KMRC-2Homo sapiens (Human)Cancer cell line
Also known as: KMRC2
🤖 AI SummaryBased on 6 publications
Quick Overview
Human renal cell carcinoma cell line with potential for research in cancer genomics and drug sensitivity.
Detailed Summary
KMRC-2 is a human renal cell carcinoma (RCC) cell line derived from clear cell RCC (ccRCC). It is part of a panel of cell lines used to study the genomic and molecular characteristics of RCC, particularly in relation to copy number alterations (CNAs) and mutations in key cancer genes. Research has shown that KMRC-2 exhibits specific genetic features, including potential alterations in the 3p region, which is commonly associated with ccRCC. The cell line is utilized in studies investigating the relationship between genomic profiles and drug sensitivity, as well as in understanding the molecular mechanisms underlying RCC progression. Its use in these studies contributes to the development of targeted therapies and personalized medicine approaches for RCC patients.
Research Applications
Genomic profiling of renal cell carcinomaDrug sensitivity testingMolecular mechanisms of RCC progression
Key Characteristics
Potential 3p region alterationsRelevance to clear cell RCCUtilized in CNA and mutation studies
Generated on 6/19/2025
Basic Information
Database ID | CVCL_2984 |
---|---|
Species | Homo sapiens (Human) |
Tissue Source | Kidney[UBERON:UBERON_0002113] |
Donor Information
Age Category | Adult |
---|---|
Sex | Male |
Race | asian |
Disease Information
Disease | Clear cell renal carcinoma |
---|---|
Lineage | Kidney |
Subtype | Renal Clear Cell Carcinoma |
OncoTree Code | CCRCC |
DepMap Information
Source Type | HSRRB |
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Source ID | ACH-000709_source |
Haplotype Information (STR Profile)
Short Tandem Repeat (STR) profile for cell line authentication.
Amelogenin
X
CSF1PO
11,13
D13S317
12
D16S539
9,11
D18S51
13,16
D19S433
13.2,14
D21S11
29
D2S1338
18,23
D3S1358
15
D5S818
11,14
D7S820
10,11
D8S1179
14,15
FGA
23,24
Penta D
12
Penta E
19,20
TH01
7,9
TPOX
8
vWA
14,18
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
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).
A resource for cell line authentication, annotation and quality control.
Neve R.M.
Nature 520:307-311(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).