ArticleFrontiers in oncology2024
Exploration of potential biomarkers for early bladder cancer based on urine proteomics.
Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 7 citations in OpenAlex.
- From cell lines to the clinic: identifying a urinary BlCa-EV signature through comparative proteomics of bladder cancer lysates and extracellular vesicles.Cell communication and signaling : CCS · 2026Article
- Serum Protein Signatures for Breast Cancer Detection in Treatment-Naïve African American Women Using Integrated Proteomics and Pattern Analysis.Sensors (Basel, Switzerland) · 2026Article
- Label-free quantitative urinary proteomics for non-invasive biomarker discovery in endometrial cancer.Frontiers in medicine · 2026Article
- A Comprehensive Analysis of the ITIH Family Across Multiple Cancer Types and an Initial Investigation of ITIH1 in Gastric Cancer.Current medicinal chemistry · 2026Article
- Integration of Single-cell and bulk RNA sequencing data uncovers lymphatic metastasis-related prognostic genes and a predictive model in bladder cancer.Scientific reports · 2025Article
- LINC01082 inhibits malignant phenotypes of bladder cancer through sponging miR-1269a.World journal of surgical oncology · 2025Article
- In Search of Ideal Solutions for Cancer Diagnosis: From Conventional Methods to Protein Biomarkers in Liquid Biopsy.Proteomes · 2025Review
- Proteomic and In Silico Analyses Highlight Complement System's Role in Bladder Cancer Immune Regulation.Medicina (Kaunas, Lithuania) · 2025Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Bladder cancer is a common malignant tumor of the urinary system. The progression of the condition is associated with a poor prognosis, so it is necessary to identify new biomarkers to improve the diagnostic rate of bladder cancer. Methods: In this study, 338 urine samples (144 bladder cancer, 123 healthy control, 32 cystitis, and 39 upper urinary tract cancer samples) were collected, among which 238 samples (discovery group) were analyzed by LC-MS. The urinary proteome characteristics of each group were compared with those of bladder cancer, and the differential proteins were defined by bioinformatics analysis. The pathways and functional enrichments were annotated. The selected proteins with the highest AUC score were used to construct a diagnostic panel. One hundred samples (validation group) were used to test the effect of the panel by ELISA. Results: Compared with the healthy control, cystitis and upper urinary tract cancer samples, the number of differential proteins in the bladder cancer samples was 325, 158 and 473, respectively. The differentially expressed proteins were mainly related to lipid metabolism and iron metabolism and were involved in the proliferation, metabolism and necrosis of bladder cancer cells. The AUC of the panel of APOL1 and ITIH3 was 0.96 in the discovery group. ELISA detection showed an AUC of 0.92 in the validation group. Conclusion: This study showed that urinary proteins can reflect the pathophysiological changes in bladder cancer and that important molecules can be used as biomarkers for bladder cancer screening. These findings will benefit the application of the urine proteome in clinical research.
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