ArticleNature communications2024
Proteomic analysis of the urothelial cancer landscape.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Identification of key molecules and pathways in CaOx crystal-induced renal injury based on metabolomics and proteomics.International urology and nephrology · 2026Article
- 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
- Multi-omic profiling defines three distinct molecular subtypes of urothelial carcinoma with implications for precision therapy.Clinical and translational medicine · 2026Article
- Identification of a Muscle-Invasive Bladder Carcinoma Molecular Subtype of Poor Responders to Neoadjuvant Chemotherapy and High Expression of Targetable Biomarkers.International journal of molecular sciences · 2026Article
- Proteomic and In Silico Analyses Highlight Complement System's Role in Bladder Cancer Immune Regulation.Medicina (Kaunas, Lithuania) · 2025Article
- Article
- Proteomic analysis of the urothelial cancer landscape.Nature communications · 2024Article
- Deciphering the molecular heterogeneity of intermediate- and (very-)high-risk non-muscle-invasive bladder cancer using multi-layeredFrontiers in oncology · 2024Article
- EpCAM tumor specificity and proteoform patterns in urothelial cancer.Journal of cancer research and clinical oncology · 2023Article
Corrections and comments
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Authors and funding
25 authors.
Funding
Abstract
Urothelial bladder cancer (UC) has a wide tumor biological spectrum with challenging prognostic stratification and relevant therapy-associated morbidity. Most molecular classifications relate only indirectly to the therapeutically relevant protein level. We improve the pre-analytics of clinical samples for proteome analyses and characterize a cohort of 434 samples with 242 tumors and 192 paired normal mucosae covering the full range of UC. We evaluate sample-wise tumor specificity and rank biomarkers by target relevance. We identify robust proteomic subtypes with prognostic information independent from histopathological groups. In silico drug prediction suggests efficacy of several compounds hitherto not in clinical use. Both in silico and in vitro data indicate predictive value of the proteomic clusters for these drugs. We underline that proteomics is relevant for personalized oncology and provide abundance and tumor specificity data for a large part of the UC proteome ( www.cancerproteins.org ).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.