OncoDrug+ 药物数据 2.0
手动收集的癌症药物组合及多级证据数据集，支持肿瘤学循证用药决策。
基本信息
资源简介
OncoDrug+ 药物数据 2.0
【数据集背景】
本数据集源站标题为《OncoDrug+ data 2.0》。源站首次发布：2025-06-13。
【数据内容】
源站原始描述：Combinations of cancer drugs have the potential to overcome resistance, improve the response rate of existing drugs and reduce dose-limiting toxicity associated with single agents. Existing drug combination databases only provide response data, such as synergy scores between two drugs, without important contextual information to assist oncologists in matching their patients with these combinations in an evidence-based way. To address this gap, we constructed an unique dataset by manually collect…
【数据结构与技术规格】
文件数 4 个，合计 882.70 KB。LevelA_dataset.xlsx：application/vnd.openxmlformats-officedocument.spreadsheetml.sheet，26.02 KB。LevelB_dataset.xlsx：application/vnd.openxmlformats-officedocument.spreadsheetml.sheet，185.84 KB。LevelC_dataset.xlsx：application/vnd.openxmlformats-officedocument.spreadsheetml.sheet，193.69 KB。数据集 DOI：10.6084/m9.figshare.27795573.v4。
【主题与分类】
源站学科分类：Pharmacogenomics。主题标签：Drug combination、cancer treatment。
【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://figshare.com/articles/dataset/OncoDrug_data_2_0/27795573
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Dong, Xiaobao (2024). OncoDrug+ data 2.0. figshare. Dataset
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。
暂未开放公开下载
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：OncoDrug+ data 2.0
- DOI：10.6084/m9.figshare.27795573.v4
- 发布日期：2025-06-13
- 文件数：4 个
- 文件总体积：882.70 KB
- 源站页面：https://figshare.com/articles/dataset/OncoDrug_data_2_0/27795573
命令行下载
curl -L -o "LevelA_dataset.xlsx" "https://ndownloader.figshare.com/files/55360562"
curl -L -o "LevelB_dataset.xlsx" "https://ndownloader.figshare.com/files/55360565"
curl -L -o "LevelC_dataset.xlsx" "https://ndownloader.figshare.com/files/55360568"
curl -L -o "LevelD_dataset.xlsx" "https://ndownloader.figshare.com/files/55360559"
文件清单
LevelA_dataset.xlsx（26.02 KB）LevelB_dataset.xlsx（185.84 KB）LevelC_dataset.xlsx（193.69 KB）LevelD_dataset.xlsx（477.14 KB）
文件总体积 882.70 KB（源站 API 实测）。
数据说明
Combinations of cancer drugs have the potential to overcome resistance, improve the response rate of existing drugs and reduce dose-limiting toxicity associated with single agents. Existing drug combination databases only provide response data, such as synergy scores between two drugs, without important contextual information to assist oncologists in matching their patients with these combinations in an evidence-based way. To address this gap, we constructed an unique dataset by manually collecting and integrating drug combinations and corresponding evidences from FDA databases, clinical guidelines, clinical trials, clinical case reports, patient-derived tumor xenograft models, cell line models and bioinformatics predictions.
- Records classified into Level A were derived from professional clinical guidelines or included in the FDA database.
- Records classified into Level B were collected from clinical trials and individual case reports in electronic medical records.
- Records classified into Level C were obtained from in vivo or in vitro experiments, including PDX mouse models, cell line models and high-throughput drug screening experiments.
- Records classified into Level D dataset were derived from drug combination predictions based on bioinformatic algorithms.
Our manuscript about this dataset has been submitted.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.27795573.v4（source: https://figshare.com/articles/dataset/OncoDrug_data_2_0/27795573）。
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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