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Biopsy variability of lymphocytic infiltration in breast cancer subtypes and the ImmunoSkew score
The number of tumour biopsies required for a good representation of tumours has been controversial. An important factor to consider is intra-tumour heterogeneity, which can vary among cancer types and subtypes. Immune cells in particular often display complex infiltrative patterns, however, there is...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5095894/ https://www.ncbi.nlm.nih.gov/pubmed/27812028 http://dx.doi.org/10.1038/srep36231 |
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author | Khan, Adnan Mujahid Yuan, Yinyin |
author_facet | Khan, Adnan Mujahid Yuan, Yinyin |
author_sort | Khan, Adnan Mujahid |
collection | PubMed |
description | The number of tumour biopsies required for a good representation of tumours has been controversial. An important factor to consider is intra-tumour heterogeneity, which can vary among cancer types and subtypes. Immune cells in particular often display complex infiltrative patterns, however, there is a lack of quantitative understanding of the spatial heterogeneity of immune cells and how this fundamental biological nature of human tumours influences biopsy variability and treatment resistance. We systematically investigate biopsy variability for the lymphocytic infiltrate in 998 breast tumours using a novel virtual biopsy method. Across all breast cancers, we observe a nonlinear increase in concordance between the biopsy and whole-tumour score of lymphocytic infiltrate with increasing number of biopsies, yet little improvement is gained with more than four biopsies. Interestingly, biopsy variability of lymphocytic infiltrate differs considerably among breast cancer subtypes, with the human epidermal growth factor receptor 2-positive (HER2+) subtype having the highest variability. We subsequently identify a quantitative measure of spatial variability that predicts disease-specific survival in HER2+ subtype independent of standard clinical variables (node status, tumour size and grade). Our study demonstrates how systematic methods provide new insights that can influence future study design based on a quantitative knowledge of tumour heterogeneity. |
format | Online Article Text |
id | pubmed-5095894 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-50958942016-11-10 Biopsy variability of lymphocytic infiltration in breast cancer subtypes and the ImmunoSkew score Khan, Adnan Mujahid Yuan, Yinyin Sci Rep Article The number of tumour biopsies required for a good representation of tumours has been controversial. An important factor to consider is intra-tumour heterogeneity, which can vary among cancer types and subtypes. Immune cells in particular often display complex infiltrative patterns, however, there is a lack of quantitative understanding of the spatial heterogeneity of immune cells and how this fundamental biological nature of human tumours influences biopsy variability and treatment resistance. We systematically investigate biopsy variability for the lymphocytic infiltrate in 998 breast tumours using a novel virtual biopsy method. Across all breast cancers, we observe a nonlinear increase in concordance between the biopsy and whole-tumour score of lymphocytic infiltrate with increasing number of biopsies, yet little improvement is gained with more than four biopsies. Interestingly, biopsy variability of lymphocytic infiltrate differs considerably among breast cancer subtypes, with the human epidermal growth factor receptor 2-positive (HER2+) subtype having the highest variability. We subsequently identify a quantitative measure of spatial variability that predicts disease-specific survival in HER2+ subtype independent of standard clinical variables (node status, tumour size and grade). Our study demonstrates how systematic methods provide new insights that can influence future study design based on a quantitative knowledge of tumour heterogeneity. Nature Publishing Group 2016-11-04 /pmc/articles/PMC5095894/ /pubmed/27812028 http://dx.doi.org/10.1038/srep36231 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Khan, Adnan Mujahid Yuan, Yinyin Biopsy variability of lymphocytic infiltration in breast cancer subtypes and the ImmunoSkew score |
title | Biopsy variability of lymphocytic infiltration in breast cancer subtypes and the ImmunoSkew score |
title_full | Biopsy variability of lymphocytic infiltration in breast cancer subtypes and the ImmunoSkew score |
title_fullStr | Biopsy variability of lymphocytic infiltration in breast cancer subtypes and the ImmunoSkew score |
title_full_unstemmed | Biopsy variability of lymphocytic infiltration in breast cancer subtypes and the ImmunoSkew score |
title_short | Biopsy variability of lymphocytic infiltration in breast cancer subtypes and the ImmunoSkew score |
title_sort | biopsy variability of lymphocytic infiltration in breast cancer subtypes and the immunoskew score |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5095894/ https://www.ncbi.nlm.nih.gov/pubmed/27812028 http://dx.doi.org/10.1038/srep36231 |
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