The Landscape of Immune Cells Infiltrating in Prostate Cancer

Frontiers in Oncology
Zhicong WuFan Deng

Abstract

This study was to explore the infiltration pattern of immune cells in the prostate cancer (PCa) microenvironment and evaluate the possibility of specific infiltrating immune cells as potential prognostic biomarkers in PCa. Infiltrating percentage of 22 immune cells were extracted from 27 normalized datasets by CIBERSORT algorithm. Samples with CIBERSORT p-value < 0.05 were subsequently merged and divided into normal or tumor groups. The differences of 22 immune cells between normal and tumor tissues were analyzed along with potential infiltrating correlations among 22 immune cells and Gleason grades. SNV data from TCGA was used to calculate the TMB score. A univariate and multivariate regression were used to evaluate the prognostic effects of immune cells in PCa. Ten immune cells with significant differences were identified, including seven increased and three decreased infiltrating immune cells from 190 normal prostate tissues and 537 PCa tissues. Among them, the percentage of infiltration of resting NK cells increased the most, whereas the percentage of infiltration of resting mast cells decreased the most. In normal tissues, CD8+ T cells had the strongest infiltrating correlation with monocytes, while activated NK cells and ...Continue Reading

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Citations

Mar 5, 2021·Clinical Immunology : the Official Journal of the Clinical Immunology Society·Jamal Majidpoor, Keywan Mortezaee
Feb 20, 2021·Current Opinion in Oncology·Liang DongKenneth J Pienta

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Datasets Mentioned

BETA
GSE26910
GSE5132
GSE71016
GSE15484
GSE32571
GSE38241
GSE41969
GSE62872
GSE70768
GSE29079

Software Mentioned

CIBERSORT
SPSS
limma
TIMER
GraphPad prism
pheatmap
maftools
R
ggplot2
Corrplot

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