Gene detection kit for prognosis risk evaluation of patients with liver cancer and application

A technology for genetic testing and risk assessment, applied in the determination/inspection of microorganisms, DNA/RNA fragments, recombinant DNA technology, etc.

Active Publication Date: 2018-10-02
MENGCHAO HEPATOBILIARY HOSPITAL OF FUJIAN MEDICAL UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, whether stable distinct prognostic subgroups do exist among HCC patients is unknown

Method used

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  • Gene detection kit for prognosis risk evaluation of patients with liver cancer and application
  • Gene detection kit for prognosis risk evaluation of patients with liver cancer and application
  • Gene detection kit for prognosis risk evaluation of patients with liver cancer and application

Examples

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Embodiment 1

[0072] Method steps:

[0073] Randomly select 113 patients with liver cancer, according to the above-mentioned kit steps, first follow the Tranzol up Plus RNAKit experimental standard procedure to extract RNA in liver cancer tissue, and measure the concentration of the extracted RNA. Then take 1ug of RNA reverse transcription into cDNA, after the reverse transcription is completed, add 180ul of RNase-free water to dilute 10 times. Finally, real-time fluorescent quantitative PCR was used to detect the expression of each gene in the model in patient tissues.

[0074] The specific method is as follows:

[0075] (a) Patient tissue samples were obtained from preoperative biopsy, intraoperative or postoperative samples of liver cancer patients.

[0076] (b) Take soybean-sized fresh tissue blocks or tissue blocks frozen in liquid nitrogen to avoid blood clots.

[0077] (c) Add 2-3 pieces of DEPC water-soaked and air-dried magnetic beads and 1ml of TRIZOL reagent, place in a pre-co...

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Abstract

The invention relates to a gene detection kit for liver cancer grouping and prognosis risk evaluation and a mathematical model, and application thereof in liver cancer grouping and prognosis risk evaluation. The gene detection kit is characterized in that a liver cancer grouping and liver cancer prognosis risk evaluation model is built based on a second generation sequence detection technology anda TCGA (The Cancer Genome Atlas) database, and the result shows that liver cancer has two obviously-different prognosis subgroups, and a genetic group for prognosis risk evaluation of the liver cancer. According to the gene detection kit, a 6 gene model composed of CA9, CXCL5, G6PD, MMP12, MYBL2 and SLC1A5 is found, and the prognosis index is defined as PI=exp(p') / exp(1+p'), wherein p'=zCA9*1.64+zCXCL5*1.22+zMMP12*1.52+1.93*zMYBL12+0.76*zSLC1A5+2.43*zG6PD-3.86. The model is capable of recognizing and determining different liver cancer prognosis subgroups and reflecting the prognosis risk ofpatients with liver cancer.

Description

(1) Technical field [0001] The invention relates to a gene detection kit, a mathematical model and an application thereof for assessing the prognosis risk of patients with liver cancer. (2) Background technology [0002] The vast majority (70%-90%) of primary liver cancer (referred to as liver cancer) is hepatocellular carcinoma. Liver cancer is one of the most common causes of death from malignant tumors worldwide. The incidence of hepatocellular carcinoma (HCC) ranks sixth among malignant tumors worldwide and the second leading cause of cancer-related death. According to the global cancer statistics in 2012, the number of deaths due to hepatocellular carcinoma is 662,000 every year, and the number of liver cancer patients and deaths in China alone accounts for about 50% of the global liver cancer incidence and death. Although local treatments such as surgery and transcatheter arterial chemoembolization (TACE) can treat liver cancer and improve the survival time and surviv...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6886C12N15/11
CPCC12Q1/6886C12Q2600/118C12Q2600/158
Inventor 刘小龙刘景丰李振丽柯坤蔡志雄陈耕
Owner MENGCHAO HEPATOBILIARY HOSPITAL OF FUJIAN MEDICAL UNIV
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