Basic information

Full name
checkpoint kinase 2
Ensembl
ENSG00000183765.22
Summary
In response to DNA damage and replication blocks, cell cycle progression is halted through the control of critical cell cycle regulators. The protein encoded by this gene is a cell cycle checkpoint regulator and putative tumor suppressor. It contains a forkhead-associated protein interaction domain essential for activation in response to DNA damage and is rapidly phosphorylated in response to replication blocks and DNA damage. When activated, the encoded protein is known to inhibit CDC25C phosphatase, preventing entry into mitosis, and has been shown to stabilize the tumor suppressor protein p53, leading to cell cycle arrest in G1. In addition, this protein interacts with and phosphorylates BRCA1, allowing BRCA1 to restore survival after DNA damage. Mutations in this gene have been linked with Li-Fraumeni syndrome, a highly penetrant familial cancer phenotype usually associated with inherited mutations in TP53. Also, mutations in this gene are thought to confer a predisposition to sarcomas, breast cancer, and brain tumors. This nuclear protein is a member of the CDS1 subfamily of serine/threonine protein kinases. Several transcript variants encoding different isoforms have been found for this gene. [provided by RefSeq, Apr 2012]
Annotation
Druggable target (Tier T3) Protein Kinase

Protein product

  • ENST00000404276.6 Primary ENSP00000385747.1 (8 phosphosites)
  • ENST00000405598.5
  • ENST00000650281.1
  • ENST00000382580.6
  • ENST00000348295.7
  • ENST00000402731.5
  • ENST00000403642.5
  • ENST00000649563.1
  • ENST00000382565.5
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
RNA1.6e-92-4.3e-28--8.5e-164.9e-343.4e-28-6.4e-4-
protein3.3e-91-1.2e-213.1e-12-1.9e-144.2e-341.7e-263.8e-33.5e-38.5e-6

* 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
BRCACCRCCCOADGBMHNSCCLSCCLUADOVPDACUCEC55.566.577.588.599.51010.511log2(RSEM+1)tumornormal
Protein expression
BRCACCRCCCOADGBMHNSCCLSCCLUADOVPDACUCEC19.52020.52121.52222.52323.52424.52525.5log2(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

BRCACCRCCCOADGBMHNSCCLSCCLUADOVPDACUCEC0246810121416180-2-4-6-8-10-12-14-16-18Pan-cancer01020304050607080901000-10-20-30-40-50-60-70-80-90-100proteinRNASCNVclinicalpathwaycell 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 CHEK2 with phenotypes and mutations

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Signed p-values
Phenotype
Meta P
BRCA
CCRCC
COAD
GBM
HNSCC
LSCC
LUAD
OV
PDAC
UCEC
HALLMARK_E2F_TARGETS1.2e-582.2e-163.4e-4-0.792.2e-164.1e-62.2e-163.1e-82.6e-34.7e-78.5e-7
HALLMARK_MYC_TARGETS_V21e-481.6e-93.9e-4-0.745.4e-55.6e-62.2e-161.7e-71.8e-58.8e-102.6e-6
HALLMARK_G2M_CHECKPOINT3e-452e-115.0e-4-0.448.8e-102.0e-68.9e-101.9e-95.1e-34.3e-61.5e-6
KINASE-PSP_CDK27.2e-393.7e-102.4e-50.771.1e-83.5e-41.6e-63e-81.8e-33.1e-44.2e-5
HALLMARK_SPERMATOGENESIS4.4e-291.6e-80.025-0.538.4e-32.2e-93.8e-104.4e-55.2e-38.4e-31.9e-4
PERT-PSP_NOCODAZOLE6.7e-276.7e-81.1e-40.542.1e-38.2e-31.7e-85.1e-50.0040.0052.7e-3
chromosomal instability1.5e-262.1e-52.0e-58.1e-30.0551.8e-42.2e-160.0170.0030.110.084
HALLMARK_MYC_TARGETS_V17.6e-241.4e-70.110.825.5e-60.0312e-81.3e-40.122.3e-47.5e-4
KINASE-PSP_CDK11e-236.8e-76.3e-317.4e-70.147.1e-52.7e-70.0257.8e-33.5e-4
KINASE-PSP_CK2A1/CSNK2A15.8e-201.4e-40.0059.7e-31.5e-33.8e-55.5e-38.9e-30.137.8e-33.7e-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 CHEK2

BRCA0.800.170.29proteinmRNASCNVmethylationCCRCC0.550.04-0.01-0.020.02-0.16proteinmRNASCNVmethylationCOAD0.230.060.33proteinmRNASCNVmethylationGBM0.61-0.030.25-0.110.28-0.14proteinmRNASCNVmethylationHNSCC0.79-0.160.35-0.070.42-0.03proteinmRNASCNVmethylationLSCC0.900.020.49-0.040.57-0.11proteinmRNASCNVmethylationLUAD0.77-0.180.19-0.070.29-0.08proteinmRNASCNVmethylationOV0.730.190.22proteinmRNASCNVmethylationPDAC0.530.090.130.050.370.02proteinmRNASCNVmethylationUCEC0.690.060.090.100.180.09proteinmRNASCNVmethylation

* 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 CHEK2 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.