EFE-184Homo sapiens (Human)Cancer cell line

Also known as: EFE184

🤖 AI SummaryBased on 6 publications

Quick Overview

Human cancer cell line for research on genetic and drug response studies.

Detailed Summary

EFE-184 is a human cancer cell line derived from an unspecified tissue and disease. It is used in research to study genetic mutations and their impact on drug sensitivity. The cell line is part of large-scale studies aiming to understand the relationship between cancer genomics and therapeutic responses. It has been utilized in projects like the Cancer Cell Line Encyclopedia (CCLE) to analyze genomic data and drug sensitivity profiles. The cell line's characteristics are part of efforts to improve cancer treatment strategies through personalized medicine approaches.

Research Applications

Genomic and drug response studiesCancer genomics and therapeutic response analysisPersonalized medicine research

Key Characteristics

Part of the Cancer Cell Line Encyclopedia (CCLE)Used in studies of drug sensitivity and genetic mutations
Generated on 6/16/2025

Basic Information

Database IDCVCL_1191
SpeciesHomo sapiens (Human)
Tissue SourceAscites[UBERON:UBERON_0007795]

Donor Information

Age69
Age CategoryAdult
SexFemale
Racecaucasian

Disease Information

DiseaseEndometrial carcinoma
LineageUterus
SubtypeEndometrial Carcinoma
OncoTree CodeUCEC

DepMap Information

Source TypeDSMZ
Source IDACH-000435_source

Known Sequence Variations

TypeGene/ProteinDescriptionZygosityNoteSource
MutationSimpleTP53p.Arg282Trp (c.844C>T)Unspecified-PubMed=21173094, PubMed=1373872
MutationNone reportedPTEN---PubMed=20944090

Haplotype Information (STR Profile)

Short Tandem Repeat (STR) profile for cell line authentication.

Amelogenin
X
CSF1PO
10,12
D13S317
13
D16S539
12
D18S51
12,18
D19S433
14
D21S11
30,33.2
D2S1338
18,20
D3S1358
14,17
D5S818
11,13
D7S820
10,11
D8S1179
11,13
FGA
21
Penta D
10,13
Penta E
16
TH01
9.3
TPOX
8,11
vWA
15,16
Gene Expression Profile
Gene expression levels and statistical distribution
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Full DepMap dataset with combined data across cell lines

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Publications

Comprehensive transcriptomic analysis of cell lines as models of primary tumors across 22 tumor types.

van 't Veer L.J., Butte A.J., Goldstein T., Sirota M.

Nat. Commun. 10:3574.1-3574.11(2019).

Next-generation characterization of the Cancer Cell Line Encyclopedia.

Sellers W.R.

Nature 569:503-508(2019).

An interactive resource to probe genetic diversity and estimated ancestry in cancer cell lines.

Dutil J., Chen Z.-H., Monteiro A.N.A., Teer J.K., Eschrich S.A.

Cancer Res. 79:1263-1273(2019).

Characterization of human cancer cell lines by reverse-phase protein arrays.

Liang H.

Cancer Cell 31:225-239(2017).

TCLP: an online cancer cell line catalogue integrating HLA type, predicted neo-epitopes, virus and gene expression.

Loewer M., Sahin U., Castle J.C.

Genome Med. 7:118.1-118.7(2015).

Parallel genome-scale loss of function screens in 216 cancer cell lines for the identification of context-specific genetic dependencies.

Golub T.R., Root D.E., Hahn W.C.

Sci. Data 1:140035-140035(2014).

A resource for cell line authentication, annotation and quality control.

Neve R.M.

Nature 520:307-311(2015).

The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.

Morrissey M.P., Sellers W.R., Schlegel R., Garraway L.A.

Nature 483:603-607(2012).

PTEN deficiency in endometrioid endometrial adenocarcinomas predicts sensitivity to PARP inhibitors.

Lord C.J., Ashworth A., Reis-Filho J.S.

Sci. Transl. Med. 2:53ra75.1-53ra75.8(2010).

Signatures of mutation and selection in the cancer genome.";

Deloukas P., Yang F.-T., Campbell P.J., Futreal P.A., Stratton M.R.

Nature 463:893-898(2010).

Web Resources