Application of 4-LncRNA molecular tags in prognosis evaluation of lung cancer

A technology for lung cancer and prognosis, applied in lung cancer patients and in the evaluation of tumor prognosis, the field of 4-LncRNA molecular labeling, can solve the problems of unsystematic research and reporting of LncRNA expression, and achieve shortened overall survival time and disease-free survival The effect of shortening the time and improving the accuracy of prognostic assessment

Active Publication Date: 2020-05-12
SUN YAT SEN UNIV CANCER CENT
View PDF3 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Although some studies have reported the role and significance of a small number of LncRNAs in non-small cell lung c

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 4-LncRNA molecular tags in prognosis evaluation of lung cancer
  • Application of 4-LncRNA molecular tags in prognosis evaluation of lung cancer
  • Application of 4-LncRNA molecular tags in prognosis evaluation of lung cancer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] The inventor used the LncRNA chip to analyze the LncRNA expression profiles in the training group 194 pairs of lung cancer tissues and paired para-cancerous tissues. Through SAM analysis, it was found that there were 305 LncRNAs with a differential expression of more than 1.25 times in the lung cancer and para-cancerous tissues, of which 138 LncRNAs Up-regulated in lung cancer tissues, 167 down-regulated in lung cancer tissues. Univariate COX regression analysis of the relationship between 305 lncRNAs and the prognosis of lung cancer patients in the training group showed that 15 lncRNAs were closely related to the survival of lung cancer patients. Screen LncRNA molecular signatures among these 15 LncRNAs. In order to find the molecular signatures that predict the best prognosis, one LncRNA is gradually subtracted from the 15 prognostic-related LncRNAs until the existing molecular signatures have the best prognosis evaluation effect. . Through this method, the molecular...

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 application of 4-LncRNA molecular tags in prognosis evaluation of lung cancer. Overall survival time and disease-free survival time of lung cancer patients are evaluated through the 4-LncRNA molecular tags, and the evaluation finds that the overall survival time and disease-free survival time of patients in a high-risk group are shortened significantly when the patients inthe high-risk group are compared with patients of a low-risk group. In addition, the prognostic estimated value of a lung cancer clinical staging system can be improved through the 4-LncRNA moleculartags. In the subsequent exploration of functions and mechanisms of Lnc-GAN1 and NEAT1, the Lnc-GAN1 is found to play a cancer suppressor gene role in lung cancer, and NEAT1 is found to play a cancer suppressor gene role in lung cancer. results show that any one or a combination of two or more of the 4-LncRNA molecular tags can be used as a detection marker for the prognosis evaluation of lung cancer, prognostic effect evaluation, observation and monitor can be provided for the patients with lung cancer, and the 4-LncRNA molecular tags can be applied to judgement of the prognosis status of thepatients and other situation, and has the advantages of rapidity, objectivity, accuracy and the like.

Description

technical field [0001] The present invention relates to the field of application of biomarkers in the production of tumor patient prognosis assessment kits, in particular to the application of 4-LncRNA molecular tags in assessing the prognosis of tumor patients, especially lung cancer patients, and producing tumor prognosis assessment. Background technique [0002] Lung cancer is one of the most lethal tumors in the world, and about 80% of them are non-small cell lung cancers. In clinical practice, diagnostic lag and lack of prognostic predictors are often one of the main reasons for the poor prognosis of NSCLC. The five-year survival rate of patients with advanced lung cancer is only less than 15%, while the five-year survival rate of stage I patients can reach 83%. The current diagnosis basis and prognosis predictors of non-small cell lung cancer are mainly histopathological classification and clinical TNM staging. However, in recent years, many clinical studies at home a...

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): C12Q1/6886A61K45/00A61P35/00
CPCC12Q1/6886A61K45/00A61P35/00C12Q2600/118C12Q2600/158C12Q2600/178Y02A50/30
Inventor 王辉云龙潇冉张美殷买世娟
Owner SUN YAT SEN UNIV CANCER CENT
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