Evidence map›Paper›PMID 23173870›Full record

ArticleDiagnostic pathology2012

Reduced expression of microRNA-100 confers unfavorable prognosis in patients with bladder cancer.

Sheng Wang, Sheng Xue, Yuanqing Dai, Jianfu Yang, Zhijun Chen, Xiwu Fang, Wensheng Zhou, Wei Wu, Qingwen Li

Open access · goldAbstract read
In one paragraph

Article in Diagnostic pathology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 10% 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Prognostic role of microRNA-100 in various carcinomas: evidence from six studies.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  3. Review
  4. Article
  5. MicroRNAs: The Link between the Metabolic Syndrome and Oncogenesis.International journal of molecular sciences · 2021
    Review
  6. Article
  7. MicroRNAs: Key Players in Bladder Cancer.Molecular diagnosis & therapy · 2019
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. MicroRNA-148a represents an independent prognostic marker in bladder cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  16. The role of microRNAs in bladder cancer.Investigative and clinical urology · 2016
    Review
  17. Article
  18. Article
  19. Article
  20. Potential role of miR-100 in cancer diagnosis, prognosis, and therapy.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Review
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

9 authors at 4 institutions in 1 country.

Sheng WangDepartment of Urology, the First Affiliated Hospital, Bengbu Medical College, Bengbu 233030, People's Republic of China. wangshenganhui@126.com
Sheng Xue
Yuanqing Dai
Jianfu Yang
Zhijun Chen
Xiwu Fang
Wensheng Zhou
Wei Wu
Qingwen Li
Bengbu Medical College · CNCentral South University · CNFirst Affiliated Hospital of Bengbu Medical College · CNXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMicroRNA-100 (miR-100) has been demonstrated to be downregulated in bladder cancer tissues, and enforced expression of this miRNA may inhibit cell growth and colony formation of human bladder cancer 5637 cells in vitro. However, the clinical significance of miR-100 in human bladder cancer has not yet been elucidated. Thus, the aim of this study was to investigate the diagnostic and prognostic values of miR-100 in this disease.

methodsExpression levels of miR-100 in 126 pairs of bladder cancer and adjacent normal tissues were detected by TaqMan real-time quantitative RT-PCR assay. In order to determine its prognostic value, overall survival (OS) and progression-free survival (PFS) were evaluated using the Kaplan-Meier method, and multivariate analysis was performed using the Cox proportional hazard analysis.

resultsExpression levels of miR-100 in bladder cancer tissues were significantly lower than those in adjacent normal tissues (mean expression level: 2.6 ± 1.2 vs. 3.9 ± 1.5, P < 0.001). When categorized into low vs. high expression, low miR-100 expression was negatively associated with the stage (P = 0.01), the recurrence (P = 0.008), the progression (P = 0.01), and the death (P < 0.001) of patients with bladder cancer. Moreover, low miR-100 expression clearly predicted poorer PFS (P = 0.001) and OS (P < 0.001). In the multivariate analysis, low miR-100 expression was an independent prognostic factor for both PFS (P = 0.01) and OS (P = 0.008).

conclusionOur data offer the convincing evidence that miR-100 may play an important role in the progression of bladder cancer and that the reduced expression of this miRNA may be independently associated with shorter PFS and OS of patients, suggesting that miR-100 might be a potential marker for further risk stratification in the treatment of this cancer. VIRTUAL SLIDES: The virtual slides' for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1105483419841671.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorChi-Square DistributionDisease-Free SurvivalDown-RegulationFemaleHumansKaplan-Meier EstimateMaleMicroRNAsMiddle AgedMultivariate AnalysisNeoplasm Recurrence, LocalNeoplasm StagingBiomarkers, TumorMicroRNAsMIRN100 microRNA, human

Identifiers

PMID23173870
PMCPMC3539897
OpenAlexW1988124891

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.