Evidence map›Paper›PMID 23560033›Full record

ArticlePloS one2013

Salivary microRNAs as promising biomarkers for detection of esophageal cancer.

Zijun Xie, Gang Chen, Xuchao Zhang, Dongfeng Li, Jian Huang, Cuiqin Yang, Pingyong Zhang, Yuxuan Qin, Yifan Duan, Bo Gong and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 9 pooled it
5.6field-weighted citation impact, top 3% 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

89 citing papers in PubMed, 9 syntheses or guidelines pooled it, 146 citations in OpenAlex.

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  8. Identification of microRNAs as novel biomarkers for detecting esophageal squamous cell carcinoma in Asians: a meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
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  12. Salivary biomarkers: a promising approach for predicting immunotherapy response in head and neck cancers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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29 more citing papers are in PubMed but not listed here.

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

11 authors at 3 institutions in 1 country.

Zijun XieDepartment of Gastroenterology, Guangdong Academy of Medical Sciences, Guangdong General Hospital, Guangzhou City, Guangdong Province, China.
Gang Chen
Xuchao Zhang
Dongfeng Li
Jian Huang
Cuiqin Yang
Pingyong Zhang
Yuxuan Qin
Yifan Duan
Bo Gong
Zijun Li
Key Laboratory of Guangdong Province · CNGuangdong General Hospital · CNGuangdong Academy of Medical Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeTissue microRNAs (miRNAs) can detect cancers and predict prognosis. Several recent studies reported that tissue, plasma, and saliva miRNAs share similar expression profiles. In this study, we investigated the discriminatory power of salivary miRNAs (including whole saliva and saliva supernatant) for detection of esophageal cancer. MATERIALS AND

methodsBy Agilent microarray, six deregulated miRNAs from whole saliva samples from seven patients with esophageal cancer and three healthy controls were selected. The six selected miRNAs were subjected to validation of their expression levels by RT-qPCR using both whole saliva and saliva supernatant samples from an independent set of 39 patients with esophageal cancer and 19 healthy controls.

resultsSix miRNAs (miR-10b*, miR-144, miR-21, miR-451, miR-486-5p, and miR-634) were identified as targets by Agilent microarray. After validation by RT-qPCR, miR-10b*, miR-144, and miR-451 in whole saliva and miR-10b*, miR-144, miR-21, and miR-451 in saliva supernatant were significantly upregulated in patients, with sensitivities of 89.7, 92.3, 84.6, 79.5, 43.6, 89.7, and 51.3% and specificities of 57.9, 47.4, 57.9%, 57.9, 89.5, 47.4, and 84.2%, respectively.

conclusionsWe found distinctive miRNAs for esophageal cancer in both whole saliva and saliva supernatant. These miRNAs possess discriminatory power for detection of esophageal cancer. Because saliva collection is noninvasive and convenient, salivary miRNAs show great promise as biomarkers for detection of esophageal cancer in areas at high risk.

Indexed as

Gene Expression Regulation, NeoplasticAdenocarcinomaAdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, Squamous CellCase-Control StudiesEsophageal NeoplasmsFemaleGene Expression ProfilingHumansMaleMicroRNAsMiddle AgedNeoplasm StagingBiomarkers, TumorMicroRNAs

Identifiers

PMID23560033
PMCPMC3613402
OpenAlexW2017928798

What OpenQuestion holds

Textmetadata
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.