KMRC-3Homo sapiens (Human)Cancer cell line

Also known as: KMRC3

🤖 AI SummaryBased on 5 publications

Quick Overview

Human kidney cancer cell line with potential for research in renal cell carcinoma.

Detailed Summary

KMRC-3 is a human kidney cancer cell line derived from renal cell carcinoma. It is used in research to study the molecular characteristics and genetic alterations associated with renal cell carcinoma. The cell line has been analyzed for its genomic profile, including copy number variations and mutations, which are critical for understanding the pathogenesis of kidney cancer. KMRC-3 is part of a panel of cell lines used to compare genomic data with primary tumors, aiding in the identification of key genetic features that may influence cancer progression and treatment response. Research on KMRC-3 contributes to the development of targeted therapies and the understanding of tumor biology in renal cell carcinoma.

Research Applications

Genomic profiling of renal cell carcinomaAnalysis of copy number variationsMutation analysis in kidney cancerComparative studies with primary tumors

Key Characteristics

Genomic alterations associated with renal cell carcinomaCopy number variations in key cancer genesMutation profiles relevant to kidney cancer
Generated on 6/19/2025

Basic Information

Database IDCVCL_2985
SpeciesHomo sapiens (Human)
Tissue SourceKidney[UBERON:UBERON_0002113]

Donor Information

Age CategoryAdult
SexMale
Raceasian

Disease Information

DiseaseClear cell renal carcinoma
LineageKidney
SubtypeRenal Clear Cell Carcinoma
OncoTree CodeCCRCC

DepMap Information

Source TypeHSRRB
Source IDACH-000313_source

Known Sequence Variations

TypeGene/ProteinDescriptionZygosityNoteSource
MutationSimpleVHLc.340+2T>CHomozygousSplice donor mutationUnknown

Haplotype Information (STR Profile)

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

Amelogenin
X,Y
CSF1PO
12
D13S317
12
D16S539
10
D5S818
10,12
D7S820
8,9
TH01
6,9
TPOX
11
vWA
15,16
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).

Analysis of renal cancer cell lines from two major resources enables genomics-guided cell line selection.

Hsieh J.J.-D., Hakimi A.A.

Nat. Commun. 8:15165.1-15165.10(2017).

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).

Downregulation of SAV1 plays a role in pathogenesis of high-grade clear cell renal cell carcinoma.

Mimata H., Seto M., Moriyama M.

BMC Cancer 11:523.1-523.10(2011).