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Method for constructing diagnostic model of prostatic cancer

A diagnostic model, a technology for prostate cancer, applied in the medical field, can solve problems such as uncontrollable growth and reproduction of tumors

Pending Publication Date: 2022-04-05
CHONGQING MEDICAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

Tumors resulting from epigenetic mutations in cells can grow and multiply uncontrollably

Method used

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  • Method for constructing diagnostic model of prostatic cancer
  • Method for constructing diagnostic model of prostatic cancer
  • Method for constructing diagnostic model of prostatic cancer

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Experimental program
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Embodiment Construction

[0032] The present invention is described in detail below in conjunction with specific experiments:

[0033] A method for constructing a diagnosis model of prostate cancer of the present invention specifically comprises the following steps:

[0034] Step 1: Data Collection and Analysis

[0035] 1) Collect patient data

[0036] Two datasets, GSE6919 and GSE30174, were selected from the Gene Expression Omnibus (GEO) database as training datasets.

[0037] The GEO database is a public database of genomic data derived from published papers. The database was created in 2000 and contains high-throughput gene expression data submitted by research institutions around the world. That is to say, as long as it is a paper that has been published so far, the gene expression detection data involved in the paper can be found through this database. . Therefore, it has high credibility based on this database as a data source.

[0038] The present invention selects two data sets, GSE6919 a...

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Abstract

The invention discloses a method for constructing a diagnostic model of prostatic cancer. The method comprises the following steps: Step 1) obtaining gene expression profile data of PCa; 2, differential expression profile analysis is conducted on the gene expression profile data of the PCa, and differential genes in the PCa are screened out; 3, key genes are screened through a GAE algorithm in a machine learning method for differential genes in PCa; step 4) carrying out PPI analysis on a calculation result of the GAE to obtain 10 high-expression genes and 6 low-expression genes; 5, a prognosis model is established through single-factor regression analysis and multi-factor regression analysis; 6, a diagnosis model of the PCa is constructed according to the prognosis model parameters; and (7) the PCa diagnosis model is verified. According to the invention, the PCa diagnosis model constructed by four genes is constructed and verified, so that a basis is provided for personalized precise treatment of PCa patients.

Description

technical field [0001] The invention relates to the field of medicine, in particular to a method for constructing a diagnosis model of prostate cancer. Background technique [0002] Prostate cancer (PCa) is the second most frequently diagnosed malignant tumor in men in Western countries. According to the World Health Organization (WHO) International Agency for Research on Cancer, about 1.1 million men worldwide were diagnosed with prostate cancer as of 2012, accounting for 15% of all cancers diagnosed in men. In my country, according to the latest national cancer statistics released by the National Cancer Center in January 2019, the incidence of prostate cancer has shown a clear upward trend in recent years, ranking sixth among men. PCa is considered to be a heterogeneous disease, and multiple genes and cellular pathways are involved in the occurrence and development of PCa. Tumors resulting from epigenetic mutations in cells can grow and multiply uncontrollably. SUMMARY...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B25/10G16B40/00G16B50/30
Inventor 罗艺灵佟延秋
Owner CHONGQING MEDICAL UNIVERSITY
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