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Research article
Xiangyang Liu
Cangzhou Central Hospital
Corresponding Author
ORCiD: https://orcid.org/0000-0002-8589-2989
License:
This work is licensed under a CC BY 4.0 License. Read Full License
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.
Keywords
renal cancer, tumor-infiltrating immune cells, proportion, prognosis
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This is a list of supplementary files associated with this preprint. Click to download.
- TableS1.xlsx
- FigS3.tif
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.
- FigS2.tif
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.
- FigS1.tif
Figure S1. Selection of the optimal number of clusters.
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View the published article at BMC Cancer.
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On 12 Dec, 2020
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Received 01 Nov, 2020
Review #1 received
Received 01 Nov, 2020
Editorial decision: Major revision
On 01 Nov, 2020
Reviewer #2 agreed
On 29 Oct, 2020
Reviewer #1 agreed
On 28 Oct, 2020
Reviewers invited
Invitations sent on 02 Oct, 2020
Editor assigned
On 28 Sep, 2020
Submission checks complete
On 27 Sep, 2020
Editor invited
On 27 Sep, 2020
No comments provided
Editorial decision: Major revision
On 05 Aug, 2020
Review #2 received
Received 21 Jul, 2020
Reviewer #2 agreed
On 14 Jul, 2020
Review #1 received
Received 09 Jun, 2020
Reviewer #1 agreed
On 02 Jun, 2020
Reviewers invited
Invitations sent on 11 May, 2020
Editor assigned
On 30 Mar, 2020
Submission checks complete
On 26 Mar, 2020
Editor invited
On 26 Mar, 2020
First submitted
On 20 Mar, 2020
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See the published version of this preprint at BMC Cancer.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research article
Xiangyang Liu
Cangzhou Central Hospital
Corresponding Author
ORCiD: https://orcid.org/0000-0002-8589-2989
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at BMC Cancer.
Version 3
Posted 05 Jan, 2021
No community comments so far
Editor assigned
On 12 Dec, 2020
Submission checks complete
On 12 Dec, 2020
Editor invited
On 12 Dec, 2020
No comments provided
Review #2 received
Received 01 Nov, 2020
Review #1 received
Received 01 Nov, 2020
Editorial decision: Major revision
On 01 Nov, 2020
Reviewer #2 agreed
On 29 Oct, 2020
Reviewer #1 agreed
On 28 Oct, 2020
Reviewers invited
Invitations sent on 02 Oct, 2020
Editor assigned
On 28 Sep, 2020
Submission checks complete
On 27 Sep, 2020
Editor invited
On 27 Sep, 2020
No comments provided
Editorial decision: Major revision
On 05 Aug, 2020
Review #2 received
Received 21 Jul, 2020
Reviewer #2 agreed
On 14 Jul, 2020
Review #1 received
Received 09 Jun, 2020
Reviewer #1 agreed
On 02 Jun, 2020
Reviewers invited
Invitations sent on 11 May, 2020
Editor assigned
On 30 Mar, 2020
Submission checks complete
On 26 Mar, 2020
Editor invited
On 26 Mar, 2020
First submitted
On 20 Mar, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at BMC Cancer.
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
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