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Cellosaurus MDA-MB-468 (CVCL_0419)

[Text version]
Cell line name MDA-MB-468
Synonyms MDA-MB 468; MDA-MB468; MDAMB468; MDA-468; MDA468; MB468; MD Anderson-Metastatic Breast-468
Accession CVCL_0419
Resource Identification Initiative To cite this cell line use: MDA-MB-468 (RRID:CVCL_0419)
Comments Group: Triple negative breast cancer (TNBC) cell line.
Part of: Cancer Dependency Map project (DepMap) (includes Cancer Cell Line Encyclopedia - CCLE).
Part of: COSMIC cell lines project.
Part of: EGFR genetic alteration cell panel (ATCC TCP-1027).
Part of: GrayJW breast cancer cell line panel.
Part of: ICBP43 breast cancer cell line panel.
Part of: KuDOS 95 cell line panel.
Part of: MD Anderson Cell Lines Project.
Part of: NCI-60 cancer cell line panel.
Population: African American.
Doubling time: 40.6 hours (PubMed=32576280); ~30-40 hours (DSMZ=ACC-738); 62 hours (NCI-DTP=MDA-MB-468); ~47 hours (PBCF); 79.76 hours (GrayJW panel).
Microsatellite instability: Stable (MSS) (PubMed=15677628; Sanger).
Omics: Array-based CGH.
Omics: CNV analysis.
Omics: CRISPR phenotypic screen.
Omics: Deep exome analysis.
Omics: Deep proteome analysis.
Omics: Deep quantitative proteome analysis.
Omics: DNA methylation analysis.
Omics: Fluorescence phenotype profiling.
Omics: Genome sequenced.
Omics: Glycoproteome analysis by proteomics.
Omics: H2BK120ub ChIP-seq epigenome analysis.
Omics: H3K23ac ChIP-seq epigenome analysis.
Omics: H3K27ac ChIP-seq epigenome analysis.
Omics: H3K27me3 ChIP-seq epigenome analysis.
Omics: H3K36me3 ChIP-seq epigenome analysis.
Omics: H3K4me1 ChIP-seq epigenome analysis.
Omics: H3K4me3 ChIP-seq epigenome analysis.
Omics: H3K79me2 ChIP-seq epigenome analysis.
Omics: H3K9ac ChIP-seq epigenome analysis.
Omics: H3K9me3 ChIP-seq epigenome analysis.
Omics: H4K8ac ChIP-seq epigenome analysis.
Omics: lncRNA expression profiling.
Omics: Metabolome analysis.
Omics: miRNA expression profiling.
Omics: Protein expression by reverse-phase protein arrays.
Omics: SNP array analysis.
Omics: Transcriptome analysis by microarray.
Omics: Transcriptome analysis by RNAseq.
Derived from site: Metastatic; Pleural effusion; UBERON=UBERON_0000175.
Sequence variations
  • Mutation; HGNC; 9588; PTEN; Simple; c.253+1G>T; ClinVar=VCV000189475; Zygosity=Homozygous; Note=Splice donor mutation (PubMed=19593635).
  • Mutation; HGNC; 9884; RB1; Simple; c.265_2787del2523; Zygosity=Homozygous (PubMed=19593635).
  • Mutation; HGNC; 11998; TP53; Simple; p.Arg273His (c.818G>A); ClinVar=VCV000012366; Zygosity=Homozygous (PubMed=1961733; PubMed=16541312; PubMed=28889351; ATCC).
HLA typing Source: PubMed=25960936
Class I
HLA-AA*23:01,30:02
HLA-BB*27:03,53:01
HLA-CC*02:02,04:01

Source: PubMed=26589293
Class I
HLA-AA*23:01,30:02
HLA-BB*27:03,53:01
HLA-CC*02:02,04:01
Class II
HLA-DQDQA1*02:01,05:02
DQB1*03:04,06:13
HLA-DRDRB1*04:03,13:100
Genome ancestry Source: PubMed=30894373

Origin% genome
African80.3
Native American0
East Asian, North6.19
East Asian, South0
South Asian0
European, North0
European, South13.51
Disease Breast adenocarcinoma (NCIt: C5214)
Species of origin Homo sapiens (Human) (NCBI Taxonomy: 9606)
Hierarchy Children:
CVCL_KS13 (CellSensor DBE-bla MDA-MB-468)CVCL_RA91 (MDA-MB-468 shPARG)CVCL_YJ27 (MDA-MB-468 shWDR12-4)
CVCL_C8XW (MDA-MB-468-Luc)CVCL_C9CF (MDA-MB-468/Cas9-hyg)CVCL_JZ00 (MDA-MB-468/GFP)
CVCL_DH83 (MDA-MB-468GFP)
Sex of cell Female
Age at sampling 51Y
Category Cancer cell line
STR profile Source(s): AddexBio; ATCC; CCRID; Cosmic-CLP; DSMZ; Genomics_Center_BCF_Technion; PubMed=25877200; PubMed=28889351

Markers:
AmelogeninX
CSF1PO12
D1S165611,14
D2S44112,14
D2S133817,25
D3S135815
D5S81812
D7S8208
D8S117913
D10S124813
D12S39118
D13S31712
D16S5399
D18S5117
D19S43312,13
D21S1127 (CCRID)
27,28 (DSMZ; Genomics_Center_BCF_Technion; PubMed=25877200; PubMed=28889351)
D22S104510
FGA23
Penta D8,10
Penta E5
TH017
TPOX8,9
vWA18

Run an STR similarity search on this cell line
Web pages https://en.wikipedia.org/wiki/MDA-MB-468
https://dtp.cancer.gov/discovery_development/nci-60/cell_list.htm
https://www.atcc.org/en/support/technical-support/faqs/htb-132-normal-growth-and-morphology
https://www.synapse.org/#!Synapse:syn31544498
https://www.cellosaurus.org/pawefish/BreastCellLineDescriptions/mda-mb-468.html
http://dpsc.ccbr.utoronto.ca/cancer/get_cellline.pl?cellline=MDA-MB-468
https://lincs.hms.harvard.edu/resources/reagents/icbp43/
https://www.thermofisher.com/ch/en/home/technical-resources/cell-lines/m/cell-lines-detail-53.html
https://www.synapse.org/#!Synapse:syn2346643/wiki/62255
https://tcpaportal.org/mclp/
Publications

PubMed=730202; DOI=10.1007/BF02616120
Cailleau R.M., Olive M., Cruciger Q.V.J.
Long-term human breast carcinoma cell lines of metastatic origin: preliminary characterization.
In Vitro 14:911-915(1978)

PubMed=3518877; DOI=10.3109/07357908609038260
Fogh J.
Human tumor lines for cancer research.
Cancer Invest. 4:157-184(1986)

PubMed=1961733; DOI=10.1073/pnas.88.23.10657
Runnebaum I.B., Nagarajan M., Bowman M., Soto D., Sukumar S.
Mutations in p53 as potential molecular markers for human breast cancer.
Proc. Natl. Acad. Sci. U.S.A. 88:10657-10661(1991)

DOI=10.1016/B978-0-12-333530-2.50009-5
Leibovitz A.
Cell lines from human breast.
(In) Atlas of human tumor cell lines; Hay R.J., Park J.-G., Gazdar A.F. (eds.); pp.161-184; Academic Press; New York (1994)

PubMed=9671407; DOI=10.1038/sj.onc.1201814
Sweeney K.J., Swarbrick A., Sutherland R.L., Musgrove E.A.
Lack of relationship between CDK activity and G1 cyclin expression in breast cancer cells.
Oncogene 16:2865-2878(1998)

PubMed=10969801
Forozan F., Mahlamaki E.H., Monni O., Chen Y.-D., Veldman R., Jiang Y., Gooden G.C., Ethier S.P., Kallioniemi A., Kallioniemi O.-P.
Comparative genomic hybridization analysis of 38 breast cancer cell lines: a basis for interpreting complementary DNA microarray data.
Cancer Res. 60:4519-4525(2000)

PubMed=11414198; DOI=10.1007/s004320000207
Lahm H., Andre S., Hoeflich A., Fischer J.R., Sordat B., Kaltner H., Wolf E., Gabius H.-J.
Comprehensive galectin fingerprinting in a panel of 61 human tumor cell lines by RT-PCR and its implications for diagnostic and therapeutic procedures.
J. Cancer Res. Clin. Oncol. 127:375-386(2001)

PubMed=12353263; DOI=10.1002/gcc.10107
Popovici C., Basset C., Bertucci F., Orsetti B., Adelaide J., Mozziconacci M.-J., Conte N., Murati A., Ginestier C., Charafe-Jauffret E., Ethier S.P., Lafage-Pochitaloff M., Theillet C., Birnbaum D., Chaffanet M.
Reciprocal translocations in breast tumor cell lines: cloning of a t(3;20) that targets the FHIT gene.
Genes Chromosomes Cancer 35:204-218(2002)

PubMed=12800145; DOI=10.1002/gcc.10218
Adelaide J., Huang H.-E., Murati A., Alsop A.E., Orsetti B., Mozziconacci M.-J., Popovici C., Ginestier C., Letessier A., Basset C., Courtay-Cahen C., Jacquemier J., Theillet C., Birnbaum D., Edwards P.A.W., Chaffanet M.
A recurrent chromosome translocation breakpoint in breast and pancreatic cancer cell lines targets the neuregulin/NRG1 gene.
Genes Chromosomes Cancer 37:333-345(2003)

PubMed=15153330; DOI=10.1593/neo.3292
Watts G.S., Oshiro M.M., Junk D.J., Wozniak R.J., Watterson S.J., Domann F.E., Futscher B.W.
The acetyltransferase p300/CBP-associated factor is a p53 target gene in breast tumor cells.
Neoplasia 6:187-194(2004)

PubMed=15677628; DOI=10.1093/carcin/bgi032
Gorringe K.L., Chin S.-F., Pharoah P.D.P., Staines J.M., Oliveira C., Edwards P.A.W., Caldas C.
Evidence that both genetic instability and selection contribute to the accumulation of chromosome alterations in cancer.
Carcinogenesis 26:923-930(2005)

PubMed=16397213; DOI=10.1158/0008-5472.CAN-05-2853
Elstrodt F., Hollestelle A., Nagel J.H.A., Gorin M., Wasielewski M., van den Ouweland A., Merajver S.D., Ethier S.P., Schutte M.
BRCA1 mutation analysis of 41 human breast cancer cell lines reveals three new deleterious mutants.
Cancer Res. 66:41-45(2006)

PubMed=16541312; DOI=10.1007/s10549-006-9186-z
Wasielewski M., Elstrodt F., Klijn J.G.M., Berns E.M.J.J., Schutte M.
Thirteen new p53 gene mutants identified among 41 human breast cancer cell lines.
Breast Cancer Res. Treat. 99:97-101(2006)

PubMed=17157791; DOI=10.1016/j.ccr.2006.10.008
Neve R.M., Chin K., Fridlyand J., Yeh J., Baehner F.L., Fevr T., Clark L., Bayani N., Coppe J.-P., Tong F., Speed T., Spellman P.T., DeVries S., Lapuk A., Wang N.J., Kuo W.-L., Stilwell J.L., Pinkel D., Albertson D.G., Waldman F.M., McCormick F., Dickson R.B., Johnson M.D., Lippman M.E., Ethier S.P., Gazdar A.F., Gray J.W.
A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes.
Cancer Cell 10:515-527(2006)

PubMed=18516279; DOI=10.1016/j.molonc.2007.02.004
Kenny P.A., Lee G.Y., Myers C.A., Neve R.M., Semeiks J.R., Spellman P.T., Lorenz K., Lee E.H., Barcellos-Hoff M.H., Petersen O.W., Gray J.W., Bissell M.J.
The morphologies of breast cancer cell lines in three-dimensional assays correlate with their profiles of gene expression.
Mol. Oncol. 1:84-96(2007)

PubMed=18262045; DOI=10.1016/j.cancergencyto.2007.05.030
Xu J., Chambers A.F., Tuck A.B., Rodenhiser D.I.
Molecular cytogenetic characterization of human breast cancer cell line MDA-MB-468 and its variant 468LN, which displays aggressive lymphatic metastasis.
Cancer Genet. Cytogenet. 181:1-7(2008)

PubMed=19582160; DOI=10.1371/journal.pone.0006146
Kao J., Salari K., Bocanegra M., Choi Y.-L., Girard L., Gandhi J., Kwei K.A., Hernandez-Boussard T., Wang P., Gazdar A.F., Minna J.D., Pollack J.R.
Molecular profiling of breast cancer cell lines defines relevant tumor models and provides a resource for cancer gene discovery.
PLoS ONE 4:E6146-E6146(2009)

CLPUB00423
Morrison B.J.
Breast cancer stem cells: tumourspheres and implications for therapy.
Thesis PhD (2010), Griffith University, Australia

PubMed=19593635; DOI=10.1007/s10549-009-0460-8
Hollestelle A., Nagel J.H.A., Smid M., Lam S., Elstrodt F., Wasielewski M., Ng S.S., French P.J., Peeters J.K., Rozendaal M.J., Riaz M., Koopman D.G., ten Hagen T.L.M., de Leeuw B.H.C.G.M., Zwarthoff E.C., Teunisse A., van der Spek P.J., Klijn J.G.M., Dinjens W.N.M., Ethier S.P., Clevers H.C., Jochemsen A.G., den Bakker M.A., Foekens J.A., Martens J.W.M., Schutte M.
Distinct gene mutation profiles among luminal-type and basal-type breast cancer cell lines.
Breast Cancer Res. Treat. 121:53-64(2010)

PubMed=20070913; DOI=10.1186/1471-2407-10-15
Tsuji K., Kawauchi S., Saito S., Furuya T., Ikemoto K., Nakao M., Yamamoto S., Oka M., Hirano T., Sasaki K.
Breast cancer cell lines carry cell line-specific genomic alterations that are distinct from aberrations in breast cancer tissues: comparison of the CGH profiles between cancer cell lines and primary cancer tissues.
BMC Cancer 10:15.1-15.10(2010)

PubMed=20164919; DOI=10.1038/nature08768
Bignell G.R., Greenman C.D., Davies H., Butler A.P., Edkins S., Andrews J.M., Buck G., Chen L., Beare D., Latimer C., Widaa S., Hinton J., Fahey C., Fu B.-Y., Swamy S., Dalgliesh G.L., Teh B.T., Deloukas P., Yang F.-T., Campbell P.J., Futreal P.A., Stratton M.R.
Signatures of mutation and selection in the cancer genome.
Nature 463:893-898(2010)

PubMed=21778573; DOI=10.3233/BD-2010-0307
Chavez K.J., Garimella S.V., Lipkowitz S.
Triple negative breast cancer cell lines: one tool in the search for better treatment of triple negative breast cancer.
Breast Dis. 32:35-48(2010)

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=22460905; DOI=10.1038/nature11003
Barretina J.G., Caponigro G., Stransky N., Venkatesan K., Margolin A.A., Kim S., Wilson C.J., Lehar J., Kryukov G.V., Sonkin D., Reddy A., Liu M., Murray L., Berger M.F., Monahan J.E., Morais P., Meltzer J., Korejwa A., Jane-Valbuena J., Mapa F.A., Thibault J., Bric-Furlong E., Raman P., Shipway A., Engels I.H., Cheng J., Yu G.-Y.K., Yu J.-J., Aspesi P. Jr., de Silva M., Jagtap K., Jones M.D., Wang L., Hatton C., Palescandolo E., Gupta S., Mahan S., Sougnez C., Onofrio R.C., Liefeld T., MacConaill L.E., Winckler W., Reich M., Li N.-X., Mesirov J.P., Gabriel S.B., Getz G., Ardlie K., Chan V., Myer V.E., Weber B.L., Porter J., Warmuth M., Finan P., Harris J.L., Meyerson M.L., Golub T.R., Morrissey M.P., Sellers W.R., Schlegel R., Garraway L.A.
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.
Nature 483:603-607(2012)

PubMed=22585861; DOI=10.1158/2159-8290.CD-11-0224
Marcotte R., Brown K.R., Suarez Saiz F.J., Sayad A., Karamboulas K., Krzyzanowski P.M., Sircoulomb F., Medrano M., Fedyshyn Y., Koh J.L.Y., van Dyk D., Fedyshyn B., Luhova M., Brito G.C., Vizeacoumar F.J., Vizeacoumar F.S., Datti A., Kasimer D., Buzina A., Mero P., Misquitta C., Normand J., Haider M., Ketela T., Wrana J.L., Rottapel R., Neel B.G., Moffat J.
Essential gene profiles in breast, pancreatic, and ovarian cancer cells.
Cancer Discov. 2:172-189(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=23151021; DOI=10.1186/1471-2164-13-619
Grigoriadis A., Mackay A., Noel E., Wu P.-J., Natrajan R., Frankum J., Reis-Filho J.S., Tutt A.
Molecular characterisation of cell line models for triple-negative breast cancers.
BMC Genomics 13:619.1-619.14(2012)

PubMed=23601657; DOI=10.1186/bcr3415
Riaz M., van Jaarsveld M.T.M., Hollestelle A., Prager-van der Smissen W.J.C., Heine A.A.J., Boersma A.W.M., Liu J.-J., Helmijr J.C.A., Ozturk B., Smid M., Wiemer E.A.C., Foekens J.A., Martens J.W.M.
miRNA expression profiling of 51 human breast cancer cell lines reveals subtype and driver mutation-specific miRNAs.
Breast Cancer Res. 15:R33.1-R33.17(2013)

PubMed=23856246; DOI=10.1158/0008-5472.CAN-12-3342
Abaan O.D., Polley E.C., Davis S.R., Zhu Y.-L.J., Bilke S., Walker R.L., Pineda M.A., 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=24094812; DOI=10.1016/j.ccr.2013.08.020
Timmerman L.A., Holton T., Yuneva M., Louie R.J., Padro M., Daemen A., Hu M., Chan D.A., Ethier S.P., van 't Veer L.J., Polyak K., McCormick F., Gray J.W.
Glutamine sensitivity analysis identifies the xCT antiporter as a common triple-negative breast tumor therapeutic target.
Cancer Cell 24:450-465(2013)

PubMed=24162158; DOI=10.1007/s10549-013-2743-3
Prat A., Karginova O., Parker J.S., Fan C., He X.-P., Bixby L.M., Harrell J.C., Roman E., Adamo B., Troester M.A., Perou C.M.
Characterization of cell lines derived from breast cancers and normal mammary tissues for the study of the intrinsic molecular subtypes.
Breast Cancer Res. Treat. 142:237-255(2013)

PubMed=24176112; DOI=10.1186/gb-2013-14-10-r110
Daemen A., Griffith O.L., Heiser L.M., Wang N.J., Enache O.M., Sanborn Z., Pepin F., Durinck S., Korkola J.E., Griffith M., Hur J.S., Huh N., Chung J., Cope L., Fackler M.J., Umbricht C.B., Sukumar S., Seth P., Sukhatme V.P., Jakkula L.R., Lu Y.-L., Mills G.B., Cho R.J., Collisson E.A., van 't Veer L.J., Spellman P.T., Gray J.W.
Modeling precision treatment of breast cancer.
Genome Biol. 14:R110.1-R110.14(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. 1:20.1-20.13(2013)

PubMed=25960936; DOI=10.4161/21624011.2014.954893
Boegel S., Lower M., Bukur T., Sahin U., Castle J.C.
A catalog of HLA type, HLA expression, and neo-epitope candidates in human cancer cell lines.
OncoImmunology 3:e954893.1-e954893.12(2014)

PubMed=25485619; DOI=10.1038/nbt.3080
Klijn C., Durinck S., Stawiski E.W., Haverty P.M., Jiang Z.-S., Liu H.-B., Degenhardt J., Mayba O., Gnad F., Liu J.-F., Pau G., Reeder J., Cao Y., Mukhyala K., Selvaraj S.K., Yu M.-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.-M.
A comprehensive transcriptional portrait of human cancer cell lines.
Nat. Biotechnol. 33:306-312(2015)

PubMed=25699542; DOI=10.15252/msb.20145664
Muellner M.K., Mair B., Ibrahim Y., Kerzendorfer C., Lechtermann H., Trefzer C., Klepsch F., Muller A.C., Leitner E., Macho-Maschler S., Superti-Furga G., Bennett K.L., Baselga J., Rix U., Kubicek S., Colinge J., Serra V., Nijman S.M.B.
Targeting a cell state common to triple-negative breast cancers.
Mol. Syst. Biol. 11:789-789(2015)

PubMed=25877200; DOI=10.1038/nature14397
Yu M., Selvaraj S.K., Liang-Chu M.M.Y., Aghajani S., Busse M., Yuan J., Lee G., Peale F.V., Klijn C., Bourgon R., Kaminker J.S., Neve R.M.
A resource for cell line authentication, annotation and quality control.
Nature 520:307-311(2015)

PubMed=25892236; DOI=10.1016/j.celrep.2015.03.050
Lawrence R.T., Perez E.M., Hernandez D., Miller C.P., Haas K.M., Irie H.Y., Lee S.-I., Blau C.A., Villen J.
The proteomic landscape of triple-negative breast cancer.
Cell Rep. 11:630-644(2015)

PubMed=26589293; DOI=10.1186/s13073-015-0240-5
Scholtalbers J., Boegel S., Bukur T., Byl M., Goerges S., Sorn P., Loewer M., Sahin U., Castle J.C.
TCLP: an online cancer cell line catalogue integrating HLA type, predicted neo-epitopes, virus and gene expression.
Genome Med. 7:118.1-118.7(2015)

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.-M., Egan R.K., Liu Q.-S., Mironenko T., Mitropoulos X., Richardson L., Wang J.-H., Zhang T.-H., 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=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 7:20.1-20.11(2016)

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

PubMed=28287265; DOI=10.1021/acs.jproteome.6b00470
Yen T.-Y., Bowen S., Yen R., Piryatinska A., Macher B.A., Timpe L.C.
Glycoproteins in claudin-low breast cancer cell lines have a unique expression profile.
J. Proteome Res. 16:1391-1400(2017)

PubMed=28889351; DOI=10.1007/s10549-017-4496-x
Saunus J.M., Smart C.E., Kutasovic J.R., Johnston R.L., Kalita-de Croft P., Miranda M., Rozali E.N., Vargas A.C., Reid L.E., Lorsy E., Cocciardi S., Seidens T., McCart Reed A.E., Dalley A.J., Wockner L.F., Johnson J., Sarkar D., Askarian-Amiri M.E., Simpson P.T., Khanna K.K., Chenevix-Trench G., Al-Ejeh F., Lakhani S.R.
Multidimensional phenotyping of breast cancer cell lines to guide preclinical research.
Breast Cancer Res. Treat. 167:289-301(2018)

PubMed=29273624; DOI=10.1101/gr.226019.117
Franco H.L., Nagari A., Malladi V.S., Li W.-Q., Xi Y.-X., Richardson D., Allton K.L., Tanaka K., Li J., Murakami S., Keyomarsi K., Bedford M.T., Shi X.-B., Li W., Barton M.C., Dent S.Y.R., Kraus W.L.
Enhancer transcription reveals subtype-specific gene expression programs controlling breast cancer pathogenesis.
Genome Res. 28:159-170(2018)

PubMed=30613774; DOI=10.1126/sciadv.aau7314
Vande Voorde J., Ackermann T., Pfetzer N., Sumpton D., Mackay G., Kalna G., Nixon C., Blyth K., Gottlieb E., Tardito S.
Improving the metabolic fidelity of cancer models with a physiological cell culture medium.
Sci. Adv. 5:eaau7314.1-eaau7314.14(2019)

PubMed=30787054; DOI=10.1158/1055-9965.EPI-18-1132
Hooker S.E. Jr., Woods-Burnham L., Bathina M., Lloyd S., Gorjala P., Mitra R., Nonn L., Kimbro K.S., Kittles R.A.
Genetic ancestry analysis reveals misclassification of commonly used cancer cell lines.
Cancer Epidemiol. Biomarkers Prev. 28:1003-1009(2019)

PubMed=30894373; DOI=10.1158/0008-5472.CAN-18-2747
Dutil J., Chen Z.-H., Monteiro A.N.A., Teer J.K., Eschrich S.A.
An interactive resource to probe genetic diversity and estimated ancestry in cancer cell lines.
Cancer Res. 79:1263-1273(2019)

PubMed=30971826; DOI=10.1038/s41586-019-1103-9
Behan F.M., Iorio F., Picco G., Goncalves E., Beaver C.M., Migliardi G., Santos R., Rao Y., Sassi F., Pinnelli M., Ansari R., Harper S., Jackson D.A., McRae R., Pooley R., Wilkinson P., van der Meer D.J., Dow D., Buser-Doepner C.A., Bertotti A., Trusolino L., Stronach E.A., Saez-Rodriguez J., Yusa K., Garnett M.J.
Prioritization of cancer therapeutic targets using CRISPR-Cas9 screens.
Nature 568:511-516(2019)

PubMed=31068700; DOI=10.1038/s41586-019-1186-3
Ghandi M., Huang F.W., Jane-Valbuena J., Kryukov G.V., Lo C.C., McDonald E.R. III, Barretina J.G., Gelfand E.T., Bielski C.M., Li H.-X., Hu K., Andreev-Drakhlin A.Y., Kim J., Hess J.M., Haas B.J., Aguet F., Weir B.A., Rothberg M.V., Paolella B.R., Lawrence M.S., Akbani R., Lu Y.-L., Tiv H.L., Gokhale P.C., de Weck A., Mansour A.A., Oh C., Shih J., Hadi K., Rosen Y., Bistline J., Venkatesan K., Reddy A., Sonkin D., Liu M., Lehar J., Korn J.M., Porter D.A., Jones M.D., Golji J., Caponigro G., Taylor J.E., Dunning C.M., Creech A.L., Warren A.C., McFarland J.M., Zamanighomi M., Kauffmann A., Stransky N., Imielinski M., Maruvka Y.E., Cherniack A.D., Tsherniak A., Vazquez F., Jaffe J.D., Lane A.A., Weinstock D.M., Johannessen C.M., Morrissey M.P., Stegmeier F., Schlegel R., Hahn W.C., Getz G., Mills G.B., Boehm J.S., Golub T.R., Garraway L.A., Sellers W.R.
Next-generation characterization of the Cancer Cell Line Encyclopedia.
Nature 569:503-508(2019)

PubMed=31978347; DOI=10.1016/j.cell.2019.12.023
Nusinow D.P., Szpyt J., Ghandi M., Rose C.M., McDonald E.R. III, Kalocsay M., Jane-Valbuena J., Gelfand E.T., Schweppe D.K., Jedrychowski M.P., Golji J., Porter D.A., Rejtar T., Wang Y.K., Kryukov G.V., Stegmeier F., Erickson B.K., Garraway L.A., Sellers W.R., Gygi S.P.
Quantitative proteomics of the Cancer Cell Line Encyclopedia.
Cell 180:387-402.e16(2020)

PubMed=32576280; DOI=10.1186/s13058-020-01300-y
Finlay-Schultz J., Jacobsen B.M., Riley D., Paul K.V., Turner S., Ferreira-Gonzalez A., Harrell J.C., Kabos P., Sartorius C.A.
New generation breast cancer cell lines developed from patient-derived xenografts.
Breast Cancer Res. 22:68.1-68.12(2020)

PubMed=34703030; DOI=10.1038/s41388-021-02075-y
Kuiken H.J., Dhakal S., Selfors L.M., Friend C.M., Zhang T., Callari M., Schackmann R.C.J., Gray G.K., Crowdis J., Bhang H.-E.C., Baslan T., Stegmeier F., Gygi S.P., Caldas C., Brugge J.S.
Clonal populations of a human TNBC model display significant functional heterogeneity and divergent growth dynamics in distinct contexts.
Oncogene 41:112-124(2022)

PubMed=35839778; DOI=10.1016/j.ccell.2022.06.010
Goncalves E., Poulos R.C., Cai Z.-X., Barthorpe S., Manda S.S., Lucas N., Beck A., Bucio-Noble D., Dausmann M., Hall C., Hecker M., Koh J., Lightfoot H., Mahboob S., Mali I., Morris J., Richardson L., Seneviratne A.J., Shepherd R., Sykes E., Thomas F., Valentini S., Williams S.G., Wu Y.-X., Xavier D., MacKenzie K.L., Hains P.G., Tully B., Robinson P.J., Zhong Q., Garnett M.J., Reddel R.R.
Pan-cancer proteomic map of 949 human cell lines.
Cancer Cell 40:835-849.e8(2022)

Cross-references
Cell line collections (Providers) AddexBio; C0006003/4673
ATCC; HTB-132
BCRJ; 0166
CLS; 300279 - Discontinued
DSMZ; ACC-738
IBRC; C10095
ICLC; HTL99024
KCB; KCB 2011114YJ
NCBI_Iran; C208
NCI-DTP; MDA-MB-468
Ubigene; YC-D009
Cell line databases/resources CLO; CLO_0007641
MCCL; MCC:0000316
CLDB; cl4973
cancercelllines; CVCL_0419
CCRID; 1101HUM-PUMC000249
CCRID; 3101HUMTCHu136
Cell_Model_Passport; SIDM00628
Cosmic-CLP; 908123
DepMap; ACH-000849
DSMZCellDive; ACC-738
LINCS_HMS; 50335
LINCS_LDP; LCL-1471
Lonza; 809
SLKBase; 3578
TOKU-E; 2401
TOKU-E; 3604
Anatomy/cell type resources BTO; BTO:0001570
Biological sample resources BioSample; SAMN03473056
BioSample; SAMN05292454
BioSample; SAMN10988340
CRISP screens repositories BioGRID_ORCS_Cell_line; 551
Chemistry resources ChEMBL-Cells; CHEMBL3308424
ChEMBL-Targets; CHEMBL614335
GDSC; 908123
PharmacoDB; MDAMB468_907_2019
PubChem_Cell_line; CVCL_0419
Encyclopedic resources Wikidata; Q16880225
Experimental variables resources EFO; EFO_0001216
Gene expression databases ArrayExpress; E-MTAB-783
ArrayExpress; E-MTAB-2706
ArrayExpress; E-MTAB-2770
ArrayExpress; E-MTAB-3610
ArrayExpress; E-MTAB-6647
ArrayExpress; E-TABM-157
ArrayExpress; E-TABM-244
GEO; GSE184543
GEO; GSM75169
GEO; GSM185095
GEO; GSM185096
GEO; GSM217591
GEO; GSM219929
GEO; GSM344356
GEO; GSM344406
GEO; GSM350502
GEO; GSM388214
GEO; GSM421880
GEO; GSM459714
GEO; GSM459722
GEO; GSM466357
GEO; GSM783955
GEO; GSM847418
GEO; GSM847497
GEO; GSM887301
GEO; GSM888376
GEO; GSM1008911
GEO; GSM1053727
GEO; GSM1172984
GEO; GSM1214565
GEO; GSM1238123
GEO; GSM1374663
GEO; GSM1374664
GEO; GSM1374665
GEO; GSM1401650
GEO; GSM1556177
GEO; GSM1556178
GEO; GSM1556179
GEO; GSM1556180
GEO; GSM1556181
GEO; GSM1661984
GEO; GSM1670087
GEO; GSM1833629
GEO; GSM2124671
GEO; GSM2258884
GEO; GSM2258885
GEO; GSM2258886
GEO; GSM2258887
GEO; GSM2258888
GEO; GSM2258889
GEO; GSM2258890
GEO; GSM2258891
GEO; GSM2258892
GEO; GSM2258893
GEO; GSM2258894
GEO; GSM2258895
GEO; GSM2258896
GEO; GSM2258897
GEO; GSM2258898
GEO; GSM2258899
GEO; GSM2258900
GEO; GSM2258901
GEO; GSM2258941
GEO; GSM2258942
GEO; GSM2258943
Polymorphism and mutation databases Cosmic; 809241
Cosmic; 850823
Cosmic; 871149
Cosmic; 877448
Cosmic; 897427
Cosmic; 904384
Cosmic; 908123
Cosmic; 923061
Cosmic; 934530
Cosmic; 949192
Cosmic; 991327
Cosmic; 997921
Cosmic; 1000125
Cosmic; 1010920
Cosmic; 1017167
Cosmic; 1018467
Cosmic; 1046929
Cosmic; 1044224
Cosmic; 1047691
Cosmic; 1136363
Cosmic; 1152526
Cosmic; 1176635
Cosmic; 1287918
Cosmic; 1289402
Cosmic; 1305384
Cosmic; 1309004
Cosmic; 1477427
Cosmic; 1523775
Cosmic; 1524344
Cosmic; 1571795
Cosmic; 1603223
Cosmic; 1609465
Cosmic; 1998490
Cosmic; 2009514
Cosmic; 2036673
Cosmic; 2164999
Cosmic; 2301533
Cosmic; 2318380
Cosmic; 2361357
Cosmic; 2668276
IARC_TP53; 94
LiGeA; CCLE_336
Progenetix; CVCL_0419
Proteomic databases PRIDE; PXD001680
PRIDE; PXD005295
PRIDE; PXD008222
PRIDE; PXD022325
PRIDE; PXD030304
Sequence databases EGA; EGAS00001000610
EGA; EGAS00001000978
Entry history
Entry creation04-Apr-2012
Last entry update30-Jan-2024
Version number47