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Application of model constructed based on biomarkers in prediction of cancer immune efficacy

A technology of biomarkers and cancer immunity, applied in the application field of predicting the efficacy of cancer immunity, can solve problems such as limitations and complex mechanisms

Inactive Publication Date: 2022-08-05
FOURTH MILITARY MEDICAL UNIVERSITY
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  • Abstract
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Problems solved by technology

Judging from the results of current clinical trials, the effect of immune checkpoint inhibitors is very obvious, but the current evaluation of biomarkers for immunotherapy is relatively limited. Immunostimulatory signals are related to the activation of effector cells, and the mechanism is relatively complex, which still needs to be further explored through basic experiments and clinical trials. Therefore, it is of great significance to screen reliable and simple biomarkers

Method used

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  • Application of model constructed based on biomarkers in prediction of cancer immune efficacy
  • Application of model constructed based on biomarkers in prediction of cancer immune efficacy
  • Application of model constructed based on biomarkers in prediction of cancer immune efficacy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0103] Example Construction of a prediction model CuPS to verify the prediction effect of CuPS and PD-L1 inhibitor on immune efficacy

[0104] 1. Obtain 10 key genes regulated by copper death through literature. Among them, there are 7 positive regulator genes of copper death, namely: FDX1, LIPT1, LIAS, DLD, DLAT, PDHA1 and PDHB; 3 negative regulator genes, respectively: MTF1, GLS and CDKN2A.

[0105] 2. The data of gastric cancer patients including survival and gene expression were obtained through the TCGA dataset and the GEO dataset. A total of 1401 gastric cancer patients were included in this study, including the TCGA-STAD dataset (n=350) and the GSE84437 dataset (n=433). ), GSE34942 dataset (n=56), GSE57303 dataset (n=70), GSE15459 dataset (n=192), GSE62254 dataset (n=300). At the same time, the RNA transcriptome data (FPKM format) of gene expression of gastric cancer was obtained through the TCGA data set, and the RNA transcriptome data was converted into the transcrip...

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Abstract

The invention discloses an application of a model constructed based on a biomarker in prediction of a cancer immune curative effect, and particularly relates to a prediction model constructed based on a copper death characteristic gene related to the gastric cancer immune curative effect. Research finds that the prediction model has significant correlation with immune curative effect related indexes such as tumor mutation load, MSI and PD-L1 expression, and meanwhile, the prediction model is also significantly correlated with CR / PR and SD / PD of a patient. Compared with a cancer patient with a high risk score of a prediction model, the overall survival rate of a cancer patient with a low risk score is remarkably increased, so that the prediction model can be used for evaluating the curative effect of cancer immunotherapy.

Description

technical field [0001] The invention belongs to the field of biomedicine, and relates to the application of a model constructed based on biomarkers in predicting the efficacy of cancer immunity. Background technique [0002] Gastric cancer is one of the malignant tumors with high morbidity and mortality in my country, and the latest data show that its morbidity and mortality ranks second. The symptoms of gastric cancer in the early stage are not typical, and most patients have entered the middle and late stages when they are diagnosed, and the treatment effect is poor, and the 5-year survival rate is low. At present, there is still no effective treatment for patients with advanced gastric cancer. In recent years, immunotherapy has become one of the most promising strategies in cancer treatment, showing outstanding results in tumors such as melanoma, non-small cell lung cancer, and renal cancer. Immunotherapy can enable patients with gastric cancer to obtain an effective an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6886G01N33/574G01N33/573G16H50/30G16H70/40
CPCC12Q1/6886G16H50/30C12Q2600/158G06F18/24G06F18/23213G06F18/214G06N3/088C12Q2600/118C12Q2600/112
Inventor 张红梅王祥旭邓世洲杨静悦豆琼一刘青青
Owner FOURTH MILITARY MEDICAL UNIVERSITY
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