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Nuclear magnetic resonance model and preparation method for detecting gastric cancer-related metabolic small molecules

A metabolite small molecule, nuclear magnetic resonance technology, applied in the field of malignant tumor gastric cancer detection, to achieve the effect of low cost, high sensitivity and specificity

Active Publication Date: 2017-07-18
SHANGHAI JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Although nuclear magnetic resonance spectroscopy has been used in the detection of tumor metabolites, so far there has been no report that the model constructed by nuclear magnetic resonance spectroscopy can be used for gastric cancer detection, and the accuracy rate reaches more than 85%.

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  • Nuclear magnetic resonance model and preparation method for detecting gastric cancer-related metabolic small molecules
  • Nuclear magnetic resonance model and preparation method for detecting gastric cancer-related metabolic small molecules

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Embodiment 1

[0046] 1. NMR model and its preparation method

[0047] Step 1: Sample selection

[0048] According to the 2010 International Union Against Cancer / American Joint Committee on Cancer (UICC / AJCC) TNM staging criteria, the staging of gastric cancer is as follows:

[0049] Stage 0: Tumor infiltrates to the mucosa, but does not involve the lamina propria, and no local lymph node metastasis;

[0050] ●Stage IA: Where the tumor infiltrates to the mucosa or submucosa, there is no local lymph node metastasis;

[0051] ●Stage IB: the tumor has infiltrated into the mucosa or submucosa, accompanied by lymph node metastasis within 3 cm from the primary tumor; or the tumor has infiltrated into the muscular layer or subserosa, but there is no local lymph node metastasis;

[0052] ●Stage II: Tumor infiltrates into mucosa or submucosa, but has local lymph node metastasis beyond 3 cm from the primary tumor; tumor has invaded muscular layer and subserosa, but only metastasizes to lymph nodes w...

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Abstract

The invention provides a nuclear magnetic resonance model for detecting gastric cancer-associated small metabolites and a preparation method of the nuclear magnetic resonance model. According to the nuclear magnetic resonance model and the preparation method, the small metabolites in plasma samples of a gastric cancer patient and a healthy person are determined by adopting a nuclear magnetic resonance spectrometer, a traditional statistics method and a modern bioinformatics method are combined to carry out data processing, and 9 corresponding gastric cancer-associated small metabolite markers are screened, so that the nuclear magnetic resonance model for detecting the gastric cancer-associated small metabolites is prepared, and a foundation and resources are provided for looking for new ideal tumor markers.

Description

technical field [0001] The invention relates to the field of detection of malignant tumor gastric cancer. A nuclear magnetic resonance model and its preparation and application methods are used to discover and detect gastric cancer in vitro, with an accuracy rate of 70.8%, a sensitivity of 81.6%, and a specificity of 60.0%. . Background technique [0002] Gastric cancer is one of the cancers with a high incidence rate in my country. Most gastric cancer patients have no obvious symptoms, and a small number of people have symptoms of upper gastrointestinal diseases such as nausea, vomiting or ulcer-like symptoms. The incidence of gastric cancer is regional. Studies have found that Asian regions, such as China, Japan, and South Korea, have higher incidence rates. Secondly, the pathogenesis of gastric cancer is relatively complicated. At present, the reported studies have found that the inducement of gastric cancer is related to daily diet factors, gastric ulcer disease, gastr...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N24/08
Inventor 崔大祥成尚利
Owner SHANGHAI JIAOTONG UNIV