Evidence map›Paper›PMID 29285271›Full record

ArticleOncotarget2017

Identification of a three miRNA signature as a novel potential prognostic biomarker in patients with bladder cancer.

Fei Peng, Hui Li, Hailang Xiao, Ling Li, Yan Li, Yi Wu

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Small Nucleolar RNAs (snoRNAs)-Based Risk Score Classifier Predicts Overall Survival in Bladder Carcinoma.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
  5. Article
  6. Article
  7. MicroRNAs: Key Players in Bladder Cancer.Molecular diagnosis & therapy · 2019
    Review
  8. Review
  9. Article
  10. Article
  11. 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

6 authors.

Fei Peng *Department of Laboratory, The First Affiliated Hospital of Hunan Normal University, Hunan Provincial People's Hospital, Changsha, China.
Hui Li *Reproductive Department, Xiangya Hospital, Central South University, Changsha, China.
Hailang XiaoNephrology Department, The First Affiliated Hospital of Hunan Normal University, Hunan Provincial People's Hospital, Changsha, China.
Ling LiNephrology Department, The First Affiliated Hospital of Hunan Normal University, Hunan Provincial People's Hospital, Changsha, China.
Yan LiDepartment of Paediatrics, The First Affiliated Hospital of Hunan Normal University, Hunan Provincial People's Hospital, Changsha, China.
Yi WuDepartment of Laboratory, The First Affiliated Hospital of Hunan Normal University, Hunan Provincial People's Hospital, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is not a good biomaker that is closely related to survival time for bladder cancer(BLCA), The aim of the study is to identify a miRNA signature that could predict prognosis in BLCA patients according to the data from The Cancer Genome Atlas (TCGA). a total of 377 BLCA patients were finally enrolled in the study. The three miRNA signature was identified by Multivariate Cox proportional hazards analyses that common clinical variables were controled. The three microRNA signature showed greater predicting prognosis capacity for predicting 5-year survival in BLCA with an AUC of 0.664, 0.681 and 0.668 in Train set, Test set and Total set respectively. Furthermore, there was a significant difference between high score and low score in Total set(P=3e-05), Test set(P=0.00435) and Train set(P=0.00143), respectively. Therefore, these results provided a new prospect for prognostic biomarker of BLCA.

Indexed as

biomarkerBLCAmiRNAprognosisTCGA

Identifiers

PMID29285271
PMCPMC5739658

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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.