Optimizing mass spectrogram model for detecting nasopharyngeal 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, limited practical value, insufficient resolution, etc., 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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  • 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 normal and nasopharyngeal carcinoma serum characteristic proteins using magnetic beads and mass spectrometry.

Method used

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

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Effect test

Embodiment 1

[0051] Example 1 The distinction between normal and nasopharyngeal carcinoma patients and the preparation of mass spectrometry kits

[0052] (1) Experimental method

[0053] 66 patients with nasopharyngeal carcinoma (including 17 cases of stage I, 17 cases of stage II, 17 cases of stage III, and 15 cases of stage IV, aged 43-55 years, with a median age of 45 years) and 24 patients with benign nasopharyngeal diseases (age 42 to 50 years old, with a median age of 43 years) preoperative serum. The 90 control sera came from healthy volunteers (aged 40-55 years, with a median age of 44 years), and were obtained from a population with normal liver and kidney 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 12,000r / min at 4°C for 5 minutes to remove all residual cell d...

Embodiment 2

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

[0081] Because the combination of multiple characteristic proteins can completely separate nasopharyngeal carcinoma 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 of each protein peak, Based on the value and the critical peak value M of the protein, a serum characteristic protein detection mass spectrometry model for pairwise identification of patients with nasopharyngeal carcinoma and normal people, benign nasopharyngeal disease, lymph node metastasis of nasopharyngeal carcinoma, and distant metastasis of nasopharyngeal carcinoma was established ( Figure 3-5 ), said specific protein mass-to-charge ratio m / z and critical peak value M are respectively m / z=8073, M≥4.21; m / z=3935, M≤11.76; m / z=15950, M≥12.86; m / z=8604, M≤2.76; m / z=25242, M≥0.33; m / z=11686, M≤2.56; m / z=11470, M≥1.71; m / z=5065, M≤5.70; Among them, the mass...

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

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/68G01N33/574G01N30/02
Inventor 曾益新许洋
Owner 许洋
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