Evidence map›Paper›PMID 29520382›Full record

ReviewInvestigative and clinical urology2018

Unmasking molecular profiles of bladder cancer.

Xuan-Mei Piao, Young Joon Byun, Wun-Jae Kim, Jayoung Kim

Abstract readReview
In one paragraph

Review in Investigative and clinical urology, 2018. 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
–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

17 citing papers in PubMed.

  1. Review
  2. Article
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  4. Review
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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

4 authors.

Xuan-Mei PiaoDepartment of Urology, Chungbuk National University College of Medicine, Cheongju, Korea.
Young Joon ByunDepartment of Urology, Chungbuk National University College of Medicine, Cheongju, Korea.
Wun-Jae KimDepartment of Urology, Chungbuk National University College of Medicine, Cheongju, Korea.
Jayoung KimDepartments of Surgery and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.ORCID 0000-0002-3683-4627

Funding

The Epidemiology of Interstitial Cystitis in a Nationwide Multiethnic VA CohortU01DP006079 · DP · CEDARS-SINAI MEDICAL CENTER · PI ANGER, JENNIFER TASH, FREEDLAND, STEPHEN JAY · 2015 to 2019
$3.8M
Microbiome and Proteome As Predictive Biomarkers of UCPPSU01DK103260 · NIDDK · CEDARS-SINAI MEDICAL CENTER · PI ANGER, JENNIFER TASH, FREEMAN, MICHAEL R · 2014 to 2018
$1.2M
NCCDPHP CDC HHS U01 DP006079NIDDK NIH HHS U01 DK103260
6 · The paper itself

Abstract

Precision medicine is designed to tailor treatments for individual patients by factoring in each person's specific biology and mechanism of disease. This paradigm shifted from a "one size fits all" approach to "personalized and precision care" requires multiple layers of molecular profiling of biomarkers for accurate diagnosis and prediction of treatment responses. Intensive studies are also being performed to understand the complex and dynamic molecular profiles of bladder cancer. These efforts involve looking bladder cancer mechanism at the multiple levels of the genome, epigenome, transcriptome, proteome, lipidome, metabolome etc. The aim of this short review is to outline the current technologies being used to investigate molecular profiles and discuss biomarker candidates that have been investigated as possible diagnostic and prognostic indicators of bladder cancer.

Indexed as

Gene Expression ProfilingPrecision MedicineUrinary Bladder NeoplasmsEpigenomicsGenetic Predisposition to DiseaseHumansPrognosisBiomarkersLiquid biopsyPrecision medicineUrinary bladder neoplasms

Identifiers

PMID29520382
PMCPMC5840121

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.