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A lung cancer risk prediction model based on biomarker profiles for pulmonary nodules in rural China

A technology of biomarkers and prediction models, applied in the field of lung cancer risk prediction models, can solve the problems of loss of radical surgery and difficult to achieve, and achieve the effect of simple expression level

Active Publication Date: 2017-12-19
ZHONGSHAN HOSPITAL FUDAN UNIV
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  • Abstract
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Problems solved by technology

However, among the vast rural population in my country, it is difficult to carry out large-scale CT screening in a short period of time. As a result, when lung cancer is diagnosed, it is already in the middle and advanced stages of lung cancer, and the chance of radical surgery has been lost.
There is no report about the lung cancer risk prediction model of the present invention based on the biomarker spectrum for Chinese rural population with pulmonary nodules

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  • A lung cancer risk prediction model based on biomarker profiles for pulmonary nodules in rural China
  • A lung cancer risk prediction model based on biomarker profiles for pulmonary nodules in rural China

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Embodiment 1

[0039] A lung cancer risk prediction model based on biomarker profiles for Chinese rural population with pulmonary nodules, consisting of biomarkers and their enzyme-labeled antibodies, carbonate buffer with a pH value of 9.6, and phosphate buffer with a pH value of 7.4 solution, serum protein diluent, stop solution, tetramethylbenzidine substrate solution, normal human serum and positive control serum;

[0040] The biomarkers include gastrin releasing propeptide, carcinoembryonic antigen, fragment of cytokeratin 19 and squamous cell carcinoma antigen.

[0041] The carbonate buffer solution with a pH value of 9.6 was obtained by adding 1.59 g of sodium carbonate and 2.93 g of sodium bicarbonate to 1 L of distilled water. The phosphate buffer solution with a pH value of 7.4 is that 0.2 gram of potassium dihydrogen phosphate, 2.9 gram of disodium hydrogen phosphate dodecahydrate, 8.0 gram of sodium chloride, 0.2 gram of potassium chloride, and 0.5 mL of Tween-20 are added to 1L...

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Abstract

The invention discloses a lung cancer risk prediction model for Chinese rural population with pulmonary nodules based on biomarker spectrum, which consists of biomarkers and their enzyme-labeled antibodies, a carbonate buffer solution with a pH value of 9.6, and a pH value of 7.4 Phosphate buffer solution, serum protein dilution, stop solution, tetramethylbenzidine substrate solution, normal human serum and positive control serum; the biomarkers include gastrin releasing propeptide, carcinoembryonic antigen 4 biomarkers, including fragments of cytokeratin 19 and squamous cell carcinoma antigen, and combined with other clinical indicators. The present invention can assist in screening for lung cancer.

Description

technical field [0001] The invention relates to the field of biotechnology, in particular to a lung cancer risk prediction model for Chinese rural population with pulmonary nodules based on biomarker spectrum. Background technique [0002] Lung cancer is the most common and deadly cancer worldwide. The morbidity and mortality of lung cancer rank first among all malignant tumors in my country. According to the statistics of The International Agency for Research on Cancer (IARC) of the World Health Organization, the incidence of lung cancer in my country in 2008 was 35 per 100,000 people, and the agency estimated that by 2025, there will be 1 million new cases of lung cancer in my country every year . According to the 2010 Health Statistical Yearbook of the Ministry of Health, as of 2009, the national lung cancer mortality rate was 30.83 / 100,000 people, which was higher than the second highest mortality rate of liver cancer by more than 4 / 100,000 people. Although the 5-year ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N33/574G01N21/78
CPCG01N21/78G01N33/57423
Inventor 白春学杨达伟周建
Owner ZHONGSHAN HOSPITAL FUDAN UNIV
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