Evidence map›Paper›PMID 31966497›Full record

ArticleInternational journal of clinical and experimental pathology2017

miR-27b expression in diagnosis and evaluation prognosis of prostate cancer.

Tian Li, Xiangzhou Sun, Yifan Liu

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 52% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 1 country.

Tian LiDepartment of Urology, The Fifth Affiliated Hospital of Guangzhou Medical University Guangzhou 510700, Guangdong, China.
Xiangzhou SunDepartment of Urology, The First Affiliated Hospital of Sun Yat-sen University Guangzhou 510080, Guangdong, China.
Yifan LiuDepartment of Urology, The Fifth Affiliated Hospital of Guangzhou Medical University Guangzhou 510700, Guangdong, China.
Second Affiliated Hospital of Guangzhou Medical University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of study was to investigate the expression of microRNA-27b in different prostate tissues and its anti-tumor effects in prostate cancer.

methodsMeasuring the expression of microRNA-27b, evaluating the PI3K protein expression in 28 benign prostatic hyperplasia and 63 prostate cancer tissues, analyzing the correlation between miRNA-27b and PI3K, and miRNA-27b's correlation with Gleason Grading and clinical stages were analyzed. We divided the prostate cancer patients into two groups: low group and high group, comparing the overall survival and progression free survival. In the cell experiment, the PC3 was divided into three groups: NC group, BL group and miRNA group. The cells of difference groups were measuring the cell proliferation, apoptosis and cycle and evaluating PI3K, AKT and P21 protein expressions of difference groups.

resultsThe microRNA-27b expression of prostate cancer significantly increased Compared with benign prostatic hyperplasia (

conclusionsmiR-27b was up-regulated in prostate cancer tissue compared with benign prostatic hyperplasia tissues, and its expression level was correlated with a variety of important clinical pathological parameters. In the treatment of prostate cancer, miR-27b inhibition had effects to suppress prostate cancer proliferation by regulation PI3K/AKT/P21 signaling pathway. Moreover; miR-27b may serve as a promising biomarker for predicting the prognosis of prostate cancer.

Indexed as

BiomarkermiR-27bprognosisprostate cancer

Identifiers

PMID31966497
PMCPMC6966086
OpenAlexW3021637971

What OpenQuestion holds

Textmetadata
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Registered trials

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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.