Evidence map›Paper›PMID 25990459›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2015

MicroRNA expression profiles in muscle-invasive bladder cancer: identification of a four-microRNA signature associated with patient survival.

Zheng Xu, Yan-Qiu Yu, Yu-Zheng Ge, Jia-Geng Zhu, Meng Zhu, You-Cai Zhao, Lu-Wei Xu, Xiao-Bing Yang, Li-Guo Geng, Quan-Liang Dou and 1 more

Abstract read
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In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
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  12. AJournal of Cancer · 2017
    Article
  13. Article
  14. Evaluation of MicroRNA-99a and MicroRNA-205 Expression Levels in Bladder Cancer.International journal of molecular and cellular medicine · 2017
    Article
  15. Article
  16. Article
  17. Comprehensive investigation of aberrant microRNA profiling in bladder cancer tissues.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  18. Article
  19. The role of microRNAs in bladder cancer.Investigative and clinical urology · 2016
    Review
  20. 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

11 authors at 1 institution in 1 country.

Zheng XuDepartment of Urology, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing, 210006, China.
Yan-Qiu YuDepartment of Gastroenterology, The Affiliated Jiangning Hospital of Nanjing Medical University, 168 Gushan Road, Nanjing, 211100, China.
Yu-Zheng GeDepartment of Urology, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing, 210006, China.
Jia-Geng ZhuDepartment of Urology, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing, 210006, China.
Meng ZhuDepartment of Epidemiology and Biostatistics and Ministry of Education Key Laboratory for Modern Toxicology, School of Public Health, Nanjing Medical University, 140 Hanzhong Road, Nanjing, 210029, China.
You-Cai ZhaoDepartment of Pathology, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing, 210006, China.
Lu-Wei XuDepartment of Urology, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing, 210006, China.
Xiao-Bing YangDepartment of Pathology, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing, 210006, China.
Li-Guo GengDepartment of Epidemiology and Biostatistics and Ministry of Education Key Laboratory for Modern Toxicology, School of Public Health, Nanjing Medical University, 140 Hanzhong Road, Nanjing, 210029, China.
Quan-Liang DouDepartment of Urology, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing, 210006, China.
Rui-Peng JiaDepartment of Urology, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing, 210006, China. urojiarp@126.com.
Nanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bladder cancer ranks the second most common genitourinary tract cancer, and muscle-invasive bladder cancer (MIBC) accounts for approximately 25 % of all bladder cancer cases with high mortality. In the current study, with a total of 202 treatment-naïve primary MIBC patients identified from The Cancer Genome Atlas dataset, we comprehensively analyzed the genome-wide microRNA (miRNA) expression profiles in MIBC, with the aim to investigate the relationship of miRNA expression with the progression and prognosis of MIBC, and generate a miRNA signature of prognostic capabilities. In the progression-related miRNA profiles, a total of 47, 16, 3, and 84 miRNAs were selected for pathologic T, N, M, and histologic grade, respectively. Of the eight most important progression-related miRNAs, four (let-7c, mir-125b-1, mir-193a, and mir-99a) were significantly associated with survival of patients with MIBC. Finally, a four-miRNA signature was generated and proven as a promising prognostic parameter. In summary, this study identified the specific miRNAs associated with the progression and aggressiveness of MIBC and a four-miRNA signature as a promising prognostic parameter of MIBC.

Indexed as

Gene Expression Regulation, NeoplasticAgedBiomarkers, TumorCarcinoma, PapillaryDisease ProgressionFemaleFollow-Up StudiesGene Expression ProfilingHumansMaleMicroRNAsMiddle AgedMuscle NeoplasmsNeoplasm GradingNeoplasm InvasivenessNeoplasm StagingBiomarkers, TumorMicroRNAsBiomarkermicroRNAMuscle-invasive bladder cancerPrognosis

Identifiers

PMID25990459
OpenAlexW249494374

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.