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Characterization of twenty-five ovarian tumour cell lines that phenocopy primary tumours.

ABSTRACT: Currently available human tumour cell line panels consist of a small number of lines in each lineage that generally fail to retain the phenotype of the original patient tumour. Here we develop a cell culture medium that enables us to routinely establish cell lines from diverse subtypes of human ovarian cancers with >95% efficiency. Importantly, the 25 new ovarian tumour cell lines described here retain the genomic landscape, histopathology and molecular features of the original tumours. Furthermore, the molecular profile and drug response of these cell lines correlate with distinct groups of primary tumours with different outcomes. Thus, tumour cell lines derived using this methodology represent a significantly improved platform to study human tumour pathophysiology and response to therapy.

SUBMITTER: Ince TA

PROVIDER: S-EPMC4473807 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature

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Characterization of twenty-five ovarian tumour cell lines that phenocopy primary tumours.

Ince Tan A TA Sousa Aurea D AD Jones Michelle A MA Harrell J Chuck JC Agoston Elin S ES Krohn Marit M Selfors Laura M LM Liu Wenbin W Chen Ken K Yong Mao M Buchwald Peter P Wang Bin B Hale Katherine S KS Cohick Evan E Sergent Petra P Witt Abigail A Kozhekbaeva Zhanna Z Gao Sizhen S Agoston Agoston T AT Merritt Melissa A MA Foster Rosemary R Rueda Bo R BR Crum Christopher P CP Brugge Joan S JS Mills Gordon B GB

Nature communications 20150617

Currently available human tumour cell line panels consist of a small number of lines in each lineage that generally fail to retain the phenotype of the original patient tumour. Here we develop a cell culture medium that enables us to routinely establish cell lines from diverse subtypes of human ovarian cancers with >95% efficiency. Importantly, the 25 new ovarian tumour cell lines described here retain the genomic landscape, histopathology and molecular features of the original tumours. Furtherm ...[more]

PMID: 26080861

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Project description:Recently, the compilation of massive amounts of genetic and genomic information on a wide variety of human cancer types, collectively known as The Cancer Genome Atlas (TCGA), has revealed a wealth of descriptive classification schemes both within and between different types and sources of cancer. In endometrial cancer, TCGA analyses have produced a post hoc scheme composed of four clusters: DNA polymerase ε catalytic subunit A (POLE) ultra‑mutated (cluster 1), microsatellite instability (MSI) hypermutated (cluster 2), copy‑number low (endometrioid, cluster 3) and copy‑number high (serous‑like, cluster 4). Given that cultured cells are the pre‑clinical platform of cancer research, it was questioned how representative endometrial cancer cultured cell lines are in the context of TCGA‑driven classification scheme. To address this issue in endometrial cancer cell lines, the present study investigated five commonly used cell lines: Ishikawa, ECC‑1, Hec50co, KLE And RL95‑2. The histology, mutation profile, MutL homolog 1 promoter methylation, copy‑number variation, homologous recombination repair and microsatellite instability in each of these cell lines was assessed. The result of this characterization was that none of the cell lines fits neatly into any one of TCGA classes but are still useful models for groups of endometrial tumors. Furthermore, the contention that the ECC‑1 cell line is actually Ishikawa was addressed using additional data. It was confirmed that ECC‑1 cells likely no longer exist as ECC‑1 but that they are not exactly Ishikawa either. For this reason, ECC‑1 cells are suggested to be used in vitro but with this caveat in mind. Finally, we compiled a database of 127 endometrial cancer cell lines, including the five reported on here. The wide range of variation found in these cell lines highlights the need to further characterize these cells to select models that are more representative of the various histological and genomic aspects of endometrial cancer.

Dataset Information

Characterization of twenty-five ovarian tumour cell lines that phenocopy primary tumours.

Publications

Characterization of twenty-five ovarian tumour cell lines that phenocopy primary tumours.

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