Evidence map›Paper›PMID 30365107›Full record

ArticleMolecular medicine reports2018

Exploration of the diagnostic value and molecular mechanism of miR‑1 in prostate cancer: A study based on meta‑analyses and bioinformatics.

Zu-Cheng Xie, Jia-Cheng Huang, Li-Jie Zhang, Bin-Liang Gan, Dong-Yue Wen, Gang Chen, Sheng-Hua Li, Hai-Biao Yan

Open access · bronzeAbstract read
In one paragraph

Article in Molecular medicine reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

11 citing papers in PubMed, 19 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

8 authors at 2 institutions in 1 country.

Zu-Cheng XieDepartment of Urological Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China.
Jia-Cheng HuangDepartment of Urological Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China.
Li-Jie ZhangDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China.
Bin-Liang GanDepartment of Medical Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China.
Dong-Yue WenDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China.
Gang ChenDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China.
Sheng-Hua LiDepartment of Urological Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China.
Hai-Biao YanDepartment of Urological Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China.
First Affiliated Hospital of GuangXi Medical University · CNGuangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) remains a principal issue to be addressed in male cancer‑associated mortality. Therefore, the present study aimed to examine the clinical value and associated molecular mechanism of microRNA (miR)‑1 in PCa. A meta‑analysis was conducted to evaluate the diagnosis of miR‑1 in PCa via Gene Expression Omnibus and ArrayExpress datasets, The Cancer Genome Atlas miR‑1 expression data and published literature. It was identified that expression of miR‑1 was significantly downregulated in PCa. Decreased miR‑1 expression possessed moderate diagnostic value, with area under the curve, sensitivity, specificity and odds ratio values at 0.73, 0.77, 0.57 and 4.60, respectively. Using bioinformatics methods, it was revealed that a number of pathways, including the 'androgen receptor signaling pathway', 'androgen receptor activity', 'transcription factor binding' and 'protein processing in the endoplasmic reticulum', were important in PCa. A total of seven hub genes, including phosphoribosylaminoimidazole carboxylase and phosphoribosylaminoimidazolesuccinocarboxamide synthase (PAICS), cadherin 1 (CDH1), SRC proto‑oncogene, non‑receptor tyrosine kinase, twist family bHLH transcription factor 1 (TWIST1), ZW10 interacting kinetochore protein (ZWINT), PCNA clamp associated factor (KIAA0101) and androgen receptor, among which, five (PAICS, CDH1, TWIST1, ZWINT and KIAA0101) were significantly upregulated and negatively correlated with miR‑1, were identified as key miR‑1 target genes in PCa. Additionally, it was investigated whether miR‑1 and its hub genes were associated with clinical features, including age, tumor status, residual tumor, lymph node metastasis, pathological T stage and prostate specific antigen level. Collectively the results suggest that miR‑1 may be involved in the progression of PCa, and consequently be a promising diagnostic marker. The 'androgen receptor signaling pathway', 'androgen receptor activity', 'transcription factor binding' and 'protein processing in the endoplasmic reticulum' may be crucial interactive pathways in PCa. Furthermore, PAICS, CDH1, TWIST1, ZWINT and KIAA0101 may serve as crucial miR‑1 target genes in PCa.

Indexed as

Molecular Diagnostic TechniquesComputational BiologyDatabases, Nucleic AcidGene Expression ProfilingHumansMaleMeta-Analysis as TopicMicroRNAsProstatic NeoplasmsProtein Interaction MappingProtein Interaction MapsSensitivity and SpecificityMicroRNAsMIRN1 microRNA, human

Identifiers

PMID30365107
PMCPMC6236292
OpenAlexW2898432897

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.