Gastric Cancer Cells
Gastric Cancer Cells - Related Videos
05:30
Laparoscopic Radical Gastrectomy for Remnant Gastric Cancer
0 Views •
2025
Laparoscopic radical gastrectomy for remnant gastric cancer has been increasingly adopted as a minimally invasive surgical approach in recent years. This article proposes a detailed operating procedure, aiming to provide practical technical guidance for surgeons and promote the broader adoption of laparoscopic surgery in managing remnant gastric cancer.
08:42
Establishment of Gastric Cancer Patient-derived Xenograft Models and Primary Cell Lines
0 Views •
Cited by 5 •
2019
The current protocol describes methods to establish patient-derived xenograft (PDX) models and primary cancer cell lines from surgical gastric cancer samples. The methods provide a useful tool for drug development and cancer biology research.
10:31
Intraoperative Gastroscopy for Tumor Localization in Laparoscopic Surgery for Gastric Adenocarcinoma
0 Views •
Cited by 12 •
2016
In early gastric cancer, the aim of surgery is to precisely remove the distal stomach including the primary tumor. To do this, accurate localization of the tumor is crucial, especially in totally laparoscopic surgery. This protocol describes a procedure for intraoperative gastroscopy in totally laparoscopic subtotal gastrectomy.
03:30
Establishing an Infection Model Through Microinjection of Gastric Organoids with Pathogenic Bacteria
0 Views •
2025
This video demonstrates a method to establish a gastric organoid infection model by microinjecting gastric pathogen Helicobacter pylori into the lumen of the organoids. This model helps in studying infection-induced changes in gastric cells.
06:36
Elastic Staining on Paraffin-embedded Slides of pT3N0M0 Gastric Cancer Tissue
0 Views •
Cited by 4 •
2019
Here, we present a protocol of elastic staining to identify elastic fibers in pT3N0M0 gastric cancer tissues on formalin-fixed, paraffin-embedded sections. Subsequently, we describe a method to determine whether tumor cells invade beyond the elastic lamina.
FAQs
Altered signaling pathways can increase cell division and survival while weakening apoptosis, the programmed removal of damaged cells. At the same time, changes affecting adhesion and interactions with the tumor microenvironment may support invasion. Studying these linked processes helps researchers connect molecular abnormalities with the aggressive behavior observed in gastric cancer models.
Genetic mutations can directly alter cellular functions, whereas epigenetic alterations can change how genes are regulated without changing the underlying DNA sequence. Examining both types of change gives cancer researchers a broader view of how growth, survival, apoptosis, and tissue interactions become dysregulated. This combined perspective can also help explain differences among tumor models.
The comparison highlights molecular and cellular features associated with disease progression rather than normal stomach function. Researchers can examine differences in growth control, survival, adhesion, and responses to treatment-related conditions. These contrasts help identify abnormalities that may serve as biomarkers or provide clues for developing therapies with greater precision.
Cancer researchers may work with cultured gastric cancer cells, established cell lines, and patient-derived models. These systems provide complementary ways to investigate tumor biology and treatment response. Using more than one model can support comparisons across experimental settings, while patient-derived models add a context connected to individual tumors and their biological characteristics.
Investigators expose appropriate cell models to candidate anticancer drugs and examine how the cells respond. The resulting observations can contribute to studies of tumor biology and help evaluate treatment-related effects. Researchers may also compare responses among cultured, established, or patient-derived models to investigate why treatment sensitivity differs across experimental systems.
Researchers can compare molecular features of gastric cancer models with their treatment responses to identify biomarkers associated with sensitivity or resistance. Such associations may help distinguish tumors that respond differently to an intervention. In cancer research, this information supports efforts to match biological characteristics with therapeutic strategies and advance more precise treatment development.