Individual cervical cancer prognosis evaluation method based on poly-gene expression characteristic spectrum

Abstract

The invention discloses an individual cervical cancer prognosis evaluation method based on a poly-gene expression characteristic spectrum. The method comprises the following steps: acquiring a cervical cancer prognosis risk gene table and a gene weight; establishing a prognosis evaluation model by using cervical cancer patient tumor tissue transcriptome and survival data; according to a gene expression spectrum of tumor tissue of a patient suffering from cervical cancer, calculating a risk score of the patient; according to the risk score of the patient, calculating a survival probability of the patient each year. By adopting the method disclosed by the invention, the survivals probability of the patient suffering from cervical cancer each year is highly accordant with an actual survival rate each year (linear relationship R2=0.988, a P value=5.04E-38). Tests show that the method has very high prediction accuracy, and is highly coincided with an actual survival state. Meanwhile, for each tumor patient, a unique survival probability of the patient can be drawn by using the method.

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 cervical cancer based on multi-gene expression profiles. Background technique [0002] Cervical cancer is a malignant tumor with high incidence among women in China and around the world. The morbidity and mortality of cervical cancer in developing countries are higher than those in developed countries worldwide, and the incidence of cervical cancer in developing countries is second only to breast cancer. Global Burden of Disease (GBD) data shows that in 2016, the number of people suffering from cervical cancer worldwide reached 1.94 million, of which 350,000 were in China. In 2016, the number of deaths of cervical cancer patients worldwide was 250,000, accounting for 0.45% of the total deaths. In 2016, the number of patients who died in China was 38,000, accounting for 0.40% of the total number of deaths. Sta...

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