COV362Homo sapiens (Human)Cancer cell line

Also known as: COV-362, Cov362

🤖 AI SummaryBased on 8 publications

Quick Overview

Ovarian cancer cell line with potential for HGSOC research

Detailed Summary

COV362 is an ovarian cancer cell line that has been identified as a potential model for high-grade serous ovarian cancer (HGSOC). It exhibits characteristics that align with HGSOC, including specific genetic mutations and expression profiles. Research suggests that COV362 may be more representative of HGSOC compared to other commonly used cell lines, making it a valuable tool for studying this aggressive cancer subtype. Its suitability as a model for HGSOC is supported by genomic and expression data, indicating its potential for drug sensitivity studies and molecular profiling.

Research Applications

High-grade serous ovarian cancer (HGSOC) researchGenomic and molecular profilingDrug sensitivity studies

Key Characteristics

Potential HGSOC modelGenetic mutations associated with HGSOCExpression profiles consistent with HGSOC

Generated on 6/18/2025

Basic Information

Database ID	CVCL_2420
Species	Homo sapiens (Human)
Tissue Source	Pleural effusion[UBERON:UBERON_0000175]

Donor Information

Age Category	Unknown
Sex	Female

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	ECACC
Source ID	ACH-000278_source

Known Sequence Variations

Type	Gene/Protein	Description	Zygosity	Note	Source
MutationSimple	TP53	p.Tyr220Cys (c.659A>G)	Unspecified	-	PubMed=21173094
MutationSimple	BRCA1	c.4095+1G>T	Homozygous	Splice donor mutation	PubMed=25230021
MutationSimple	BRCA1	p.Pro871fs (c.2611_2612ins1)	Homozygous	-	PubMed=25230021

Haplotype Information (STR Profile)

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

Amelogenin

CSF1PO

11,12

D13S317

D16S539

D18S51

D19S433

D21S11

31,32.2

D2S1338

24,25

D3S1358

16,18

D5S818

D7S820

10,14

D8S1179

FGA

23,24

Penta D

Penta E

7,11

TH01

9.3

TPOX

vWA

15,18

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

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).

DOI PubMed PMC

Quantitative proteomics of the Cancer Cell Line Encyclopedia.";

Sellers W.R., Gygi S.P.

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

DOI PubMed PMC

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).

DOI PubMed PMC

Next-generation characterization of the Cancer Cell Line Encyclopedia.

Sellers W.R.

Nature 569:503-508(2019).

DOI PubMed PMC

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).

DOI PubMed PMC

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).

DOI PubMed PMC

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).

DOI PubMed PMC

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

Neve R.M.

Nature 520:307-311(2015).

DOI PubMed

A comprehensive transcriptional portrait of human cancer cell lines.

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

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

DOI PubMed

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

Helleman J.

PLoS ONE 9:E103988-E103988(2014).

DOI PubMed PMC

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).

DOI PubMed PMC

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).

DOI PubMed PMC

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).

DOI PubMed