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Gene model for judging prognosis of hepatocellular carcinoma patient, construction method and application

A hepatocellular carcinoma and gene technology, applied in the field of biomedicine, can solve the problems of early intervention and early treatment of patients with hepatocellular carcinoma, risk stratification of patients with inability to hepatocellular carcinoma, lack of markers for predicting patients with hepatocellular carcinoma, etc. Effects of overtreatment

Active Publication Date: 2021-10-22
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

One of the main reasons is the lack of effective markers for predicting the prognosis of patients with HCC, so that the risk stratification of patients with HCC cannot be carried out, and clinicians cannot be guided to early intervention and early treatment of patients with high-risk HCC.

Method used

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  • Gene model for judging prognosis of hepatocellular carcinoma patient, construction method and application
  • Gene model for judging prognosis of hepatocellular carcinoma patient, construction method and application
  • Gene model for judging prognosis of hepatocellular carcinoma patient, construction method and application

Examples

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Embodiment 1

[0033] Example 1: Construction of a gene model for judging the prognosis of patients with hepatocellular carcinoma

[0034] The gene model for judging the prognosis of patients with hepatocellular carcinoma of the present invention is constructed and obtained through the following steps:

[0035] (1), first download the transcriptome data of 371 hepatocellular carcinoma tissue samples and 50 normal liver tissue samples and the clinical information of the corresponding patients from the TCGA database (https: / / portal.gdc.cancer.gov / ) (including Gender, overall survival time, survival status, etc.), compare the data of hepatocellular carcinoma tissue samples in the TCGA database with the differential genes in normal liver tissue samples, set P-valuefigure 1 ).

[0036] (2), then use the LASSO method for analysis, and use 1000 Cox LASSO regression iterations and 10-fold cross-validation based on the R language glmnet package to screen out 18 statistically significant candidate gen...

Embodiment 2

[0040] Example 2: Application of Hepatocellular Carcinoma Prognosis Prediction Risk Score Model in Evaluating the Prognosis of Hepatocellular Carcinoma

[0041] The transcriptome data of 371 hepatocellular carcinoma tissue samples in the TCGA database were used as the training set, 247 hepatocellular carcinoma tissues in the GEO database (https: / / www.ncbi.nlm.nih.gov / geo / ) GSE140520 and the ICGC database (https http: / / daco.icgc.org / ) data of 203 cases of hepatocellular carcinoma tissues were used as the verification set, and the score of each hepatocellular carcinoma patient in the training set was calculated according to the risk scoring model, and the median score (0.044954) was taken as The cut-off value divided them into high-risk score group and low-risk score group, and drew the relationship between risk score and survival period, CLIP stage and TMN stage of patients in the two groups ( Figure 4-8 ), to verify the effect of the risk score model for predicting the progno...

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Abstract

The invention discloses a gene model for judging prognosis of hepatocellular carcinoma as well as a construction method and application of the gene model. The method comprises the following steps: comparing the data of a hepatocellular carcinoma patient sample with transcriptome data of a normal patient sample to obtain a gene with differential expression, integrating the gene with an extracellular matrix gene set, and shrinking through an LASSO-COX regression model to obtain a model with 18 genes. The model can be used for evaluating the prognosis of hepatocellular carcinoma patients and distinguishing and selecting hepatocellular carcinoma patients with poor prognosis, so that clinicians are guided to provide a more positive treatment scheme, and meanwhile, the hepatocellular carcinoma patients with low risk can be prevented from being over-treated. The gene model is beneficial to construction of a tissue chip based on extracellular matrix genes, and can be used for rapid prognosis evaluation of a hepatocellular carcinoma postoperative patient so as to realize clinical transformation.

Description

technical field [0001] The invention belongs to the technical field of biomedicine, and in particular relates to a gene model for judging the prognosis of patients with hepatocellular carcinoma and its application. Background technique [0002] Liver cancer is one of the ten most common malignant tumors worldwide. There are about 500,000 new cases worldwide each year, of which hepatocellular carcinoma accounts for 85%. The 5-year survival rate of primary liver cancer (hepatic cell carcinoma, HCC) has improved with the promotion of tumor markers and imaging examinations, the level of surgical operations, and the development of various new treatment methods such as intra-arterial chemoembolization. But overall, the prognosis of HCC remains unsatisfactory. One of the main reasons is the lack of effective markers for predicting the prognosis of HCC patients, which makes it impossible to stratify the risk of HCC patients and guide clinicians to conduct early intervention and ea...

Claims

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Application Information

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IPC IPC(8): G16B40/00G16H50/20C12Q1/6886
CPCG16B40/00G16H50/20C12Q1/6886C12Q2600/118C12Q2600/158G16B25/10G16H50/30G16B20/00G16B20/10G16B40/20
Inventor 徐俊杰蔡秀军茅琪江潘浩奇梁霄
Owner ZHEJIANG UNIV
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