Pancreatic cancer prognosis analysis method, system and device based on ferroptosis related genes

An analytical method and technology for pancreatic cancer, applied in the field of medical evaluation, which can solve problems such as poor prognosis and heterogeneity of pancreatic cancer

Pending Publication Date: 2022-01-18
湘南学院附属医院
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Problems solved by technology

Pancreatic cancer currently has a poor prognosis due to its high degree of malignancy and heterogeneity

Method used

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  • Pancreatic cancer prognosis analysis method, system and device based on ferroptosis related genes
  • Pancreatic cancer prognosis analysis method, system and device based on ferroptosis related genes
  • Pancreatic cancer prognosis analysis method, system and device based on ferroptosis related genes

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Embodiment

[0052] Step S1: In June 2021, the data of 182 pancreatic cancer patients were downloaded from the c-Bioportal database (http: / / www.cbioportal.org / ) based on The Cancer Genome Atlas (TCGA), among which Including important clinicopathological data, gene expression and other files of patients. Some patient cases with missing information were deleted as needed; data were standardized and preprocessed; survival status was classified into two categories: 0 for survival and 1 for death. Normal tissue samples are eliminated, and gene expression levels of tumor tissue samples, such as mRNA expression matrix, are retained. But the source of data is not limited to this.

[0053] Step S2: Screening differential genes from the gene expression data.

[0054] The 60 genes related to ferroptosis include: ACSL4, AKR1C1, AKR1C2, AKR1C3, ALOX15, ALOX5, ALOX12, ATP5MC3, CARS, CBS, CD44, CHAC1, CISD1, CS, DPP4, FANCD2, GCLC, GCLM, GLS2, GPX4, GSS, HMGCR, HSPB1, CRYAB, LPCAT3, MT1G, NCOA4, PTGS2, ...

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Abstract

The invention discloses a pancreatic cancer prognosis analysis method, system and device based on ferroptosis-related genes, and belongs to the technical field of medical evaluation. The method comprises the steps of obtaining case data of pancreatic cancer, where the case data comprise clinical data and gene expression data of tumor tissue; screening differential genes from the gene expression data, wherein the differential genes comprise differential ferroptosis related genes; screening out significant genes from the differential ferroptosis related genes according to a Cox regression analysis method; establishing a prognosis model according to case data of the significant genes; and based on the prognosis model, performing prognosis analysis on case data of pancreatic cancer. The significant gene is a significant gene for prognosis analysis, namely an independent risk factor, and after detection, the established prognosis model can effectively perform prognosis evaluation.

Description

technical field [0001] The invention relates to the technical field of medical evaluation, in particular to a method, system and device for analyzing the prognosis of pancreatic cancer based on ferroptosis-related genes. Background technique [0002] After patients with pancreatic cancer (PAAD) are admitted to the hospital, doctors need to analyze the prognosis of the patients. Prognosis is the key factor for doctors to promote, predict the development of the disease based on experience, and guide patients to correctly understand their own disease and cooperate with treatment. At present, due to the high degree of malignancy and heterogeneity of pancreatic cancer, the prognosis is poor. In order to better treat and serve patients, a more accurate method for estimating the prognosis of pancreatic cancer is urgently needed. [0003] Ferroptosis, one of many non-apoptotic cell deaths, is used to describe the iron-dependent cell death process of cancer cells and to distinguish...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B40/20G16B25/10G16H50/30C12Q1/6886
CPCG16B40/20G16B25/10G16H50/30C12Q1/6886C12Q2600/118C12Q2600/158
Inventor 谢辉李庆张见芳邓祖亮
Owner 湘南学院附属医院
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