Identification of esophageal cancer related characteristic pathways and construction method of early diagnosis model

A technology with related features and early diagnosis, applied in the field of tumor diagnosis, can solve the problems of lack of early diagnosis marks and lack of treatment effect.

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

However, due to the lack of early diagnostic markers, for patients with advanced or advanced esophageal cancer, conventional treatment options often fail to achieve ideal therapeutic effects

Method used

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  • Identification of esophageal cancer related characteristic pathways and construction method of early diagnosis model
  • Identification of esophageal cancer related characteristic pathways and construction method of early diagnosis model
  • Identification of esophageal cancer related characteristic pathways and construction method of early diagnosis model

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Embodiment Construction

[0042] 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.

[0043] 1. Expression profile preprocessing

[0044] The human esophageal cancer expression profiling data GSE100843 was downloaded from the GEO database (https: / / www.ncbi.nlm.nih.gov / geo / query / acc.cgi?acc=GSE100843). GSE100843 contains a total of 76 samples, of which 40 are segment and 36 normal squamous mucosa are represented by control. Due to the different inherent expression levels among genes, some genes are sensitive to stimuli and have large expression fluctuations, while some conservative genes have relatively small fluctuations. Therefore, in order to make all genes comparable and convenient to use as input data for deep learning models , we standardized and corrected all expression values ​​by z-test. The correction process ...

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Abstract

The invention belongs to the technical field of tumor diagnosis, and particularly relates to identification of esophageal cancer related characteristic pathways of and a construction method of an early diagnosis model. The identification and constructing method includes the steps: expression spectrum preprocessing, differential expression gene extraction, sample cluster analysis, gene cluster analysis, specific gene set functional pathway analysis, comparison of pathway aberration scores, comparative analysis of functional differences, construction of esophageal cancer specific co-expression networks, characteristic selection of genes, prediction of deep learning models, and the like. The method of the invention divides genes into different groups according to expression similarity and functional consistency of the genes, and analyzes the genes in the form of gene collection, thus being able to avoid the disadvantages of high false positive rate, big random error and unstable result inthe traditional method, and also being able to more specifically identify the function significantly associated with esophageal cancer.

Description

technical field [0001] The invention belongs to the technical field of tumor diagnosis, and in particular relates to a method for identifying characteristic pathways related to esophageal cancer and constructing an early diagnosis model. Background technique [0002] Esophageal cancer is a very common digestive tract cancer with high morbidity and mortality. However, despite the high incidence of esophageal cancer clinically, the pathogenesis of esophageal cancer is still not very clear. Conventional clinical treatment methods include surgery, radiation therapy, chemotherapy, and molecular therapy. However, due to the lack of early diagnostic markers, for patients with advanced or advanced esophageal cancer, conventional treatment options often fail to achieve ideal therapeutic effects. Therefore, the pathogenesis of esophageal cancer and the corresponding effective treatment strategies are problems that we urgently need to solve. At the same time, identifying potential d...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G16H50/30
Inventor 赵杰薛文华范智蕊李砺锋翟运开张腾飞田鑫张超奇宋晓琴马丙钧朱子家沈志博梁淑红
Owner THE FIRST AFFILIATED HOSPITAL OF ZHENGZHOU UNIV
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