Evidence map›Paper›PMID 28928837›Full record

ArticleOncology letters2017

Independent prognostic miRNAs for bladder urothelial carcinoma.

Yingbo Hu, Cheng Cheng, Zhengdong Hong, Ziming Shi

Abstract read
In one paragraph

Article in Oncology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. MicroRNAs: Key Players in Bladder Cancer.Molecular diagnosis & therapy · 2019
    Review
  5. Article
  6. 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

4 authors.

Yingbo HuDepartment of Urology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China.
Cheng ChengDepartment of Urology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China.
Zhengdong HongDepartment of Urology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China.
Ziming ShiDepartment of Urology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bladder cancer is the most common malignant tumor of the urinary system, and it is also an important cause of death by cancer globally. Increasing number of studies have shown that miRNAs can be used as prognostic markers for cancers. This study made use of the data available in the Cancer Genome Atlas in order to statistically analyze reported expression levels of miRNAs in samples from bladder urothelial carcinoma patients. Clinical features from a total of 399 patients and the expression data for 1,581 kinds of miRNA were included in the study. Single factor Cox regression analysis was used to identify miRNAs related to survival times for the patients. Then, through multifactors Cox regression we sorted out the independent prognostic miRNAs for the carcinoma. According to our results, 19 miRNAs were closely related to the survival times of patients with bladder urothelial carcinoma, and 3 miRNAs including hsa-mir-518b (p=0.02), hsa-mir-192 (p=0.04) and hsa-mir-7705 (p=0.04) should be useful as independent prognostic factors in patients. In addition, the survival time of those expressing high levels of hsa-mir-7705 and hsa-mir-192 was less than the survival time of those with low expression levels. However, there were no obvious differences in the survival times between high and low expressors of hsa-mir-518b. According to our results, hsa-mir-7705, hsa-mir-192 and hsa-mir-518b can be applied as independent prognostic markers for bladder urothelial carcinoma.

Indexed as

bladder urothelial carcinomacancermiRNAsprognostic markersThe Cancer Genome Atlas

Identifiers

PMID28928837
PMCPMC5588142

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.