GEO series
Single-cell RNA-seq of tumor samples from six advanced HGSOC patients across treatment stages (pre-NACT, post-NACT and platinum-sensitive recurrence)
GSE318490
Homo sapiens
Expression profiling by high throughput sequencing
10 samples
2026/03/03
GPL24676
Summary
High-grade serous ovarian cancer (HGSOC) is characterized by pronounced cellular heterogeneity and dynamic changes during treatment and recurrence. In this study, we collected 10 tumor samples from six patients with advanced-stage HGSOC and performed single-cell RNA sequencing (scRNA-seq) to profile the tumor ecosystem across different treatment stages, including pre-neoadjuvant chemotherapy (pre-NACT), post-neoadjuvant chemotherapy (post-NACT), and platinum-sensitive recurrence. Single-cell libraries were prepared using the 10x Genomics platform followed by high-throughput sequencing. This dataset provides a resource for investigating transcriptional heterogeneity and cellular composition changes associated with treatment and recurrence in advanced HGSOC.
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