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Integrated analysis of immune infiltration in esophageal carcinoma as prognostic biomarkers

BACKGROUND: Esophageal cancer (EC) is one of the most aggressive and lethal malignancies in the world. The quantity and distribution of immune cells are very important factors in determining cancer. Tumor-infiltrating mast cells (TIM) are a class of immune cells with an important immune regulation f...

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Autores principales: Yin, Hang, Wang, Xiaoyuan, Jin, Nannan, Ling, Xiaodong, Leng, Xue, Wang, Yu, Ma, Keru, Jiang, Xiangyu, Zhu, Jinhong, Ma, Jianqun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667131/
https://www.ncbi.nlm.nih.gov/pubmed/34988206
http://dx.doi.org/10.21037/atm-21-5881
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author Yin, Hang
Wang, Xiaoyuan
Jin, Nannan
Ling, Xiaodong
Leng, Xue
Wang, Yu
Ma, Keru
Jiang, Xiangyu
Zhu, Jinhong
Ma, Jianqun
author_facet Yin, Hang
Wang, Xiaoyuan
Jin, Nannan
Ling, Xiaodong
Leng, Xue
Wang, Yu
Ma, Keru
Jiang, Xiangyu
Zhu, Jinhong
Ma, Jianqun
author_sort Yin, Hang
collection PubMed
description BACKGROUND: Esophageal cancer (EC) is one of the most aggressive and lethal malignancies in the world. The quantity and distribution of immune cells are very important factors in determining cancer. Tumor-infiltrating mast cells (TIM) are a class of immune cells with an important immune regulation function for tumor progression. However, tumor-infiltrating immune cells (TIICs) and their role in EC have not yet been investigated. METHODS: The RNA-seq data of an EC cohort were downloaded from The Cancer Genome Atlas (TCGA) website. In this study, we used the Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT) algorithm to compare different soakage of inflammatory cells in esophageal squamous cell carcinoma (ESCC) and normal tissue. Kaplan-Meier survival analysis was performed on different immune cell subpopulations and overall survival (OS) in 22 human immune cell phenotypes. Immunohistochemistry (IHC) was also carried out using our clinical tissue samples. RESULTS: The proportion of tumor-infiltrating mast cells (TIM) significantly increased at the late of EC and a high percentage of mast cells indicated a poor OS of EC patients in TCGA database. The IHC staining of tryptase revealed that high level of TIM expression was an independent prognostic factor of survival time in the ESCC patients in our database. In addition, TIM accumulation and infiltration of CD8+T cells were shown to be negatively correlated. CONCLUSIONS: This work revealed that TIM are related to prognosis in patients with EC and TIM may be an independent prognostic factor for EC.
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spelling pubmed-86671312022-01-04 Integrated analysis of immune infiltration in esophageal carcinoma as prognostic biomarkers Yin, Hang Wang, Xiaoyuan Jin, Nannan Ling, Xiaodong Leng, Xue Wang, Yu Ma, Keru Jiang, Xiangyu Zhu, Jinhong Ma, Jianqun Ann Transl Med Original Article BACKGROUND: Esophageal cancer (EC) is one of the most aggressive and lethal malignancies in the world. The quantity and distribution of immune cells are very important factors in determining cancer. Tumor-infiltrating mast cells (TIM) are a class of immune cells with an important immune regulation function for tumor progression. However, tumor-infiltrating immune cells (TIICs) and their role in EC have not yet been investigated. METHODS: The RNA-seq data of an EC cohort were downloaded from The Cancer Genome Atlas (TCGA) website. In this study, we used the Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT) algorithm to compare different soakage of inflammatory cells in esophageal squamous cell carcinoma (ESCC) and normal tissue. Kaplan-Meier survival analysis was performed on different immune cell subpopulations and overall survival (OS) in 22 human immune cell phenotypes. Immunohistochemistry (IHC) was also carried out using our clinical tissue samples. RESULTS: The proportion of tumor-infiltrating mast cells (TIM) significantly increased at the late of EC and a high percentage of mast cells indicated a poor OS of EC patients in TCGA database. The IHC staining of tryptase revealed that high level of TIM expression was an independent prognostic factor of survival time in the ESCC patients in our database. In addition, TIM accumulation and infiltration of CD8+T cells were shown to be negatively correlated. CONCLUSIONS: This work revealed that TIM are related to prognosis in patients with EC and TIM may be an independent prognostic factor for EC. AME Publishing Company 2021-11 /pmc/articles/PMC8667131/ /pubmed/34988206 http://dx.doi.org/10.21037/atm-21-5881 Text en 2021 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Yin, Hang
Wang, Xiaoyuan
Jin, Nannan
Ling, Xiaodong
Leng, Xue
Wang, Yu
Ma, Keru
Jiang, Xiangyu
Zhu, Jinhong
Ma, Jianqun
Integrated analysis of immune infiltration in esophageal carcinoma as prognostic biomarkers
title Integrated analysis of immune infiltration in esophageal carcinoma as prognostic biomarkers
title_full Integrated analysis of immune infiltration in esophageal carcinoma as prognostic biomarkers
title_fullStr Integrated analysis of immune infiltration in esophageal carcinoma as prognostic biomarkers
title_full_unstemmed Integrated analysis of immune infiltration in esophageal carcinoma as prognostic biomarkers
title_short Integrated analysis of immune infiltration in esophageal carcinoma as prognostic biomarkers
title_sort integrated analysis of immune infiltration in esophageal carcinoma as prognostic biomarkers
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667131/
https://www.ncbi.nlm.nih.gov/pubmed/34988206
http://dx.doi.org/10.21037/atm-21-5881
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