ReviewBladder cancer (Amsterdam, Netherlands)2017
Ten Years of Proteomics in Bladder Cancer: Progress and Future Directions.
Review in Bladder cancer (Amsterdam, Netherlands), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Intersection of Precision Nutrition and Bladder Cancer: A Narrative State-of-the-Art Review of Potential Applications and Challenges.Journal of clinical medicine · 2026Review
- Similar immune responses to alpha1-oleate and Bacillus Calmette-Guérin treatment in patients with bladder cancer.Cancer medicine · 2024Article
- Proteomics Profiling of Bladder Cancer Tissues from Early to Advanced Stages Reveals NNMT and GALK1 as Biomarkers for Early Detection and Prognosis of BCa.International journal of molecular sciences · 2023Article
- Multicentric validation of diagnostic tests based on BC-116 and BC-106 urine peptide biomarkers for bladder cancer in two prospective cohorts of patients.British journal of cancer · 2022Article
- Proteomics for Early Detection of Non-Muscle-Invasive Bladder Cancer: Clinically Useful Urine Protein Biomarkers.Life (Basel, Switzerland) · 2022Review
- Label-free LC-MS/MS proteomics analyses reveal CLIC1 as a predictive biomarker for bladder cancer staging and prognosis.Frontiers in oncology · 2022Article
- Detection of Circulating Serum Protein Biomarkers of Non-Muscle Invasive Bladder Cancer after Protein Corona-Silver Nanoparticles Analysis by SWATH-MS.Nanomaterials (Basel, Switzerland) · 2021Article
- Proteomic profiling of bladder cancer for precision medicine in the clinical setting: A review for the busy urologist.Investigative and clinical urology · 2020Review
- Circulating proteomic signature for detection of biomarkers in bladder cancer patients.Scientific reports · 2020Article
- Advances in urinary biomarker discovery in urological research.Investigative and clinical urology · 2020Review
- Development of biomarkers of genitourinary cancer using mass spectrometry-based clinical proteomics.Journal of food and drug analysis · 2019Review
- Quantitative Comparative Proteomics Reveal Biomarkers for Dengue Disease Severity.Frontiers in microbiology · 2019Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Research efforts targeting the identification of bladder cancer biomarkers have been extensive during the past decade. Investigations have been performed at the genome, transcriptome, proteome, and metabolome levels and outputs have started appearing including the sketching of disease molecular subtypes. Proteins are directly linked to cell phenotype hence they accumulate special interest as both biomarkers and therapeutic targets. Multiple technical challenges exist, of the main, being the protein concentration vast dynamic range and presence of proteins in modified forms. The scope of this review is to summarize the contribution of proteomics research in this quest of bladder cancer biomarkers. To obtain an unbiased and comprehensive overview, the scientific literature was searched for manuscripts describing proteomic studies on urothelial cancer from the last ten years and those including independent verification studies in urine, tissue and blood are briefly presented. General observations include: a) in most cases, suboptimal experimental design including healthy controls in biomarker discovery and frequently biomarker verification, is followed; b) variability in protein findings between studies can be observed, to some extent reflecting complexity of experimental approaches and proteome itself; c) consistently reported biomarkers include mainly plasma proteins and d) compilation of protein markers into diagnostic panels appears the most promising way forward. Two main avenues of research can now be foreseen: targeting integration of the existing disparate data with proteomic findings being placed in the context of existing knowledge on bladder cancer subtypes and in parallel, accumulation of clinical samples to support proper validation studies of promising marker combinations.
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