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鉴定尿液中的挥发性有机化合物作为食管癌潜在的非侵入性生物标志物。

Identification of urinary volatile organic compounds as a potential non-invasive biomarker for esophageal cancer.

机构信息

Department of Clinical Laboratory, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China.

Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, 107 Wenhua Xi Road, Jinan, 250012, Shandong, China.

出版信息

Sci Rep. 2023 Oct 30;13(1):18587. doi: 10.1038/s41598-023-45989-1.

DOI:10.1038/s41598-023-45989-1
PMID:37903959
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10616168/
Abstract

Early diagnosis of esophageal cancer (EC) is extremely challenging. The study presented herein aimed to assess whether urinary volatile organic compounds (VOCs) may be emerging diagnostic biomarkers for EC. Urine samples were collected from EC patients and healthy controls (HCs). Gas chromatography-ion mobility spectrometry (GC-IMS) was next utilised for volatile organic compound detection and predictive models were constructed using machine learning algorithms. ROC curve analysis indicated that an 8-VOCs based machine learning model could aid the diagnosis of EC, with the Random Forests having a maximum AUC of 0.874 and sensitivities and specificities of 84.2% and 90.6%, respectively. Urine VOC analysis aids in the diagnosis of EC.

摘要

早期诊断食管癌（EC）极具挑战性。本研究旨在评估尿液中的挥发性有机化合物（VOCs）是否可能成为 EC 的新兴诊断生物标志物。收集了食管癌患者和健康对照者（HCs）的尿液样本。接下来，使用气相色谱-离子迁移谱（GC-IMS）进行挥发性有机化合物检测，并使用机器学习算法构建预测模型。ROC 曲线分析表明，基于 8 种 VOC 的机器学习模型可辅助 EC 的诊断，随机森林的 AUC 最大为 0.874，灵敏度和特异性分别为 84.2%和 90.6%。尿液 VOC 分析有助于 EC 的诊断。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7061/10616168/11bd095c9baa/41598_2023_45989_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7061/10616168/24a8110a8633/41598_2023_45989_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7061/10616168/31ff031dd157/41598_2023_45989_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7061/10616168/984c971e5eb9/41598_2023_45989_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7061/10616168/11bd095c9baa/41598_2023_45989_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7061/10616168/24a8110a8633/41598_2023_45989_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7061/10616168/31ff031dd157/41598_2023_45989_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7061/10616168/984c971e5eb9/41598_2023_45989_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7061/10616168/11bd095c9baa/41598_2023_45989_Fig4_HTML.jpg

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Identification of urinary volatile organic compounds as a potential non-invasive biomarker for esophageal cancer.

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[1]
Identification of a panel of volatile organic compounds in urine for early detection of for bladder cancer.

Sci Rep. 2025-5-19

[2]
Headspace Injection Method for Intermittent Sampling and Profiling Analyses of Volatile Organic Compounds Using Dielectric Barrier Discharge Ionization (DBDI).

J Am Soc Mass Spectrom. 2025-4-2

[3]
Non-Invasive Detection of Tumors by Volatile Organic Compounds in Urine.

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[4]
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[5]
The human volatilome meets cancer diagnostics: past, present, and future of noninvasive applications.

Metabolomics. 2024-10-7

[6]
Volatile-compound fingerprinting and discrimination of positional isomers in stamp-pad ink tracing using HS-GC-IMS combined with multivariate statistical analysis.

Anal Bioanal Chem. 2024-2

本文引用的文献

[1]
Cancer incidence and mortality in China, 2016.

J Natl Cancer Cent. 2022-2-27

[2]
Volatile organic compounds for early detection of prostate cancer from urine.

Heliyon. 2023-5-25

[3]
Metabolic Adaptation-Mediated Cancer Survival and Progression in Oxidative Stress.

Antioxidants (Basel). 2022-7-5

[4]
Headspace Volatile Organic Compound Profiling of Pleural Mesothelioma and Lung Cancer Cell Lines as Translational Bridge for Breath Research.

Front Oncol. 2022-5-6

[5]
Identification of lung cancer breath biomarkers based on perioperative breathomics testing: A prospective observational study.

EClinicalMedicine. 2022-4-16

[6]
A Panel of Bile Volatile Organic Compounds Servers as a Potential Diagnostic Biomarker for Gallbladder Cancer.

Front Oncol. 2022-3-30

[7]
Quantitative metabolic analysis of plasma extracellular vesicles for the diagnosis of severe acute pancreatitis.

J Nanobiotechnology. 2022-1-28

[8]
Urinary Volatiles and Chemical Characterisation for the Non-Invasive Detection of Prostate and Bladder Cancers.

Biosensors (Basel). 2021-11-3

[9]
Diurnal variability in urinary volatile organic compound metabolites and its association with oxidative stress biomarkers.

Sci Total Environ. 2022-4-20

[10]
A prediction model using 2-propanol and 2-butanone in urine distinguishes breast cancer.

Sci Rep. 2021-10-5

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