Lung adenocarcinoma individuation prognosis evaluation method based on polygene expression characteristic spectrum

Abstract

The invention discloses a lung adenocarcinoma individuation prognosis evaluation method based on a polygene expression characteristic spectrum. The method comprises the following steps that a lung adenocarcinoma prognosis risk gene list and weight are acquired; a prognosis evaluation model is established by using a tumor tissue transcriptome and survival data of a patient with lung adenocarcinoma;a risk score of the patient is calculated according to a gene expression spectrum of the tumor tissue of the patient with lung adenocarcinoma; the annual survival probability of the patient is calculated according to the risk score of the patient. According to the method, the annual survival probability of the patient with lung adenocarcinoma and the actual annual survival probability are highlyidentical, the linear correlation R2 is equal to 0.994, and the P value is equal to 2.86E-43. It is proved that the method has high prediction accuracy, and the state is highly identical to the actualsurvival state. Meanwhile, for each patient with lung adenocarcinoma, the method can provide a specific survival probability curve of the patient.

Description

technical field [0001] The invention belongs to the fields of biotechnology and medicine, and in particular relates to a personalized prognosis evaluation method for lung adenocarcinoma based on multi-gene expression profiles. Background technique [0002] Lung adenocarcinoma accounts for about 40% of all lung cancer patients. Lung cancer is the most common cancer worldwide and the leading cause of cancer death in men. The incidence of lung cancer in the female population is second only to breast cancer. Global Burden of Disease (GBD) data shows that in 2016, the number of people suffering from trachea, bronchus or lung cancer in the world exceeded 2.8 million, and the number of patients in China was as high as 1 million. In 2016, the number of deaths from the above-mentioned cancers worldwide was 1.7 million, accounting for 3.12% of the total deaths. In 2016, the number of patients who died in China was 590,000, accounting for 6.11% of the total number of deaths. Statis...

AI Technical Summary

Problems solved by technology

However, most reports only use single or several genes, can only classify a group, and can only qualitatively divide the individual survival period (such as two indicators of good prognosis and poor prognosis)

Images