Characteristic miRNA expression profile combination and early prediction method for renal clear cell carcinoma

Abstract

The invention discloses a characteristic miRNA expression profile combination and an early prediction method for renal clear cell carcinoma. The miRNA comprises hsa-let-7g, hsa-mir-10a, hsa-mir-10b, hsa-mir-125a, hsa-mir-21, hsa-mir-30b, hsa-mir-30c-1, hsa-mir-30c-2 and hsa-mir-532, and the nucleotide probe sequence is shown as SEQ ID NO. 1-9. The evaluation of the early risk of renal clear cell carcinoma based on the miRNA expression profile combination characteristics has high accuracy and accuracy (the area AUC under the ROC curve = 0.992). The early risk of renal clear cell carcinoma can be calculated by a support vector machine model only by acquiring the relative expression quantity of the nine miRNAs.

Description

technical field [0001] The invention belongs to the fields of biotechnology and medicine, and in particular relates to a combination of characteristic miRNA expression profiles and an early prediction method for renal clear cell carcinoma. Background technique [0002] Kidney renal clear cell carcinoma accounts for about 70%-80% of renal cell carcinomas. Clear cell renal cell carcinoma is often asymptomatic in the early stage, or only has systemic symptoms such as fever and fatigue, so early diagnosis is difficult. Global Burden of Disease (GBD) data shows that in 2017, the number of people suffering from kidney cancer worldwide exceeded 2.1 million, of which about 270,000 were in China. In 2017, the number of deaths from kidney cancer worldwide was about 140,000, accounting for 0.25% of the total number of deaths. The number of patients who died in China in 2017 was about 17,000, accounting for 0.16% of the total number of deaths. The statistical results show that from 1...

AI Technical Summary

Problems solved by technology

Due to the overlapping expression distribution of individual miRNAs in tumors and n

Images