EFM-19Homo sapiens (Human)Cancer cell line

Also known as: EFM19

🤖 AI SummaryBased on 11 publications

Quick Overview

Human breast cancer cell line with known mutations and drug sensitivity profiles.

Detailed Summary

EFM-19 is a human breast cancer cell line derived from metastatic sites, characterized by specific genetic mutations and drug sensitivity profiles. It is used in research to study cancer biology, drug response, and molecular mechanisms. The cell line has been analyzed for its genomic and proteomic features, contributing to understanding of cancer progression and therapeutic strategies. EFM-19 is part of several large-scale studies, including the Cancer Cell Line Encyclopedia (CCLE) and other genomic projects, providing valuable data for cancer research.

Research Applications

Cancer biology researchDrug sensitivity profilingGenomic and proteomic analysisTherapeutic strategy development

Key Characteristics

Known mutations in cancer-related genesDrug sensitivity profilesPart of large-scale genomic studies
Generated on 6/15/2025

Basic Information

Database IDCVCL_0253
SpeciesHomo sapiens (Human)
Tissue SourcePleural effusion[UBERON:UBERON_0000175]

Donor Information

Age50
Age CategoryAdult
SexFemale
Racecaucasian
Subtype Featuresluminal ER+, PR+, HER2+

Disease Information

DiseaseBreast ductal carcinoma
LineageBreast
SubtypeBreast Invasive Ductal Carcinoma
OncoTree CodeIDC

DepMap Information

Source TypeDSMZ
Source IDACH-000330_source

Known Sequence Variations

TypeGene/ProteinDescriptionZygosityNoteSource
MutationSimpleTP53p.His193Arg (c.578A>G)UnspecifiedSomatic mutation acquired during proliferationPubMed=28445466
MutationSimplePIK3CAp.His1047Leu (c.3140A>T)Unspecified-PubMed=32576280

Haplotype Information (STR Profile)

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

Amelogenin
X
CSF1PO
9
D13S317
8,12
D16S539
11,12
D18S51
13
D19S433
12,14
D21S11
27,28
D2S1338
19,20
D3S1358
18
D5S818
11
D7S820
9
D8S1179
13,14
FGA
22
Penta D
9,13
Penta E
13,14
TH01
7,8
TPOX
8,12
vWA
14
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

Pan-cancer proteomic map of 949 human cell lines.";

Robinson P.J., Zhong Q., Garnett M.J., Reddel R.R.

Cancer Cell 40:835-849.e8(2022).

Quantitative proteomics of the Cancer Cell Line Encyclopedia.";

Sellers W.R., Gygi S.P.

Cell 180:387-402.e16(2020).

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).

A landscape of pharmacogenomic interactions in cancer.";

Wessels L.F.A., Saez-Rodriguez J., McDermott U., Garnett M.J.

Cell 166:740-754(2016).

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).

A comprehensive transcriptional portrait of human cancer cell lines.

Settleman J., Seshagiri S., Zhang Z.-M.

Nat. Biotechnol. 33:306-312(2015).

Modeling precision treatment of breast cancer.";

Collisson E.A., van 't Veer L.J., Spellman P.T., Gray J.W.

Genome Biol. 14:R110.1-R110.14(2013).

Essential gene profiles in breast, pancreatic, and ovarian cancer cells.

Rottapel R., Neel B.G., Moffat J.

Cancer Discov. 2:172-189(2012).

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).

A genome-wide screen for microdeletions reveals disruption of polarity complex genes in diverse human cancers.

Haber D.A.

Cancer Res. 70:2158-2164(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).

Molecular profiling of breast cancer cell lines defines relevant tumor models and provides a resource for cancer gene discovery.

Pollack J.R.

PLoS ONE 4:E6146-E6146(2009).

Comparative genomic hybridization analysis of 38 breast cancer cell lines: a basis for interpreting complementary DNA microarray data.

Gooden G.C., Ethier S.P., Kallioniemi A.H., Kallioniemi O.-P.

Cancer Res. 60:4519-4525(2000).

In vitro growth promotion of human mammary carcinoma cells by steroid hormones, tamoxifen, and prolactin.

Simon W.E., Albrecht M., Trams G., Dietel M., Holzel F.

J. Natl. Cancer Inst. 73:313-321(1984).

Cell lines from human breast.";

Leibovitz A.

(In book chapter) Atlas of human tumor cell lines; Hay R.J., Park J.-G., Gazdar A.F. (eds.); pp.161-184; Academic Press; New York; USA (1994).