Artificial intelligence‐driven consensus gene signatures for improving bladder cancer clinical outcomes identified by multi‐center integration analysis-Reference-Cited by-同舟云学术

Artificial intelligence‐driven consensus gene signatures for improving bladder cancer clinical outcomes identified by multi‐center integration analysis

Published:2022-09-22 Issue:22 Volume:16 Page:4023-4042
ISSN:1574-7891
Container-title:Molecular Oncology
language:en
Short-container-title:Molecular Oncology

Author:

Xu Hui¹²³,Liu Zaoqu¹²³^ORCID,Weng Siyuan¹²³,Dang Qin⁴,Ge Xiaoyong¹,Zhang Yuyuan¹,Ren Yuqing⁵,Xing Zhe⁶,Chen Shuang⁷,Zhou Yifang⁷,Ren Jianzhuang¹,Han Xinwei¹²³^ORCID

Affiliation:

1. Department of Interventional Radiology The First Affiliated Hospital of Zhengzhou University China

2. Interventional Institute of Zhengzhou University China

3. Interventional Treatment and Clinical Research Center of Henan Province Zhengzhou China

4. Department of Colorectal Surgery The First Affiliated Hospital of Zhengzhou University China

5. Department of Respiratory and Critical Care Medicine The First Affiliated Hospital of Zhengzhou University China

6. Department of Neurosurgery The Fifth Affiliated Hospital of Zhengzhou University China

7. The First Affiliated Hospital of Zhengzhou University China

Publisher

Wiley

Subject

Cancer Research,Genetics,Molecular Medicine,General Medicine,Oncology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/1878-0261.13313

Reference49 articles.

1. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

2. Bladder Cancer Incidence and Mortality: A Global Overview and Recent Trends

3. Improving Selection Criteria for Early Cystectomy in High-Grade T1 Bladder Cancer: A Meta-Analysis of 15,215 Patients

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