Immune Infiltration Landscape in Lung Squamous Cell Carcinoma Implications
Intrinsic cancer cells and the tumor-infiltrating immune cells (TIICs) recruited to the immune microenvironment define the malignant phenotype of lung squamous cell carcinoma (LUSC). Understanding more about the immune microenvironment of LUSC enables the selection of high-risk patients who would de...
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Online Access: | http://dx.doi.org/10.1155/2020/5981870 |
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doaj-f0609dc721434b988191c6d36b7172732020-11-25T02:25:56ZengHindawi LimitedBioMed Research International2314-61332314-61412020-01-01202010.1155/2020/59818705981870Immune Infiltration Landscape in Lung Squamous Cell Carcinoma ImplicationsJungang Zhao0Wenming Bao1Weiyang Cai2Department of Hepatobiliary Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, ChinaDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, ChinaDepartment of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, ChinaIntrinsic cancer cells and the tumor-infiltrating immune cells (TIICs) recruited to the immune microenvironment define the malignant phenotype of lung squamous cell carcinoma (LUSC). Understanding more about the immune microenvironment of LUSC enables the selection of high-risk patients who would derive benefit from immunotherapy. Based on large public LUSC cohorts obtained from TCGA and GEO datasets, 22 types of infiltrating immune cell subgroups were evaluated by CIBERSORT. Meta-analysis, principal component analysis (PCA), single-sample gene set enrichment analysis (ssGSEA), and hierarchical clustering analysis were used to evaluate specific immune responses of LUSC. The distribution of TIICs of LUSC was entirely different from normal. TIIC subpopulations were also found to be closely associated with clinical features and molecular subtypes. Unsupervised clustering analysis revealed that three distinct TIIC subgroups existed with different survival patterns. TIICs are extensively implicated in the pathogenesis and development of LUSC. Characterizing the composition of TIICs influences the metabolism, pathological stage, and survival of tumor patients. It is hoped that this immune landscape could provide a more accurate understanding of the development and immunotherapy of LUSC.http://dx.doi.org/10.1155/2020/5981870 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jungang Zhao Wenming Bao Weiyang Cai |
spellingShingle |
Jungang Zhao Wenming Bao Weiyang Cai Immune Infiltration Landscape in Lung Squamous Cell Carcinoma Implications BioMed Research International |
author_facet |
Jungang Zhao Wenming Bao Weiyang Cai |
author_sort |
Jungang Zhao |
title |
Immune Infiltration Landscape in Lung Squamous Cell Carcinoma Implications |
title_short |
Immune Infiltration Landscape in Lung Squamous Cell Carcinoma Implications |
title_full |
Immune Infiltration Landscape in Lung Squamous Cell Carcinoma Implications |
title_fullStr |
Immune Infiltration Landscape in Lung Squamous Cell Carcinoma Implications |
title_full_unstemmed |
Immune Infiltration Landscape in Lung Squamous Cell Carcinoma Implications |
title_sort |
immune infiltration landscape in lung squamous cell carcinoma implications |
publisher |
Hindawi Limited |
series |
BioMed Research International |
issn |
2314-6133 2314-6141 |
publishDate |
2020-01-01 |
description |
Intrinsic cancer cells and the tumor-infiltrating immune cells (TIICs) recruited to the immune microenvironment define the malignant phenotype of lung squamous cell carcinoma (LUSC). Understanding more about the immune microenvironment of LUSC enables the selection of high-risk patients who would derive benefit from immunotherapy. Based on large public LUSC cohorts obtained from TCGA and GEO datasets, 22 types of infiltrating immune cell subgroups were evaluated by CIBERSORT. Meta-analysis, principal component analysis (PCA), single-sample gene set enrichment analysis (ssGSEA), and hierarchical clustering analysis were used to evaluate specific immune responses of LUSC. The distribution of TIICs of LUSC was entirely different from normal. TIIC subpopulations were also found to be closely associated with clinical features and molecular subtypes. Unsupervised clustering analysis revealed that three distinct TIIC subgroups existed with different survival patterns. TIICs are extensively implicated in the pathogenesis and development of LUSC. Characterizing the composition of TIICs influences the metabolism, pathological stage, and survival of tumor patients. It is hoped that this immune landscape could provide a more accurate understanding of the development and immunotherapy of LUSC. |
url |
http://dx.doi.org/10.1155/2020/5981870 |
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