title: Assessment of cancer cell line representativeness using microarrays for Merkel cell carcinoma.
abstract: When using cell lines to study cancer, phenotypic similarity to the original tumor is paramount. Yet, little has been done to characterize how closely Merkel cell carcinoma (MCC) cell lines model native tumors. To determine their similarity to MCC tumor samples, we characterized MCC cell lines via gene expression microarrays. Using whole transcriptome gene expression signatures and a computational bioinformatic approach, we identified significant differences between variant cell lines (UISO, MCC13, and MCC26) and fresh frozen MCC tumors. Conversely, the classic WaGa and Mkl-1 cell lines more closely represented the global transcriptome of MCC tumors. When compared with publicly available cancer lines, WaGa and Mkl-1 cells were similar to other neuroendocrine tumors, but the variant cell lines were not. WaGa and Mkl-1 cells grown as xenografts in mice had histological and immunophenotypical features consistent with MCC, whereas UISO xenograft tumors were atypical for MCC. Spectral karyotyping and short tandem repeat analysis of the UISO cells matched the original cell line's description, ruling out contamination. Our results validate the use of transcriptome analysis to assess the cancer cell line representativeness and indicate that UISO, MCC13, and MCC26 cell lines are not representative of MCC tumors, whereas WaGa and Mkl-1 more closely model MCC.
authors.affiliation: Dermatology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
authors.forename: Kenneth
authors.initials: K
authors.lastname: Daily
authors.affiliation: Dermatology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
authors.forename: Amy
authors.initials: A
authors.lastname: Coxon
authors.affiliation: Dermatology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
authors.forename: Jonathan S
authors.initials: JS
authors.lastname: Williams
authors.affiliation: Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
authors.forename: Chyi-Chia R
authors.initials: CR
authors.lastname: Lee
authors.affiliation: Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
authors.forename: Daniel G
authors.initials: DG
authors.lastname: Coit
authors.affiliation: Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
authors.forename: Klaus J
authors.initials: KJ
authors.lastname: Busam
authors.affiliation: Dermatology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA. Electronic address: isaac.brownell@nih.gov.
authors.forename: Isaac
authors.initials: I
authors.lastname: Brownell
mesh_terms: D000818:Animals; D015266:Carcinoma, Merkel Cell / Q000235:genetics / Q000378:metabolism*; D045744:Cell Line, Tumor; D016000:Cluster Analysis; D005260:Female; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D007150:Immunohistochemistry; D007621:Karyotyping; D008175:Lung Neoplasms / Q000235:genetics / Q000378:metabolism; D051379:Mice; D016688:Mice, Inbred NOD; D018895:Microsatellite Repeats; D009368:Neoplasm Transplantation; D020411:Oligonucleotide Array Sequence Analysis; D010641:Phenotype; D027601:Polyomavirus Infections / Q000235:genetics / Q000378:metabolism; D012878:Skin Neoplasms / Q000235:genetics / Q000378:metabolism; D059467:Transcriptome