Evidence map›Paper›PMID 30806832›Full record

ReviewCurrent oncology reports2019

Clinical and Genomic Considerations for Variant Histology in Bladder Cancer.

Justin T Matulay, Vikram M Narayan, Ashish M Kamat

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current oncology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
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

17 citing papers in PubMed, 31 citations in OpenAlex.

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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 at 1 institution in 1 country.

Justin T MatulayDepartment of Urology, Division of Surgery, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 1373, Houston, TX, 77030, USA.
Vikram M NarayanDepartment of Urology, Division of Surgery, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 1373, Houston, TX, 77030, USA.
Ashish M KamatDepartment of Urology, Division of Surgery, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 1373, Houston, TX, 77030, USA. akamat@mdanderson.org.
The University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewUrothelial carcinoma demonstrates remarkable plasticity in its ability to differentiate into divergent histologic subtypes in both a pure and mixed form. This review presents the most current data pertaining to bladder cancer with variant histology. RECENT

findingsRecognition of bladder cancer variants has increased profoundly in the past two decades with their inclusion in the pathologic guidelines and increased awareness among pathologists and urologists. Most of the available literature consists of small single-institutional studies, but there is compelling evidence to support deviation from the normal urothelial carcinoma management pathways for certain subtypes. While traditionally diagnosed by microscopic appearance, next-generation sequencing and molecular profiling have enabled identification of genomic markers associated with specific variants that exist in tumors lacking classic histologic hallmarks. This genomic information holds promise for predicting response to specific treatments or even in the development of novel targeted therapies. Combining increased awareness of variant histology, its impact on clinical outcomes, and genomic data will result in a more nuanced treatment approach to reduce morbidity and optimize oncologic outcomes for our patients.

Indexed as

Genetic VariationBiomarkers, TumorGenetic HeterogeneityGenomicsHumansPathology, ClinicalUrinary Bladder NeoplasmsBiomarkers, TumorBladder cancerMolecular profilingVariant histology

Identifiers

PMID30806832
OpenAlexW2917350005

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.