Full Text | PDF

Share on tweeters Share on facebook Share on linkedin Share on googleplus

J Cancer 2020; 11(11):3207-3215. doi:10.7150/jca.37285 This issue Cite

Research Paper

The immune infiltration in clear cell Renal Cell Carcinoma and their clinical implications: A study based on TCGA and GEO databases

Qiufeng Pan1*, Longwang Wang2*, Shuaishuai Chai1*, Hao Zhang1, Bing Li1✉

1. Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
2. Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
*Equal contributions to this study.

✉ Corresponding author: Professor Bing Li, Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China. E-mail: bingliedu.cn.Tel: +86 27 85351625 Fax: +86 27 85726970

Citation:
Pan Q, Wang L, Chai S, Zhang H, Li B. The immune infiltration in clear cell Renal Cell Carcinoma and their clinical implications: A study based on TCGA and GEO databases. J Cancer 2020; 11(11):3207-3215. doi:10.7150/jca.37285. https://www.jcancer.org/v11p3207.htm
Other styles

File import instruction

Abstract

The tumor immune microenvironment in clear cell Renal Cell Carcinoma (ccRCC) still remains poorly understood. Previous methods to study the tumor immune microenvironment have a limitation when accounting for the functionally distinct cell types. In this study, we investigated the differently infiltrated immune cells and their clinical significance in ccRCC for the purpose of shedding some important light on the complex immune microenvironment in ccRCC. The devolution algorithm (CIBERSORT) was applied to infer the proportion of 22 immune infiltrating cells based on gene expression profiles of ccRCC bulk tissue, which were downloaded from TCGA and GEO databases. As a result, we observed considerable differences in immune cells percentage between ccRCC tumor tissue and paired normal tissue; meanwhile, we uncovered their internal correlations and associations with Fuhrman grade. Moreover, dendritic cells resting, dendritic cells activated, mast cells resting, mast cells activated and eosinophils were associated with favorable prognosis, whereas B cells memory, T cells follicular helper and T cells regulatory (Tregs) were correlated with poorer outcome.

Keywords: devolution algorithm, tumor microenvionment, clear cell renal cell carcinoma (ccRCC), genomic signature

Citation styles

APA
Pan, Q., Wang, L., Chai, S., Zhang, H., Li, B. (2020). The immune infiltration in clear cell Renal Cell Carcinoma and their clinical implications: A study based on TCGA and GEO databases. Journal of Cancer, 11(11), 3207-3215. https://doi.org/10.7150/jca.37285.

ACS
Pan, Q.; Wang, L.; Chai, S.; Zhang, H.; Li, B. The immune infiltration in clear cell Renal Cell Carcinoma and their clinical implications: A study based on TCGA and GEO databases. J. Cancer 2020, 11 (11), 3207-3215. DOI: 10.7150/jca.37285.

NLM
Pan Q, Wang L, Chai S, Zhang H, Li B. The immune infiltration in clear cell Renal Cell Carcinoma and their clinical implications: A study based on TCGA and GEO databases. J Cancer 2020; 11(11):3207-3215. doi:10.7150/jca.37285. https://www.jcancer.org/v11p3207.htm

CSE
Pan Q, Wang L, Chai S, Zhang H, Li B. 2020. The immune infiltration in clear cell Renal Cell Carcinoma and their clinical implications: A study based on TCGA and GEO databases. J Cancer. 11(11):3207-3215.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
Popup Image

©2024 Ivyspring International Publisher. Terms of use