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

Method for establishing and verifying breast cancer prognosis evaluation model based on seven special genes

A technology for prognostic assessment and breast cancer, which is applied in the field of gene technology and biomedicine, can solve the problems of inaccuracy and lack of practicability, and achieve the effect of accurate prognosis

Pending Publication Date: 2020-08-21
辽宁省肿瘤医院
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Currently, several gene biomarkers have been used for prognostic evaluation of breast cancer patients, such as c-Met, Ki67, BRCA1 / 2, etc., but the evaluation results of single prognostic markers are as follows: usually not accurate enough, lacking in clinical practice Practicality

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
  • Method for establishing and verifying breast cancer prognosis evaluation model based on seven special genes
  • Method for establishing and verifying breast cancer prognosis evaluation model based on seven special genes
  • Method for establishing and verifying breast cancer prognosis evaluation model based on seven special genes

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0027] Example A method for establishing and verifying a breast cancer prognosis assessment model based on 7 special genes.

[0028] (1) Identify genes associated with survival in BRCA development.

[0029] In order to identify new specific biomarkers associated with the prognosis of BRCA patients, univariate analysis was performed on the samples of the test group, followed by multivariate analysis and stepwise regression to select 7 genes with significant prognosis of BRCA patients, see Table 1. And a patient risk assessment model based on these 7 genes was established, namely: risk score = (-0.15110) * LYVE1 +0.4676 * LILRB5 + (-0.2924) * CD209 + 0.1744 * AL049749.1 +0.1990 * AC123595.1+ ( -0.1735)*TMEM190 + (-0.1024)*TUBA3D.

[0030]

[0031] (2) Verify the performance of the risk scoring model in the training set.

[0032] Risk was assessed for each patient using this 7-gene signature model, and the test dataset and the entire dataset were divided into high-risk and ...

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 gene technology and biomedicine, in particular to a method of for establishing and verifying a breast cancer prognosis evaluation model based on seven special genes. The invention provides the seven genes related to survival in breast cancer development and the method of for establishing and verifying the breast cancer prognosis evaluation model based on the seven special genes. The seven genes related to survival in breast cancer development comprise LYVE1, CD209, TMEM190, TUBA3D, AL049749.1, AC123595.1 and LILRB5. The model can correctly evaluate breastcancer onset risks, accurately predict patient prognosis and guide clinical treatment. Through transcriptome data and clinical data analysis, it is found that prognosis is more accurate through jointprediction via the seven genes, and prognosis evaluation of a patient can lay a foundation for clinical transformation through a nematic diagram.

Description

technical field [0001] The invention relates to the fields of gene technology and biomedicine, in particular to a method for establishing and verifying a breast cancer prognosis evaluation model based on seven special genes. Background technique [0002] Breast cancer (BRCA) is one of the most common invasive cancers in women, accounting for 16% of all female cancers. Studies show that 12% of women worldwide suffer from the condition. The study estimated that there were approximately 20,120 new cases of invasive breast cancer and 40,920 breast cancer deaths among U.S. women in 2018, and breast cancer accounted for 30 percent of newly diagnosed cancers in women. We have seen efforts in breast cancer discovery in the past, but many barriers to treatment remain due to the heterogeneity of breast cancer disease at the molecular and genetic level (multiple subtypes). Mammography is the most commonly used breast cancer screening method, but problems such as overdiagnosis and ove...

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
IPC IPC(8): G16H50/30
CPCG16H50/30Y02A90/10
Inventor 王哲吴锋
Owner 辽宁省肿瘤医院
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