A personalized prognostic assessment method for lung adenocarcinoma based on multiple gene expression profiles

A technology for expression characteristics and prognosis assessment, applied in the fields of biotechnology and medicine

Active Publication Date: 2022-01-18
KUNMING INST OF ZOOLOGY CHINESE ACAD OF SCI
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most reports only use single or several genes, can only classify a group, and can only qualitatively divide the individual survival period (such as two indicators of good prognosis and poor prognosis)

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
  • A personalized prognostic assessment method for lung adenocarcinoma based on multiple gene expression profiles
  • A personalized prognostic assessment method for lung adenocarcinoma based on multiple gene expression profiles
  • A personalized prognostic assessment method for lung adenocarcinoma based on multiple gene expression profiles

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0065] The implementation of the present invention will be described in detail below with examples, so as to fully understand and implement the implementation process of how the present invention uses technical means to solve technical problems and achieve technical effects.

[0066] The invention discloses a method for evaluating the individualized prognosis of lung adenocarcinoma based on a polygene expression profile, comprising the following steps:

[0067] Step 1. Obtain the list of prognostic risk genes and gene weights for lung adenocarcinoma;

[0068] Step 1.1, download the tumor tissue and paracancerous tissue transcriptome data and clinical data of lung adenocarcinoma patients from the Genomic Data Commons Data Portal database, and obtain the tumor tissue gene expression profile FPKM of lung adenocarcinoma patients ( F fragments P er K ilobase of transcript per M million fragments mapped) values, logarithmic transformation (log2).

[0069] Step 1.2, set the total...

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 a method for evaluating the individualized prognosis of lung adenocarcinoma based on a multi-gene expression profile, which comprises the following steps: obtaining a list of prognostic risk genes and gene weights for lung adenocarcinoma; using tumor tissue transcriptome and survival data of patients with lung adenocarcinoma Construct a prognosis assessment model; calculate the patient's risk score based on the gene expression profile of the tumor tissue of lung adenocarcinoma patients; calculate the patient's annual survival probability based on the patient's risk score. The annual survival probability of patients with lung adenocarcinoma obtained by the method of the present invention is highly consistent with the actual annual survival rate (linear correlation R 2 = 0.994, P-value = 2.86E‑43). It is confirmed that the method has high prediction accuracy, which is highly consistent with the actual survival status. At the same time, for each tumor patient, the present invention can provide the specific survival probability curve of the patient.

Description

technical field [0001] The invention belongs to the fields of biotechnology and medicine, and in particular relates to a personalized prognosis evaluation method for lung adenocarcinoma based on multi-gene expression profiles. Background technique [0002] Lung adenocarcinoma accounts for about 40% of all lung cancer patients. Lung cancer is the most common cancer worldwide and the leading cause of cancer death in men. The incidence of lung cancer in the female population is second only to breast cancer. Global Burden of Disease (GBD) data shows that in 2016, the number of people suffering from trachea, bronchus or lung cancer in the world exceeded 2.8 million, of which the number of patients in China was as high as 1 million. In 2016, the number of deaths from the above-mentioned cancers worldwide was 1.7 million, accounting for 3.12% of the total deaths. In 2016, the number of patients who died in China was 590,000, accounting for 6.11% of the total number of deaths. S...

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 Patents(China)
IPC IPC(8): G16B25/00G16H50/30
CPCG16B25/00G16H50/30
Inventor 李文兴李功华黄京飞赵旭东代绍兴
Owner KUNMING INST OF ZOOLOGY CHINESE ACAD OF 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