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Protein fingerprint mass spectrum model for lung cancer early diagnosis

A technology of early diagnosis and mass spectrometry model, applied in the field of medical diagnosis, can solve the problem that there is no good diagnostic model for early diagnosis of lung cancer

Inactive Publication Date: 2011-09-28
SHANGHAI CLUSTER BIOTECH
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0004] In recent years, this technology has been widely used in differentially expressed proteomes, protein interactions, and disease detection. However, there is no good diagnostic model for early diagnosis of lung cancer. The present invention uses this technology to establish this method from the perspective of serum diagnostic model

Method used

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  • Protein fingerprint mass spectrum model for lung cancer early diagnosis
  • Protein fingerprint mass spectrum model for lung cancer early diagnosis

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Experimental program
Comparison scheme
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Embodiment Construction

[0024] 1. Materials

[0025] 1.1 Detection of serum

[0026] Take 5ml of venous blood from the subjects, put it in a 4-degree refrigerator for 2 hours, and then centrifuge it (4000rpm, 5min). Take the serum and store it in a low-temperature refrigerator (minus 80 degrees) or liquid nitrogen for future use.

[0027] 1.2 Required main reagents and instruments

[0028] Sodium acetate, acetonitrile, trifluoroacetic acid and sinapinic acid (SPA) were purchased from Shanghai Chemical Reagent Company. CM10 protein chip and protein chip reader (PBS type II) were purchased from Bio-Rad, USA.

[0029] 2. Method

[0030] 2.1 Equilibrate the chip: Add 200ul of 50mmol / L sodium acetate (NaAc) solution with pH 4.0 into the sample well of the chip, and balance the chip twice, 5min each time.

[0031] 2.2 Serum sample dilution

[0032] Take 6ul serum sample, add 12ul 9mmol / L urea, shake for 30min, add 222ul 50mmol / L NaAc solution with pH 3.0, mix and dilute.

[0033] 2.3. Chip loading

...

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Abstract

The invention relates to the technical field of medical diagnosis, in particular to a protein fingerprint mass spectrum model for lung cancer early diagnosis. In the model, a protein chip flying time mass spectrum system is used for detecting peripheral serum samples of a normal man and an early lung cancer patient so as to find out a specificity protein peak greatly different from the protein peak of the lung cancer patient; and according to a mass to charge ratio (m / z) of the protein peaks, a protein fingerprint spectrum model of a decision tree by adopting a decision tree algorithm is established. The corresponding m / z ratio of the protein in the serum of the detected man is analyzed by the model so that the lung cancer diagnosis can be realized initially. The forecast accuracy is 71 percent.

Description

technical field [0001] The invention belongs to the technical field of medical diagnosis, is a model that can be used to diagnose early lung cancer, and provides an experimental basis for the early diagnosis of lung cancer. Background technique [0002] Lung cancer occurs in the epithelium of the bronchial mucosa, also known as bronchial carcinoma. In the past 50 years, many countries have reported that the incidence of lung cancer has increased significantly. Among male cancer patients, lung cancer has ranked first, and the incidence rate of women has also increased rapidly, accounting for the second or third of the common malignant tumors in women. Lung cancer originates from the bronchial mucosal epithelium, and the cancer can grow into the bronchial cavity or (and) adjacent lung tissue, and can also spread through lymphatic, hematogenous or transbronchial metastasis. The growth rate and metastasis of cancer are related to biological characteristics such as histological ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/68G01N33/574
Inventor 曾华宗
Owner SHANGHAI CLUSTER BIOTECH
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