Longitudinal ovarian cancer (BOB)
收藏NIAID Data Ecosystem2026-05-02 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE289067
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High-grade serous ovarian cancer presents significant challenges due to its poor prognosis and high heterogeneity, both of which complicate treatment responses. This project aims to understand intra-patient tumor evolution by investigating different sampling sites (primary and metastatic) at the time of diagnosis and during disease recurrence. A total of 183 biopsies from 50 patients were collected for this purpose, and bulk mRNA sequencing was performed. The majority of samples originated from following tissue types: omentum, ovary, and ascites. The samples included in this cohort are derived from clinical biopsies of patients diagnosed with high-grade serous ovarian cancer. *************************************************************** Raw files for human/patient samples were not submitted to GEO due to concerns about sharing personally identifiable sequence data in an open-access repository. ***************************************************************
创建时间:
2025-02-08



