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Identification of early diagnosis markers of lung adenocarcinoma based on co-expression similarity, and constructing method of risk prediction model

A technology for early diagnosis and risk prediction, applied in the field of lung adenocarcinoma prediction, can solve problems such as the inability to meet the early diagnosis of lung adenocarcinoma

Active Publication Date: 2019-06-04
THE FIRST AFFILIATED HOSPITAL OF ZHENGZHOU UNIV
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  • Claims
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Problems solved by technology

However, none of the above diagnostic methods can meet the requirements for early diagnosis of lung adenocarcinoma.

Method used

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  • Identification of early diagnosis markers of lung adenocarcinoma based on co-expression similarity, and constructing method of risk prediction model
  • Identification of early diagnosis markers of lung adenocarcinoma based on co-expression similarity, and constructing method of risk prediction model
  • Identification of early diagnosis markers of lung adenocarcinoma based on co-expression similarity, and constructing method of risk prediction model

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Embodiment Construction

[0052] The experimental methods in the following examples are conventional methods unless otherwise specified, and the involved experimental reagents and materials are conventional biochemical reagents and materials unless otherwise specified.

[0053] 1. Data reshaping and grouping

[0054] We first group the lung cancer data according to the clinical information of the samples, and the clinical grading information of each sample, namely phaseI, phaseII, phaseIII, phaseIV. According to the sample grouping, we divided the data into four parts, and it can be considered that the malignancy of lung cancer increases approximately linearly with the increase of phase. The original downloaded data of GSE20189 downloaded from GEO database includes 22277 genes and 162 samples. After comparison with clinical information, there were 81 samples in the control control group (marked as control), 28 samples from early phase I patients (marked as early phase), and 53 samples from middle and ...

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Abstract

The invention belongs to the technical field of lung adenocarcinoma prediction, and specifically relates to an identification of early diagnosis markers of lung adenocarcinoma based on co-expression similarity, and a constructing method of a risk prediction model. The constructing method includes the steps of: data remodeling and grouping, data standardization, phase specific gene extraction, geneco-expression correlation analysis, unsupervised cluster analysis, specific and non-specific co-expression network analysis, functional pathway gathering, significant variation pathway identification, screening of early screening marker genes by using an REE algorithm, establishment of a classification model based on early screening risk genes, survival analysis verification, and the like. The identification of early diagnosis markers of lung adenocarcinoma based on co-expression similarity, and the constructing method of a risk prediction model can realize the early diagnosis of lung cancer,and can identify gene markers which change significantly with the progress of lung cancer at the same time.

Description

technical field [0001] The invention belongs to the technical field of lung adenocarcinoma prediction, and in particular relates to a method for identifying early diagnosis markers of lung adenocarcinoma and constructing a risk prediction model based on co-expression similarity. Background technique [0002] Lung adenocarcinoma (lung adenocarcinoma) is a type of lung cancer and belongs to non-small cell carcinoma. Unlike squamous cell lung cancer, lung adenocarcinoma is more likely to occur in women and non-smokers. Originates from the bronchial mucosal epithelium, and a few originate from the mucous glands of the large bronchi. The incidence rate is lower than squamous cell carcinoma and undifferentiated carcinoma, the age of onset is younger, and women are relatively more common. Most adenocarcinomas originate from the smaller bronchi and are peripheral lung cancers. In the early stage, there are generally no obvious clinical symptoms, and it is often found during chest...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G16H50/30
Inventor 赵杰李砺锋张超奇薛文华翟运开范智蕊张腾飞丁显飞宋晓琴沈志博马丙钧朱子家梁淑红
Owner THE FIRST AFFILIATED HOSPITAL OF ZHENGZHOU UNIV
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