Unknown

Dataset Information

Biological Insights into Chemotherapy Resistance in Ovarian Cancer.


ABSTRACT: The majority of patients with high-grade serous ovarian cancer (HGSOC) initially respond to chemotherapy; however, most will develop chemotherapy resistance. Gene signatures may change with the development of chemotherapy resistance in this population, which is important as it may lead to tailored therapies. The objective of this study was to compare tumor gene expression profiles in patients before and after treatment with neoadjuvant chemotherapy (NACT). Tumor samples were collected from six patients diagnosed with HGSOC before and after administration of NACT. RNA extraction and whole transcriptome sequencing was performed. Differential gene expression, hierarchical clustering, gene set enrichment analysis, and pathway analysis were examined in all of the samples. Tumor samples clustere

SUBMITTER: Glasgow MA 

PROVIDER: S-EPMC6547356 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature