Evidence map›Paper›PMID 30475754›Full record

ArticleCancer biomarkers : section A of Disease markers2018

Plasma microRNA expression signature involving miR-548q, miR-630 and miR-940 as biomarkers for nasopharyngeal carcinoma detection.

Xianlu Zhuo, Wei Zhou, Dairong Li, Aoshuang Chang, Ying Wang, Yongzhong Wu, Qi Zhou

Abstract read
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Article in Cancer biomarkers : section A of Disease markers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

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0cells of the map it votes in
13citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Xianlu ZhuoChongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing Cancer Institute, Chongqing Cancer Hospital, Chongqing 400030, China.
Wei ZhouChongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing Cancer Institute, Chongqing Cancer Hospital, Chongqing 400030, China.
Dairong LiChongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing Cancer Institute, Chongqing Cancer Hospital, Chongqing 400030, China.
Aoshuang ChangAffiliated Hospital of Guizhou Medical University, Guiyang, Guizhou 550004, China.
Ying WangChongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing Cancer Institute, Chongqing Cancer Hospital, Chongqing 400030, China.
Yongzhong WuChongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing Cancer Institute, Chongqing Cancer Hospital, Chongqing 400030, China.
Qi ZhouChongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing Cancer Institute, Chongqing Cancer Hospital, Chongqing 400030, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreasing studies have identified a series of circulating mircoRNAs (miRNAs) as biomarkers for disease detection due to their stability in the blood. The aim of the present study was to identify specific plasma miRNAs as potential biomarkers for nasopharyngeal carcinoma (NPC) detection. MATERIALS AND

methodsRelative public microarray data were obtained and analyzed for screening of the plasma differentially expressed miRNAs (DEMs) between NPC patients and controls. This study contained two phases: a screening phase and a validation one. Logistic regression and receiver operating characteristics curve (ROC) analyses were used to identify DEM signatures. Moreover, targeted genes of the selected DEMs were predicted and their functions were annotated by using bioinformatic analysis.

resultsBoth the screening and the validation phases showed that three miRNAs (miR-548q, miR-630 and miR-940) in the plasma of NPC patients were up-regulated compared to those of controls. They can be used as biomarkers for discriminating NPC patients from non-cancerous controls. Moreover, we found a classifier including only two miRNAs (miR-548q and miR-940) that can be used as a diagnostic signature for NPC, achieving an area under curve (AUC) of 0.972, a sensitivity of 0.94, and a specificity of 0.925.

conclusionsThe present study demonstrated that three miRNAs (miR-548q, miR-630 and miR940) might be novel and useful biomarkers for NPC detection. A two-miRNA signature (miR-548q and miR940) may be considered as a better biomarker for NPC detection with relatively high sensitivity and specificity. Future studies with large sample sizes are needed for further validation.

Indexed as

AdultAgedBiomarkers, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLogistic ModelsMaleMicroRNAsMiddle AgedNasopharyngeal CarcinomaBiomarkers, TumorMicroRNAsMIRN548 microRNA, humanMIRN630 microRNA, humanMIRN940 microRNA, humanaccuracydiagnosismicroRNANasopharyngeal carcinomaplasma

Identifiers

PMID30475754
PMCPMC13078582

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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.