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Development of a reliable and accurate algorithm to quantify the tumor immune stroma (QTiS) across tumor types
The tumor microenvironment plays an important role in the tumor biology. Overall survival of tumor patients after resection is influenced by tumor-infiltrating lymphocytes (TILs) as a component of the tumor stroma. However, it is not clear how to assess TILs in the tumor stroma due to heterogeneous...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5777743/ https://www.ncbi.nlm.nih.gov/pubmed/29383131 http://dx.doi.org/10.18632/oncotarget.22932 |
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author | Miksch, Rainer Christoph Hao, Jingcheng Schoenberg, Markus Bo Dötzer, Katharina Schlüter, Friederike Weniger, Maximilian Yin, Shuai Ormanns, Steffen D'Haese, Jan Goesta Guba, Markus Otto Werner, Jens Mayer, Barbara Bazhin, Alexandr V. |
author_facet | Miksch, Rainer Christoph Hao, Jingcheng Schoenberg, Markus Bo Dötzer, Katharina Schlüter, Friederike Weniger, Maximilian Yin, Shuai Ormanns, Steffen D'Haese, Jan Goesta Guba, Markus Otto Werner, Jens Mayer, Barbara Bazhin, Alexandr V. |
author_sort | Miksch, Rainer Christoph |
collection | PubMed |
description | The tumor microenvironment plays an important role in the tumor biology. Overall survival of tumor patients after resection is influenced by tumor-infiltrating lymphocytes (TILs) as a component of the tumor stroma. However, it is not clear how to assess TILs in the tumor stroma due to heterogeneous methods in different cancer types. Therefore, we present a novel Quantification of the Tumor immune Stroma (QTiS) Algorithm to reliably and accurately quantify cells in the tumor stroma. Immunohistochemical staining of CD3 and CD8 cells in sections of metastatic colorectal cancer (mCRC), ovarian cancer (OvCa), hepatocellular carcinoma (HCC), and pancreatic ductal adenocarcinoma (PDAC), alltogether N = 80, was performed. Hot spots of infiltrating immune cells are reported in the literature. Reliability of the hot spot identification of TILs was examined by two blinded observers. Accuracy was tested in 1 and 3 hot spots using computed counting methods (ZEN 2 software counting (ZC), ImageJ software with subjective threshold (ISC) and ImageJ with color deconvolution (IAC)) and compared to manual counting. All tumor types investigated showed an accumulation of TILs in the tumor stroma (peri- and intratumoral). Reliability between observers indicated a high level consistency. Accuracy for CD8+/CD3+ ratio and absolute cell count required 1 and 3 hot spots, respectively. ISC was found to be the best for paraffin sections, whereas IAC was ideal for frozen sections. ImageJ software is cost-effective and yielded the best results. In conclusion, an algorithm for quantification of tumoral stroma could be established. With this QTiS Algorithm counting of tumor stromal cells is reliable, accurate, and cost-effective. |
format | Online Article Text |
id | pubmed-5777743 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-57777432018-01-30 Development of a reliable and accurate algorithm to quantify the tumor immune stroma (QTiS) across tumor types Miksch, Rainer Christoph Hao, Jingcheng Schoenberg, Markus Bo Dötzer, Katharina Schlüter, Friederike Weniger, Maximilian Yin, Shuai Ormanns, Steffen D'Haese, Jan Goesta Guba, Markus Otto Werner, Jens Mayer, Barbara Bazhin, Alexandr V. Oncotarget Research Paper The tumor microenvironment plays an important role in the tumor biology. Overall survival of tumor patients after resection is influenced by tumor-infiltrating lymphocytes (TILs) as a component of the tumor stroma. However, it is not clear how to assess TILs in the tumor stroma due to heterogeneous methods in different cancer types. Therefore, we present a novel Quantification of the Tumor immune Stroma (QTiS) Algorithm to reliably and accurately quantify cells in the tumor stroma. Immunohistochemical staining of CD3 and CD8 cells in sections of metastatic colorectal cancer (mCRC), ovarian cancer (OvCa), hepatocellular carcinoma (HCC), and pancreatic ductal adenocarcinoma (PDAC), alltogether N = 80, was performed. Hot spots of infiltrating immune cells are reported in the literature. Reliability of the hot spot identification of TILs was examined by two blinded observers. Accuracy was tested in 1 and 3 hot spots using computed counting methods (ZEN 2 software counting (ZC), ImageJ software with subjective threshold (ISC) and ImageJ with color deconvolution (IAC)) and compared to manual counting. All tumor types investigated showed an accumulation of TILs in the tumor stroma (peri- and intratumoral). Reliability between observers indicated a high level consistency. Accuracy for CD8+/CD3+ ratio and absolute cell count required 1 and 3 hot spots, respectively. ISC was found to be the best for paraffin sections, whereas IAC was ideal for frozen sections. ImageJ software is cost-effective and yielded the best results. In conclusion, an algorithm for quantification of tumoral stroma could be established. With this QTiS Algorithm counting of tumor stromal cells is reliable, accurate, and cost-effective. Impact Journals LLC 2017-12-04 /pmc/articles/PMC5777743/ /pubmed/29383131 http://dx.doi.org/10.18632/oncotarget.22932 Text en Copyright: © 2017 Miksch et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Research Paper Miksch, Rainer Christoph Hao, Jingcheng Schoenberg, Markus Bo Dötzer, Katharina Schlüter, Friederike Weniger, Maximilian Yin, Shuai Ormanns, Steffen D'Haese, Jan Goesta Guba, Markus Otto Werner, Jens Mayer, Barbara Bazhin, Alexandr V. Development of a reliable and accurate algorithm to quantify the tumor immune stroma (QTiS) across tumor types |
title | Development of a reliable and accurate algorithm to quantify the tumor immune stroma (QTiS) across tumor types |
title_full | Development of a reliable and accurate algorithm to quantify the tumor immune stroma (QTiS) across tumor types |
title_fullStr | Development of a reliable and accurate algorithm to quantify the tumor immune stroma (QTiS) across tumor types |
title_full_unstemmed | Development of a reliable and accurate algorithm to quantify the tumor immune stroma (QTiS) across tumor types |
title_short | Development of a reliable and accurate algorithm to quantify the tumor immune stroma (QTiS) across tumor types |
title_sort | development of a reliable and accurate algorithm to quantify the tumor immune stroma (qtis) across tumor types |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5777743/ https://www.ncbi.nlm.nih.gov/pubmed/29383131 http://dx.doi.org/10.18632/oncotarget.22932 |
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