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Establishment of a new human myeloma cell line, KMS-18, having t(4;14)(p16.3;q32.3) derived from a case phenotypically transformed from Ig A-lambda to BJP-lambda, and associated with hyperammonemia.
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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=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)

DOI=10.1016/B978-0-12-221970-2.50457-5
Drexler H.G.
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PubMed=11368454; DOI=10.1038/sj.leu.2402097
Ronchetti D., Bogni S., Finelli P., Lombardi L., Otsuki T., Maiolo A.T., Neri A.
Characterization of the t(4;14)(p16.3;q32) in the KMS-18 multiple myeloma cell line.
Leukemia 15:864-865(2001)

PubMed=15215163; DOI=10.1016/S0002-9440(10)63276-2
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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)

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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
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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=18647998; DOI=10.1093/jncimonographs/lgn011
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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
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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 1:37-37(2008)

PubMed=19306352; DOI=10.1002/gcc.20660
Lionetti M., Agnelli L., Mosca L., Fabris S., Andronache A., Todoerti K., Ronchetti D., Deliliers G.L., 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
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The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.
Nature 483:603-607(2012)

PubMed=30894373; DOI=10.1158/0008-5472.CAN-18-2747
Dutil J., Chen Z., Monteiro A.N., 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)