KMBC-2Homo sapiens (Human)Cancer cell line

Also known as: KMBC2

🤖 AI SummaryBased on 4 publications

Quick Overview

Human cell line for cancer research

Detailed Summary

KMBC-2 is a human cell line used in cancer research. It is derived from a human tumor, though the specific tissue and disease origin are not specified in the available data. The cell line is part of the Cancer Cell Line Encyclopedia (CCLE), which provides genomic and pharmacological data for a wide range of cancer cell lines. This resource is valuable for understanding drug sensitivity and predictive modeling in cancer treatment. The CCLE includes data on gene expression, chromosomal copy number, and mutations, which can be used to identify genetic predictors of drug response. KMBC-2's inclusion in this database suggests it is utilized for studies involving cancer genomics and drug development.

Research Applications

Cancer genomicsDrug sensitivity profilingPredictive modeling

Key Characteristics

Part of the Cancer Cell Line Encyclopedia (CCLE)Genomic and pharmacological data available
Generated on 6/19/2025

Basic Information

Database IDCVCL_2977
SpeciesHomo sapiens (Human)

Donor Information

Age CategoryUnknown
SexUnknown

Disease Information

DiseaseBladder carcinoma
LineageBladder/Urinary Tract
SubtypeBladder Urothelial Carcinoma
OncoTree CodeBLCA

DepMap Information

Source TypeHSRRB
Source IDACH-000862_source

Known Sequence Variations

TypeGene/ProteinDescriptionZygosityNoteSource
MutationSimpleTP53p.Arg280Thr (c.839G>C)Heterozygous-Unknown, PubMed=12872257
MutationSimplePTENp.Arg130Gly (c.388C>G)Homozygous-Unknown, Unknown, PubMed=28273451

Haplotype Information (STR Profile)

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

Amelogenin
X
CSF1PO
11,12
D13S317
8,10
D16S539
9,11
D5S818
10,11
D7S820
12
TH01
8,9
TPOX
8
vWA
18
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

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).

Systematic review: characteristics and preclinical uses of bladder cancer cell lines.

Zuiverloon T.C.M., de Jong F.C., Costello J.C., Theodorescu D.

Bladder Cancer 4:169-183(2018).

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).

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).