FLT1

Fms related receptor tyrosine kinase 1 P17948 VGFR1_HUMAN
Protein Coding Chr 13 13q12.3 Swiss-Prot reviewed Entrez 2321
Mutations
2,870
CL 268 · Tissue 2,587
Samples
905
CL 131 · Tissue 766
Peptides
729
unique mutant peptides
Transcripts
5
isoforms mutated

Stats by Source

Total, split by cell line (COSMIC CL / DepMap / PubMed) vs tissue (COSMIC primary tissue)

How the counts split by source
Stats by Source

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.

TotalCell lineTissue
Mutations2,8702682,587
Samples905131766
Peptides729100643

Function

FLT1 · Fms related receptor tyrosine kinase 1

This gene encodes a member of the vascular endothelial growth factor receptor (VEGFR) family. VEGFR family members are receptor tyrosine kinases (RTKs) which contain an extracellular ligand-binding region with seven immunoglobulin (Ig)-like domains, a transmembrane segment, and a tyrosine kinase (TK) domain within the cytoplasmic domain. This protein binds to VEGFR-A, VEGFR-B and placental growth factor and plays an important role in angiogenesis and vasculogenesis. Expression of this receptor is found in vascular endothelial cells, placental trophoblast cells and peripheral blood monocytes. Multiple transcript variants encoding different isoforms have been found for this gene. Isoforms include a full-length transmembrane receptor isoform and shortened, soluble isoforms. The soluble isoforms are associated with the onset of pre-eclampsia.[provided by RefSeq, May 2009].

Isoforms & Proteins

5 transcripts · UniProt mapping is sequence-verified (AA-safe)

About the isoform mapping
Isoforms & Proteins

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.

TranscriptUniProtMutationsPeptides
ENST00000282397 P17948 1,008 684
ENST00000541932 P17948-3 524 356
ENST00000615840 P17948-2 481 329
ENST00000639477 A0A1W2PNW4* 473 322
ENST00000539099 P17948-4 384 261

Gene Properties

Type
Protein Coding
Chromosome
13
Cytoband
13q12.3
Entrez ID
Aliases
FLTFLT-1VEGFR-1VEGFR1

Recurrent Mutations

All 684 amino-acid changes on canonical ENST00000282397 · needle height = samples · drag the mini-map to zoom

What this lollipop shows
Recurrent Mutations

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 FLT1 · cell line vs tissue

How this frequency is counted
Cancer-type mutation frequency

For each cancer type, the fraction of samples that carry at least one missense/complex mutation anywhere in FLT1 – 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 typeCell linesTissue samples
T-Cell Non-Hodgkins Lymphoma
3/26 12%
0/0 0%
Endometrial Carcinoma
9/42 21%
43/612 7%
Melanoma
9/210 4%
146/1899 8%
T-Lymphoblastic Leukemia
2/40 5%
0/0 0%
Glioblastoma
4/98 4%
0/0 0%
Chronic Myelogenous Leukemia
1/25 4%
0/0 0%
Squamous Cell Lung Carcinoma
2/57 4%
32/810 4%
Non-Small Cell Lung Carcinoma
11/304 4%
51/1390 4%
Colorectal Carcinoma
18/143 13%
85/3239 3%
Small Cell Lung Carcinoma
0/9 0%
22/752 3%
Other Solid Cancers
3/94 3%
43/1515 3%
Gastric Carcinoma
2/74 3%
48/1809 3%
Osteosarcoma
4/45 9%
1/166 1%
Ovarian Carcinoma
7/109 6%
18/998 2%
Neuroendocrine Tumour
7/154 5%
8/577 1%
Bladder Carcinoma
3/58 5%
17/956 2%
Oral Cavity Carcinoma
1/54 2%
0/0 0%
Other Sarcomas
3/69 4%
11/699 2%
Cervical Carcinoma
0/35 0%
8/422 2%
Glioma
2/52 4%
30/2127 1%
Hepatocellular Carcinoma
3/46 7%
29/2210 1%
Thyroid Gland Carcinoma
0/45 0%
23/1592 1%
Burkitts Lymphoma
3/32 9%
0/196 0%
Head and Neck Carcinoma
1/85 1%
19/1574 1%
Non-Cancerous
1/104 1%
10/830 1%
Acute Myeloid Leukemia
1/90 1%
0/0 0%
Germ Cell Tumour
0/25 0%
2/169 1%
Breast Carcinoma
11/144 8%
24/3264 1%
Biliary Tract Carcinoma
1/54 2%
9/950 1%
Kidney Carcinoma
1/85 1%
17/1862 1%

Mutation Distribution

Where FLT1 is mutated · all tissues, split by cell line vs tissue

Mutation counts by tissue
Mutation Distribution

How many mutations in FLT1 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

GTEx Portal ↗
About the expression data
GTEx Expression

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 2,870 mutations in FLT1

About the mutation list
Mutations

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.

IDSampleTranscriptAA Change CDSTypeSourceMutant PeptideWild-type Peptide