Model for predicting curative effect of hepatocellular carcinoma immunotherapy and construction method thereof

A technology for immunotherapy and hepatocellular carcinoma, applied in the field of clinical medicine

Active Publication Date: 2021-04-06
ZHEJIANG UNIV
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AI Technical Summary

Problems solved by technology

However, there are currently no well-established models that can reliably predict patient response and prognosis to HCC immunotherapy

Method used

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  • Model for predicting curative effect of hepatocellular carcinoma immunotherapy and construction method thereof
  • Model for predicting curative effect of hepatocellular carcinoma immunotherapy and construction method thereof
  • Model for predicting curative effect of hepatocellular carcinoma immunotherapy and construction method thereof

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Experimental program
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Effect test

Embodiment 2

[0047] Tissue Microarray (TMA) Structural Five-Gene Model Evaluation

[0048] To evaluate the prognostic power of the 5-gene model, we performed immunohistochemistry (IHC) using a tissue microarray (Shanghai Xinchao Biotechnology Co., Ltd.) of cancer tissues from 90 HCC patients and measured integrated densitometric analysis. The primary antibodies used are listed in Table 1. IHC scores were independently assessed by three senior pathologists without knowledge of patient characteristics. IHC score calculation: including IHC score=[0.307×protein LDHA expression level]+[0.268×proteinPPAT expression level+[0.455×protein BFSP1 expression level]+[0.234×protein NROB1 expression level]+[0.109×protein PFKFB4 expression level] . Kaplan-Meier log-rank analysis was used to evaluate the difference in survival between the high and low IHC score groups.

[0049] Table 1. Antibody Information Sheet

[0050]

[0051] The protein expression levels of five genes LDHA, PPAT, BFSP1, NR0B1 ...

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Abstract

The invention belongs to the field of clinical medicine, and relates to a model for predicting the curative effect of hepatocellular carcinoma immunotherapy based on 5 genes and a construction method thereof. The model for predicting the immunotherapy effect of hepatocellular carcinoma comprises five genes, namely lactic dehydrogenase A (LDHA), phosphatide phosphoramidate heterogeneous enzyme (PPAT), a bead fiber structural protein 1 (BFSP1), a nuclear receptor sub-fiber 0 group B member 1 (NR0B1) and 6-phosphatide-2-kinase / fructolase-2,6-diphosphatase 4 (PFPFB4). The invention also provides a construction method of the model for predicting the curative effect of hepatocellular carcinoma immunotherapy based on the 5 genes. Herein, the new immune microenvironment model based on 5 genes is established, so that the effect of a patient on HCC immunotherapy can be effectively predicted, and the 5 genes can be used as potential biomarkers to be clinically applied.

Description

technical field [0001] The invention belongs to the field of clinical medicine, and relates to a 5-gene-based model for predicting the therapeutic effect of hepatocellular carcinoma immunotherapy and a construction method thereof. Background technique [0002] Hepatocellular carcinoma (HCC) is a highly malignant cancer and the third leading cause of cancer-related death worldwide. The 5-year survival and overall survival were less than 12%. Most HCC patients develop from liver cirrhosis, chronic hepatitis virus infection, alcohol-related liver disease, nonalcoholic fatty liver disease, and drug-induced hepatitis. Since HCC is usually not diagnosed early, treatment is less effective. Therefore, the development of new diagnostic molecular markers is very important to improve the prognosis of patients. [0003] The immune microenvironment plays a key role in tumorigenesis and is associated with tumor progression and therapeutic efficacy. Systemic immunotherapy has shown eff...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B40/00G16B25/00G16H50/70G16H50/30G16H10/20G01N33/574
CPCG16B40/00G16B25/00G16H50/70G16H50/30G16H10/20G01N33/57438
Inventor 朱海红顾心雨陈智管俊
Owner ZHEJIANG UNIV
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