Evidence map›Paper›PMID 30425004›Full record

ArticleEBioMedicine2018

miRNA arm switching identifies novel tumour biomarkers.

Liang Chen, Huiyan Sun, Changliang Wang, Yang Yang, Menglei Zhang, Garry Wong

Abstract read
In one paragraph

Article in EBioMedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Liang ChenCancer Centre, Centre of Reproduction, Development and Aging, Faculty of Health Sciences, University of Macau, Taipa, Macau S.A.R., China.
Huiyan SunKey Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China.
Changliang WangCancer Centre, Centre of Reproduction, Development and Aging, Faculty of Health Sciences, University of Macau, Taipa, Macau S.A.R., China.
Yang YangCancer Centre, Centre of Reproduction, Development and Aging, Faculty of Health Sciences, University of Macau, Taipa, Macau S.A.R., China.
Menglei ZhangCancer Centre, Centre of Reproduction, Development and Aging, Faculty of Health Sciences, University of Macau, Taipa, Macau S.A.R., China.
Garry WongCancer Centre, Centre of Reproduction, Development and Aging, Faculty of Health Sciences, University of Macau, Taipa, Macau S.A.R., China. Electronic address: GarryGWong@umac.mo.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundmicroRNAs have been reported to play critical roles in cancer and to have potential as diagnostic biomarkers. During miRNA biogenesis, one strand of the miRNA hairpin precursor is preferentially selected as a functionally mature miRNA, while the other strand is typically degraded. Arm switching occurs when the strand preference is changed. This preference can be different and can change dynamically depending upon the species, tissue types, or development stages. Due to recent advances in next-generation sequencing methods, arm switching has been observed in a variety of cancers.

methodsA tumour miRNA-Seq dataset was collected from The Cancer Genome Atlas (TCGA). The support vector machine (SVM) method combined with 5-fold cross validation was applied to select the best combination of arm-switched miRNA tumour markers. Survival analysis was also applied to identify patient survival associated miRNA markers.

findingsWe observed 51 arm-switched miRNAs and of these, 7 were associated with patient survival. Twenty-three 1-combination arm switching miRNAs with excellent diagnostic value were identified. Interestingly, ovarian cancer showed a significant difference in arm switching pattern compared with 32 other cancers.

interpretationThese results suggest that arm switching miRNAs could be used as potential biomarkers for various cancers. FUND: This work was partially supported by the National Natural Science Foundation of China (no. 61472158, 61572227), and University of Macau Faculty of Health Sciences (MYRG2016-00101-FHS).

Indexed as

Biomarkers, TumorRNA InterferenceComputational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticHigh-Throughput Nucleotide SequencingHumansKaplan-Meier EstimateMicroRNAsNeoplasmsPrognosisProportional Hazards ModelsSupport Vector MachineBiomarkers, TumorMicroRNAsArm switchingBiomarkermicroRNAPan-cancerSurvival analysisSVM

Identifiers

PMID30425004
PMCPMC6306400

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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.