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Cellosaurus KMS-34 (CVCL_2996)

[Text version]
Cell line name KMS-34
Synonyms KMS34; Kawasaki Medical School-34
Accession CVCL_2996
Resource Identification Initiative To cite this cell line use: KMS-34 (RRID:CVCL_2996)
Comments Part of: Cancer Dependency Map project (DepMap) (includes Cancer Cell Line Encyclopedia - CCLE).
Part of: MD Anderson Cell Lines Project.
Population: Japanese.
Characteristics: Produces IgA kappa.
Doubling time: 100 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; Pleural effusion; UBERON=UBERON_0000175.
Sequence variations
  • Mutation; HGNC; 11998; TP53; Simple; p.Trp146Ter (c.438G>A); ClinVar=VCV000428890; Zygosity=Homozygous (DepMap).
HLA typing Source: PubMed=26589293
Class I
HLA-AA*24:02,24:02
HLA-BB*52:01,52:01
HLA-CC*12:02,12:02
Genome ancestry Source: PubMed=30894373

Origin% genome
African0
Native American0.47
East Asian, North71.46
East Asian, South28.03
South Asian0
European, North0.05
European, South0
Disease Plasma cell myeloma (NCIt: C3242)
Multiple myeloma (ORDO: Orphanet_29073)
Species of origin Homo sapiens (Human) (NCBI Taxonomy: 9606)
Hierarchy Children:
CVCL_IQ85 (KMS-34/Cfz)CVCL_A5SA (KMS-34-SCC1)CVCL_A5SB (KMS-34-SCC2)
Sex of cell Female
Age at sampling 60Y
Category Cancer cell line
STR profile Source(s): JCRB; PubMed=25877200

Markers:
AmelogeninX
CSF1PO12
D3S135815,17
D5S81812
D7S82010,11
D8S117912,13
D13S3178
D16S53910,13 (PubMed=25877200)
10,13,14 (JCRB)
D18S5113,15
D21S1132.2
FGA24
Penta D9,13
Penta E14,16
TH017,9
TPOX8,9
vWA14 (JCRB)
14,17 (PubMed=25877200)

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

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=18647998; DOI=10.1093/jncimonographs/lgn011
Dib A., Gabrea A., Glebov O.K., Bergsagel P.L., Kuehl W.M.
Characterization of MYC translocations in multiple myeloma cell lines.
J. Natl. Cancer Inst. Monogr. 39:25-31(2008)

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=25485619; DOI=10.1038/nbt.3080
Klijn C., Durinck S., Stawiski E.W., Haverty P.M., Jiang Z.-S., Liu H.-B., Degenhardt J., Mayba O., Gnad F., Liu J.-F., Pau G., Reeder J., Cao Y., Mukhyala K., Selvaraj S.K., Yu M.-M., Zynda G.J., Brauer M.J., Wu T.D., Gentleman R.C., Manning G., Yauch R.L., Bourgon R., Stokoe D., Modrusan Z., Neve R.M., de Sauvage F.J., Settleman J., Seshagiri S., Zhang Z.-M.
A comprehensive transcriptional portrait of human cancer cell lines.
Nat. Biotechnol. 33:306-312(2015)

PubMed=25877200; DOI=10.1038/nature14397
Yu M., Selvaraj S.K., Liang-Chu M.M.Y., Aghajani S., Busse M., Yuan J., Lee G., Peale F.V., Klijn C., Bourgon R., Kaminker J.S., Neve R.M.
A resource for cell line authentication, annotation and quality control.
Nature 520:307-311(2015)

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; JCRB1195
Cell line databases/resources cancercelllines; CVCL_2996
Cell_Model_Passport; SIDM01473
CGH-DB; 26-1
CGH-DB; 9139-4
DepMap; ACH-000541
Biological sample resources BioSample; SAMN03472430
BioSample; SAMN03472927
BioSample; SAMN10987826
Chemistry resources PharmacoDB; KMS34_772_2019
Encyclopedic resources Wikidata; Q54900182
Experimental variables resources EFO; EFO_0006619
Gene expression databases ArrayExpress; E-MTAB-2706
ArrayExpress; E-MTAB-2770
GEO; GSM143332
GEO; GSM290301
GEO; GSM887228
GEO; GSM888302
GEO; GSM1692596
GEO; GSM1692597
GEO; GSM1692598
Polymorphism and mutation databases Cosmic; 2081395
Cosmic; 2367284
Cosmic; 2391796
IARC_TP53; 28382
LiGeA; CCLE_142
Progenetix; CVCL_2996
Sequence databases EGA; EGAS00001000610
EGA; EGAS00001002554
Entry history
Entry creation04-Apr-2012
Last entry update05-Oct-2023
Version number31