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Evaluating the efficacy of multiple myeloma cell lines as models for patient tumors via transcriptomic correlation analysis.

ABSTRACT: Multiple myeloma (MM) cell lines are routinely used to model the disease. However, a long-standing question is how well these cell lines truly represent tumor cells in patients. Here, we employ a recently described method of transcriptional correlation profiling to compare similarity of 66 MM cell lines to 779 newly diagnosed MM patient tumors. We found that individual MM lines differ significantly with respect to patient tumor representation, with median R ranging from 0.35 to 0.54. ANBL-6 was the "best" line, markedly exceeding all others (p?

SUBMITTER: Sarin V

PROVIDER: S-EPMC7483300 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Evaluating the efficacy of multiple myeloma cell lines as models for patient tumors via transcriptomic correlation analysis.

Sarin Vishesh V Yu Katharine K Ferguson Ian D ID Gugliemini Olivia O Nix Matthew A MA Hann Byron B Sirota Marina M Wiita Arun P AP

Leukemia 20200302 10

Multiple myeloma (MM) cell lines are routinely used to model the disease. However, a long-standing question is how well these cell lines truly represent tumor cells in patients. Here, we employ a recently described method of transcriptional correlation profiling to compare similarity of 66 MM cell lines to 779 newly diagnosed MM patient tumors. We found that individual MM lines differ significantly with respect to patient tumor representation, with median R ranging from 0.35 to 0.54. ANBL-6 was ...[more]

PMID: 32123307

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Project description:Transcriptomic analysis of multiple myeloma cell lines

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