Kit for predicting colorectal cancer liver metastases and use method

Abstract

The invention relates to a kit for predicting colorectal cancer liver metastases and a use method. The kit includes a DNA database building kit, the DNA database building kit comprises probes of a plurality of genes, and the plurality of genes include: high risk genes: KRAS, BRAF, MLH1, NRAS, MSH2, PMS2, UGT1A1, MSH6 AKT1, PIK3CA, PTEN, SMAD4, TP53, NM23, TIAM1, MTS1; and low risk genes: PRKDC, RAD50, STAG2, XRCC5, XRCC6, FANCA, ATR, MUTYH, EMSY, ERCC4, RAD51, PARP1, XRCC1. The kit provided by the invention performs related mutation detection on colorectal cancer liver metastases related genes in peripheral blood, and combines specific scoring mechanism to rapidly and conveniently judge and predict colorectal cancer liver metastases.

Description

technical field [0001] The invention relates to a kit and a use method for predicting liver metastasis of colorectal cancer. Background technique [0002] Colorectal cancer, also called colorectal cancer, refers to malignant tumors originating from the colon and rectal mucosa. Pathologically, it refers to colorectal epithelial tumors that penetrate the mucous membrane layer and infiltrate into the submucosa. It is the most common digestive tract tumor One of them is a serious threat to human health. Colorectal cancer is a malignant tumor with the third highest incidence rate and the fourth highest mortality rate in the world, with 1-2 million new cases and 600,000 deaths per year. The incidence and mortality of colorectal cancer in my country are both on the rise. According to the 2014 China Cancer Registration Annual Report, the incidence (16.14 / 100,000) and mortality (7.55 / 100,000) of colorectal cancer rank first among all malignant tumors. Tumor ranks fifth, and most pat...

AI Technical Summary

Problems solved by technology

Imaging indicators are not objective enough, and the identification of some small tumor lesions is human-intensive, requiring doctors with rich clinical experience to identify them; liver metastases of tumors identified through imaging need to grow to a certain extent, and most of them are already in the late stage of liver metastases when they are diagnosed , miss the best treatment period, and delay precious treatment time; some tests are expensive, and it is not easy to perform repeated operations for long-term follow-up; existing gene tests are mainly aimed at adjuvant treatment and prognosis judgment, and there is no systematic standard for the prediction of liver metastases

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