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Model for prognosis prediction of breast cancer patient and establishment method

A technology for establishing methods and predictive models, applied in the field of biomedicine, can solve problems such as the limited prediction ability of a single molecule, and achieve high prognosis prediction efficiency, accurate individualized prognosis, strong practicability and guiding effects

Pending Publication Date: 2021-01-05
THE SECOND HOSPITAL OF SHANDONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problem of limited predictive ability of traditional single molecule, the present invention proposes a new model and establishment method for prognostic prediction of breast cancer patients

Method used

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  • Model for prognosis prediction of breast cancer patient and establishment method
  • Model for prognosis prediction of breast cancer patient and establishment method
  • Model for prognosis prediction of breast cancer patient and establishment method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0027]A model and method for predicting the prognosis of breast cancer patients.

[0028]1. Data Acquisition

[0029]Download the clinical data of 1109 breast cancer patients and the RNA-Seq transcriptome data of 1109 breast cancer tissues and 113 normal breast tissues in the TCGA database from the GDC Data Portal (https: / / portal.gdc.cancer.gov). The RNA-Seq transcriptome data is displayed in the form of HT-seq count.

[0030]2. Screening of differential lncRNAs

[0031]Use the R software "DESeq2" package to screen out lncRNAs differentially expressed in breast cancer tissues and normal breast tissues, and set the screening threshold to corrected P 2.

[0032]3. Identification of lncRNAs related to candidate prognosis

[0033]Using R software "survival" and "survminer" software packages to perform univariate Cox regression analysis and Kaplan-Meier survival analysis to jointly identify the correlation with the overall survival of patients (P<0.05) differentially expressed lncRNAs as candidate prognos...

Embodiment 2

[0040]Example 2 Application of a model for predicting the prognosis of breast cancer patients.

[0041]1. Use univariate Cox regression analysis and Kaplan-Meier survival analysis to jointly identify lncRNAs related to breast cancer prognosis

[0042]Use the R software "DESeq2" package to screen out lncRNAs differentially expressed in breast cancer tissues and normal breast tissues, and set the screening threshold to corrected P 2. Then through the R software "survival" and "survminer" software packages for univariate Cox regression analysis, Kaplan-Meier survival analysis, and P<0.05 is the standard to identify 71 differentially expressed lncRNAs that are associated with the prognosis of breast cancer patients. (Table 1).

[0043]Table 1. 71 differentially expressed lncRNAs related to the prognosis of breast cancer patients

[0044]

[0045]

[0046]

[0047]2. Use multivariate Cox stepwise regression analysis to construct a breast cancer prognostic risk scoring model

[0048]In the training set, the abov...

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Abstract

A model for prognosis prediction of breast cancer patients is characterized in that joint judgment is performed by ten lncRNAs expression quantities. The established model can predict prognosis of thepatient more accurately and individually, better guide clinical decision, provide reference for selection of a treatment scheme of the patient and reduce unnecessary treatment, and has important significance for accurate diagnosis and treatment of breast cancer. In view of the limited prognosis evaluation capability of the current breast cancer TNM staging system and molecular typing on patients,the model makes an effective progress for the research in the direction. According to the method, the prognosis condition of the patient can be accurately evaluated, and the model has very high practicability and guidance.

Description

Technical field[0001]The invention belongs to the field of biomedicine technology and relates to a model and a method for establishing the prognosis of breast cancer patients.Background technique[0002]Breast cancer is the most common malignant tumor in women. Since the end of the 1970s, with the change of living habits and the acceleration of the aging population, the incidence of breast cancer has been increasing year by year worldwide. In 2018, the number of new cases of breast cancer in women worldwide reached 2,088,849, accounting for all new cases. 11.6% of tumors occurred; 626,679 deaths occurred, accounting for 6.6% of the total tumor deaths. According to statistics from the National Cancer Registry, there were approximately 268,600 new female breast cancer patients nationwide in 2015, with an incidence rate of 37.86 per 100,000, ranking first among female malignant tumors.[0003]At present, the clinical features of tumor morphology and its pathological stage are mainly used t...

Claims

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Application Information

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IPC IPC(8): G16H50/20G16H50/70
CPCG16H50/20G16H50/70
Inventor 王传新杜鲁涛李培龙杨雪梅李娟齐秋晨
Owner THE SECOND HOSPITAL OF SHANDONG UNIV
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