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Genes Chromosomes Cancer 37:29-35(2003) PubMed=15153330; DOI=10.1593/neo.3292 Watts G.S., Oshiro M.M., Junk D.J., Wozniak R.J., Watterson S., Domann F.E., Futscher B.W. The acetyltransferase p300/CBP-associated factor is a p53 target gene in breast tumor cells. Neoplasia 6:187-194(2004) PubMed=15375546; DOI=10.3892/ijo.25.4.961 Peng X., Yun D., Christov K. Breast cancer progression in MCF10A series of cell lines is associated with alterations in retinoic acid and retinoid X receptors and with differential response to retinoids. Int. J. Oncol. 25:961-971(2004) PubMed=16271952; DOI=10.1016/j.cancergencyto.2005.04.019 Cowell J.K., LaDuca J., Rossi M.R., Burkhardt T., Nowak N.J., Matsui S.-I. Molecular characterization of the t(3;9) associated with immortalization in the MCF10A cell line. Cancer Genet. Cytogenet. 163:23-29(2005) PubMed=17157791; DOI=10.1016/j.ccr.2006.10.008 Neve R.M., Chin K., Fridlyand J., Yeh J., Baehner F.L., Fevr T., Clark L., Bayani N., Coppe J.-P., Tong F., Speed T., Spellman P.T., DeVries S., Lapuk A., Wang N.J., Kuo W.-L., Stilwell J.L., Pinkel D., Albertson D.G., Waldman F.M., McCormick F., Dickson R.B., Johnson M.D., Lippman M.E., Ethier S.P., Gazdar A.F., Gray J.W. A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes. Cancer Cell 10:515-527(2006) PubMed=17334996; DOI=10.1002/gcc.20438 Jonsson G., Staaf J., Olsson E., Heidenblad M., Vallon-Christersson J., Osoegawa K., de Jong P.J., Oredsson S., Ringner M., Hoglund M., Borg A. High-resolution genomic profiles of breast cancer cell lines assessed by tiling BAC array comparative genomic hybridization. Genes Chromosomes Cancer 46:543-558(2007) PubMed=19582160; DOI=10.1371/journal.pone.0006146 Kao J., Salari K., Bocanegra M., Choi Y.-L., Girard L., Gandhi J., Kwei K.A., Hernandez-Boussard T., Wang P., Gazdar A.F., Minna J.D., Pollack J.R. Molecular profiling of breast cancer cell lines defines relevant tumor models and provides a resource for cancer gene discovery. PLoS ONE 4:E6146-E6146(2009) PubMed=20169162; DOI=10.1371/journal.pone.0009201 Kadota M., Yang H.H., Gomez B., Sato M., Clifford R.J., Meerzaman D., Dunn B.K., Wakefield L.M., Lee M.P. Delineating genetic alterations for tumor progression in the MCF10A series of breast cancer cell lines. PLoS ONE 5:E9201-E9201(2010) PubMed=22414580; DOI=10.1158/0008-5472.CAN-11-3711 Geiger T., Madden S.F., Gallagher W.M., Cox J., Mann M. Proteomic portrait of human breast cancer progression identifies novel prognostic markers. Cancer Res. 72:2428-2439(2012) PubMed=24009699; DOI=10.1371/journal.pone.0072704 Liu X., Nie H., Zhang Y.-B., Yao Y.-F., Maitikabili A., Qu Y.-P., Shi S.-L., Chen C.-Y., Li Y. Cell surface-specific N-glycan profiling in breast cancer. PLoS ONE 8:E72704-E72704(2013) PubMed=24094812; DOI=10.1016/j.ccr.2013.08.020 Timmerman L.A., Holton T., Yuneva M., Louie R.J., Padro M., Daemen A., Hu M., Chan D.A., Ethier S.P., van 't Veer L.J., Polyak K., McCormick F., Gray J.W. Glutamine sensitivity analysis identifies the xCT antiporter as a common triple-negative breast tumor therapeutic target. Cancer Cell 24:450-465(2013) PubMed=24162158; DOI=10.1007/s10549-013-2743-3 Prat A., Karginova O., Parker J.S., Fan C., He X.-P., Bixby L.M., Harrell J.C., Roman E., Adamo B., Troester M.A., Perou C.M. Characterization of cell lines derived from breast cancers and normal mammary tissues for the study of the intrinsic molecular subtypes. Breast Cancer Res. Treat. 142:237-255(2013) PubMed=24176112; DOI=10.1186/gb-2013-14-10-r110 Daemen A., Griffith O.L., Heiser L.M., Wang N.J., Enache O.M., Sanborn Z., Pepin F., Durinck S., Korkola J.E., Griffith M., Hur J.S., Huh N., Chung J., Cope L., Fackler M.J., Umbricht C.B., Sukumar S., Seth P., Sukhatme V.P., Jakkula L.R., Lu Y.-L., Mills G.B., Cho R.J., Collisson E.A., van 't Veer L.J., Spellman P.T., Gray J.W. Modeling precision treatment of breast cancer. Genome Biol. 14:R110.1-R110.14(2013) PubMed=24262153; DOI=10.1016/j.jprot.2013.11.006 Yen T.-Y., Haste N., Timpe L.C., Litsakos-Cheung C., Yen R., Macher B.A. Using a cell line breast cancer progression system to identify biomarker candidates. J. Proteomics 96:173-183(2014) PubMed=24389870; DOI=10.1038/srep03576 Strauch M., Ludke A., Munch D., Laudes T., Galizia C.G., Martinelli E., Lavra L., Paolesse R., Ulivieri A., Catini A., Capuano R., Di Natale C. More than apples and oranges -- detecting cancer with a fruit fly's antenna. Sci. Rep. 4:3576-3576(2014) 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=25892236; DOI=10.1016/j.celrep.2015.03.050 Lawrence R.T., Perez E.M., Hernandez D., Miller C.P., Haas K.M., Irie H.Y., Lee S.-I., Blau C.A., Villen J. The proteomic landscape of triple-negative breast cancer. Cell Rep. 11:630-644(2015) PubMed=26055192; DOI=10.1021/acs.jproteome.5b00375 Cifani P., Kirik U., Waldemarson S., James P. Molecular portrait of breast-cancer-derived cell lines reveals poor similarity with tumors. J. Proteome Res. 14:2819-2827(2015) PubMed=26218769; DOI=10.1016/j.jchromb.2015.07.021 Willmann L., Schlimpert M., Halbach S., Erbes T., Stickeler E., Kammerer B. Metabolic profiling of breast cancer: differences in central metabolism between subtypes of breast cancer cell lines. J. Chromatogr. B 1000:95-104(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=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=28287265; DOI=10.1021/acs.jproteome.6b00470 Yen T.-Y., Bowen S., Yen R., Piryatinska A., Macher B.A., Timpe L.C. Glycoproteins in claudin-low breast cancer cell lines have a unique expression profile. J. Proteome Res. 16:1391-1400(2017) PubMed=28596718; DOI=10.1007/s11306-017-1213-z Herman S., Emami Khoonsari P., Aftab O., Krishnan S., Strombom E., Larsson R., Hammerling U., Spjuth O., Kultima K., Gustafsson M. Mass spectrometry based metabolomics for in vitro systems pharmacology: pitfalls, challenges, and computational solutions. Metabolomics 13:79-79(2017) PubMed=28889351; DOI=10.1007/s10549-017-4496-x Saunus J.M., Smart C.E., Kutasovic J.R., Johnston R.L., Kalita-de Croft P., Miranda M., Rozali E.N., Vargas A.C., Reid L.E., Lorsy E., Cocciardi S., Seidens T., McCart Reed A.E., Dalley A.J., Wockner L.F., Johnson J., Sarkar D., Askarian-Amiri M.E., Simpson P.T., Khanna K.K., Chenevix-Trench G., Al-Ejeh F., Lakhani S.R. Multidimensional phenotyping of breast cancer cell lines to guide preclinical research. Breast Cancer Res. Treat. 167:289-301(2018) PubMed=29273624; DOI=10.1101/gr.226019.117 Franco H.L., Nagari A., Malladi V.S., Li W.-Q., Xi Y.-X., Richardson D., Allton K.L., Tanaka K., Li J., Murakami S., Keyomarsi K., Bedford M.T., Shi X.-B., Li W., Barton M.C., Dent S.Y.R., Kraus W.L. Enhancer transcription reveals subtype-specific gene expression programs controlling breast cancer pathogenesis. Genome Res. 28:159-170(2018) PubMed=29444910; DOI=10.1530/ERC-17-0445 Hofving T., Arvidsson Y., Almobarak B., Inge L., Pfragner R., Persson M., Stenman G., Kristiansson E., Johanson V., Nilsson O. The neuroendocrine phenotype, genomic profile and therapeutic sensitivity of GEPNET cell lines. Endocr. Relat. Cancer 25:367-380(2018) PubMed=29561695; DOI=10.1080/15384047.2018.1449612 Chen Z.-J., Ai L.-B., Mboge M.Y., McKenna R., Frost C.J., Heldermon C.D., Frost S.C. UFH-001 cells: a novel triple negative, CAIX-positive, human breast cancer model system. Cancer Biol. Ther. 19:598-608(2018) PubMed=30787054; DOI=10.1158/1055-9965.EPI-18-1132 Hooker S.E. Jr., Woods-Burnham L., Bathina M., Lloyd S.M., Gorjala P., Mitra R., Nonn L., Kimbro K.S., Kittles R. Genetic ancestry analysis reveals misclassification of commonly used cancer cell lines. Cancer Epidemiol. Biomarkers Prev. 28:1003-1009(2019) PubMed=32782317; DOI=10.1038/s41598-020-70393-4 Risha Y., Minic Z., Ghobadloo S.M., Berezovski M.V. The proteomic analysis of breast cell line exosomes reveals disease patterns and potential biomarkers. Sci. Rep. 10:13572-13572(2020) PubMed=34238275; DOI=10.1186/s12885-021-08511-2 Samson J., Derlipanska M., Zaheed O., Dean K. Molecular and cellular characterization of two patient-derived ductal carcinoma in situ (DCIS) cell lines, ETCC-006 and ETCC-010. BMC Cancer 21:790.1-790.20(2021) |
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