ArticlePloS one2010
Gene expression profile for predicting survival in advanced-stage serous ovarian cancer across two independent datasets.
Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 7 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
83 citing papers in PubMed, 7 syntheses or guidelines pooled 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
- A VEGF-dependent gene signature enriched in mesenchymal ovarian cancer predicts patient prognosis.Scientific reports · 2016Pooled it
- Pooled it
- Pooled it
- Comparative meta-analysis of prognostic gene signatures for late-stage ovarian cancer.Journal of the National Cancer Institute · 2014Pooled it
- Risk prediction for late-stage ovarian cancer by meta-analysis of 1525 patient samples.Journal of the National Cancer Institute · 2014Pooled it
- Bevacizumab, olaparib, and durvalumab in patients with relapsed ovarian cancer: a phase II clinical trial from the GINECO group.Nature communications · 2024Trial
- Prognostically relevant gene signatures of high-grade serous ovarian carcinoma.The Journal of clinical investigation · 2013Trial
- Inhibiting CXCR2 Remodels the Tumor Microenvironment and Blunts Tumor Progression and Dissemination of High-Grade Serous Carcinoma.Cancer research communications · 2026Article
- Pan cohort immune biomarker of CD8 lymphocyte activation enabling HGSOC outcome prediction and treatment response.Discover oncology · 2025Article
- 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
- Regulation of volume-regulated anion channels alters sensitivity to platinum chemotherapy.Science advances · 2024Article
- Comprehensive analysis of consensus molecular subtypes for ovarian cancer from bulk to single-cell perspectives.The Journal of biological chemistry · 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
- DFASGCNS: A prognostic model for ovarian cancer prediction based on dual fusion channels and stacked graph convolution.PloS one · 2024Article
- Targeting NEAT1 Affects the Sensitivity to PARPi in Serous Ovarian Cancer by Regulating the Homologous Recombination Repair Pathway.Journal of Cancer · 2024Article
- SpiderLearner: An ensemble approach to Gaussian graphical model estimation.Statistics in medicine · 2023Article
23 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAdvanced-stage ovarian cancer patients are generally treated with platinum/taxane-based chemotherapy after primary debulking surgery. However, there is a wide range of outcomes for individual patients. Therefore, the clinicopathological factors alone are insufficient for predicting prognosis. Our aim is to identify a progression-free survival (PFS)-related molecular profile for predicting survival of patients with advanced-stage serous ovarian cancer. METHODOLOGY/PRINCIPAL
findingsAdvanced-stage serous ovarian cancer tissues from 110 Japanese patients who underwent primary surgery and platinum/taxane-based chemotherapy were profiled using oligonucleotide microarrays. We selected 88 PFS-related genes by a univariate Cox model (p<0.01) and generated the prognostic index based on 88 PFS-related genes after adjustment of regression coefficients of the respective genes by ridge regression Cox model using 10-fold cross-validation. The prognostic index was independently associated with PFS time compared to other clinical factors in multivariate analysis [hazard ratio (HR), 3.72; 95% confidence interval (CI), 2.66-5.43; p<0.0001]. In an external dataset, multivariate analysis revealed that this prognostic index was significantly correlated with PFS time (HR, 1.54; 95% CI, 1.20-1.98; p = 0.0008). Furthermore, the correlation between the prognostic index and overall survival time was confirmed in the two independent external datasets (log rank test, p = 0.0010 and 0.0008). CONCLUSIONS/SIGNIFICANCE: The prognostic ability of our index based on the 88-gene expression profile in ridge regression Cox hazard model was shown to be independent of other clinical factors in predicting cancer prognosis across two distinct datasets. Further study will be necessary to improve predictive accuracy of the prognostic index toward clinical application for evaluation of the risk of recurrence in patients with advanced-stage serous ovarian cancer.
Indexed as
Identifiers
What OpenQuestion holds
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.