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Optimizing mass spectrogram model for detecting stomach cancer characteristic protein and preparation method and application thereof

A technology of characteristic protein and mass spectrometry model, which is applied in the field of mass spectrometry detection and protein detection, can solve the problems of inability to detect low-abundance proteins, limited practical value, and insufficient resolution, so as to improve clinical cure, accurate design, reasonable and feasible, The effect of reducing the fatality rate

Inactive Publication Date: 2008-12-24
许洋
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

2-DE was first used in clinical proteomics research, but its resolution for hydrophobic, strongly acidic and strongly basic proteins is not enough, and it cannot detect low-abundance proteins, so its practical value is limited
However, there is no report on the detection of serum characteristic proteins of gastric cancer using magnetic beads and mass spectrometry in China.

Method used

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  • Optimizing mass spectrogram model for detecting stomach cancer characteristic protein and preparation method and application thereof
  • Optimizing mass spectrogram model for detecting stomach cancer characteristic protein and preparation method and application thereof
  • Optimizing mass spectrogram model for detecting stomach cancer characteristic protein and preparation method and application thereof

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] Example 1 The distinction between normal and gastric cancer patients and the preparation of mass spectrometry kits

[0051] (1) Experimental method

[0052] Sixty-six patients with gastric adenocarcinoma (including 14 cases of stage I, 20 cases of stage II, 14 cases of stage III, and 16 cases of stage IV, aged 43 to 79 years, with a median age of 52 years) and 24 patients with benign gastric diseases (ages 42 to 78 years old, median age 51 years) of preoperative serum. The 90 control sera came from healthy volunteers (age 40-69 years old, median age 49 years old), and they came from the physical examination population with normal liver function and renal function tests. Collect 1mL of venous blood from the subject on an empty stomach, immediately after collection, let it stand in the refrigerator at 4°C for 2 hours, centrifuge at 4000r / min at 4°C for 10 minutes to separate the serum, and centrifuge the serum again at 12000r / min at 4°C for 5 minutes to remove all residu...

Embodiment 2

[0078] Embodiment 2 clinical trial and double-blind test

[0079] Since the combination of multiple characteristic proteins can completely separate gastric cancer from normal people, so any two or more of the above 10 characteristic proteins are selected, and according to the mass-to-charge ratio m / z value of each protein peak and Based on the critical peak value M of this protein, a serum characteristic protein detection mass spectrometry model for pairwise identification of gastric cancer patients and normal persons, benign gastric diseases, gastric cancer lymph node metastasis and gastric cancer distant metastasis was established ( Figure 3-5 ), said specific protein mass-to-charge ratio m / z and critical peak value M are respectively m / z=1465, M≥10.21; m / z=5089, M≥8.29; m / z=11471, M≥13.23; m / z=6443, M≤2.76; m / z=1465, M≥16.77; m / z=8936, M≥10.71; m / z=11680, M≥21.64; m / z=8892, M≥11.56; Among them, the mass spectrometry model A for distinguishing gastric cancer patients from n...

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Abstract

The invention relates to an optimum mass spectrometry model and a preparation method thereof for detecting the feature protein of gastric cancer, belonging to the field of mass spectrometry detection technique. The invention is characterized in that seven up-regulated proteins and three lower-regulated proteins are screened from the blood serum to be used as the feature proteins; any two or more proteins of the ten proteins are chosen so as to establish a blood serum feature protein mass spectrometry model of identification with two in a group for patients with gastric cancer and normal people, and patients with benign gastric cancer disease, lymphatic metastasis of gastric cancer and remote metastasis of gastric cancer according to the mass-charge ratio m / z of each protein peak and the critical peak average value of the protein; the preparation method of the invention provides a foundation for discovering new gastric cancer biological marks. The method of the invention is better than any single detection method adopted currently for the detection of the gastric cancer, provides a non-invasive technique for the early detection and early treatment of the gastric cancer, thus providing a new method for reducing the mortality of the gastric cancer, improving the cure rate of the gastric cancer and screening and examining the gastric cancer for high-risk population further.

Description

technical field [0001] The invention belongs to the technical field of mass spectrometry detection, in particular to a mass spectrometry detection method optimized for gastric cancer blood. One captures biomarkers on a protein-binding magnetic bead matrix and detects gastric cancer biomarkers using quantitatively controlled mass spectrometry. The invention mentioned here relates to the field of protein detection and is a new non-invasive in vitro mass spectrometry detection method. The present invention can be applied to the detection method or kit of the combination of gastric cancer biomarkers in the body fluid that has been separated from the human body. Background technique [0002] The occurrence of gastric cancer is a process in which multiple gene mutations lead to inactivation of tumor suppressor genes and activation of oncogenes. The occurrence and development of tumors is a very complex and lengthy process, accompanied by molecular changes of multiple genes and p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/68G01N33/574G01N30/02
Inventor 许洋叶再元
Owner 许洋
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