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Application of NECTIN family and NECTIN-like molecules in low-level glioma prognosis model

A glioma, low-level technology, applied in the field of bioinformatics and biomedicine, can solve the problem of not fully distinguishing the prognosis of patients

Pending Publication Date: 2022-02-01
THE FIRST HOSPITAL OF CHINA MEDICIAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, LGG is a disease with a complex genetic background of variation, and these biomarkers do not adequately differentiate patient outcomes

Method used

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  • Application of NECTIN family and NECTIN-like molecules in low-level glioma prognosis model
  • Application of NECTIN family and NECTIN-like molecules in low-level glioma prognosis model
  • Application of NECTIN family and NECTIN-like molecules in low-level glioma prognosis model

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] Example 1 Model construction method and effect verification.

[0054] 1. Materials and methods.

[0055] 1.1 Oncomine database:

[0056] Based on the Oncomine database (AnnArbon, MI, USA) (http: / / www.oncomine.org / ), the expression levels of each NECTIN family member and necls in different types of cancer were analyzed. Oncomine provides 715 datasets, microarray information and some online functions. The p-value of the NECTIN family gene difference between cancer samples and normal controls was obtained by t test. The fold change threshold is set to 2, and the p-value is set to 0.05.

[0057] 1.2 Expression data of LGG patients:

[0058] The data of LGG patients in the present invention come from the Tumor Genome Atlas (TCGA) LGG cohort (downloaded from http: / / xena.ucsc.edu / ), China Glioma Genome Atlas (CGGA; http: / / www.cgga.org .cn) database and REMBRANDT (https: / / caintegrator.nci.nih.gov / rembrandt / ) database. The TCGA LGG cohort contained 463 tumor samples, the C...

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Abstract

The invention belongs to the technical field of biological information and biomedicine, and particularly relates to application of NECTIN family and NECTIN-like molecules in a low-grade glioma prognosis model. By evaluating expression profiles in the three independent databases, four prognosis related genes CADM2, NECTIN1, NECTIN2 and PVR between the nectin and the necls are determined, and the genes have huge potential as LGG treatment targets and prognosis biomarkers. In addition, the invention also discusses a potential pathway participating in new four-gene risk scoring, and finds that the risk scoring model plays an important role in the immune process of LGG. The invention provides wide nectin and Necls analysis, provides a four-gene model for prognosis prediction of the LGG, provides a thought for further researching CADM2, NECTIN1 / 2 and PVR as potential clinical and immune targets of the LGG, and has wide clinical application panorama.

Description

technical field [0001] The invention belongs to the technical field of biological information and biomedicine, and specifically relates to the application of NECTIN family and NECTIN-like molecules in low-grade glioma prognosis models. Background technique [0002] Nectins and nectin-like molecules (Nectins) are cell adhesion molecules involved in cell-cell adhesion and important cellular activities. Many studies have shown that Nectin and Necls play an important role in tumorigenesis and tumor immune monitoring. However, the specific role of Nectin and Necls in low-grade glioma has not been clarified. [0003] Low-grade glioma (LGG) is a common primary malignant tumor of the central nervous system with high heterogeneity in biological behavior. Although treatment involves maximal surgical resection and postoperative radiotherapy and chemotherapy, the majority of LGG cases eventually progress to treatment-resistant, highly aggressive gliomas with no significantly improved ...

Claims

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Application Information

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IPC IPC(8): G16H50/30G16B20/40G16B50/00
CPCG16H50/30G16B20/40G16B50/00
Inventor 吴安华韩云鹤邹存义程文
Owner THE FIRST HOSPITAL OF CHINA MEDICIAL UNIV
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