OVSAHOHomo sapiens (Human)Cancer cell line

🤖 AI SummaryBased on 14 publications

Quick Overview

OVSAHO is a human ovarian cancer cell line derived from serous papillary adenocarcinoma, used for research on cancer biology an...

Detailed Summary

OVSAHO is a human ovarian cancer cell line established from a serous papillary adenocarcinoma. It is widely used in cancer research to study the molecular mechanisms of ovarian cancer, including genetic and epigenetic alterations, and to test the efficacy of potential therapeutic agents. The cell line has been utilized in studies involving genomic profiling, drug sensitivity assays, and investigations into the role of specific genes such as CTGF and TP53 in cancer progression. OVSAHO is also part of comprehensive cell line databases and has been analyzed for its response to various treatments, contributing to the understanding of ovarian cancer heterogeneity and treatment resistance.

Research Applications

Genomic profilingDrug sensitivity assaysMolecular mechanism studiesEpigenetic alterations analysisCancer biology research

Key Characteristics

Expresses CTGFTP53 mutationsUsed in drug development studies
Generated on 6/19/2025

Basic Information

Database IDCVCL_3114
SpeciesHomo sapiens (Human)
Tissue SourceAbdomen[UBERON:UBERON_0000916]

Donor Information

Age56
Age CategoryAdult
SexFemale
Raceasian

Disease Information

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

DepMap Information

Source TypeHSRRB
Source IDACH-000409_source

Known Sequence Variations

TypeGene/ProteinDescriptionZygosityNoteSource
MutationSimpleTP53p.Arg342Ter (c.1024C>T)Homozygous-PubMed=29970484

Haplotype Information (STR Profile)

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

Amelogenin
X
CSF1PO
10,12
D13S317
8
D16S539
9
D18S51
16,20
D21S11
31
D3S1358
15
D5S818
12,13
D7S820
8,10
D8S1179
11,14
FGA
24
Penta D
9
Penta E
15
TH01
6
TPOX
8,11
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

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).

Quantitative proteomics of the Cancer Cell Line Encyclopedia.";

Sellers W.R., Gygi S.P.

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

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).

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).

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).

Data for identification of GPI-anchored peptides and omega-sites in cancer cell lines.

Masuishi Y., Kimura Y., Arakawa N., Hirano H.

Data Brief 7:1302-1305(2016).

Identification of glycosylphosphatidylinositol-anchored proteins and omega-sites using TiO2-based affinity purification followed by hydrogen fluoride treatment.

Masuishi Y., Kimura Y., Arakawa N., Hirano H.

J. Proteomics 139:77-83(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).

Web Resources