Dataset Information

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

ABSTRACT: 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.

SUBMITTER: Chen S

PROVIDER: S-EPMC7917258 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Three-Dimensional <i>Ex Vivo</i> Culture for Drug Responses of Patient-Derived Gastric Cancer Tissue.

Chen Sian S Chen Chenbin C Hu Yuanbo Y Zhu Ce C Luo Xiaozhi X Wang Lizhu L Wang Xiang X Sun Xiangwei X Chen Xiaodong X Xie Wangkai W Lou Han H Huang Xielin X Li Chao C Xu Jun J Xue Xiangyang X Shen Xian X

Frontiers in oncology 20210215

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 ...[more]

PMID: 33659211

Similar Datasets

Project description:Rationale: Continued reliance on preclinical animal models and traditional human cell culture experiments conducted on supraphysiologically stiff surfaces in two dimensions often limits the translation of cellular and molecular mechanistic findings into effective therapies for patients suffering from chronic obstructive pulmonary disease (COPD). COPD ranks as the fourth highest cause of mortality in the United States, and thus it is imperative to improve ex vivo models of this devastating disease. One emerging novel model of study involves using precision-cut lung slices as three-dimensional lung tissue culture (3D-LTC) platforms. Although this model retains the complex pulmonary architecture required for more precise ex vivo modeling, it is limited by short-term viability (?5–7 d). Objectives: We hypothesized that this decrease in viability is related to slices losing the extracellular matrix adhesion foundation critical for normal cellular functioning and that encapsulation of slices in custom hydrogel microenvironments would improve maintenance of a stable phenotype for longer-term investigational studies. Methods: The 3D-LTC slices tested here were created according to standard protocols from healthy mouse lungs and from the lungs of a patient with COPD. We synthesized poly(ethylene glycol)–based polymers to create custom hydrogels for encapsulation of 3D-LTCs with mechanical properties that match each type of lung tissue. The Young’s modulus (E) or stiffness of hydrogels was measured with a parallel-plate rheometer. Lung slices were analyzed for viability with a colorimetric assay that measures cellular metabolism (WST-1; Millipore Sigma) and by staining for cell membrane integrity (Invitrogen LIVE/DEAD viability kit; Thermo Fisher Scientific). All fluorescently labeled samples were imaged by spinning disk confocal microscopy, and cell viability at all time points was analyzed with ImageJ software. Results: The average percent viability of cells within hybrid 3D-LTCs was consistently higher than control 3D-LTCs on Day 1 (35% increase; P?<?0.001) and Day 7 (55% increase; P?<?0.001) according to LIVE/DEAD staining results. The WST-1 assay further showed no significant difference in viability between the two systems up to Day 18 in culture. Conclusions: We have demonstrated that it is possible to create customized hydrogel platforms that replicate the stiffness of healthy mouse and human COPD lung tissues. Precision cut lung slices embedded in these materials maintain higher levels of viability compared with controls in culture. Further optimization of this technology platform is ongoing and will facilitate the development of more organotypic ex vivo models of chronic pulmonary disease.

Dataset Information

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

Publications

Three-Dimensional <i>Ex Vivo</i> Culture for Drug Responses of Patient-Derived Gastric Cancer Tissue.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets