TCC-Pan2Homo sapiens (Human)Cancer cell line

Also known as: TCCPAN2, TCC-PAN2

🤖 AI SummaryBased on 6 publications

Quick Overview

Pancreatic ductal adenocarcinoma cell line with metabolic subtypes and drug sensitivity profiles.

Detailed Summary

TCC-Pan2 is a human pancreatic ductal adenocarcinoma (PDAC) cell line derived from ascitic fluid of a 47-year-old female patient. It exhibits distinct metabolic subtypes, including glycolytic and lipogenic profiles, and shows differential sensitivity to metabolic inhibitors. The cell line has been used to develop an orthotopic peritoneal dissemination model for studying PDAC progression and therapeutic responses. TCC-Pan2 demonstrates anchorage-independent growth, expresses pancreatic tumor markers such as DUPAN-2 and SPan-1, and forms poorly differentiated adenocarcinomas in xenograft models. It also harbors mutations in KRAS and TP53, with amplification of KRAS and homozygous deletion of CDKN2A, reflecting genetic alterations seen in PDAC tumors. The cell line has been utilized to evaluate the efficacy of drugs like NK105 and paclitaxel in preclinical studies.

Research Applications

Metabolic profiling and drug sensitivity testingOrthotopic tumor model developmentGenomic and transcriptomic analysisImmunotherapy research

Key Characteristics

Anchorage-independent growthExpression of pancreatic tumor markers (DUPAN-2, SPan-1)Metabolic subtype diversity (glycolytic, lipogenic)KRAS and TP53 mutationsAmplification of KRAS and deletion of CDKN2A
Generated on 6/20/2025

Basic Information

Database IDCVCL_3178
SpeciesHomo sapiens (Human)
Tissue SourceAscites[UBERON:UBERON_0007795]

Donor Information

Age47
Age CategoryAdult
SexFemale
Raceasian

Disease Information

DiseasePancreatic ductal adenocarcinoma
LineagePancreas
SubtypePancreatic Adenocarcinoma
OncoTree CodePAAD

DepMap Information

Source TypeHSRRB
Source IDACH-000502_source

Known Sequence Variations

TypeGene/ProteinDescriptionZygosityNoteSource
MutationSimpleTP53c.993+1G>A (IVS9+1G>A)HomozygousSplice donor mutationUnknown, PubMed=30747829
MutationSimpleKRASp.Gly12Arg (c.34G>C)Unspecified-PubMed=26124327
Gene deletionCDKN2A-HomozygousPossiblePubMed=26870271

Haplotype Information (STR Profile)

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

Amelogenin
X
CSF1PO
12
D13S317
8
D16S539
11
D18S51
16
D21S11
30
D3S1358
16
D5S818
11,13
D7S820
8,11
D8S1179
13,16
FGA
20
Penta D
10
Penta E
19
TH01
6,7
TPOX
11,12
vWA
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

Establishment of highly invasive pancreatic cancer cell lines and the expression of IL-32.

Tanaka S., Nishida T., Hatta H., Nakajima T.

Oncol. Lett. 20:2888-2896(2020).

Quantitative proteomics of the Cancer Cell Line Encyclopedia.";

Sellers W.R., Gygi S.P.

Cell 180:387-402.e16(2020).

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).

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).

Development and biological analysis of a novel orthotopic peritoneal dissemination mouse model generated using a pancreatic ductal adenocarcinoma cell line.

Yokozaki H.

Pancreas 48:315-322(2019).

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).

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).

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).