Quantitative gene expression assessment identifies appropriate cell line models for individual cervical cancer pathways.

ABSTRACT:

Background

Cell lines have been used to study cancer for decades, but truly quantitative assessment of their performance as models is often lacking. We used gene expression profiling to quantitatively assess the gene expression of nine cell line models of cervical cancer.

Results

We find a wide variation in the extent to which different cell culture models mimic late-stage invasive cervical cancer biopsies. The lowest agreement was from monolayer HeLa cells, a common cervical cancer model; the highest agreement was from primary epithelial cells, C4-I, and C4-II cell lines. In addition, HeLa and SiHa cell lines cultured in an organotypic environment increased their correlation to cervical cancer significantly. We also find wide variation in agreement when we considered how we

SUBMITTER: Carlson MW 

PROVIDER: S-EPMC1878486 | biostudies-literature | 2007 May

REPOSITORIES: biostudies-literature