胆囊癌胆汁挥发性有机化合物诊断数据集
胆囊癌患者胆汁中12种挥发性有机化合物的定量数据，用于诊断生物标志物研究。
基本信息
资源简介
胆囊癌胆汁挥发性有机化合物诊断数据集
【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 14.85 KB，主题涵盖 gallbladder cancer、volatile organic compounds、diagnosis、biomarker、bile，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_4_A Panel of Bile Volatile Organic Compounds Servers as a Potential Diagnostic Biomarker for Gallbladder Cancer.docx》。配套论文《Discrimination and characterization of the volatile organic compounds in eight kinds of huajiao with geographical indication of China using electronic nose, HS-GC-IMS and HS-SPME-GC–MS》发表于 Food Chemistry（2022），DOI：10.1016/j.foodchem.2021.131671。源站首次发布：2022-03-30。
【数据内容】
源站原始描述：As no reliable diagnostic methods are available, gallbladder cancer (GBC) is often diagnosed until advanced stages, resulting in a poor prognosis. In the present study, we assessed whether volatile organic compounds (VOCs) could be used as a diagnostic tool for GBC. The VOCs in bile samples collected from 32 GBC patients were detected by gas chromatography-ion mobility spectrometry (GC-IMS), and 54 patients with benign gallbladder diseases (BGD) were used as controls. Both principal component an…
【数据结构与技术规格】
文件数 1 个，合计 14.85 KB。Table_4_A Panel of Bile Volatile Organic Compounds Servers as a Potential Diagnostic Biomarker for Gallbladder Cancer.docx：application/vnd.openxmlformats-officedocument.wordprocessingml.document，14.85 KB。数据集 DOI：10.3389/fonc.2022.858639.s005。
【主题与分类】
源站学科分类：Cancer、Haematological Tumours、Molecular Targets、Radiation Therapy、Oncology and Carcinogenesis not elsewhere classified、Solid Tumours。主题标签：gallbladder cancer、volatile organic compounds、diagnosis、biomarker、bile。
【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_4_A_Panel_of_Bile_Volatile_Organic_Compounds_Servers_as_a_Potential_Diagnostic_Biomarker_for_Gallbladder_Cancer_docx/19452932
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Zhang, Xin; Gui, Xinru; Zhang, Yanli; Liu, Qi; Zhao, Liqiang; Gao, Jingxian; et al. (2022). Table_4_A Panel of Bile Volatile Organic Compounds Servers as a Potential Diagnostic Biomarker for Gallbladder Cancer.docx. Frontiers. Dataset
【使用注意】
· 源站最后修改于 2023-05-31，引用时请注意版本时效。
下载信息
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使用方式
数据集获取（Figshare）
- 源站标题：Table_4_A Panel of Bile Volatile Organic Compounds Servers as a Potential Diagnostic Biomarker for Gallbladder Cancer.docx
- DOI：10.3389/fonc.2022.858639.s005
- 发布日期：2022-03-30
- 文件数：1 个
- 文件总体积：14.85 KB
- 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_4_A_Panel_of_Bile_Volatile_Organic_Compounds_Servers_as_a_Potential_Diagnostic_Biomarker_for_Gallbladder_Cancer_docx/19452932
命令行下载
curl -L -o "Table_4_A Panel of Bile Volatile Organic Compounds Servers as a Potential Diagnostic Biomarker for Gallbladder Cancer.docx" "https://ndownloader.figshare.com/files/34556978"
文件清单
Table_4_A Panel of Bile Volatile Organic Compounds Servers as a Potential Diagnostic Biomarker for Gallbladder Cancer.docx（14.85 KB）
文件总体积 14.85 KB（源站 API 实测）。
数据说明
As no reliable diagnostic methods are available, gallbladder cancer (GBC) is often diagnosed until advanced stages, resulting in a poor prognosis. In the present study, we assessed whether volatile organic compounds (VOCs) could be used as a diagnostic tool for GBC. The VOCs in bile samples collected from 32 GBC patients were detected by gas chromatography-ion mobility spectrometry (GC-IMS), and 54 patients with benign gallbladder diseases (BGD) were used as controls. Both principal component analysis and unsupervised hierarchical clustering analysis gave a clear separation of GBC and BGD based on the bile VOC data collected from GC-IMS. A total of 12 differentially expressed VOCs were identified, including four upregulated (cyclohexanone, 2-ethyl-1-hexanol, acetophenone, and methyl benzoate) and eight downregulated [methyl acetate, (E)-hept-2-enal, hexanal, (E)-2-hexenal, (E)-2-pentenal, pentan-1-ol, 1-octen-3-one, and (E)-2-octenal] in GBC compared with BGD. ROC analysis demonstrated a 12-VOC panel con-structed by four machine learning algorithms, which was superior to the traditional tumor marker, CA19-9. Among them, support vector machines and linear discriminant analysis provided the highest AUCs of 0.972, with a sensitivity of 100% and a specificity of 94.4% in the diagnosis of GBC. Collectively, VOCs might be used as a potential tool for the diagnosis of GBC.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fonc.2022.858639.s005（source: https://frontiersin.figshare.com/articles/dataset/Table_4_A_Panel_of_Bile_Volatile_Organic_Compounds_Servers_as_a_Potential_Diagnostic_Biomarker_for_Gallbladder_Cancer_docx/19452932）。
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