Evidence map›Paper›PMID 33003646›Full record

ArticleCancers2020

Circulatory miRNA as a Biomarker for Therapy Response and Disease-Free Survival in Hepatocellular Carcinoma.

Muhammad Yogi Pratama, Alessia Visintin, Lory Saveria Crocè, Claudio Tiribelli, Devis Pascut

Abstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–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

20 citing papers in PubMed.

  1. Article
  2. Review
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  9. Article
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  11. Review
  12. Article
  13. Epigenetic remodelling in human hepatocellular carcinoma.Journal of experimental & clinical cancer research : CR · 2022
    Review
  14. Review
  15. Review
  16. Review
  17. Review
  18. Biomarkers for hepatocellular carcinoma based on body fluids and feces.World journal of gastrointestinal oncology · 2021
    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

5 authors.

Muhammad Yogi PratamaFondazione Italiana Fegato-ONLUS, Area Science Park, ss14, km163.5, 34149 Trieste, Italy.
Alessia VisintinDepartment of Medical Sciences, University of Trieste, 34149 Trieste, Italy.
Lory Saveria CrocèFondazione Italiana Fegato-ONLUS, Area Science Park, ss14, km163.5, 34149 Trieste, Italy.ORCID 0000-0001-9890-7011
Claudio TiribelliFondazione Italiana Fegato-ONLUS, Area Science Park, ss14, km163.5, 34149 Trieste, Italy.ORCID 0000-0001-6596-7595
Devis PascutFondazione Italiana Fegato-ONLUS, Area Science Park, ss14, km163.5, 34149 Trieste, Italy.ORCID 0000-0003-0583-1973

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clinical outcome of hepatocellular carcinoma (HCC) treatment remains unsatisfactory, contributing to the high mortality of HCC worldwide. Circulating miRNAs have the potential to be a predictor of therapy response. Microarray profiling was performed in serum samples of 20 HCC patients before treatment. Circulating miRNAs associated with treatment response were validated in 86 serum HCC samples using the qRT-PCR system. Patients were treated either with curative treatments (resection or radiofrequency) or trans-arterial chemoembolization (TACE), and grouped according to therapy response in complete responders (CR) and partial responders or progressive disease (PRPD), following mRECIST criteria. Four miRNA candidates from the discovery phase (miR-4443, miR-4454, miR-4492, and miR-4530) were validated. Before therapy, miR-4454 and miR-4530 were up-regulated in CR to curative treatments (2.83 fold,

Indexed as

liver tumornon-coding RNAradiofrequency ablationserum biomarkerTACE

Identifiers

PMID33003646
PMCPMC7601056

What OpenQuestion holds

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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.