Evidence map›Paper›PMID 35681679›Full record

ReviewCancers2022

Biomarkers for the Detection and Management of Hepatocellular Carcinoma in Patients Treated with Direct-Acting Antivirals.

Loraine Kay D Cabral, Luca Grisetti, Muhammad Yogi Pratama, Claudio Tiribelli, Devis Pascut

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Research progress on the mechanism of exosome-mediated virus infection.Frontiers in cellular and infection microbiology · 2024
    Review
  3. Article
  4. Article
  5. Review
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 at 2 institutions in 1 country.

Loraine Kay D CabralFondazione Italiana Fegato-ONLUS, AREA Science Park, Basovizza, 34149 Trieste, Italy.ORCID 0000-0001-7931-7489
Luca GrisettiFondazione Italiana Fegato-ONLUS, AREA Science Park, Basovizza, 34149 Trieste, Italy.ORCID 0000-0002-0243-9290
Muhammad Yogi PratamaFondazione Italiana Fegato-ONLUS, AREA Science Park, Basovizza, 34149 Trieste, Italy.
Claudio TiribelliFondazione Italiana Fegato-ONLUS, AREA Science Park, Basovizza, 34149 Trieste, Italy.ORCID 0000-0001-6596-7595
Devis PascutFondazione Italiana Fegato-ONLUS, AREA Science Park, Basovizza, 34149 Trieste, Italy.ORCID 0000-0003-0583-1973
Fondazione Italiana Fegato · ITUniversity of Trieste · IT

Funding

Department of Science and Technology - Philippine Council for Health Research and Develop-ment (DoST - PCHRD). Ph.D. FellowshipPORFESR 2007-2013 of the region Friuli Venezia Giulia DGR 2195 dd 20/12/2019University of Trieste Ph.D. scholarship
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is the sixth-most common type of cancer worldwide and chronic Hepatitis C virus (HCV) represents the main etiological factor in developed countries. HCV promotes hepatocarcinogenesis through persistent liver inflammation and dysregulation of cell signaling pathways. The introduction of direct-acting antivirals (DAAs) resulted in a significant improvement in the eradication of the virus, with an expected reduction of HCC incidence. However, the risk of HCC development can persist after DAA treatment. Recent studies have investigated the potential use of molecular biomarkers that predict HCC occurrence or recurrence helping the stratification of patients under surveillance. This review aimed to summarize all pre-clinical exploration of predictive biomarkers to identify DAA-treated patients at risk for HCC development. Dysregulated microRNAs, lncRNAs, histone modifications, cytokines, proteins, and sphingolipids represent various classes of HCC risk predictors identified in two different biological sources (tissue and serum). The non-invasive serum markers can provide a more accessible means to perform clinical monitoring and predict the risk of HCC. In addition, conditions like cirrhosis, predisposing to HCC, strongly correlate with most of the molecular predictors identified, supporting the value of these molecules as possible biomarkers of HCC in DAA-treated patients.

Indexed as

biomarkersDAA-treatmentHCVhepatocellular carcinomaserumtissue

Identifiers

PMID35681679
PMCPMC9179595
OpenAlexW4281676022

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.