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Product for predicting prognosis of lung cancer based on biomarker and related application

A technology of biomarkers and products, applied in the field of disease diagnosis, can solve problems such as the limitation of prediction ability of TNM staging system

Pending Publication Date: 2021-08-31
BEIJING MEDINTELL BIOMED CO LTD +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the predictive ability of the TNM staging system is also limited, so there is an urgent need for new markers that can accurately predict the prognosis of lung cancer patients (Shi X, Li R, Dong X et al. IRGS: an immune-related gene classifier for lung adenocarcinoma prognosis. Journal of translational medicine, 18(1), 55 (2020).)

Method used

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  • Product for predicting prognosis of lung cancer based on biomarker and related application
  • Product for predicting prognosis of lung cancer based on biomarker and related application
  • Product for predicting prognosis of lung cancer based on biomarker and related application

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0085] Example Gene markers associated with diagnosis and prognosis of lung cancer

[0086] 1. Data download

[0087] The RNA-seq data and clinical information of lung adenocarcinoma were obtained from the TCGA database, and the samples with missing survival information and 0 survival period were removed, and the sample size was 496 as the training set; the chip sequencing data and clinical information of lung adenocarcinoma were obtained from the GEO database. Information, remove the samples with missing survival information and 0 survival period, and include a sample size of 226 as the validation set.

[0088] 2. Data standardization

[0089] For TCGA RNA-seq data, the Voom method was used for normalization, and for GEO chip data, the RMA method was used for normalization.

[0090] 3. Single factor Cox analysis

[0091] Univariate Cox analysis was performed on the genes in the training set and the verification set, and the genes related to the survival of lung cancer pati...

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Abstract

The invention discloses a product for predicting prognosis of lung cancer based on a biomarker and a related application, and particularly relates to biomarkers ANLN, ARNTL2, ARRB1, ASPM and TCN1. Through survival curve analysis, it is found that the prognosis or progress of a lung cancer patient can be effectively predicted by using the biomarker.

Description

technical field [0001] The present invention relates to the field of disease diagnosis, more specifically, the present invention relates to products and related applications for predicting the prognosis of lung cancer based on biomarkers. Background technique [0002] Lung cancer is the most common malignant tumor in the world, and its morbidity and mortality rank first in both men and women (Bray F, Ferlay J, et al. Global cancer mortality worldwide for 36 cancers in 185 countries. CA: a cancer journal for Clinicians, 68(6), 394-424 (2018)). Lung cancer is divided into small cell lung cancer (small cell lung cancer, SCLC) and non-small cell lung cancer (non-small cell lung cancer, NSCLC), 80-85% of lung cancer patients are NSCLC. NSCLC is mainly divided into three histological types, namely lung adenocarcinoma, lung squamous cell carcinoma and large cell carcinoma, among which lung adenocarcinoma is the main histological type, accounting for about 40% (Bender E. Epidemiolo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6886G01N33/574G01N33/68G16B40/00
CPCC12Q1/6886C12Q2600/118C12Q2600/158G01N33/57423G01N33/57484G01N33/68G01N33/6887G01N2333/47G01N2333/4712G16B40/00
Inventor 步兵李霞杨承刚
Owner BEIJING MEDINTELL BIOMED CO LTD
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