Cellosaurus OVCAR-5 (CVCL_1628)

Cell line name OVCAR-5
Synonyms NIH:OVCAR-5; OVCAR.5; OVCAR5; Ovcar5; OVCA5
Accession CVCL_1628
Resource Identification Initiative To cite this cell line use: OVCAR-5 (RRID:CVCL_1628)
Comments Problematic cell line: Misidentified. Originally thought to be a high grade ovarian serous adenocarcinoma but suspected to have a upper gastrointestinal origin (PubMed=27353327).
Part of: JFCR39 cancer cell line panel.
Part of: KuDOS 95 cell line panel.
Part of: MD Anderson Cell Lines Project.
Part of: NCI60 cancer cell line panel.
Doubling time: 48.8 hours (NCI-DTP).
Microsatellite instability: Stable (MSS) (Sanger).
Sequence variation: Homozygous for KRAS p.Gly12Val (PubMed=17088437).
Omics: Array-based CGH.
Omics: CNV analysis.
Omics: Deep exome analysis.
Omics: Deep proteome analysis.
Omics: Deep RNAseq analysis.
Omics: DNA methylation analysis.
Omics: Exosome proteome analysis.
Omics: Fluorescence phenotype profiling.
Omics: lncRNA expression profiling.
Omics: Metabolome analysis.
Omics: Protein expression by reverse-phase protein arrays.
Omics: SNP array analysis.
Omics: Transcriptome analysis.
Disease High grade ovarian serous adenocarcinoma (NCIt: C105555)
Species of origin Homo sapiens (Human) (NCBI Taxonomy: 9606)
Hierarchy Children: CVCL_JY85 (OVCAR-5/RFP)
Sex of cell Female
Category Cancer cell line
STR profile Source(s): Cosmic-CLP; PubMed=19372543; PubMed=25877200

Markers:
AmelogeninX
CSF1PO10
D13S31710,13
D16S53911
D18S5112
D19S43313,14
D21S1131
D2S133817,23
D3S135815,16
D5S81811,13
D7S82010
D8S117913,14
FGA23
Penta D12
Penta E9,16
TH017,9.3
TPOX8,11
vWA16
Web pages https://dtp.cancer.gov/discovery_development/nci-60/cell_list.htm
https://strap.nci.nih.gov/celline_detail.php?sample_id=24
http://colt.ccbr.utoronto.ca/cancer/get_cellline.pl?cellline=OVCA5
http://tcpaportal.org/mclp/
Publications

PubMed=2307530; DOI=10.1002/ijc.2910450306
Schilder R.J., Hall L., Monks A., Handel L.M., Fornace A.J. Jr., Ozols R.F., Fojo A.T., Hamilton T.C.
Metallothionein gene expression and resistance to cisplatin in human ovarian cancer.
Int. J. Cancer 45:416-422(1990)

PubMed=2041050; DOI=10.1093/jnci/83.11.757
Monks A., Scudiero D.A., Skehan P., Shoemaker R.H., Paull K., Vistica D.T., Hose C., Langley J., Cronise P., Vaigro-Wolff A., Gray-Goodrich M., Campbell H., Mayo J., Boyd M.
Feasibility of a high-flux anticancer drug screen using a diverse panel of cultured human tumor cell lines.
J. Natl. Cancer Inst. 83:757-766(1991)

PubMed=9041185
Johnson S.W., Laub P.B., Beesley J.S., Ozols R.F., Hamilton T.C.
Increased platinum-DNA damage tolerance is associated with cisplatin resistance and cross-resistance to various chemotherapeutic agents in unrelated human ovarian cancer cell lines.
Cancer Res. 57:850-856(1997)

PubMed=10700174; DOI=10.1038/73432
Ross D.T., Scherf U., Eisen M.B., Perou C.M., Rees C., Spellman P., Iyer V., Jeffrey S.S., Van de Rijn M., Waltham M., Pergamenschikov A., Lee J.C.F., Lashkari D., Shalon D., Myers T.G., Weinstein J.N., Botstein D., Brown P.O.
Systematic variation in gene expression patterns in human cancer cell lines.
Nat. Genet. 24:227-235(2000)

PubMed=12417041; DOI=10.1111/j.1349-7006.2002.tb01213.x
Watanabe T., Imoto I., Katahira T., Hirasawa A., Ishiwata I., Emi M., Takayama M., Sato A., Inazawa J.
Differentially regulated genes as putative targets of amplifications at 20q in ovarian cancers.
Jpn. J. Cancer Res. 93:1114-1122(2002)

PubMed=12960427; DOI=10.1091/mbc.E03-05-0279
Schaner M.E., Ross D.T., Ciaravino G., Sorlie T., Troyanskaya O., Diehn M., Wang Y.C., Duran G.E., Sikic T.L., Caldeira S., Skomedal H., Tu I.-P., Hernandez-Boussard T., Johnson S.W., O'Dwyer P.J., Fero M.J., Kristensen G.B., Borresen-Dale A.-L., Hastie T., Tibshirani R., van de Rijn M., Teng N.N.H., Longacre T.A., Botstein D., Brown P.O., Sikic B.I.
Gene expression patterns in ovarian carcinomas.
Mol. Biol. Cell 14:4376-4386(2003)

PubMed=17088437; DOI=10.1158/1535-7163.MCT-06-0433
Ikediobi O.N., Davies H., Bignell G.R., Edkins S., Stevens C., O'Meara S., Santarius T., Avis T., Barthorpe S., Brackenbury L., Buck G., Butler A., Clements J., Cole J., Dicks E., Forbes S., Gray K., Halliday K., Harrison R., Hills K., Hinton J., Hunter C., Jenkinson A., Jones D., Kosmidou V., Lugg R., Menzies A., Mironenko T., Parker A., Perry J., Raine K., Richardson D., Shepherd R., Small A., Smith R., Solomon H., Stephens P., Teague J.W., Tofts C., Varian J., Webb T., West S., Widaa S., Yates A., Reinhold W.C., Weinstein J.N., Stratton M.R., Futreal P.A., Wooster R.
Mutation analysis of 24 known cancer genes in the NCI-60 cell line set.
Mol. Cancer Ther. 5:2606-2612(2006)

PubMed=19372543; DOI=10.1158/1535-7163.MCT-08-0921
Lorenzi P.L., Reinhold W.C., Varma S., Hutchinson A.A., Pommier Y., Chanock S.J., Weinstein J.N.
DNA fingerprinting of the NCI-60 cell line panel.
Mol. Cancer Ther. 8:713-724(2009)

PubMed=22328975; DOI=10.1158/2159-8290.CD-11-0170
Hanrahan A.J., Schultz N., Westfal M.L., Sakr R.A., Giri D.D., Scarperi S., Janakiraman M., Olvera N., Stevens E.V., She Q.-B., Aghajanian C., King T.A., de Stanchina E., Spriggs D.R., Heguy A., Taylor B.S., Sander C., Rosen N., Levine D.A., Solit D.B.
Genomic complexity and AKT dependence in serous ovarian cancer.
Cancer Discov. 2:56-67(2012)

PubMed=22336246; DOI=10.1016/j.bmc.2012.01.017
Kong D., Yamori T.
JFCR39, a panel of 39 human cancer cell lines, and its application in the discovery and development of anticancer drugs.
Bioorg. Med. Chem. 20:1947-1951(2012)

PubMed=22384151; DOI=10.1371/journal.pone.0032096
Lee J.-S., Kim Y.K., Kim H.J., Hajar S., Tan Y.L., Kang N.-Y., Ng S.H., Yoon C.N., Chang Y.-T.
Identification of cancer cell-line origins using fluorescence image-based phenomic screening.
PLoS ONE 7:E32096-E32096(2012)

PubMed=22628656; DOI=10.1126/science.1218595
Jain M., Nilsson R., Sharma S., Madhusudhan N., Kitami T., Souza A.L., Kafri R., Kirschner M.W., Clish C.B., Mootha V.K.
Metabolite profiling identifies a key role for glycine in rapid cancer cell proliferation.
Science 336:1040-1044(2012)

PubMed=22710073; DOI=10.1016/j.ygyno.2012.06.017
Korch C., Spillman M.A., Jackson T.A., Jacobsen B.M., Murphy S.K., Lessey B.A., Jordan V.C., Bradford A.P.
DNA profiling analysis of endometrial and ovarian cell lines reveals misidentification, redundancy and contamination.
Gynecol. Oncol. 127:241-248(2012)

PubMed=23415752; DOI=10.1016/j.molonc.2012.12.007
Stordal B., Timms K., Farrelly A., Gallagher D., Busschots S., Renaud M., Thery J., Williams D., Potter J., Tran T., Korpanty G., Cremona M., Carey M., Li J., Li Y., Aslan O., O'Leary J.J., Mills G.B., Hennessy B.T.
BRCA1/2 mutation analysis in 41 ovarian cell lines reveals only one functionally deleterious BRCA1 mutation.
Mol. Oncol. 7:567-579(2013)

PubMed=23856246; DOI=10.1158/0008-5472.CAN-12-3342
Abaan O.D., Polley E.C., Davis S.R., Zhu Y.J., Bilke S., Walker R.L., Pineda M., Gindin Y., Jiang Y., Reinhold W.C., Holbeck S.L., Simon R.M., Doroshow J.H., Pommier Y., Meltzer P.S.
The exomes of the NCI-60 panel: a genomic resource for cancer biology and systems pharmacology.
Cancer Res. 73:4372-4382(2013)

PubMed=23933261; DOI=10.1016/j.celrep.2013.07.018
Moghaddas Gholami A., Hahne H., Wu Z., Auer F.J., Meng C., Wilhelm M., Kuster B.
Global proteome analysis of the NCI-60 cell line panel.
Cell Rep. 4:609-620(2013)

PubMed=24023729; DOI=10.1371/journal.pone.0072162
Anglesio M.S., Wiegand K.C., Melnyk N., Chow C., Salamanca C.M., Prentice L.M., Senz J., Yang W., Spillman M.A., Cochrane D.R., Shumansky K., Shah S.P., Kalloger S.E., Huntsman D.G.
Type-specific cell line models for type-specific ovarian cancer research.
PLoS ONE 8:E72162-E72162(2013)

PubMed=24279929; DOI=10.1186/2049-3002-1-20
Dolfi S.C., Chan L.L.-Y., Qiu J., Tedeschi P.M., Bertino J.R., Hirshfield K.M., Oltvai Z.N., Vazquez A.
The metabolic demands of cancer cells are coupled to their size and protein synthesis rates.
Cancer Metab. 1:20-20(2013)

PubMed=24434149; DOI=10.1016/j.bbrc.2013.12.070
Sinha A., Ignatchenko V., Ignatchenko A., Mejia-Guerrero S., Kislinger T.
In-depth proteomic analyses of ovarian cancer cell line exosomes reveals differential enrichment of functional categories compared to the NCI 60 proteome.
Biochem. Biophys. Res. Commun. 445:694-701(2014)

PubMed=24670534; DOI=10.1371/journal.pone.0092047
Varma S., Pommier Y., Sunshine M., Weinstein J.N., Reinhold W.C.
High resolution copy number variation data in the NCI-60 cancer cell lines from whole genome microarrays accessible through CellMiner.
PLoS ONE 9:E92047-E92047(2014)

PubMed=25485619; DOI=10.1038/nbt.3080
Klijn C., Durinck S., Stawiski E.W., Haverty P.M., Jiang Z., Liu H., Degenhardt J., Mayba O., Gnad F., Liu J., Pau G., Reeder J., Cao Y., Mukhyala K., Selvaraj S.K., Yu M., Zynda G.J., Brauer M.J., Wu T.D., Gentleman R.C., Manning G., Yauch R.L., Bourgon R., Stokoe D., Modrusan Z., Neve R.M., de Sauvage F.J., Settleman J., Seshagiri S., Zhang Z.
A comprehensive transcriptional portrait of human cancer cell lines.
Nat. Biotechnol. 33:306-312(2015)

PubMed=27235858; DOI=10.1016/j.ygyno.2016.05.028
Hernandez L., Kim M.K., Lyle L.T., Bunch K.P., House C.D., Ning F., Noonan A.M., Annunziata C.M.
Characterization of ovarian cancer cell lines as in vivo models for preclinical studies.
Gynecol. Oncol. 142:332-340(2016)

PubMed=27353327; DOI=10.1093/nar/gkw578
Blayney J.K., Davison T., McCabe N., Walker S., Keating K., Delaney T., Greenan C., Williams A.R., McCluggage W.G., Capes-Davis A., Harkin D.P., Gourley C., Kennedy R.D.
Prior knowledge transfer across transcriptional data sets and technologies using compositional statistics yields new mislabelled ovarian cell line.
Nucleic Acids Res. 44:E137-E137(2016)

PubMed=27377824; DOI=10.1038/sdata.2016.52
Mestdagh P., Lefever S., Volders P.-J., Derveaux S., Hellemans J., Vandesompele J.
Long non-coding RNA expression profiling in the NCI60 cancer cell line panel using high-throughput RT-qPCR.
Sci. Data 3:160052-160052(2016)

PubMed=27397505; DOI=10.1016/j.cell.2016.06.017
Iorio F., Knijnenburg T.A., Vis D.J., Bignell G.R., Menden M.P., Schubert M., Aben N., Goncalves E., Barthorpe S., Lightfoot H., Cokelaer T., Greninger P., van Dyk E., Chang H., de Silva H., Heyn H., Deng X., Egan R.K., Liu Q., Mironenko T., Mitropoulos X., Richardson L., Wang J., Zhang T., Moran S., Sayols S., Soleimani M., Tamborero D., Lopez-Bigas N., Ross-Macdonald P., Esteller M., Gray N.S., Haber D.A., Stratton M.R., Benes C.H., Wessels L.F.A., Saez-Rodriguez J., McDermott U., Garnett M.J.
A landscape of pharmacogenomic interactions in cancer.
Cell 166:740-754(2016)

PubMed=27561551; DOI=10.1038/ncomms12645
Coscia F., Watters K.M., Curtis M., Eckert M.A., Chiang C.Y., Tyanova S., Montag A., Lastra R.R., Lengyel E., Mann M.
Integrative proteomic profiling of ovarian cancer cell lines reveals precursor cell associated proteins and functional status.
Nat. Commun. 7:12645-12645(2016)

PubMed=27807467; DOI=10.1186/s13100-016-0078-4
Zampella J.G., Rodic N., Yang W.R., Huang C.R.L., Welch J., Gnanakkan V.P., Cornish T.C., Boeke J.D., Burns K.H.
A map of mobile DNA insertions in the NCI-60 human cancer cell panel.
Mob. DNA 7:20-20(2016)

PubMed=28196595; DOI=10.1016/j.ccell.2017.01.005
Li J., Zhao W., Akbani R., Liu W., Ju Z., Ling S., Vellano C.P., Roebuck P., Yu Q., Eterovic A.K., Byers L.A., Davies M.A., Deng W., Gopal Y.N.V., Chen G., von Euw E.M., Slamon D.J., Conklin D., Heymach J.V., Gazdar A.F., Minna J.D., Myers J.N., Lu Y., Mills G.B., Liang H.
Characterization of human cancer cell lines by reverse-phase protein arrays.
Cancer Cell 31:225-239(2017)

Cross-references
Cell line collections NCI-DTP; OVCAR-5
Cell line databases/resources CLDB; cl3781
Cosmic-CLP; 905969
GDSC; 905969
SKY/M-FISH/CGH; 2818
Ontologies BTO; BTO:0001870
CLO; CLO_0008280
EFO; EFO_0005443
Biological sample resources BioSample; SAMN03472888
Chemistry resources ChEMBL-Cells; CHEMBL3307565
ChEMBL-Targets; CHEMBL614214
Gene expression databases GEO; GSM2126
GEO; GSM50221
GEO; GSM50285
GEO; GSM185139
GEO; GSM185140
GEO; GSM659394
GEO; GSM750830
GEO; GSM784573
GEO; GSM799365
GEO; GSM799428
GEO; GSM847108
GEO; GSM844671
GEO; GSM851936
GEO; GSM1153437
GEO; GSM1181280
GEO; GSM1181287
GEO; GSM1374802
GEO; GSM1670319
GEO; GSM2124678
Polymorphism and mutation databases Cosmic; 875861
Cosmic; 897435
Cosmic; 905969
Cosmic; 974297
Cosmic; 1044241
Cosmic; 1092625
Cosmic; 1102824
Cosmic; 1175885
Cosmic; 1305314
Cosmic; 1312356
Cosmic; 1436035
Cosmic; 1523763
Cosmic; 1707573
Cosmic; 1709255
Cosmic; 1995605
Cosmic; 1998467
Cosmic; 2186583