Postoperative recurrence risk prediction system for I-stage lung adenocarcinoma patient and application thereof
A technology for risk prediction and lung adenocarcinoma, applied in the field of biomedicine, can solve problems such as missing the best time for tumor resection
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[0048] Example 1. Based on metabolic genes, the postoperative recurrence marker model RAMS of stage I lung adenocarcinoma and model verification
[0049] In the present invention, the GSE31210 cohort composed of 162 patients with stage I lung adenocarcinoma was used to construct the postoperative recurrence marker model RAMS of stage I lung adenocarcinoma, and the GSE30219 lung gland cohort composed of 81 patients with stage I lung adenocarcinoma and 74 The CICAMS cohort composed of paraffin tissue specimens of patients with stage I lung adenocarcinoma was used to verify the constructed model.
[0050] The clinical characteristics of patients with stage I lung adenocarcinoma are shown in Table 1.
[0051] Table 1 shows the clinical characteristics of patients with stage I lung adenocarcinoma
[0052]
[0053] 1. Using GSE31210 queue to build model RAMS and forecasting method
[0054] 1. Construction of the postoperative recurrence marker model RAMS of stage I lung adenoca...
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