Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Genetic biomarkers for predicting or assisting in predicting risk of radiation pneumonitis after pulmonary radiation and application of genetic biomarkers

A biomarker, radiation pneumonitis technology, applied in the determination/examination of microorganisms, biochemical equipment and methods, DNA/RNA fragments, etc.

Active Publication Date: 2018-10-16
天佳吉瑞基因科技有限公司
View PDF3 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, an urgent problem to be solved in clinical radiotherapy of lung cancer is: how to predict in advance whether a patient will develop high-risk radiation pneumonitis of grade 2 or above

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
  • Genetic biomarkers for predicting or assisting in predicting risk of radiation pneumonitis after pulmonary radiation and application of genetic biomarkers
  • Genetic biomarkers for predicting or assisting in predicting risk of radiation pneumonitis after pulmonary radiation and application of genetic biomarkers
  • Genetic biomarkers for predicting or assisting in predicting risk of radiation pneumonitis after pulmonary radiation and application of genetic biomarkers

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0073] The collection of embodiment 1 clinical sample

[0074] The clinical blood samples were obtained from a hospital in Beijing. The above samples were all obtained with the informed consent of the individual. The 72 samples obtained were all from lung cancer patients before radiotherapy. Blood collection was performed in accordance with clinical routines. 1ml of venous blood was collected and stored in conventional EDTA anticoagulant tubes for no more than one week.

Embodiment 2

[0075] The identification of embodiment 2 sample genotype

[0076] Genomic DNA was extracted from the collected blood samples using a DNA extraction kit.

[0077] The 72 genomic DNAs extracted from the 72 samples in Example 1 were sequenced by the gene sequencing method, and the genotypes of the 31 single nucleotide polymorphism sites provided by the present invention were obtained.

Embodiment 3

[0078] Example 3 Calculation of Risk Score

[0079] The genotypes of the 31 sites detected in the sample in Example 2 were compared with the human reference genome version 37 (GRCh37). The original assignment of this site is 0; when the result of the alignment of this site is that one copy is consistent, the original assignment of this site is 1; when the result of the comparison of this site is that both copies are variant, the The original assignment is 2. Then the original assignment of each site is multiplied by the weight coefficient of the site (see the table below), and the resulting value is the calculated score of the site. The calculated scores of 31 sites of a sample are added, and the sum obtained is the risk value corresponding to the sample. When the sum value is greater than 0.5, it is judged that the patient will develop radiation pneumonitis of grade 2 or above. Multiplying the risk value by 100% is the risk probability of the patient suffering from grade 2...

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 relates to the field of lung cancer treatment, in particular to genetic biomarkers for predicting or assisting in predicting the risk of radiation pneumonitis after pulmonary radiation,and application of the genetic biomarkers. The genetic biomarkers comprise single-nucleotide polymorphic sites from RP2-01 to RP2-31; and the group of the genetic biomarkers fills in the absence of abiomarker which can be used for predicting the risk of radiation pneumonitis after the pulmonary radiation in patients in the prior art. The group of the single-nucleotide polymorphic sites is of different genotypes in different individuals; the different genotypes can affect the sensitivity of normal lung tissues to radiation; by detecting and evaluating the sites, a prognosis can be assisted; and the genetic biomarkers are of great significance to guide the monitoring and treatment of patients with a lung cancer after radiotherapy.

Description

technical field [0001] The invention relates to the field of lung cancer treatment, in particular to a genetic biomarker for predicting or assisting in predicting the risk of radiation pneumonitis after lung radiation and its application. Background technique [0002] Radiation therapy (radiotherapy) is widely used in the treatment of chest tumors such as lung cancer, breast cancer, esophageal cancer, mediastinal tumors, and thymus tumors. Among the organs and tissues of the chest, the lung is relatively sensitive to radiation. After the radiation dose exceeds the threshold of the biological effect of the lung, the lung tissue around the tumor will be damaged in varying degrees. At the same time, the normal lung tissue in the radiation field Exposure to radiation can also produce damage leading to an inflammatory response known as radiation-induced lung injury (RILI). Since the normal lung tissue is also irradiated during radiotherapy, it will inevitably be damaged, and the...

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): C12Q1/6883C12N15/11
CPCC12Q1/6883C12Q2600/156
Inventor 马娜曲宝林杜乐辉俞伟郑晖刘湘涛贾洪涛冯亚平王乾谢剑邦蒋才杨洁
Owner 天佳吉瑞基因科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com