Postoperative recurrence risk prediction system for patients with stage I lung adenocarcinoma and its application
A risk prediction, lung adenocarcinoma technology, applied in the field of biomedicine, can solve the problem of missing the best time to surgically remove the tumor
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[0048] Example 1. RAMS, a marker model for postoperative recurrence of stage I lung adenocarcinoma established based on metabolic genes and model validation
[0049] In the present invention, the GSE31210 cohort composed of 162 stage I lung adenocarcinoma patients was used to construct the postoperative recurrence marker model RAMS of stage I lung adenocarcinoma, and the GSE30219 lung adenocarcinoma cohort composed of 81 stage I lung adenocarcinoma patients and 74 patients with stage I lung adenocarcinoma were used to construct RAMS. A CICAMS cohort composed of paraffin tissue specimens from patients with stage I lung adenocarcinoma was used to validate the constructed model.
[0050] The clinical characteristics of patients with stage I lung adenocarcinoma are shown in Table 1.
[0051] Table 1. Clinical characteristics of patients with stage I lung adenocarcinoma
[0052]
[0053] 1. Building model RAMS and prediction method with GSE31210 queue
[0054] 1. Construction ...
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