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A group of liver cancer prognostic markers and their application

A liver cancer prognosis and liver cancer technology, applied in the field of biomedicine, can solve the problems of lack of biomarkers for liver cancer patients, lack of systematic research, and limitations of early radiofrequency treatment in treatment methods

Active Publication Date: 2022-03-11
QINGDAO MUNICIPAL HOSPITAL +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is currently a lack of systematic studies on G2 / M checkpoint-related genes in liver cancer
[0005] In view of the lack of sufficient biomarkers in the existing technology to predict the prognosis of liver cancer patients, especially for patients with advanced liver cancer, traditional treatment methods such as liver transplantation, surgical liver resection, and early radiofrequency therapy have been limited

Method used

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  • A group of liver cancer prognostic markers and their application
  • A group of liver cancer prognostic markers and their application
  • A group of liver cancer prognostic markers and their application

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035]TCGA database: https: / / portal.gdc.cancer.gov / , download clinical data of liver cancer patients and RNA-Seq transcriptome data of liver cancer tissues and adjacent normal tissues. In the TCGA database, 373 liver cancer tissues and 50 adjacent normal tissues were subjected to RNA-Seq. Among them, a total of 369 patients with liver cancer had both clinical data and RNA-Seq data. Since the expression profile data of mRNA have been standardized by TCGA, these data are not further standardized. The pathological parameters of liver cancer patients are shown in Table 1:

[0036] Table 1.

[0037]

[0038]

Embodiment 2

[0040] Using GSEA functional enrichment analysis, with |NES|>1 and NOM p-val figure 2 As shown, the G2M checkpoint gene set |NES|=2.02NOM p-val=0.005 is a gene set with a large difference between liver cancer tissue and adjacent normal tissue. There are 195 genes in this gene set, which will be further studied analyze.

Embodiment 3

[0042] Using univariate COX survival analysis, the genes that affect the prognosis of liver cancer patients in the G2M checkpoint gene set were screened out with P value1.5 and P value1.5 and P value<0.05 were screened out, the results are shown in Table 2:

[0043] Table 2.

[0044]

[0045]

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Abstract

The present invention discloses a set of genes for predicting the prognosis of liver cancer patients and liver cancer targeted therapy. Due to the lack of sufficient biomarkers in the prior art to predict the prognosis of liver cancer patients, especially for patients with advanced liver cancer, traditional The treatment methods such as liver transplantation, surgical hepatectomy, and early radiofrequency treatment are limited. Therefore, the exploration of new biomarkers is very important for the treatment target of liver cancer. The present invention further screened out the G2M test by COX survival analysis The point genes are concentrated on the genes related to the prognosis of liver cancer, and a model that affects the prognosis of liver cancer patients is constructed through multivariate COX survival analysis. The K-M plot curve, ROC curve, and the survival time and survival status of the patients all verify the accuracy and reliability of the model. Therefore, this prediction model has important significance for the prognosis and targeted therapy of patients with liver cancer.

Description

[0001] field of invention [0002] The invention belongs to the field of biomedicine, relates to a liver cancer prognostic marker and its application, and specifically relates to a group of mRNAs related to a new cell cycle G2M checkpoint, and the gene set can be used as a liver cancer prognostic marker. Background technique [0003] Liver cancer is one of the deadliest cancers in the world. According to statistics from 2003 to 2018, the mortality rate of liver cancer among all cancers has risen sharply. The therapeutic effect of HCC largely depends on the time interval from diagnosis to treatment, especially for patients with early-stage HCC. Although liver transplantation, surgical hepatectomy, early radiofrequency therapy and other treatment methods have been improved, however, more than 70% of liver cancer patients are diagnosed at an advanced stage, which limits the application of traditional therapies. [0004] Genome instability is an important hallmark of cancer and ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/30G16H50/50G16H50/70C12Q1/6886
CPCG16H50/30G16H50/50G16H50/70C12Q1/6886C12Q2600/118
Inventor 朱文静赵洪斌初晓张韧田华
Owner QINGDAO MUNICIPAL HOSPITAL
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