ArticleJournal of nanobiotechnology2022
Construction of gastric cancer patient-derived organoids and their utilization in a comparative study of clinically used paclitaxel nanoformulations.
Article in Journal of nanobiotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 23 citations in OpenAlex.
- Artificial Intelligence in Gastric Cancer: Diagnostic, Prognostic, and Predictive Developments, Evidence Maturity, and Translational Challenges.Cancer reports (Hoboken, N.J.) · 2026Review
- Deciphering Anti-Cancer Drug Efficacy Through Nanomechanical Vibrations in Living Gastric Cancer Organoids.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Tumor organoids as a revolutionary platform for advancing cancer nanomedicine.Molecular cancer · 2026Review
- Review
- Autophagy in Cancer: Context-Dependent Regulation and Precision Nanomedicine-Enabled Therapeutic Targeting.Biomedicines · 2026Review
- Organoids glimpse: the nexus for diverse tumor heterogeneity.Frontiers in cell and developmental biology · 2026Review
- Patient-derived organoids predict chemotherapy response of locally advanced gastric cancer.PloS one · 2026Article
- The application of organoids in treatment decision-making for digestive system cancers: progress and challenges.Molecular cancer · 2025Review
- Immunomodulatory Natural Products in Cancer Organoid-Immune Co-Cultures: Bridging the Research Gap for Precision Immunotherapy.International journal of molecular sciences · 2025Review
- Gastric cancer organoids: a promising model for personalized treatment of gastric cancer.Frontiers in cell and developmental biology · 2025Review
- Biomedical applications of organoids derived from the digestive system.Frontiers in cell and developmental biology · 2025Review
- Modeling the pre-metastatic niche of gastric cancer peritoneal metastasis under spatiotemporal resolution and investigating EVs-mediated immune suppression.Frontiers in immunology · 2025Review
- Molecular subtype construction and prognosis model for stomach adenocarcinoma characterized by metabolism-related genes.Heliyon · 2024Article
- Success rate of current human-derived gastric cancer organoids establishment and influencing factors: A systematic review and meta-analysis.World journal of gastrointestinal oncology · 2024Article
- Xenograft and organoid models in developing precision medicine for gastric cancer (Review).International journal of oncology · 2024Review
- Applications of human organoids in the personalized treatment for digestive diseases.Signal transduction and targeted therapy · 2022Review
Corrections and comments
- Erratum issued
Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundGastric cancer (GC) is a highly heterogeneous disease with many different histological and molecular subtypes. Due to their reduced systemic adverse effects, nanoformulation agents have attracted increasing attention for use in the treatment of GC patients in the clinic. To improve therapeutic outcomes, it is vitally necessary to provide individual medication references and guidance for use of these nanoformulations, and patient-derived organoids (PDOs) are promising models through which to achieve this goal.
resultsUsing an improved enzymatic digestion process, we succeeded in constructing GC PDOs from surgically resected tumor tissues and endoscopic biopsies from GC patients; these PDOs closely recapitulated the histopathological and genomic features of the corresponding primary tumors. Next, we chose two representative paclitaxel (PTX) nanoformulations for comparative study and found that liposomal PTX outperformed albumin-bound PTX in killing GC PDOs at both the transcriptome and cellular levels. Our results further showed that the different distributions of liposomal PTX and albumin-bound PTX in PDOs played an essential role in the distinct mechanisms through which they kill PDOs. Finally, we constructed patient-derived xenografts model in which we verified the above distinct therapeutic outcomes via an intratumoral administration route.
conclusionsThis study demonstrates that GC PDOs are reliable tools for predicting nanoformulation efficacy.
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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.