Panc 03.27Homo sapiens (Human)Cancer cell line

Also known as: PL-11, PL11, Panc0327, PANC0327, Panc327, PANC 327, Panc-327, Panc3_27, Panc3.27, PANC3.27, Panc-3_27, Panc_03_27, PANC-03-27, Panc-03.27, Panc 3.27

🤖 AI SummaryBased on 11 publications

Quick Overview

Human pancreatic cancer cell line with metabolic and genetic characteristics.

Detailed Summary

Panc 03.27 is a human pancreatic cancer cell line derived from pancreatic ductal adenocarcinoma (PDAC). It is characterized by distinct metabolic subtypes, including glycolytic and lipogenic profiles, which influence its response to metabolic inhibitors. The cell line exhibits variations in glucose and glutamine utilization, affecting its sensitivity to drugs targeting glycolysis and lipid synthesis. Research on Panc 03.27 has contributed to understanding the heterogeneity of PDAC and the development of targeted therapies. Its genetic and metabolic profiles make it a valuable model for studying pancreatic cancer biology and drug resistance mechanisms.
Generated on 6/17/2025

Basic Information

Database IDCVCL_1635
SpeciesHomo sapiens (Human)
Tissue SourcePancreas[UBERON:UBERON_0001264]

Donor Information

Age65
Age CategoryAdult
SexFemale
Racecaucasian

Disease Information

DiseasePancreatic adenocarcinoma
LineagePancreas
SubtypePancreatic Adenocarcinoma
OncoTree CodePAAD

DepMap Information

Source TypeATCC
Source IDACH-000139_source

Known Sequence Variations

TypeGene/ProteinDescriptionZygosityNoteSource
MutationSimpleTP53c.375+5G>THomozygous-Unknown
MutationSimpleKRASp.Gly12Val (c.35G>T)HeterozygousAcquiredUnknown, Unknown
MutationUnexplicitFANCCEx7-14Homozygous-PubMed=19305140

Haplotype Information (STR Profile)

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

Amelogenin
X
CSF1PO
10,11
D13S317
11,12
D16S539
12
D18S51
18
D19S433
15
D21S11
29,30
D2S1338
17,26
D3S1358
15,16
D5S818
12,13
D7S820
8,13
D8S1179
13,14
FGA
22,26
Penta D
10,15
Penta E
7,11
TH01
6
TPOX
8,9
vWA
16,17
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

Pan-cancer proteomic map of 949 human cell lines.";

Robinson P.J., Zhong Q., Garnett M.J., Reddel R.R.

Cancer Cell 40:835-849.e8(2022).

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).

Prioritization of cancer therapeutic targets using CRISPR-Cas9 screens.

Stronach E.A., Saez-Rodriguez J., Yusa K., Garnett M.J.

Nature 568:511-516(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).

Differential effector engagement by oncogenic KRAS.";

McCormick F.

Cell Rep. 22:1889-1902(2018).

Characterization of human cancer cell lines by reverse-phase protein arrays.

Liang H.

Cancer Cell 31:225-239(2017).

A landscape of pharmacogenomic interactions in cancer.";

Wessels L.F.A., Saez-Rodriguez J., McDermott U., Garnett M.J.

Cell 166:740-754(2016).

Resolution of novel pancreatic ductal adenocarcinoma subtypes by global phosphotyrosine profiling.

Biankin A.V., Wu J.-M., Daly R.J.

Mol. Cell. Proteomics 15:2671-2685(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).

Metabolite profiling stratifies pancreatic ductal adenocarcinomas into subtypes with distinct sensitivities to metabolic inhibitors.

Manning G., Settleman J., Hatzivassiliou G., Evangelista M.

Proc. Natl. Acad. Sci. U.S.A. 112:E4410-E4417(2015).

Parallel genome-scale loss of function screens in 216 cancer cell lines for the identification of context-specific genetic dependencies.

Golub T.R., Root D.E., Hahn W.C.

Sci. Data 1:140035-140035(2014).

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).

KRAS mutational subtype and copy number predict in vitro response of human pancreatic cancer cell lines to MEK inhibition.

Linnartz R., Zubel A., Slamon D.J., Finn R.S.

Br. J. Cancer 111:1788-1801(2014).

Essential gene profiles in breast, pancreatic, and ovarian cancer cells.

Rottapel R., Neel B.G., Moffat J.

Cancer Discov. 2:172-189(2012).

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).

Signatures of mutation and selection in the cancer genome.";

Deloukas P., Yang F.-T., Campbell P.J., Futreal P.A., Stratton M.R.

Nature 463:893-898(2010).

A resource for analysis of microRNA expression and function in pancreatic ductal adenocarcinoma cells.

Mendell J.T.

Cancer Biol. Ther. 8:2013-2024(2009).

Hybrids of aneuploid human cancer cells permit complementation of simple and complex cancer defects.

Chakravarti A., Kern S.E.

Cancer Biol. Ther. 8:347-355(2009).

Molecular cytogenetic characterization of pancreas cancer cell lines reveals high complexity chromosomal alterations.

Ried T., Schrock E., Perlman E.J., Jaffee E.M.

Cytogenet. Genome Res. 118:148-156(2007).

Identifying allelic loss and homozygous deletions in pancreatic cancer without matched normals using high-density single-nucleotide polymorphism arrays.

Kern S.E.

Cancer Res. 66:7920-7928(2006).

Highly expressed genes in pancreatic ductal adenocarcinomas: a comprehensive characterization and comparison of the transcription profiles obtained from three major technologies.

Kern S.E., Goggins M.G., Hruban R.H.

Cancer Res. 63:8614-8622(2003).

Development and characterization of a cytokine-secreting pancreatic adenocarcinoma vaccine from primary tumors for use in clinical trials.

Thomas M., Greten T.F., Hruban R.H., Yeo C.J., Griffin C.A.

Cancer J. Sci. Am. 4:194-203(1998).