Cargando…
Assessment of Cancer Cell Line Representativeness using Microarrays for Merkel Cell Carcinoma
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 g...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4366303/ https://www.ncbi.nlm.nih.gov/pubmed/25521454 http://dx.doi.org/10.1038/jid.2014.518 |
_version_ | 1782362352262316032 |
---|---|
author | Daily, Kenneth Coxon, Amy Williams, Jonathan S. Lee, Chyi-Chia Richard Coit, Daniel G. Busam, Klaus J. Brownell, Isaac |
author_facet | Daily, Kenneth Coxon, Amy Williams, Jonathan S. Lee, Chyi-Chia Richard Coit, Daniel G. Busam, Klaus J. Brownell, Isaac |
author_sort | Daily, Kenneth |
collection | PubMed |
description | 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 to 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, while 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. |
format | Online Article Text |
id | pubmed-4366303 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
record_format | MEDLINE/PubMed |
spelling | pubmed-43663032015-10-01 Assessment of Cancer Cell Line Representativeness using Microarrays for Merkel Cell Carcinoma Daily, Kenneth Coxon, Amy Williams, Jonathan S. Lee, Chyi-Chia Richard Coit, Daniel G. Busam, Klaus J. Brownell, Isaac J Invest Dermatol Article 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 to 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, while 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. 2014-12-18 2015-04 /pmc/articles/PMC4366303/ /pubmed/25521454 http://dx.doi.org/10.1038/jid.2014.518 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Daily, Kenneth Coxon, Amy Williams, Jonathan S. Lee, Chyi-Chia Richard Coit, Daniel G. Busam, Klaus J. Brownell, Isaac Assessment of Cancer Cell Line Representativeness using Microarrays for Merkel Cell Carcinoma |
title | Assessment of Cancer Cell Line Representativeness using Microarrays for Merkel Cell Carcinoma |
title_full | Assessment of Cancer Cell Line Representativeness using Microarrays for Merkel Cell Carcinoma |
title_fullStr | Assessment of Cancer Cell Line Representativeness using Microarrays for Merkel Cell Carcinoma |
title_full_unstemmed | Assessment of Cancer Cell Line Representativeness using Microarrays for Merkel Cell Carcinoma |
title_short | Assessment of Cancer Cell Line Representativeness using Microarrays for Merkel Cell Carcinoma |
title_sort | assessment of cancer cell line representativeness using microarrays for merkel cell carcinoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4366303/ https://www.ncbi.nlm.nih.gov/pubmed/25521454 http://dx.doi.org/10.1038/jid.2014.518 |
work_keys_str_mv | AT dailykenneth assessmentofcancercelllinerepresentativenessusingmicroarraysformerkelcellcarcinoma AT coxonamy assessmentofcancercelllinerepresentativenessusingmicroarraysformerkelcellcarcinoma AT williamsjonathans assessmentofcancercelllinerepresentativenessusingmicroarraysformerkelcellcarcinoma AT leechyichiarichard assessmentofcancercelllinerepresentativenessusingmicroarraysformerkelcellcarcinoma AT coitdanielg assessmentofcancercelllinerepresentativenessusingmicroarraysformerkelcellcarcinoma AT busamklausj assessmentofcancercelllinerepresentativenessusingmicroarraysformerkelcellcarcinoma AT brownellisaac assessmentofcancercelllinerepresentativenessusingmicroarraysformerkelcellcarcinoma |