ArticleCell death & disease2021
Single-cell RNA-seq highlights a specific carcinoembryonic cluster in ovarian cancer.
Article in Cell death & disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 34 citations in OpenAlex.
- Single-Cell-Derived Malignant Epithelial Programs Define Prognostic Risk and Therapeutic Vulnerability in Ovarian Cancer.Journal of Cancer · 2026Article
- RNA sequencing in ovarian cancer research: a comprehensive review.Journal of ovarian research · 2025Review
- Multi-omics dissection of CPNE1 reveals its prognostic value and immune-regulatory function in liver cancer.Discover oncology · 2025Article
- Article
- Roles of PEG10 in cancer and neurodegenerative disorder (Review).Oncology reports · 2025Review
- Advancements in the Application of scRNA-Seq in Breast Research: A Review.International journal of molecular sciences · 2024Review
- A novel defined programmed cell death related gene signature for predicting the prognosis of serous ovarian cancer.Journal of ovarian research · 2024Article
- Recent advancements in single-cell metabolic analysis for pharmacological research.Journal of pharmaceutical analysis · 2023Review
- Paternal Expressed Gene 10 (PEG10) is decreased in early-onset preeclampsia.Reproductive biology and endocrinology : RB&E · 2023Article
- Deciphering Common Traits of Breast and Ovarian Cancer Stem Cells and Possible Therapeutic Approaches.International journal of molecular sciences · 2023Review
- Single-cell transcriptomics in ovarian cancer identify a metastasis-associated cell cluster overexpressed RAB13.Journal of translational medicine · 2023Article
- Artificial Intelligence-Assisted Transcriptomic Analysis to Advance Cancer Immunotherapy.Journal of clinical medicine · 2023Review
- Unveiling the novel immune and molecular signatures of ovarian cancer: insights and innovations from single-cell sequencing.Frontiers in immunology · 2023Review
- Ovarian cancer-associated immune exhaustion involves SPP1+ T cell and NKT cell, symbolizing more malignant progression.Frontiers in endocrinology · 2023Article
- System analysis based on the T cell exhaustion‑related genes identifies CD38 as a novel therapy target for ovarian cancer.Oncology research · 2023Article
- Identification of the immune subtype of ovarian cancer patients by integrated analyses of transcriptome and single-cell sequencing data.Scientific reports · 2022Article
- Integration of Genomic Profiling and Organoid Development in Precision Oncology.International journal of molecular sciences · 2021Review
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Expounding the heterogeneity for ovarian cancer (OC) with the cognition in developmental biology might be helpful to search for robust prognostic markers and effective treatments. In the present study, we employed single-cell RNA-seq with ovarian cancers, normal ovary, and embryo tissue to explore their heterogeneity. Then the differentiation process of clusters was explored; the pivotal cluster and markers were identified. Furthermore, the consensus clustering algorithm was used to explore the different clinical phenotypes in OC. At last, a prognostic model was construct and used to assess the prognosis for OCs. As a result, eight diverse clusters were identified, and the similarity existed in some clusters between embryo and tumours based on their gene expression. Meaningfully, a subtype of malignant epithelial cluster, PEG10
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Registered trials
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.