Cellosaurus HPAC (CVCL_3517)

Cell line name HPAC
Synonyms Hpac
Accession CVCL_3517
Resource Identification Initiative To cite this cell line use: HPAC (RRID:CVCL_3517)
Comments Part of: Cancer Cell Line Encyclopedia (CCLE) project.
Doubling time: 23 hours (PubMed=25984343).
Microsatellite instability: Stable (MSS) (Sanger).
Omics: Deep exome analysis.
Omics: Deep proteome analysis.
Omics: Deep RNAseq analysis.
Omics: DNA methylation analysis.
Omics: Metabolome analysis.
Omics: Proteome analysis by 2D-DE/MS.
Omics: shRNA library screening.
Omics: SNP array analysis.
Omics: Transcriptome analysis.
Disease Pancreatic adenocarcinoma (NCIt: C8294)
Species of origin Homo sapiens (Human) (NCBI Taxonomy: 9606)
Hierarchy Children:
CVCL_2090 (KCI-MOH1)
Sex of cell Female
Category Cancer cell line
STR profile Source(s): ATCC; Cosmic-CLP; PubMed=25877200

Markers:
AmelogeninX
CSF1PO13
D13S31711
D16S5399,10
D18S5116
D21S1130
D3S135815,17
D5S81812
D7S82010,12
D8S117912,14
FGA24
Penta D13
Penta E15,17
TH019.3
TPOX10,11
vWA15,17
Web pages http://colt.ccbr.utoronto.ca/cancer/get_cellline.pl?cellline=HPAC
Publications

PubMed=25939163; DOI=10.1007/BF02631438
Gower W.R. Jr., Risch R.M., Godellas C.V., Fabri P.J.
HPAC, a new human glucocorticoid-sensitive pancreatic ductal adenocarcinoma cell line.
In Vitro Cell. Dev. Biol. Anim. 30:151-161(1994)

DOI=10.4172/jpb.1000057
Masayo Y., Kiyonaga F., Koji K., Setsuo H., Tadashi K.
The proteomic profile of pancreatic cancer cell lines corresponding to carcinogenesis and metastasis.
J. Proteomics Bioinform. 2:1-18(2009)

PubMed=20418756; DOI=10.1097/MPA.0b013e3181c15963
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
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.K., Yu 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., Winckler W., Reich M., Li N., 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., 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=25167228; DOI=10.1038/bjc.2014.475
Hamidi H., Lu M., Chau K., Anderson L., Fejzo M., 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
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., Hsiao J., Tsherniak A., Dwinell E., Aoyama S., Okamoto M., Harrington W., Gelfand E., Green T.M., Tomko M.J., Gopal S., Wong T.C., Li H., Howell S., Stransky N., Liefeld T., Jang D., Bistline J., Hill Meyers B., 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., 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=26216984; DOI=10.1073/pnas.1501605112
Daemen A., Peterson D., Sahu N., McCord R., Du X., 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., 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=27259358; DOI=10.1074/mcp.M116.058313
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., 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
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)

Cross-references
Cell line collections ATCC; CRL-2119
BCRC; 60495
Cell line databases/resources CCLE; HPAC_PANCREAS
CCRID; 3111C0001CCC000189
Cosmic-CLP; 1298136
GDSC; 1298136
IGRhCellID; HPAC
LINCS_LDP; LCL-1735
Ontologies BTO; BTO:0004121
CLO; CLO_0003814
EFO; EFO_0002197
Biological sample resources BioSample; SAMN03472247
Chemistry resources ChEMBL-Cells; CHEMBL3308388
ChEMBL-Targets; CHEMBL612595
Gene expression databases GEO; GSM621897
GEO; GSM206509
GEO; GSM784701
GEO; GSM887089
GEO; GSM888160
GEO; GSM1024401
GEO; GSM1374545
GEO; GSM1669892
Polymorphism and mutation databases Cosmic; 913306
Cosmic; 1571784
Cosmic; 1995444
Cosmic; 2434094
Proteomic databases PRIDE; PXD003198