ReviewOncotarget2022
Patient-derived tumor models are attractive tools to repurpose drugs for ovarian cancer treatment: pre-clinical updates.
Review in Oncotarget, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 16 citations in OpenAlex.
- Emerging Frontiers in Ovarian Organoids: Bridging Development,Function, and Disease Modeling: A Review.International journal of fertility & sterility · 2026Article
- Investigating proteogenomic divergence in patient-derived xenograft models of ovarian cancer.Scientific reports · 2025Article
- Oncogenic Pathways and Targeted Therapies in Ovarian Cancer.Biomolecules · 2024Review
- Zebrafish Avatars: Toward Functional Precision Medicine in Low-Grade Serous Ovarian Cancer.Cancers · 2024Article
- Creation and Validation of Patient-Derived Cancer Model Using Peritoneal and Pleural Effusion in Patients with Advanced Ovarian Cancer: An Early Experience.Journal of clinical medicine · 2024Article
- Comparative analysis of response to treatments and molecular features of tumor-derived organoids versus cell lines and PDX derived from the same ovarian clear cell carcinoma.Journal of experimental & clinical cancer research : CR · 2023Article
- A Scalable 3D High-Content Imaging Protocol for Measuring a Drug Induced DNA Damage Response Using Immunofluorescent Subnuclear γH2AX Spots in Patient Derived Ovarian Cancer Organoids.ACS pharmacology & translational science · 2023Article
- The Proteolytic Landscape of Ovarian Cancer: Applications in Nanomedicine.International journal of molecular sciences · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite advances in understanding of ovarian cancer biology, the progress in translation of research findings into new therapies is still slow. It is associated in part with limitations of commonly used cancer models such as cell lines and genetically engineered mouse models that lack proper representation of diversity and complexity of actual human tumors. In addition, the development of
Indexed as
Identifiers
What Socratic 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 Socratic graph.