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Machine learning prediction models based on hub genes related to immune phenotypes in muscle-invasive bladder cancer treated with immune checkpoint blockade

2021-04-21

Abstract excerpt

<title>Abstract</title> <p>Background Bladder cancer is one of the most frequent cancers in the world. Muscle-invasive bladder cancer (MIBC) is the aggressive subtype with higher morbidity and mortality. Immune check point blockade (ICB) therapy has shown its potential for treating MIBC, but is limited due to the lack of predictive biomarkers. Methods 1601 MIBC transcriptomic profiles were obtained from 10 data...

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Literature Corpus work
511e8231-ebb3-5409-94a8-b064bb6d41d0
DOI
10.21203/rs.3.rs-63592/v3
Open publication

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Machine learning prediction models based on hub genes related to immune phenotypes in muscle-invasive bladder cancer treated with immune checkpoint blockadeDOI 10.21203/rs.3.rs-63592/v3
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