Evidence map›Paper›PMID 25374924›Full record

ReviewAmerican journal of clinical and experimental urology2014

MicroRNAs as predictive biomarkers and therapeutic targets in prostate cancer.

Xin Wen, Fang-Ming Deng, Jinhua Wang

Open access · greenAbstract readReview
In one paragraph

Review in American journal of clinical and experimental urology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
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  6. Review
  7. MicroRNA-939 Directly TargetsOncoTargets and therapy · 2020
    Article
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  11. Review
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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 1 institution in 1 country.

Xin WenCenter for Health Informatics and Bioinformatics, New York University School of Medicine New York, NY 10016 ; Laura and Isaac Perlmutter Cancer Center, New York University School of Medicine New York, NY 10016.
Fang-Ming DengDepartment of Pathology, New York University School of Medicine New York, NY 10016.
Jinhua WangCenter for Health Informatics and Bioinformatics, New York University School of Medicine New York, NY 10016 ; Laura and Isaac Perlmutter Cancer Center, New York University School of Medicine New York, NY 10016 ; Department of Pediatrics, New York University School of Medicine New York, NY 10016.
New York University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostatectomy or irradiation is the most common traditional treatments for localized prostate cancer. In the event of recurrence and/or metastasis, androgen ablation therapy has been the mainstay treatment for many years. Although initially effective, the cancer inevitably recurs as androgen-independent PCa, a disease with limited effective treatments. Enhanced predictive biomarkers are needed at the time of diagnosis to better tailor therapies for patients. MicroRNAs are short nucleotide sequences which can complementary bind to and control gene expression at the post-transcriptional level. Recent studies have demonstrated that many miRNAs are variably expressed in cancers vs. normal tissues, including PCa. In this review, we summarize PCa-specific miRNAs that show potential for their utilization as identifiers of aggressive disease and predictors for risk of recurrence. Additionally, we discuss their potential clinical applications as biomarkers and therapeutic targets.

Indexed as

biomarkermiRNAprostate cancer

Identifiers

PMID25374924
PMCPMC4219315
OpenAlexW343738323

What OpenQuestion holds

Textmetadata
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.