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Method for establishing gastric cancer risk prediction model for gastric cancer diagnosis

A technology of risk prediction and gastric cancer model, which is applied in the field of establishing a risk prediction model of gastric cancer, can solve the problems of human incision trauma, difficulty in early diagnosis of gastric cancer, and low survival rate, and achieve the effect of improving early and accurate prediction

Pending Publication Date: 2021-06-11
周晓颖
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  • Abstract
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  • Application Information

AI Technical Summary

Benefits of technology

This patented technology helps predict how likely it will lead to developing oral cancers on people who have been given treatments for their disease. It involves sampling small amounts from subjects' stomachs taken at random intervals over several months before they are tested again. By comparing these results against previous data collected during testing, we aimed towards identifying individuals most prone to develop carcinoma-related diseases earlier than possible while reducing unnecessary procedures like surgery.

Problems solved by technology

The technical problem addressed by this patented technology relates to developing an accurate predictive system that could help identify individuals at increased risk from gastrointestinal (GI) neoplasms such as stomach adenocarcity without requiring invasiveness procedures like exploration techniques.

Method used

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  • Method for establishing gastric cancer risk prediction model for gastric cancer diagnosis

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Embodiment 1

[0024] see figure 1 , the present invention provides a technical solution: a method for establishing a risk prediction model of gastric cancer for the diagnosis of gastric cancer, comprising the following steps:

[0025] S1. Collect blood samples from 30 voluntary patients with gastric cancer as model blood samples, including 20 males and 10 females. After the blood samples are left to stand and centrifuged, the serum is drawn and packed into centrifuge tubes, and stored at -80°C; another 20 volunteers are collected The blood sample of the experimental subject was used as the verification blood sample, and the blood sample was also left to stand and centrifuged, and the serum was collected and divided into centrifuge tubes, and stored at -80°C;

[0026] S2. Take out the model blood sample, first place 1 μl of blood sample and let it dry at room temperature, then place 1 μl of matrix and let it dry at room temperature, add 0.2 μl of Staphylococcus protein A and air dry;

[002...

Embodiment 2

[0040] see figure 1 , the present invention provides a technical solution: a method for establishing a risk prediction model of gastric cancer for the diagnosis of gastric cancer, comprising the following steps:

[0041] S1. Collect blood samples from 50 voluntary patients with gastric cancer as model blood samples, including 30 males and 20 females. After the blood samples are left to stand and centrifuged, the serum is drawn and packed into centrifuge tubes, and stored at -80°C; another 30 volunteers are collected The blood sample of the experimental subject was used as the verification blood sample, and the blood sample was also left to stand and centrifuged, and the serum was collected and divided into centrifuge tubes, and stored at -80°C;

[0042] S2. Take out the model blood sample, first place 1 μl of blood sample and let it dry at room temperature, then place 1 μl of matrix and let it dry at room temperature, add 0.2 μl of Staphylococcus protein A and air dry;

[004...

Embodiment 3

[0056] see figure 1 , the present invention provides a technical solution: a method for establishing a risk prediction model of gastric cancer for the diagnosis of gastric cancer, comprising the following steps:

[0057] S1. Collect blood samples from 40 voluntary patients with gastric cancer as model blood samples, including 25 males and 15 females. After the blood samples are left to stand and centrifuged, the serum is drawn and packed into centrifuge tubes, and stored at -80°C; another 40 volunteers are collected The blood sample of the experimental subject was used as the verification blood sample, and the blood sample was also left to stand and centrifuged, and the serum was collected and divided into centrifuge tubes, and stored at -80°C;

[0058] S2. Take out the model blood sample, first place 1 μl of blood sample and let it dry at room temperature, then place 1 μl of matrix and let it dry at room temperature, add 0.2 μl of Staphylococcus protein A and air dry;

[005...

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Abstract

The invention discloses a method for establishing a gastric cancer risk prediction model for gastric cancer diagnosis. The method comprises the following steps: S1, collecting blood samples of 30-50 gastric cancer voluntary patients as model establishment blood samples, the voluntary patients including 20-30 male patients and 10-20 female patients, standing and centrifuging the blood samples, sucking serum, sub-packaging the serum into centrifugal tubes, and storing the centrifugal tubes at -80 DEG C. The blood samples of the gastric cancer voluntary patients and voluntary experimental subjects are collected, then data such as a mass-to-charge ratio is acquired by using a mass spectrometer to make and establish models, then the model of the gastric cancer voluntary patients is compared with the model of the voluntary experimental subjects, and the cancer risk is predicted according to a protein spectrum differential expression model, so that the problems that some diagnosis modes can cause incision wounds to human bodies, some diagnosis modes are high in price and cannot achieve universality, early screening of voluntary patients with gastric cancer cannot be achieved, and the earliest treatment time of gastric cancer is delayed are solved.

Description

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Claims

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Application Information

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Owner 周晓颖
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