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SETDB1 mutations in 9 cancer types possibly contribute to the detection of the gene in the PAN-cancer anlaysis:: Prostate adenocarcinoma, Lung adenocarcinoma, Hepatocarcinoma, Bladder carcinoma, Breast carcinoma, Lung squamous cell carcinoma, Cutaneous melanoma, Chronic lymphocytic leukemia, Serous ovarian adenocarcinoma

SETDB1
Ensembl id ENSG00000143379
Mutated samples
Coding Sequence 120 (1.8%)
Protein Affecting 76 (1.1%)
Mode of action Activating
Known driver No
Cancer type Signals (Biases)
PAN
Clust Clustered Mutations FM Functional Mutations Rec Recurrent Mutations
This plot shows the most recurrently mutated cancer types in all SETDB1 gene mutations. Each bar of the histogram indicates the amount of samples with PAMs.

Cancer type Driver Mutated samples (CS) Mutated samples (PAM) % Mutated samples (PAM)
Cutaneous melanoma Yes 20 11 2.98
Breast carcinoma Yes 15 10 0.87
Lung adenocarcinoma Yes 10 5 1.28
Lung squamous cell carcinoma Yes 6 4 2.30
Hepatocarcinoma Yes 4 3 3.33
Serous ovarian adenocarcinoma Yes 3 3 0.95
Prostate adenocarcinoma Yes 3 2 0.82
Bladder carcinoma Yes 2 2 2.04
Chronic lymphocytic leukemia Yes 3 2 0.69
Stomach adenocarcinoma No 11 10 6.21
Uterine corpus endometrioid carcinoma No 12 5 2.17
Head and neck squamous cell carcinoma No 11 5 1.33
Renal clear cell carcinoma No 7 4 0.96
Colorectal adenocarcinoma No 4 4 1.75
Esophageal carcinoma No 4 4 2.74
Thyroid carcinoma No 2 1 0.31
Glioblastoma multiforme No 1 1 0.26
Small cell lung carcinoma No 2 0 0.00
The mutations needle plot shows the distribution of the observed cancer mutations along the protein sequence and it's possible mutational clusters and hotspots. The needles' height and head size represent mutational recurrence. Needles of different categories that fall in the same amino acid residues are stacked.

Variant Locus Samples AA pos AA change Consequence