Gene expression profile of primary ovarian tumors and matched metastasis

Ovarian cancer is the most frequent cause of cancer death in women and the leading cause of death related to gynecological cancer, accounting for 5% of estimated cancer deaths. Due to its asymptomatic nature at early stages, most ovarian cancers were diagnosed at an advanced stage, with distant metastasis in the abdominal cavity. Cancer metastasis is the primary cause of morbidity, and contributes to 95% of cancer-related deaths. Metastatic ovarian cancer is closely related with recurrence and drug resistance, rendering metastasis as the major challenge in the course of ovarian cancer treatment. Thorough understanding of ovarian cancer metastasis is believed to contribute to improve cancer cure rates, while it is still not well elucidated. One important aspect of ovarian cancer metastasis research is the identification of driver molecular. To identify proteins required for ovarian cancer metastasis, we carried out unbiased high-throughput screening by comparing the expression profile of ovarian cancer primary and metastasis tissues. Overall design: RNA-seq was performed of 5 pairs of matched primary ovarian tumors and metastasis from ovarian cancer patients. RNA samples were sequenced on BGISEQ platform (BGI, China). Raw reads were mapped to the reference genome (Homo sapiens, ensemble, GRCh38) using Bowtie2 with the default settings. Numbers of reads assigned to genes were counted by featureCounts. DEGs were retrieved by R package DESeq2.