Evidence map›Paper›PMID 28272371›Full record

ReviewInternational journal of environmental research and public health2017

Long Non-Coding RNA as Potential Biomarker for Prostate Cancer: Is It Making a Difference?

Junli Deng, Jie Tang, Guo Wang, Yuan-Shan Zhu

Open access · goldAbstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

22 citing papers in PubMed, 45 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

4 authors at 2 institutions in 2 countries.

Junli DengDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410008, China. 147311014@csu.edu.cn.
Jie TangDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410008, China. jietang@csu.edu.cn.
Guo WangDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410008, China. 207082@csu.edu.cn.
Yuan-Shan ZhuDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410008, China. yuz2002@med.cornell.edu.
Central South University · CNXiangya Hospital Central South University · CN

Funding

Institutional Career Development CoreKL2TR002385 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI YUAN-SHAN ZHU · 2017 to 2026
$13.3M
NCATS NIH HHS KL2 TR002385
6 · The paper itself

Abstract

Whole genome transcriptomic analyses have identified numerous long non-coding RNA (lncRNA) transcripts that are increasingly implicated in cancer biology. LncRNAs are found to promote essential cancer cell functions such as proliferation, invasion, and metastasis, with the potential to serve as novel biomarkers of various cancers and to further reveal uncharacterized aspects of tumor biology. However, the biological and molecular mechanisms as well as the clinical applications of lncRNAs in diverse diseases are not completely understood, and remain to be fully explored. LncRNAs may be critical players and regulators in prostate cancer carcinogenesis and progression, and could serve as potential biomarkers for prostate cancer. This review focuses on lncRNA biomarkers that are already available for clinical use and provides an overview of lncRNA biomarkers that are under investigation for clinical development in prostate cancer.

Indexed as

Biomarkers, TumorDisease ProgressionHumansMaleProstatic NeoplasmsRNA, Long NoncodingBiomarkers, TumorRNA, Long NoncodingbiomarkerslncRNAsPCA3prostate cancer

Identifiers

PMID28272371
PMCPMC5369106
OpenAlexW2594100525

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.