Basic information

Full name
programmed cell death 1
Ensembl
ENSG00000188389.11
Summary
Programmed cell death protein 1 (PDCD1) is an immune-inhibitory receptor expressed in activated T cells; it is involved in the regulation of T-cell functions, including those of effector CD8+ T cells. In addition, this protein can also promote the differentiation of CD4+ T cells into T regulatory cells. PDCD1 is expressed in many types of tumors including melanomas, and has demonstrated to play a role in anti-tumor immunity. Moreover, this protein has been shown to be involved in safeguarding against autoimmunity, however, it can also contribute to the inhibition of effective anti-tumor and anti-microbial immunity. [provided by RefSeq, Aug 2020]
Annotation
Druggable target (Tier T1) Receptor

Protein product

Phosphosites on the primary protein product
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Tumor and normal comparison

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Signed p-values
Data type
Meta P
BRCA
CCRCC
COAD
GBM
HNSCC
LSCC
LUAD
OV
PDAC
UCEC
RNA5.4e-10-8.4e-22--1.9e-30.650.012--0.075-
protein-----------

* P-values are from Wilcoxon rank sum test and can be clicked to show the box plots. Positive values mean higher abundance in tumor. BRCA and GBM do not have normal samples.

mRNA expression at gene level
BRCACCRCCCOADGBMHNSCCLSCCLUADOVPDACUCEC01234567891011log2(RSEM+1)tumornormal
Protein expression
CCRCCUCEC1313.51414.51515.51616.51717.518log2(MS1 intensity)tumornormal

* Mild outlier: filled circle; Extreme outlier: empty circle.

Phenotype and mutation association

Manhattan plot summarizing associations of phenotypes and mutations across all cohorts and omics data types

BRCACCRCCCOADGBMHNSCCLSCCLUADOVPDACUCEC051015202530350-5-10-15-20-25-30-35Pan-cancer0204060801001201400-20-40-60-80-100-120-140proteinRNASCNVclinicalpathwaycell typegenomicmutation-log10 of P-value

* Data points of significant associations above and below the dotted lines can be hovered to show the phenotype.

Associations of the protein abundance of PDCD1 with phenotypes and mutations

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Signed p-values
Phenotype
Meta P
BRCA
CCRCC
COAD
GBM
HNSCC
LSCC
LUAD
OV
PDAC
UCEC
xcell: T cell CD8+ central memory5e-15-2.2e-16-------4.2e-3
cibersort: T cell CD8+5.5e-15-2.2e-16-------4.5e-3
xcell: T cell CD8+7.2e-14-2.2e-16-------0.017
xcell: T cell CD8+ effector memory2.8e-11-2.2e-16-------0.23
HALLMARK_INTERFERON_ALPHA_RESPONSE2.4e-9-2.2e-16-------0.82
HALLMARK_ALLOGRAFT_REJECTION1.6e-6-1.2e-3-------4.0e-4
xcell: immune score9.3e-6-9.7e-4-------0.003
xcell: Myeloid dendritic cell activated2.9e-5-0.016-------4.7e-4
cibersort: Macrophage M14.5e-5-0.019-------6.2e-4
ESTIMATE: ImmuneScore4.7e-5-3.6e-3-------4.5e-3
Showing 1 to 10 of 256 rows

* P-values could be from test for Spearman correlation, Wilcoxon rank sum test, Jonckheere-Terpstra trend test or Cox regression depending on the data type. P-values for individual cohorts can be clicked to show the data plots. The matrix icons in each row can be clicked to show a heatmap summary of associations across all cohorts and omics. The rows in the table can be expanded to show results from other omics.

Cis-association

Associations between omics data of PDCD1

BRCA-0.01proteinmRNASCNVmethylationCCRCC0.85-0.030.07proteinmRNASCNVmethylationCOAD-0.00proteinmRNASCNVmethylationGBM0.00proteinmRNASCNVmethylationHNSCC0.10proteinmRNASCNVmethylationLSCC0.18proteinmRNASCNVmethylationLUAD0.15proteinmRNASCNVmethylationOV-0.21proteinmRNASCNVmethylationPDAC0.03proteinmRNASCNVmethylationUCEC0.780.32-0.03proteinmRNASCNVmethylation

* The numbers are Spearman correlation coefficients and can be clicked to show the scatter plots. The color and size of the circles correlate with the coefficients.

Trans-association

Associations of the protein abundance of PDCD1 and the protein abundance of other genes

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Signed p-values
Gene
Meta P
BRCA
CCRCC
COAD
GBM
HNSCC
LSCC
LUAD
OV
PDAC
UCEC
No matching records found

* P-values are from test for Spearman correlation. P-values for individual cohorts can be clicked to show the data plots. The matrix icons in each row can be clicked to show a heatmap summary of associations across all cohorts and omics. The rows in the table can be expanded to show results from other omics.

Gene set enrichment analysis

Submit genes and the common logarithm of the p-values of their association with to WebGestalt.