Evidence map›Paper›PMID 30689554›Full record

ArticleCancer biomarkers : section A of Disease markers2019

RASSF1A and SOCS1 genes methylation status as a noninvasive marker for hepatocellular carcinoma.

Heba F Pasha, Randa H Mohamed, Mohamed I Radwan

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

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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

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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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

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  11. Diagnostic performance ofClinical and experimental hepatology · 2022
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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

3 authors at 1 institution in 1 country.

Heba F PashaMedical Biochemistry Department, Faculty of Medicine, Zagazig University, Zagazig, Egypt.
Randa H MohamedMedical Biochemistry Department, Faculty of Medicine, Zagazig University, Zagazig, Egypt.
Mohamed I RadwanTropical Medicine Department, Faculty of Medicine, Zagazig University, Zagazig, Egypt.
Zagazig University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDNA methylation status is one of the most prevalent molecular alterations in human cancers. Identification of powerful diagnostic and prognostic biomarkers for hepatocellular carcinoma (HCC) without a biopsy is urgently required.

objectiveThe purpose of this study was to determine the methylation status of RASSF1A and SOCS-1genes as a non-invasive biomarker for HCC identification and prognosis.

methodsMethylation specific-PCR technique was performed to recognize the methylation status of RASSF1A and SOCS-1 genes in 100 patients with HCC, 100 patients with liver cirrhosis (LC) but without HCC were considered as cirrhotic liver control group and 100 healthy control.

resultsMethylation of RASSF1A and SOCS-1 genes were detected in 40% and 38% of HCC patients respectively, 14% and 20% of LC patients respectively. Methylation of SOCS-1 gene in peripheral blood of healthy control was 23%. Methylation of RASSF1A gene was associated with age, tumor size, vascular invasion and α fetoprotein (AFP), while SOCS-1 gene methylation was significantly associated with tumor size and AFP. Furthermore, using RASSF1A/ SOCS-1/ AFP panel improve diagnostic sensitivity for HCC 86% and specificity of 75%.

conclusionRASSF1A and SOCS1 genes methylation status may play an important role in the process of hepatocarcinogenesis and may be used as diagnostic and prognostic noninvasive biomarkers for HCC when combined with serum AFP.

Indexed as

Agedalpha-FetoproteinsBiomarkers, TumorCarcinoma, HepatocellularDNA MethylationFemaleHumansLiver CirrhosisLiver NeoplasmsMaleMiddle AgedPrognosisSensitivity and SpecificitySuppressor of Cytokine Signaling 1 ProteinTumor Suppressor ProteinsAFP protein, humanalpha-FetoproteinsBiomarkers, TumorRASSF1 protein, humanSOCS1 protein, humanSuppressor of Cytokine Signaling 1 ProteinTumor Suppressor ProteinsHepatocellular carcinomamethylationRASSF1ASOCS-1

Identifiers

PMID30689554
PMCPMC13082492
OpenAlexW2911903456

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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.