ReviewBiomedicines2023
The Role of Patient-Derived Organoids in Triple-Negative Breast Cancer Drug Screening.
Review in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis 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
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Pooled it
- Comparative analysis of zebrafish, organoid, and organ-on-chip models in breast cancer research.Biotechnology notes (Amsterdam, Netherlands) · 2026Review
- Overcoming immunotherapy resistance in triple-negative breast cancer: a critical review of mast cell plasticity, metabolic reprogramming, and organoid models.Frontiers in immunology · 2026Review
- Integrated transcriptomic and immune-associated network analysis of breast cancer patient-derived organoids reveals candidate inflammatory biomarkers.Frontiers in bioengineering and biotechnology · 2026Article
- A case of metachronous cervical and early-stage breast cancer.Discover oncology · 2025Article
- Review
- Stemness of Cancer: A Study of Triple-negative Breast Cancer From a Neuroscience Perspective.Stem cell reviews and reports · 2025Review
- Partial Response Achieved in a Case of Metastatic Triple-Negative Breast Cancer Based on the Patient-Derived Tumor Organoids.International journal of women's health · 2025Article
- The Transformative Role of 3D Culture Models in Triple-Negative Breast Cancer Research.Cancers · 2024Review
- Emerging treatment approaches for triple-negative breast cancer.Medical oncology (Northwood, London, England) · 2023Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Triple-negative breast cancer (TNBC) is one of the most aggressive breast cancer subtypes, with a grave prognosis and few effective treatment options. Organoids represent revolutionary three-dimensional cell culture models, derived from stem or differentiated cells and preserving the capacity to differentiate into the cell types of their tissue of origin. The current review aims at studying the potential of patient-derived TNBC organoids for drug sensitivity testing as well as highlighting the advantages of the organoid technology in terms of drug screening. In order to identify relevant studies, a literature review was conducted using the MEDLINE and LIVIVO databases. The search terms "organoid" and "triple-negative breast cancer" were employed, and we were able to identify 25 studies published between 2018 and 2022. The current manuscript represents the first comprehensive review of the literature focusing on the use of patient-derived organoids for drug sensitivity testing in TNBC. Patient-derived organoids are excellent in vitro study models capable of promoting personalized TNBC therapy by reflecting the treatment responses of the corresponding patients and exhibiting high predictive value in the context of patient survival evaluation.
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.