Disease Markers

Biomarkers for Urological Malignancies


Publishing date
01 Jan 2021
Status
Published
Submission deadline
28 Aug 2020

Lead Editor

1Institut Curie, Paris, France

2Erasmus University Medical Center, Rotterdam, Netherlands

3Mayo Clinic, Rochester, USA


Biomarkers for Urological Malignancies

Description

Human urological malignancies (UMs) represent a spectrum of malignancies with huge burden of disease. Conventional clinical management for UMs mainly relies on invasive diagnostics and treatment strategies guided by less precise population-level evidence.

For certain aggressive UMs, such as muscle-invasive bladder cancer and castration-resistant prostate cancer, treatments with adequate effectiveness are yet to be established. These challenges warrant the active discovery of biomarkers which form the basis for accurate and less invasive diagnostic approaches as well as for individualized therapies for UM.

In this Special Issue, we call for research and review articles on the innovation and clinical application of biomarkers for UMs. Research papers reporting multidisciplinary findings, such as those involving omics-based discovery as well as preclinical/clinical validation, are especially welcome.

Potential topics include but are not limited to the following:

  • Innovation and application of nucleic acid, protein, and imaging biomarkers for UMs
  • Liquid biopsy for UMs
  • Evidence-based medicine for UM biomarkers
  • Molecular subtyping and personalized medicine for UMs
  • Molecular epidemiologic biomarkers for UMs
  • High-tech UM biomarker discovery (single-cell omics, multiplexed imaging, artificial intelligence, etc.)

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 8870353
  • - Research Article

Bibliometrics Analysis of Diagnostic Test Accuracy Studies of Bladder Cancer

Yuan Zhang | Yao Xu | Shuo Li
  • Special Issue
  • - Volume 2021
  • - Article ID 8849977
  • - Research Article

A Risk Signature with Autophagy-Related Long Noncoding RNAs for Predicting the Prognosis of Clear Cell Renal Cell Carcinoma: Based on the TCGA Database and Bioinformatics

Yundong Xuan | Weihao Chen | ... | Xu Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 8839747
  • - Research Article

A 5-lncRNA Signature Associated with Smoking Predicts the Overall Survival of Patients with Muscle-Invasive Bladder Cancer

Haoyue Sheng | Guiming Zhang | ... | Dingwei Ye
  • Special Issue
  • - Volume 2020
  • - Article ID 8810756
  • - Research Article

GPM6B Inhibit PCa Proliferation by Blocking Prostate Cancer Cell Serotonin Absorptive Capacity

Siyuan He | Zhenlin Huang | ... | Zhankui Jia
  • Special Issue
  • - Volume 2020
  • - Article ID 8833438
  • - Research Article

Systematic Investigation of mRNA N6-Methyladenosine Machinery in Primary Prostate Cancer

Mei Jiang | Yali Lu | ... | Yao Li
  • Special Issue
  • - Volume 2020
  • - Article ID 8837941
  • - Research Article

miR-106a-5p Functions as a Tumor Suppressor by Targeting VEGFA in Renal Cell Carcinoma

Jun Ma | Wenguang Wang | ... | Hamulati Tusong
  • Special Issue
  • - Volume 2020
  • - Article ID 8867019
  • - Research Article

Development of an Autophagy Score Signature for Predicting Overall Survival in Papillary Renal Cell Carcinoma

Xiang Gu | Xiaojun Chen | ... | Yizhi Ge
  • Special Issue
  • - Volume 2020
  • - Article ID 8833972
  • - Research Article

An Epithelial-Mesenchymal Transition (EMT) Preoperative Nomogram for Prediction of Lymph Node Metastasis in Bladder Cancer (BLCA)

Rui Cao | Bo Ma | ... | Lushun Yuan
  • Special Issue
  • - Volume 2020
  • - Article ID 8899924
  • - Research Article

CD82 Suppresses ADAM17-Dependent E-Cadherin Cleavage and Cell Migration in Prostate Cancer

Zhenkun Ma | Ye Gao | ... | Lei Li
  • Special Issue
  • - Volume 2020
  • - Article ID 8818445
  • - Research Article

C-reactive Protein/Albumin Ratio and Acute Kidney Injury after Radical Cystectomy among Elderly Patients: A Propensity Score-Matched Analysis

Jihion Yu | Jun-Young Park | ... | Young-Kug Kim
Disease Markers
 Journal metrics
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Acceptance rate6%
Submission to final decision131 days
Acceptance to publication42 days
CiteScore3.700
Journal Citation Indicator-
Impact Factor-

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