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Quantitative gastric carcinoma patient survival prediction and individual follow-up schedule evaluation method based on helicobacter pylori DNA molecules

A technology of Helicobacter pylori and DNA molecules, which is applied in the direction of microorganism-based methods, biochemical equipment and methods, microorganisms, etc., can solve the problems of not giving individualized follow-up plans for patients, so as to save manpower, reduce psychological burden, prolong The effect on patient lifespan

Inactive Publication Date: 2015-04-29
SHIHEZI UNIVERSITY
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Problems solved by technology

The guideline emphasizes the importance of follow-up, but does not give an individualized follow-up plan according to the patient's own condition

Method used

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  • Quantitative gastric carcinoma patient survival prediction and individual follow-up schedule evaluation method based on helicobacter pylori DNA molecules
  • Quantitative gastric carcinoma patient survival prediction and individual follow-up schedule evaluation method based on helicobacter pylori DNA molecules
  • Quantitative gastric carcinoma patient survival prediction and individual follow-up schedule evaluation method based on helicobacter pylori DNA molecules

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Embodiment Construction

[0033] The present invention will be described in further detail below in conjunction with specific examples, but not as a limitation of the present invention. In the following description, different "one embodiment" or "embodiment" do not necessarily refer to the same embodiment. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0034] refer to figure 1 , a method for predicting the survival of patients with gastric cancer based on molecular quantification of Helicobacter pylori DNA, comprising the following steps:

[0035] 1) Detect the relative infection amount of Helicobacter pylori (Hp) in the gastric cancer tissue;

[0036] 2) Carry out prognosis assessment according to the relative infection amount of detected Helicobacter pylori;

[0037] Among them, the degree of poor prognosis increased with the increase of the relative infection amount of Helicobacter pylori.

[0038] In the ...

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Abstract

The invention discloses a quantitative gastric carcinoma patient survival prediction and individual follow-up schedule evaluation method based on helicobacter pylori DNA molecules. The survival prediction method comprises the following steps: (1) detecting the relative infection dose of helicobacter pylori (Hp) in gastric carcinoma tissues; and (2) performing prognosis evaluation according to the detected relative infection dose of helicobacter pylori, wherein the poor prognosis degree is increased along with increase of the relative infection dose of helicobacter pylori. According to the method, the prognosis of a gastric carcinoma patient is evaluated so as to determine the most reasonable follow-up schedule suitable for the patient, and according to follow-up at the reasonable follow-up schedule, metastasis or reoccurrence symptoms are early discovered, and the survival quality and survival schedule of the gastric carcinoma patients are improved.

Description

technical field [0001] The invention relates to the technical field of postoperative situation prediction for gastric cancer patients, in particular to a method for predicting the survival of gastric cancer patients and evaluating individualized follow-up time based on DNA molecular quantification of Helicobacter pylori. Background technique [0002] According to the latest statistics from the World Cancer Research Organization (IARC) Globocan, the number of new gastric cancer cases in the world in 2012 was more than 952,000, accounting for 6.8% of the global cancer incidence, ranking fifth; the global death toll of gastric cancer was 723,000 More than 100,000 people account for 8.8% of the total number of cancer deaths worldwide, ranking third. Cancer is a special type of disease. Cancer patients are cured and discharged after receiving effective standardized radical treatment in the hospital. However, cancer patients always have the possibility of recurrence or metastasis,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/68C12Q1/06C12R1/01
CPCC12Q1/6851C12Q2561/113C12Q2561/101
Inventor 张文杰李一鑫李锋李秀明
Owner SHIHEZI UNIVERSITY
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