ReviewCurrent oncology (Toronto, Ont.)2024
Challenges in Implementing Comprehensive Precision Medicine Screening for Ovarian Cancer.
Review in Current oncology (Toronto, Ont.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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
11 citing papers in PubMed.
- Heterogeneity of Ex Vivo Tumor Responses in Ovarian Cancer Tissues.Cancer reports (Hoboken, N.J.) · 2026Article
- Review
- Critical role of reproductive tract microbiota and derived metabolites in inflammation, tumor immunity, and tumorigenesis of gynecological cancers: a narrative review.Frontiers in immunology · 2026Review
- Clinical Trials and Translational Advances in Metabolic Targeting.Cancer treatment and research · 2026Review
- Ovarian Tumor Biomarkers: Correlation Between Tumor Type and Marker Expression, and Their Role in Guiding Therapeutic Strategies.International journal of molecular sciences · 2025Review
- Serous Papillary Adenofibroma Cyst of the Ovary in a Young Woman: Case Report and Literature Review.Life (Basel, Switzerland) · 2025Review
- Enhancing detection and monitoring of circulating tumor cells: Integrative approaches in liquid biopsy advances.The journal of liquid biopsy · 2025Review
- Biomarker-Driven Approaches to Bone Metastases: From Molecular Mechanisms to Clinical Applications.Biomedicines · 2025Review
- A Novel 3D High-Throughput Phenotypic Drug Screening Pipeline to Identify Drugs with Repurposing Potential for the Treatment of Ovarian Cancer.Advanced healthcare materials · 2025Article
- Latent Profile Analysis of Flourishing in Patients Undergoing Chemotherapy After Ovarian Cancer Surgery: A Single-Center Study in Shanxi.Cancer management and research · 2025Article
- The Potential for Enhanced Ovarian Cancer Diagnostics Through Optimized Derivative Magnetic Resonance Spectroscopy.Technology in cancer research & treatmentArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Precision medicine has revolutionised targeted cancer treatments; however, its implementation in ovarian cancer remains challenging. Diverse tumour biology and extensive heterogeneity in ovarian cancer can limit the translatability of genetic profiling and contribute to a lack of biomarkers of treatment response. This review addresses the barriers in precision medicine for ovarian cancer, including obtaining adequate and representative tissue samples for analysis, developing functional and standardised screening methods, and navigating data infrastructure and management. Ethical concerns related to patient consent, data privacy and health equity are also explored. We highlight the socio-economic complexities for precision medicine and propose strategies to overcome these challenges with an emphasis on accessibility and education amongst patients and health professionals and the development of regulatory frameworks to support clinical integration. Interdisciplinary collaboration is essential to drive progress in precision medicine to improve disease management and ovarian cancer patient outcomes.
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.