Evidence map›Paper›PMID 39986827›Full record

ReviewUrologic oncology2025

Natural history of bladder cancer: Validation of the multiple pathway model in multi-omics era.

Stacy Bedore, Karina Aguilar, Vinata B Lokeshwar

Abstract readReview
In one paragraph

Review in Urologic oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Stacy BedoreDepartment of Biochemistry and Molecular Biology, Medical College of Georgia, Augusta University, Augusta, GA.
Karina AguilarDepartment of Biochemistry and Molecular Biology, Medical College of Georgia, Augusta University, Augusta, GA.
Vinata B LokeshwarDepartment of Biochemistry and Molecular Biology, Medical College of Georgia, Augusta University, Augusta, GA. Electronic address: vlokeshwar@augusta.edu.

Funding

Novel Biomarkers for the Clinical Management of Bladder CancerR01CA227277 · NCI · AUGUSTA UNIVERSITY · PI LOKESHWAR, VINATA B · 2018 to 2023
$2.2M
Biomarker guided combinations for treating high-risk bladder cancerR01CA283699 · NCI · AUGUSTA UNIVERSITY · PI Vinata B Lokeshwar · 2023 to 2026
$2.1M
NCI NIH HHS R01 CA227277NCI NIH HHS R01 CA283699
6 · The paper itself

Abstract

First recognized about 2 hundred years ago, bladder cancer has continued to challenge both clinicians and researchers due to its inherent heterogeneity in frequent recurrence and progression. Forty-three years ago, Droller proposed a multiple pathway model to explain the disparate clinical behaviors of low-grade and high-grade bladder tumors. The model suggested genetic alterations that promote hyperplasia generate low-grade papillary tumors that recur but do not metastasize. Separate genetic alterations promote dysplasia, and dysplastic-hyperplastic tumor cells generate high-grade tumors that may invade and metastasize. Initial preclinical studies to the current multi-omics approaches show that while high-grade tumors arise from KRT5+ stem cells in the basal layer of the urothelium, low-grade tumors arise from the more differentiated intermediate cell layer. Mutations in genes on chromosome 9p (e.g., CDKN2A/p16INK4a), 9q (e.g., PTCH1, TSC1), STAG2, KDM6A, FGFR3, RAS and PI3KCA characterize low-grade papillary tumors, and a hyperproliferative phenotype. Conversely, mutations in TP53, MDM2, PTEN, and genomic instability are prevalent in high-grade tumors, especially muscle-invasive bladder cancer. The development of molecular classification systems, including molecular subtypes, have further affirmed the multiple pathway model. These developments underpin hopes for the development of personalized cancer treatment.

Indexed as

Urinary Bladder NeoplasmsDisease ProgressionGenomicsHumansMultiomicsMutationBladder cancergenetic alterationsmolecular subtypeMultiple pathway model

Identifiers

PMID39986827
PMCPMC11850028

What OpenQuestion holds

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Registered trials

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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.