HCC1599Homo sapiens (Human)Cancer cell line

Also known as: Hamon Cancer Center 1599, HCC-1599

🤖 AI SummaryBased on 14 publications

Quick Overview

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

Detailed Summary

HCC1599 is a human breast cancer cell line derived from a pleural effusion. It is part of a panel of cell lines used to study breast cancer progression and drug response. The cell line has been characterized for its genomic and proteomic features, including mutations in key cancer genes and expression profiles. Research on HCC1599 has contributed to understanding the molecular mechanisms of breast cancer and identifying potential therapeutic targets. The cell line is utilized in studies related to tumor biology, drug screening, and personalized medicine.

Research Applications

Breast cancer researchDrug sensitivity profilingGenomic and proteomic analysisTumor progression studies

Key Characteristics

Mutations in cancer-related genesExpression profiles for drug responseUsed in high-throughput screening
Generated on 6/16/2025

Basic Information

Database IDCVCL_1256
SpeciesHomo sapiens (Human)
Tissue SourceBreast[UBERON:UBERON_0000310]

Donor Information

Age44
Age CategoryAdult
SexFemale
Racecaucasian
Subtype Featuresbasal_A TNBC

Disease Information

DiseaseBreast ductal carcinoma
LineageBreast
SubtypeBreast Invasive Ductal Carcinoma
OncoTree CodeIDC

DepMap Information

Source TypeATCC
Source IDACH-000196_source

Known Sequence Variations

TypeGene/ProteinDescriptionZygosityNoteSource
MutationSimpleTP53c.673-2A>T (IVS6-2A>T)UnspecifiedSplice acceptor mutationPubMed=11799138

Haplotype Information (STR Profile)

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

Amelogenin
X
CSF1PO
12
D13S317
11
D16S539
12,13
D18S51
19
D19S433
13,17
D21S11
29
D2S1338
17,25
D3S1358
15,17
D5S818
12
D7S820
10,11
D8S1179
13
FGA
24
Penta D
13
Penta E
13
TH01
9.3
TPOX
8
vWA
17
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).

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).

A catalog of HLA type, HLA expression, and neo-epitope candidates in human cancer cell lines.

Boegel S., Lower M., Bukur T., Sahin U., Castle J.C.

OncoImmunology 3:e954893.1-e954893.12(2014).

The proteomic landscape of triple-negative breast cancer.";

Irie H.Y., Lee S.-I., Blau C.A., Villen J.

Cell Rep. 11:630-644(2015).

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).

Glutamine sensitivity analysis identifies the xCT antiporter as a common triple-negative breast tumor therapeutic target.

McCormick F., Gray J.W.

Cancer Cell 24:450-465(2013).

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).

Proteomic portrait of human breast cancer progression identifies novel prognostic markers.

Geiger T., Madden S.F., Gallagher W.M., Cox J., Mann M.

Cancer Res. 72:2428-2439(2012).

Triple negative breast cancer cell lines: one tool in the search for better treatment of triple negative breast cancer.

Chavez K.J., Garimella S.V., Lipkowitz S.

Breast Dis. 32:35-48(2010).

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).

The genomic landscapes of human breast and colorectal cancers.";

Vogelstein B.

Science 318:1108-1113(2007).

The consensus coding sequences of human breast and colorectal cancers.

Vogelstein B., Kinzler K.W., Velculescu V.E.

Science 314:268-274(2006).

Searching for microsatellite mutations in coding regions in lung, breast, ovarian and colorectal cancers.

Minna J.D.

Oncogene 20:1005-1009(2001).

Characterization of paired tumor and non-tumor cell lines established from patients with breast cancer.

Tomlinson G.E., Tonk V., Ashfaq R., Leitch A.M., Minna J.D., Shay J.W.

Int. J. Cancer 78:766-774(1998).