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

A technology of characteristic protein and mass spectrometry model, applied in the field of protein detection and mass spectrometry detection, can solve the problems of inability to detect low-abundance proteins, insufficient resolution, limited practical value, etc., to improve clinical cure, reduce fatality rate, and design accurate and reasonably practicable

Inactive Publication Date: 2008-12-24
许洋
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  • Abstract
  • 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 use of magnetic beads and mass spectrometry to detect serum characteristic proteins in normal and liver cirrhosis and liver cancer caused by hepatitis B.

Method used

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

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] Example 1 Differentiation between normal and liver cancer patients caused by hepatitis B and preparation of mass spectrometry kits

[0052] (1) Experimental method

[0053] 66 patients with liver cancer caused by hepatitis B (including 15 cases of stage I, 18 cases of stage II, 16 cases of stage III, and 17 cases of stage IV, aged 43 to 70 years, with a median age of 50 years) and 24 cases of liver cancer caused by hepatitis B The preoperative serum of patients with liver cirrhosis (age 42-68 years, median age 45 years). 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 a refrigerator at 4°C for 2 hours, centrifuge at 4,000r / min at 4°C for 10 minutes to separate the serum, and centrifuge the serum again at ...

Embodiment 2

[0080] Embodiment 2 clinical trial and double-blind test

[0081] Because the combination of multiple characteristic proteins can completely separate liver cancer from normal people, so any two or more of the above-mentioned 11 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 the protein, a serum characteristic protein detection mass spectrometry model for pairwise identification of liver cancer patients and normal people, liver cirrhosis caused by hepatitis B, and distant metastasis of liver cancer was established ( Figure 3-5 ), said specific protein mass-to-charge ratio m / z and critical peak value M are respectively m / z=5080, M≥8.56; m / z=5810, M≥10.56; m / z=5335, M≥12.36; m / z=8690, M≤2.87; m / z=4470, M≤20.21; m / z=11685, M≤16.04; m / z=5335, M≥12.36; m / z=8937, M≥10.71; Among them, the mass spectrometry model A for distinguishing liver cancer patients from normal people is dra...

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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 liver cancer caused by hepatitis b, belonging to the field of mass spectrometry detection technique. The invention is characterized in that eight 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 eleven 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 liver cancer caused by hepatitis b and normal people, and patients with liver cirrhosis caused by hepatitis b, and remote metastasis of liver 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 liver cancer biological marks. The method of the invention is better than any single detection method adopted currently for the detection of the liver cancer, and provides a non-invasive technique for the early detection and early treatment of the liver cancer, thus providing a new method for reducing the mortality of the liver cancer, improving the cure rate of the liver cancer and screening and examining the liver 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 liver cancer blood. One captures biomarkers on a protein-binding magnetic bead matrix and detects liver 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 liver cancer biomarker combination in the body fluid that has been separated from the human body. Background technique [0002] The occurrence of liver 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 proteins. Du...

Claims

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Application Information

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IPC IPC(8): G01N33/68G01N33/574G01N30/02
Inventor 许洋高尚先
Owner 许洋
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