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CD8+ T cell infiltration in breast and colon cancer: A histologic and statistical analysis
The prevalence of cytotoxic tumor infiltrating lymphocytes (TILs) has demonstrated prognostic value in multiple tumor types. In particular, CD8 counts (in combination with CD3 and CD45RO) have been shown to be superior to traditional UICC staging in colon cancer patients and higher total CD8 counts...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5761898/ https://www.ncbi.nlm.nih.gov/pubmed/29320521 http://dx.doi.org/10.1371/journal.pone.0190158 |
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author | Ziai, James Gilbert, Houston N. Foreman, Oded Eastham-Anderson, Jeffrey Chu, Felix Huseni, Mahrukh Kim, Jeong M. |
author_facet | Ziai, James Gilbert, Houston N. Foreman, Oded Eastham-Anderson, Jeffrey Chu, Felix Huseni, Mahrukh Kim, Jeong M. |
author_sort | Ziai, James |
collection | PubMed |
description | The prevalence of cytotoxic tumor infiltrating lymphocytes (TILs) has demonstrated prognostic value in multiple tumor types. In particular, CD8 counts (in combination with CD3 and CD45RO) have been shown to be superior to traditional UICC staging in colon cancer patients and higher total CD8 counts have been associated with better survival in breast cancer patients. However, immune infiltrate heterogeneity can lead to potentially significant misrepresentations of marker prevalence in routine histologic sections. We examined step sections of breast and colorectal cancer samples for CD8+ T cell prevalence by standard chromogenic immunohistochemistry to determine marker variability and inform practice of T cell biomarker assessment in formalin-fixed, paraffin-embedded (FFPE) tissue samples. Stained sections were digitally imaged and CD8+ lymphocytes within defined regions of interest (ROI) including the tumor and surrounding stroma were enumerated. Statistical analyses of CD8+ cell count variability using a linear model/ANOVA framework between patients as well as between levels within a patient sample were performed. Our results show that CD8+ T-cell distribution is highly homogeneous within a standard tissue sample in both colorectal and breast carcinomas. As such, cytotoxic T cell prevalence by immunohistochemistry on a single level or even from a subsample of biopsy fragments taken from that level can be considered representative of cytotoxic T cell infiltration for the entire tumor section within the block. These findings support the technical validity of biomarker strategies relying on CD8 immunohistochemistry. |
format | Online Article Text |
id | pubmed-5761898 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-57618982018-01-23 CD8+ T cell infiltration in breast and colon cancer: A histologic and statistical analysis Ziai, James Gilbert, Houston N. Foreman, Oded Eastham-Anderson, Jeffrey Chu, Felix Huseni, Mahrukh Kim, Jeong M. PLoS One Research Article The prevalence of cytotoxic tumor infiltrating lymphocytes (TILs) has demonstrated prognostic value in multiple tumor types. In particular, CD8 counts (in combination with CD3 and CD45RO) have been shown to be superior to traditional UICC staging in colon cancer patients and higher total CD8 counts have been associated with better survival in breast cancer patients. However, immune infiltrate heterogeneity can lead to potentially significant misrepresentations of marker prevalence in routine histologic sections. We examined step sections of breast and colorectal cancer samples for CD8+ T cell prevalence by standard chromogenic immunohistochemistry to determine marker variability and inform practice of T cell biomarker assessment in formalin-fixed, paraffin-embedded (FFPE) tissue samples. Stained sections were digitally imaged and CD8+ lymphocytes within defined regions of interest (ROI) including the tumor and surrounding stroma were enumerated. Statistical analyses of CD8+ cell count variability using a linear model/ANOVA framework between patients as well as between levels within a patient sample were performed. Our results show that CD8+ T-cell distribution is highly homogeneous within a standard tissue sample in both colorectal and breast carcinomas. As such, cytotoxic T cell prevalence by immunohistochemistry on a single level or even from a subsample of biopsy fragments taken from that level can be considered representative of cytotoxic T cell infiltration for the entire tumor section within the block. These findings support the technical validity of biomarker strategies relying on CD8 immunohistochemistry. Public Library of Science 2018-01-10 /pmc/articles/PMC5761898/ /pubmed/29320521 http://dx.doi.org/10.1371/journal.pone.0190158 Text en © 2018 Ziai et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Ziai, James Gilbert, Houston N. Foreman, Oded Eastham-Anderson, Jeffrey Chu, Felix Huseni, Mahrukh Kim, Jeong M. CD8+ T cell infiltration in breast and colon cancer: A histologic and statistical analysis |
title | CD8+ T cell infiltration in breast and colon cancer: A histologic and statistical analysis |
title_full | CD8+ T cell infiltration in breast and colon cancer: A histologic and statistical analysis |
title_fullStr | CD8+ T cell infiltration in breast and colon cancer: A histologic and statistical analysis |
title_full_unstemmed | CD8+ T cell infiltration in breast and colon cancer: A histologic and statistical analysis |
title_short | CD8+ T cell infiltration in breast and colon cancer: A histologic and statistical analysis |
title_sort | cd8+ t cell infiltration in breast and colon cancer: a histologic and statistical analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5761898/ https://www.ncbi.nlm.nih.gov/pubmed/29320521 http://dx.doi.org/10.1371/journal.pone.0190158 |
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