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Cellosaurus KMS-12-BM (CVCL_1334)

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Cell line name KMS-12-BM
Synonyms KMS 12 BM; KMS-12BM; KMS12-BM; KMS12BM; KMS-12; KMS12; Kawasaki Medical School-12-Bone Marrow
Accession CVCL_1334
Resource Identification Initiative To cite this cell line use: KMS-12-BM (RRID:CVCL_1334)
Comments Part of: Cancer Dependency Map project (DepMap) (includes Cancer Cell Line Encyclopedia - CCLE).
Part of: COSMIC cell lines project.
Part of: LL-100 blood cancer cell line panel.
Part of: MD Anderson Cell Lines Project.
Population: Japanese.
Doubling time: 58 hours (PubMed=2519219); 60 hours (PubMed=25984343); ~60 hours (DSMZ=ACC-551); ~37 hours (Note=Lot 04072005), ~32 hours (Note=Lot 02142011), 1.5-4 days (Note=Lot 08172016) (JCRB=JCRB0429).
Microsatellite instability: Stable (MSS) (Sanger).
Omics: Array-based CGH.
Omics: Deep exome analysis.
Omics: Deep quantitative proteome analysis.
Omics: DNA methylation analysis.
Omics: Protein expression by reverse-phase protein arrays.
Omics: shRNA library screening.
Omics: SNP array analysis.
Omics: Transcriptome analysis by microarray.
Omics: Transcriptome analysis by RNAseq.
Derived from site: In situ; Bone marrow; UBERON=UBERON_0002371.
Cell type: B-cell; CL=CL_0000236.
Sequence variations
  • Mutation; HGNC; 11998; TP53; Simple; p.Arg337Leu (c.1010G>T); ClinVar=VCV000142828; Zygosity=Homozygous (PubMed=21173094; Cosmic-CLP=907281; DepMap=ACH-000380).
HLA typing Source: PubMed=25688540
Class I
HLA-AA*26,33
HLA-BB*35,44
HLA-CC*03,14

Source: PubMed=26589293
Class I
HLA-AA*26:01,33:03
HLA-BB*35:01,44:03
HLA-CC*03:03,14:03
Class II
HLA-DQDQA1*03:02,03:02
DQB1*04:01,04:01

Source: DSMZCellDive=ACC-551
Class I
HLA-AA*26:01:01,33:03:01
HLA-BB*35:01:01,44:03:01
HLA-CC*03:03:01,14:03
Class II
HLA-DQDQA1*01:02:01,03:03:01
HLA-DRDRA*01:01:01,01:02:02
DRB1*04:10:01,13:02:01
Genome ancestry Source: PubMed=30894373

Origin% genome
African0.01
Native American0
East Asian, North81.71
East Asian, South16.28
South Asian0
European, North0
European, South2
Disease Plasma cell myeloma (NCIt: C3242)
Multiple myeloma (ORDO: Orphanet_29073)
Species of origin Homo sapiens (Human) (NCBI Taxonomy: 9606)
Originate from same individual CVCL_1333 ! KMS-12-PE
Sex of cell Female
Age at sampling 64Y
Category Cancer cell line
STR profile Source(s): Cosmic-CLP=907281; DSMZ=ACC-551; JCRB=JCRB0429; PubMed=25877200

Markers:
AmelogeninX
CSF1PO9
D2S133818,20
D3S135816
D5S81814
D7S82011
D8S117910,16
D13S3178
D16S53911
D18S5114,15
D19S43313,14
D21S1130.2,32.2
FGA20
Penta D14
Penta E12,18
TH016,9
TPOX8,11
vWA14,16

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=2479409; DOI=10.1111/j.1365-2141.1989.tb00252.x
Ohtsuki T., Yawata Y., Wada H., Sugihara T., Mori M., Namba M.
Two human myeloma cell lines, amylase-producing KMS-12-PE and amylase-non-producing KMS-12-BM, were established from a patient, having the same chromosome marker, t(11;14)(q13;q32).
Br. J. Haematol. 73:199-204(1989)

PubMed=2519219
Ohtsuki T., Yawata Y., Namba M.
Establishment and characterization of five human myeloma cell lines.
Hum. Cell 2:297-303(1989)

PubMed=2768132; DOI=10.1007/BF02623725
Namba M., Ohtsuki T., Mori M., Togawa A., Wada H., Sugihara T., Yawata Y., Kimoto T.
Establishment of five human myeloma cell lines.
In Vitro Cell. Dev. Biol. 25:723-729(1989)

PubMed=8695815; DOI=10.1182/blood.V88.2.674.bloodjournal882674
Chesi M., Bergsagel P.L., Brents L.A., Smith C.M., Gerhard D.S., Kuehl W.M.
Dysregulation of cyclin D1 by translocation into an IgH gamma switch region in two multiple myeloma cell lines.
Blood 88:674-681(1996)

PubMed=9290701; DOI=10.1002/(SICI)1098-2744(199708)19:4<243::AID-MC5>3.0.CO;2-D
Jia L.-Q., Osada M., Ishioka C., Gamo M., Ikawa S., Suzuki T., Shimodaira H., Niitani T., Kudo T., Akiyama M., Kimura N., Matsuo M., Mizusawa H., Tanaka N., Koyama H., Namba M., Kanamaru R., Kuroki T.
Screening the p53 status of human cell lines using a yeast functional assay.
Mol. Carcinog. 19:243-253(1997)

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)

DOI=10.1007/0-306-46877-8_4
Jernberg-Wiklund H., Nilsson K.
Multiple myeloma cell lines.
(In book chapter) Human cell culture. Vol. 3. Cancer cell lines part 3; Masters J.R.W., Palsson B.O. (eds.); pp.81-155; Kluwer Academic Publishers; New York; USA (2000)

PubMed=10936422; DOI=10.1016/S0145-2126(99)00195-2
Drexler H.G., Matsuo Y.
Malignant hematopoietic cell lines: in vitro models for the study of multiple myeloma and plasma cell leukemia.
Leuk. Res. 24:681-703(2000)

PubMed=11039672
Otsuki T., Hata H., Harada N., Matsuzaki H., Yata K., Wada H., Yawata Y., Ueki A., Yamada O.
Cellular biological differences between human myeloma cell lines KMS-12-PE and KMS-12-BM established from a single patient.
Int. J. Hematol. 72:216-222(2000)

DOI=10.1016/B978-0-12-221970-2.50457-5
Drexler H.G.
The leukemia-lymphoma cell line factsbook.
(In book) ISBN 9780122219702; pp.1-733; Academic Press; London; United Kingdom (2001)

PubMed=15215163; DOI=10.1016/S0002-9440(10)63276-2; PMCID=PMC1618545
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=16956823
Bataille R., Jego G., Robillard N., Barille-Nion S., Harousseau J.-L., Moreau P., Amiot M., Pellat-Deceunynck C.
The phenotype of normal, reactive and malignant plasma cells Identification of 'many and multiple myelomas' and of new targets for myeloma therapy.
Haematologica 91:1234-1240(2006)

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; PMCID=PMC2083698
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.R., 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; PMCID=PMC2737184
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; PMCID=PMC2531129
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=21173094; DOI=10.3324/haematol.2010.033456; PMCID=PMC3069235
Moreaux J., Klein B., Bataille R., Descamps G., Maiga S., Hose D., Goldschmidt H., Jauch A., Reme T., Jourdan M., Amiot M., Pellat-Deceunynck C.
A high-risk signature for patients with multiple myeloma established from the molecular classification of human myeloma cell lines.
Haematologica 96:574-582(2011)

PubMed=22460905; DOI=10.1038/nature11003; PMCID=PMC3320027
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=22806891; DOI=10.1182/blood-2011-08-371567
Holien T., Vatsveen T.K., Hella H., Waage A., Sundan A.
Addiction to c-MYC in multiple myeloma.
Blood 120:2450-2453(2012)

PubMed=25984343; DOI=10.1038/sdata.2014.35; PMCID=PMC4432652
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=25688540; DOI=10.1002/cyto.a.22643
Maiga S., Brosseau C., Descamps G., Dousset C., Gomez-Bougie P., Chiron D., Menoret E., Kervoelen C., Vie H., Cesbron A., Moreau-Aubry A., Amiot M., Pellat-Deceunynck C.
A simple flow cytometry-based barcode for routine authentication of multiple myeloma and mantle cell lymphoma cell lines.
Cytometry A 87:285-288(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; PMCID=PMC4653878
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)

PubMed=27397505; DOI=10.1016/j.cell.2016.06.017; PMCID=PMC4967469
Iorio F., Knijnenburg T.A., Vis D.J., Bignell G.R., Menden M.P., Schubert M., Aben N., Goncalves E., Barthorpe S., Lightfoot H., Cokelaer T., Greninger P., van Dyk E., Chang H., de Silva H., Heyn H., Deng X.-M., Egan R.K., Liu Q.-S., Mironenko T., Mitropoulos X., Richardson L., Wang J.-H., Zhang T.-H., Moran S., Sayols S., Soleimani M., Tamborero D., Lopez-Bigas N., Ross-Macdonald P., Esteller M., Gray N.S., Haber D.A., Stratton M.R., Benes C.H., Wessels L.F.A., Saez-Rodriguez J., McDermott U., Garnett M.J.
A landscape of pharmacogenomic interactions in cancer.
Cell 166:740-754(2016)

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; Toronto; Canada

PubMed=28196595; DOI=10.1016/j.ccell.2017.01.005; PMCID=PMC5501076
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; PMCID=PMC6167786
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.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; PMCID=PMC6445675
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; PMCID=PMC6697103
Ghandi M., Huang F.W., Jane-Valbuena J., Kryukov G.V., Lo C.C., McDonald E.R. 3rd, 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=31160637; DOI=10.1038/s41598-019-44491-x; PMCID=PMC6547646
Quentmeier H., Pommerenke C., Dirks W.G., Eberth S., Koeppel M., MacLeod R.A.F., Nagel S., Steube K.G., Uphoff C.C., Drexler H.G.
The LL-100 panel: 100 cell lines for blood cancer studies.
Sci. Rep. 9:8218-8218(2019)

PubMed=31978347; DOI=10.1016/j.cell.2019.12.023; PMCID=PMC7339254
Nusinow D.P., Szpyt J., Ghandi M., Rose C.M., McDonald E.R. 3rd, Kalocsay M., Jane-Valbuena J., Gelfand E.T., Schweppe D.K., Jedrychowski M.P., Golji J., Porter D.A., Rejtar T., Wang Y.K., Kryukov G.V., Stegmeier F., Erickson B.K., Garraway L.A., Sellers W.R., Gygi S.P.
Quantitative proteomics of the Cancer Cell Line Encyclopedia.
Cell 180:387-402.e16(2020)

PubMed=32123307; DOI=10.1038/s41375-020-0785-1; PMCID=PMC7483300
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)

PubMed=35839778; DOI=10.1016/j.ccell.2022.06.010; PMCID=PMC9387775
Goncalves E., Poulos R.C., Cai Z.-X., Barthorpe S., Manda S.S., Lucas N., Beck A., Bucio-Noble D., Dausmann M., Hall C., Hecker M., Koh J., Lightfoot H., Mahboob S., Mali I., Morris J., Richardson L., Seneviratne A.J., Shepherd R., Sykes E., Thomas F., Valentini S., Williams S.G., Wu Y.-X., Xavier D., MacKenzie K.L., Hains P.G., Tully B., Robinson P.J., Zhong Q., Garnett M.J., Reddel R.R.
Pan-cancer proteomic map of 949 human cell lines.
Cancer Cell 40:835-849.e8(2022)

Cross-references
Cell line collections (Providers) DSMZ; ACC-551
IZSLER; BS TCL 240
JCRB; JCRB0429
Cell line databases/resources CLO; CLO_0009842
cancercelllines; CVCL_1334
Cell_Model_Passport; SIDM01020
CGH-DB; 28-1
CGH-DB; 9141-4
Cosmic-CLP; 907281
DepMap; ACH-000380
DSMZCellDive; ACC-551
LINCS_LDP; LCL-2043
Anatomy/cell type resources BTO; BTO:0006459
Biological sample resources BioSample; SAMN01821691
BioSample; SAMN03472933
BioSample; SAMN10988243
Chemistry resources ChEMBL-Cells; CHEMBL4295426
ChEMBL-Targets; CHEMBL4296455
GDSC; 907281
PharmacoDB; KMS12BM_763_2019
PubChem_Cell_line; CVCL_1334
Encyclopedic resources Wikidata; Q54900168
Experimental variables resources EFO; EFO_0006612
Gene expression databases ArrayExpress; E-MTAB-783
ArrayExpress; E-MTAB-2706
ArrayExpress; E-MTAB-2770
ArrayExpress; E-MTAB-3610
ArrayExpress; E-MTAB-7721
ArrayExpress; E-MTAB-7722
ArrayExpress; E-TABM-1088
GEO; GSM99382
GEO; GSM143346
GEO; GSM290295
GEO; GSM562812
GEO; GSM887221
GEO; GSM888295
GEO; GSM1374601
GEO; GSM1669994
Polymorphism and mutation databases Cosmic; 2081425
Cosmic; 2367302
IARC_TP53; 21435
LiGeA; CCLE_244
Progenetix; CVCL_1334
Proteomic databases PRIDE; PXD030239
PRIDE; PXD030304
Sequence databases EGA; EGAS00001000610
EGA; EGAS00001000978
Entry history
Entry creation04-Apr-2012
Last entry update10-Sep-2024
Version number43