Machine learning developed immune-related exosome signature for prognosis and immunotherapy benefit in bladder cancer

The current study developed an optimal IES in bladder cancer, which acted as an indicator for predicting clinical outcome and immunotherapy benefits for bladder cancer patients.

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Publication Details

Journal
Discover Oncology
Published
2025-04-18
DOI
https://doi.org/10.1007/s12672-025-02354-0
Citations
1
Primary Topic
Bladder and Urothelial Cancer Treatments
Type
article
Field-Weighted Citation Impact
2.01
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article

Machine learning developed immune-related exosome signature for prognosis and immunotherapy benefit in bladder cancer

Xinyu Luo, Yi Luo
1 citations
Discover Oncology
Bladder and Urothelial Cancer Treatments
2.01
article

Machine learning developed immune-related exosome signature for prognosis and immunotherapy benefit in bladder cancer

Xinyu Luo, Yi Luo
article en
1 citations

Abstract

The current study developed an optimal IES in bladder cancer, which acted as an indicator for predicting clinical outcome and immunotherapy benefits for bladder cancer patients.

Discover OncologyVol. 16(1)
Hangzhou Medical College (CN)
Good health and well-being
Openalex Percentile: Top 17%
Bladder and Urothelial Cancer Treatments
2.01
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Machine learning developed immune-related exosome signature for prognosis and immunotherapy benefit in bladder cancer — Xinyu Luo, Yi Luo · Discover Oncology (2025) | TGRS Research Map | TGRS