Construction method of prognosis evaluation model of intrahepatic cholangiocarcinoma patient
A technology for prognostic assessment and method construction, applied in the field of bioinformatics, can solve problems that have not yet been
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Embodiment 1
[0060] Example 1: Data Collection
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[0061] This embodiment mainly introduces the specific steps of collecting DNA methylation data of ICC samples. The specific implementation is as follows:
[0062] First, samples of patients with intrahepatic cholangiocarcinoma (ICC) were obtained from the biobanks of West China Hospital of Sichuan University, Zhongshan Hospital of Fudan University, and Tianjin Medical University Cancer Hospital. Immediately after surgery, the samples were placed in liquid nitrogen. Freeze and store at -80 °C or in liquid nitrogen. Then, the samples undergo the process of genomic DNA isolation, WGBS database generation, sequencing, quality control and WGBS data processing to obtain the DNA methylation data of ICC samples. The DNA methylation data include the average methylation value of the 4,000 bps promoter region.
[0063] It should be noted that, as shown in Table 1, 164 and 170 patients participated in the training cohort and the verification cohort respectively in the embodiment of the ...
Embodiment 2
[0070] Example 2: Data Analysis
[0071] Example 2 is mainly to analyze the DNA methylation data in Example 1, and screen out several ICC-related promoter regions. The specific implementation is as follows:
[0072] In total, this example identified 175,976 promoter regions obtained by WGBS in the training cohort, corresponding to 198,074 transcripts for 42,737 genes (coding and non-coding genes). The methylation level of each promoter region derived from the WGBS data was continuous and quantitative, and the methylation level of the promoter region was determined to be significantly associated with overall survival using a univariate Cox method (P < 0.01). Subsequently, 36,938 promoter regions were found to be meaningful in univariate Cox analysis. C-index (index of concordance, consistency index) is usually used to evaluate the performance of the model, therefore, we first calculate the C-index of each promoter region, and then select the top 5000 promoter regions ranked b...
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