Evidence map›Paper›PMID 29312570›Full record

ArticleOncotarget2017

Serum microRNA signatures and metabolomics have high diagnostic value in hepatocellular carcinoma.

Hai-Ning Liu, Hao Wu, Yan-Jie Chen, Yu-Jen Tseng, Enkhnaran Bilegsaikhan, Ling Dong, Xi-Zhong Shen, Tao-Tao Liu

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. miR-224 Regulates the Aggressiveness of Hepatoma Cells Through the IL-6/STAT3/SMAD4 Pathway.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2021
    Article
  5. Review
  6. Review
  7. Article
  8. BiomarkersWorld journal of clinical cases · 2019
    Review
  9. Article
  10. 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.

Hai-Ning LiuDepartment of Gastroenterology, Zhongshan Hospital of Fudan University, Shanghai 200032, China.
Hao WuDepartment of Gastroenterology, Zhongshan Hospital of Fudan University, Shanghai 200032, China.
Yan-Jie ChenDepartment of Gastroenterology, Zhongshan Hospital of Fudan University, Shanghai 200032, China.
Yu-Jen TsengDepartment of Gastroenterology, Zhongshan Hospital of Fudan University, Shanghai 200032, China.
Enkhnaran BilegsaikhanDepartment of Gastroenterology, Zhongshan Hospital of Fudan University, Shanghai 200032, China.
Ling DongDepartment of Gastroenterology, Zhongshan Hospital of Fudan University, Shanghai 200032, China.
Xi-Zhong ShenDepartment of Gastroenterology, Zhongshan Hospital of Fudan University, Shanghai 200032, China.
Tao-Tao LiuDepartment of Gastroenterology, Zhongshan Hospital of Fudan University, Shanghai 200032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany new diagnostic biomarkers have been developed for hepatocellular carcinoma (HCC). We selected two methods with high diagnostic value, the detection of serum microRNAs and metabolomics based on gas chromatography/mass spectrometry (GC/MS), and attempted to establish appropriate models.

methodsWe reviewed the diagnostic efficiencies of all microRNAs identified by previous diagnostic tests. Then we chose appropriate microRNAs to validate the diagnostic efficiencies, and determined the optimal combination. We included 66 patients with HCC and 82 healthy controls (HCs) and detected the expression of the microRNAs. GC/MS analysis was performed, and we used three multivariate statistical methods to establish diagnostic models. The concentration of alpha feto-protein (AFP) was determined for comparison with the novel models.

results82 published studies and 92 microRNAs were ultimately included in this systematic review. Seven microRNAs were selected for further validation of their diagnostic efficiencies. Among which, miR-21, miR-106b, miR-125b, miR-182 and miR-224 had a significantly different expression in HCC patients. The combination of miR-21, miR-106b and miR-224 had the highest area under the curve (AUC) at 0.950 with a sensitivity of 80.3% and a specificity of 92.7%. The GC/MS analysis exhibited an excellent diagnostic value and the AUC reached 1.0. In comparison, the AUC of the traditional biomarker, AFP, was 0.755.

conclusionMicroRNAs and metabolomics shows promising potential as new diagnostic methods due to their high diagnostic value compared with traditional biomarkers.

Indexed as

diagnostic testliver neoplasmsmeta-analysismetabolomicsmicroRNA

Identifiers

PMID29312570
PMCPMC5752483

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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.