VMRC-RCWHomo sapiens (Human)Cancer cell line

Also known as: Virginia Mason Research Center-Renal Cancer W, Thomas Wirts, VMRCRCW

🤖 AI SummaryBased on 6 publications

Quick Overview

Renal cell carcinoma cell line with potential for research in cancer genomics and drug sensitivity.

Detailed Summary

VMRC-RCW is a renal cell carcinoma (RCC) cell line derived from human tissue. It is part of a large panel of RCC cell lines used to study the genomic and molecular characteristics of kidney cancers. Research on VMRC-RCW has focused on understanding the genetic alterations and copy number variations that contribute to RCC progression. This cell line has been utilized in studies examining the relationship between genomic profiles and drug sensitivity, particularly in the context of targeted therapies. VMRC-RCW is noted for its specific genetic features, including the absence of 3p loss, which is a common feature in many RCC cell lines. This characteristic may influence its utility in studies related to tumor biology and therapeutic response. The cell line's genetic profile provides insights into the heterogeneity of RCC and aids in the development of personalized treatment strategies.

Research Applications

Genomic profiling of renal cell carcinomaDrug sensitivity testingCopy number variation analysisMolecular characterization of tumor biology

Key Characteristics

Absence of 3p lossPotential for studying tumor heterogeneityRelevance to renal cancer genomics
Generated on 6/17/2025

Basic Information

Database IDCVCL_1790
SpeciesHomo sapiens (Human)

Donor Information

Age CategoryUnknown
SexMale

Disease Information

DiseaseRenal cell carcinoma
LineageKidney
SubtypeRenal Cell Carcinoma
OncoTree CodeRCC

DepMap Information

Source TypeRIKEN
Source IDACH-000484_source

Haplotype Information (STR Profile)

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

Amelogenin
X,Y
CSF1PO
11,12
D13S317
9
D16S539
11,15
D18S51
15,16
D19S433
13
D21S11
32.2,33.2
D2S1338
21,22
D3S1358
18
D5S818
12
D7S820
8,10
D8S1179
12
FGA
21,22
Penta D
9,11
Penta E
11,12
TH01
6,9.3
TPOX
8
vWA
14,15
Gene Expression Profile
Gene expression levels and statistical distribution
Loading cohorts...
Full DepMap dataset with combined data across cell lines

Loading gene expression data...

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).

Quantitative proteomics of the Cancer Cell Line Encyclopedia.";

Sellers W.R., Gygi S.P.

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

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).

A landscape of pharmacogenomic interactions in cancer.";

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

Cell 166:740-754(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).

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).

A genome-wide screen for microdeletions reveals disruption of polarity complex genes in diverse human cancers.

Haber D.A.

Cancer Res. 70:2158-2164(2010).

PTEN/MMAC1/TEP1 mutations in human primary renal-cell carcinomas and renal carcinoma cell lines.

Nakatani Y., Hosaka M.

Int. J. Cancer 91:219-224(2001).

Expression of the SART1 tumor rejection antigen in renal cell carcinoma.

Yoshizumi O., Itoh K.

Urol. Res. 28:178-184(2000).

Screening the p53 status of human cell lines using a yeast functional assay.

Mizusawa H., Tanaka N., Koyama H., Namba M., Kanamaru R., Kuroki T.

Mol. Carcinog. 19:243-253(1997).