ArticleCancer science2012
Validating the impact of a molecular subtype in ovarian cancer on outcomes: a study of the OVCAD Consortium.
Article in Cancer science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 3 of them syntheses that pooled it.
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Who cites it
46 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Meta-analysis of integrated ChIP-seq and transcriptome data revealed genomic regions affected by estrogen receptor alpha in breast cancer.BMC medical genomics · 2023Pooled it
- Identification of lncRNAs Deregulated in Epithelial Ovarian Cancer Based on a Gene Expression Profiling Meta-Analysis.International journal of molecular sciences · 2023Pooled it
- High mRNA expression level of IL-6R was associated with better prognosis for patients with ovarian cancer: a pooled meta-analysis.Scientific reports · 2017Pooled it
- Transcriptomic subtypes in high-grade serous ovarian cancer are driven by tumor cellular composition.bioRxiv : the preprint server for biology · 2026Article
- PRECOG update: an augmented resource of clinical outcome associations with gene expression for adult, pediatric, and immunotherapy cohorts.Nucleic acids research · 2026Article
- Determination of high-grade serous ovarian cancer stem cell-based subtypes and prognostic model and identification of highly expressed VSIG4 and STAB1 in macrophages.Journal of ovarian research · 2025Article
- CD103+CD56+ ILCs Are Associated with an Altered CD8+ T-cell Profile within the Tumor Microenvironment.Cancer immunology research · 2025Article
- Comprehensive Single-Cell Characterization of LDL in the Ovarian Cancer Microenvironment and Its Prognostic Implications.Mediators of inflammation · 2025Article
- Multi-omics decipher the immune microenvironment and unveil therapeutic strategies for postoperative ovarian cancer patients.Translational cancer research · 2024Article
- Machine learning-derived identification of prognostic signature for improving prognosis and drug response in patients with ovarian cancer.Journal of cellular and molecular medicine · 2024Article
- HSPB8 Facilitates the Oncogenesis and Advancement of Bladder Cancer via Activation of HSP27.Journal of Cancer · 2024Article
- A prognostic model for ovarian neoplasms established by an integrated analysis of 1580 transcriptomic profiles.Scientific reports · 2023Article
- A Prognostic Model Based on Metabolism-Related Genes for Patients with Ovarian Cancer.Doklady. Biochemistry and biophysics · 2023Article
- Tumor Treating Fields (TTFields) Therapy Concomitant with Taxanes for Cancer Treatment.Cancers · 2023Review
- Identification of the immune subtype of ovarian cancer patients by integrated analyses of transcriptome and single-cell sequencing data.Scientific reports · 2022Article
- PGC1α/β Expression Predicts Therapeutic Response to Oxidative Phosphorylation Inhibition in Ovarian Cancer.Cancer research · 2022Article
- Identification of key gene signatures for the overall survival of ovarian cancer.Journal of ovarian research · 2022Article
- Identification of a Gene Signature of Cancer-Associated Fibroblasts to Predict Prognosis in Ovarian Cancer.Frontiers in genetics · 2022Article
- Article
- Myeloid antigen-presenting cell niches sustain antitumor T cells and license PD-1 blockade via CD28 costimulation.Cancer cell · 2021Article
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16 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Most patients with epithelial ovarian cancer (EOC) are diagnosed at advanced stage and have a poor prognosis. However, a small proportion of these patients will survive, whereas others will die very quickly. Clinicopathological factors do not allow precise identification of these subgroups. Thus, we have validated a molecular subclassification as new prognostic factor in EOC. One hundred and ninety-four patients with Stage II-IV EOC were characterized by whole-genome expression profiling of tumor tissues and were classified using a published 112 gene set, derived from an International Federation of Gynecology and Obstetrics (FIGO) stage-directed supervised classification approach. The 194 tumor samples were classified into two subclasses comprising 95 (Subclass 1) and 99 (Subclass 2) tumors. All nine FIGO II tumors were grouped in Subclass 1 (P = 0.001). Subclass 2 (54% of advanced-stage tumors) was significantly correlated with peritoneal carcinomatosis and non-optimal debulking. Patients with Subclass 2 tumors had a worse overall survival for both serous and non-serous histological subtypes, as revealed by univariate analysis (hazard ratios [HR] of 3.17 and 17.11, respectively; P ≤ 0.001) and in models corrected for relevant clinicopathologic parameters (HR 2.87 and 12.42, respectively; P ≤ 0.023). Significance analysis of microarrays revealed 2082 genes that were differentially expressed in advanced-grade serous tumors of both subclasses and the focal adhesion pathway as the most deregulated pathway. In the present validation study, we have shown that, in advanced-stage serous ovarian cancer, two approximately equally large molecular subtypes exist, independent of classical clinocopathological parameters and presenting with highly different whole-genome expression profiles and a markedly different overall survival. Similar results were obtained in a small cohort of patients with non-serous tumors.
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