Spatially resolved transcriptomics of high-grade serous ovarian carcinoma.
Cited by: 1
Bulk and single-cell RNA sequencing do not provide full characterization of tissue spatial diversity in cancer samples, and currently available in situ techniques (multiplex immunohistochemistry and imaging mass cytometry) allow for only limited analysis of a small number of targets. The current study represents the first comprehensive approach to spatial transcriptomics of high-grade serous ovarian carcinoma using intact tumor tissue. We selected a small cohort of patients with highly annotated high-grade serous ovarian carcinoma, categorized them by response to neoadjuvant chemotherapy (poor or excellent), and analyzed pre-treatment tumor tissue specimens. Our study uncovered extensive differences in tumor composition between the poor responders and excellent responders to chemotherapy, related to cell cluster organization and localization. This in-depth characterization of high-grade serous ovarian carcinoma tumor tissue from poor and excellent responders showed that spatial interactions between cell clusters may influence chemo-responsiveness more than cluster composition alone.
1. SIO: A Spatioimageomics Pipeline to Identify Prognostic Biomarkers Associated with the Ovarian Tumor Microenvironment.
2. Ovarian cancer and the evolution of subtype classifications using transcriptional profilingdagger.
3. Single-cell tumor-immune microenvironment of BRCA1/2 mutated high-grade serous ovarian cancer.
4. Systematic assessment of tissue dissociation and storage biases in single-cell and single-nucleus RNA-seq workflows.
5. Robust decomposition of cell type mixtures in spatial transcriptomics.
1. Spatially resolved transcriptomics of high-grade serous ovarian carcinoma
2. Systematic Identification of Epithelial–Stromal Crosstalk Signaling Networks in Ovarian Cancer
3. Systematic assessment of tissue dissociation and storage biases in single-cell and single-nucleus RNA-seq workflows
4. Unsupervised cell interaction profiling based on multiplet RNA sequencing reveals major architectural differences between small intestinal and colonic epithelium.
5. An unsupervised and broadly applicable method for physical cell interaction profiling of complex tissues