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Transcriptome sequencing of triple-matched samples of gastric cancer patients with ovarian metastasis

ABSTRACT: Transcriptome sequencing of triple-matched samples of gastric cancer patients with ovarian metastasis

PROVIDER: PRJNA850175 | ENA |

REPOSITORIES: ENA

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Transcriptome sequencing of triple-matched samples of gastric cancer patients with ovarian metastasis

Project description:Our aim was to decipher the underlying molecular mechanism of synchronous ovarian metastasis of gastric cancer. We hereby conducted transcriptome sequencing of triple-matched samples including normal gastric mucosa, primary gastric cancer and ovarian metastatic tumors from 3 individual patients with the application of Illumina sequencing platform with 150-bp paired-end. Follow-up analyses not only identified differentially expressed genes between different sample sets (a threshold of fold change >2 and adjusted P value <0.05) but also uncovered significantly enriched signaling pathways of individual type. To sum up, our comparative transcriptomic analyses of triple-matched fresh samples stored in liquid nitrogen profiled the molecular expression and revealed functionally enriched pathways underlying the ovarian metastasis of gastric cancer.

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Project description: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.

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