GC–IMS-based analysis of serum volatile organic compounds for diagnosis of gastric cancer

Gastric cancer detection remains challenging due to the lack of noninvasive early diagnostic tools. This study investigates profiling of serum volatile organic compounds (VOCs) using gas chromatography-ion mobility spectrometry (GC-IMS) for gastric cancer screening. Serum samples were obtained from 277 participants, including 123 patients with gastric cancer, 38 patients with precancerous diseases (PD), and 116 healthy controls (HC). In the model development group, Kruskal-Wallis tests showed that the levels of 19 VOCs differed significantly among gastric cancer, PD, and HC groups (p < 0.05). Based on the VOCs that differed significantly, a support vector machine (SVM) model achieved the best performance among the six models tested. Using importance ranking and forward selection, 11 VOCs were selected for the final model, achieving 96.4% accuracy in the validation set and 92.9% in an independent test set, showing higher diagnostic accuracy than the traditional tumor marker carcinoembryonic antigen. The model also achieved 100% sensitivity and > 90% specificity for detecting early gastric cancer in both the validation and test sets. Collectively, our findings suggest that GC-IMS-based serum VOC profiling may offer a potential noninvasive approach for gastric cancer detection.

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Publication Details

Journal
Scientific Reports
Published
2026-03-05
DOI
https://doi.org/10.1038/s41598-026-42602-z
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

GC–IMS-based analysis of serum volatile organic compounds for diagnosis of gastric cancer

Nannan Ning, Mai Mao, Xi Zhang, Xin Zheng et al.
Scientific Reports
Advanced Chemical Sensor Technologies
article

GC–IMS-based analysis of serum volatile organic compounds for diagnosis of gastric cancer

Nannan Ning, Mai Mao, Xi Zhang, Xin Zheng, Yuxiao Zhao, Fuwei Liang, Yueming Xin, Helgi B. Schiöth, Tong Liu, Yi Zhang, Chengxi Sun, Yanli Zhang
article en

Abstract

Gastric cancer detection remains challenging due to the lack of noninvasive early diagnostic tools. This study investigates profiling of serum volatile organic compounds (VOCs) using gas chromatography-ion mobility spectrometry (GC-IMS) for gastric cancer screening. Serum samples were obtained from 277 participants, including 123 patients with gastric cancer, 38 patients with precancerous diseases (PD), and 116 healthy controls (HC). In the model development group, Kruskal-Wallis tests showed that the levels of 19 VOCs differed significantly among gastric cancer, PD, and HC groups (p < 0.05). Based on the VOCs that differed significantly, a support vector machine (SVM) model achieved the best performance among the six models tested. Using importance ranking and forward selection, 11 VOCs were selected for the final model, achieving 96.4% accuracy in the validation set and 92.9% in an independent test set, showing higher diagnostic accuracy than the traditional tumor marker carcinoembryonic antigen. The model also achieved 100% sensitivity and > 90% specificity for detecting early gastric cancer in both the validation and test sets. Collectively, our findings suggest that GC-IMS-based serum VOC profiling may offer a potential noninvasive approach for gastric cancer detection.

Scientific ReportsVol. 16(1)
Uppsala University (SE), Fourth People’s Hospital of Jinan (CN), Shandong Provincial Hospital (CN), Qilu Hospital of Shandong University (CN), Jinan City People's Hospital (CN), Shandong First Medical University (CN), Artificial Intelligence in Medicine (Canada) (CA)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Good health and well-being
Openalex Percentile: Top 34%
Advanced Chemical Sensor Technologies
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