Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Khan, Adnan Mujahid, Yuan, Yinyin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
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
_version_ 1782465371805057024
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
work_keys_str_mv AT khanadnanmujahid biopsyvariabilityoflymphocyticinfiltrationinbreastcancersubtypesandtheimmunoskewscore
AT yuanyinyin biopsyvariabilityoflymphocyticinfiltrationinbreastcancersubtypesandtheimmunoskewscore