Application of scoring system based on immune gene pair in prediction of immunotherapy effect of non-small cell lung cancer patient

A non-small cell cancer and gene pairing technology, applied in the field of biomedicine, can solve problems such as lack of validation, overfitting of small samples, and low clinical application value

Active Publication Date: 2021-07-27
CANCER INST & HOSPITAL CHINESE ACADEMY OF MEDICAL SCI
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are also studies that use gene expression characteristics to predict treatment-sensitive patients, but due to the limitation of the analysis platform, the clinical application value is not high
One of the reasons is that traditional research is based on gene expression levels, and these data need to be adequately standardized. However, due to technical bias and biological heterogeneity, there will always be problems such as small sample overfitting and lack of sufficient validation.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Application of scoring system based on immune gene pair in prediction of immunotherapy effect of non-small cell lung cancer patient
  • Application of scoring system based on immune gene pair in prediction of immunotherapy effect of non-small cell lung cancer patient
  • Application of scoring system based on immune gene pair in prediction of immunotherapy effect of non-small cell lung cancer patient

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] Example 1. Application of IRGPI in predicting the curative effect and prognosis of anti-PD-1 immunotherapy for non-small cell lung cancer 1. Research object

[0047] The information of the research subjects is shown in Table 1, which is divided into three cohorts, namely the GSE93157 cohort, the GSE136961 cohort and the CICAMS cohort.

[0048] Table 1. Research object information

[0049]

[0050]

[0051] Among them, the GSE93157 cohort mainly included patients with advanced thoracic malignancies who received anti-PD-1 antibody treatment at Hebron Valley Hospital and Barcelona University Hospital in Spain. Inclusion criteria are: 1) patients with non-small cell lung cancer with clinical diagnosis of limited advanced or locally advanced stage; 2) receiving immunotherapy for the first time, with no limit on the number of treatment lines; Lung cancer surgery is performed at university hospitals, and surgical tumor tissue samples can be collected. The exclusion cri...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an application of a scoring system based on an immunogene pair in prediction of immunotherapy curative effect and prognosis of a non-small cell lung cancer patient. The scoring system disclosed by the invention is carried out based on the following four immune related gene pairs: CCL2 and VEGFA genes, CDK1 and CXCL9 genes, HLA-DOB and LCK genes, and IL-12A and TBX21 genes. The IRGP index (IRGPI) calculated based on an immune gene pair scoring system constructed by the invention is significantly related to the progression-free lifetime of a non-small cell lung cancer patient receiving anti-PD-1 immunotherapy. Therefore, the four immune-related gene pairs and the scoring system constructed according to the four immune-related gene pairs can be used for performing curative effect and prognosis prediction on the non-small cell lung cancer patient receiving anti-PD-1 immunotherapy.

Description

technical field [0001] The invention relates to the application of predicting the effect of immunotherapy for patients with non-small cell lung cancer based on an immune gene pair scoring system in the field of biomedicine. Background technique [0002] Lung cancer is a malignant tumor with the highest morbidity and mortality in China and even in the world, and it poses great social harm. According to histopathological classification, non-small-cell lung cancer (NSCLC) accounts for about 85% and is the most common histological type. In recent years, immunotherapy targeting immune checkpoint programmed death-1 (PD-1) and its ligand (PD-1ligand, PD-L1) has become the most popular tumor treatment after molecular targeted therapy means to rapidly change the treatment mode of NSCLC. Recent clinical trials and real-world studies have shown that immunotherapy can bring long-term survival benefits to patients, but the benefit population is limited. Therefore, there is an urgent n...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6886G01N33/574G16B30/00
CPCC12Q1/6886G01N33/57423G01N33/57484G16B30/00C12Q2600/158C12Q2600/118C12Q2600/106G01N2800/52
Inventor 赫捷孙楠刘澄铭王思慧
Owner CANCER INST & HOSPITAL CHINESE ACADEMY OF MEDICAL SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap