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Mass spectrum model for detecting proteins of lung cancer and construction method thereof

A mass spectrometry model, lung cancer technology, applied in the field of malignant tumor detection, to achieve high sensitivity and specificity, reasonable and feasible design, and the effect of prolonging life

Active Publication Date: 2012-01-18
BIOYONG TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the accuracy of MALDI-TOF is as high as 0.1% to 0.01%, which is much higher than that of SDS electrophoresis and high-performance gel chromatography currently used routinely, there are still some defects in the application of tumor markers, especially lung cancer markers. Therefore, So far, there is no report on the detection of lung cancer markers or lung cancer serum characteristic proteins using MALDI-TOF-MS technology in China

Method used

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  • Mass spectrum model for detecting proteins of lung cancer and construction method thereof
  • Mass spectrum model for detecting proteins of lung cancer and construction method thereof
  • Mass spectrum model for detecting proteins of lung cancer and construction method thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0034] Example 1 Establishment of lung cancer mass spectrometry model

[0035] 1. Samples and instruments:

[0036] Serum samples were selected from 94 cases, of which 60 were from lung cancer patients and the other 34 were from healthy people. The lung cancer patients were all confirmed by postoperative pathological reports. All serum samples were drawn in the morning on an empty stomach, and the serum was separated and stored in a -80 low-temperature refrigerator.

[0037] The matrix-assisted laser desorption time-of-flight mass spectrometer Autoflex II TOF / TOF and the WCX magnetic bead kit used in the experiment were developed by Bruker Company of the United States. The data analysis software Clinprotools of Bruker Company was used to preprocess the data, and the processed data was processed by the genetic algorithm package genalg of the statistical analysis software R2.6.2.

[0038] 2. Technical route:

[0039] Serum collection: Collect venous blood in BD tubes to avoid...

Embodiment 2

[0076] Example 2 Establishment of Lung Cancer Protein Detection Model and Detection of Lung Cancer

[0077] 148 serum samples were selected, 94 of which were used for model training, 60 of the 94 samples were from lung cancer patients, and the other 34 were from healthy people; the remaining 54 were used for model testing, and 44 of the 54 samples were from Lung cancer patients, the other 10 cases were from healthy people; lung cancer patients were confirmed by postoperative pathology report. All serum samples were drawn in the morning on an empty stomach, and the serum was separated and stored in a -80 low-temperature refrigerator.

[0078] The mass spectrum model of lung cancer protein was established by using the lung cancer characteristic protein peaks screened in Example 1. The model is determined to use 7 input variables, namely: 4054m / z, 2273m / z, 4091m / z, 3955m / z, 3192m / z, 3884m / z, 5337m / z.

[0079] After the model was established, 94 samples were used for training, t...

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Abstract

The invention provides a mass spectrum model for detecting characteristic proteins of a lung cancer. The mass spectrum model comprises peaks with mass charge ratios of 4054 m / z, 2273 m / z, 4091 m / z, 3955 m / z, 3192 m / z, 3884 m / z and 5337 m / z, wherein in the model, proteins expressing the mass charge ratios of 4054 m / z, 2273 m / z, 4091 m / z, 3955 m / z, 3192 m / z, 3884 m / z and 5337 m / z are serum characteristic proteins of the lung cancer; and when the peaks with the mass charge ratios of 4054 m / z, 2273 m / z, 4091 m / z, 3955 m / z and 3192 m / z are expressed in a down regulation manner and the peaks with the mass charge ratios of 3884 m / z and 5337 m / z are expressed in an up regulation manner, a patient is indicated to be a lung cancer patient or a potential patient. The mass spectrum model can be used for early detection and screening for the lung cancer; the method is simple, easy to operate and high in accuracy; and by utilizing the mass spectrum model, a novel idea is provided for early detection and screening for the lung cancer.

Description

technical field [0001] The invention relates to the field of malignant tumor detection and is a brand-new non-invasive detection method for early discovery and detection of lung cancer in vitro. Background technique [0002] In recent years, lung cancer has gradually replaced liver cancer as the first cause of death of malignant tumors in my country, accounting for 22.7% of all malignant tumor deaths, and the incidence and mortality of lung cancer continue to rise. According to the data provided by the National Cancer Prevention and Control Office of the Ministry of Health, from 2000 to 2005, the number of lung cancer patients in China is estimated to have increased by 120,000. Among them, male lung cancer patients increased from 260,000 in 2000 to 330,000 in 2005, and female lung cancer patients increased from 120,000 to 170,000 during the same period. At present, the incidence of lung cancer in my country is increasing by 26.9% every year. If effective control measures ar...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/64G01N1/28
CPCG01N1/28G01N2800/12G01N2800/7028G01N33/6884G01N33/6848G01N21/64
Inventor 马庆伟赵艳梅胡晓慧任晶
Owner BIOYONG TECH
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