4.6 Article

Three-Dimensional Ex Vivo Culture for Drug Responses of Patient-Derived Gastric Cancer Tissue

Journal

FRONTIERS IN ONCOLOGY
Volume 10, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fonc.2020.614096

Keywords

gastric cancer; ex vivo tumor tissue culture; proliferation; apoptosis; chemotherapy effectiveness

Categories

Funding

  1. National Nature Science Foundation of China [81672707, 31670922]
  2. Key R&D Program of Zhejiang Province [2020C03029]
  3. Zhejiang Provincial Natural Science Foundation of China [LQ16H190003]

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The study established a 3D culturing platform to accurately predict drug responses for gastric cancer. By evaluating cell proliferation, viability, and apoptosis markers, differential sensitivities to chemotherapeutics across different patient-derived tissues were identified, enabling personalized medication plans. This rapid, cost-effective, scalable, and reproducible protocol for GC tissue culture can greatly impact future oncological research.
Gastric cancer (GC) is one of the most common malignancies with high mortality and substantial morbidity. Although the traditional treatment strategies for GC revolve around surgery, radiotherapy, and chemotherapy, none have been able to optimally treat most affected patients. To improve clinical outcomes and overcome potential GC resistance, we established a three-dimensional (3D) culturing platform that accurately predicts drug responses in a time- and cost-effective manner. We collected tumor tissues from patients following surgeries and cultured them for 3 days using our protocol. We first evaluated cell proliferation, viability, and apoptosis using the following markers: Ki67 and cleaved caspase 3 (Cas3). We demonstrated that cell viability was maintained for 72 h in culture and that the tumor microenvironments and vascular integrities of the tissues were intact throughout the culture period. We then administered chemotherapeutics to assess drug responses and found differential sensitivity across different patient-derived tissues, enabling us to determine individualized medication plans. Overall, our study validated this rapid, cost-effective, scalable, and reproducible protocol for GC tissue culture that can be employed for drug response assessments. Our 3D culture platform paves a new way for personalized medication in GC and other tumors and can greatly impact future oncological research.

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