Evidence map›Paper›PMID 31435173›Full record

ReviewWorld journal of gastroenterology2019

Multiple "Omics" data-based biomarker screening for hepatocellular carcinoma diagnosis.

Xiao-Na Liu, Dan-Ni Cui, Yu-Fang Li, Yun-He Liu, Gang Liu, Lei Liu

Abstract readReview
In one paragraph

Review in World journal of gastroenterology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

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

  1. Diagnostic accuracy of methylatedFrontiers in endocrinology · 2025
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Prediagnostic plasma proteomics profile for hepatocellular carcinoma.Journal of the National Cancer Institute · 2024
    Article
  10. Journal of thoracic disease · 2024
    Article
  11. Biomarker in Hepatocellular Carcinoma.Indian journal of surgical oncology · 2024
    Review
  12. Review
  13. [Multi-omics combined test performance effectiveness on opportunistic screening of high-risk liver cancer population].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2024
    Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  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

6 authors.

Xiao-Na LiuInstitutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.
Dan-Ni CuiInstitutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.
Yu-Fang LiInstitutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.
Yun-He LiuInstitutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.
Gang LiuInstitutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.
Lei LiuInstitutes of Biomedical Sciences, Fudan University, Shanghai 200032, China. liulei_sibs@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The huge prognostic difference between early and late stage hepatocellular carcinoma (HCC) is a challenging diagnostic problem. Alpha-fetoprotein is the mostly widely used biomarker for HCC used in the clinic, however it's sensitivity and specificity of is not optimal. The development and application of multiple biotechnologies, including next generation sequencing, multiple "omics" data, that include genomics, epigenomics, transcriptomics, proteomics, metabolomics, metagenomics has been used for HCC diagnostic biomarker screening. Effective biomarkers/panels/models have been identified and validated at different clinical levels. A large proportion of these have a good diagnostic performance for HCC, especially for early HCC. In this article, we reviewed the various HCC biomarkers derived from "omics" data and discussed the advantages and disadvantages for diagnosis HCC.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularClinical Trials as TopicComputational BiologyEarly Detection of CancerHigh-Throughput Screening AssaysHumansLiver NeoplasmsPredictive Value of TestsSensitivity and SpecificityBiomarkers, TumorCirculating tumor cellsCirculating tumor DNADiagnosisExosomesHepatocellular carcinomaMetabolomicsProteinRNA

Identifiers

PMID31435173
PMCPMC6700689

What OpenQuestion holds

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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.