MIBC typing and prognosis prediction model construction method based on microbial abundance
A classification method and prediction model technology, applied in the field of urinary system tumors, can solve the problems that factors have not been included, and achieve the effect of accurate prognosis prediction
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[0054] 1. Collection of MIBC and clinical data
[0055] The gene expression profile data and clinical information data of MIBC patients were obtained from the Cancer Genome Atlas (TCGA) database (website: https: / / portal.gdc.cancer.gov) (clinical information mainly includes: age, disease stage, DSS and OS).
[0056] The MIBC cohort included in this example is: TCGA-BLCA cohort (n=410), excluding samples of T1 stage and repeated sequencing samples of the same patient, the number of samples included in the actual analysis was 406 cases.
[0057] 2. TCGA microbial testing process
[0058] 1. Identification of microbial data
[0059] A total of 71,782 microbial genomes were downloaded using the RepoPhlan (https: / / bitbucket.org / nsegata / repophlan) database, of which, 5,503 were viruses and 66,279 were bacteria / archaea. Bacteria or archaea were filtered according to whether the mass fraction was greater than 0.8. After filtering, 5503 viruses and 54471 bacteria / archaea remained, i...
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