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Cellosaurus KPL-4 (CVCL_5310)

[Text version]
Cell line name KPL-4
Synonyms KPL4
Accession CVCL_5310
Resource Identification Initiative To cite this cell line use: KPL-4 (RRID:CVCL_5310)
Comments Part of: JFCR45 cancer cell line panel.
Population: Japanese.
Characteristics: ER-negative, PR-negative and ERBB2-positive.
Doubling time: ~30 hours (PubMed=10070858).
Microsatellite instability: Stable (MSS) (PubMed=23671654).
Omics: Deep exome analysis.
Omics: SNP array analysis.
Omics: Transcriptome analysis by microarray.
Omics: Transcriptome analysis by RNAseq.
Derived from site: Metastatic; Pleural effusion; UBERON=UBERON_0000175.
HLA typing Source: PubMed=25960936
Class I
Class II

Source: PubMed=26589293
Class I
Disease Breast inflammatory carcinoma (NCIt: C4001)
Species of origin Homo sapiens (Human) (NCBI Taxonomy: 9606)
Sex of cell Female
Age at sampling 52Y
Category Cancer cell line
STR profile Source(s): PubMed=25877200

Penta D10,14
Penta E11,12

Run an STR similarity search on this cell line
Web pages http://www.cells-talk.com/index.php/page/copelibrary?key=KPL-4

PubMed=10070858; DOI=10.1038/sj.bjc.6690114
Kurebayashi J., Otsuki T., Tang C.K., Kurosumi M., Yamamoto S., Tanaka K., Mochizuki M., Nakamura H., Sonoo H.
Isolation and characterization of a new human breast cancer cell line, KPL-4, expressing the Erb B family receptors and interleukin-6.
Br. J. Cancer 79:707-717(1999)

PubMed=15767549; DOI=10.1158/1535-7163.MCT-04-0234
Nakatsu N., Yoshida Y., Yamazaki K., Nakamura T., Dan S., Fukui Y., Yamori T.
Chemosensitivity profile of cancer cell lines and identification of genes determining chemosensitivity by an integrated bioinformatical approach using cDNA arrays.
Mol. Cancer Ther. 4:399-412(2005)

PubMed=21247443; DOI=10.1186/gb-2011-12-1-r6
Edgren H., Murumagi A., Kangaspeska S., Nicorici D., Hongisto V., Kleivi K., Rye I.H., Nyberg S., Wolf M., Borresen-Dale A.-L., Kallioniemi O.-P.
Identification of fusion genes in breast cancer by paired-end RNA-sequencing.
Genome Biol. 12:R6.1-R6.13(2011)

Robertson F.M., Chu K., Fernandez S.V., Mu Z.-M., Zhang X.-J., Liu H., Boley K.M., Alpaugh R.K., Ye Z.-M., Wright M.C., Luo A.Z., Oraes R., Wu H., Zook M., Barsky S.H., Krishnamurthy S., Cristofanilli M.
Genomic profiling of pre-clinical models of inflammatory breast cancer identifies a signature of epithelial plasticity and suppression of TGFbeta signaling.
J. Clin. Exp. Pathol. 2:119.1-119.11(2012)

PubMed=23671654; DOI=10.1371/journal.pone.0063056
Lu Y.-H., Soong T.D., Elemento O.
A novel approach for characterizing microsatellite instability in cancer cells.
PLoS ONE 8:E63056-E63056(2013)

PubMed=23784380; DOI=10.1007/s10549-013-2600-4
Fernandez S.V., Robertson F.M., Pei J.-M., Aburto-Chumpitaz L., Mu Z.-M., Chu K., Alpaugh R.K., Huang Y., Cao Y., Ye Z.-M., Cai K.Q., Boley K.M., Klein-Szanto A.J.P., Devarajan K., Addya S., Cristofanilli M.
Inflammatory breast cancer (IBC): clues for targeted therapies.
Breast Cancer Res. Treat. 140:23-33(2013)

PubMed=25960936; DOI=10.4161/21624011.2014.954893
Boegel S., Lower M., Bukur T., Sahin U., Castle J.C.
A catalog of HLA type, HLA expression, and neo-epitope candidates in human cancer cell lines.
OncoImmunology 3:e954893.1-e954893.12(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=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)

PubMed=35042871; DOI=10.1038/s41523-021-00379-6
Rypens C., Bertucci F., Finetti P., Robertson F.M., Fernandez S.V., Ueno N.T., Woodward W.A., Van Golen K., Vermeulen P., Dirix L., Viens P., Birnbaum D., Devi G.R., Cristofanilli M., Van Laere S.
Comparative transcriptional analyses of preclinical models and patient samples reveal MYC and RELA driven expression patterns that define the molecular landscape of IBC.
NPJ Breast Cancer 8:12.1-12.12(2022)

Biological sample resources BioSample; SAMN03471036
BioSample; SAMN03473250
Chemistry resources PharmacoDB; KPL4_791_2019
Encyclopedic resources Wikidata; Q54900438
Experimental variables resources EFO; EFO_0006624
Gene expression databases ArrayExpress; E-MTAB-2706
ArrayExpress; E-MTAB-11134
GEO; GSM590107
GEO; GSM1374604
Polymorphism and mutation databases Progenetix; CVCL_5310
Sequence databases EGA; EGAS00001000610
EGA; EGAS00001002554
Entry history
Entry creation04-Apr-2012
Last entry update29-Jun-2023
Version number25