Evidence map›Paper›PMID 31455274›Full record

ArticleBMC cancer2019

Genome-wide study of salivary microRNAs as potential noninvasive biomarkers for detection of nasopharyngeal carcinoma.

Lirong Wu, Kexiao Zheng, Cheng Yan, Xuan Pan, Yatian Liu, Juying Liu, Feijiang Wang, Wenjie Guo, Xia He, Jiong Li and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

26 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
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  5. Leveraging Saliva for Insights into Head and Neck Cancer.International journal of molecular sciences · 2024
    Review
  6. [Advances in salivary exosomal miRNAs in head and neck squamous carcinoma].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2024
    Review
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  9. Network approach in liquidomics landscape.Journal of experimental & clinical cancer research : CR · 2023
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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

11 authors at 2 institutions in 1 country.

Lirong WuDepartment of Radiation Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210009, China.
Kexiao ZhengNano-Bio-Chem Centre, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, 215123, China.
Cheng YanNano-Bio-Chem Centre, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, 215123, China.
Xuan PanDepartment of Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210009, China.
Yatian LiuDepartment of Radiation Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210009, China.
Juying LiuDepartment of Radiation Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210009, China.
Feijiang WangDepartment of Radiation Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210009, China.
Wenjie GuoDepartment of Radiation Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210009, China.
Xia HeDepartment of Radiation Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210009, China. hexia206@yeah.net.
Jiong LiNano-Bio-Chem Centre, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, 215123, China. jli2006@sinano.ac.cn.
Ye ShenNano-Bio-Chem Centre, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, 215123, China. yshen2010@sinano.ac.cn.ORCID http://orcid.org/0000-0002-4448-2158
Jiangsu Cancer Hospital · CNChinese Academy of Sciences · CN

Funding

Imaging for Assessment and Prediction of Response to Therapy in Triple Negative Breast CancerR00CA201601 · NCI · YALE UNIVERSITY · PI MARQUEZ-NOSTRA, BERNADETTE · 2017 to 2019
$747k
IMAGING FOR ASSESSMENT AND PREDICTION OF RESPONSE TO THERAPY FOR TRIPLE NEGATIVE BREAST CANCERK99CA201601 · NCI · WASHINGTON UNIVERSITY · PI MARQUEZ-NOSTRA, BERNADETTE · 2016 to 2017
$191k
Jiangsu Provincial Commission of Health and Family Planning (CN) Q201601National Natural Science Foundation of China 61671445National Natural Science Foundation of China 81672989Science and Technology Support Program of Jiangsu Province BE2016681Young Scientists Fund 31300301
6 · The paper itself

Abstract

backgroundRecent studies reported that blood-based microRNAs (miRNAs) could detect cancers and predict prognosis have opened a new field of utilizing circulating miRNAs as cancer biomarkers. In this pilot study, we conducted for the first time, to our knowledge, the evaluation of the applicability of salivary miRNAs as novel biomarkers for nasopharyngeal carcinoma (NPC) detection.

methodsMicroarray miRNA expression profiling was performed on saliva samples from 22 newly diagnosed NPC patients and 25 healthy controls, and 12 significantly down-regulated miRNAs were selected for quantitative real-time-PCR (qRT-PCR) validation and further analysis. Their target genes enriched by gene ontology and pathway analysis were used to construct regulatory and interaction networks. The receiver operating characteristic analyses (ROC) and logistic regression were calculated to assess discriminatory accuracy.

resultsTwelve dysregulated miRNAs screened by microarray that showed the same expression patterns with qRT-PCR analysis. Through bioinformatics analysis, the most prominent hub gene probably regulated by the 12 down-regulated miRNAs is found to be TP53. The ROC including the 12 miRNAs separated NPC patients from healthy controls with very high accuracy (areas under the receiver operating characteristic curve [AUC] = 0.999, sensitivity = 100.00%, specificity = 96.00%). Furthermore, if only six significantly dysregulated miRNAs were selected for the ROC analysis, the accuracy is still impressive (AUC = 0.941, sensitivity = 95.45%, specificity = 80.00%).

conclusionsThis study highlights the potential for salivary miRNAs as biomarkers for the detection of NPC. Meanwhile, differentially expressed miRNAs in saliva might play critical roles in NPC by regulating their target genes, which associated with some significant pathways, such as p53 signaling pathway.

Indexed as

Biomarkers, TumorCirculating MicroRNAAdultAgedCase-Control StudiesComputational BiologyFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksGenome-Wide Association StudyHumansLiquid BiopsyMaleMicroRNAsMiddle AgedBiomarkers, TumorCirculating MicroRNAMicroRNAsBiomarkersMicroRNANasopharyngeal carcinomaSaliva

Identifiers

PMID31455274
PMCPMC6712819
OpenAlexW2971161296

What OpenQuestion holds

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LicenceCC BY
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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.