ArticleClinical cancer research : an official journal of the American Association for Cancer Research2022
Single-Cell RNA Sequencing Reveals the Tissue Architecture in Human High-Grade Serous Ovarian Cancer.
Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 200 papers.
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200 citing papers in PubMed, 314 citations in OpenAlex.
- Inhibiting CXCR2 Remodels the Tumor Microenvironment and Blunts Tumor Progression and Dissemination of High-Grade Serous Carcinoma.Cancer research communications · 2026Article
- PiggyBac-Engineered Membrane-Bound IL7 TILs Combined with Anti-PD-1 Antibody Demonstrates Efficacy in Recurrent Ovarian Cancer: A First-in-Human Phase I Trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Article
- Evolution of SPP1Cell reports. Medicine · 2026Article
- Unraveling CD4Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- Immunological and prognostic impact of NRF2 in high grade serous ovarian cancer.Genes and immunity · 2026Article
- Systems-Level Mapping of the Tumor Microenvironment Reveals Immune-Mediated Mechanisms and Potential Targets in Platinum-Resistant Ovarian Cancer.Research square · 2026Article
- Single-cell transcriptome analysis in ovarian steroid cell tumors-not otherwise specified.Journal of ovarian research · 2026Article
- T Cell-Macrophage Interactions Influence Chemotherapeutic Response in Ovarian Cancer Patients.International journal of molecular sciences · 2026Article
- Article
- Single-cell RNA sequencing in ovarian cancer: decoding the tumor microenvironment for personalized therapy.Journal of ovarian research · 2026Review
- Pan-cancer single-cell and spatial transcriptomics analyses delineate response-associated heterogeneity and therapeutic targets of tumor-infiltrating B cells following immune checkpoint blockade.Cancer immunology, immunotherapy : CII · 2026Article
- Targeting the HMGB1-IL32 pathway to alleviate T cell exhaustion in epithelial ovarian cancer.GeroScience · 2026Article
- Integrated study reveals molecular mechanisms by which bisphenol A promotes ovarian cancer.iScience · 2026Article
- Proteomic profiling and molecular reclassification of high-grade serous ovarian cancer identifies prognostic subtypes and immunotherapy biomarkers.EBioMedicine · 2026Article
- Unmasking FCGR2B as a high-grade serous ovarian cancer specific marker of immune suppression and tumor progression through multi-omics mining.Translational oncology · 2026Article
- Single-cell transcriptomics of chicken ovarian cancer identifying immune subsets with prognostic implications.Poultry science · 2026Article
- Article
- Integrated single-cell and bulk RNA sequencing reveals novel biomarkers of invasive adenocarcinoma subtypes in lung adenocarcinoma.Translational cancer research · 2026Article
- A Single-Cell Atlas of Uterine Carcinosarcoma from Diverse Ancestries.bioRxiv : the preprint server for biology · 2026Article
- Transcriptomic subtypes in high-grade serous ovarian cancer are driven by tumor cellular composition.bioRxiv : the preprint server for biology · 2026Article
140 more citing papers are in PubMed but not listed here.
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe heterogeneity of high-grade serous ovarian cancer (HGSOC) is not well studied, which severely hinders clinical treatment of HGSOC. Thus, it is necessary to characterize the heterogeneity of HGSOC within its tumor microenvironment (TME). EXPERIMENTAL
designThe tumors of 7 treatment-naïve patients with HGSOC at early or late stages and five age-matched nonmalignant ovarian samples were analyzed by deep single-cell RNA sequencing (scRNA-seq).
resultsA total of 59,324 single cells obtained from HGSOC and nonmalignant ovarian tissues were sequenced by scRNA-seq. Among those cells, tumor cells were characterized by a set of epithelial-to-mesenchymal transition (EMT)-associated gene signatures, in which a combination of NOTCH1, SNAI2, TGFBR1, and WNT11 was further selected as a genetic panel to predict the poor outcomes of patients with HGSOC. Matrix cancer-associated fibroblasts (mCAF) expressing α-SMA, vimentin, COL3A, COL10A, and MMP11 were the dominant CAFs in HGSOC tumors and could induce EMT properties of ovarian cancer cells in the coculture system. Specific immune cell subsets such as C7-APOBEC3A M1 macrophages, CD8+ TRM, and TEX cells were preferentially enriched in early-stage tumors. In addition, an immune coinhibitory receptor TIGIT was highly expressed on CD8+ TEX cells and TIGIT blockade could significantly reduce ovarian cancer tumor growth in mouse models.
conclusionsOur transcriptomic results analyzed by scRNA-seq delineate an ecosystemic landscape of HGSOC at early or late stages with a focus on its heterogeneity with TME. The major applications of our findings are a four-EMT gene model for prediction of HGSOC patient outcomes, mCAFs' capability of enhancing ovarian cancer cell invasion and potential therapeutic value of anti-TIGIT treatment.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.