Evidence map›Paper›PMID 31856390›Full record

Observational studyCancer medicine2020

Identification of a 7-microRNA signature in plasma as promising biomarker for nasopharyngeal carcinoma detection.

Huo Zhang, Xuan Zou, Lirong Wu, Shiyu Zhang, Tongshan Wang, Ping Liu, Wei Zhu, Jun Zhu

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
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  18. Circulating miRNAs Act as Diagnostic Biomarkers for Bladder Cancer in Urine.International journal of molecular sciences · 2021
    Article
  19. Review
  20. An Oxidative Stress-Related Gene Pair (Frontiers in immunology · 2021
    Article
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

8 authors at 4 institutions in 1 country.

Huo ZhangDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, PR China.
Xuan ZouFudan University Shanghai Cancer Center, Xuhui, Shanghai, PR China.
Lirong WuDepartment of Radiation Oncology, Nanjing Medical University Affiliated Cancer Hospital, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, PR China.
Shiyu ZhangDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, PR China.
Tongshan WangDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, PR China.
Ping LiuDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, PR China.
Wei ZhuDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, PR China.ORCID 0000-0002-5744-5962
Jun ZhuDepartment of Radiation Oncology, Nanjing Medical University Affiliated Cancer Hospital, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, PR China.
Jiangsu Province Hospital · CNJiangsu Cancer Hospital · CNFudan University Shanghai Cancer Center · CNNorthern Jiangsu People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCirculating microRNAs (miRNAs) have become reliable sources of non-invasive biomarkers for cancer diagnosis. Identification of promising miRNA biomarkers in plasma might benefit a lot to the detection of nasopharyngeal carcinoma (NPC).

methodsThe Exiqon miRNA qPCR panel was used in the screening stage to identify candidate miRNAs, which were further verified by quantitative reverse transcription polymerase chain reaction (qRT-PCR) in the following three stages among plasma samples from 200 NPC patients and 189 healthy donors (as normal controls [NCs]). The identified miRNAs were further explored in tissue specimens (48 NPC vs 32 NCs) and plasma exosomes (32 NPC vs 32 NCs). Survival analyses were ultimately conducted by Cox regression models and Kaplan-Meier curves using log-rank tests.

resultsWe identified a 7-miRNA signature including let-7b-5p, miR-140-3p, miR-144-3p, miR-17-5p, miR-20a-5p, miR-20b-5p, and miR-205-5p in plasma for NPC diagnosis after four-stage validation. The areas under the receiver operating characteristic curve (AUCs) for the signature were 0.879, 0.884, 0.921, and 0.807 for the training, testing, external validation stage, and the combined three stages, respectively. In NPC tissues, miR-144-3p, miR-17-5p, miR-20a-5p, and miR-205-5p were consistently up-regulated while let-7b-5p and miR-140-3p were significantly down-regulated compared to NCs. However, none of the seven identified miRNAs were dysregulated in plasma-derived exosomes in NPC patients. As to survival analysis, none of the seven miRNAs seemed to be associated with NPC prognosis.

conclusionWe identified a 7-miRNA signature in plasma as promising non-invasive biomarkers for NPC detection.

Indexed as

Gene Expression Regulation, NeoplasticAgedBiomarkers, TumorCirculating MicroRNAExosomesFemaleGene Expression ProfilingHumansMaleMicroRNAsMiddle AgedNasopharyngeal CarcinomaNasopharyngeal NeoplasmsNasopharynxPrognosisROC CurveBiomarkers, TumorCirculating MicroRNAMicroRNAsbiomarkernasopharyngeal carcinomaplasma miRNAqRT-PCR

Identifiers

PMID31856390
PMCPMC6997065
OpenAlexW2996706636

What OpenQuestion holds

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LicenceCC BY
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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.