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Tumor patient lifetime prediction system

A tumor patient and prediction system technology, applied in health index calculation, medical simulation, medical informatics, etc., can solve the problems of molecular marker overfitting, inability to use, data set heterogeneity and cross-platform detection technology deviation. , to achieve the effect of easy access, saving time and energy

Active Publication Date: 2020-04-10
THE FIRST HOSPITAL OF CHINA MEDICIAL UNIV +1
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AI Technical Summary

Problems solved by technology

However, molecular markers generally have problems such as overfitting, too small number of cases in the discovery group, and lack of external validation, which cannot be applied to clinical practice; there are also heterogeneity and differences between data sets when using gene expression to predict patient survival time. It is difficult to achieve clinical application due to problems such as cross-platform detection technology deviation

Method used

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Experimental program
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Effect test

Embodiment 1

[0096] This embodiment takes lower-grade glioma as an example to illustrate the establishment method of the system model for predicting the survival of tumor patients in the present disclosure

[0097] A set of transcriptome expression profile data from 172 patients with lower-grade glioma in China was collected as the discovery group, and 2214 immune genes related to lower-grade glioma were screened out from the discovery group data, and the immune genes of these immune genes were analyzed. A database containing 2,449,791 immune gene pairs was established by pairwise comparison of expression levels. Assuming that gene i and gene j are a gene pair in the database, in a patient, if the expression of gene i is greater than the expression of gene j, the gene pair will be recorded as 1, if the expression of gene i is less than is equal to the expression level of gene j, the gene pair is recorded as 0. If the expression results of a gene pair in more than 95% of the patients were ...

Embodiment 2

[0115] This embodiment is used to verify the prediction accuracy of the lower-grade glioma patient survival prediction system in Example 1

[0116] A set of transcriptome expression profile data of 171 lower-grade glioma patients from China was collected as an internal validation group; a set of transcriptome expression profile data of 415 lower-grade glioma patients from the United States was collected as an external validation set.

[0117] The survival period prediction system for patients with lower-grade glioma provided in Example 1 was used to predict the survival period, and the consistency between the prediction result and the actual survival time of the patient was compared.

[0118] The results show that the lower-grade glioma patient survival prediction system in Example 1 has a consistency of 0.79 between the survival prediction results of the patients in the internal validation group and the actual survival time of the patients; the lower-grade glioma patients in E...

Embodiment 3

[0120] Using PCR technology to verify the accuracy of the prediction results of the survival period of 36 patients with lower grade glioma patients provided by the lower grade glioma survival prediction system provided in Example 1

[0121] The above CRH-IFNB1, HOXA9-PRG3, IL10-IL9, IL9-PTH2, IL9-RETNLB, NKX2-5-PRLH, NKX3-2-UCN3, NR2C1-PTX3, PRLHR-REG1A and PRLHR-TRIM31 were detected by quantitative PCR technology The relative expression values ​​of the constituent genes of the 10 immune gene pairs; the pathological grade and 1p19q status of the patients were obtained through the pathology department, and the nomogram model was used to calculate the survival probability of the patients as control data.

[0122] The survival period prediction system for patients with lower-grade glioma provided in Example 1 was used to predict the survival period, and the consistency of the prediction results with the control data was compared.

[0123] The results show that the survival predic...

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Abstract

The invention relates to a tumor patient lifetime prediction system. The system comprises a calculation device, an input device used for inputting a risk score of the relative transcript level of a tumor prognosis related gene pair of a tumor patient individual, and an output device used for outputting a lifetime survival probability of a tumor patient; wherein the tumor prognosis related gene pair is a gene pair in which the relative size of the expression quantities of two genes in the gene pair is related to the lifetime of the tumor patient; the calculation device comprises a memory and aprocessor. A computer program is stored in the memory so as to realize a modeling algorithm and an algorithm of a discrimination function; and the modeling algorithm is a least partial squares algorithm. According to the tumor patient lifetime prediction system, variables which are easy to obtain clinically are synthesized, the prediction result of the tumor patient lifetime can be obtained rapidly and accurately, and the time and energy of a user are saved.

Description

technical field [0001] The present disclosure relates to computer application technology, in particular, to a system for predicting the survival period of tumor patients. Background technique [0002] Accurately predicting the survival period of patients has important clinical, scientific research and social value. In clinical work, accurate survival prediction can guide doctors to formulate personalized examination and treatment plans for high-risk patients, help doctors formulate reasonable reexamination and follow-up plans, and improve the quality of medical services. In scientific research, accurate prediction of patient risk level can provide an important basis for the development of effective treatment plans for high-risk patients, and can become an important reference for testing the effect of new treatments. From a social perspective, accurate prediction of patient survival can provide patients and their families with scientific survival expectations, guide patients...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G16H50/50
CPCG16H50/30G16H50/50Y02A90/10
Inventor 吴安华江涛程文王志亮
Owner THE FIRST HOSPITAL OF CHINA MEDICIAL UNIV
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