Evidence map›Paper›PMID 29226853›Full record

ArticleCancer biomarkers : section A of Disease markers2018

Clinical and RNA expression integrated signature for urothelial bladder cancer prognosis.

Jie Xiong, Ke Xiong, Zhitong Bing

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Prognostic gene biomarker identification in liver cancer by data mining.American journal of translational research · 2021
    Article
  4. Article
  5. 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

3 authors at 3 institutions in 1 country.

Jie XiongDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Ke XiongSchool of Medicine, Tongji University, Shanghai, China.
Zhitong BingDepartment of Computational Physics, Institute of Modern Physics of Chinese Academy of Sciences, Lanzhou, Gansu, China.
Central South University · CNInstitute of Modern Physics · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccumulating evidence shows that clinical factors alone are not adequate for predicting the survival of patients with urothelial bladder cancer (UBC), and many genes have been found to be associated with UBC prognosis. PURPOSE: The objective of this study is to develop a signature which integrates clinical and molecular information to predict the overall survival of UBC patients more accurate. MATERIALS AND

methodsWe integrated messenger RNA (mRNA) and microRNA (miRNA) expression profiles and the corresponding clinical data of 402 UBC patients and 19 normal controls from The Cancer Genome Atlas. Univariate Cox regression followed by a multiple testing correction and an elastic net-regulated Cox regression were adopted to identify a prognostic signature.

resultsWe generated an integrated clinical-RNA signature which consisting of 3 clinical variables, 3 protective mRNAs, 7 risky mRNAs, 2 protective miRNAs and 1 risky miRNA. The area under the receiver operating characteristic curve of the integrated clinical-RNA signature was 0.802, larger than that of the clinical-alone signature (0.709) or the RNA-alone signature (0.726). UBC patients in the high-risk group had a significantly shorter overall survival time compared with patients in the low-risk group (clinical-RNA signature, hazard ratio = 2.441).

conclusionsOur conclusions that we have identified an integrated clinical-RNA signature that was superior to the traditional clinical-alone signature for ascertaining the overall survival prognosis of patients with UBC. These findings provide some novel genes for tumor molecular biologist to further study their functions and mechanisms in UBC tumorigenesis and malignance, and may be useful for effective clinical risk management of UBC patients.

Indexed as

Biomarkers, TumorTranscriptomeAgedAged, 80 and overCase-Control StudiesComputational BiologyDatabases, GeneticFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene OntologyHumansKaplan-Meier EstimateMaleMicroRNAsMiddle AgedBiomarkers, TumorMicroRNAsRNA, MessengerclinicalprognosisRNAsignatureUrothelial bladder cancer

Identifiers

PMID29226853
PMCPMC13078296
OpenAlexW2771126532

What OpenQuestion holds

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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.