Method for constructing msi prediction model based on immune-related genes

An immune-related and predictive model technology, applied in the field of bioinformatics, can solve the problems of poor clinical performance, high cost, and inability to provide ICIs treatment for patients sensitive to immunotherapy, so as to achieve good prognosis and predict the effect of prognosis risk

Active Publication Date: 2022-03-18
SICHUAN CANCER HOSPITAL
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Problems solved by technology

Compared with MSS / MSI-L patients, MSI-H colon cancer patients have a significant survival advantage, with poorer clinical performance, but significantly prolonged overall survival and disease-free survival
[0005] Therefore, immune-related genes play a vital role in the occurrence and development of colon cancer. The traditional methods for detecting MSI are mainly immunohistochemistry (IHC) and polymerase chain reaction (PCR). It needs to be carried out in large medical institutions, and the cost is high and the operation is cumbersome. It is difficult to promote to every patient in clinical practice. Therefore, it is impossible to provide timely ICIs treatment for a large number of potentially immunotherapy-sensitive patients, thus losing the chance of clinical benefit

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  • Method for constructing msi prediction model based on immune-related genes
  • Method for constructing msi prediction model based on immune-related genes
  • Method for constructing msi prediction model based on immune-related genes

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Embodiment

[0041] The present invention is realized through the following technical solutions, see figure 1 A method for constructing an MSI prediction model based on immune-related genes, comprising the following steps:

[0042] Step S1: Collect the training set and validation set for constructing the immune-related MSI prediction model irMSIs from the Cancer Genome Atlas database.

[0043] Download four cancer cohorts from the Cancer Genome Atlas database TCGA (hereinafter referred to as TCGA), including colon cancer COAD (n=551), rectal cancer READ (n=177), gastric cancer STAD (n=407) , mRNA expression profile and clinical information of esophageal carcinoma ESCA (n=173). The colon cancer COAD cohort was used as the training set for the screening of differential genes and the immune-related MSI prediction model irMSIs, and the other cohorts were used as the validation set for the immune-related MSI prediction model irMSIs.

[0044] Convert the fragments per kilobase per million (FKP...

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Abstract

The invention relates to a method for constructing an MSI prediction model based on an immune-related gene, comprising the following steps: collecting and constructing a training set and a verification set of an immune-related MSI prediction model irMSIs from a cancer genome atlas database; selecting an immune-related gene from an immunology database, and The differential genes were screened out; according to the screened differential genes, the immune-related MSI prediction model irMSIs was constructed by the LASSO logistic regression algorithm; the prognosis risk was verified using the immune-related MSI prediction model irMSIs. The present invention provides the application of immune-related genes in the prediction of MSI status. Combined with immune-related genes, a group of characteristic genes that can stably predict MSI in digestive tract tumors, especially colon cancer, are found, and can well predict the prognosis of colon cancer risk.

Description

technical field [0001] The invention relates to the technical field of biological information, in particular to a method for constructing an MSI prediction model related to colon cancer based on immune-related genes. Background technique [0002] In recent years, tumor immunotherapy for colon cancer has been considered as a treatment method that cannot be ignored, and its focus is to achieve the efficacy of identifying, controlling and eliminating tumors by activating the body's immune system. Drugs targeting immune checkpoint inhibitors (ICIs), such as cytotoxic T-lymphatic system-associated protein 4 (CTLA-4) monoclonal antibody, inhibitor of programmed death protein and its ligand (PD-1 / PD-L1 ) monoclonal antibodies, etc., have brought new hope for the treatment of various tumors, including advanced melanoma, non-small cell lung cancer and bladder cancer. Patients with colon cancer can also benefit from immunotherapy. At present, the US FDA has approved PD-1 immunotherap...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16B5/00G16B35/20G16B50/00G16H50/30G16H50/50G06K9/62
CPCG16B5/00G16B35/20G16B50/00G16H50/30G16H50/50G06F18/214G06F18/24323
Inventor 路顺邓思瑶
Owner SICHUAN CANCER HOSPITAL
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