Mark used for prediction of prognosis of lung adenocarcinoma

Abstract

The invention discloses a mark used for prediction of prognosis of a lung adenocarcinoma. The mark is composed of OPN3, GALNT2, FAM83A AND KYUN, and a mathematical model for prediction of prognosis ofthe lung adenocarcinoma is established based on the four indexes of OPN3, GALNT2, FAM83A AND KYUN, wherein the expression formula of the mathematical model is P=0.0004A+0.0042B+0.0055C+0.0077D, in the formula, P is a risk coefficient, A is the expression quantity of OPN3, B is the expression quantity of GALANT2, C is the expression quantity of FAM83A, and D is the expression quantity of KYNU. When P is higher than 0.216, it is defined to have a high risk, and otherwise it is defined to have a low risk. The prediction for AUC of the prognosis of the lung adenocarcinoma reaches 0.71 through themodel, when cut-off is 0.216, the sensitiveness of predicting a three-year overall life cycle of a patient with the lung adenocarcinoma is 53.3% through the mode, specificity is 82.9%, the average overall life cycle of patient groups with high risks of the lung adenocarcinoma is about 46 months, and the average overall life cycle of patient groups with low risks is about 94 months.

Description

technical field [0001] The present invention relates to a marker for prognosis prediction of lung adenocarcinoma. Background technique [0002] Lung cancer is a disease that seriously endangers human health and life, and its morbidity and mortality have jumped to the top of cancer worldwide. In China, lung cancer is the malignant tumor with the fastest increasing morbidity and mortality, and has replaced liver cancer as the leading cause of death from malignant tumors. Adenocarcinoma is the most important histological type of lung cancer, accounting for more than 50% of all cases, and it is one of the focuses of lung cancer prevention and research. Like other malignant tumors, early detection, early diagnosis, and early treatment are the keys to reducing the mortality rate of lung adenocarcinoma. Lung adenocarcinomas mostly originate from smaller epithelial cells of bronchial mucosal secretions, and most adenocarcinomas are located around the lung tissue as spherical masse...

AI Technical Summary

Problems solved by technology

[0007] Although the above-mentioned patent discloses genes that can be used as markers of lung adenocarcinoma, the specification only records that the gene expression is differentially expressed in lung adenocarcinoma tissue, and it is not clear how to use these genes for lung adenocarcinoma diagnosis

Images