RNA based individualized drug selection in breast cancer patients without patient-matched normal tissue.

ABSTRACT:

Background

While standard RNA expression tests stratify patients into risk groups, RNA-Seq can guide personalized drug selection based on expressed mutations, fusion genes, and differential expression (DE) between tumor and normal tissue. However, patient-matched normal tissue may be unavailable. Additionally, biological variability in normal tissue and technological biases may confound results. Therefore, we present normal expression reference data for two sequencing methods that are suitable for breast biopsies.

Results

We identified breast cancer related and drug related genes that are expressed uniformly across our normal samples. Large subsets of these genes are identical for formalin fixed paraffin embedded samples and fresh frozen samples. Adipocyte signatures were de

SUBMITTER: Forster M 

PROVIDER: S-EPMC6122351 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature