Correlation of gene expression profiles to identify pancreatic cancer cell lines that best model primary human tumors.

ABSTRACT:

Background

Cancer cell lines are important research models for studying tumor biology in vivo. The accuracy of such studies is highly dependent on the phenotypic and genetic similarity of cell lines to patient tumors, but this is not always the case, particularly for pancreatic cancer.

Methods

We compared the gene expression profiles of various pancreatic cancer cell lines and primary human pancreatic tumor tissues to determine which pancreatic cancer cell line best models human primary tumor. Profiles of messenger RNA (mRNA) expression of 33 pancreatic cancer cell lines and 892 patient samples of pancreatic adenocarcinoma (PAAD) were obtained from the Gene Expression Omnibus (GEO) database. Microarray data were normalized using the robust multichip average (RMA) algorithm a

SUBMITTER: Hu Y 

PROVIDER: S-EPMC10174970 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature