三维离体培养用于患者来源胃癌组织药物反应的数据表1
胃癌患者来源肿瘤组织的3D培养药物反应数据表,包含细胞标志物和药物敏感性结果。

基本信息
资源简介
三维离体培养用于患者来源胃癌组织药物反应的数据表1
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 19.91 KB,主题涵盖 gastric cancer、ex vivo tumor tissue culture、proliferation、apoptosis、chemotherapy effectiveness,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Table_1_Three-Dimensional Ex Vivo Culture for Drug Responses of Patient-Derived Gastric Cancer Tissue.docx》。配套论文《Generation, maintenance and tissue distribution of T cell responses to human cytomegalovirus in lytic and latent infection》发表于 Medical Microbiology and Immunology(2019),DOI:10.1007/s00430-019-00598-6。源站首次发布:2021-02-15。
【数据内容】
源站原始描述: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…
【数据结构与技术规格】
文件数 1 个,合计 19.91 KB。Table_1_Three-Dimensional Ex Vivo Culture for Drug Responses of Patient-Derived Gastric Cancer Tissue.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,19.91 KB。数据集 DOI:10.3389/fonc.2020.614096.s002。
【主题与分类】
源站学科分类:Cancer、Haematological Tumours、Radiation Therapy、Solid Tumours、Oncology and Carcinogenesis not elsewhere classified、Molecular Targets。主题标签:gastric cancer、ex vivo tumor tissue culture、proliferation、apoptosis、chemotherapy effectiveness。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面:https://frontiersin.figshare.com/articles/dataset/Table_1_Three-Dimensional_Ex_Vivo_Culture_for_Drug_Responses_of_Patient-Derived_Gastric_Cancer_Tissue_docx/14033987
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Chen, Sian; Chen, Chenbin; Hu, Yuanbo; Zhu, Ce; Luo, Xiaozhi; Wang, Lizhu; et al. (2021). Table_1_Three-Dimensional Ex Vivo Culture for Drug Responses of Patient-Derived Gastric Cancer Tissue.docx. Frontiers. Dataset
【使用注意】
· 源站最后修改于 2023-06-04,引用时请注意版本时效。
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
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无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取(Figshare)
- 源站标题:Table_1_Three-Dimensional Ex Vivo Culture for Drug Responses of Patient-Derived Gastric Cancer Tissue.docx
- DOI:10.3389/fonc.2020.614096.s002
- 发布日期:2021-02-15
- 文件数:1 个
- 文件总体积:19.91 KB
- 源站页面:https://frontiersin.figshare.com/articles/dataset/Table_1_Three-Dimensional_Ex_Vivo_Culture_for_Drug_Responses_of_Patient-Derived_Gastric_Cancer_Tissue_docx/14033987
命令行下载
curl -L -o "Table_1_Three-Dimensional Ex Vivo Culture for Drug Responses of Patient-Derived Gastric Cancer Tissue.docx" "https://ndownloader.figshare.com/files/26469401"
文件清单
Table_1_Three-Dimensional Ex Vivo Culture for Drug Responses of Patient-Derived Gastric Cancer Tissue.docx(19.91 KB)
文件总体积 19.91 KB(源站 API 实测)。
数据说明
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.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fonc.2020.614096.s002(source: https://frontiersin.figshare.com/articles/dataset/Table_1_Three-Dimensional_Ex_Vivo_Culture_for_Drug_Responses_of_Patient-Derived_Gastric_Cancer_Tissue_docx/14033987)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
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