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OVKATEHomo sapiens (Human)Cancer cell line

🤖 AI SummaryBased on 11 publications

Quick Overview

OVKATE is a human ovarian cancer cell line used in research for understanding cancer biology and drug development.

Detailed Summary

OVKATE is a human ovarian cancer cell line derived from a serous papillary adenocarcinoma. It is widely used in cancer research to study molecular mechanisms, drug responses, and genetic alterations associated with ovarian cancer. The cell line has been characterized for its genomic and epigenetic features, including promoter hypermethylation of the CTGF gene and its role in tumorigenesis. OVKATE is also utilized in studies evaluating the effectiveness of targeted therapies and in understanding the heterogeneity of ovarian cancer. Its use in proteomic and transcriptomic analyses provides insights into the functional and molecular profiles of ovarian cancer cells.

Research Applications

Genomic and epigenetic studiesDrug sensitivity and resistance profilingProteomic and transcriptomic analysisMolecular mechanisms of tumorigenesis

Key Characteristics

Promoter hypermethylation of CTGF geneGenomic instability and copy number variationsExpression of specific biomarkers for ovarian cancerResponse to targeted therapies

Generated on 6/19/2025

Basic Information

Database ID	CVCL_3110
Species	Homo sapiens (Human)
Tissue Source	Ovary[UBERON:UBERON_0000992]

Donor Information

Age	40
Age Category	Adult
Sex	Female
Race	asian

Disease Information

Disease	High grade ovarian serous adenocarcinoma
Lineage	Ovary/Fallopian Tube
Subtype	High-Grade Serous Ovarian Cancer
OncoTree Code	HGSOC

DepMap Information

Source Type	HSRRB
Source ID	ACH-000443_source

Known Sequence Variations

Type	Gene/Protein	Description	Zygosity	Note	Source
MutationSimple	TP53	p.Arg282Trp (c.844C>T)	Unspecified	-	PubMed=21173094, PubMed=1373872
MutationSimple	MTOR	p.Thr1834_Thr1837delThrAlaAlaThr (c.5490_5501delGTGGTGGCGGCA)	Heterozygous	-	Unknown, Unknown

Haplotype Information (STR Profile)

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

Amelogenin

X

CSF1PO

12

D13S317

12

D16S539

9

D18S51

12

D19S433

14,15.2

D21S11

30,33.2

D2S1338

18,23

D3S1358

18

D5S818

9,13

D7S820

11,12

D8S1179

11

FGA

19

Penta D

9,13

Penta E

5,11

TH01

9

TPOX

8,11

vWA

18

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).

Integrated genomic, epigenomic, and expression analyses of ovarian cancer cell lines.

Velculescu V.E., Scharpf R.B.

Cell Rep. 25:2617-2633(2018).

Integrative proteomic profiling of ovarian cancer cell lines reveals precursor cell associated proteins and functional status.

Tyanova S., Montag A., Lastra R.R., Lengyel E., Mann M.

Nat. Commun. 7:12645.1-12645.14(2016).

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 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).

Evaluating cell lines as tumour models by comparison of genomic profiles.

Domcke S., Sinha R., Levine D.A., Sander C., Schultz N.

Nat. Commun. 4:2126.1-2126.10(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).

Promoter hypermethylation contributes to frequent inactivation of a putative conditional tumor suppressor gene connective tissue growth factor in ovarian cancer.

Hirohashi S., Inazawa J., Imoto I.

Cancer Res. 67:7095-7105(2007).

Evidence that both genetic instability and selection contribute to the accumulation of chromosome alterations in cancer.

Edwards P.A.W., Caldas C.

Carcinogenesis 26:923-930(2005).

Cyclophosphamide and 5-fluorouracil act synergistically in ovarian clear cell adenocarcinoma cells.

Hirahara F., Shirotake S.

Cancer Lett. 162:39-48(2001).

Complexity of expression of the intermediate filaments of six new human ovarian carcinoma cell lines: new expression of cytokeratin 20.

Kitamura H., Minaguchi H.

Br. J. Cancer 76:829-835(1997).

Testing ovarian cancer cell lines to train dogs to detect ovarian cancer from blood plasma: a pilot study.

Drapkin R.I., Otto C.M.

J. Vet. Behav. 32:42-48(2019).

Anecdotal Information

Dogs were trained to recognize the odor of this cell line so as to later detect ovarian cancer from blood samples (DOI=10.1016/j.jveb.2019.04.010)