Immune classification of clear cell renal cell carcinoma

Abstract Since the outcome of treatments, particularly immunotherapeutic interventions, depends on the tumor immune micro-environment (TIM), several experimental and computational tools such as flow cytometry, immunohistochemistry, and digital cytometry have been developed and utilized to classify T...

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Main Authors: Sumeyye Su, Shaya Akbarinejad, Leili Shahriyari
Format: Article
Language:English
Published: Nature Publishing Group 2021-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-83767-z
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spelling doaj-1f1588e959d940e1b678b1fd5a2615fc2021-02-23T09:15:44ZengNature Publishing GroupScientific Reports2045-23222021-02-0111111010.1038/s41598-021-83767-zImmune classification of clear cell renal cell carcinomaSumeyye Su0Shaya Akbarinejad1Leili Shahriyari2Department of Mathematics and Statistics, University of Massachusetts AmherstDepartment of Mathematics and Statistics, University of Massachusetts AmherstDepartment of Mathematics and Statistics, University of Massachusetts AmherstAbstract Since the outcome of treatments, particularly immunotherapeutic interventions, depends on the tumor immune micro-environment (TIM), several experimental and computational tools such as flow cytometry, immunohistochemistry, and digital cytometry have been developed and utilized to classify TIM variations. In this project, we identify immune pattern of clear cell renal cell carcinomas (ccRCC) by estimating the percentage of each immune cell type in 526 renal tumors using the new powerful technique of digital cytometry. The results, which are in agreement with the results of a large-scale mass cytometry analysis, show that the most frequent immune cell types in ccRCC tumors are CD8+ T-cells, macrophages, and CD4+ T-cells. Saliently, unsupervised clustering of ccRCC primary tumors based on their relative number of immune cells indicates the existence of four distinct groups of ccRCC tumors. Tumors in the first group consist of approximately the same numbers of macrophages and CD8+ T-cells and and a slightly smaller number of CD4+ T cells than CD8+ T cells, while tumors in the second group have a significantly high number of macrophages compared to any other immune cell type (P-value $$<0.01$$ < 0.01 ). The third group of ccRCC tumors have a significantly higher number of CD8+ T-cells than any other immune cell type (P-value $$<0.01$$ < 0.01 ), while tumors in the group 4 have approximately the same numbers of macrophages and CD4+ T-cells and a significantly smaller number of CD8+ T-cells than CD4+ T-cells (P-value $$<0.01$$ < 0.01 ). Moreover, there is a high positive correlation between the expression levels of IFNG and PDCD1 and the percentage of CD8+ T-cells, and higher stage and grade of tumors have a substantially higher percentage of CD8+ T-cells. Furthermore, the primary tumors of patients, who are tumor free at the last time of follow up, have a significantly higher percentage of mast cells (P-value $$<0.01$$ < 0.01 ) compared to the patients with tumors for all groups of tumors except group 3.https://doi.org/10.1038/s41598-021-83767-z
collection DOAJ
language English
format Article
sources DOAJ
author Sumeyye Su
Shaya Akbarinejad
Leili Shahriyari
spellingShingle Sumeyye Su
Shaya Akbarinejad
Leili Shahriyari
Immune classification of clear cell renal cell carcinoma
Scientific Reports
author_facet Sumeyye Su
Shaya Akbarinejad
Leili Shahriyari
author_sort Sumeyye Su
title Immune classification of clear cell renal cell carcinoma
title_short Immune classification of clear cell renal cell carcinoma
title_full Immune classification of clear cell renal cell carcinoma
title_fullStr Immune classification of clear cell renal cell carcinoma
title_full_unstemmed Immune classification of clear cell renal cell carcinoma
title_sort immune classification of clear cell renal cell carcinoma
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2021-02-01
description Abstract Since the outcome of treatments, particularly immunotherapeutic interventions, depends on the tumor immune micro-environment (TIM), several experimental and computational tools such as flow cytometry, immunohistochemistry, and digital cytometry have been developed and utilized to classify TIM variations. In this project, we identify immune pattern of clear cell renal cell carcinomas (ccRCC) by estimating the percentage of each immune cell type in 526 renal tumors using the new powerful technique of digital cytometry. The results, which are in agreement with the results of a large-scale mass cytometry analysis, show that the most frequent immune cell types in ccRCC tumors are CD8+ T-cells, macrophages, and CD4+ T-cells. Saliently, unsupervised clustering of ccRCC primary tumors based on their relative number of immune cells indicates the existence of four distinct groups of ccRCC tumors. Tumors in the first group consist of approximately the same numbers of macrophages and CD8+ T-cells and and a slightly smaller number of CD4+ T cells than CD8+ T cells, while tumors in the second group have a significantly high number of macrophages compared to any other immune cell type (P-value $$<0.01$$ < 0.01 ). The third group of ccRCC tumors have a significantly higher number of CD8+ T-cells than any other immune cell type (P-value $$<0.01$$ < 0.01 ), while tumors in the group 4 have approximately the same numbers of macrophages and CD4+ T-cells and a significantly smaller number of CD8+ T-cells than CD4+ T-cells (P-value $$<0.01$$ < 0.01 ). Moreover, there is a high positive correlation between the expression levels of IFNG and PDCD1 and the percentage of CD8+ T-cells, and higher stage and grade of tumors have a substantially higher percentage of CD8+ T-cells. Furthermore, the primary tumors of patients, who are tumor free at the last time of follow up, have a significantly higher percentage of mast cells (P-value $$<0.01$$ < 0.01 ) compared to the patients with tumors for all groups of tumors except group 3.
url https://doi.org/10.1038/s41598-021-83767-z
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