A personalized prognosis assessment method for clear cell renal cell carcinoma

Abstract

The invention discloses a method for evaluating the individualized prognosis of clear cell renal cell carcinoma based on multi-gene expression profiles, comprising the following steps: obtaining a list of prognostic risk genes and gene weights for clear cell renal cell carcinoma; using transcriptomes of tumor tissue of clear cell renal cell carcinoma Construct a prognostic assessment model with survival data; calculate the risk score of the patient based on the gene expression profile of the tumor tissue of patients with clear cell renal cell carcinoma; calculate the annual survival probability of the patient based on the risk score of the patient. The annual survival probability of patients with renal clear cell carcinoma obtained by the method of the present invention is highly consistent with the actual annual survival ratio (linear correlation R 2 = 0.999, P-value = 8.21E-74). It is confirmed that the method has high prediction accuracy, which is highly consistent with the actual survival status. At the same time, for each tumor patient, the present invention can provide the 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 renal clear cell carcinoma based on multi-gene expression profile. Background technique [0002] Clear cell renal cell carcinoma is a type of renal cell carcinoma, accounting for 60% to 70% of renal cancers. Clear cell renal cell carcinoma of unknown etiology mainly affects men aged 60-70 years. Patients with clear cell renal cell carcinoma usually have a good prognosis. Global Burden of Disease (GBD) data shows that in 2016, the number of people suffering from kidney cancer worldwide reached 1.3 million, of which 166,000 were in China. In 2016, the global death toll of kidney cancer patients was 132,000, accounting for 0.24% of the total death toll. In 2016, the number of patients who died in China was 16,000, accounting for 0.17% of the total number of deaths. Statistics show that from 1990 to 2016, the pr...

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)

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