissue slides, which allows the digital quantification of target analytes in different neoplastic settings. To illustrate the feasibility and opportunities offered by DSP from a pathologist's perspective, we applied DSP in three different representative neoplastic settings: breast carcinoma, thyroid anaplastic carcinoma, and biphasic mesothelioma. Because of the perfect overlap between the hematoxylin-eosin-stained slide and the GeoMx areas of interest, in breast carcinoma, two different antibodies allowed the distinction of the tumor cells from the surrounding tumor microenvironment. In biphasic mesothelioma, we could distinguish the epithelioid from the sarcomatoid neoplastic component, and in the thyroid, we easily separated the anaplastic areas from the well-differentiated carcinoma. DSP is a promising tool that combines traditional histological evaluation, allowing spatial assessment of a tumor and its surroundings, and innovative in situ digital profiling. Pathologists should not miss the opportunity to combine morphological and genomic analyses and be at the forefront of investigating the progression of dysplasia/neoplasia, low-grade or high-grade, epithelial/mesenchymal, and, more in general, overcoming the concept of in situ vs. bulk genomic methods.</p>","PeriodicalId":23514,"journal":{"name":"Virchows Archiv","volume":" ","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Digital spatial profiling for pathologists.\",\"authors\":\"Benedetta Donati, Gloria Manzotti, Federica Torricelli, Cristian Ascione, Riccardo Valli, Giacomo Santandrea, Moira Ragazzi, Eleonora Zanetti, Alessia Ciarrocchi, Simonetta Piana\",\"doi\":\"10.1007/s00428-024-03955-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The advent of \\\"omics\\\" technologies for high-depth tumor profiling has provided new information regarding cancer heterogeneity. However, a bulk omics profile can only partially reproduce tumor complexity, and it does not meet the preferences of pathologists used to perform an in situ assessment of marker expression, for instance, with immunohistochemistry. The NanoString GeoMx® Digital Spatial Profiler (DSP) is a platform for morphology-guided multiplex profiling of tissue slides, which allows the digital quantification of target analytes in different neoplastic settings. To illustrate the feasibility and opportunities offered by DSP from a pathologist's perspective, we applied DSP in three different representative neoplastic settings: breast carcinoma, thyroid anaplastic carcinoma, and biphasic mesothelioma. Because of the perfect overlap between the hematoxylin-eosin-stained slide and the GeoMx areas of interest, in breast carcinoma, two different antibodies allowed the distinction of the tumor cells from the surrounding tumor microenvironment. In biphasic mesothelioma, we could distinguish the epithelioid from the sarcomatoid neoplastic component, and in the thyroid, we easily separated the anaplastic areas from the well-differentiated carcinoma. DSP is a promising tool that combines traditional histological evaluation, allowing spatial assessment of a tumor and its surroundings, and innovative in situ digital profiling. Pathologists should not miss the opportunity to combine morphological and genomic analyses and be at the forefront of investigating the progression of dysplasia/neoplasia, low-grade or high-grade, epithelial/mesenchymal, and, more in general, overcoming the concept of in situ vs. bulk genomic methods.</p>\",\"PeriodicalId\":23514,\"journal\":{\"name\":\"Virchows Archiv\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2024-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Virchows Archiv\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s00428-024-03955-w\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PATHOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Virchows Archiv","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00428-024-03955-w","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PATHOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

用于高深度肿瘤特征描述的 "全息 "技术的出现为癌症的异质性提供了新的信息。然而,大体量的全息图只能部分再现肿瘤的复杂性,无法满足病理学家对标记物表达进行原位评估(如免疫组化)的偏好。NanoString GeoMx® Digital Spatial Profiler (DSP) 是一个以形态学为指导的组织切片多重分析平台,可对不同肿瘤环境中的目标分析物进行数字量化。为了从病理学家的角度说明 DSP 的可行性和提供的机会,我们将 DSP 应用于三种不同的代表性肿瘤环境:乳腺癌、甲状腺无性细胞癌和双相间皮瘤。由于苏木精-伊红染色载玻片与 GeoMx 感兴趣区域完全重叠,在乳腺癌中,两种不同的抗体可以将肿瘤细胞与周围的肿瘤微环境区分开来。在双相间皮瘤中,我们可以区分上皮样和肉瘤样肿瘤成分;在甲状腺癌中,我们很容易将无细胞区域和分化良好的癌细胞区分开来。DSP 是一种很有前途的工具,它结合了传统的组织学评估(可对肿瘤及其周围环境进行空间评估)和创新的原位数字剖析。病理学家不应错过将形态学分析与基因组分析相结合的机会,并应站在研究发育不良/新生物、低级别或高级别、上皮/间质进展的最前沿,更广泛地说,应克服原位与批量基因组方法的概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Digital spatial profiling for pathologists.

The advent of "omics" technologies for high-depth tumor profiling has provided new information regarding cancer heterogeneity. However, a bulk omics profile can only partially reproduce tumor complexity, and it does not meet the preferences of pathologists used to perform an in situ assessment of marker expression, for instance, with immunohistochemistry. The NanoString GeoMx® Digital Spatial Profiler (DSP) is a platform for morphology-guided multiplex profiling of tissue slides, which allows the digital quantification of target analytes in different neoplastic settings. To illustrate the feasibility and opportunities offered by DSP from a pathologist's perspective, we applied DSP in three different representative neoplastic settings: breast carcinoma, thyroid anaplastic carcinoma, and biphasic mesothelioma. Because of the perfect overlap between the hematoxylin-eosin-stained slide and the GeoMx areas of interest, in breast carcinoma, two different antibodies allowed the distinction of the tumor cells from the surrounding tumor microenvironment. In biphasic mesothelioma, we could distinguish the epithelioid from the sarcomatoid neoplastic component, and in the thyroid, we easily separated the anaplastic areas from the well-differentiated carcinoma. DSP is a promising tool that combines traditional histological evaluation, allowing spatial assessment of a tumor and its surroundings, and innovative in situ digital profiling. Pathologists should not miss the opportunity to combine morphological and genomic analyses and be at the forefront of investigating the progression of dysplasia/neoplasia, low-grade or high-grade, epithelial/mesenchymal, and, more in general, overcoming the concept of in situ vs. bulk genomic methods.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Virchows Archiv
Virchows Archiv 医学-病理学
CiteScore
7.40
自引率
2.90%
发文量
204
审稿时长
4-8 weeks
期刊介绍: Manuscripts of original studies reinforcing the evidence base of modern diagnostic pathology, using immunocytochemical, molecular and ultrastructural techniques, will be welcomed. In addition, papers on critical evaluation of diagnostic criteria but also broadsheets and guidelines with a solid evidence base will be considered. Consideration will also be given to reports of work in other fields relevant to the understanding of human pathology as well as manuscripts on the application of new methods and techniques in pathology. Submission of purely experimental articles is discouraged but manuscripts on experimental work applicable to diagnostic pathology are welcomed. Biomarker studies are welcomed but need to abide by strict rules (e.g. REMARK) of adequate sample size and relevant marker choice. Single marker studies on limited patient series without validated application will as a rule not be considered. Case reports will only be considered when they provide substantial new information with an impact on understanding disease or diagnostic practice.
期刊最新文献
Heterogeneity of pancreatic neoplasms arising in pancreatic heterotopia: a single institution review. Massive parallel sequencing of head and neck conventional squamous cell carcinomas: A comprehensive review. A molecular and immunohistochemical study of 37 cases of ovarian Sertoli-Leydig cell tumor. Expanding horizons in a new era for pathology: perspectives from the ASCO meeting. Low CXCL11 expression is indicative of poor prognosis in rectal cancer patients undergoing preoperative chemoradiotherapy: a retrospective cohort study.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1