Multiple Myeloma Comprehensive Risk Score

A multiple myeloma, comprehensive risk technology, applied in the field of multiple myeloma comprehensive risk score, can solve the problem of not establishing an effective and simple MM comprehensive risk score method, and achieve the effect of high prediction accuracy

Active Publication Date: 2021-10-01
THE FIRST AFFILIATED HOSPITAL OF FUJIAN MEDICAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the heterogeneity of multiple myeloma has been paid more and more attention. However, there is no effective and simple comprehensive risk scoring method for MM in the world.

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  • Multiple Myeloma Comprehensive Risk Score
  • Multiple Myeloma Comprehensive Risk Score
  • Multiple Myeloma Comprehensive Risk Score

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Embodiment Construction

[0041] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments It is some embodiments of the present invention, but not all of them. Based on the implementation manners in the present invention, all other implementation manners obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the implementation manners in the present invention, all other implement...

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Abstract

The present invention provides a multiple myeloma comprehensive risk scoring method, comprising the following steps: S1, obtaining the gene expression profile GSE24080 of multiple myeloma patients from the GEO database, and predicting the genes in the gene expression profile GSE24080 processing, to obtain the top 25% of the 5413 genes with the largest variance in expression values; S2, to perform WGCNA gene co-expression network analysis on the 5413 genes to identify co-expressed functional modules; The correlation between the modules and clinical information was evaluated to determine the most significant modules; S4, using the Cox proportional hazards model to perform univariate survival analysis on the genes in the most significant modules, and screened out the 10 most significant modules by LASSO regression The ten-gene scoring model with the best gene composition; S5, when the ten-gene scoring model or serum β2M or LDH is higher than the cut-off value, the score of each factor is 1, otherwise it is 0, and a comprehensive risk scoring system is established.

Description

technical field [0001] The invention relates to a multiple myeloma-based comprehensive risk scoring method. Background technique [0002] Multiple myeloma (MM) is a malignant plasma cell disease in which tumor cells originate from plasma cells in the bone marrow, which are cells that develop to the final functional stage of B lymphocytes. At present, the heterogeneity of multiple myeloma has been paid more and more attention. However, there is no effective and simple comprehensive risk scoring method for MM in the world. Contents of the invention [0003] The invention provides a multiple myeloma comprehensive risk scoring method, which can effectively solve the above problems. [0004] The present invention is achieved like this: [0005] A multiple myeloma comprehensive risk scoring method, comprising the following steps: [0006] S1, obtaining the gene expression profile GSE24080 of multiple myeloma patients from the GEO database, and preprocessing the genes in the g...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/30G16H50/70
CPCG16H50/30G16H50/70
Inventor 曾志勇陈君敏
Owner THE FIRST AFFILIATED HOSPITAL OF FUJIAN MEDICAL UNIV
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