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Optimizing mass spectrogram model for detecting breast 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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  • Summary
  • 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 detection of breast cancer serum characteristic proteins using magnetic beads and mass spectrometry in China.

Method used

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

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Experimental program
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Effect test

Embodiment 1

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

[0052] (1) Experimental method

[0053] Eighty-eight patients with invasive ductal carcinoma of the breast (including 22 cases of stage I, 35 cases of stage II, 19 cases of stage III, and 12 cases of stage IV, aged 33-72 years, with a median age of 48 years) and 46 patients with benign breast tumors ( Aged 36 to 71 years old, median age 44 years old) preoperative serum. The 134 control sera came from healthy volunteers (aged 25-69 years old, median age 45 years old), from people who had normal liver function, renal function and other examinations. Collect 1mL of venous blood from the subject on an empty stomach, and immediately after collection, let it stand in the 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 ...

Embodiment 2

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

[0081] Because the combination of multiple characteristic proteins can completely separate breast 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 with the critical peak value M of the protein, a serum characteristic protein detection mass spectrometry model for pairwise identification of breast cancer patients and normal people, benign breast diseases, breast cancer lymph node metastasis and breast cancer distant metastasis was established ( Figure 2-5 ), said specific protein mass-to-charge ratio m / z and critical peak value M are respectively m / z=3164, M≥3.30; m / z=3404, M≤13.76; m / z=7977, M≥14.88; m / z=6116, M≤9.71; m / z=4180, M≥22.64; m / z=4202, M≥1.76; m / z=11683, M≥1.88; m / z=8938, M≥2.75; Among them, the mass spectrometry model A for identifying breast cancer patients and normal pe...

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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 breast cancer, 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 breast cancer and normal people, and patients with benign breast disease, lymphatic metastasis of breast cancer and remote metastasis of breast 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 further discovering new breast cancer biological marks. The method of the invention is better than any single detection method adopted currently for the detection of the breast cancer, and provides a non-invasive technique for the early detection and early treatment of the breast cancer, thus providing a new method for reducing the mortality of the breast cancer, improving the cure rate of the breast cancer and screening and examining the breast 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 breast cancer blood. One captures biomarkers on a protein-binding magnetic bead matrix and detects breast 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 breast cancer biomarker combination in the body fluid that has been separated from the human body. Background technique [0002] The occurrence of breast cancer is a process in which multiple gene mutations lead to inactivation of tumor suppressor genes and activation of oncogenes. Due to its own limitations, genomics research is difficult to fully elucidate the involvement of genes and proteins and their specific functions...

Claims

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Application Information

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IPC IPC(8): G01N33/68G01N33/574G01N30/02
Inventor 许洋周云峰
Owner 许洋
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