Analysis of Spatial Transcriptomics for Unveiling the novel molecular characteristics of Recurrent and Non-Recurrent High-Grade Serous Ovarian Cancer. Analysis of Spatial Transcriptomics for Unveiling the novel molecular characteristics of Recurrent and Non-Recurrent High-Grade Serous Ovarian Cancer

Our study utilized spatial transcriptomics (ST) to interpret the tumor microenvironment to examine spatial characteristics across different sites in eight patients with HGSOC divided into recurrent (R, n = 5) and non-recurrent (NR, n = 3) groups based on a 60-month recurrence criterion. This study identified diagnostic and therapeutic targets for HGSOC, marking a step towards personalized medicine. Overall design: We obtained ovarian cancer tissues from eight treatment-naïve patients who underwent cytoreductive surgery. Visium spatial transcriptomics analysis was performed on the eight patients with HGSOC: five in recurrent (R) and three in non-recurrent (NR) groups.