Evidence map›Paper›PMID 30324582›Full record

ArticleInternational urology and nephrology2018

Five microRNAs in serum as potential biomarkers for prostate cancer risk assessment and therapeutic intervention.

Xiaogang Guo, Tao Han, Pingping Hu, Xiaojun Guo, Changming Zhu, Youbao Wang, Shaoyan Chang

Open access · hybridAbstract read
In one paragraph

Article in International urology and nephrology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 17% 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, 1 synthesis or guideline pooled it, 40 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

7 authors at 3 institutions in 1 country.

Xiaogang GuoUrology Department of Urology, Haici Medical Group of Qingdao, Qingdao, Shandong, China.
Tao HanUrology Department of Urology, Haici Medical Group of Qingdao, Qingdao, Shandong, China.
Pingping HuDepartment of Cardiology, Jimo People's Hospital, Qingdao, Shandong, China.
Xiaojun GuoUrology Department of Urology, Haici Medical Group of Qingdao, Qingdao, Shandong, China.
Changming ZhuUrology Department of Urology, Haici Medical Group of Qingdao, Qingdao, Shandong, China.
Youbao WangUrology Department of Urology, Haici Medical Group of Qingdao, Qingdao, Shandong, China.
Shaoyan ChangBeijing Municipal Key Laboratory of Child Development and Nutriomics, Capital Institute of Pediatrics, Beijing, China. changsyan_2001@163.com.
Haier Group (China) · CNCapital Institute of Pediatrics · CNJimo District Qingdao Hospital of Traditional Chinese Medicine · CN

Funding

Qingdao Science and Technology Bureau 15-9-2-67-nsh
6 · The paper itself

Abstract

backgroundProstate cancer (PCa) is a common malignant human tumor and one of the main causes of cancer-related deaths in men. At present, prostate-specific antigen levels are widely used to diagnose PCa in the clinic, but they are not sufficient for an accurate early diagnosis or prognosis.

methodsTo identify potential molecular markers for PCa, we used real-time PCR to measure the expression levels of various microRNAs, including miR-1825, miR-484, miR-205, miR-141, and let-7b, in the serum of 72 PCa patients and 34 healthy controls.

resultsmiR-1825, miR-484, miR-205, miR-141, and let-7b were shown to be highly specific for PCa, suggesting that they could be used as PCa tumor screening biomarkers. miR-205 may also be used as a biomarker for indicating bone metastasis in PCa patients, miR-1825 levels may help indicate tumor-node-metastasis classification, the evaluation of treatment effects, and determining prognosis, while let-7b levels may indicate potential tumor malignancy and the hormone resistance status and could be used as a basis to adjust individual treatments for the high-risk, early diagnosis of refractory PCa.

conclusionThis study identified possible PCa tumor markers to more accurately predict the occurrence, progression, and prognosis of PCa, and which could be used in the development of tumor drug therapy.

Indexed as

AgedBiomarkers, TumorBone NeoplasmsCase-Control StudiesHumansLymphatic MetastasisMaleMicroRNAsNeoplasm StagingPrognosisProstate-Specific AntigenProstatic NeoplasmsROC CurveTreatment OutcomeBiomarkers, TumorMicroRNAsMIR205, humanMIRN141 microRNA, humanMIRN1825 microRNA, humanMIRN484 microRNA, humanmirnlet7 microRNA, humanProstate-Specific AntigenLet-7bMiR-141MiR-1825MiR-205MiR-484Prostate cancer

Identifiers

PMID30324582
PMCPMC6267169
OpenAlexW2897336060

What OpenQuestion holds

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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.