Analysis method of key proteins and clinical relations of liver cancer

Abstract

The invention discloses a method for analyzing the relationship between liver cancer key proteins and clinical conditions. The function of the finally screened liver cancer key protein polypeptides is analyzed through bioinformatics analysis; Sensitivity, specificity, positive predictive value and negative predictive value, as well as the correlation analysis with different pathological types, different course of disease, primary and metastasis, and curative effect of liver cancer, and put forward their role in the prevention, early diagnosis, disease course prediction and prognosis judgment of liver cancer. Feasibility of clinical application; liver cancer is the first cancer killer in Guangxi. It is of great significance to find effective tumor markers for the study of carcinogenesis mechanism, early diagnosis and prognosis of the disease.

Description

technical field [0001] The invention relates to the fields of gene transcriptomics and proteomics, in particular to a method for analyzing the relationship between key liver cancer proteins and clinical trials. Background technique [0002] In the 20th century, primary liver cancer has risen to become the second cancer killer in my country, second only to lung cancer in urban areas and gastric cancer in rural areas [1] . At present, about 35,000 people in Guangxi die of malignant tumors every year, among which, about 12,000 people die of liver cancer. It can be seen that liver cancer is the first cancer killer in Guangxi. In Guangxi, the hazards of liver cancer are very uneven. The counties and cities with high mortality rate of liver cancer are mainly concentrated in the southwestern part of Guangxi. The three counties of Fusui, Long'an and Wuming around Nanning have the highest incidence. The incidence density of liver cancer in this local area reaches 50-60 / 100,000. In...

AI Technical Summary

Problems solved by technology

The high sensitivity of mass spectrometry can help people discover low-abundance proteins and peptides in biological samples in the stage of marker discovery. The dynamic range greatly affects the quantitative detection of low-abundance proteins and peptides in biological fluids by mass spectrometry

Although researchers have tried to use a variety of methods, including chromatographic separation as much as possible, removal of high-abundance proteins, etc., the precision and accuracy of the results are still far from meeting the requirements of analysis, until mass spectrometry multiple reaction monitoring (multiple reaction monitoring) The emergence of monitoring, MRM) technology