Evidence map›Paper›PMID 25761179›Full record

SynthesisMedicine2015

Circulating microRNAs as biomarkers in hepatocellular carcinoma screening: a validation set from China.

Li Jiang, Qi Cheng, Bin-Hao Zhang, Ming-Zhi Zhang

Registry-linked trialOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02656589 (A Perspective Study of the Predictive Value of microRNA in Patients With HER2 Positive Advanced Stage Breast Cancer Who Were Treated With Herceptin), which is not on this map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 9% 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.

NCT02656589 unknown statusnot on this map

A Perspective Study of the Predictive Value of microRNA in Patients With HER2 Positive Advanced Stage Breast Cancer Who Were Treated With Herceptin

TypeobservationalSponsorSun Yat-Sen Memorial Hospital of Sun Yat-Sen UniversityRan2015 to 2018Enrolled300ConditionsBreast CancerArmsCapecitabine, Trastuzumab
3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Investigation of microRNA-10b values for the discrimination of metastasis due to melanoma.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2021
    Article
  12. Article
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  15. Article
  16. BiomarkersWorld journal of clinical cases · 2019
    Review
  17. Article
  18. Review
  19. Review
  20. 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

4 authors at 1 institution in 1 country.

Li JiangFrom the Department of Biliary and Pancreatic Surgery (LJ); Hepatic Surgery Center, Affiliated Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (QC,B-HZ); and Departments of Medicine and Cancer Biology, Vanderbilt University School of Medicine, Nashville, Tennessee (M-ZZ).
Qi Cheng
Bin-Hao Zhang
Ming-Zhi Zhang
Huazhong University of Science and Technology · CN

Funding

The Role of renal macrophages in recovery from renal injuryR01DK095785 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RAYMOND C. HARRIS, Mingzhi Zhang · 2013 to 2026
$6.7M
NIDDK NIH HHS R01 DK095785
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is a global public health concern. Current diagnostic methods show poor performance in early-stage HCC detection. Accumulating evidences revealed the great potential of microRNAs (miRNAs) as noninvasive biomarkers in HCC detection. In this study, we examined the diagnostic performance of serum miR-10b, miR-106b, and miR-181a for HCC screening in China. Furthermore, a systematic review of previous related studies was conducted to confirm our results. One hundred eight participants including 27 HCC patients, 31 chronic liver disease (CLD) patients, and 50 healthy people were recruited in this study. Blood specimen was drawn from each participant to extract serum miRNAs. Statistical analyses were performed to assess the 3 miRNAs levels in HCC, CLD patients, and normal controls. A meta-analysis was conducted to further assess the diagnostic value of miRNAs in HCC detection based on previous studies. All these miRNAs (miR-10b, miR-181a, miR-106b) could well discriminate HCC patients from normal controls, with area under the receiver-operating characteristic curve (AUC) values of 0.85 (95% confidence interval [CI]: 0.76-0.94), 0.82 (95% CI: 0.72-0.91), and 0.89 (95% CI: 0.81-0.97), respectively. In addition, these miRNAs could distinguish HCC cases from CLD controls with a medium accuracy. However, the ability of these miRNAs in differentiating CLD patients from normal controls was not satisfactory. Panel of these miRNAs displayed a better performance compared with single miRNA assay, with AUC values of 0.94 (95% CI: 0.89-0.99) in discriminating HCC patients from normal controls and 0.91 (95% CI: 0.80-0.97) in discriminating HCC patients from CLD controls. Results of meta-analysis of previous studies combined with the current study suggested that circulating miRNAs could well differentiate HCC from normal controls, with AUC values of 0.86 (95% CI: 0.82-0.89) for single miRNA assay and 0.94 (95% CI: 0.91-0.96) for miRNA panel assay. Serum miR-10b, miR-106b, and miR-181a have great potential to serve as accurate and noninvasive biomarkers for HCC preliminary screening. Meta-analysis of previous studies combined with current study further confirmed that circulating miRNAs could play an important role in HCC detection. Further large-scale studies are needed to confirm the clinical significance of circulating miRNAs in HCC screening.

Indexed as

Area Under CurveBiomarkers, TumorCarcinoma, HepatocellularFemaleHumansLiver NeoplasmsMaleMicroRNAsMiddle AgedReverse Transcriptase Polymerase Chain ReactionBiomarkers, TumorMicroRNAsMIRN106 microRNA, humanMIRN10 microRNA, humanMIrn181 microRNA, human

Identifiers

PMID25761179
PMCPMC4602462
OpenAlexW2083009530

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.