Identification and verification of exosome-related gene signature to predict the cancer status and prognosis of prostate cancer

Exosome-related genes such as AQP2 and ZNF114 exhibit good performance as non-invasive biomarkers in predicting the status and prognosis of prostate cancer to avoid the issues of high invasiveness associated with invasive examinations.

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Publication Details

Journal
Discover Oncology
Published
2025-09-03
DOI
https://doi.org/10.1007/s12672-025-03485-0
Citations
2
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
1.87

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article

Identification and verification of exosome-related gene signature to predict the cancer status and prognosis of prostate cancer

Xu‐Wen Li, Xiongjun Ye, Huanmin Wang, Wenkuan Wang et al.
2 citations
Discover Oncology
Cancer-related molecular mechanisms research
1.87
article

Identification and verification of exosome-related gene signature to predict the cancer status and prognosis of prostate cancer

Xu‐Wen Li, Xiongjun Ye, Huanmin Wang, Wenkuan Wang, Yihao Zhu, Dong Chen, Liyuan Wu, Feiya Yang, Y. Zhai
article en
2 citations

Abstract

Exosome-related genes such as AQP2 and ZNF114 exhibit good performance as non-invasive biomarkers in predicting the status and prognosis of prostate cancer to avoid the issues of high invasiveness associated with invasive examinations.

Discover OncologyVol. 16(1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), National Cancer Center (US)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 13%
Cancer-related molecular mechanisms research
1.87
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