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Ferroptosis model construction method and application

A construction method, ferroptosis technology, applied in the field of ferroptosis model construction, can solve problems such as differences in tumor biological behavior, achieve the effect of predicting overall survival rate, realizing intelligent prediction, and realizing survival rate

Pending Publication Date: 2021-12-10
THE THIRD XIANGYA HOSPITAL OF CENT SOUTH UNIV
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Problems solved by technology

Therefore, the difference in the expression pattern of ferroptosis regulatory molecules determines the ferroptosis state of different tumor tissues, which in turn causes the difference in the biological behavior of tumors.
However, there is currently no study using the information of ferroptosis regulatory molecules to predict the treatment of gastric cancer.

Method used

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  • Ferroptosis model construction method and application
  • Ferroptosis model construction method and application
  • Ferroptosis model construction method and application

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Experimental program
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Effect test

Embodiment 1

[0048] Correlation of ferroptosis score with clinical case parameters in patients with gastric cancer:

[0049] In the present invention, multivariate Cox regression analysis also confirmed that low iron death score is an independent survival prognostic factor for gastric cancer patients (hazard ratio: 0.376195% confidence interval (0.2467-0.5733)) as shown in Figure 5-A. Further, the time-dependent ROC curve was used to judge the predictive value of the ferroptosis score on the survival of patients with gastric cancer: the predictive efficiency of the risk score on the overall survival of patients at 1 year, 3 years and 5 years was 0.65, 0.66 and 0.65 ( Figure 5 -B), the results show that the ferroptosis score can well predict the overall survival rate of gastric cancer patients. Compared with the low-grade gastric cancer samples (stageI / II), the high-grade gastric cancer (stageIII / IV) samples have higher ferroptosis scores ( Figure 5 -C), Gastric cancer patients with metas...

Embodiment 2

[0052] Correlation of ferroptosis score with drug sensitivity and immunotherapy response in cancer patients:

[0053] In the embodiment of the present invention, the cancer cell line chip expression data and corresponding drug sensitivity data are downloaded from the GDSC database. Secondly, using the ferroptosis scoring formula mentioned above, calculate the ferroptosis score of each cell line; then calculate the ferroptosis score and the drug half maximum inhibitory concentration (IC 5 0) spearman correlation coefficient ( Figure 7 -A). In the study, when the |spearman correlation coefficient|≥0.15 and p50 The value decreased with the increase of ferroptosis score, which indicated that patients with high ferroptosis score were more sensitive to the drug, and vice versa. The results of correlation analysis showed that the tumor inhibitory effect of 66 drugs was correlated with ferroptosis score, among which 27 drugs were more effective for high ferroptosis score group, and...

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Abstract

The invention belongs to the field of artificial intelligence technology application, and particularly relates to a ferroptosis model construction method and application. The method specifically comprises the following steps: screening out a plurality of ferroptosis regulation molecules with large expression level change by adopting an existing gene expression database and ferroptosis regulation molecules, and typing the gastric cancer by adopting a consensus clustering method; performing gene expression difference analysis on the gastric cancer subtypes to obtain differential expression genes; then screening survival prognosis-related differential genes and regression coefficients thereof from the differential expression genes by adopting single-gene Cox regression analysis, and obtaining survival-related differential genes i of the patient to be analyzed; and counting the expression quantity Expi of the survival-related differential gene i, and constructing a ferroptosis model according to a regression coefficient betai corresponding to the survival-related differential gene i: ferroptosis score = [sigma]*Exp. The ferroptosis score can well predict survival prognosis, chemotherapy drug sensitivity and immunotherapy effect of the gastric cancer patient.

Description

technical field [0001] The invention belongs to the application field of artificial intelligence technology, and specifically relates to a method for constructing a ferroptosis model. The ferroptosis model is used to predict the survival prognosis, chemotherapeutic drug sensitivity and immunotherapy curative effect of gastric cancer patients. Background technique [0002] Gastric cancer is one of the top 10 malignant tumors in the world, with more than 1 million newly diagnosed cases every year. Due to untimely diagnosis and treatment, gastric cancer is the third most common cause of cancer death, accounting for approximately 78,000 gastric cancer deaths each year. Especially for patients with advanced gastric cancer and distant metastasis, no matter what kind of treatment they receive, the 5-year overall survival rate is only 5%, and the median survival time is less than 1 year. Moreover, due to the high genetic heterogeneity of tumor cells and the dynamic changes in the t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B20/20G16H50/30G16H50/70
CPCG16B20/20G16H50/30G16H50/70
Inventor 王芬肖士郎刘晓明袁玲芝
Owner THE THIRD XIANGYA HOSPITAL OF CENT SOUTH UNIV
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