Stats by Source
Total, split by cell line (COSMIC CL / DepMap / PubMed) vs tissue (COSMIC primary tissue)
Total = all mutations for this gene across every source.
Cell line = COSMIC Cell Lines Project + DepMap + PubMed.
Tissue = COSMIC primary-tissue (patient tumour) samples.
Total can exceed cell line + tissue: COSMIC tissue-derived models sit only in global, and a peptide can be shared across both.
| Total | Cell line | Tissue | |
|---|---|---|---|
| Mutations | 429 | 47 | 380 |
| Samples | 89 | 15 | 72 |
| Peptides | 96 | 12 | 84 |
Function
EIF3K · Eukaryotic translation initiation factor 3 subunit K
The 700-kD eukaryotic translation initiation factor-3 (eIF3) is the largest eIF and contains at least 12 subunits, including EIF2S12. eIF3 plays an essential role in translation by binding directly to the 40S ribosomal subunit and promoting formation of the 40S preinitiation complex (Mayeur et al., 2003 [PubMed 14519125]).[supplied by OMIM, Mar 2008].
Isoforms & Proteins
7 transcripts · UniProt mapping is sequence-verified (AA-safe)
Each Ensembl transcript (ENST) this gene is mutated on, with its matched UniProt accession.
The mapping is sequence-verified: the UniProt sequence is identical to the transcript translation, so amino-acid positions line up exactly. A * marks an unreviewed (TrEMBL) entry.
Counts are mutations and unique mutant peptides on each transcript.
Gene Properties
Recurrent Mutations
All 60 amino-acid changes on canonical ENST00000248342 · needle height = samples · drag the mini-map to zoom
A lollipop / needle plot – the standard way to show recurrent mutations along a protein (as used by cBioPortal and MutationMapper).
X-axis = amino-acid position in the protein.
Needle height & head size = how often that exact amino-acid change was observed (its recurrence). Tall/large heads are mutational hotspots.
The most recurrent changes are labelled; hover any needle for the change, position and counts.
Mutation frequency across cancer types
% of samples with a missense/complex mutation in EIF3K · cell line vs tissue
For each cancer type, the fraction of samples that carry at least one missense/complex mutation anywhere in EIF3K – counted as distinct samples (a sample counts once no matter how many mutations it has).
Split into cell line and tissue; each cell shows mutated / total and the percentage. Cohorts with <20 samples are omitted. Ordered by combined frequency.
| Cancer type | Cell lines | Tissue samples |
|---|---|---|
| Chronic Myelogenous Leukemia | 2/25 8% | 0/0 0% |
| T-Lymphoblastic Leukemia | 2/40 5% | 0/0 0% |
| Endometrial Carcinoma | 4/42 10% | 7/612 1% |
| Squamous Cell Lung Carcinoma | 0/57 0% | 6/810 1% |
| Germ Cell Tumour | 0/25 0% | 1/169 1% |
| Non-Small Cell Lung Carcinoma | 2/304 1% | 5/1390 0% |
| Bladder Carcinoma | 0/58 0% | 4/956 0% |
| Gastric Carcinoma | 1/74 1% | 6/1809 0% |
| Non-Cancerous | 0/104 0% | 3/830 0% |
| Plasma Cell Myeloma | 1/44 2% | 0/305 0% |
| Other Solid Cancers | 0/94 0% | 4/1515 0% |
| Melanoma | 0/210 0% | 5/1899 0% |
| Cervical Carcinoma | 0/35 0% | 1/422 0% |
| Medulloblastoma | 0/0 0% | 1/450 0% |
| Colorectal Carcinoma | 0/143 0% | 7/3239 0% |
| Biliary Tract Carcinoma | 0/54 0% | 2/950 0% |
| Kidney Carcinoma | 0/85 0% | 3/1862 0% |
| Glioma | 0/52 0% | 3/2127 0% |
| Small Cell Lung Carcinoma | 0/9 0% | 1/752 0% |
| Esophageal Carcinoma | 0/23 0% | 1/769 0% |
| Head and Neck Carcinoma | 0/85 0% | 2/1574 0% |
| Breast Carcinoma | 0/144 0% | 4/3264 0% |
| Pancreatic Carcinoma | 1/89 1% | 1/1611 0% |
| Other Blood Cancers | 1/61 2% | 2/2725 0% |
| Ovarian Carcinoma | 0/109 0% | 1/998 0% |
| Esophageal Squamous Cell Carcinoma | 0/51 0% | 2/2550 0% |
| Hepatocellular Carcinoma | 0/46 0% | 1/2210 0% |
| B-Lymphoblastic Leukemia | 1/55 2% | 0/2640 0% |
| B-Cell Non-Hodgkins Lymphoma | 0/88 0% | 1/2534 0% |
Mutation Distribution
Where EIF3K is mutated · all tissues, split by cell line vs tissue
How many mutations in EIF3K were found in each tissue, across the whole database.
Each bar is a tissue (cell-line and tissue names are merged to the standard tissue), split into cell line and tissue (patient tumour) contributions.
This shows the cancer-context where this gene is recurrently altered.
GTEx Expression
Median TPM across 54 healthy tissues
Median gene expression (TPM) in normal, non-cancer human tissues from the GTEx project.
Useful for judging tumour specificity – a strong neoantigen target ideally comes from a gene with low expression in healthy tissues.
Scroll or drag the mini-axis below the chart to browse all tissues.
Mutations
All 429 mutations in EIF3K
Every mutation record for this gene, across all samples and sources.
The Sample column links to the cell line (cell-line samples) or the tissue type (tissue samples).
Use the Type / Source filters, the search box, and column sorting to explore; each CAN-IMMUNE ID opens the full mutation & peptide view.
| ID | Sample | Transcript | AA Change | CDS | Type | Source | Mutant Peptide | Wild-type Peptide |
|---|