Graphene Oxide Nanoparticles and Organoids: A Prospective Advanced Model for Pancreatic Cancer Research.
Shaoshan MaiIwona Inkielewicz-StepniakPublished in: International journal of molecular sciences (2024)
Pancreatic cancer, notorious for its grim 10% five-year survival rate, poses significant clinical challenges, largely due to late-stage diagnosis and limited therapeutic options. This review delves into the generation of organoids, including those derived from resected tissues, biopsies, pluripotent stem cells, and adult stem cells, as well as the advancements in 3D printing. It explores the complexities of the tumor microenvironment, emphasizing culture media, the integration of non-neoplastic cells, and angiogenesis. Additionally, the review examines the multifaceted properties of graphene oxide (GO), such as its mechanical, thermal, electrical, chemical, and optical attributes, and their implications in cancer diagnostics and therapeutics. GO's unique properties facilitate its interaction with tumors, allowing targeted drug delivery and enhanced imaging for early detection and treatment. The integration of GO with 3D cultured organoid systems, particularly in pancreatic cancer research, is critically analyzed, highlighting current limitations and future potential. This innovative approach has the promise to transform personalized medicine, improve drug screening efficiency, and aid biomarker discovery in this aggressive disease. Through this review, we offer a balanced perspective on the advancements and future prospects in pancreatic cancer research, harnessing the potential of organoids and GO.
Keyphrases
- stem cells
- drug delivery
- current status
- small molecule
- endothelial cells
- induced apoptosis
- gene expression
- papillary thyroid
- big data
- squamous cell carcinoma
- high throughput
- lymph node
- induced pluripotent stem cells
- signaling pathway
- cell proliferation
- mass spectrometry
- endoplasmic reticulum stress
- childhood cancer
- oxidative stress
- cell therapy
- electronic health record
- deep learning
- squamous cell
- free survival
- ionic liquid
- drug release
- adverse drug