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Dataset Information

Evaluating cancer cell line and patient-derived xenograft recapitulation of tumor and non-diseased tissue gene expression profiles in silico.


ABSTRACT:

Background

Preclinical models like cancer cell lines and patient-derived xenografts (PDXs) are vital for studying disease mechanisms and evaluating treatment options. It is essential that they accurately recapitulate the disease state of interest to generate results that will translate in the clinic. Prior studies have demonstrated that preclinical models do not recapitulate all biological aspects of human tissues, particularly with respect to the tissue of origin gene expression signatures. Therefore, it is critical to assess how well preclinical model gene expression profiles correlate with human cancer tissues to inform preclinical model selection and data analysis decisions.

Aims

Here we evaluated how well preclinical models recapitulate human cancer and non-diseased tis

SUBMITTER: Williams AS 

PROVIDER: S-EPMC10480419 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature