Establishment and Validation of an Individualized Cell Cycle Process-Related Gene Signature to Predict Cancer-Specific Survival in Patients with Bladder Cancer
机构：[1]Department of Radiation Oncology, University Hospital, LMU Munich, D-81377 Munich, Germany[2]Technical University of Munich, D-80333 Munich, Germany[3]Research Unit Radiation Cytogenetics, Helmholtz Center Munich, German Research Center for Environmental Health GmbH, D-85764 Neuherberg, Germany[4]Department of Radiotherapy, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610041, China四川省人民医院四川省肿瘤医院[5]Department of Urology, University Hospital, LMU Munich, D-81377 Munich, Germany
More accurate models are essential to identify high-risk bladder cancer (BCa) patients who will benefit from adjuvant therapies and thus helpful to facilitate personalized management of BCa. Among various cancer-related hallmarks and pathways, cell cycle process (CCP) was identified as a dominant risk factor for cancer-specific survival (CSS) in BCa. Using a series of bioinformatic and statistical approaches, a CCP-related gene signature was established, and the prognostic value was validated in other independent BCa cohorts. In addition, the risk score derived from the gene signature serves as a promising marker for therapeutic resistance. In combination with clinicopathological features, a nomogram was constructed to provide more accurate prediction for CSS, and a decision tree was built to identify high-risk subgroup of muscle invasive BCa patients. Overall, the gene signature could be a useful tool to predict CSS and help to identify high-risk subgroup of BCa patients, which may benefit from intensified adjuvant therapy.
基金：
We greatly thank the China Scholarship Council (CSC) for supporting the work of Run Shi
(No. 201708320347), Xuanwen Bao (No. 201608210186), and Jing Sun (No. 201808320327).
第一作者机构：[1]Department of Radiation Oncology, University Hospital, LMU Munich, D-81377 Munich, Germany
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推荐引用方式(GB/T 7714)：
Run Shi,Xuanwen Bao,Paul Rogowski,et al.Establishment and Validation of an Individualized Cell Cycle Process-Related Gene Signature to Predict Cancer-Specific Survival in Patients with Bladder Cancer[J].CANCERS.2020,12(5):doi:10.3390/cancers12051146.
APA：
Run Shi,Xuanwen Bao,Paul Rogowski,Christian Schäfer,Nina-Sophie Schmidt-Hegemann...&Minglun Li.(2020).Establishment and Validation of an Individualized Cell Cycle Process-Related Gene Signature to Predict Cancer-Specific Survival in Patients with Bladder Cancer.CANCERS,12,(5)
MLA：
Run Shi,et al."Establishment and Validation of an Individualized Cell Cycle Process-Related Gene Signature to Predict Cancer-Specific Survival in Patients with Bladder Cancer".CANCERS 12..5(2020)
