ArticleTranslational oncology2025
Molecular profiling of bladder cancer xenografts defines relevant molecular subtypes and provides a resource for biomarker discovery.
Article in Translational oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Construction of a gene-metabolite-microbiome regulatory network reveals novel therapeutic targets in bladder cancer through multi-omics analysis.Annals of medicine · 2025Article
- Clinical relevance of Nectin-4 downregulation and biological changes caused by cytotoxic chemotherapy in bladder cancer.Cancer chemotherapy and pharmacology · 2025Article
- LLM-BCgrading: Large language model-based Chinese medical long text classification for bladder cancer grade prediction.Digital healthArticle
- Orthotopic bladder cancer preclinical models: Comprehensive review and technique optimization.Bladder cancer (Amsterdam, Netherlands)Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bladder cancer (BLCA) genomic profiling has identified molecular subtypes with distinct clinical characteristics and variable sensitivities to frontline therapy. BLCAs can be categorized into luminal or basal subtypes based on their gene expression. We comprehensively characterized nine human BLCA cell lines (UC3, UC6, UC9, UC13, UC14, T24, SCaBER, RT4V6 and RT112) into molecular subtypes using orthotopic xenograft models. Patient-derived, luciferase-tagged BLCA cell lines were cultured in vitro and engrafted into bladders of NSG mice. Tumor growth was monitored using bioluminescence imaging and mRNA-based molecular classification was used to characterize xenografts into molecular subtypes. RNAseq analysis and basal, luminal, and epithelial-mesenchymal transition (EMT) marker expression revealed distinct patterns; certain cell lines expressed predominantly basal or luminal markers while others demonstrated mixed expression. SCaBER expressed high basal and EMT markers and low luminal markers, consistent with a true basal cell. RT4V6 was a true luminal cell line, displaying only high luminal makers. UC13, T24 and UC3 only showed increased expression of EMT markers. RT112, UC6, UC9 and UC14 expressed basal, luminal, and EMT markers. Immunohistochemical analysis validated our findings. Ki67 was assessed as a continuous percentage of positively stained cells. Morphological assessment of xenografts included H&E and α-SMA staining. These findings will allow for the rational use of appropriate models to develop targeted therapies to overcome or manipulate mechanisms of treatment resistance in BLCA.
Indexed as
Identifiers
What OpenQuestion holds
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.