A method for screening gastric cancer based on tongue coating microbial proteins
By screening tongue coating microbial proteins using PCT-DIA mass spectrometry and machine learning technology, a gastric cancer diagnostic model was constructed, solving the invasiveness and accuracy problems of existing gastric cancer screening methods and achieving efficient gastric cancer screening and diagnosis.
CN117686712BActive Publication Date: 2026-06-12ZHEJIANG CANCER HOSPITAL
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHEJIANG CANCER HOSPITAL
- Filing Date
- 2023-11-24
- Publication Date
- 2026-06-12
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Figure CN117686712B_ABST
Abstract
The application discloses a method for screening gastric cancer based on tongue coating microbial proteins. The application analyzes tongue coating proteins through proteomics, screens protein markers capable of distinguishing gastric cancer from non-gastric cancer, and constructs a gastric cancer diagnosis model. The gastric cancer diagnosis model is internally and externally verified by using a test set and a verification set, and it is proved that the screened protein markers and the constructed gastric cancer diagnosis model can effectively distinguish cases with gastric cancer risks, and can assist clinicians in making decisions, thereby improving the screening efficiency of gastric cancer.
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