Gene expression-based immune infiltration analyses of renal cancer and their associations with survival outcome
Background: Renal cancer is a common malignant tumor with an increasing incidence rate.
Methods: In this study, based on the gene expression profiles, we analyzed the compositions of tumor-infiltrating immune cells (TIICs) in renal cancer and paracancerous samples using CIBERSORT. The proportions of 22 TIICs subsets in 122 paired renal carcinoma and paracancerous samples, and 224 Wilms tumor (WT) samples varied between intragroup and intergroup.
Results: After analyzed the difference of TIICs composition between renal cancer and paired paracancerous samples, we found that M0 macrophages and CD8 T cells were significantly elevated, while naive B cells were significantly decreased in renal cancer samples compared with paracancerous samples. Survival analysis showed that high overall TIICs proportion , the low proportion of resting mast cells and the high proportion of activated memory CD4 T cells were associated with poor prognosis of renal cancer patients. In addition, 3 clusters were identified by hierarchical clustering analysis, and they presented a distinct prognosis. Cluster 1 had superior survival outcomes, while cluster 2 had an inferior survival outcome.
Conclusions: Our study indicated that overall TIICs proportion, certain TIICs subset proportion, including resting mast cells and activated memory CD4 T cells, and distinct cluster patterns were associated with the prognosis of renal cancer, which was significant for the clinical surveillance and treatment of renal cancer.
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Figure S3. The violin plot of clinical characters in three clusters. Violin colors represent different clusters, and the vertical axis represents samples. (A) Age. (B) Sex. (C) Stage.
Figure S2. The violin plot of immune cell type abundances differ between clusters. Violin colors represent different clusters, and the vertical axis represents the relative proportion of immune cells.
Figure S1. Selection of the optimal number of clusters.
Posted 05 Jan, 2021
On 12 Dec, 2020
On 12 Dec, 2020
On 12 Dec, 2020
Received 01 Nov, 2020
Received 01 Nov, 2020
On 01 Nov, 2020
On 29 Oct, 2020
On 28 Oct, 2020
Invitations sent on 02 Oct, 2020
On 28 Sep, 2020
On 27 Sep, 2020
On 27 Sep, 2020
On 05 Aug, 2020
Received 21 Jul, 2020
On 14 Jul, 2020
Received 09 Jun, 2020
On 02 Jun, 2020
Invitations sent on 11 May, 2020
On 30 Mar, 2020
On 26 Mar, 2020
On 26 Mar, 2020
On 20 Mar, 2020
Gene expression-based immune infiltration analyses of renal cancer and their associations with survival outcome
Posted 05 Jan, 2021
On 12 Dec, 2020
On 12 Dec, 2020
On 12 Dec, 2020
Received 01 Nov, 2020
Received 01 Nov, 2020
On 01 Nov, 2020
On 29 Oct, 2020
On 28 Oct, 2020
Invitations sent on 02 Oct, 2020
On 28 Sep, 2020
On 27 Sep, 2020
On 27 Sep, 2020
On 05 Aug, 2020
Received 21 Jul, 2020
On 14 Jul, 2020
Received 09 Jun, 2020
On 02 Jun, 2020
Invitations sent on 11 May, 2020
On 30 Mar, 2020
On 26 Mar, 2020
On 26 Mar, 2020
On 20 Mar, 2020
Background: Renal cancer is a common malignant tumor with an increasing incidence rate.
Methods: In this study, based on the gene expression profiles, we analyzed the compositions of tumor-infiltrating immune cells (TIICs) in renal cancer and paracancerous samples using CIBERSORT. The proportions of 22 TIICs subsets in 122 paired renal carcinoma and paracancerous samples, and 224 Wilms tumor (WT) samples varied between intragroup and intergroup.
Results: After analyzed the difference of TIICs composition between renal cancer and paired paracancerous samples, we found that M0 macrophages and CD8 T cells were significantly elevated, while naive B cells were significantly decreased in renal cancer samples compared with paracancerous samples. Survival analysis showed that high overall TIICs proportion , the low proportion of resting mast cells and the high proportion of activated memory CD4 T cells were associated with poor prognosis of renal cancer patients. In addition, 3 clusters were identified by hierarchical clustering analysis, and they presented a distinct prognosis. Cluster 1 had superior survival outcomes, while cluster 2 had an inferior survival outcome.
Conclusions: Our study indicated that overall TIICs proportion, certain TIICs subset proportion, including resting mast cells and activated memory CD4 T cells, and distinct cluster patterns were associated with the prognosis of renal cancer, which was significant for the clinical surveillance and treatment of renal cancer.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5