Evidence map›Paper›PMID 39808845›Full record

ArticleTranslational oncology2025

Molecular profiling of bladder cancer xenografts defines relevant molecular subtypes and provides a resource for biomarker discovery.

Sharada Mokkapati, Ganiraju Manyam, Alexis R Steinmetz, Côme Tholomier, Alberto Martini, Woonyoung Choi, Bogdon Czerniak, Byron H Lee, Colin P Dinney, David J McConkey

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Sharada MokkapatiDepartment of Urology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. Electronic address: smokkapa@mdanderson.org.
Ganiraju ManyamDepartment of Urology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Alexis R SteinmetzDepartment of Urology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Côme TholomierDepartment of Urology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Alberto MartiniDepartment of Urology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Woonyoung ChoiJohns Hopkins Greenberg Bladder Cancer Institute, Brady Urological Institute, Johns Hopkins University, Baltimore, MD, USA.
Bogdon CzerniakDepartment of Urology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Byron H LeeDepartment of Urology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Colin P DinneyDepartment of Urology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
David J McConkeyJohns Hopkins Greenberg Bladder Cancer Institute, Brady Urological Institute, Johns Hopkins University, Baltimore, MD, USA. Electronic address: dmcconk1@jhmi.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

BasalBladder cancerLuminalMolecular subtypes of bladder cancerTranscriptomic classifier

Identifiers

PMID39808845
PMCPMC11782912

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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.