Application of miRNA in predicting postoperative recurrence for early primary hepatocarcinoma patient and kit thereof

Abstract

The invention provides a kit for predicting postoperative liver cancer relapse of early primary liver cancer patients, which comprises a reverse transcription system, an amplification system and a primer and probe system, wherein the reverse transcription system consists of reverse transcriptase, a reverse transcription system buffer solution and an RNA enzyme inhibitor; the amplification system consists of a miRNA expressive quantitative determination mixture containing Taq enzymes; and the primer and probe system comprises an has-miR-34a stem-loop structure primer, an has-miR-34a amplification primer, a fluorescent marker probe, an RNU6B stem-loop structure primer, an RNU6B amplification primer and a fluorescent marker probe. The kit is accurate in detection and quantification, is simple, quick, convenient, economic and practical, can be further combined with other molecular indexes, provides a comprehensive molecular index kit for diagnosis, prognosis and prediction of early primary liver cancer relapse, and is convenient for clinic application.

Description

technical field [0001] The invention relates to a kit for predicting postoperative liver cancer recurrence in patients with early primary liver cancer, belonging to the field of biomedical diagnosis. Background technique [0002] Liver cancer is the second leading cause of cancer death in my country, and radical surgery is currently the main treatment. Some liver cancer patients have achieved long-term survival due to early detection, early diagnosis, and early comprehensive treatment. However, the 5-year metastasis and recurrence rate after radical resection of liver cancer is 61.5%, even for small liver cancer, it is 43.5%. The metastasis and recurrence of liver cancer has become the most important obstacle to further improve the treatment effect of liver cancer. If we can predict the metastasis and recurrence of patients with early liver cancer after surgery, and give timely intervention and treatment, it will help improve the survival rate of patients and have certain s...

AI Technical Summary

Problems solved by technology

At present, there are no sufficiently sensitive and specific predictors to predict postoperative metastasis and recurrence in patients with liver cancer. Although alpha-fetoprotein, tumor size, and presence or absence of capsule are related to metastasis and recurrence, the overall prediction accuracy is still very low.

Images