COV318Homo sapiens (Human)Cancer cell line

Also known as: COV-318, Cov318

🤖 AI SummaryBased on 12 publications

Quick Overview

Human ovarian cancer cell line with high-grade serous carcinoma characteristics.

Detailed Summary

COV318 is a human ovarian cancer cell line derived from high-grade serous carcinoma (HGSC), a common and aggressive subtype of ovarian cancer. It is widely used in research for studying the molecular mechanisms of HGSC and evaluating therapeutic strategies. The cell line exhibits genomic instability and mutations in key oncogenes, making it a valuable model for preclinical studies. COV318 has been utilized in studies involving drug sensitivity profiling, proteomic analysis, and identification of biomarkers for cancer progression. Its characteristics make it suitable for investigating the genetic and epigenetic alterations associated with HGSC.

Research Applications

Genomic profilingDrug sensitivity testingProteomic analysisBiomarker discovery

Key Characteristics

Genomic instabilityTP53 mutationsHigh-grade serous carcinoma origin
Generated on 6/18/2025

Basic Information

Database IDCVCL_2419
SpeciesHomo sapiens (Human)
Tissue SourceAscites[UBERON:UBERON_0007795]

Donor Information

Age CategoryUnknown
SexFemale

Disease Information

DiseaseHigh grade ovarian serous adenocarcinoma
LineageOvary/Fallopian Tube
SubtypeHigh-Grade Serous Ovarian Cancer
OncoTree CodeHGSOC

DepMap Information

Source TypeECACC
Source IDACH-000256_source

Known Sequence Variations

TypeGene/ProteinDescriptionZygosityNoteSource
MutationSimpleTP53p.Ile195Phe (c.583A>T)Unspecified-PubMed=12872257

Haplotype Information (STR Profile)

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

Amelogenin
X
CSF1PO
11,13
D13S317
14
D16S539
9,12
D18S51
12
D19S433
13.2
D21S11
30
D2S1338
17,27
D3S1358
14,16
D5S818
11,13
D7S820
9
D8S1179
12,13
FGA
20,23
Penta D
10
Penta E
7
TH01
9.3
TPOX
8,11
vWA
15
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

Identification of ovarian high-grade serous carcinoma cell lines that show estrogen-sensitive growth as xenografts in immunocompromised mice.

Herodek B., Arteagabeitia A.B., Valenti M., Kirkin V.

Sci. Rep. 10:10799-10799(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).

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

Velculescu V.E., Scharpf R.B.

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

Interrogation of functional cell-surface markers identifies CD151 dependency in high-grade serous ovarian cancer.

Drapkin R.I., Ailles L., Mes-Masson A.-M., Rottapel R.

Cell Rep. 18:2343-2358(2017).

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

Liang H.

Cancer Cell 31:225-239(2017).

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).

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).

Ovarian cancer cell line panel (OCCP): clinical importance of in vitro morphological subtypes.

Helleman J.

PLoS ONE 9:E103988-E103988(2014).

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).

Establishment and characterization of 7 ovarian carcinoma cell lines and one granulosa tumor cell line: growth features and cytogenetics.

Cornelisse C.J., Schrier P.I.

Int. J. Cancer 53:613-620(1993).

Web Resources