Observational studyJCO precision oncology2025
Leveraging Real-World Data From a Clinicogenomic Database Addresses the Treatment Gap in Patients With High-Grade Serous Ovarian Cancer.
Observational study in JCO precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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
1 citing paper in PubMed.
- Clinicogenomic Landscape of Histologic Subtypes in Ovarian Cancer: Real-World Evidence From a Japanese Nationwide Cohort.JCO precision oncology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study used a deidentified nationwide (US-based) high-grade serous ovarian cancer (HGSOC) clinicogenomic database (CGDB) to enrich our understanding of HGSOC's genomic heterogeneity and assess the utility of comprehensive genomic profiling (CGP) in clinical settings. PATIENTS AND
methodsWe conducted a retrospective observational analysis on 856 patients with HGSOC profiled with CGP genomic tests, retrieved from CGDB from January 2011 to September 2023.
resultsIn addition to
conclusionOverall, our study provides evidence that CGP significantly improves the identification of molecular targets in HGSOC, supporting its importance in the clinical practice to provide patients with more therapeutic options.
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Registered trials
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