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Cellosaurus SU.86.86 (CVCL_3881)

[Text version]
Cell line name SU.86.86
Synonyms Su.86.86; SU 86.86; SU-86-86; Su-86-86; SU86.86; SU86-86; SU86_86; Su86_86; SU8686; SU.86
Accession CVCL_3881
Resource Identification Initiative To cite this cell line use: SU.86.86 (RRID:CVCL_3881)
Comments Part of: Cancer Dependency Map project (DepMap) (includes Cancer Cell Line Encyclopedia - CCLE).
Part of: COSMIC cell lines project.
Part of: NCI RAS program mutant KRAS cell line panel.
Population: Caucasian.
Doubling time: 77 hours (PubMed=3264833); 48 hours (PubMed=25984343).
Microsatellite instability: Stable (MSS) (Sanger).
Omics: Array-based CGH.
Omics: CRISPR phenotypic screen.
Omics: Deep exome analysis.
Omics: Deep proteome analysis.
Omics: Deep quantitative proteome analysis.
Omics: DNA methylation analysis.
Omics: Metabolome analysis.
Omics: miRNA expression profiling.
Omics: shRNA library screening.
Omics: SNP array analysis.
Omics: Transcriptome analysis by microarray.
Omics: Transcriptome analysis by RNAseq.
Misspelling: Su_86_96; Cosmic=913314.
Misspelling: SU-88-86; Cosmic=873003.
Derived from site: Metastatic; Liver; UBERON=UBERON_0002107.
Sequence variations
HLA typing Source: PubMed=26589293
Class I
HLA-AA*29:02,32:01
HLA-BB*44:02,44:02
HLA-CC*05:01,16:01
Genome ancestry Source: PubMed=30894373

Origin% genome
African0.25
Native American1.63
East Asian, North1.94
East Asian, South0
South Asian0
European, North53.02
European, South43.16
Disease Pancreatic adenocarcinoma (NCIt: C8294)
Species of origin Homo sapiens (Human) (NCBI Taxonomy: 9606)
Sex of cell Female
Age at sampling 57Y
Category Cancer cell line
STR profile Source(s): ATCC=CRL-1837; Cosmic-CLP=1240218; PubMed=25877200

Markers:
AmelogeninX
CSF1PO10,11
D2S133817,23
D3S135814,19
D5S8187,13
D7S8208,11
D8S117912,15
D13S31711,12
D16S53911,13
D18S519
D19S43314,15
D21S1130
FGA21,22
Penta D9,13
Penta E12
TH019.3
TPOX8
vWA17

Run an STR similarity search on this cell line
Web pages http://dpsc.ccbr.utoronto.ca/cancer/get_cellline.pl?cellline=SU.86.86
Publications

PubMed=3264833; DOI=10.1007/BF02624187
Drucker B.J., Marincola F.M., Siao D.Y., Donlon T.A., Bangs C.D., Holder W.D. Jr.
A new human pancreatic carcinoma cell line developed for adoptive immunotherapy studies with lymphokine-activated killer cells in nude mice.
In Vitro Cell. Dev. Biol. 24:1179-1187(1988)

PubMed=10027410; DOI=10.1016/S0002-9440(10)65298-4; PMCID=PMC1850008
Ghadimi B.M., Schrock E., Walker R.L., Wangsa D., Jauho A., Meltzer P.S., Ried T.
Specific chromosomal aberrations and amplification of the AIB1 nuclear receptor coactivator gene in pancreatic carcinomas.
Am. J. Pathol. 154:525-536(1999)

PubMed=11115575; DOI=10.3892/or.8.1.89
Sun C.-L., Yamato T., Furukawa T., Ohnishi Y., Kijima H., Horii A.
Characterization of the mutations of the K-ras, p53, p16, and SMAD4 genes in 15 human pancreatic cancer cell lines.
Oncol. Rep. 8:89-92(2001)

PubMed=15126341; DOI=10.1158/0008-5472.CAN-03-3159
Heidenblad M., Schoenmakers E.F.P.M., Jonson T., Gorunova L., Veltman J.A., van Kessel A.G., Hoglund M.
Genome-wide array-based comparative genomic hybridization reveals multiple amplification targets and novel homozygous deletions in pancreatic carcinoma cell lines.
Cancer Res. 64:3052-3059(2004)

PubMed=15688027; DOI=10.1038/sj.onc.1208383
Heidenblad M., Lindgren D., Veltman J.A., Jonson T., Mahlamaki E.H., Gorunova L., van Kessel A.G., Schoenmakers E.F.P.M., Hoglund M.
Microarray analyses reveal strong influence of DNA copy number alterations on the transcriptional patterns in pancreatic cancer: implications for the interpretation of genomic amplifications.
Oncogene 24:1794-1801(2005)

PubMed=16912165; DOI=10.1158/0008-5472.CAN-06-0721
Calhoun E.S., Hucl T., Gallmeier E., West K.M., Arking D.E., Maitra A., Iacobuzio-Donahue C.A., Chakravarti A., Hruban R.H., Kern S.E.
Identifying allelic loss and homozygous deletions in pancreatic cancer without matched normals using high-density single-nucleotide polymorphism arrays.
Cancer Res. 66:7920-7928(2006)

PubMed=18380791; DOI=10.1111/j.1349-7006.2008.00779.x; PMCID=PMC11158928
Suzuki A., Shibata T., Shimada Y., Murakami Y., Horii A., Shiratori K., Hirohashi S., Inazawa J., Imoto I.
Identification of SMURF1 as a possible target for 7q21.3-22.1 amplification detected in a pancreatic cancer cell line by in-house array-based comparative genomic hybridization.
Cancer Sci. 99:986-994(2008)

PubMed=20037478; DOI=10.4161/cbt.8.21.9685; PMCID=PMC2824894
Kent O.A., Mullendore M.E., Wentzel E.A., Lopez-Romero P., Tan A.-C., Alvarez H., West K.M., Ochs M.F., Hidalgo M., Arking D.E., Maitra A., Mendell J.T.
A resource for analysis of microRNA expression and function in pancreatic ductal adenocarcinoma cells.
Cancer Biol. Ther. 8:2013-2024(2009)

PubMed=20418756; DOI=10.1097/MPA.0b013e3181c15963; PMCID=PMC2860631
Deer E.L., Gonzalez-Hernandez J., Coursen J.D., Shea J.E., Ngatia J., Scaife C.L., Firpo M.A., Mulvihill S.J.
Phenotype and genotype of pancreatic cancer cell lines.
Pancreas 39:425-435(2010)

PubMed=22460905; DOI=10.1038/nature11003; PMCID=PMC3320027
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; PMCID=PMC5057396
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=25167228; DOI=10.1038/bjc.2014.475; PMCID=PMC4453732
Hamidi H., Lu M., Chau K., Anderson L., Fejzo M.S., Ginther C., Linnartz R., Zubel A., Slamon D.J., Finn R.S.
KRAS mutational subtype and copy number predict in vitro response of human pancreatic cancer cell lines to MEK inhibition.
Br. J. Cancer 111:1788-1801(2014)

PubMed=25984343; DOI=10.1038/sdata.2014.35; PMCID=PMC4432652
Cowley G.S., Weir B.A., Vazquez F., Tamayo P., Scott J.A., Rusin S., East-Seletsky A., Ali L.D., Gerath W.F.J., Pantel S.E., Lizotte P.H., Jiang G.-Z., Hsiao J., Tsherniak A., Dwinell E., Aoyama S., Okamoto M., Harrington W., Gelfand E.T., Green T.M., Tomko M.J., Gopal S., Wong T.C., Li H.-B., Howell S., Stransky N., Liefeld T., Jang D., Bistline J., Meyers B.H., Armstrong S.A., Anderson K.C., Stegmaier K., Reich M., Pellman D., Boehm J.S., Mesirov J.P., Golub T.R., Root D.E., Hahn W.C.
Parallel genome-scale loss of function screens in 216 cancer cell lines for the identification of context-specific genetic dependencies.
Sci. Data 1:140035-140035(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=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=26216984; DOI=10.1073/pnas.1501605112; PMCID=PMC4538616
Daemen A., Peterson D., Sahu N., McCord R., Du X.-N., Liu B., Kowanetz K., Hong R., Moffat J., Gao M., Boudreau A., Mroue R., Corson L., O'Brien T., Qing J., Sampath D., Merchant M., Yauch R.L., Manning G., Settleman J., Hatzivassiliou G., Evangelista M.
Metabolite profiling stratifies pancreatic ductal adenocarcinomas into subtypes with distinct sensitivities to metabolic inhibitors.
Proc. Natl. Acad. Sci. U.S.A. 112:E4410-E4417(2015)

PubMed=26589293; DOI=10.1186/s13073-015-0240-5; PMCID=PMC4653878
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=27259358; DOI=10.1074/mcp.M116.058313; PMCID=PMC4974343
Humphrey E.S., Su S.-P., Nagrial A.M., Hochgrafe F., Pajic M., Lehrbach G.M., Parton R.G., Yap A.S., Horvath L.G., Chang D.K., Biankin A.V., Wu J.-M., Daly R.J.
Resolution of novel pancreatic ductal adenocarcinoma subtypes by global phosphotyrosine profiling.
Mol. Cell. Proteomics 15:2671-2685(2016)

PubMed=27397505; DOI=10.1016/j.cell.2016.06.017; PMCID=PMC4967469
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=29444439; DOI=10.1016/j.celrep.2018.01.051; PMCID=PMC6343826
Yuan T.L., Amzallag A., Bagni R., Yi M., Afghani S., Burgan W., Fer N., Strathern L.A., Powell K., Smith B., Waters A.M., Drubin D.A., Thomson T., Liao R., Greninger P., Stein G.T., Murchie E., Cortez E., Egan R.K., Procter L., Bess M., Cheng K.T., Lee C.-S., Lee L.C., Fellmann C., Stephens R., Luo J., Lowe S.W., Benes C.H., McCormick F.
Differential effector engagement by oncogenic KRAS.
Cell Rep. 22:1889-1902(2018)

PubMed=30894373; DOI=10.1158/0008-5472.CAN-18-2747; PMCID=PMC6445675
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; PMCID=PMC6697103
Ghandi M., Huang F.W., Jane-Valbuena J., Kryukov G.V., Lo C.C., McDonald E.R. 3rd, 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; PMCID=PMC7339254
Nusinow D.P., Szpyt J., Ghandi M., Rose C.M., McDonald E.R. 3rd, 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=35839778; DOI=10.1016/j.ccell.2022.06.010; PMCID=PMC9387775
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) ATCC; CRL-1837
IZSLER; BS TCL 180
Cell line databases/resources CLO; CLO_0009150
cancercelllines; CVCL_3881
Cell_Model_Passport; SIDM01188
CGH-DB; 183-1
CGH-DB; 9282-4
Cosmic-CLP; 1240218
DepMap; ACH-000114
LINCS_LDP; LCL-1747
SKY/M-FISH/CGH; 2000
Anatomy/cell type resources BTO; BTO:0001904
Biological sample resources BioSample; SAMN03472014
BioSample; SAMN10987701
CRISP screens repositories BioGRID_ORCS_Cell_line; 196
Chemistry resources ChEMBL-Cells; CHEMBL4630607
ChEMBL-Targets; CHEMBL4630707
GDSC; 1240218
PharmacoDB; SU_86_86_1506_2019
PubChem_Cell_line; CVCL_3881
Encyclopedic resources Wikidata; Q54970749
Experimental variables resources EFO; EFO_0006494
Gene expression databases ArrayExpress; E-MTAB-2706
ArrayExpress; E-MTAB-2770
ArrayExpress; E-MTAB-3610
GEO; GSM206545
GEO; GSM621901
GEO; GSM784693
GEO; GSM887650
GEO; GSM888742
GEO; GSM1024414
GEO; GSM1374903
GEO; GSM1435693
GEO; GSM1435694
GEO; GSM1435695
GEO; GSM1670481
Polymorphism and mutation databases Cosmic; 707252
Cosmic; 868244
Cosmic; 873003
Cosmic; 913314
Cosmic; 922250
Cosmic; 923172
Cosmic; 932522
Cosmic; 949237
Cosmic; 1006362
Cosmic; 1066203
Cosmic; 1122349
Cosmic; 1218879
Cosmic; 1358486
Cosmic; 1518237
Cosmic; 1644315
Cosmic; 1995645
Cosmic; 2434090
IARC_TP53; 2860
LiGeA; CCLE_401
Progenetix; CVCL_3881
Proteomic databases PRIDE; PXD003198
PRIDE; PXD030304
Sequence databases EGA; EGAS00001000610
EGA; EGAS00001000978
Entry history
Entry creation04-Apr-2012
Last entry update10-Sep-2024
Version number43