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The Association between Blood Indexes and Immune Cell Concentrations in the Primary Tumor Microenvironment Predicting Survival of Immunotherapy in Gastric Cancer

SIMPLE SUMMARY: Due to the complexity of the immune response, no single biomarker is available for adequate patient stratification in the context of gastric cancer (GC). In this study, we used multiplexed immunohistochemistry combined with digital image analysis to uncover the immune cell features i...

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Autores principales: Yuan, Jiajia, Zhao, Xingwang, Li, Yanyan, Yao, Qian, Jiang, Lei, Feng, Xujiao, Shen, Lin, Li, Yilin, Chen, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9332606/
https://www.ncbi.nlm.nih.gov/pubmed/35892867
http://dx.doi.org/10.3390/cancers14153608
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author Yuan, Jiajia
Zhao, Xingwang
Li, Yanyan
Yao, Qian
Jiang, Lei
Feng, Xujiao
Shen, Lin
Li, Yilin
Chen, Yang
author_facet Yuan, Jiajia
Zhao, Xingwang
Li, Yanyan
Yao, Qian
Jiang, Lei
Feng, Xujiao
Shen, Lin
Li, Yilin
Chen, Yang
author_sort Yuan, Jiajia
collection PubMed
description SIMPLE SUMMARY: Due to the complexity of the immune response, no single biomarker is available for adequate patient stratification in the context of gastric cancer (GC). In this study, we used multiplexed immunohistochemistry combined with digital image analysis to uncover the immune cell features in 80 patients with GC. Furthermore, we analyzed the association of blood indexes with the primary gastric cancer immune microenvironment. Then, we validated the predicted value of the blood index in a larger GC cohort (n = 357) receiving anti-PD-1/PD-L1 immunotherapy. Importantly, this approach allowed us to map rare cell types with complex phenotypes, characterize the PD-1 and PD-L1 expression intensity in situ, and assess the biomarker value of these parameters and their associations with the blood index. Our data suggest that blood indexes, associated with primary tumor microenvironment, can be used to predict the immune related prognosis in GC. ABSTRACT: The tumor microenvironment plays a vital role in tumor progression and treatment response. However, the association between immune cell concentrations in primary tumor and blood indexes remains unknown. Thus, we enrolled patients with gastric cancer (GC) in two cohorts. We used multiplexed immunohistochemistry to quantify in situ proteins covering rare cell types at sub-cellular resolution in 80 patients with GC in the first cohort. A high correlation between the LMR (lymphocyte-to-monocyte ratio)/NLR (neutrophil-to-lymphocyte ratio) and tumor immune microenvironment was found. The density of exhausted CD8 T cells including CD8(+)PD1(−)TIM3(+), CD8(+)LAG3(+)PD1(+), CD8(+)LAG3(+)PD1(−), CD8(+)LAG3(+)PD1(+)TIM3(−) was negatively associated with LMR and positively associated with NLR (p < 0.05). Additionally, the higher density of macrophages in tumor core was associated with a higher platelet-to-lymphocyte ratio and systemic immune-inflammation index. Furthermore, we validated the prognostic value of LMR and NLR in an independent cohort of 357 gastric cancer patients receiving immunotherapy. Higher LMR at baseline was significantly associated with superior immune-related PFS (irPFS) and a trend of superior immune-related OS (irOS). Higher NLR was associated with inferior irOS. In conclusion, blood indexes were associated with immune cells infiltrating in primary tumors of GC. NLR and LMR are associated with the density of exhausted CD8(+) T immune cells, which leads to prognostic values of immunotherapy.
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spelling pubmed-93326062022-07-29 The Association between Blood Indexes and Immune Cell Concentrations in the Primary Tumor Microenvironment Predicting Survival of Immunotherapy in Gastric Cancer Yuan, Jiajia Zhao, Xingwang Li, Yanyan Yao, Qian Jiang, Lei Feng, Xujiao Shen, Lin Li, Yilin Chen, Yang Cancers (Basel) Article SIMPLE SUMMARY: Due to the complexity of the immune response, no single biomarker is available for adequate patient stratification in the context of gastric cancer (GC). In this study, we used multiplexed immunohistochemistry combined with digital image analysis to uncover the immune cell features in 80 patients with GC. Furthermore, we analyzed the association of blood indexes with the primary gastric cancer immune microenvironment. Then, we validated the predicted value of the blood index in a larger GC cohort (n = 357) receiving anti-PD-1/PD-L1 immunotherapy. Importantly, this approach allowed us to map rare cell types with complex phenotypes, characterize the PD-1 and PD-L1 expression intensity in situ, and assess the biomarker value of these parameters and their associations with the blood index. Our data suggest that blood indexes, associated with primary tumor microenvironment, can be used to predict the immune related prognosis in GC. ABSTRACT: The tumor microenvironment plays a vital role in tumor progression and treatment response. However, the association between immune cell concentrations in primary tumor and blood indexes remains unknown. Thus, we enrolled patients with gastric cancer (GC) in two cohorts. We used multiplexed immunohistochemistry to quantify in situ proteins covering rare cell types at sub-cellular resolution in 80 patients with GC in the first cohort. A high correlation between the LMR (lymphocyte-to-monocyte ratio)/NLR (neutrophil-to-lymphocyte ratio) and tumor immune microenvironment was found. The density of exhausted CD8 T cells including CD8(+)PD1(−)TIM3(+), CD8(+)LAG3(+)PD1(+), CD8(+)LAG3(+)PD1(−), CD8(+)LAG3(+)PD1(+)TIM3(−) was negatively associated with LMR and positively associated with NLR (p < 0.05). Additionally, the higher density of macrophages in tumor core was associated with a higher platelet-to-lymphocyte ratio and systemic immune-inflammation index. Furthermore, we validated the prognostic value of LMR and NLR in an independent cohort of 357 gastric cancer patients receiving immunotherapy. Higher LMR at baseline was significantly associated with superior immune-related PFS (irPFS) and a trend of superior immune-related OS (irOS). Higher NLR was associated with inferior irOS. In conclusion, blood indexes were associated with immune cells infiltrating in primary tumors of GC. NLR and LMR are associated with the density of exhausted CD8(+) T immune cells, which leads to prognostic values of immunotherapy. MDPI 2022-07-25 /pmc/articles/PMC9332606/ /pubmed/35892867 http://dx.doi.org/10.3390/cancers14153608 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yuan, Jiajia
Zhao, Xingwang
Li, Yanyan
Yao, Qian
Jiang, Lei
Feng, Xujiao
Shen, Lin
Li, Yilin
Chen, Yang
The Association between Blood Indexes and Immune Cell Concentrations in the Primary Tumor Microenvironment Predicting Survival of Immunotherapy in Gastric Cancer
title The Association between Blood Indexes and Immune Cell Concentrations in the Primary Tumor Microenvironment Predicting Survival of Immunotherapy in Gastric Cancer
title_full The Association between Blood Indexes and Immune Cell Concentrations in the Primary Tumor Microenvironment Predicting Survival of Immunotherapy in Gastric Cancer
title_fullStr The Association between Blood Indexes and Immune Cell Concentrations in the Primary Tumor Microenvironment Predicting Survival of Immunotherapy in Gastric Cancer
title_full_unstemmed The Association between Blood Indexes and Immune Cell Concentrations in the Primary Tumor Microenvironment Predicting Survival of Immunotherapy in Gastric Cancer
title_short The Association between Blood Indexes and Immune Cell Concentrations in the Primary Tumor Microenvironment Predicting Survival of Immunotherapy in Gastric Cancer
title_sort association between blood indexes and immune cell concentrations in the primary tumor microenvironment predicting survival of immunotherapy in gastric cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9332606/
https://www.ncbi.nlm.nih.gov/pubmed/35892867
http://dx.doi.org/10.3390/cancers14153608
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