The adaptive immune and immune checkpoint landscape of neoadjuvant treated esophageal adenocarcinoma using digital pathology quantitation

Abstract Background Limited studies examine the immune landscape in Esophageal Adenocarcinoma (EAC). We aim to identify novel associations, which may inform immunotherapy treatment stratification. Methods Three hundred twenty-nine EAC cases were available in Tissue Microarrays (TMA) format. A discov...

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Main Authors: Matthew P. Humphries, Stephanie G. Craig, Rafal Kacprzyk, Natalie C. Fisher, Victoria Bingham, Stephen McQuaid, Graeme I. Murray, Damian McManus, Richard C. Turkington, Jacqueline James, Manuel Salto-Tellez
Format: Article
Language:English
Published: BMC 2020-06-01
Series:BMC Cancer
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12885-020-06987-y
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spelling doaj-835b6b88f74b4c999fdf8a0998cc6c0a2020-11-25T03:31:23ZengBMCBMC Cancer1471-24072020-06-0120111110.1186/s12885-020-06987-yThe adaptive immune and immune checkpoint landscape of neoadjuvant treated esophageal adenocarcinoma using digital pathology quantitationMatthew P. Humphries0Stephanie G. Craig1Rafal Kacprzyk2Natalie C. Fisher3Victoria Bingham4Stephen McQuaid5Graeme I. Murray6Damian McManus7Richard C. Turkington8Jacqueline James9Manuel Salto-Tellez10Precision Medicine Centre of Excellence, Patrick G Johnston Centre for Cancer Research, Queen’s UniversityPrecision Medicine Centre of Excellence, Patrick G Johnston Centre for Cancer Research, Queen’s UniversityPrecision Medicine Centre of Excellence, Patrick G Johnston Centre for Cancer Research, Queen’s UniversityPrecision Medicine Centre of Excellence, Patrick G Johnston Centre for Cancer Research, Queen’s UniversityPrecision Medicine Centre of Excellence, Patrick G Johnston Centre for Cancer Research, Queen’s UniversityPrecision Medicine Centre of Excellence, Patrick G Johnston Centre for Cancer Research, Queen’s UniversityPathology, School of Medicine, Medical Sciences and Nutrition, University of AberdeenCellular Pathology, Belfast Health and Social Care Trust, Belfast City HospitalPatrick G Johnston Centre for Cancer Research, Queen’s UniversityPrecision Medicine Centre of Excellence, Patrick G Johnston Centre for Cancer Research, Queen’s UniversityPrecision Medicine Centre of Excellence, Patrick G Johnston Centre for Cancer Research, Queen’s UniversityAbstract Background Limited studies examine the immune landscape in Esophageal Adenocarcinoma (EAC). We aim to identify novel associations, which may inform immunotherapy treatment stratification. Methods Three hundred twenty-nine EAC cases were available in Tissue Microarrays (TMA) format. A discovery cohort of 166 EAC cases were stained immunohistochemically for range of adaptive immune (CD3, CD4, CD8 and CD45RO) and immune checkpoint biomarkers (ICOS, IDO-1, PD-L1, PD-1). A validation cohort of 163 EAC cases was also accessed. A digital pathology analysis approach was used to quantify biomarker density. Results CD3, CD4, CD8, CD45RO, ICOS and PD-1 were individually predictive of better overall survival (OS) (Log rank p = < 0.001; p = 0.014; p = 0.001; p = < 0.001; p = 0.008 and p = 0.026 respectively). Correlation and multivariate analysis identified high CD45RO/ICOS patients with significantly improved OS which was independently prognostic (HR = 0.445, (0.223–0.886), p = 0.021). Assessment of CD45RO and ICOS high cases in the validation cohort revealed an associated with improved OS (HR = 0.601 (0.363–0.996), p = 0.048). Multiplex IHC identified cellular co-expression of high CD45RO/ICOS. High CD45RO/ICOS patients have significantly improved OS. Conclusions Multiplexing identifies true cellular co-expression. These data demonstrate that co-expression of immune biomarkers are associated with better outcome in EAC and may provide evidence for immunotherapy treatment stratification.http://link.springer.com/article/10.1186/s12885-020-06987-yEsophageal adenocarcinomaImmune checkpointMultiplex IHCImage analysis
collection DOAJ
language English
format Article
sources DOAJ
author Matthew P. Humphries
Stephanie G. Craig
Rafal Kacprzyk
Natalie C. Fisher
Victoria Bingham
Stephen McQuaid
Graeme I. Murray
Damian McManus
Richard C. Turkington
Jacqueline James
Manuel Salto-Tellez
spellingShingle Matthew P. Humphries
Stephanie G. Craig
Rafal Kacprzyk
Natalie C. Fisher
Victoria Bingham
Stephen McQuaid
Graeme I. Murray
Damian McManus
Richard C. Turkington
Jacqueline James
Manuel Salto-Tellez
The adaptive immune and immune checkpoint landscape of neoadjuvant treated esophageal adenocarcinoma using digital pathology quantitation
BMC Cancer
Esophageal adenocarcinoma
Immune checkpoint
Multiplex IHC
Image analysis
author_facet Matthew P. Humphries
Stephanie G. Craig
Rafal Kacprzyk
Natalie C. Fisher
Victoria Bingham
Stephen McQuaid
Graeme I. Murray
Damian McManus
Richard C. Turkington
Jacqueline James
Manuel Salto-Tellez
author_sort Matthew P. Humphries
title The adaptive immune and immune checkpoint landscape of neoadjuvant treated esophageal adenocarcinoma using digital pathology quantitation
title_short The adaptive immune and immune checkpoint landscape of neoadjuvant treated esophageal adenocarcinoma using digital pathology quantitation
title_full The adaptive immune and immune checkpoint landscape of neoadjuvant treated esophageal adenocarcinoma using digital pathology quantitation
title_fullStr The adaptive immune and immune checkpoint landscape of neoadjuvant treated esophageal adenocarcinoma using digital pathology quantitation
title_full_unstemmed The adaptive immune and immune checkpoint landscape of neoadjuvant treated esophageal adenocarcinoma using digital pathology quantitation
title_sort adaptive immune and immune checkpoint landscape of neoadjuvant treated esophageal adenocarcinoma using digital pathology quantitation
publisher BMC
series BMC Cancer
issn 1471-2407
publishDate 2020-06-01
description Abstract Background Limited studies examine the immune landscape in Esophageal Adenocarcinoma (EAC). We aim to identify novel associations, which may inform immunotherapy treatment stratification. Methods Three hundred twenty-nine EAC cases were available in Tissue Microarrays (TMA) format. A discovery cohort of 166 EAC cases were stained immunohistochemically for range of adaptive immune (CD3, CD4, CD8 and CD45RO) and immune checkpoint biomarkers (ICOS, IDO-1, PD-L1, PD-1). A validation cohort of 163 EAC cases was also accessed. A digital pathology analysis approach was used to quantify biomarker density. Results CD3, CD4, CD8, CD45RO, ICOS and PD-1 were individually predictive of better overall survival (OS) (Log rank p = < 0.001; p = 0.014; p = 0.001; p = < 0.001; p = 0.008 and p = 0.026 respectively). Correlation and multivariate analysis identified high CD45RO/ICOS patients with significantly improved OS which was independently prognostic (HR = 0.445, (0.223–0.886), p = 0.021). Assessment of CD45RO and ICOS high cases in the validation cohort revealed an associated with improved OS (HR = 0.601 (0.363–0.996), p = 0.048). Multiplex IHC identified cellular co-expression of high CD45RO/ICOS. High CD45RO/ICOS patients have significantly improved OS. Conclusions Multiplexing identifies true cellular co-expression. These data demonstrate that co-expression of immune biomarkers are associated with better outcome in EAC and may provide evidence for immunotherapy treatment stratification.
topic Esophageal adenocarcinoma
Immune checkpoint
Multiplex IHC
Image analysis
url http://link.springer.com/article/10.1186/s12885-020-06987-y
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