Glioma stemness prediction model and application thereof in guiding clinical precise diagnosis and treatment

By calculating GScore and Z-score, the problem of judging the stem status of glioma is solved, and a method for predicting and screening of glioma is provided, which improves the accuracy of clinical diagnosis and treatment and the effectiveness of treatment choices. .

CN119170292APending Publication Date: 2024-12-20THE FIRST MEDICAL CENT CHINESE PLA GENERAL HOSPITAL
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Patent Information

Application Number
CN202411200944.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-08-29
Publication Date
2024-12-20

AI Technical Summary

Technical Problem

The prior art lacks convenient and robust methods to accurately judge the dry state of glioma, which affects clinical diagnosis, treatment and research.

Method used

By obtaining the expression values ​​of 7 genes CLIC1, GUSB, MSN, NTAN1, TGIF1, DCTD and GLA, GScore was calculated and Z-score normalized, the prognosis, carcinogenicity, and immune microenvironment of glioma patients were predicted, and potential therapeutic drugs were screened.

Benefits of technology

Provide an accurate and convenient stem prediction model of glioma, helping to guide clinical diagnosis and treatment, assess the cancer-causing degree and immune microenvironment of cancer, screen out potential therapeutic drugs, and improve the predictive ability and treatment of glioma patients. Accuracy of choice.

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Abstract

The invention discloses a glioma stemness prediction model and an application of the glioma stemness prediction model in guiding clinical precise diagnosis and treatment, and develops a glioma stem cell related score (GScore) through a series of machine learning ways. The invention provides a method, a system and equipment for predicting the prognosis of glioma patients, evaluating the carcinogenic degree of glioma, predicting the immune microenvironment of glioma or screening potential treatment drugs for glioma on the basis of the GScore, and has a wide application prospect in the aspects of glioma prognosis judgment and new drug screening.
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Citation Information

Patent Citations

  • Multigene assay to predict outcome in an individual with glioblastoma

    US20100167939A1

  • KR20190143417A