ArticleCancer research2020
Multiomic Analysis of Subtype Evolution and Heterogeneity in High-Grade Serous Ovarian Carcinoma.
Article in Cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.
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Who cites it
92 citing papers in PubMed, 121 citations in OpenAlex.
- A Distal Super-Enhancer Regulates CD47 Expression and Promotes Macrophage-Mediated Phagocytosis of Ovarian Cancer Cells.bioRxiv : the preprint server for biology · 2026Article
- Single-Cell Transcriptomic Analysis Reveals Ferroptosis-Related Signatures and Tumor Microenvironment Heterogeneity in Epithelial Ovarian Cancer.Cancer medicine · 2026Article
- Transcriptomic and epigenomic insights into ovarian cancer: a bioinformatics perspective - a narrative review.Annals of medicine and surgery (2012) · 2026Article
- Systems-Level Mapping of the Tumor Microenvironment Reveals Immune-Mediated Mechanisms and Potential Targets in Platinum-Resistant Ovarian Cancer.Research square · 2026Article
- Impact of Anatomical Site on RNA-Based Molecular Subtypes in Paired High-Grade Serous Ovarian Carcinoma Samples.Cancers · 2026Article
- Rethinking ovarian cancer III: the past decade and future directions.Nature reviews. Cancer · 2026Review
- Targeting the HMGB1-IL32 pathway to alleviate T cell exhaustion in epithelial ovarian cancer.GeroScience · 2026Article
- ZBTB7A promotes malignant phenotypes in ovarian cancer through transcriptional activation of CRLF1.Oncology reports · 2026Article
- Development and validation of a macrophage-related prognostic model for overall survival in ovarian cancer via integrated RNA sequencing analysis.Translational cancer research · 2026Article
- Transcriptomic subtypes in high-grade serous ovarian cancer are driven by tumor cellular composition.bioRxiv : the preprint server for biology · 2026Article
- Mapping immunosuppressive terrain in high-grade serous ovarian cancer: tumor-intrinsic, stromal, and spatial drivers of therapy response.NPJ precision oncology · 2026Review
- 3D pentaculture model unveils malignant cell-driven macrophage polarization in high-grade serous ovarian cancer.Nature communications · 2026Article
- High-Grade Serous Ovarian Carcinoma in the Genomics Era: Current Applications, Challenges and Future Directions.International journal of molecular sciences · 2026Review
- Advances in multi-omics and aging clock research for female reproductive health and aging.MedScience · 2026Review
- Deconvolved tumor adipocyte proportions and high grade serous ovarian carcinoma survival.bioRxiv : the preprint server for biology · 2026Article
- Spatial proteomics of ovarian cancer precursors delineates early disease changes and drug targets.Molecular systems biology · 2026Article
- Multimodal AI in high-grade serous ovarian cancer: integrated prediction and clinical decision-making.Frontiers in oncology · 2026Review
- Triptolide targetsFrontiers in pharmacology · 2026Article
- LAPTM5 drives omental metastasis in high-grade serous ovarian cancer via TGF-β/Smad-mediated epithelial plasticity.Journal of translational medicine · 2025Article
- Mapping transcriptomic signatures downstream of mitochondrial superoxide dismutase SOD2 in OVCA433 multicellular aggregates.Advances in redox research · 2025Article
32 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
21 authors at 7 institutions in 1 country.
Funding
Abstract
Multiple studies have identified transcriptome subtypes of high-grade serous ovarian carcinoma (HGSOC), but their interpretation and translation are complicated by tumor evolution and polyclonality accompanied by extensive accumulation of somatic aberrations, varying cell type admixtures, and different tissues of origin. In this study, we examined the chronology of HGSOC subtype evolution in the context of these factors using a novel integrative analysis of absolute copy-number analysis and gene expression in The Cancer Genome Atlas complemented by single-cell analysis of six independent tumors. Tumor purity, ploidy, and subclonality were reliably inferred from different genomic platforms, and these characteristics displayed marked differences between subtypes. Genomic lesions associated with HGSOC subtypes tended to be subclonal, implying subtype divergence at later stages of tumor evolution. Subclonality of recurrent HGSOC alterations was evident for proliferative tumors, characterized by extreme genomic instability, absence of immune infiltration, and greater patient age. In contrast, differentiated tumors were characterized by largely intact genome integrity, high immune infiltration, and younger patient age. Single-cell sequencing of 42,000 tumor cells revealed widespread heterogeneity in tumor cell type composition that drove bulk subtypes but demonstrated a lack of intrinsic subtypes among tumor epithelial cells. Our findings prompt the dismissal of discrete transcriptome subtypes for HGSOC and replacement by a more realistic model of continuous tumor development that includes mixtures of subclones, accumulation of somatic aberrations, infiltration of immune and stromal cells in proportions correlated with tumor stage and tissue of origin, and evolution between properties previously associated with discrete subtypes. SIGNIFICANCE: This study infers whether transcriptome-based groupings of tumors differentiate early in carcinogenesis and are, therefore, appropriate targets for therapy and demonstrates that this is not the case for HGSOC.
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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.