Evidence map›Paper›PMID 35798798›Full record

ArticleScientific reports2022

DNA methylation fingerprint of hepatocellular carcinoma from tissue and liquid biopsies.

Emanuel Gonçalves, Maria Gonçalves-Reis, José B Pereira-Leal, Joana Cardoso

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Diagnostic accuracy of methylatedFrontiers in endocrinology · 2025
    Pooled it
  2. Improving surgical treatments for hepatocellular carcinoma.Nature reviews. Gastroenterology & hepatology · 2026
    Review
  3. Article
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  7. Review
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  11. Review
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  13. Article
  14. Blood biomarkers of hepatocellular carcinoma: a critical review.Frontiers in cell and developmental biology · 2024
    Review
  15. Article
  16. Article
  17. Liquid Liver Biopsy for Disease Diagnosis and Prognosis.Journal of clinical and translational hepatology · 2023
    Review
  18. Review
  19. Article
  20. 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

4 authors at 1 institution in 1 country.

Emanuel GonçalvesOphiomics, Pólo Tecnológico de 8, R. Cupertino de Miranda 9, 1600-513, Lisbon, Portugal.
Maria Gonçalves-ReisOphiomics, Pólo Tecnológico de 8, R. Cupertino de Miranda 9, 1600-513, Lisbon, Portugal.
José B Pereira-LealOphiomics, Pólo Tecnológico de 8, R. Cupertino de Miranda 9, 1600-513, Lisbon, Portugal.
Joana CardosoOphiomics, Pólo Tecnológico de 8, R. Cupertino de Miranda 9, 1600-513, Lisbon, Portugal. jvaz@ophiomics.com.
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is amongst the cancers with highest mortality rates and is the most common malignancy of the liver. Early detection is vital to provide the best treatment possible and liquid biopsies combined with analysis of circulating tumour DNA methylation show great promise as a non-invasive approach for early cancer diagnosis and monitoring with low false negative rates. To identify reliable diagnostic biomarkers of early HCC, we performed a systematic analysis of multiple hepatocellular studies and datasets comprising > 1500 genome-wide DNA methylation arrays, to define a methylation signature predictive of HCC in both tissue and cell-free DNA liquid biopsy samples. Our machine learning pipeline identified differentially methylated regions in HCC, some associated with transcriptional repression of genes related with cancer progression, that benchmarked positively against independent methylation signatures. Combining our signature of 38 DNA methylation regions, we derived a HCC detection score which confirmed the utility of our approach by identifying in an independent dataset 96% of HCC tissue samples with a precision of 98%, and most importantly successfully separated cfDNA of tumour samples from healthy controls. Notably, our risk score could identify cell-free DNA samples from patients with other tumours, including colorectal cancer. Taken together, we propose a comprehensive HCC DNA methylation fingerprint and an associated risk score for detection of HCC from tissue and liquid biopsies.

Indexed as

Carcinoma, HepatocellularCell-Free Nucleic AcidsLiver NeoplasmsBiomarkers, TumorDNA MethylationHumansLiquid BiopsyBiomarkers, TumorCell-Free Nucleic Acids

Identifiers

PMID35798798
PMCPMC9262906
OpenAlexW4284882209

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.