Evidence map›Paper›PMID 29084195›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2017

C10orf116 Gene Copy Number Loss in Prostate Cancer: Clinicopathological Correlations and Prognostic Significance.

Jie Meng, Li-Hui Wang, Chun-Lin Zou, Sheng-Ming Dai, Jian Zhang, Yi Lu

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 9 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

6 authors at 3 institutions in 1 country.

Jie MengKey Laboratory of Longevity and Aging-related Diseases (Guangxi Medical University), Ministry of Education, Nanning, Guangxi, China (mainland).
Li-Hui WangKey Laboratory of Longevity and Aging-related Diseases (Guangxi Medical University), Ministry of Education, Nanning, Guangxi, China (mainland).
Chun-Lin ZouKey Laboratory of Longevity and Aging-related Diseases (Guangxi Medical University), Ministry of Education, Nanning, Guangxi, China (mainland).
Sheng-Ming DaiMedical Science Laboratory, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, Guangxi, China (mainland).
Jian ZhangSouthern University of Science and Technology, School of Medicine, Shenzhen, Guangdong, China (mainland).
Yi LuKey Laboratory of Longevity and Aging-related Diseases (Guangxi Medical University), Ministry of Education, Nanning, Guangxi, China (mainland).
Guangxi Medical University · CNFourth Affiliated Hospital of Guangxi Medical University · CNSouthern University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Prostate cancer (PCa) is the second most commonly diagnosed cancer in males worldwide. This study aimed to identify differentially expressed genes and to investigate the potential correlation between gene abnormalities and clinical features in PCa to evaluate disease progression and prognosis. MATERIAL AND METHODS A total of 4 independent microarrays of PCa patients from the Oncomine database were used to identify differences in expression of genes contributing to cancer progression. Quantitative real-time polymerase chain reaction (RT-qPCR) analysis was used to evaluate the mRNA expression of the target in human prostate cancer cells. To explore the relationship between the DNA copy number alteration and mRNA expression changes, dataset containing copy number alteration, DNA methylation, and gene expression in PCa were obtained from the cBioPortal online platform (n=273). RESULTS We identified 40 genes that were significantly dysregulated in PCa from 4 independent microarrays. Among these, 3 genes showed a consistent change of over 2-fold in the 4 microarrays. The mRNA expression of C10orf116 showed consistent expression in prostate cancer cells compared with that in prostate gland cells as assessed by RT-qPCR. Moreover, C10orf116 loss was associated with poor distant relapse-free survival (DFS) by analyzing data of 273 PCa patients, but it was not identified as an independent prognostic risk factor for DFS. In addition, we found that C10orf116 loss was associated with higher pathological stage, higher clinical stage, and lymph node metastasis in PCa, and that C10orf116 copy number was highly correlated with PTEN copy number and mRNA expression. CONCLUSIONS As a predictive indicator, C10orf116 loss contributes to our understating of the biology of aggressive changes in PCa and also helps evaluate the prognosis of patients.

Indexed as

Gene DosageCell Line, TumorComputational BiologyDisease-Free SurvivalGene Expression Regulation, NeoplasticHumansMaleMiddle AgedMultivariate AnalysisNeoplasm Recurrence, LocalNuclear ProteinsPrognosisProstatic NeoplasmsPTEN PhosphohydrolaseRNA, MessengerADIRF protein, humanNuclear ProteinsPTEN PhosphohydrolasePTEN protein, humanRNA, Messenger

Identifiers

PMID29084195
PMCPMC5674938
OpenAlexW2766726718

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.