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

A technology of characteristic protein and mass spectrometry model, applied in the field of mass spectrometry detection and protein 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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  • 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 use of magnetic beads and mass spectrometry to detect serum characteristic proteins in renal cancer.

Method used

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] Example 1 Discrimination of normal and renal cancer patients and preparation of mass spectrometry kit

[0051] (1) Experimental method

[0052] 64 cases of renal cell carcinoma patients (including 14 cases of stage I, 29 cases of stage II, 14 cases of stage III, 7 cases of stage IV, aged 32 to 77 years, median age of 48 years) and 26 patients with benign renal disease (age 36 years old) ~71 years, median age 45 years) of preoperative serum. 90 control sera were from healthy volunteers (aged 25-69 years old, median age 45 years old), from the physical examination population with normal liver function and renal function. 1 mL of venous blood was collected from the subjects on an empty stomach. Immediately after collection, they were placed in a refrigerator at 4 °C for 2 hours, centrifuged at 4000 r / min at 4 °C for 10 minutes to separate the serum, and the serum was centrifuged again at 12000 r / min at 4 °C for 5 minutes to remove all residual cell debris. and insoluble ...

Embodiment 2

[0078] Example 2 Clinical trial and double-blind test

[0079] Since the combination of multiple characteristic proteins can completely separate renal cancer from normal people, any two or more of the above 10 characteristic proteins are selected, and the m / z value of each protein peak is calculated according to the mass-to-charge ratio of each protein peak. And based on the critical peak mean value M of this protein, a mass spectrometry model of serum characteristic protein detection was established for the identification of renal cancer patients and normal people, benign renal disease, renal cancer lymph node metastasis and renal cancer distant metastasis patients ( Figure 3-5 ), the specific protein mass-to-charge ratio m / z and the critical peak mean value M are respectively m / z=3931, M≤15.71; m / z=5356, M≥7.31; m / z=5474, M≤4.83; m / z=3935, M≤7.76; m / z=3190, M≥7.21; m / z=4021, M≥3.29; m / z=11685, M≥22.51; m / z=15076, M≥20.71; Among them, the mass spectrometry model A for distin...

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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 renal 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 renal cancer and normal people, and patients with benign renal cancer disease, lymphatic metastasis of renal cancer and remote metastasis of renal 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 renal cancer biological marks. The method of the invention is better than any single detection method adopted currently for the detection of the renal cancer, and provides a non-invasive technique for the early detection and early treatment of the renal cancer, thus providing a new method for reducing the mortality of the renal cancer, improving the cure rate of the renal cancer and screening and examining the renal cancer for high-risk population further.

Description

Technical field [0001] The invention belongs to the field of mass spectrometry detection technology, and particularly relates to a mass spectrometry detection method optimized for kidney cancer blood. A method to capture biomarkers on a protein-binding magnetic bead matrix and detect kidney 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 a detection method or kit for a combination of renal cancer biomarkers in body fluids that have been separated from the human body. Background technique [0002] The occurrence of renal cancer is a process in which multiple gene mutations lead to the inactivation of tumor suppressor genes and the activation of oncogenes. The occurrence and development of tumors is a very complex and long process, accompanied by molecular changes in multiple...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/68G01N33/574G01N30/02
Inventor 许洋李继承
Owner 许洋
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