Evidence map›Paper›PMID 30081681›Full record

ReviewExpert review of anticancer therapy2018

The clinical applications of The Cancer Genome Atlas project for bladder cancer.

Chad J Creighton

Abstract readReview
In one paragraph

Review in Expert review of anticancer therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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

1 author.

Chad J Creightona Dan L. Duncan Comprehensive Cancer Center Division of Biostatistics , Baylor College of Medicine , Houston , TX , USA.

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI DAVID R ROWLEY · 2007 to 2026
$73.9M
NCI NIH HHS P30 CA125123
6 · The paper itself

Abstract

introductionKnowledge of the molecular subtypes of bladder cancer enables powerful generalizations involving the distinctive biology and pathways driving different disease subsets. Areas covered: In this review, we summarize the findings of a number of published studies exploring the molecular landscape of bladder cancer by analysis of genomic data from The Cancer Genome Atlas (TCGA). TCGA project has provided a comprehensive data resource of 412 muscle-invasive bladder cancers as characterized by multiple molecular analytical platforms. These data have been and will continue to be utilized in numerous subsequent studies aimed at better understanding the molecular basis of bladder cancer. The catalog of DNA-level alterations can greatly inform personalized and precision medicine approaches. Molecular subtypes of bladder cancer include distinct 'basal/squamous' and 'luminal' subtypes, cancers with papillary histology, disease subsets with prominent leukocyte infiltration and immune checkpoint marker expression, and a 'neuronal' subtype lacking small cell or neuroendocrine histology. The gene-level alterations and subtypes as revealed by TCGA data are relevant from the standpoint of both basic biology and clinical trial studies. Expert commentary: Multiple studies analyzing TCGA muscle-invasive bladder cancer cases point to the existence of five major expression-based molecular subtypes of the disease, with these subtypes having therapeutic implications.

Indexed as

Genome, HumanGene Expression Regulation, NeoplasticGenomicsHumansPrecision MedicineUrinary Bladder Neoplasmsbladder cancergenomicsmolecular subtypespan-cancer analysisTCGA

Identifiers

PMID30081681
PMCPMC6295312

What OpenQuestion holds

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Read underepoch 390

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.