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Identification and Validation of the Prognostic Panel in Clear Cell Renal Cell Carcinoma Based on Resting Mast Cells for Prediction of Distant Metastasis and Immunotherapy Response.

Authors :
Su, Yang
Zhang, Tianxiang
Lu, Jinsen
Qian, Lei
Fei, Yang
Zhang, Li
Fan, Song
Zhou, Jun
Tang, Jieqiong
Chen, Haige
Liang, Chaozhao
Source :
Cells (2073-4409); Jan2023, Vol. 12 Issue 1, p180, 30p
Publication Year :
2023

Abstract

Clear cell renal cell carcinoma (ccRCC) has a high metastatic rate, and its incidence and mortality are still rising. The aim of this study was to identify the key tumor-infiltrating immune cells (TIICs) affecting the distant metastasis and prognosis of patients with ccRCC and to construct a relevant prognostic panel to predict immunotherapy response. Based on ccRCC bulk RNA sequencing data, resting mast cells (RMCs) were screened and verified using the CIBERSORT algorithm, survival analysis, and expression analysis. Distant metastasis-associated genes were identified using single-cell RNA sequencing data. Subsequently, a three-gene (CFB, PPP1R18, and TOM1L1) panel with superior distant metastatic and prognostic performance was established and validated, which stratified patients into high- and low-risk groups. The high-risk group exhibited lower infiltration of RMCs, higher tumor mutation burden (TMB), and worse prognosis. Therapeutically, the high-risk group was more sensitive to anti-PD-1 and anti-CTLA-4 immunotherapy, whereas the low-risk group displayed a better response to anti-PD-L1 immunotherapy. Furthermore, two immune clusters revealing distinct immune, clinical, and prognosis heterogeneity were distinguished. Immunohistochemistry of ccRCC samples verified the expression patterns of the three key genes. Collectively, the prognostic panel based on RMCs is able to predict distant metastasis and immunotherapy response in patients with ccRCC, providing new insight for the treatment of advanced ccRCC. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20734409
Volume :
12
Issue :
1
Database :
Complementary Index
Journal :
Cells (2073-4409)
Publication Type :
Academic Journal
Accession number :
161188858
Full Text :
https://doi.org/10.3390/cells12010180