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Cellosaurus KMS-20 (CVCL_2990)

[Text version]
Cell line name KMS-20
Synonyms KMS20; Kawasaki Medical School-20
Accession CVCL_2990
Resource Identification Initiative To cite this cell line use: KMS-20 (RRID:CVCL_2990)
Comments Part of: Cancer Dependency Map project (DepMap) (includes Cancer Cell Line Encyclopedia - CCLE).
Part of: MD Anderson Cell Lines Project.
Population: Japanese.
Doubling time: 60 hours (PubMed=25984343).
Omics: Array-based CGH.
Omics: Deep exome analysis.
Omics: Protein expression by reverse-phase protein arrays.
Omics: SNP array analysis.
Omics: Transcriptome analysis by microarray.
Omics: Transcriptome analysis by RNAseq.
Derived from site: In situ; Bone marrow; UBERON=UBERON_0002371.
Sequence variations
  • Mutation; HGNC; 6407; KRAS; Simple; p.Gly12Ser (c.34G>A); ClinVar=VCV000012584; Zygosity=Homozygous (DepMap).
  • Mutation; HGNC; 11998; TP53; Simple; p.Tyr126Ter (c.378C>G); ClinVar=VCV000578988; Zygosity=Unspecified (DepMap).
HLA typing Source: PubMed=26589293
Class I
HLA-AA*11:01,26:01
HLA-BB*40:01,67:01
HLA-CC*07:02,07:02
Genome ancestry Source: PubMed=30894373

Origin% genome
African0
Native American0.24
East Asian, North84.32
East Asian, South14.3
South Asian0.32
European, North0
European, South0.81
Disease Plasma cell myeloma (NCIt: C3242)
Multiple myeloma (ORDO: Orphanet_29073)
Species of origin Homo sapiens (Human) (NCBI Taxonomy: 9606)
Sex of cell Female
Age at sampling 65Y
Category Cancer cell line
STR profile Source(s): JCRB

Markers:
AmelogeninX
CSF1PO12,13
D5S8189,13
D7S82012
D13S3178
D16S5399
TH017
TPOX8,9
vWA17

Run an STR similarity search on this cell line
Web pages https://www.keatslab.org/myeloma-cell-lines/hmcl-characteristics
https://tcpaportal.org/mclp/
Publications

DOI=10.1002/1438-826X(200005)1:1<48::AID-GNFD48>3.0.CO;2-B
Otsuki T., Yamada O., Yata K., Nakazawa N., Taniwaki M., Sakaguchi H., Yawata Y., Ueki A.
Genetic and biological characterization of human myeloma cell lines: an overview of the lines established at Kawasaki Medical School.
Gene Funct. Dis. 1:48-56(2000)

PubMed=15215163; DOI=10.1016/S0002-9440(10)63276-2
Inoue J., Otsuki T., Hirasawa A., Imoto I., Matsuo Y., Shimizu S., Taniwaki M., Inazawa J.
Overexpression of PDZK1 within the 1q12-q22 amplicon is likely to be associated with drug-resistance phenotype in multiple myeloma.
Am. J. Pathol. 165:71-81(2004)

PubMed=17171682; DOI=10.1002/gcc.20404
Lombardi L., Poretti G., Mattioli M., Fabris S., Agnelli L., Bicciato S., Kwee I., Rinaldi A., Ronchetti D., Verdelli D., Lambertenghi-Deliliers G., Bertoni F., Neri A.
Molecular characterization of human multiple myeloma cell lines by integrative genomics: insights into the biology of the disease.
Genes Chromosomes Cancer 46:226-238(2007)

PubMed=17692805; DOI=10.1016/j.ccr.2007.07.003
Keats J.J., Fonseca R., Chesi M., Schop R., Baker A., Chng W.-J., Van Wier S., Tiedemann R., Shi C.-X., Sebag M., Braggio E., Henry T., Zhu Y.-X., Fogle H., Price-Troska T.L., Ahmann G.J., Mancini C., Brents L.A., Kumar S.K., Greipp P., Dispenzieri A., Bryant B., Mulligan G., Bruhn L., Barrett M.T., Valdez R., Trent J.M., Stewart A.K., Carpten J.D., Bergsagel P.L.
Promiscuous mutations activate the noncanonical NF-kappaB pathway in multiple myeloma.
Cancer Cell 12:131-144(2007)

PubMed=18700954; DOI=10.1186/1755-8794-1-37
Ronchetti D., Lionetti M., Mosca L., Agnelli L., Andronache A., Fabris S., Lambertenghi-Deliliers G., Neri A.
An integrative genomic approach reveals coordinated expression of intronic miR-335, miR-342, and miR-561 with deregulated host genes in multiple myeloma.
BMC Med. Genomics 1:37.1-37.9(2008)

PubMed=19306352; DOI=10.1002/gcc.20660
Lionetti M., Agnelli L., Mosca L., Fabris S., Andronache A., Todoerti K., Ronchetti D., Lambertenghi-Deliliers G., Neri A.
Integrative high-resolution microarray analysis of human myeloma cell lines reveals deregulated miRNA expression associated with allelic imbalances and gene expression profiles.
Genes Chromosomes Cancer 48:521-531(2009)

PubMed=22460905; DOI=10.1038/nature11003
Barretina J.G., Caponigro G., Stransky N., Venkatesan K., Margolin A.A., Kim S., Wilson C.J., Lehar J., Kryukov G.V., Sonkin D., Reddy A., Liu M., Murray L., Berger M.F., Monahan J.E., Morais P., Meltzer J., Korejwa A., Jane-Valbuena J., Mapa F.A., Thibault J., Bric-Furlong E., Raman P., Shipway A., Engels I.H., Cheng J., Yu G.-Y.K., Yu J.-J., Aspesi P. Jr., de Silva M., Jagtap K., Jones M.D., Wang L., Hatton C., Palescandolo E., Gupta S., Mahan S., Sougnez C., Onofrio R.C., Liefeld T., MacConaill L.E., Winckler W., Reich M., Li N.-X., Mesirov J.P., Gabriel S.B., Getz G., Ardlie K., Chan V., Myer V.E., Weber B.L., Porter J., Warmuth M., Finan P., Harris J.L., Meyerson M.L., Golub T.R., Morrissey M.P., Sellers W.R., Schlegel R., Garraway L.A.
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.
Nature 483:603-607(2012)

PubMed=25984343; DOI=10.1038/sdata.2014.35
Cowley G.S., Weir B.A., Vazquez F., Tamayo P., Scott J.A., Rusin S., East-Seletsky A., Ali L.D., Gerath W.F.J., Pantel S.E., Lizotte P.H., Jiang G.-Z., Hsiao J., Tsherniak A., Dwinell E., Aoyama S., Okamoto M., Harrington W., Gelfand E.T., Green T.M., Tomko M.J., Gopal S., Wong T.C., Li H.-B., Howell S., Stransky N., Liefeld T., Jang D., Bistline J., Meyers B.H., Armstrong S.A., Anderson K.C., Stegmaier K., Reich M., Pellman D., Boehm J.S., Mesirov J.P., Golub T.R., Root D.E., Hahn W.C.
Parallel genome-scale loss of function screens in 216 cancer cell lines for the identification of context-specific genetic dependencies.
Sci. Data 1:140035-140035(2014)

PubMed=26589293; DOI=10.1186/s13073-015-0240-5
Scholtalbers J., Boegel S., Bukur T., Byl M., Goerges S., Sorn P., Loewer M., Sahin U., Castle J.C.
TCLP: an online cancer cell line catalogue integrating HLA type, predicted neo-epitopes, virus and gene expression.
Genome Med. 7:118.1-118.7(2015)

CLPUB00604
Chow S.
Targeted capture and sequencing of immunoglobulin rearrangements in multiple myeloma to enable detection of minimal residual disease.
Thesis MSc (2017), University of Toronto, Canada

PubMed=28196595; DOI=10.1016/j.ccell.2017.01.005
Li J., Zhao W., Akbani R., Liu W.-B., Ju Z.-L., Ling S.-Y., Vellano C.P., Roebuck P., Yu Q.-H., Eterovic A.K., Byers L.A., Davies M.A., Deng W.-L., Gopal Y.N.V., Chen G., von Euw E.M., Slamon D.J., Conklin D., Heymach J.V., Gazdar A.F., Minna J.D., Myers J.N., Lu Y.-L., Mills G.B., Liang H.
Characterization of human cancer cell lines by reverse-phase protein arrays.
Cancer Cell 31:225-239(2017)

PubMed=30285677; DOI=10.1186/s12885-018-4840-5
Tan K.-T., Ding L.-W., Sun Q.-Y., Lao Z.-T., Chien W., Ren X., Xiao J.-F., Loh X.-Y., Xu L., Lill M., Mayakonda A., Lin D.-C., Yang H., Koeffler H.P.
Profiling the B/T cell receptor repertoire of lymphocyte derived cell lines.
BMC Cancer 18:940.1-940.13(2018)

PubMed=30894373; DOI=10.1158/0008-5472.CAN-18-2747
Dutil J., Chen Z.-H., Monteiro A.N.A., Teer J.K., Eschrich S.A.
An interactive resource to probe genetic diversity and estimated ancestry in cancer cell lines.
Cancer Res. 79:1263-1273(2019)

PubMed=31068700; DOI=10.1038/s41586-019-1186-3
Ghandi M., Huang F.W., Jane-Valbuena J., Kryukov G.V., Lo C.C., McDonald E.R. III, Barretina J.G., Gelfand E.T., Bielski C.M., Li H.-X., Hu K., Andreev-Drakhlin A.Y., Kim J., Hess J.M., Haas B.J., Aguet F., Weir B.A., Rothberg M.V., Paolella B.R., Lawrence M.S., Akbani R., Lu Y.-L., Tiv H.L., Gokhale P.C., de Weck A., Mansour A.A., Oh C., Shih J., Hadi K., Rosen Y., Bistline J., Venkatesan K., Reddy A., Sonkin D., Liu M., Lehar J., Korn J.M., Porter D.A., Jones M.D., Golji J., Caponigro G., Taylor J.E., Dunning C.M., Creech A.L., Warren A.C., McFarland J.M., Zamanighomi M., Kauffmann A., Stransky N., Imielinski M., Maruvka Y.E., Cherniack A.D., Tsherniak A., Vazquez F., Jaffe J.D., Lane A.A., Weinstock D.M., Johannessen C.M., Morrissey M.P., Stegmeier F., Schlegel R., Hahn W.C., Getz G., Mills G.B., Boehm J.S., Golub T.R., Garraway L.A., Sellers W.R.
Next-generation characterization of the Cancer Cell Line Encyclopedia.
Nature 569:503-508(2019)

PubMed=32123307; DOI=10.1038/s41375-020-0785-1
Sarin V., Yu K., Ferguson I.D., Gugliemini O., Nix M.A., Hann B., Sirota M., Wiita A.P.
Evaluating the efficacy of multiple myeloma cell lines as models for patient tumors via transcriptomic correlation analysis.
Leukemia 34:2754-2765(2020)

Cross-references
Cell line collections (Providers) JCRB; JCRB1196
JCRB; NIHS0484 - Discontinued
Cell line databases/resources cancercelllines; CVCL_2990
Cell_Model_Passport; SIDM01575
CGH-DB; 23-1
CGH-DB; 9135-4
DepMap; ACH-000426
Biological sample resources BioSample; SAMN03472431
BioSample; SAMN10988070
Chemistry resources PharmacoDB; KMS20_766_2019
Encyclopedic resources Wikidata; Q54900171
Gene expression databases ArrayExpress; E-MTAB-2770
GEO; GSM143350
GEO; GSM290297
GEO; GSM887223
GEO; GSM888297
Polymorphism and mutation databases Cosmic; 2081393
IARC_TP53; 28391
LiGeA; CCLE_068
Progenetix; CVCL_2990
Entry history
Entry creation04-Apr-2012
Last entry update05-Oct-2023
Version number29