Evidence map›Paper›PMID 25606575›Full record

ReviewAmerican journal of clinical and experimental urology2014

Emerging players in prostate cancer: long non-coding RNAs.

Tong Sun, Huihui Ye, Chin-Lee Wu, Gwo-Shu Mary Lee, Philip W Kantoff

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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Tong SunDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School USA.
Huihui YeDepartment of Pathology, Beth-Israel Deaconess Medical Center, Harvard Medical School USA.
Chin-Lee WuDepartment of Pathology, Massachusetts General Hospital, Harvard Medical School USA.
Gwo-Shu Mary LeeDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School USA.
Philip W KantoffDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School USA.
Dana-Farber Cancer Institute · USBeth Israel Deaconess Medical Center · USMassachusetts General Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent observations of novel long non-coding RNAs (lncRNAs) have considerably altered our understanding of cell biology. The role of lncRNAs as tumor suppressors or oncogenes has been extensively studied. Over-expression of oncogenic lncRNAs promotes tumor-cell proliferation and metastasis through chromatin looping and distal engagement with the androgen receptor, anti-sense gene regulation, alternative splicing, and impeding DNA repair. Prostate cancer is the most common type of cancer and frequent cause of cancer-related mortality in men worldwide. Unraveling the molecular and biological processes that contribute to prostate cancer development and progression is a challenging task. In prostate cancer, aberrant expression of lncRNAs has been associated with disease progression. In this review, we highlight the emerging impact of lncRNAs in prostate cancer research, with a particular focus on the mechanisms and functions of lncRNAs. Increased research on lncRNAs will lead to a greater understanding of prostate cancercinogenesis and progression and may lead to novel clinical applications. LncRNAs have great potential to become new biomarkers for detection, prognostication and prediction in prostate cancer.

Indexed as

lncRNAsLong non-coding RNAsprostate cancer

Identifiers

PMID25606575
PMCPMC4297325
OpenAlexW105457263

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.