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The immune infiltration in clear cell Renal Cell Carcinoma and their clinical implications: A study based on TCGA and GEO databases.
| Content Provider | Europe PMC |
|---|---|
| Author | Pan, Qiufeng Wang, Longwang Chai, Shuaishuai Zhang, Hao Li, Bing |
| Copyright Year | 2020 |
| 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. |
| Volume Number | 11 |
| PubMed Central reference number | PMC7097965 |
| Issue Number | 11 |
| PubMed reference number | 32231726 |
| Journal | Journal of Cancer [J Cancer] |
| e-ISSN | 18379664 |
| DOI | 10.7150/jca.37285 |
| Language | English |
| Publisher | Ivyspring International Publisher |
| Publisher Date | 2020-03-05 |
| Publisher Place | Sydney |
| Access Restriction | Open |
| Rights License | 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. © The author(s) |
| Subject Keyword | devolution algorithm tumor microenvionment clear cell renal cell carcinoma (ccRCC) genomic signature |
| Content Type | Text |
| Resource Type | Article |
| Subject | Oncology |
