Baohua Sun, Caddie Laberiano-Fernández, Ruth Salazar-Alejo, Jiexin Zhang, Jose Luis Solorzano Rendon, Jack Lee, Luisa Maren Solis Soto, Ignacio Ivan Wistuba, Edwin Roger Parra
{"title":"使用多重免疫荧光酪胺信号放大技术对石蜡包埋肿瘤组织进行免疫分析时感兴趣区大小的影响","authors":"Baohua Sun, Caddie Laberiano-Fernández, Ruth Salazar-Alejo, Jiexin Zhang, Jose Luis Solorzano Rendon, Jack Lee, Luisa Maren Solis Soto, Ignacio Ivan Wistuba, Edwin Roger Parra","doi":"10.1159/000523751","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Representative regions of interest (ROIs) analysis from the whole slide images (WSI) are currently being used to study immune markers by multiplex immunofluorescence (mIF) and single immunohistochemistry (IHC). However, the amount of area needed to be analyzed to be representative of the entire tumor in a WSI has not been defined.</p><p><strong>Methods: </strong>We labeled tumor-associated immune cells by mIF and single IHC in separate cohorts of non-small cell lung cancer (NSCLC) samples and we analyzed them as whole tumor area as well as using different number of ROIs to know how much area will be need to represent the entire tumor area.</p><p><strong>Results: </strong>For mIF using the InForm software and ROI of 0.33 mm2 each, we observed that the cell density data from five randomly selected ROIs is enough to achieve, in 90% of our samples, more than 0.9 of Spearman correlation coefficient and for single IHC using ScanScope tool box from Aperio and ROIs of 1 mm2 each, we found that the correlation value of more than 0.9 was achieved using 5 ROIs in a similar cohort. Additionally, we also observed that each cell phenotype in mIF influence differently the correlation between the areas analyzed by the ROIs and the WSI. Tumor tissue with high intratumor epithelial and immune cells phenotype, quality, and spatial distribution heterogeneity need more area analyzed to represent better the whole tumor area.</p><p><strong>Conclusion: </strong>We found that at minimum 1.65 mm2 area is enough to represent the entire tumor areas in most of our NSCLC samples using mIF.</p>","PeriodicalId":19805,"journal":{"name":"Pathobiology","volume":"90 1","pages":"1-12"},"PeriodicalIF":3.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684353/pdf/","citationCount":"4","resultStr":"{\"title\":\"Impact of Region-of-Interest Size on Immune Profiling Using Multiplex Immunofluorescence Tyramide Signal Amplification for Paraffin-Embedded Tumor Tissues.\",\"authors\":\"Baohua Sun, Caddie Laberiano-Fernández, Ruth Salazar-Alejo, Jiexin Zhang, Jose Luis Solorzano Rendon, Jack Lee, Luisa Maren Solis Soto, Ignacio Ivan Wistuba, Edwin Roger Parra\",\"doi\":\"10.1159/000523751\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Representative regions of interest (ROIs) analysis from the whole slide images (WSI) are currently being used to study immune markers by multiplex immunofluorescence (mIF) and single immunohistochemistry (IHC). However, the amount of area needed to be analyzed to be representative of the entire tumor in a WSI has not been defined.</p><p><strong>Methods: </strong>We labeled tumor-associated immune cells by mIF and single IHC in separate cohorts of non-small cell lung cancer (NSCLC) samples and we analyzed them as whole tumor area as well as using different number of ROIs to know how much area will be need to represent the entire tumor area.</p><p><strong>Results: </strong>For mIF using the InForm software and ROI of 0.33 mm2 each, we observed that the cell density data from five randomly selected ROIs is enough to achieve, in 90% of our samples, more than 0.9 of Spearman correlation coefficient and for single IHC using ScanScope tool box from Aperio and ROIs of 1 mm2 each, we found that the correlation value of more than 0.9 was achieved using 5 ROIs in a similar cohort. Additionally, we also observed that each cell phenotype in mIF influence differently the correlation between the areas analyzed by the ROIs and the WSI. Tumor tissue with high intratumor epithelial and immune cells phenotype, quality, and spatial distribution heterogeneity need more area analyzed to represent better the whole tumor area.</p><p><strong>Conclusion: </strong>We found that at minimum 1.65 mm2 area is enough to represent the entire tumor areas in most of our NSCLC samples using mIF.</p>\",\"PeriodicalId\":19805,\"journal\":{\"name\":\"Pathobiology\",\"volume\":\"90 1\",\"pages\":\"1-12\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684353/pdf/\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pathobiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1159/000523751\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2022/5/24 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"CELL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pathobiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1159/000523751","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/5/24 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 4
摘要
导言:目前,通过多重免疫荧光(mIF)和单一免疫组化(IHC)对整张切片图像(WSI)中具有代表性的感兴趣区(ROI)进行分析,可用于研究免疫标记物。然而,在 WSI 中代表整个肿瘤所需的分析面积尚未确定:方法:我们在不同的非小细胞肺癌(NSCLC)样本群中分别用 mIF 和单一 IHC 标记了肿瘤相关免疫细胞,并对它们进行了肿瘤整体面积分析,同时使用不同数量的 ROI 进行分析,以了解需要多少面积才能代表整个肿瘤区域:使用 InForm 软件和每个 0.33 平方毫米的 ROI 进行 mIF 分析时,我们发现在 90% 的样本中,随机选择 5 个 ROI 得出的细胞密度数据足以使 Spearman 相关系数达到 0.9 以上;使用 Aperio 公司的 ScanScope 工具箱和每个 1 平方毫米的 ROI 进行单个 IHC 分析时,我们发现在类似的队列中,使用 5 个 ROI 得出的相关系数也能达到 0.9 以上。此外,我们还观察到,mIF 中的每种细胞表型都会对 ROI 分析区域与 WSI 之间的相关性产生不同的影响。瘤内上皮细胞和免疫细胞表型、质量和空间分布异质性较高的肿瘤组织需要更多的分析区域才能更好地代表整个肿瘤区域:我们发现,在大多数 NSCLC 样本中,至少 1.65 平方毫米的面积足以用 mIF 代表整个肿瘤区域。
Impact of Region-of-Interest Size on Immune Profiling Using Multiplex Immunofluorescence Tyramide Signal Amplification for Paraffin-Embedded Tumor Tissues.
Introduction: Representative regions of interest (ROIs) analysis from the whole slide images (WSI) are currently being used to study immune markers by multiplex immunofluorescence (mIF) and single immunohistochemistry (IHC). However, the amount of area needed to be analyzed to be representative of the entire tumor in a WSI has not been defined.
Methods: We labeled tumor-associated immune cells by mIF and single IHC in separate cohorts of non-small cell lung cancer (NSCLC) samples and we analyzed them as whole tumor area as well as using different number of ROIs to know how much area will be need to represent the entire tumor area.
Results: For mIF using the InForm software and ROI of 0.33 mm2 each, we observed that the cell density data from five randomly selected ROIs is enough to achieve, in 90% of our samples, more than 0.9 of Spearman correlation coefficient and for single IHC using ScanScope tool box from Aperio and ROIs of 1 mm2 each, we found that the correlation value of more than 0.9 was achieved using 5 ROIs in a similar cohort. Additionally, we also observed that each cell phenotype in mIF influence differently the correlation between the areas analyzed by the ROIs and the WSI. Tumor tissue with high intratumor epithelial and immune cells phenotype, quality, and spatial distribution heterogeneity need more area analyzed to represent better the whole tumor area.
Conclusion: We found that at minimum 1.65 mm2 area is enough to represent the entire tumor areas in most of our NSCLC samples using mIF.
期刊介绍:
''Pathobiology'' offers a valuable platform for the publication of high-quality original research into the mechanisms underlying human disease. Aiming to serve as a bridge between basic biomedical research and clinical medicine, the journal welcomes articles from scientific areas such as pathology, oncology, anatomy, virology, internal medicine, surgery, cell and molecular biology, and immunology. Published bimonthly, ''Pathobiology'' features original research papers and reviews on translational research. The journal offers the possibility to publish proceedings of meetings dedicated to one particular topic.