Evidence map›Paper›PMID 31092337›Full record

ArticleEuropean urology2019

Molecular Subtyping of Clinically Localized Urothelial Carcinoma Reveals Lower Rates of Pathological Upstaging at Radical Cystectomy Among Luminal Tumors.

Yair Lotan, Stephen A Boorjian, Jingbin Zhang, Trinity J Bivalacqua, Sima P Porten, Thomas Wheeler, Seth P Lerner, Ryan Hutchinson, Franto Francis, Elai Davicioni and 4 more

Abstract read
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In one paragraph

Article in European urology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Trial
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  5. Article
  6. Review
  7. KLRF1, a novel marker of CD56Cancer medicine · 2023
    Article
  8. Article
  9. Article
  10. Article
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  12. Immunohistochemical Assays for Bladder Cancer Molecular Subtyping: Optimizing Parsimony and Performance of Lund Taxonomy Classifiers.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2022
    Article
  13. Article
  14. Review
  15. Heterogeneity inClinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Article
  16. Article
  17. Review
  18. Article
  19. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Yair LotanDepartment of Urology, University of Texas Southwestern Medical Center, Dallas, TX, USA. Electronic address: yair.lotan@utsouthwestern.edu.
Stephen A BoorjianMayo Clinic, Rochester, MN, USA.
Jingbin ZhangGenomeDx Inc, Vancouver, BC, Canada.
Trinity J BivalacquaJohn Hopkins Medical Institute, Baltimore, MD, USA.
Sima P PortenUniversity of California San Francisco, San Francisco, CA, USA.
Thomas WheelerBaylor College of Medicine, Houston, TX, USA.
Seth P LernerBaylor College of Medicine, Houston, TX, USA.
Ryan HutchinsonDepartment of Urology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Franto FrancisDepartment of Urology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Elai DavicioniGenomeDx Inc, Vancouver, BC, Canada.
Robert S SvatekUniversity of Texas Health San Antonio, San Antonio, TX, USA.
Chun-Liang ChenUniversity of Texas Health San Antonio, San Antonio, TX, USA.
Peter C BlackVancouver Prostate Centre, University of British Columbia, Vancouver, BC, USA.
Ewan A GibbGenomeDx Inc, Vancouver, BC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUpstaging of clinical T1-T2 urothelial carcinoma (UC) to non-organ-confined (NOC) pathological stage ≥T3 or N+ at radical cystectomy (RC) is common. Tools for stratifying patients who may have NOC disease are limited.

objectiveTo determine an association of a genomic subtyping classifier (GSC) with pathological upstaging in multi-institutional cohort of patients with cT1-T2 UC treated with RC. DESIGN, SETTING, AND

participantsPrecystectomy transurethral specimens from 206 patients with high-grade, cT1-T2, N0M0 UC, who underwent RC without neoadjuvant chemotherapy, underwent GSC testing. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Uni- and multivariable logistic regression analyses evaluated GSC for upstaging, defined as pT3/T4 and/or pTanyN1-3 disease at RC. RESULTS AND LIMITATIONS: Pathological upstaging occurred in 23% of cT1 and 57% of cT2 cases. Lower rates of upstaging to NOC was seen for luminal versus nonluminal tumors (34% vs 51%, p=0.02). The differences in upstaging were confined to T stage, with no difference in node positivity for luminal versus nonluminal patients (cT1: 13% for both [p>0.9], cT2: 15% and 23% [p=0.6], respectively). Fewer patients with luminal tumors were upstaged to ≥pT3Nany compared with nonluminal tumors (Mantel-Haenszel p=0.002; cT1: 13% vs 30%, cT2: 34% vs 58%). On multivariable logistic regression analysis, nonluminal patients were more likely to be upstaged to ≥pT3 at RC (p<0.001). Limitations include retrospective design and sample size.

conclusionsMolecular subtyping of clinically localized UC demonstrated that luminal tumors have lower rates of upstaging to non-organ-confined disease compared with nonluminal tumors. If validated, these data can help inform which patients may need multimodal therapy. PATIENT SUMMARY: Determining whether bladder cancer has spread beyond the bladder is challenging at diagnosis. In this paper, genomics helped identify patients who were more likely to have aggressive disease that has spread outside the bladder. These patients may benefit from chemotherapy prior to surgery.

Indexed as

AgedCarcinoma, Transitional CellCystectomyFemaleGenomicsHumansLymphatic MetastasisMaleMiddle AgedNeoplasm GradingNeoplasm StagingRetrospective StudiesTranscriptomeUrinary Bladder NeoplasmsBladder cancerClinical stagingGene expression analysisMolecular subtypes

Identifiers

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Registered trials

None linked

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.